JP7033985B2 - Aquatic organism production control system - Google Patents

Description

The present invention accumulates environmental data such as illuminance and water quality in aquatic tanks, feeding information such as the amount of feed to aquatic organisms, and aquatic organism data such as the size of aquatic organisms in a database in land-based aquaculture of aquatic organisms. An aquatic organism production management system that can produce aquatic organisms of uniform size and quality in a desired period while improving feeding efficiency and yield by repeatedly analyzing and learning the vast amount of accumulated data. Regarding.

In recent years, the supply of fish and shellfish and other aquatic life resources has not caught up with the rapid increase in the global population and diversification of food, and the industrialization of aquaculture farms is progressing.

Therefore, land-based aquaculture, which enables stable production of aquatic organisms regardless of location or season, is attracting attention, but experienced people with know-how always rely on their experience and intuition while watching the state of aquatic organisms, and the water quality Since it was necessary to operate equipment related to adjustment and feeding, the part that became personal was very large.

In order to solve this, various devices and system automation techniques in land-based aquaculture are disclosed. For example, in Patent Document 1, the behavior of aquatic organisms is image-analyzed to always provide an appropriate amount of food. An automatic feeding device for aquatic organisms that realizes automatic feeding, high feeding rate, reduction of food cost, reduction of human burden, and prevention of pollution of environmental water is disclosed.

Further, in Patent Document 2, aquatic organisms that can accurately measure the three-dimensional position of aquatic organisms after corresponding to the three-dimensional positions of aquatic organisms such as fish that move three-dimensionally in the aquatic tank. The growth state monitoring method and the device thereof are disclosed, and further, the optimum control of the feeding amount by the feeding device, the optimum control of the heating amount in the water temperature control device, and the like are disclosed.

Further, Patent Document 3 discloses an indoor aquaculture system capable of performing automatic monitoring of water quality, automatic exchange of aquaculture water, and automatic feeding.

JP-A-9-262040 Japanese Patent Application Laid-Open No. 2003-250382 JP 2006-42635

When actually aquaculture is carried out as a business, the aquaculture period considering the shipping time of aquatic organisms such as fish, that is, planned production considering market trends and needs, as well as the cost of aquaculture, fish, etc. Production control such as maintaining uniform quality of aquaculture is required.

However, in Patent Document 1, the underwater behavior of aquatic organisms at the time of feeding, that is, the appropriate amount of feeding is determined only by the amount of activity, and the planned feeding with an eye on the entire aquaculture period is not controlled. do not have. Further, in Patent Document 2, the feeding amount, water quality, environment, etc. are controlled by accurately measuring the three-dimensional position of the aquatic organism, but the standard deviation of a plurality of aquatic organisms is made small and a certain quality is prepared. Such a viewpoint of production control is not disclosed. Similarly, Patent Document 3 shows that the optimum aquaculture environment is maintained, but there is no viewpoint of production control.

Therefore, in the present invention, in the land aquaculture of aquatic organisms, in order to realize efficient aquaculture of aquaculture organisms of uniform size and quality from the viewpoint of production control, environmental data such as illuminance and water quality in the aquatic tank, aquatic organisms. By accumulating feeding information such as the amount of feed to aquaculture and aquaculture data such as the size of aquatic organisms in a database and repeatedly analyzing and learning the enormous amount of accumulated data, aquaculture organisms of uniform size and quality can be produced. It can be cultivated with the minimum amount of feed, has good feeding efficiency, and can be produced in a desired period, and the production control of aquatic organisms is stable without relying on experience and intuition. The purpose is to provide an aquaculture production control system that can be easily carried out.

In order to achieve the above object, the aquaculture production management system of the present invention internally aquacultures a plurality of the aquaculture organisms of a single species, and the average value and standard deviation of the sizes of the aquaculture organisms in the aquaculture tank. Register the aquaculture sensor to be measured, the environment sensor to measure the environment in the aquaculture tank, the environment control device to adjust the environment in the aquaculture tank, the feeding device to feed the aquaculture organism, and the quality information of the aquaculture organism. The quality information registration unit, the aquaculture data storage unit that stores the measurement information of the aquaculture organism sensor and the environmental sensor, and the feeding information of the feeding device in time series as the aquaculture execution data, and the aquaculture implementation data. The aquaculture data management unit that calculates the period and feeding cost related to aquaculture and adds the quality information to the aquaculture management data, and the standard deviation of the size of the aquaculture correspond to the predetermined conditions. Based on the average value of the size of the aquaculture organism, the quality information related to the aquaculture of the aquaculture organism, the feeding cost and / or the period, which is included in the extracted aquaculture management data. According to the aquaculture model generation unit that generates the aquaculture model having the measurement information of the aquaculture sensor and the environment sensor and the feeding information of the feeding device together with the time information, and the measurement information of the aquaculture model, the aquaculture sensor and the environment sensor. The aquaculture control unit that controls the environment control device and the feeding device, and the aquaculture condition input unit that specifies the aquaculture conditions related to the aquaculture of the aquatic organism are provided, and the aquaculture control unit is the aquaculture that is designated as the aquaculture condition. The aquaculture model suitable for the average value of the size of the organism, the quality information related to the aquaculture of the aquaculture, the feeding cost and / or the period was selected, and the measurement information of the aquaculture sensor and the environment sensor was selected. It is characterized in that the environment control device and the feeding device are controlled so as to be in line with the aquaculture model.

Further, the aquaculture control unit of the present invention calculates the difference between the measurement information of the aquaculture sensor measured at a predetermined time and the measurement information of the aquaculture sensor of the selected aquaculture model. If the calculated difference is out of the predetermined range, it conforms to the average value of the size of the aquaculture specified as the aquaculture condition, the quality information related to the aquaculture of the aquaculture, the feeding cost and / or the period. The aquaculture model is selected again, and the environment control device and the feeding device are controlled so that the measurement information of the aquatic organism sensor and the environment sensor is in line with the selected aquaculture model.

Further, the aquaculture condition according to the reselected aquaculture model of the present invention is characterized by being a previously specified aquaculture condition, a redesignated aquaculture condition, or an automatically modified aquaculture condition.

Further, in the aquaculture model generation unit of the present invention, the average value of the size of the aquaculture organism, the quality information related to the aquaculture of the aquaculture organism, the feeding cost and / or the period included in the extracted aquaculture management data can be obtained. It is characterized by generating the aquaculture model having the measurement information of the aquatic organism sensor and the environment sensor accumulated in the aquaculture management data approximated within a predetermined condition and the range and the feeding information of the feeding device together with the time information. And.

In addition, the aquaculture model generation unit of the present invention includes the aquaculture execution data included in the extracted aquaculture management data, an average value of the size of the aquaculture organism, quality information related to the aquaculture of the aquaculture organism, feeding cost and the like. / Or learning the correlation between periods to generate the aquaculture model having the measurement information of the aquatic organism sensor and the environment sensor and the feeding information of the feeding device together with the time information.

In addition, the aquaculture control unit of the present invention predetermined the average value of the sizes of the aquaculture organisms not designated as the aquaculture conditions, the quality information related to the aquaculture of the aquaculture organisms, the feeding cost and / or the period. It is characterized in that the optimum conditions are used as the aquaculture conditions based on predetermined conditions.

Further, the aquatic organism production management system of the present invention further includes a control information input unit, and the culture control unit 23 can artificially control the environmental control device and the feeding device, and the artificially said. The characteristic is that the measurement information of the aquatic organism sensor and the environment sensor related to the controlled cultivation of the aquatic organism and the feeding information of the feeding device are also accumulated in the culture data storage unit in time series as the culture execution data. do.

Further, the predetermined condition relating to the standard deviation of the size of the aquatic organism of the present invention is characterized in that the standard deviation is smaller than a predetermined constant value.

Further, the quality information of the present invention is characterized by being information on the appearance, taste result, meat quality, fat amount and / or composition of the aquatic organism.

In addition, the aquatic plant production management system of the present invention has a plurality of the aquatic tanks for cultivating a plurality of the aquatic plants composed of a single species inside, and the aquaculture implementation data relating to the cultivation of the aquatic plants in the plurality of aquatic tanks. Is collectively accumulated in the aquaculture data storage unit, and the accumulated aquaculture implementation data is managed for each aquaculture of the same species.

Further, the aquatic organism sensor of the present invention is an imaging device, and is characterized by measuring the total length, body length and / or body height of the aquatic organism.

Further, the aquaculture control unit of the present invention is characterized in that it controls the type of food, the timing of feeding, the amount of feeding, the remaining amount of food, and / or the location of feeding in the aquarium in the feeding device.

According to the aquaculture production management system of the present invention, environmental data such as illuminance and water quality in the aquaculture tank, feeding information such as the amount of aquaculture to be fed, and aquaculture data such as the size of aquatic organisms are stored in a database. By automatically controlling various equipment related to aquaculture based on the data obtained by analyzing and learning the enormous amount of accumulated data, multiple aquatic organisms consisting of a single species can be cultivated in one aquaculture tank. In land-based aquaculture, it is possible to produce uniform and high-quality aquatic organisms with good feeding efficiency (Cost) and in a short period (Delivery), and continuously improve the QCD of land-based aquaculture. It is possible to stably and easily manage the production of aquatic organisms.

Further, according to the present invention, fish resources and the like can be eliminated by enabling aquaculture even if an experienced person who has experience and intuition in the field of aquaculture on land is not resident. It is possible to realize a stable supply of aquaculture organisms, and aquaculture conditions can be selected from the aquaculture models obtained by analyzing and learning a large amount of aquaculture performance data (big data) under various conditions. The system can select the most suitable aquaculture model just by specifying it, and automatically control various equipment related to aquaculture according to the aquaculture model.

That is, according to the present invention, the aquaculture control unit selects a aquaculture model suitable for the average value of the size of aquaculture organisms designated as aquaculture conditions, quality information on aquaculture aquaculture, feeding cost and / or period. However, by controlling the aquaculture device and the feeding device so that the measurement information of the aquaculture organism sensor and the environment sensor is in line with the selected aquaculture model, it is possible to optimally control the aquaculture environment and the feeding method.

The present invention also relates to the average value of the size of each aquaculture organism and the aquaculture of aquaculture organisms when generating aquaculture models from various types of aquaculture organisms and actual aquaculture data (big data) in the environment. The quality information, feeding cost and / or aquaculture management data when the period is realized are used as the aquaculture model for realizing each, and the aquaculture sensor for each hour spans the entire period from the start to the end of the aquaculture. In aquaculture, where the environment such as the illuminance and water quality in the aquaculture tank and the amount of aquaculture can be completely controlled by having the measurement information of the environmental sensor and the feeding information of the feeding device, the aquaculture environment similar to the past results can be obtained. It can be reproduced.

Further, according to the present invention, when aquaculture models are generated from various types of aquaculture, actual data (big data) of aquaculture in an environment, the average value of the size of each aquaculture, aquaculture of aquaculture. The optimum aquaculture model is derived by iteratively learning the aquaculture management data when the quality information, feeding cost and / or period are realized, and finding the patterns and regularities hidden in the aquaculture management data. Furthermore, it is possible to optimally control the aquaculture environment and feeding method.

Further, according to the present invention, when the aquaculture model is generated, only the aquaculture management data in which the standard deviation of the size of the aquatic organism corresponds to the predetermined condition is analyzed and learned, so that the aquaculture management data corresponding to the condition is used. By culturing according to the aquaculture model generated based on the above, there is no variation in the average value of the size of aquaculture organisms, and it becomes possible to systematically cultivate aquaculture organisms of uniform size.

Further, according to the present invention, the aquaculture control unit calculates and calculates the difference between the measurement information of the aquaculture sensor measured at a predetermined time and the measurement information of the aquaculture sensor of the selected aquaculture model. If the difference is out of the specified range, the average value of the size of the aquaculture specified as the aquaculture condition, the quality information on the aquaculture, the feeding cost and / or the aquaculture model suitable for the period is renewed. By controlling the aquaculture device and the feeding device so that the measurement information of the aquaculture sensor and the aquaculture sensor will be in line with the selected aquaculture model again, it will be completely different from the aquaculture model due to individual differences and generational differences of aquaculture organisms. Considering that it is not possible to obtain the same result in aquaculture, the difference between the aquaculture model generated for this and the actual aquaculture is corrected, and the aquaculture environment and feeding method suitable for each aquaculture are optimized. It becomes possible to control.

Further, according to the present invention, a control information input unit is further provided, and the environmental control device and the feeding device can be artificially controlled, and the aquaculture sensor and the environmental sensor related to the artificially controlled aquaculture. Since the measurement information of the above and the feeding information of the feeding device are also accumulated as aquaculture execution data in time series, it is possible to intentionally change the aquaculture conditions and perform various patterns of aquaculture, and various aquaculture implementation data and aquaculture implementation data and It becomes possible to obtain aquaculture management data including this, and it is possible to increase past aquaculture implementation data and aquaculture management data including this, and to increase variations of automatic control that controls in the same manner as past aquaculture implementation data. , It is possible to create a more optimal aquaculture model as a learning target of the aquaculture model generation unit and control based on this.

Further, according to the present invention, since the data accumulated in the aquaculture data storage unit includes data related to aquaculture in another aquaculture tank other than one aquaculture tank, actual data of aquaculture in various places and environments. It will be possible to analyze and learn (big data) to generate aquaculture models, and even when conducting aquaculture in new locations and environments, select the optimal aquaculture model and continue QCD for aquaculture on land. It is possible to stably and easily manage the production of aquaculture while improving the quality.

It is a functional block diagram which concerns on embodiment of the aquatic organism production control system of this invention. It is a figure which shows an example of the structure around the aquarium in the aquaculture facility of FIG. It is a figure which shows an example of how to grasp the size of aquatic organisms in the aquatic organism production control system of this invention. It is a figure which shows the way of grasping the standard deviation of the size of aquatic organisms in the aquatic organism production control system of this invention, (a) shows the case where the standard deviation is large, (b) shows the case where the standard deviation is small. It is a figure which shows an example of aquaculture execution data in the aquatic organism production control system of this invention. It is a figure which shows an example of the aquaculture management data in the aquatic organism production management system of this invention. It is a figure which shows an example of the aquaculture model in the aquatic organism production control system of this invention. It is a figure which shows an example of the culture result model data in the aquatic organism production control system of this invention. It is the whole flowchart of the aquatic organism production control system of this invention. It is a detailed flowchart of aquaculture control of the aquatic organism production control system of this invention.

Hereinafter, embodiments for implementing the aquatic organism production control system according to the present invention will be described with reference to the drawings. The aquatic organism production management system of the present invention is used for land-based aquaculture of aquatic organisms, such as environmental data such as illuminance and water quality in the aquatic tank, feeding information such as the amount of feed to the aquatic organisms, and aquatic organisms such as the size of the aquatic organisms. By accumulating data etc. in a database and analyzing and learning the enormous amount of accumulated data, it is possible to produce aquatic organisms of uniform size and quality with good feeding efficiency and in a desired period. It makes it possible to carry out production control in a stable and easy manner.

[Overview of aquatic organism production control system]
An outline of the aquatic organism production control system according to the embodiment of the present invention will be described with reference to FIG. FIG. 1 is a functional block diagram according to an embodiment of the aquatic organism production control system of the present invention.

As shown in FIG. 1, in aquaculture aquaculture on land, the aquaculture production management system 1 includes environmental data such as illuminance and water quality in the aquaculture tank, feeding information such as the amount of feed to aquatic organisms, and the size of aquatic organisms. By accumulating aquaculture data and the like in the aquaculture data storage unit and repeatedly analyzing and learning the enormous amount of accumulated data, an optimal aquaculture model is generated and land-based aquaculture is controlled. The aquaculture facility 10, the aquaculture management device 20, and the input terminal device 30 are connected to each other so as to be able to communicate with each other.

The aquaculture facility 10 is a farm where aquaculture is actually performed on land, and is provided at an arbitrary location in consideration of the ease of securing clean water, distribution, facility construction cost, running cost, etc., indoors or outdoors. A water tank 11 is provided in the water tank 11, and an aquaculture sensor 12, an environment sensor 15, an environment control device 16 and a feeding device 17 are arranged in the water tank 11.

As shown in FIG. 1, the aquaculture facility 10 has the aquaculture facility No. 1. Aquaculture facility No. Multiple aquaculture organisms (different types, strains, varieties) can be cultivated in different locations, such as N, and in different aquaculture facilities and in each aquarium. It is also possible.

The aquaculture management device 20 is configured by mounting software on a computer, includes aquaculture data management unit 21, aquaculture data storage unit 22, aquaculture control unit 23, and aquaculture model generation unit 25, and aquaculture production management of the present invention. The entire system can be controlled, and it can be installed in a place such as a control center located in an urban area different from the aquaculture facility 10.

The input terminal device 30 is for performing various inputs to the aquaculture management device 20, and is composed of a computer or the like having an input function accompanied by a display, and includes a quality information registration unit 31, aquaculture condition input unit 32, and control information. When the input unit 33 is provided and is similarly installed in the control center or the like where the aquaculture management device 20 is arranged, or when it is installed in the aquaculture facility 10 which is the site, it does not ask other facilities and the like, and each of them It is also possible to install multiple units, such as installing them in a facility.

Further, the communication network 5 enables communication between the aquaculture facility 10, the aquaculture management device 20, and the input terminal device 30 regardless of whether they are wired or wireless.

[Each component of aquatic organism production control system]
Next, each component of the aquatic organism production control system will be described in detail by adding FIGS. 2 to 8 to FIG. FIG. 2 is a diagram showing an example of the configuration around the aquatic tank 11 in the aquaculture facility 10 of FIG. 1, and FIG. 3 is a diagram showing an example of how to grasp the size of aquatic organisms in the aquatic organism production management system of the present invention. 4A and 4B are diagrams showing how to grasp the standard deviation of the size of aquatic organisms in the aquaculture production management system of the present invention, where (a) is a large standard deviation and (b) is a standard deviation. Shows the case where is small. FIG. 5 is a diagram showing an example of aquaculture implementation data in the aquatic organism production control system of the present invention. FIG. 6 is a diagram showing an example of aquaculture management data in the aquatic organism production management system of the present invention. FIG. 7 is a diagram showing an example of aquaculture model of the aquatic organism production control system of the present invention. FIG. 8 is a diagram showing an example of aquaculture result model data in the aquatic organism production control system of the present invention.

[Each component in aquaculture facility]
First, each component in the aquaculture facility 10 will be described.

-Aquarium The aquarium 11 internally cultivates a plurality of aquatic organisms 2 made of a single species, and stores necessary water according to the aquatic organisms 2 to be cultivated. The aquaculture organism 2 to be cultivated is not limited to fish as shown in FIG. 2, and shellfish and crustaceans can also be cultivated. Further, in the aquatic organism 2 to be cultivated in seawater, the water in the aquarium 11 is adjusted to match the components of seawater.

Further, various methods are assumed, such as the case where the water in the water tank 11 is circulated through a filter to maintain cleanliness, the water of a nearby river, the seawater is drawn in, and the water is flushed as it is.

Further, in the same way that the aquaculture facility 10 can be arranged at a plurality of locations, the aquatic tank 11 may be provided in a plurality of aquaculture facilities 10 in the same aquaculture facility 10 or separately from the aquaculture facility 10 as shown in FIG. It is assumed that a plurality of aquatic organisms will be distributed, and it is possible to cultivate different species of aquatic organisms 2 in each aquarium 11 or to cultivate the same species of aquatic organisms 2.

-Aquatic organism sensor The aquatic organism sensor 12 is configured to be able to measure the average value and standard deviation of the sizes of the aquatic organism 2 in the aquatic tank 11, for example, by simultaneously photographing the aquatic organism 2 from a plurality of different directions. It is an image pickup device such as a stereo camera capable of recording information in the depth direction, and can grasp the total length, body length and / or body height of the aquatic organism 2. It is natural that the total length, body length and / or body height of the aquatic organism 2 may be grasped by using infrared rays, ultrasonic waves, or the like.

Further, the aquatic organism sensor 12 can communicate with the aquaculture management device 20 via the communication network 5, and transmits the measured average value and standard deviation of the sizes of the aquatic organism 2 to the aquaculture management device 20.

In the detection by the aquatic organism sensor 12, the CPU of the computer in the aquatic organism sensor 12 performs such a detection operation and transmission of information based on a predetermined computer program stored in a ROM, RAM, a hard disk, or the like.

Further, by using a higher-definition image pickup device and various sensors in combination, as shown by symbols A to K in FIG. 3, the total length (between AI and I), the body length (between A and F), and the body height Not only (between J and K), but also tail length (between A and H), scaled body length (between AG), head length (between AD), length between body (between DE and E), snout. It is also possible to measure the length (between AB) and the eye diameter (between BC) and collect more information on the aquatic organism 2 being cultivated to realize the optimum culture control.

It is also possible to grasp the number of individuals in the aquarium 11. Similarly, by using a higher-definition image pickup device and various sensors in combination, it is possible to identify individual aquatic organisms 2 and collect more information on aquatic organisms 2 to realize optimal aquaculture control. It is also possible to do.

Further, the aquatic organism sensor 12 can calculate the average value and the standard deviation of the sizes of the aquatic organism 2. To explain the meaning of obtaining the average value and standard deviation of the sizes of aquatic organisms 2 with reference to FIG. 4, the aquatic organism production control system of the present invention has good feeding efficiency for aquatic organisms having uniform size and quality. It is produced in a desired period and supplied to the market, and from the viewpoint of production control, it is very important that the individual sizes of multiple aquatic organisms 2 are uniform and that there is no variation in quality regarding taste and the like. be.

In this case, in FIGS. 4A and 4B, the vertical axis shows the number of aquatic organisms 2 and the horizontal axis shows the size of aquatic organisms 2. The same (a) shows the case where the standard deviation ± σ is large. In this case, only the large (strong) individual is ingesting a large amount of food, and the large individual is small unless it is full. (Weak) individuals cannot feed. In addition, it is expected that a large individual will cannibalize a small individual, which will cause a decrease in the number of individuals. In this case, the yield is poor from the viewpoint of production control, and if there are variations in size and quality among individuals, planned production cannot be performed.

On the other hand, the same (b) shows the case where the standard deviation ± σ is small. In this case, all the aquatic organisms 2 are ingesting the food evenly, and the size of the aquatic organism 2 varies. Since the number of small animals is small, it is difficult for a large individual to co-eat a small individual, and a decrease in the number of individuals is prevented. From the viewpoint of production control, the yield is good, and it is the most efficient state to realize the feeding efficiency with the minimum feeding amount without feeding excess food in the water tank 11. In the aquaculture production control system of the present invention, aquaculture control is performed according to a aquaculture model such that the standard deviation of the size of the aquatic organism 2 falls within a predetermined range.

Further, by not feeding the surplus food in the aquarium 11, the surplus food is less likely to pollute the water quality in the water tank 11 or the excrement of the aquatic organism 2 is increased to pollute the water quality. It also has the effect of reducing the cost of aquaculture as a whole, such as reducing the electricity bill associated with the operation of the environmental control device 16 that regulates water quality and the like.

Further, when it is desired to produce a large amount of aquatic organism 2, a plurality of individual aquatic organisms 2 have a larger average size than that of the same (a) as shown in FIG. 4 (b) and have a uniform size. In order to set 2 (aquatic organism group with a small standard deviation), in the aquatic organism production management system of the present invention, while controlling the standard deviation so as to be within a predetermined range, the cultivation period, the type of feed to be fed, and the feeding By adjusting the timing, the amount of feeding, etc., the average value of the size of the aquatic organism 2 as shown in FIG. 4 (b) is large and the size is uniform, while suppressing the decrease in the number of individuals due to co-eating and the like. Cultivation of aquatic organisms 2 becomes possible.

Regarding the calculation of the average value and standard deviation of the size of the aquatic organism 2, the aquatic organism sensor 12 only performs imaging, and the culture management device 20 side calculates the average value and the standard deviation of the size of the aquatic organism 2. You may go. In that case, it is regarded as the aquatic organism sensor 12 including the calculation function of the average value and the standard deviation of the size of the aquatic organism 2 on the aquaculture management device 20 side.

-Environmental sensor The environment sensor 15 can grasp the environment in the water tank 11, for example, the water temperature, pH value, dissolved oxygen amount, ammonia value, nitric acid value, illuminance, ultraviolet intensity, temperature, and / or It detects humidity and the like, and consists of sensors necessary for this detection. Further, the environment sensor 15 can communicate with the aquaculture management device 20 via the communication network 5, and transmits the measured information in the aquarium 11 to the aquaculture management device 20.

In the detection by the environment sensor 15, the CPU of the computer in the environment sensor performs such a detection operation based on a predetermined computer program stored in a ROM, RAM, a hard disk, or the like.

-Environmental control device The environmental control device 16 makes it possible to control the environment in the water tank 11, for example, water temperature, pH value, dissolved oxygen amount, ammonia value, nitric acid value, illuminance, ultraviolet intensity, temperature, and / or. It regulates humidity and the like, and is composed of the equipment necessary for these adjustments.

For example, the water temperature is adjusted by controlling the increase of the heater or cold water, the pH value is adjusted by controlling the device that drops the sodium hydroxide aqueous solution, and the illuminance is controlled by the light or the like irradiated into the water tank 11. It is done by.

Further, the environment control device 16 can communicate with the aquaculture management device 20 via the communication network 5, and the environment in the aquarium 11 is adjusted at a predetermined timing and at a predetermined interval by a command from the aquaculture control unit 22. I do.

The environment adjustment in the water tank 11 by the environment adjustment device 16 is performed by the CPU of the computer in the environment adjustment device based on a predetermined computer program stored in a ROM, RAM, a hard disk, or the like. be.

-Feeding device The feeding device 17 enables feeding to the aquatic organism 2, and controls, for example, the type of feeding, the timing of feeding, the amount of feeding and / or the place of feeding in the aquarium. It is a device that enables feeding.

Further, the feeding device 17 can communicate with the aquaculture management device 20 via the communication network 5, and feeds at a predetermined timing and at a predetermined interval according to a command from the aquaculture control unit 23.

In the feeding by the feeding device 17, the CPU of the computer in the feeding device 17 performs such feeding based on a predetermined computer program stored in a ROM, RAM, a hard disk, or the like.

When the aquatic organism 2 is cultivated in the aquatic tank 11, the information measured by the aquatic organism sensor 12 and the environment sensor 15 is used as the measurement information for each cultivation, and the type and amount of the fed food of the feeding device 17 and the like. Information is linked to each other as feeding information, and is stored in the culture data storage unit 22 as culture execution data.

-Aquaculture implementation data As shown in FIG. 5, the aquaculture implementation data consists of feeding information, environmental data and aquatic organism data constituting the measurement information.

The feeding information is associated with environmental data and aquatic organism data by assigning a farming execution ID for each farming, and the type and amount of feeding are recorded for each feeding time. When the feeding place in the water tank 11 is also controlled, the feeding place is also recorded, and other information on feeding can be recorded as appropriate.

The environmental data is linked to the feeding information and aquatic organism data by assigning a farming execution ID for each farming, and the water temperature, pH value, dissolved oxygen amount, ammonia value, nitric acid value, illuminance, and ultraviolet intensity at the measurement time. Etc. are recorded. In addition, it is possible to record information about the environment in the water tank 11 as appropriate.

The aquatic organism data is associated with the feeding information and environmental data by assigning a culture execution ID for each culture, and the standard deviation, average length, and average height of the size of the aquatic organism 2 at the measurement time. And / or the number of individuals etc. are recorded. In addition, it is possible to record information on the weight of the aquatic organism 2 as appropriate.

[Each component in the input terminal device]
Next, each component in the input terminal device 30 will be described.

-Quality information registration unit The quality information registration unit 31 can register the quality information of the aquatic organism 2 obtained as a result of aquaculture, and the appearance, taste result, meat quality, fat amount and / or composition of the aquatic organism 2 can be registered. It is possible to register quality information related to such things.

In addition, when the quality information registration unit 31 automatically evaluates the appearance, meat quality, fat amount and / or composition using a measuring device (not shown) capable of confirming the measurement result corresponding to the human taste result. Can also automatically register quality information with this measuring device.

-Aquaculture condition input unit Next, in the aquaculture condition input unit 32, when culturing the aquatic organism 2, the administrator sets how the aquatic organism 2 wants to be cultivated and what kind of aquatic organism 2 the aquatic organism 2 wants to cultivate. It is possible to specify the aquaculture conditions necessary for production control, such as the desired quality of the aquatic organism 2, the average value of the size, the period of aquaculture and / or the cost of feeding. Further, the type of aquaculture organism 2 to be cultivated is specified as a premise for inputting the aquaculture conditions, and it is also possible to input a line or a variety in combination with the type.

-Control information input unit The control information input unit 33 can change a part or all of the control of the culture control unit 23, and the culture control unit 23 usually has an aquatic organism sensor 12 and an environmental sensor 15. The measurement information of the above controls the environment control device 16 and the feeding device 17 so as to be in line with the culture model selected from the culture conditions. For example, what kind of measurement value the measurement information of the environment sensor 15 should be, feeding. Based on this designation, the control information input unit 33 specifies the type of feed to be fed by the device 17, the timing of feeding, the amount of feeding and / or the location of feeding in the water tank, and the like. The culture control unit 23 can control the control.

Further, for example, the environment control device 16 is controlled so as to follow the selected aquaculture model, and only the feeding device 17 is fed based on the conditions input from the control information input unit 33, and the type of feed, the timing of feeding, and the amount of feeding. And / or it is also possible to control the feeding location and the like in the aquarium, and vice versa, while controlling the feeding device 17 so as to follow the selected aquaculture model, only the environment control device 16 inputs control information. It is also possible to control based on the conditions input from the unit 33. At this time, it is of course possible to artificially change only the illuminance controlled by the environmental control device 17 and to follow the aquaculture model for the others.

[Each component in aquaculture management equipment]
Next, each component in the aquaculture management device 20 will be described.

-Aquaculture data management unit The aquaculture data management unit 21 calculates the period of aquaculture 2 and / or the cost of feeding from the aquaculture implementation data accumulated in the aquaculture data storage unit 22. That is, the aquaculture data management unit 21 calculates the period related to the aquaculture of the aquatic organism 2 by using the time information included in the aquaculture implementation data. In addition, the total cost related to the fed food is calculated from the operation information of the feeding device 17, the cost related to the feeding required for the growth of the aquatic organism 2 (feeding cost) is calculated, and the cost is registered in the quality information registration unit. The quality information provided is added to form the culture management data.

-Aquaculture data storage unit The aquaculture data storage unit 22 links the measurement information of the aquaculture organism sensor 12 and the environment sensor 15 with the feeding information of the feeding device 17 for each aquaculture of the aquaculture organism 2, and uses it as aquaculture implementation data. It is stored in the series together with the time information.

Further, the aquaculture data storage unit 22 sets the period and / or the feeding cost of the aquaculture 2 calculated by the aquaculture data management unit 21 from the aquaculture implementation data to the quality of the aquaculture 2 for each aquaculture. It is possible to store aquaculture implementation data as aquaculture management data together with information.

It is also possible for the aquaculture data management unit 21 to calculate the aquaculture management data each time when the aquaculture model is generated, without storing the aquaculture management data in the aquaculture data storage unit 22. In that case, the aquaculture implementation data and the quality information are linked and stored in the aquaculture data storage unit 22.

-Aquaculture management data As shown in Fig. 6, in the aquaculture management data, aquaculture execution ID is assigned to each aquaculture, and the aquaculture tank is specified in each aquaculture, the aquatic organism 2 is specified (type, line, variety, etc.). Production quantity (initial quantity, final quantity, etc.), production size (standard deviation as final result, average length, average height, average weight, etc.), production control (period, total cost, quality, etc.) are recorded. .. These aquaculture management data are calculated based on the aquaculture implementation data and quality information in the aquaculture. In addition, information on aquaculture production control and the like can be recorded in the aquaculture management data as appropriate.

・ Aquaculture control unit 23
The aquaculture control unit 23 controls the aquaculture model generated by the aquaculture model generation unit 25, which will be described later, and the environment control device 16 and the feeding device 17 according to the measurement information of the aquatic organism sensor 12 and the environment sensor 15.

That is, the aquaculture control unit 23 conforms to the average value of the size of the aquatic organism 2 designated as the aquaculture condition via the aquaculture condition input unit 32, the quality information related to the aquaculture of the aquatic organism 2, the feeding cost and / or the period. An aquaculture model is selected, and the environment control device 16 and the feeding device 17 are controlled so that the measurement information of the aquatic organism sensor 12 and the environment sensor 15 is in line with the selected aquaculture model.

In this case, the aquaculture control unit 23 controls the environment control device 16 and the feeding device 17 so as to be in accordance with the measurement information related to the selected aquaculture model, that is, the measurement information of the aquatic organism sensor 12 and the environment sensor 15 possessed by the aquaculture model.

・ Aquaculture model generation unit 25
The aquaculture model generation unit 25 extracts only the aquaculture management data in which the standard deviation of the size of the aquaculture organism 2 corresponds to a predetermined condition from the aquaculture management data, and the aquaculture organisms included in the extracted aquaculture management data. Based on the average value of the size of 2, the quality information related to the aquaculture of the aquatic organism 2, the feeding cost and / or the period, the measurement information of the aquatic organism sensor 12 and the environment sensor 15 and the feeding information of the feeding device 17 together with the time information. Generate aquaculture model to have.

[Generation of aquaculture model by aquaculture model generation unit 25]
The aquaculture model will be described in detail. As shown in FIG. 7, the culture model has measurement information of the aquatic organism sensor 12 and the environment sensor 15 of the culture and feeding information of the feeding device 17 together with time information (information on the timing of measurement and feeding), and has a past. A model example of the culture management data in which the standard deviation of the size of the aquatic organism 2 corresponds to a predetermined condition (for example, the standard deviation is smaller than a predetermined value) can be used as a future model. The data consists of feeding model data (feeding information of the culture model), environmental model data and aquatic organism model data constituting the measurement model information (measurement information of the culture model).

The feeding model data is assigned a farming model ID for each farming model and is associated with the environmental model data and the aquaculture model data, and the scheduled feeding time (calculated from the farming start time based on the time information). The type and amount of food are determined for each. When the feeding place in the water tank 11 is also controlled, the feeding place is also determined, and other information regarding feeding can be specified as appropriate.

The environmental model data is associated with the feeding model data and the aquaculture model data by assigning the aquaculture model ID to each aquaculture model, and the scheduled measurement time (calculated from the aquaculture start time based on the time information). The target water temperature, pH value, dissolved oxygen amount, ammonia value, nitrate value, illuminance, ultraviolet intensity, temperature, and / or humidity and the like are defined. In addition, it is possible to determine information about the environment in the water tank 11 as appropriate.

The aquaculture model data is assigned a aquaculture model ID for each aquaculture model and is associated with the feeding model data and the environmental model data, and the scheduled measurement time (calculated from the aquaculture start time based on the time information). The standard deviation of the size of the aquaculture organism 2 in the above, the average length, the average height and / or the number of individuals, etc. are determined. In addition, it is possible to determine information on the size of the aquatic organism 2 as appropriate.

The aquaculture model generation unit 25 targets only the aquaculture management data in which the standard deviation of the size of the aquatic organism 2 corresponds to a predetermined condition (for example, the standard deviation is smaller than a predetermined value). By managing the management data including the average size of aquaculture 2 and the quality information of aquaculture 2, the period of growth and feeding cost, etc., a label showing the characteristics of each aquaculture model is attached. Has been done. For example, a high-quality aquaculture model, a short-term aquaculture model, a low-feeding aquaculture model, and the like.

Further, in the aquaculture model generated by the aquaculture model generation unit 25, the aquaculture management in which the standard deviation of the size of the aquatic organism 2 corresponds to a predetermined condition (for example, when the standard deviation is smaller than a predetermined constant value). Since it is generated only for the data, by controlling the aquaculture according to this aquaculture model, the aquaculture is controlled so that the standard deviation is within a predetermined condition.

Further, for the aquaculture model generated by the aquaculture model generation unit 25, when the past aquaculture management data is used as the aquaculture model as it is, each of the past aquaculture management data becomes the assumed aquaculture result as it is.

On the other hand, in the case of generating aquaculture model by learning past aquaculture management data by machine learning or the like, the aquaculture result model data shown in FIG. 8 is generated by the aquaculture model generation unit 25 as the target aquaculture result. It is associated with each aquaculture model.

As shown in FIG. 8, in the aquaculture result model data, a aquaculture model ID is assigned to each aquaculture model, and the aquaculture organism 2 is specified (type, line, variety, etc.) in each aquaculture model, and the production quantity model (initial quantity). , Final quantity, etc.), production size model (standard deviation, average length, average height, average weight, etc.), production control model (period, total cost, quality, etc.) are targeted by the aquaculture model generation unit 25. It is generated and recorded as a result. In addition, it is possible to record other special notes such as matters to be noted in aquaculture. These aquaculture result model data are generated based on a huge amount of past aquaculture management data.

-Specific generation method of aquaculture model Here, a specific generation method of aquaculture model will be described. Regarding the generation of aquaculture model, it is assumed that the past aquaculture management data is used as it is as the aquaculture model, and the past aquaculture management data is learned by machine learning or the like to generate the aquaculture model. Further, it is possible to adopt both of them and use the one most suitable for the aquaculture conditions, and the method of generating the aquaculture model is not limited.

-When the past aquaculture management data is used as it is as the aquaculture model Regarding the generation of the aquaculture model, first, the case where the past aquaculture management data is used as it is as the aquaculture model will be described. That is, the average size of the aquatic organism 2 is obtained from the culture management data in which the standard deviation of the size of the aquatic organism 2 corresponds to a predetermined condition (for example, the standard deviation is smaller than a predetermined constant value). The culture management data with the predetermined value and the lowest feeding cost is searched, and the average value of the desired aquatic organism 2 size is used as the culture model with the lowest feeding cost when cultivating, and the culture management data. Feeding model data (feeding information) and measurement model in which the past measurement information of the aquatic organism sensor 12 and the environmental sensor 15 and the feeding information of the feeding device 17 held in time series are replaced with the time series from the start of cultivation. It can be the environment model data that composes the information.

Next, regarding the generation of the aquaculture model, a case where the past aquaculture management data is learned by machine learning or the like to generate the aquaculture model will be described. That is, the average size of the aquatic organism 2 is obtained from the culture management data in which the standard deviation of the size of the aquatic organism 2 corresponds to a predetermined condition (for example, the standard deviation is smaller than a predetermined constant value). A plurality of culture management data having a predetermined value and a low feeding cost are searched, and measurement information and feeding of the aquatic organism sensor 12 and the environmental sensor 15 possessed by the plurality of culture management data having a low feeding cost. By analyzing and learning the correlation and commonalities of the feeding information of the device 17, it is possible to obtain the feeding model data replaced with the time series from the start of cultivation and the environmental model data constituting the measurement model information. ..

The learning algorithm used by the aquaculture model generation unit 25 is not limited to learning by machine learning or the like, and any learning algorithm may be used. The aquaculture model generation unit 25 extracts useful regularity, knowledge representation, judgment criteria, etc. in the set of data accumulated in the aquaculture data storage unit 22 by analysis, outputs the judgment result, and outputs the knowledge. It has a function to learn. There are various methods, but for example, "supervised learning" and "reinforcement learning" are used.

For example, the aquaculture model generation unit 25 is at a stage where the data accumulation in the aquaculture data storage unit 22 is not sufficient, the learning is insufficient, and a satisfactory aquaculture model cannot be output yet, that is, the aquaculture control based on the past aquaculture management data. At the stage (initial learning operation) where only aquaculture control based on past aquaculture management data can be selected), "supervised learning" is used.

That is, by managing a large amount of aquaculture management data such as aquaculture management period and / or feeding cost and quality information such as taste results, aquaculture management with good quality, short delivery time, and low cost The data becomes "teacher data" in "learning with supervision", and the aquaculture model generation unit 25 uses the "teacher data" as a model to obtain correlations such as patterns and regularity from the aquaculture management data obtained with good results such as quality. Derive and generate aquaculture model.

On the other hand, the learning of the aquaculture model generation unit 25 progresses, and it becomes possible to output a satisfactory aquaculture model. It is possible to further optimize aquaculture control.

In order to realize these "supervised learning" and "reinforcement learning", it is also possible to use "deep learning" to learn the extraction of the feature amount itself.

[Aquaculture by artificial control]
When the environment control device 16 and the feeding device 17 are artificially controlled through the culture control unit 23 based on the contents input from the control information input unit 33 artificially, the same as the control based on the normal culture model. As the culture execution data, the measurement information of the aquatic organism sensor 12 and the environment sensor 15 and the feeding information of the feeding device 17 are accumulated in the culture data storage unit 22.

For example, normal aquatic organisms such as an environment where night does not exist for aquatic organisms 2, abrupt changes in water temperature in a short period of time, constant feeding, or no feeding for a certain period of time by constantly illuminating the inside of the water tank 11. Cases have been reported in which the growth of aquatic organisms 2 is further promoted in situations where the living environment of 2 is not possible.

By artificially testing such an unusual situation, new knowledge and experience regarding the cultivation of aquatic organism 2 can be obtained, and it becomes possible to intentionally change the aquaculture conditions to perform various patterns of aquaculture. By increasing the aquaculture management data, etc. for which good results could be obtained from the viewpoint of production management, and making it the learning target of the aquaculture model generation unit, it is possible to generate a new aquaculture model that is not bound by conventional knowledge. Optimal control based on this is possible.

[Modification of aquaculture control by re-searching aquaculture model]
The aquaculture control unit 23 has a size and standard of the current aquatic organism 2 obtained from the aquatic organism sensor 12 at a predetermined time such as during aquaculture, or at predetermined intervals such as every one week and one month. The difference between the deviation and the size and standard deviation of the aquatic organism 2 that should be at the present time obtained from the aquaculture model is calculated, and if the difference is out of the predetermined range, the aquaculture model is searched again.

This is because even if the environment in the aquarium 11 and the feeding to the aquatic organism 2 can be reproduced exactly the same based on the past aquaculture implementation data, the past due to individual differences and generational differences of the aquatic organism 2 etc. The same growth is not guaranteed for the aquaculture implementation data, and it is possible to control the production of organisms by reviewing the optimal aquaculture model at a predetermined time.

In this way, the aquaculture control unit 23 calculates the difference between the measurement information of the aquaculture sensor 12 measured at a predetermined time as described above and the measurement information of the aquaculture sensor 12 of the already selected aquaculture model. If this calculated difference is out of the specified range, it conforms to the average size of the aquaculture 2 specified as the aquaculture condition, the quality information related to the aquaculture 2, the feeding cost and / or the period. The aquaculture model to be used is selected again, and the environment control device 16 and the feeding device 17 are controlled so that the measurement information of the aquatic organism sensor 12 and the environment sensor 15 is in line with the selected aquaculture model again.

As for the aquaculture conditions related to the aquaculture model to be selected again, the aquaculture conditions may be input again from the aquaculture condition input unit 32 in consideration of the growth state of the aquatic organism 2 at a predetermined time. In addition, the aquaculture conditions may be automatically and appropriately modified according to predetermined conditions. For example, prioritize the realization of the average size of the aquatic organism 2, prioritize the realization of the feeding cost related to the aquaculture of the aquatic organism 2, prioritize the realization of the period related to the aquaculture of the aquatic organism 2, and also. A farming model that meets the conditions that should be prioritized and realized, such as a combination of these, is automatically selected.

By reviewing the aquaculture model at a predetermined time in this way, it becomes possible to optimally control the aquaculture environment and feeding method while correcting the course of production control in the production of aquatic organisms.

[Processing flow in aquatic organism production control system]
Next, the flow of processing in the embodiment of the aquatic organism production control system 1 of the present invention will be described with reference to FIGS. 1 to 8 and FIGS. 9 to 10. FIG. 9 is an overall flowchart of the aquatic organism production control system of the present invention, and FIG. 10 is a detailed flowchart of the culture control of the aquatic organism production control system of the present invention.

First, the entire flow of the aquatic organism production control system 1 will be described with reference to FIGS. 9 and 10.

The manager of the aquaculture production control system 1 first specifies the type and / or line and / or variety of the aquaculture organism 2 to be cultivated as a major premise via the aquaculture condition input unit 32 (S1).

Next, similarly, the aquaculture conditions for aquaculture are designated via the aquaculture condition input unit 32 (S2). That is, in culturing the aquaculture organism 2, a culturing condition consisting of a desired quality of the aquaculture organism 2, an average value of the size, a period of culturing and / or a cost of feeding is specified (S2).

That is, the aquaculture conditions are influenced by the needs of the market at that time while also checking the market trends. For example, the following various aquaculture conditions can be set.

A. Quality: Maximum cost: High Delivery time: Medium
(Case of producing good quality fish using expensive and good food)
B. Quality: Medium Cost: Medium Delivery: Medium
(The most balanced case)
C. Quality: High Cost: High Delivery time: Short
(A case where a short delivery time is realized by using expensive food that promotes growth)
D. Quality: Medium Cost: Low Delivery time: Long
(It takes a long time to deliver, but it is a case where medium quality fish can be produced)
E. Quality: Low Cost: Low Delivery time: Short
(Case where quality is reduced, but short delivery time and low cost are realized)

The above five patterns A to E are shown as "highest, high, long, medium, low, short" to explain the concept, but there are various types such as% display and designation using specific numerical values. The setting method is assumed, and the aquaculture model is also labeled in advance according to the aquaculture conditions.

Regarding the generation of aquaculture models, when the past aquaculture management data is used as the aquaculture model as it is, each past aquaculture management data is preliminarily labeled according to the aquaculture conditions, and the past aquaculture management data is used as a machine. When aquaculture model is generated by learning by learning or the like, the aquaculture result model data shown in FIG. 8 is created in advance as an assumed aquaculture result, and the aquaculture result model data is labeled with the characteristics of the aquaculture. Has been done.

Next, a farming model is selected based on the designated farming conditions (S3). That is, based on the aquaculture conditions of the aquaculture designated via the aquaculture condition input unit 32, the aquaculture control unit 23 conforms to the size of the aquatic organism 2, the period related to the aquaculture of the aquatic organism, and / or the feeding cost. Select a model (S3).

Next, the environment control device 16 and the feeding device 17 are controlled according to the feeding model data constituting the operation model information of the selected aquaculture model and the environment model data constituting the measurement model information (S4). As described above, the aquaculture model may be either a case where the past aquaculture management data is used as it is, or a aquaculture model generated by learning the past aquaculture management data by machine learning or the like. It is also possible to adopt both of them and use the one that best suits the aquaculture conditions.

The details of the control by adding the aquatic organism sensor 12 and the environment sensor 15 to the environment control device 16 and the feeding device 17 will be described later. Further, the aquaculture execution data cultivated according to this aquaculture model is accumulated in the aquaculture data storage unit 22 (S4).

The previous designation of aquaculture conditions (S1 and S2), selection of aquaculture model (S3) and control based on it (S4) are performed at the start of aquaculture such as the egg stage and fry stage of aquatic organism 2. It can be carried out at a predetermined time such as any time during aquaculture.

When the aquaculture control is completed, the aquaculture data management unit 21 calculates the period and / or the feeding cost of the aquatic organism 2 (S5). Further, quality information such as the taste result of the aquatic organism 2 is registered via the quality information registration unit 31 (S6).

As a result, the period and / or feeding cost related to the cultivation of the aquatic organism 2 calculated by the aquaculture data management unit 21 is accumulated in the aquaculture data storage unit 22 as aquaculture management data together with the quality information of the aquatic organism 2 for each aquaculture. Then (S7), a series of flows ends. It is also possible to omit S7 and store only the aquaculture execution data in the aquaculture data storage unit 22 as in S4, and create the aquaculture management data each time the aquaculture model is generated.

The details of the control in which the environment sensor 15 is added to the environment control device 16 and the feeding device 17 will be described with reference to FIG. The environment control device 16 and the feeding device 17 are controlled by the feeding model data constituting the operation model information (operation information) of the selected culture model and the environment model data constituting the measurement model information (measurement information), and further aquatic organisms. The measurement information is acquired by the sensor 12 and the environment sensor 15, and is stored in the culture data storage unit 22 as the culture execution data in association with the operation information of the feeding device 17 (S4 in FIG. 9).

That is, when the aquaculture control is started (loop start), the aquaculture control unit 23 individually controls the environment sensor 15, the environment control device 16, the feeding device 17, and the aquaculture sensor 12 so as to be in line with the aquaculture model. I do.

The environment sensor 15 grasps the environment in the water tank 11 at a predetermined interval or timing. For example, the above-mentioned water temperature, pH value, dissolved oxygen amount, ammonia value, nitrate value, illuminance, ultraviolet intensity, temperature, and / or humidity in the water tank 11 are detected and acquired as environmental data as measurement information (S11). , Environmental data is stored in the aquaculture data storage unit 22 as aquaculture implementation data (S12).

In this case, the aquaculture control unit 23 determines whether or not the environmental data, which is the measurement information, is different from the environmental model data of the searched aquaculture model as the target value (S13), and if there is a difference, the environmental control device 16 is used. It is adjusted and the environment in the water tank 11 is controlled so as to be in line with the environmental model data (S14).

If there is no difference from the environmental model data of the aquaculture model in S13, S14 is skipped and the environmental adjustment by the environmental adjustment device 16 is not performed. This process from S11 to S14 is repeated until the aquaculture of the aquatic organism is completed.

It should be noted that various determination methods can be used for the determination in the aquaculture control unit 23 as to whether or not the environmental data, which is the measurement information in S13, is different from the environmental model data. , Can be set as appropriate.

The feeding device 17 feeds the aquatic organism 2 in the aquarium 11 at a predetermined interval or timing based on the command of the aquaculture control unit 23 (S21). Based on the command from the aquaculture control unit 23, the feeding device 17 controls and feeds, for example, the type of feeding, the timing of feeding, the amount of feeding and / or the location of feeding in the aquarium (S21).

Then, for example, the above-mentioned feeding information such as the type of feeding, the timing of feeding, the amount of feeding, the remaining amount of feeding in the feeding device and / or the feeding place in the aquarium 11 is included in the aquaculture execution data as operation information. It is stored in the aquaculture data storage unit 22 (S22). Then, the treatments of S21 and S22 are repeated until the aquaculture of the aquatic organism 2 is completed.

The aquatic organism sensor 12 detects the size, number of individuals, etc. of the aquatic organism 2 in the aquatic tank 11 at a predetermined interval or timing (S31), and calculates the average value and standard deviation of the size of the aquatic organism 2 (S31). S32), the mean value and standard deviation of the size of the aquatic organism 2, and the number of individuals are included in the culture implementation data as aquatic organism data as measurement information and stored in the culture data storage unit 22 (S33).

In this case, the aquaculture control unit 23 determines whether or not the aquaculture data, which is the measurement information, has reached the aquaculture model data (size and standard deviation of the aquaculture 2) of the searched aquaculture model as the target value (the size and standard deviation of the aquaculture 2). S34) If the difference is out of the predetermined range, the process returns to S2 in FIG. 9 in order to search for the aquaculture model again. At this time, the aquaculture conditions can be reviewed, and in the review, not only the input from the aquaculture condition input unit 32 but also the system may automatically perform the review. It is also possible to search for aquaculture model again by using the previously input aquaculture condition as it is without skipping S2 and inputting a new aquaculture condition.

The aquaculture control unit 23 has aquaculture that matches the average value of the size of the aquatic organism 2 specified as the aquaculture condition or the previously input aquaculture condition, the quality information related to the aquaculture of the aquatic organism 2, the feeding cost and / or the period. The model is selected and read again (S3 in FIG. 9). The environment control device 16 and the feeding device 17 are controlled so as to be in line with the measurement information (measurement model information) of the aquatic organism sensor 12 and the environment sensor 15 of the newly searched and selected culture model, and the figure again. The treatments of 10 and 9 are repeated until the end of cultivation.

If the difference from the target value in S34 is within the predetermined range, the process returns to S31 and the process is repeated until the aquaculture of the aquatic organism 2 is completed.

It is possible to use various determination methods for the determination in the aquaculture control unit 23 whether or not the aquaculture data, which is the measurement information in S34, is different from the aquaculture data of the searched aquaculture model as the target value. For example, the allowable range of error in each item can be appropriately set.

The invention can be embodied in many forms without departing from its essential properties. Therefore, it goes without saying that the above-described embodiments are merely explanatory and do not limit the present invention.

Further, the functional block shown in the functional block diagram of FIG. 1 shows the functional configuration of the aquatic organism production control system 1 of the present invention, and does not limit a specific mounting form. That is, it is not necessary to implement the hardware corresponding to the functional block in the figure, and it is of course possible to configure the configuration to realize the functions of a plurality of functional units by executing a program by one processor. Further, a part of the functions realized by the software in the embodiment may be realized by the hardware, and further, a part of the functions realized by the hardware may be realized by the software.

1 Aquaculture production management system 2 Aquaculture 5 Communication network 10 Aquaculture facility 11 Aquaculture tank 12 Aquaculture sensor 15 Environment sensor 16 Environmental control device 17 Feeding device 20 Aquaculture management device 21 Aquaculture data management unit 22 Aquaculture data storage unit 23 Aquaculture control unit 25 Aquaculture model generation unit 30 Input terminal device 31 Quality information registration unit 32 Aquaculture condition input unit 33 Control information input unit

Claims (12)

It is an aquatic organism production control system that cultivates aquatic organisms.
An aquarium that cultivates multiple aquaculture organisms consisting of a single species inside,
An aquatic organism sensor that measures the average value and standard deviation of the size of the aquatic organism in the aquarium, and
An environment sensor that measures the environment inside the aquarium,
An environment control device that regulates the environment inside the aquarium,
The feeding device that feeds the aquatic organisms,
The quality information registration department that registers the quality information of aquatic organisms,
A culture data storage unit that stores measurement information of the aquatic organism sensor and the environment sensor and feeding information of the feeding device in time series as culture execution data, and
The aquaculture data management unit that calculates the period and feeding cost related to the aquaculture of the aquatic organism from the aquaculture implementation data and adds the quality information to the aquaculture management data.
The standard deviation of the size of the aquatic organism is the average value of the size of the aquaculture organism included in the extracted aquaculture management data obtained by extracting the aquaculture management data corresponding to a predetermined condition, and the aquaculture organism. Based on quality information related to aquaculture, feeding cost and / or period, aquaculture model generation unit that generates aquaculture model having measurement information of the aquatic organism sensor and the environment sensor and feeding information of the feeding device together with time information.
A culture control unit that controls the environment control device and the feeding device according to the measurement information of the culture model, the aquatic organism sensor, and the environment sensor.
It is equipped with an aquaculture condition input unit that specifies the aquaculture conditions related to the aquaculture of the aquatic organism.
The aquaculture control unit selects the aquaculture model suitable for the average value of the size of the aquaculture organism designated as the aquaculture condition, the quality information related to the aquaculture of the aquaculture organism, the feeding cost and / or the period, and the aquaculture. An aquatic organism production management system comprising controlling the environmental control device and the feeding device so that the measurement information of the biological sensor and the environmental sensor is in line with the selected aquaculture model. The aquaculture control unit calculates a difference between the measurement information of the aquaculture sensor measured at a predetermined time and the measurement information of the aquaculture sensor of the selected aquaculture model, and the calculated difference. If is out of the predetermined range, the aquaculture model that matches the average value of the size of the aquaculture specified as the aquaculture condition, the quality information related to the aquaculture of the aquaculture, the feeding cost and / or the period is used. The aquaculture according to claim 1, wherein the aquaculture sensor and the aquaculture device are controlled so that the measurement information of the aquatic organism sensor and the aquaculture sensor is in line with the selected aquaculture model again. Bioproduction management system. The second aspect of claim 2, wherein the aquaculture condition according to the reselected aquaculture model is a previously specified aquaculture condition, a redesignated aquaculture condition, or an automatically modified aquaculture condition. Aquaculture production control system. In the aquaculture model generation unit, the average value of the size of the aquaculture organism, the quality information related to the aquaculture of the aquaculture organism, the feeding cost and / or the period included in the extracted aquaculture management data are set under predetermined conditions and. The first aspect of the aquaculture model is to generate the aquaculture model having the measurement information of the aquatic organism sensor and the environment sensor accumulated in the aquaculture management data approximated within the range and the feeding information of the feeding device together with the time information. The aquaculture production management system described in. The aquaculture model generation unit correlates the aquaculture execution data included in the extracted aquaculture management data, the average value of the size of the aquaculture organism, the quality information related to the aquaculture of the aquaculture organism, the feeding cost and / or the period. The aquaculture production management according to claim 1, wherein the aquaculture model having the measurement information of the aquatic organism sensor and the environment sensor and the feeding information of the feeding device together with the time information is generated by learning the relationship. system. The aquaculture control unit is based on predetermined predetermined conditions regarding the average value of the sizes of the aquatic organisms not designated as the aquaculture conditions, the quality information related to the aquaculture of the aquaculture organisms, the feeding cost and / or the period. The aquatic organism production management system according to claim 1, wherein the optimum conditions are used as the aquaculture conditions. The aquatic organism production management system further includes a control information input unit, and the culture control unit can artificially control the environmental control device and the feeding device, and the artificially controlled aquatic organism. The first aspect of claim 1, wherein the measurement information of the aquatic organism sensor and the environment sensor related to the cultivation of the above and the feeding information of the feeding device are also accumulated in the culture data storage unit in time series as the cultivation execution data. Aquatic organism production management system. The aquatic organism production control system according to claim 1, wherein the predetermined condition relating to the standard deviation of the size of the aquatic organism is such that the standard deviation is smaller than a predetermined constant value. The aquatic organism production control system according to claim 1, wherein the quality information is information on the appearance, taste result, meat quality, fat amount and / or composition of the aquatic organism. The aquatic plant production management system has a plurality of the aquaculture tanks for cultivating a plurality of the aquatic plants consisting of a single species inside, and the aquaculture implementation data relating to the cultivation of the aquatic plants in the plurality of aquatic plants is stored in the aquaculture data. The aquatic organism production management system according to claim 1, wherein the aquaculture implementation data is collectively accumulated in a unit and the accumulated aquaculture implementation data is managed for each aquaculture of the same species. The aquatic organism production management system according to claim 1, wherein the aquatic organism sensor is an imaging device and measures the total length, body length and / or body height of the aquatic organism. The first aspect of the present invention, wherein the aquaculture control unit controls the type of food in the feeding device, the timing of feeding, the amount of feeding, the remaining amount of food, and / or the place of feeding in the aquarium. Aquaculture production control system.

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