JP3302880B2 - Pipe network calculator and demand allocation method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a pipe network calculation apparatus for analyzing a network flow of a pipe network facility such as water supply or gas, and more particularly to a demand data allocating method on a model.

[0002]

2. Description of the Related Art In a conventional pipe network calculation apparatus, the allocation of demand to demand points on a pipe network is manually performed. That is,
The average daily demand in town units is calculated based on the meter reading ledger, the distribution rate in chome units is calculated from the population ratio in the town, and the demand amount at each demand point is determined based on the experience and intuition of workers. For this reason, the allocating operation requires a great amount of time, and it has not been possible to immediately respond to the renewal of the allocation due to the fluctuation of the customer.

In the pipe network management apparatus described in Japanese Patent Application Laid-Open No. 5-280077, the water supply pipes connected to the water supply pipes and the water distribution pipes connected to the water supply pipes are connected to each other. A method has been proposed in which generated water usage (metering data) is directly assigned to water distribution pipes on a pipe network model, and a water consumption model from an arbitrary water distribution pipe is generated with the water pipes to be managed.

[0004]

As in the prior art, when assigning demand data on a pipe network model that relies on manual labor, individual differences appear in data, and there is a problem in accuracy and reproducibility. In addition, demand allocation work cannot keep up with fluctuations in demand due to the movement of customers, such as the construction of large-scale estates, and the renewal of pipelines due to frequent water supply works.

[0005] In addition, since the allocation method according to the above cited example manages up to the water supply pipe, it is necessary to apply the meter reading data of all target faucets connected to the water supply pipe to the water supply pipe on the pipe network diagram. It requires a great deal of time and effort to process and manage data.

SUMMARY OF THE INVENTION The present invention overcomes the above-mentioned problems of the prior art, and automatically calculates a demand amount at a demand point on pipe network data. To provide a pipe network calculation device with high cost.

[0007]

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method for assigning demand to demand points on pipe network data in pipe network analysis. Calculate, divide the pipe network region including a plurality of meter reading areas into meshes, calculate the virtual demand of each mesh from the area ratio of each meter reading area in each mesh and the total demand, and calculate the virtual demand for each demand point. This is achieved by totalizing the virtual demands of meshes having a predetermined relationship.

As described above, by using the virtual demand for each mesh, it is possible to easily develop meter reading data that can identify only the meter reading area by the fee calculation system into demand data at the demand point as the position data. By omitting details such as a small-diameter water pipe, the demand amount of the demand point on the pipe network data can be easily approximated using only the pipe network data and the meter reading data.

The above object is also achieved by the above-mentioned method, in which the demand of each customer is calculated from the meter reading data, the demand of general consumers excluding a specific large-scale customer is compiled, and the general demand of each meter reading area is calculated. The total demand of the consumers is obtained, and the demand of the specific large-scale consumer is directly assigned to a specific demand point associated in advance, and the virtual demand of each mesh is calculated based on the total demand of the general consumer. Is calculated by counting the nearest demand points from each mesh other than the specific demand points. As a result, it is possible to easily and accurately allocate the demands of a large number of general consumers, while treating the demands of the large customers that are almost one-to-one with the demand points.

The virtual demand d (i, j) in the mesh (i, j) is obtained by the following equation (1), where the area Sn of the meter reading area n and the total demand Qn of the meter reading area n are given.

[0011]

## EQU2 ## d (i, j) = Σ (Qn × (area of meter reading area n occupying mesh (i, j)) / Sn) (1) where n = 1 to N.

FIG. 1 shows a basic concept of a method for allocating demand data on a pipe network model according to the present invention. As shown in (a), a plurality of faucets 102 exist in an actual pipe network 101. The total demand in the meter reading area 103 is obtained based on the demand generated in each faucet. Next, as shown in (b), the pipe network 101 is divided into meshes 104 so as to include the meter reading areas 103, and the total demand of the meter reading areas 103 is determined according to the area ratio of the meter reading areas 103 in each mesh. By distributing, the (virtual) demand amounts d1 to d9 of each mesh are obtained. Finally, as shown in (c), the pipe network data 105 on the pipe network model composed of the main pipes of the pipe network 101.
, The (virtual) demand amounts d1 to d9 of the closest mesh are allocated to the demand points N1 to N3, respectively. That is, for the demand point at which the distance from the center of the mesh is the shortest, the demand amount of each mesh is totaled, and the demand amount of each demand point is obtained.

According to this, by acquiring and accumulating the latest meter reading data by the fee calculation system, the demand allocation can be easily updated even if the pipe network is changed or the demand point is increased or decreased. Therefore, the burden on the worker is small. Also,
Since there is no individual difference in assignment, stable accuracy of pipe network calculation can be secured.

[0014]

Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 2 is a functional block diagram illustrating a schematic configuration of the pipe network calculation device according to the embodiment. The central processing unit 1 manages and analyzes the pipe network and displays facility drawing data and the like.

The main memory 3 stores programs relating to a pipe network management function 31, a pipe network display function 32, and a simulation function 33 for executing processing such as facility drawing data search, editing, and pipe network analysis. ing. The pipe network management function 31 includes a pipe network input correction function 311, a demand allocation function 312, and a pipe network / condition management function 313. The automatic demand allocation method of the present invention is applied to the demand allocation function 312.

The file device 4 is provided with a facility drawing data file 100 of the pipe network. The facility drawing data includes graphic data such as demand points and pipelines, and numerical data and character attribute data relating to facilities such as pipeline types, pipeline diameters, and demand point types.

The input device of the keyboard 5 and the mouse 6 is used to operate the pipe network calculator and to input and correct drawing data. That is, on the facility drawing read out from the file device 4 and displayed on the display 2, addition or deletion of demand points or pipelines, or division of the range of the pipe network is performed and stored in the file device 4 again. The magnetic tape device 8 is a device for reading meter reading data in a pipe network, and stores meter reading data stored on the magnetic tape 7 in a meter reading data file 200 of the file device 4.

The intermediate results and final results of the demand allocation are stored in the files 300 and 400 of the file device 4, and the demand distribution status and the like are displayed in color on the display 2 via the central processing unit 1, and each demand point is displayed. Numerical display of the demand assigned to.

FIG. 3 shows pipe network data (pipe network model) divided into areas for meter reading. To divide the meter reading area, the meter reading area drawn on the map is directly read using a drawing reading device such as an auto digitizer. Alternatively, the pipe network data is displayed on the display 2, and a dividing line is drawn directly on the display using the mouse 6 to create a polygon including the relevant demand points in the meter reading area. After the meter reading area is created, a meter reading area number is assigned to each meter reading area, and association with the meter reading data is made.

FIG. 4 is a flowchart showing one embodiment of the demand allocation process. First, the meter reading data is read from the magnetic tape 7 storing the meter reading data by the meter reading data input processing (step A). Next, in a meter reading data file creation process, data necessary for assigning demand is edited for each meter tap and a meter reading data file is created (step B).

FIG. 5A shows the structure of a meter reading data file. In this example, meter reading data created by a normal fee calculation system is used based on meter reading information acquired from a water meter of each consumer every two months. That is, the meter reading data stored in the magnetic tape 7 is read from the fee calculation system, and the meter reading data 20 is stored in the meter reading data file 200.
Stored as 1.

The data items of the meter reading data 201 include a faucet number 202 assigned to each demand point, a demand amount 203 generated during the meter reading period, a previous meter reading date 204, and a current meter reading date 2.
05, the meter reading zone number 206 including the demand point, and the diameter 207 of the pipeline connected to the demand point.

Next, a meter reading attribute database 400 is created from the meter reading data file 200 by a customer database creating process (step C). FIG. 5B shows the configuration of the meter reading area attribute database. The meter reading area attribute data 401 calculates the daily demand according to the formula (2) for each meter reading area number 206 from the meter reading data file 200. The total is calculated to determine the total demand in the meter reading area.

[0024]

Demand amount = Demand amount 203 / (Current meter reading date 205−Previous meter reading date 204) (2) Next, mesh is allocated at regular intervals on the pipe network diagram by mesh demand allocation processing, and the total meter reading area is calculated. The demand is developed into the mesh demand based on the area ratio of the meter reading area in the mesh in each mesh (step D).

Finally, by the demand point demand allocation process,
The mesh demand is allocated to the demand point closest to the center of the mesh (step E).

FIG. 6 is a flowchart showing details of the mesh demand allocation processing. The mesh demand allocation process D captures the coordinate information of the meter reading area on the pipe network diagram,
Based on the minimum x, the maximum X, the minimum y, and the maximum Y, the inside and outside of the meter reading area are determined for all the meshes, and the ratio of the meter reading area occupied area in the mesh in the meter reading area and the mesh on the boundary of the meter reading area is obtained. The total meter reading area demand is allocated to each mesh according to the inner area ratio.

First, the demands of all demand points are initialized (D10). Mesh coordinate information is created and the pipe network model is divided into meshes (D20). Next, the following processing is repeated for the number of times that the meter reading area can be registered (D30).

First, the meter reading area information is checked (D4).
0). And if the meter reading area is undefined or abnormal,
The process moves to the next meter reading area (D50, D60). If it is defined normally, coordinate information of the meter reading area is extracted (D
70) The minimum x, maximum X, minimum y, and maximum Y are calculated (D80). Further, a corresponding mesh point is calculated (D90).

Next, the area (ratio) in the meter reading area is calculated for each mesh on the meter reading area boundary (D10).
0). In addition, the mesh in the meter reading area (ratio = 100%)
Is calculated (D110). Further, the total area of the meter reading area is calculated from the area of these meshes, and the total demand of the meter reading area is developed (D120). Finally, the demand of each mesh is calculated according to the area ratio in the meter reading area (D130).

Next, taking one of the meter reading areas as an example, a method of expanding the total demand of the meter reading areas to the demand of each mesh related to the meter reading areas, and the allocation of the demand to the demand points on the pipe network model. The method will be described.

FIG. 7 shows a part of the meter reading area in the pipe network data. Meter reading area 001 to meter reading area 00
3 is a part of the meter reading area shown in FIG. First,
The entire pipe network area is meshed (row direction i to n, column direction 1 to 1)
7), and the demand for each mesh is determined. For convenience of explanation, a row number and a column number are given to a mesh, and a mesh (n, 1), a mesh (m,
2) and the case of mesh (1, 6) will be described.

FIG. 8 is an explanatory diagram showing how to calculate the demand amount of the mesh. The mesh (n, 1) shown in (a) has a meter reading area 001 in a part of the mesh. The hatched area in the figure indicates the meter reading area 001 in the mesh (n, 1).
Is shown. In this case, the demand amount d (n, 1) in the mesh (n, 1) is obtained by Expression (3).

[0033]

D (n, 1) demand = (total meter reading area 001 demand) × (mesh (n, 1) meter reading area 001 area) / (meter meter reading area 001 total area) (3) (b) The mesh (m, 2) shown in FIG. The demand amount d (m, 2) in the mesh (m, 2) is obtained by Expression 3.

[0034]

D (m, 2) demand = (total meter reading area 001 demand) × (mesh (m, 2) meter reading area 001 area) / (meter reading area 001 total area) (4) (c) The mesh (l, 6) shown in FIG.
There are three zones, a meter reading zone 002 and a meter reading zone 003. Demand amount d (l, 6) in mesh (l, 6)
Is determined by equation (5). Note that the general expression of Expression (5) becomes Expression (1).

[0035]

D (l, 6) demand = (total meter reading area 001 demand) × (mesh (1,6) meter reading area 001 area) / (meter reading area 001 total area) + (meter reading area 002 total demand) Amount) × (meter area of the meter reading area of mesh (l, 6) 002 area) / (total area of meter reading area 001) + (total demand of meter reading area 003) × (meter area of meter reading area of mesh (l, 6) 003) / (meter reading) Area 003 total area) (5) As described above, by expanding the total demand of each meter reading area into each mesh in accordance with the area ratio of each meter reading area in the mesh, the demand of each mesh is reduced. Easy approximation.
Thus, after the demands of all the meshes related to the pipe network data are obtained, the mesh demands are allocated to the demand points on the pipe network data.

FIG. 9 is an explanatory diagram showing the allocation of the demand amount at each demand point in the meter reading area. In this example, the meter reading area 0
The allocation of the mesh demand amount to the demand points N1 to N6 in 01 is shown.

To the demand point N closest to the center of the mesh,
The demand amount d of the mesh is added to make the demand amount at the demand point N. FIG. 7B shows the mesh demand d added to each of the demand points N1 to N6.

The demand point demand amount thus obtained is stored as demand point attribute data in the facility drawing data file 100, and the pipe network calculation 331 by the simulation function 33.
Used for

After the demand amount allocation to all the demand points is completed, the mesh demand amount created in the process can be displayed on the display 2 by a color-coded display using an arbitrary threshold value. Can be evaluated visually.

The meter reading area number defined in the facility drawing data file 100 corresponds to the meter reading data file 200.
Does not exist (or if there is an undefined meter reading area number in the facility drawing data file 100 in the meter reading data file 200), an inconsistent corresponding message is displayed on the display 2 and the pipe network input correction is performed. Function 311
Allows the data to be modified.

As described above, according to the present embodiment, the pipe network model including the demand points and the meter reading areas is divided into meshes, and the total demand amount of the meter reading areas is determined from the occupied area of each meter reading area in each mesh. The demands are obtained by developing the meshes, and the demands of the meshes are added to the nearest demand point, thereby easily allocating the demands of the demand points. In this case, the mesh demand in the vicinity of the meter reading area boundary is not necessarily allocated to the demand points in the meter reading area, but is allocated according to the occupation ratio of the meter reading area in the mesh. The amount error is small.

Further, since the allocation is made based on the total demand for each meter reading area, the meter reading data created by the charge calculation system can be used as it is, and there is no need for any prior manual data arrangement. In addition, since the total demand in the meter reading area based on the meter reading data is updated at least every two months, it can sufficiently follow the pipe network change and the increase and decrease of the demand points.

By the way, the meter reading data includes data of small customers due to consumption of general households and data of large customers due to factories, hospitals, large stores and the like. In the pipe network data, tens to thousands of meter reading data of general consumers correspond to one demand point, and meter reading data of large customers corresponds to a specific demand point with about one case. For this reason, in order to improve the accuracy of demand assignment according to the present invention, it is necessary to distinguish and assign meter reading data of large customers.

Next, as a second embodiment of the present invention, the demand amount allocation in the above-described first embodiment will be described.
A correction method for individually assigning large-scale customer data will be described.

FIG. 10 is an explanatory diagram showing a method for creating a large-scale consumer database. On the pipe network data 1001, attribute data (a water tap number 503, a customer name 504, a demand type 505 such as a factory or a hospital) is given to a demand point 1002 corresponding to a large customer in advance. Further, the customer data 501 in the large customer database 500
Is composed of a large customer number 502, a demand amount 506, and a corresponding demand point number 507, which are automatically allocated from the system, and are allocated as follows.

In the allocation processing flow of FIG. 4, in the case of a large customer, the creation of the customer database in step C is as follows.
Faucet number 202 in meter reading data file 200 (FIG. 5)
When the faucet number 503 in the large customer database 500 (FIG. 10) matches, the demand calculated from the meter reading data 201 by the equation 1 is stored in the demand 506 of the large customer database 500.

Further, in the mesh demand allocation in step D, the demand of large customers is excluded from the total demand in each meter reading area. In the demand point demand allocation in step E,
Excluding demand points previously associated with large customers, the mesh demand is assigned to each key point. After that, the demand amount allocation result of each demand point by a general customer and the demand amount allocation result of a specific demand point for a large customer are combined (step F) and stored as demand point attribute data in the facility drawing data 100, Used for the pipe network calculation 331 by the simulation function 33. The middle or final result of the demand quantity allocation on the pipe network model is displayed so that large customers and their demand points can be identified.

If a number matching the faucet number 503 defined in the large customer database 500 is not found by searching the meter reading data file 200 in step C, a message indicating mismatch is displayed on the display 2.

According to the present embodiment, for a large customer who is almost one-to-one associated with a demand point on the pipe network model, the demand amount is calculated from the meter reading data and assigned to the corresponding demand point. Calculates mesh demand and assigns it to demand points based on meter reading data for each meter reading area, once excluding the demand volume and demand points of large consumers, and metering areas on the pipe network model. The accuracy of quantity can be improved.

[0050]

According to the present invention, the pipe network model in which the meter reading areas are divided is divided into a plurality of meshes, and the mesh demand is divided by the ratio of each meter reading area to each mesh and the total demand in meter reading area units. Calculated from the quantity, and these mesh demands are allocated to neighboring demand points to determine the demand for each demand point, so that the manual work required for the allocation can be significantly reduced, and the experience and Since the data becomes stable without depending on intuition, there is an effect that the reliability of the pipe network calculation system can be improved. Further, since the latest meter reading data in the charge calculation system can be directly used, it is possible to easily follow the rapid change of the pipe network in urban development and the like, and to improve the usability of the pipe network calculation system.

Further, according to the present invention, it is possible to adopt a correction method for separately processing large-scale customers, so that the allocation accuracy can be improved to a practical level while using a simple algorithm using the mesh demand. is there.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram showing a basic concept of demand amount allocation of a pipe network model according to the present invention.

FIG. 2 is a functional block diagram showing a configuration of a pipe network calculation device according to one embodiment.

FIG. 3 is an explanatory diagram showing a configuration concept of a pipe network model (data).

FIG. 4 is a flowchart showing a method for allocating demand of a pipe network model according to one embodiment.

FIG. 5 is a configuration diagram of a meter reading data file and a meter reading area attribute database.

FIG. 6 is a flowchart showing a mesh demand allocation process.

FIG. 7 is an explanatory diagram showing mesh division of a pipe network model (data).

FIG. 8 is an explanatory diagram showing a calculation method of a mesh demand amount according to an occupancy state of a meter reading area.

FIG. 9 is an explanatory diagram showing a method of allocating demand point demand.

FIG. 10 is an explanatory diagram showing a method for creating a database of large customers according to another embodiment.

[Explanation of symbols]

1. Central processing unit (CPU), 2. Display, 3.
Main memory, 4 ... File device, 5 ... Keyboard, 6
... Mouse, 7 ... Magnetic tape, 8 ... Magnetic tape device, 31
... pipe network management function, 311 ... pipe network input correction function, 312 ...
Demand allocation function, 32: pipe network display function, 33: simulation function, 331: pipe network calculation function, 100: facility drawing data file, 101: pipe network, 102: faucet, 00
1, 002, 003, 103: Meter reading area, 104: Mesh, 105: Pipe network model (data), 200: Meter reading data file, 201: Meter reading data, 202: Water tap number, 203: Demand amount, 204: Previous meter reading Date, 205: current meter reading date, 206: meter reading area number, 207: caliber, 40
0: meter reading area attribute database, 402: meter reading area number, 403: demand, 500: large customer database, 501: large customer data, 502: large customer number, 503: faucet number, 504: customer name , 505: Demand type, 506: Demand amount, 507: Corresponding demand point number, 1
001: Pipe network data, 1002: Demand points corresponding to large customers.

──────────────────────────────────────────────────続 き Continuing from the front page (72) Inventor Kazuo Tsutsui 5-2-1 Omika-cho, Hitachi City, Ibaraki Prefecture Inside the Omika Plant, Hitachi, Ltd. (72) Inventor Katsuhiro Ishikawa 5-2-2 Omika-cho, Hitachi City, Ibaraki Prefecture No. 1 in Hitachi Information Control System Co., Ltd. (56) References JP-A-4-357220 (JP, A) JP-A-5-280077 (JP, A) JP-A-4-231525 (JP, A) 7-18708 (JP, A) JP-A-7-133898 (JP, A) JP-A-6-103258 (JP, A) JP-A-3-60649 (JP, A) Katsuteru Kitano, for pipe load prediction system In addition, Takeshi Okamoto, Makoto Sato, Use of Mesh Information System in City Gas Business, Operation Research, Vol. 22, No. 2, pages 90-95 (58) Fields investigated (Int. Cl. ⁷ , DB name) E03B 1/00 G06F 17/60

Claims (8)

(57) [Claims] 1. A method for allocating demand to demand points on pipe network data in a pipe network analysis of a pipe network facility for supplying water or gas, etc., wherein a demand quantity from meter reading data is collected for each meter reading area. Calculating a total demand, dividing the pipe network region including a plurality of meter reading zones into meshes, calculating a virtual demand of each mesh from an area ratio of each meter reading zone in each mesh and the total demand, A demand allocation method, comprising: summing up, for each demand point, virtual demand amounts of respective meshes having a predetermined relationship. 2. A method of allocating demand to demand points on pipe network data in a pipe network analysis of a pipe network facility for supplying water or gas, etc., wherein a demand quantity of each customer is calculated from meter reading data and specified. Aggregate the demand of general consumers excluding large customers of the above, determine the total demand of general customers in meter reading area units, divide the pipe network area including multiple meter reading areas into meshes, The virtual demand of each mesh is calculated from the area ratio of each meter reading area occupied and the total demand, and the demand of the specific customer is assigned to a specific demand point associated in advance, and the virtual demand of each mesh is calculated. A demand allocation method, comprising summing up the demand amount from each mesh to a nearest demand point other than the specific demand point. 3. The demand allocation method according to claim 1, wherein the meter reading data uses customer data in meter reading area units that can be obtained from a charge calculation system. 4. The virtual demand d (i, j) in the mesh (i, j) according to claim 1, 2 or 3.
Is a demand allocation method for pipe network calculation obtained from the following equation, where the area Sn of the meter reading area n and the total demand Qn of the meter reading area n are as follows. ## EQU1 ## d (i, j) = （(Qn × (area of meter reading area n occupying mesh (i, j)) / Sn) where n = 1 to N. 5. A pipe network having a function of performing a pipe network analysis of a pipe network facility for supplying water or gas to a computer device having an input device including a central processing unit, a main storage device, an auxiliary storage device, and a display. In the calculation device, for each mesh obtained by dividing the pipe network region including a plurality of meter reading zones and demand points, the virtual demand for each mesh is calculated from the area ratio of each meter reading zone in the mesh and the total demand for each meter reading zone. A pipe network calculation device, comprising: demand allocation means for determining and allocating the virtual demand to a demand point closest to each mesh. 6. The large customer database according to claim 5, further comprising: a large customer database for managing a demand amount and a corresponding demand point for a specific large customer determined in advance. A demand network allocating demand points excluding the corresponding demand points. 7. The pipe network calculation device according to claim 5, further comprising a meter reading data file for taking in the demand amount of the customer in the meter reading area unit from meter reading data by a charge calculation system. 8. The pipe according to claim 5, further comprising a pipe network display means for identifying and displaying the mesh virtual demand by the demand allocating means on a mesh on a pipe network diagram. Network computing device.