JP7511826B2 - Grease trap management device, management method, and management program - Google Patents

Description

The present invention relates to a grease trap management device, management method, and management program.

Patent Document 1 describes how an information collection device at a store (restaurant) that serves food and beverages detects the amount of oil dust accumulated in a grease trap and transmits the information to a server, and the server then transmits maintenance information to the user's smartphone.

JP 2018-152064 A

The system in Patent Document 1 encourages users to clean by sending them maintenance information, but there is a problem in that users do not always clean properly. If the grease trap is not cleaned properly and becomes clogged, water will not be able to drain, so it is necessary to clean the grease trap properly, but frequent cleaning places a large burden on the store, so in some cases only the minimum amount of cleaning is performed to prevent clogging.

In addition, in cases where multiple stores (restaurants) are located in the same facility, such as a food court, if the grease trap at one of the stores becomes clogged and leaks into the shared areas, damage will extend to the other stores, so neglecting cleaning cannot be tolerated even if it is related to other stores. Also, when the store is responsible for cleaning up to the grease trap and the facility is responsible for cleaning the drainage pipes after the grease trap, there have been cases where the store has not properly cleaned the grease trap, but instead used a spray gun or similar to forcibly discharge the oil dust that had accumulated in the grease trap into the downstream drainage pipe, thereby shifting the responsibility for cleaning to the facility. In such cases, a large amount of oil dust that should have been removed by the grease trap flows into the downstream drainage pipe, causing serious damage such as clogging of buried drainage pipes.

In addition, cleaning of grease traps is often done late at night, as it is done outside of store business hours. Furthermore, stores often only request cleaning after the grease trap is about to become clogged, so cleaning companies are suddenly called in to work late at night, which makes work less efficient and leads to improper cleaning, such as cutting corners.

The present invention was made in consideration of the problems with the conventional technology described above, and aims to provide a technology for managing grease traps so that they are properly cleaned.

In order to achieve the above object, a management device of the present invention comprises:
An acquisition unit that acquires pollution level information indicating the degree of dirt related to a grease trap installed in each store;
a transition acquisition unit that acquires transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
and an output control unit that outputs cleaning information regarding the cleaning of the grease trap based on the transition information.

In order to achieve the above object, the management system of the present invention comprises:
The method includes the steps of: providing a store terminal in a store; and providing a management device connected to the store terminal via a network;
the store-side terminal includes a pollution information transmission unit that transmits pollution level information indicating a degree of pollution related to a grease trap installed in the store to the management device,
The management device,
an acquisition unit that acquires the pollution level information from the store-side terminal;
a transition acquisition unit that acquires transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
and an output control unit that outputs cleaning information regarding the cleaning of the grease trap based on the transition information.

The management device includes an estimation unit that estimates a degree of dirt that will progress from a current time point onward for each store based on the transition information;
a scheduling unit that determines a schedule for cleaning the grease traps provided in the first store and the second store together, the scheduling unit determining, among the plurality of stores, a store whose degree of dirt has exceeded a first threshold value as a first store, and a store whose degree of dirt is estimated to exceed a second threshold value at a time when the degree of dirt in the first store is estimated to reach a predetermined upper limit value as a second store,
The output control unit may transmit the cleaning information including the schedule to an information processing device of a cleaning company.
The management device includes:
A turbidity detection unit that detects the turbidity of the wastewater discharged from the grease trap;
The system may also include a cleaning determination unit that detects that cleaning has been performed when the level of dirt has decreased based on the transition information, and determines that unauthorized cleaning has been performed when the turbidity of the wastewater becomes equal to or greater than a third threshold value during the cleaning.
The management device includes:
A turbidity detection unit that detects the turbidity of the wastewater discharged from the grease trap;
a coffee powder detection unit that determines a result detected by the turbidity detection unit when coffee powder is suspended in the drainage water as a preset value, and detects that coffee powder is being discharged when a result of detecting the actual turbidity of the drainage water by the turbidity detection unit matches the preset value;
The present invention may also include:

The management device may include a fee calculation unit that calculates a fee for the cleaning based on the degree of dirt.

In order to achieve the above object, the management method of the present invention comprises:
acquiring pollution level information indicating the degree of pollution of grease traps installed in each store;
acquiring transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
outputting cleaning information regarding the cleaning of the grease trap based on the transition information;
The computer executes the above.

In order to achieve the above object, the management program of the present invention comprises:
acquiring pollution level information indicating the degree of pollution of grease traps installed in each store;
acquiring transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
outputting cleaning information regarding the cleaning of the grease trap based on the transition information;
to be executed by the computer.

The present invention allows for proper management of grease trap cleaning.

FIG. 1 is a schematic configuration diagram of a management system. FIG. 1 is a schematic diagram of a grease trap. FIG. 2 illustrates an example of a sensor. FIG. 2 is a diagram illustrating an example of a turbidity sensor. FIG. 2 is a functional block diagram of a management server. FIG. 13 is a diagram showing an example of a data table in which pollution level information is stored for each store. FIG. 2 illustrates an example of a device configuration of a computer. FIG. 11 is a diagram showing a management method executed by a management server based on a management program. FIG. 13 illustrates a modified example of the management server. FIG. 13 is an explanatory diagram of a management method according to the present modified example.

<System configuration>
An embodiment of the present invention will be described. As shown in Fig. 1, a grease trap management system 1 according to this embodiment has a management server 11 and a store terminal 12. The management server 11 connects to and communicates with the store terminal 12, a user terminal 13, and a cleaning company server 14 via a network N. Note that in this embodiment, the management system 1 does not include the user terminal 13 or the cleaning company server 14, but this is not limiting, and the management system 1 may include the user terminal 13 and the cleaning company server 14.

The store terminal 12 is an information processing device provided in the store 2. The store 2 is a store (restaurant) that serves food and drink. The type of store 2 is not particularly limited, but may be, for example, a ramen shop, steak house, curry shop, bakery, cafe, coffee shop, etc. In this embodiment, multiple stores are provided in the same commercial facility 20, forming a so-called food court. Each store 2 has a kitchen and is equipped with a grease trap 21 for removing oil dust from the kitchen wastewater. The wastewater discharged from the grease trap of each store 2 passes through a drain pipe 29 shared by multiple stores 2 and is led to a main drain pipe (not shown).

The management system 1 of this embodiment manages the grease traps 21 installed in each store. Then, when it is determined that cleaning of the grease traps is necessary based on the degree of dirt in the grease traps of each store 2, a schedule is made for cleaning the grease traps 21 of multiple stores 2 together, and a cleaning company is contacted. By scheduling the cleaning of the grease traps 21 of multiple stores together in this way, the cleaning of the grease traps 21 can be performed efficiently, and unauthorized cleaning can be prevented.
Explanation of components
Fig. 2 is a schematic diagram of the grease trap 21. The grease trap 21 is a grease collector that removes oil from wastewater discharged from a kitchen to meet the wastewater quality standards. As shown in Fig. 2, the grease trap 21 has a basket 211, partition plates 212 to 214, a trap pipe 215, and a sensor 22 in a water tank body 210.

The partition plates 212, 214 are provided partway down from the top of the tank body 210, providing a gap between them and the bottom surface 219 of the tank body 210 to form a drainage flow path. The partition plate 213 is provided upright on the bottom surface 219 of the tank body 210, separating a position lower than the water surface 29A of the drainage 290 that accumulates in the tank body 210, and the space between its top end and the water surface is provided as a drainage flow path.

The grease trap 21 of this embodiment is a three-tank type in which the section separated by the side wall 217 of the water tank body 210 and the partition plate 212 is the first tank 201, the section separated by the partition plate 212 and the partition plate 214 is the second tank 202, and the section separated by the partition plate 214 and the side wall 218 of the water tank body 210 is the third tank 203.

The side wall 217 of the first tank 201 is provided with an inlet 216 through which wastewater from the kitchen flows in, and a basket 211 is disposed below the inlet 216. The side wall of the third tank 203 is provided with a trap pipe 215. The trap pipe 215 has a horizontal pipe 25A that connects to the downstream drain pipe 291, and at the end of the horizontal pipe 25A opposite the side wall 218, a downward pipe 25B is provided that extends downward. The downward pipe 25B has an opening (discharge port) 25C at its lower end and a lid 25D at its upper end.

Wastewater flowing in from the inlet 216 enters the first tank 201 through the basket 211, and as it passes through the basket 211, relatively large solids such as food scraps and toothpicks are filtered out, while fine sediment such as sand and mud is deposited at the bottom of the first tank 201 as sludge.

As the wastewater flows from the first tank 201 to the second tank 202, crosses the partition plate 213, and then passes between the bottom end of the partition plate 214 and the bottom surface 219 to the third tank 203, the oil contained in the wastewater separates from the water due to the difference in specific gravity and floats to the top, stacking mainly at the top of the second tank 202. Oil that does not separate completely in the second tank 202 also accumulates at the top of the third tank, but because the outlet 25C at the bottom end of the trap pipe through which the wastewater is discharged in the third tank 203 is located sufficiently below the water surface, the wastewater from which the oil has been separated due to the difference in specific gravity is discharged through the trap pipe 215 to the drain pipe 291.

If the grease trap 21 is properly cleaned, the oil separates as the wastewater flows between the partitions 212-214 as described above, and the water quality standards for the wastewater discharged from the grease trap 21 are met. However, if cleaning is neglected and too much oil and sludge accumulates, the amount of wastewater entering the grease trap 21 decreases, the difference in specific gravity becomes less effective, and the oil does not separate completely, causing the wastewater to be discharged into the downstream drain pipe 291. For this reason, a sensor 22 is installed inside the grease trap 21 to manage the level of contamination.

In FIG. 2, multiple sensors 221 are arranged in the first tank 201 in the height direction from the lower end of the side wall 217, and detect the amount of sludge accumulated at the bottom of the first tank 201. Multiple sensors 222 are arranged in the third tank 203 from the top of the partition plate 214 to the middle in the height direction, and detect the amount of oil accumulated at the top of the third tank 203. Sensor 223 is provided in the trap pipe 215, and detects the turbidity of the wastewater discharged through the trap pipe 215.

Figure 3 is a diagram showing an example of the sensors 221 and 222. The sensors 221 and 222 are capacitance-type sensors in which an electrode 22B is provided on the detection surface side of the housing 22A, and the electrode 22B is equipped with an oscillator circuit 22C, a detection circuit 22D, and an output circuit 22E.

The oscillator circuit 22C is an RC oscillation type circuit that applies a voltage to the electrode 22B so that the sensor 221, 222 oscillates or stops oscillating when a dielectric approaches or leaves the detection surface of the sensor 221, 222. The detection circuit 22D detects whether the oscillator circuit 22C is oscillating, and the output circuit 22E outputs the detection result. Since the capacitance is different when wastewater is in contact with the detection surface and when sludge or oil dust is in contact with the detection surface, the sensor 221, 222 detects whether sludge or oil dust is in contact with the detection surface. In addition, since the sensors 221, 222 are arranged at different heights, the amount of sludge or oil dust, i.e., the degree of dirt, is detected depending on which sensor 221, 222 detects the sludge or oil dust. Note that, although an example of a capacitance type sensor is shown in FIG. 3, the sensors 221, 222 are not limited to the capacitance type, and may be any type of sensor that can detect the presence or absence of sludge or oil dust.

Figure 4 is a diagram showing an example of the turbidity sensor 223. The turbidity sensor 223 has a light source 23A and light receiving units 23B and 23C. The light receiving unit 23B measures the light transmitted through the measured portion 23D, and the light receiving unit 23C measures the light scattered by the substance present in the measured portion 23D. If the degree of contamination of the wastewater passing through the measured portion 23D is high and there is a lot of substance present in the measured portion 23D, the amount of transmitted light received by the light receiving unit 23B will be small and the amount of scattered light received by the light receiving unit 23C will be large. On the other hand, if the degree of contamination of the wastewater passing through the measured portion 23D is low and there is a little substance present in the measured portion 23D, the amount of transmitted light received by the light receiving unit 23B will be large and the amount of scattered light received by the light receiving unit 23C will be small. In this way, the turbidity sensor 223 detects the degree of contamination of the wastewater discharged from the grease trap 21.

As shown in FIG. 1, the store terminal 12 is connected to a sensor 22 attached to the grease trap 21 and detects the degree of contamination. The store terminal 12 is equipped with a contamination information transmission unit 121 that detects the degree of contamination in the grease trap 21 with the sensor 22 and transmits the detection result to the management server 11 as contamination level information.

Figure 5 is a functional block diagram of the management server 11. The management server 11 includes an acquisition unit 111, a transition acquisition unit 112, an estimation unit 113, a scheduling unit 114, a cleaning determination unit 115, a fee calculation unit 116, and an output control unit 117.

The acquisition unit 111 acquires pollution level information from the store terminal 12 of each store and stores it in the storage unit. FIG. 6 is a diagram showing an example of a data table in which pollution level information is stored for each store. The data table shown in FIG. 6 has a store ID, detection date and time, and pollution level information. The store ID is identification information for uniquely identifying the store. The detection date and time is information indicating the date and time when the pollution level information was detected. In the example of FIG. 6, pollution level information is stored for one grease trap 21 for each store, but if a store is equipped with multiple grease traps 21, for example, the highest pollution level of the multiple grease traps 21 may be stored, or the pollution level may be stored for each grease trap.

The trend acquisition unit 112 acquires trend information showing the trend of contamination in the grease trap 21 for each store based on the acquired pollution level information.

The estimation unit 113 estimates the degree of dirt that will progress from the current time onwards for each store based on the transition information acquired by the transition acquisition unit 112.

The scheduling unit 114 predetermines the degree of dirt (upper limit value) that requires cleaning, and determines a schedule to clean the grease trap 21 of each store 2 on the day when the degree of dirt estimated by the estimation unit 113 for each store 2 reaches the degree of dirt that requires cleaning. The scheduling unit 114 also determines a schedule to clean the grease traps installed in the first store and the second store together by determining, among the multiple stores, a store 2 whose degree of dirt exceeds a first threshold value as a first store, and a store whose degree of dirt is estimated to exceed a second threshold value at the time when the degree of dirt in the first store is estimated to reach the upper limit value. The first threshold value may be, for example, a value that is estimated to reach the upper limit of the degree of dirt within one week. The second threshold value may be the same value as the first threshold value or a value lower than the first threshold value, and may be, for example, a value that is estimated to reach the upper limit of the degree of dirt within one month.

The cleaning determination unit 115 detects that cleaning has been performed when the level of dirt has decreased based on the transition information acquired by the transition acquisition unit 112, and determines that unauthorized cleaning has been performed when the turbidity of the wastewater during the cleaning becomes equal to or greater than a third threshold value.

The fee calculation unit 116 calculates the cleaning fee for the store to be cleaned based on the degree of dirt in the grease trap 21 at the time of cleaning. For example, the standard fee is set as the fee for cleaning when the degree of dirt has reached the upper limit, and a fee lower than the standard fee is set if cleaning is performed when the degree of dirt exceeds a second threshold and is lower than the upper limit.

Based on the transition information, the output control unit 117 outputs cleaning information regarding the cleaning of the grease trap 21. The cleaning information may include, for example, a cleaning schedule, a cleaning fee, a warning in the event of unauthorized cleaning, and the like.
FIG. 7 is a diagram showing an example of the device configuration of a computer. The management server 11, the store terminal 12, the user terminal 13, and the cleaning company server 14 are an information processing device (computer) 1000 as shown in FIG. 7. The computer 1000 includes, for example, a CPU (Central Processing Unit) 1001, a main memory device 1002, an auxiliary memory device 1003, a communication IF (Interface) 1004, an input/output IF (Interface) 1005, a drive device 1006, and a communication bus 1007. The CPU 1001 executes a program to perform the process described in this embodiment. The main memory device 1002 caches the program and data read by the CPU 1001, and expands the working area of the CPU. The main memory device is, specifically, a RAM (Random Access Memory) or a ROM (Read Only Memory). The auxiliary memory device 1003 stores the program executed by the CPU 1001 and the setting information used in this embodiment. The auxiliary storage device 1003 is specifically an HDD, SSD, flash memory, etc. The communication IF 1004 transmits and receives data to and from other computer devices. The communication IF 1004 is specifically a wired or wireless network card, etc. The input/output IF 1005 is connected to an input/output device, and receives input from a computer user and outputs information to the user. The input/output device is specifically a keyboard, a mouse, a display, a touch panel, etc. The drive device 1006 reads data recorded on a recording medium such as a flexible disk, a CD (Compact Disc), a DVD (Digital Versatile Disc), or a BD (Blu-ray (registered trademark) Disc), and writes data to the recording medium. The above-mentioned components are connected by a communication bus 1007. Note that a plurality of these components may be provided, or some components (for example, the drive device 1006) may not be provided. The input/output device may be integrated with the computer. In the computer 1000, the CPU 1001 loads a program stored in the auxiliary storage device 1003 into the working area of the main storage device and executes it, and each component is controlled through the execution of the program, thereby realizing each function that matches a predetermined purpose. For example, in the case of the store terminal 12, the CPU 1001 realizes the function of the pollution information transmission unit 121. In the case of the management server 11, the CPU 1001 realizes the functions of the acquisition unit 111, the transition acquisition unit 112, the estimation unit 113, the scheduling unit 114, the cleaning judgment unit 115, the fee calculation unit 116, and the output control unit 117. However, some or all of the functions may be realized by hardware circuits such as ASICs and FPGAs. The management server 11 may be composed of a single computer, or may be composed of multiple computers that cooperate with each other.
<Management method>
Fig. 8 is a diagram showing a management method executed based on a management program by the management server 11. When the management server 11 is powered on, it starts the process of Fig. 8 and executes it periodically until the power is turned off.

In step S10, the management server 11 acquires pollution level information indicating the degree of pollution of the grease traps 21 installed in each store from the store terminal 12.

In step S20, the management server 11 stores the pollution level information acquired in step S10 in a data table stored in the auxiliary storage device 1003.

In step S30, the management server 11 refers to the data table of pollution level information, and obtains the change in pollution level over a specified period as transition information (progression of pollution). For example, the amount of change in pollution level per unit period (e.g., one week) over a specified period (e.g., three weeks) is obtained as transition information.

In step S40, the management server 11 determines whether the degree of contamination (pollution level) of the grease trap in each store 2 has exceeded a first threshold value.

If the judgment in step S40 is positive, the management server 11 proceeds to step S50, extracts the stores whose pollution level was judged to exceed the first threshold in step S40, and assumes that the pollution level of the stores will progress (increase) in the same manner as the progress information obtained in step S30, and determines the day on which the pollution level will reach the upper limit as the cleaning day. Note that if the pollution levels of multiple stores exceed the first threshold, the day on which the pollution level of the stores will reach the upper limit earliest is determined as the cleaning day.

In step S60, the management server 11 extracts stores 2 whose pollution levels are estimated to exceed the second threshold by the cleaning date determined in step S50.

In step S70, the management server 11 determines a schedule for cleaning the grease traps of the first store 2 extracted in step S40 and the second store extracted in step S50 together on the cleaning date.

In step S80, the management server 11 transmits cleaning information, including the schedule determined in step S70, to the cleaning company server 14.

After step S80, or if the determination in step 40 is negative, the management server 11 proceeds to step S90 and determines for each store whether cleaning has been performed within a specified period (e.g., the last 24 hours), e.g., whether the degree of pollution has decreased by a specified value or more.

If the determination in step S90 is positive, the management server 11 determines whether the detection result of the turbidity sensor 223 during cleaning is equal to or greater than the third threshold value.

If the judgment in step S90 is positive, the management server 11 proceeds to step S100 and transmits a warning indicating that unauthorized cleaning has been performed as cleaning information to the store terminal 12, the cleaning company server 14, and the terminal (not shown) of the person in charge of the management server 11.

In step S110, the management server 11 estimates the degree of pollution on the cleaning day determined in step S40 for the stores to be cleaned, and calculates the cleaning fee for each store 2 based on the degree of pollution.

In step S120, the management server 11 obtains cleaning information, including the schedule determined in step S70 and the cleaning fee calculated in step S110, and transmits the information to the store terminal 12 of the store 2 that will perform the cleaning.

In this way, according to this embodiment, the grease traps of multiple stores 2 are scheduled to be cleaned together, which allows the grease traps 21 to be cleaned efficiently and prevents unauthorized cleaning.

In addition, when cleaning grease traps from multiple stores at the same time, if the level of dirt has not reached the upper limit, the cleaning fee will be lower than the standard fee depending on the level of dirt, so costs can be kept down even if cleaning is done early.

In addition, when the degree of pollution decreases, it is detected that cleaning has been performed, and when the turbidity of the wastewater passing through the trap pipe 215 during this cleaning exceeds a third threshold, a warning is issued as it indicates that improper cleaning has been performed, such as discharging sludge and oil dust into the downstream drain pipe without removing it. This makes it possible to call attention to prevent improper cleaning and encourage proper cleaning.
<Modification>
9 is a diagram showing a modified example of the management server 11. This modified example differs from the above-mentioned embodiment in the configuration for detecting that a large amount of coffee grounds has been poured, but the other configurations are the same. For this reason, the same elements as those in the above-mentioned embodiment are given the same reference numerals and will not be described again.

Coffee grounds cannot be removed by the basket 211, and if a large amount is flushed away, it will not settle and will flow into the downstream drain pipe, clogging the pipe. For this reason, it is important to prevent coffee grounds from being flushed down the drain pipe in coffee shops, etc.

9, the management server 11 of this modified example includes a coffee powder detection unit 118. The coffee powder detection unit 118 detects the turbidity of the wastewater with coffee powder suspended in it using a turbidity sensor 223, and predetermines the detected result as a specified value. For example, during the discharge of a predetermined amount (e.g., 1 L), the amount of coffee powder is changed from a state in which an allowable amount of coffee powder is suspended to a state in which the coffee powder is suspended to the maximum amount, and for each amount of suspended coffee powder, the ratio of the transmitted light measured by the light receiving unit 23B and the scattered light measured by the light receiving unit 23C is obtained, and this ratio is set as a specified value. When the ratio of the transmitted light and the scattered light detected in the actual wastewater matches the ratio of the specified value with the same transmitted light value, it is detected that coffee powder is being discharged. Note that in this example, "match" does not necessarily mean that the values are exactly the same, and it may be determined that the values match when they approach a specified allowable range.

Figure 10 is an explanatory diagram of the management method according to this modified example. When the management server 11 is powered on, it starts the process shown in Figure 10 and executes it periodically until the power is turned off.

In Figure 10, steps S10 to S100, S110, and S120 are the same as those in Figure 8 described above.

After step S100, in step 103, the management server 11 acquires the detection result of the turbidity sensor 223 and compares it with the specified value to determine whether it matches.

If the answer is yes in step S103, the management server 11 sends a warning to the store terminal 12 or the terminal (not shown) of the person in charge of the management server 11 in step S105, indicating that the coffee powder has been flushed.

In this way, this modified version detects when coffee grounds have been flushed down the drain and issues a warning, making it possible to warn the user not to flush coffee grounds down the drain and to encourage proper cleaning, such as bringing forward the next cleaning.

The above describes an embodiment of the present invention, but the present invention is not limited to the above, and can be implemented in various modifications without departing from the spirit of the invention.

1: Management system 11: Management server 12: Store terminal 13: User terminal 14: Cleaning company server 20: Commercial facility 21: Grease trap

Claims (8)

An acquisition unit that acquires pollution level information indicating the degree of dirt related to a grease trap installed in each store;
a transition acquisition unit that acquires transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
an output control unit that outputs cleaning information related to the cleaning of the grease trap based on the transition information;
an estimation unit that estimates the degree of dirt that will progress from the current time point onward for each store based on the transition information;
a scheduling unit that determines a schedule for cleaning the grease traps provided in the first store and the second store together, the scheduling unit determining, among the plurality of stores, a store whose degree of dirt has exceeded a first threshold value as a first store, and a store whose degree of dirt is estimated to exceed a second threshold value at a time when the degree of dirt in the first store is estimated to reach a predetermined upper limit value as a second store ,
The management device wherein the output control unit transmits the cleaning information including the schedule to an information processing device of a cleaning company . A turbidity detection unit that detects the turbidity of the wastewater discharged from the grease trap;
A cleaning determination unit that detects that cleaning has been performed when the degree of dirt has decreased based on the transition information, and determines that unauthorized cleaning has been performed when the turbidity of the wastewater becomes equal to or greater than a third threshold value during the cleaning;
The management device according to claim 1 . A turbidity detection unit that detects the turbidity of the wastewater discharged from the grease trap;
a coffee powder detection unit that determines a result detected by the turbidity detection unit when coffee powder is suspended in the drainage water as a preset value, and detects that coffee powder is being discharged when a result of detecting the actual turbidity of the drainage water by the turbidity detection unit matches the preset value;
The management device according to claim 1 . The management device according to any one of claims 1 to 3, further comprising a fee calculation unit that calculates the cleaning fee based on the degree of dirt. The management device of claim 4, wherein the fee calculation unit sets a standard fee as the fee for cleaning when the level of dirt reaches an upper limit value, and calculates a fee for cleaning that is cheaper than the standard fee when cleaning is performed when the level of dirt exceeds a second threshold value and is lower than the upper limit value . A management system including a store-side terminal installed in a store and a management device connected to the store-side terminal via a network,
the store-side terminal includes a pollution information transmission unit that transmits pollution level information indicating a degree of pollution related to a grease trap installed in the store to the management device,
The management device,
an acquisition unit that acquires the pollution level information from the store-side terminal;
a transition acquisition unit that acquires transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
an output control unit that outputs cleaning information related to the cleaning of the grease trap based on the transition information;
an estimation unit that estimates the degree of dirt that will progress from the current time point onward for each store based on the transition information;
a scheduling unit that determines a schedule for cleaning the grease traps provided in the first store and the second store together, the scheduling unit determining, among the plurality of stores, a store whose degree of dirt has exceeded a first threshold value as a first store, and a store whose degree of dirt is estimated to exceed a second threshold value at a time when the degree of dirt in the first store is estimated to reach a predetermined upper limit value as a second store,
The output control unit transmits the cleaning information including the schedule to an information processing device of a cleaning company.
Management system. acquiring pollution level information indicating the degree of pollution of grease traps installed in each store;
acquiring transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
estimating the degree of dirt that will progress from the current time onwards for each store based on the transition information;
determining a schedule for collectively cleaning the grease traps installed in the first store and the second store, by designating a store among the plurality of stores in which the degree of dirt has exceeded a first threshold value as a first store, and a store in which the degree of dirt is estimated to exceed a second threshold value at a time when the degree of dirt in the first store is estimated to reach a predetermined upper limit value as a second store; and
A step of transmitting cleaning information regarding cleaning of the grease trap, the cleaning information including the schedule, to an information processing device of a cleaning company based on the transition information;
A method of managing how a computer performs. acquiring pollution level information indicating the degree of pollution of grease traps installed in each store;
acquiring transition information indicating a transition of the degree of contamination of the grease trap for each store based on the acquired pollution degree information;
estimating the degree of dirt that will progress from the current time onwards for each store based on the transition information;
determining a schedule for collectively cleaning the grease traps installed in the first store and the second store, by designating a store among the plurality of stores in which the degree of dirt has exceeded a first threshold value as a first store, and a store in which the degree of dirt is estimated to exceed a second threshold value at a time when the degree of dirt in the first store is estimated to reach a predetermined upper limit value as a second store; and
A step of transmitting cleaning information regarding cleaning of the grease trap, the cleaning information including the schedule, to an information processing device of a cleaning company based on the transition information;
A management program for running the following on a computer.

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