WO2014141434A1

WO2014141434A1 - Facility design system, facility design method, and facility design program

Info

Publication number: WO2014141434A1
Application number: PCT/JP2013/057197
Authority: WO
Inventors: 賢司小泉; 信補高橋; 進吾足立
Original assignee: 株式会社日立製作所
Priority date: 2013-03-14
Filing date: 2013-03-14
Publication date: 2014-09-18

Abstract

[Problem] To minimize investment and operation costs through an entire design period extending over two or more years in designing the facility of a water distribution system. [Solution] A facility design system (100) is configured from: a storage device for holding at least data relating to constituent elements of a water distribution facility, and data relating to constraints on water distribution facility design; and an arithmetic-logic unit for executing a process for generating, on the basis of data relating to a water supply source, a customer facility, and a water distribution means included in the constituent element-related data, a pattern of a water distribution network linking between each of the water supply sources and customer facilities with the water distribution means, and a process for specifying, as facility design data, a water distribution network for which a total cost is minimum for each fiscal year from among the patterns of water distribution network, and storing the facility design data for an entire design period in the storage device, the specification being made on the basis of data on costs required for the introduction and operation of a prescribed constituent element included in the constituent element-related data, and data on a design period included in the constraint-related data, and on condition that a prescribed constraint included in the constraint-related data be satisfied between each fiscal year of a design period.

Description

Equipment design system, equipment design method, and equipment design program

The present invention relates to an equipment design system, an equipment design method, and an equipment design program, and more specifically, to a technology capable of minimizing investment and operation costs throughout a design period over a plurality of years when designing an equipment of a water distribution system.

In recent years, circulation of reclaimed water has attracted attention as a measure for saving water and drought. Reclaimed water is treated water produced by collecting sewage generated in a city once at a sewage treatment facility and subjecting it to appropriate sewage treatment to purify it. Reclaimed water is distributed to each facility for the purpose of flushing toilets and watering roads.

It is common to use pipelines to distribute various types of water such as recycled water. Moreover, in order to lay a pipeline, it is necessary to plan a layout design in advance and to design the laying position of the pipeline in advance. On the other hand, in the above design, there are various conditions such as pipe laying cost that varies depending on the laying location and material size, and the power consumption of the pump for water distribution that varies depending on the diameter, extension, and inclination of the pipe. It is necessary to consider together.

Therefore, as a design technology that optimizes cost in consideration of various conditions related to pipelines, supply sources, consumers, and pipeline candidates are input, and supply to all customers under hydraulic constraints. There has been proposed a method (Non-Patent Document 1) in which a pipeline connecting sources is selected and designed so that the overall investment cost and operation cost are minimized.

By the way, since actual pipe laying involves large-scale construction, it is necessary to set a design period in advance and design the laying schedule in addition to the pipe laying position within that period. However, in the above-described prior art, only the layout of the pipeline is determined so as to connect the supply source and the customer existing at a certain point in time, and it is not a method corresponding to the case where the design period extends over a plurality of years.

Therefore, when using the conventional technology to design for the entire design period over multiple years, it is necessary to repeat the design every year. However, the design results obtained in such a manner are intended to be optimized for each single year, and the design results are not necessarily optimal throughout the entire design period.

Therefore, an object of the present invention is to provide a technology capable of minimizing the cost of investment and operation throughout the design period over a plurality of years when designing the facilities of a water distribution system.

The facility design system of the present invention that solves the above problems includes a storage device that holds at least data relating to components of the water distribution facility and data relating to restrictions on the design of the water distribution facility, and a water supply source including data relating to the component , A process for generating a distribution network pattern for connecting each of the water supply source and the customer facility with the water distribution means based on the data on the customer facility and the water distribution means, and a predetermined configuration including the data on the components Based on the data of the cost required for the introduction and operation of the elements and the data of the design period included in the data related to the constraint, under the condition satisfying the predetermined constraint included in the data related to the constraint between each year of the design period, Among the distribution network patterns, the distribution network that minimizes the total cost for each fiscal year is identified as facility design data, and the facility design data for the entire design period An arithmetic unit for executing a process of storing in the storage device, characterized in that it comprises a.

In addition, in the facility design method of the present invention, an information processing device including a storage device that holds at least data relating to components of the water distribution facility and data relating to restrictions on the water distribution facility design includes the data relating to the component. Based on the data on the water supply source, the customer facility, and the water distribution means, a process for generating a distribution network pattern that connects the water supply source and the customer facility with the water distribution means, and data on the components are included. Based on the cost data required for the introduction and operation of the predetermined component and the data of the design period included in the data related to the constraint, the conditions satisfying the predetermined constraint included in the data related to the constraint between each year of the design period Originally, the distribution network with the lowest total cost is identified as the facility design data for each fiscal year among the distribution network patterns, and the facility design data for the entire design period is specified. And executes the process of storing data in the storage device.

In addition, the facility design program of the present invention includes, in an information processing apparatus including a storage device that holds at least data relating to components of the water distribution facility and data relating to restrictions on the water distribution facility design, the data relating to the component includes Based on the data on the water supply source, the customer facility, and the water distribution means, a process for generating a distribution network pattern that connects the water supply source and the customer facility with the water distribution means, and data on the components are included. Based on the cost data required for the introduction and operation of the predetermined component and the data of the design period included in the data related to the constraint, the conditions satisfying the predetermined constraint included in the data related to the constraint between each year of the design period Originally, the distribution network that minimizes the total cost for each fiscal year among the distribution network patterns is specified as facility design data, and the facilities for the entire design period are identified. A process of storing the total data in the storage device, characterized in that to the execution.

According to the present invention, when designing the facilities of a water distribution system, investment and operation costs can be minimized throughout the design period over a plurality of years.

It is a figure which shows the structural example of the equipment design system of this embodiment. It is a figure which shows the utilization relationship of a function part and data in the equipment design system of this embodiment. It is a figure which shows the function with which the automatic design part of this embodiment is provided. It is a figure which shows the function with which the manual design part of this embodiment is provided. It is a figure which shows the example of a data structure of the geographic information data of this embodiment. It is a figure which shows the example of a data structure of the construction candidate data of this embodiment. It is a figure which shows an example of the network in a water distribution system. It is a figure which shows the example of a data structure of the customer data of this embodiment. It is a figure which shows the example of a data structure of the constraint data of this embodiment. It is a figure which shows the example of a data structure of the numerical data of this embodiment. It is a figure which shows the data structure example of the network data of this embodiment. It is a figure which shows the example of a data structure of the equipment design data of this embodiment. It is a flowchart which shows the process procedure example 1 of the equipment design method of this embodiment. It is a flowchart which shows the process procedure example 2 of the equipment design method of this embodiment. It is a flowchart which shows process sequence example 3 of the equipment design method of this embodiment. It is a figure which shows the example of the network in the middle of a structure in this embodiment. It is a figure which shows the example of the network comprised in this embodiment. It is a flowchart which shows the process sequence example 4 of the equipment design method of this embodiment. It is a figure which shows the layout example of the network corresponding to the equipment design data calculated in this embodiment. It is a figure which shows the example of a calculation result by the equipment design method of this embodiment. It is a flowchart which shows the process sequence example 5 of the equipment design method of this embodiment. It is a flowchart which shows the process sequence example 6 of the equipment design method of this embodiment. It is a figure which shows the example of the user input format in this embodiment. It is a figure which shows the example of a screen display in this embodiment. It is a figure which shows the function with which the automatic design part of this embodiment is provided. It is a flowchart which shows the process sequence example 7 of the equipment design method of this embodiment.

--- Example 1 ---
Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of an equipment design system 100 according to the present embodiment, and FIG. 2A is a diagram illustrating a usage relationship between functional units and data in the equipment design system according to the present embodiment. The facility design system 100 shown in FIG. 1 is a computer system in which investment and operation costs can be minimized throughout the design period of a plurality of years when designing a water distribution system. The facility design in the present embodiment is defined as determining water distribution means (for example, pipelines, water trucks, etc.) and supply source specifications (positions, supply capacities, etc.) for satisfying the demand for reclaimed water at consumers. . Of course, the target for water distribution is not limited to reclaimed water, but includes various types of water and sewage in the concept.

The hardware configuration of the facility design system 100 in the present embodiment is as follows. The facility design system 100 reads into the memory 103 a storage device 101 composed of a suitable non-volatile storage device such as a hard disk drive, a memory 103 composed of a volatile storage device such as a RAM, and a program 102 held in the storage device 101. And at least a CPU 104 (arithmetic unit) that performs overall control of the system itself and performs various determinations, calculations, and control processes. The facility design system 100 is connected to an input device 105 such as a keyboard and a pointing device that receives instructions and data input from the user, a display device 106 such as a display that displays processing data, and an appropriate network, and is used by the user. It is preferable to provide a communication device 107 that performs communication processing with a terminal or the like.

The user input value received by the input device 105 is transmitted to the facility design control unit 10 described above. In this case, the facility design control unit 10 starts various processes by transmitting the above-described user input values to the automatic design unit 13, the manual design unit 12, or the display device 106.

In addition, the display device 106 draws a layout of allocation of connection points, satellites, customers, pipelines, and water trucks according to facility design data 117 described later, contents of the facility design data 117, and evaluation of the facility design data 117. The indicator will be displayed. The display device 106 displays an interface when the user edits the facility design data 117 by the function of the manual design unit 12 described later. In addition, the display device 106 displays an interface for receiving a user instruction regarding activation of the automatic design unit 13 or the manual design unit 12.

In the facility design system 100, as functional units implemented by executing the above-described program 102, a facility design control unit 10 that controls a manual design unit 12 and an automatic design unit 13 described later, and design condition data 110 are stored in the storage device 101. From the input device 105 or received from the input device 105 and stored in the memory 103, the manual design unit 12 for editing the equipment design data in accordance with the instruction from the user received by the input device 105, etc. There is an automatic design unit 13 that automatically executes processing. Data transmission between the functional units and between the functional units and the data storage device is performed via the BUS.

The automatic design unit 13 includes a network construction function 301, an automatic design function 302, a discharge pressure determination function 303, and a constraint violation determination function 304 as described in FIG. 2B. Moreover, the manual design part 12 has the equipment edit function 401, the water tank allocation edit function 402, the constraint violation determination function 403, and the input reception function 404 as described in FIG. 2C. Detailed processing of each function will be described later.

In addition, the storage device 101 of the facility design system 100 stores design condition data 110, network data 116, and facility design data 117 in addition to the program 102 described above. The design condition data 110 is a set of data such as preconditions and numerical information and constraints determined when the facility design system 100 calculates the facility design data. The geographic information data 111, the construction candidate data 112, the customer data 113, the constraints Data 114 and numerical data 115 are included. The network data 116 is a distribution network pattern generated by the automatic design unit 13 using the design condition data 110 and is data used as calculation conditions in the manual design unit 12 or the automatic design unit 13. The equipment design data 117 is data of equipment design results calculated and output by the manual design unit 12 and the automatic design unit 13.

Of these, the geographic information data 111 is composed of map data relating to the area where reclaimed water is supplied by the water distribution equipment to be designed, road data, and elevation data of intersections on the road. The table 31 in FIG. 3 is a table storing the start point and end point of each road, and the table 32 is a table storing the altitude data of the road intersection. Accordingly, each record in the table 31 has an ID for each road on the map, and the road extends from a certain intersection (eg, “Xr1”) that means the start point to a certain intersection (eg, “Yr1”) that means the end point. It shows that it is. Each record in the table 32 indicates that each intersection (eg, “Xr1”) has a predetermined elevation value (eg, “Ec1”) at the location where the intersection exists. In addition, although map data is not shown in FIG. 3, in the geographic information data 111, for example, it is assumed that general map data in which a road route map is described in a topographic map such as a river or a mountain is stored. .

Further, as shown in FIG. 4, the construction candidate data 112 includes a table 41 that stores pipeline candidate data, a table 42 that stores connection point candidate data, and a table 43 that stores satellite candidate data. ing.

The pipe candidate data is data indicating all candidate sites where the pipes can be laid out among the roads indicated by the geographic information data 111. Further, the connection point candidate data is data indicating all candidate sites on the map indicated by the geographic information data 111, where the connection points connecting the tubes can be arranged. The satellite candidate data is data indicating all candidate sites where the satellite processing plant can be constructed on the map indicated by the geographic information data 111.

Here, the satellite treatment plant (hereinafter simply referred to as satellite) is an intermediate facility that collects sewage from the sewage pipes before reaching the sewage treatment plant and performs sewage treatment. In this embodiment, the form which distributes the reclaimed water processed in the satellite to a consumer is assumed. Thus, satellites are a source of recycled water. However, since reclaimed water can be produced not only in satellites but also in sewage treatment plants, all the candidates for construction of sewage treatment plants on the map indicated by the geographic information data 111 as the satellite candidate data described above. Data indicating the ground, that is, sewage treatment plant candidate data may be used.

In such candidate data of the construction candidate data 112, for example, pipeline candidates are laid along each road indicated by the geographic information data 111, connection point candidates are set at road intersections, and satellite candidates are existing ones. It is assumed to be installed in a vacant lot along the pumping station and the sewer main line. Here, the pipe start point and the pipe end point in the pipe candidate table 41 correspond to a connection point candidate, a satellite candidate, or a customer.

FIG. 5 is an example in which the water distribution network pattern based on each candidate data described above is displayed on the display device 106 as the network 20. In the network 20 shown in FIG. 5, all broken lines indicate conduit candidates, white circles indicate connection point candidates, black squares indicate satellite candidates, and black circles indicate water consumers. Of course, each symbol in the network 20 shown in FIG. 5 is an example, and other symbols may be used for each component such as a pipe line candidate, a connection point candidate, a satellite candidate, and a customer. Although not shown in FIG. 5, a water supply vehicle can be adopted as a water distribution means in addition to the pipeline. The form in which this water supply vehicle is included in the water distribution network will be described later. A specific processing method for displaying the network 20 as shown in FIG. 5 on the display device 106 will also be described later.

Further, the customer data 113 is data of a customer to be distributed, which appears in an area where reclaimed water is supplied by the above-described water distribution facility to be designed. FIG. 6 shows an example of the table 51 included in the customer data 113. The table 51 in the customer data 113 includes a unique customer ID for each customer, coordinates on the map indicated by the geographical information data 111, altitude at this coordinate, demand for reclaimed water requested by the customer, It is a collection of records consisting of each value of the year of appearance.

By the way, in reality, a consumer does not always appear on a pipeline candidate. In that case, the facility design system 100 selects the connection point candidate closest to the coordinates at which the customer appears in the table 42 of the construction candidate data 112, and replaces the connection point candidate with the customer, thereby design condition data 110. To correct. The facility design system 100 corrects the customer's coordinates to be equal to the coordinates of the connection point candidate. At this time, the facility design system 100 deletes the connection point candidates that originally existed from the design condition data 110. Similarly, regarding the data of the pipe line candidates whose connection point candidates are the start point or end point of the pipe line, the pipe start point or the pipe end point is replaced from the original connection point candidate with the above-described consumer.

Further, the constraint data 114 includes, as “restrictions”, assumptions at the time of facility design, conditions to be satisfied by the results of facility design, and prohibited items for operation when facility design or distribution facilities are laid. FIG. 7 shows a table 61, a table 62, and a table 63 that constitute the constraint data 114.

Here, the above-mentioned “premise” is, for example, the design period meaning the execution period of facility design, or the number of satellites to be constructed based on the result of facility design. The table 61 in FIG. 7 indicates that the design period is 20 years.

Moreover, the above-mentioned “conditions to be satisfied” are, for example, the minimum and maximum allowable water pressure at the customer or the connection point, the maximum value of the flow velocity in each pipeline, the flow rate that can be supplied from one satellite, This is the balance between the inflow and outflow of reclaimed water at the customer and connection points. In the example of the table 62, the minimum value of the allowable water pressure is “15”, the maximum value is “75”, the maximum value of the flow velocity in each pipeline is “3”, and the flow rate that can be supplied from the satellite is “1000”. It is shown that.

The above-mentioned “prohibited items for operation” includes, for example, “laying a pipeline from a supply point by a water truck” as shown in the table 63. Although details will be described later, since the allocation of pipelines and water trucks is represented by edges on the network serving as a water distribution network, the above-mentioned prohibited items are equivalent to prohibiting the construction of a network having a specific shape. In addition, the restriction on the laying of pipelines in the design period, such as not removing pipelines from the previous year's distribution network in order to construct a distribution network for a given year, is also included in the “operational prohibitions”.

The numerical data 115 is data for calculating edge weights to be described later. As shown in FIG. 8, the numerical data 115 is composed of unit cost values such as a laying cost per unit length of a certain pipeline, a fuel cost per unit moving distance of a water truck, and a driver labor cost. Yes.

Further, the network data 116 is a distribution network pattern, that is, network data, which is constructed by the automatic design unit 13 described later by executing the network construction function 301. The network data 116 includes tables 71A (vertex table) to 71B storing information on each vertex of the water distribution network in each year of the design period described above, and a table 72A (edge) storing information on each side of the water distribution network. Table) to 72B. Here, a customer, a connection point candidate, and a satellite candidate are set as the vertices of the network serving as the water distribution network, and the pipeline candidate and the water supply vehicle allocation are defined as the sides of the network serving as the water distribution network.

The table 71A and the table 72A are tables for the first year in the design period, and the table 71B and the table 72B are tables for the second year. Although omitted, the network data 116 holds a table for the 3rd year in the design period, a table for the 4th year, and so on, as well as a table for all the years in the design period. Only 71A and table 72A will be described.

The above-described table 71A is a collection of records that hold the vertex ID, coordinates, and elevation of each vertex as values. Similarly, the table 72A is a collection of records that hold the side ID, start point, and end point of each side as values. The “edge weight” is used as the cost of the pipeline (CPp) or the cost of the water supply vehicle (CCc) when the automatic design unit 13 formulates the mathematical programming problem. (Details will be described later). Here, the ID of each vertex and each side described in the table 71A and the table 72A corresponds to each name of the corresponding part in the network 20 shown in FIG.

Also, the equipment design data 117 is equipment design result data calculated by the automatic design unit 13 described later. FIG. 10 shows an example of the facility design data 117. The equipment design data 117 is a table 81 (vertex) configured by the automatic design unit 13 selecting, from the network data 116, records corresponding to connection points, satellites, pipelines, and water truck candidates that are actually arranged. Table) and table 82 (side table). Note that a discharge pressure column is added to the table 81 (vertex table), and a flow rate column and a pipe diameter column are added to the table 82 (side table).

The above-described table 81 is an example of a vertex table that holds the values of each vertex in one year in the design period. In this table 81, each vertex corresponds to a connection point, a satellite, or a customer. Among the records in the table 81, those including the vertex ID, coordinates, and elevation as values are related to “connection points”, and those including the vertex ID, coordinates, elevation, and discharge pressure as values are related to “satellite”. Yes, those including the vertex ID, coordinates, altitude, and demand as values are related to “customers”. In addition, for example, information that can be used for pipe network calculation such as water pressure may be included in the record.

Here, the discharge pressure means the discharge pressure of a water distribution pump that operates when supplying reclaimed water from a satellite treatment plant using a pipeline. Since it is a value that needs to be considered in order to distribute water to consumers while satisfying the above-described restrictions, it may be rephrased as the capacity of a necessary water distribution pump.

On the other hand, the table 82 is an example of a side table that holds values of each side of the same year as the table 81 described above. In this case, each side indicates a pipe line or a water truck allocation. For pipe line and water tank allocation, each value of the side start point, side end point, side weight, flow rate, and pipe diameter is recorded using the side ID as a key. The edge weight is a value that is used as the cost of the pipeline or the cost of the water supply vehicle when the automatic design unit 13 formulates the mathematical programming problem, which will be described later. In addition, information that can be used for pipe network calculation, such as the flow rate of water in the pipe, may be included in the record of the table 82.

In addition, each value of the discharge pressure mentioned above and a flow rate becomes a value for calculating the operation cost of water distribution equipment, for example, stores the average value per hour. However, an average value per hour may be stored for 24 hours in order to perform more precise calculation. Further, in order to estimate the upper limit of the capacity of the pipe line or the pump, for example, a maximum value throughout the year may be stored.

Although omitted as in the case of the network data 116, the facility design data 117 is assumed to be composed of a vertex table 81 and an edge table 82 for all years in the design period. In the example shown in FIG. 10, the network 83 is included as the equipment design data 117. The network 83 is layout data for displaying the configuration of the water distribution network based on the values in the table 81 and the table 82 described above. In this network 83, a single arrow is an example of a symbol representing a pipe line, and a double arrow is an example of a symbol representing a water truck assignment.

Subsequently, the actual procedure of the facility design method in this embodiment will be described with reference to the drawings. Various operations corresponding to the facility design method described below are realized by a program 102 that the facility design system 100 reads into the memory 103 and executes. The program 102 is composed of codes for performing various operations described below.

FIG. 11 is a flowchart showing a processing procedure example 1 of the facility design method in the present embodiment. The facility design control unit 10 operates according to the flowchart. Prior to this flow, the input device 2 receives a start instruction from the user, or the arrival of a predetermined time is detected by a clock function or the like provided in the equipment design system 100 that is an information processing apparatus, and the equipment design system 100 designs the equipment. It is assumed that the control unit 10 has been activated. In this case, the facility design control unit 10 transmits a signal instructing the data receiving unit 11 to receive the design condition data 110 (201).

On the other hand, the data receiving unit 11 that has received the above signal reads the design condition data 110 from, for example, the storage device 101 or receives it from the input device 105 and stores it in the memory 103 of the facility design system 100. In addition, the facility design control unit 10 of the facility design system 100 receives an activation instruction for the automatic design unit 13 or the manual design unit 12 from the user via the input device 105 (211), and the automatic design unit 13 based on the activation instruction. Alternatively, one of the manual design units 12 is activated (221).

At this time, when the above-described start instruction is for instructing “start of the automatic design unit 13” (221: automatic), the facility design control unit 10 starts the automatic design unit 13 and calculates the facility design data. Execute (231). Detailed processing contents at this time will be described later. The facility design control unit 10 that has performed the calculation of the facility design data transmits the calculated facility design data to the display device 106 and displays it on the display device 106 (241). Thereafter, the facility design control unit 10 returns the step to the process (211) and stands by.

On the other hand, when the above-described activation instruction is an instruction for “activation of the manual design unit 12” (221: manual), the facility design control unit 10 activates the manual design unit 12 to edit the facility design data. Etc. are executed (251). The detailed processing contents here will be described later. The facility design control unit 10 that has performed the editing process of the facility design data transmits the data such as the editing result to the display device 106 and displays it on the display device 106 (241). Thereafter, the facility design control unit 10 returns the step to the process (211) and stands by.

Subsequently, processing (231) in the flow of FIG. 11, that is, processing executed by the automatic design unit 13 will be described. The processing contents of the automatic design unit 13 are as shown in the flowchart of FIG. The automatic design unit 13 generates facility design data 117 by executing each process and function in this flowchart.

In this case, the automatic design unit 13 reads the design condition data 110 of the storage device 101 and stores it in the memory 103 (310). Next, the automatic design unit 13 executes the network construction function 301, constructs network data 116 according to the flowchart shown in FIG. 13, and stores it in the storage device 101.

Further, the automatic design unit 13 executes the automatic design function 302 and the discharge pressure determination function 303, and based on the network data 116 recorded in the storage device 101, the evaluation index, that is, the total cost (investment and operational costs related to water distribution equipment). ) Is calculated and stored in the storage device 101 so as to optimize (minimize in the case of cost).

Next, the automatic design unit 13 executes the constraint violation determination function 304 and determines whether the facility design data 117 satisfies operational constraints. If the facility design data 117 satisfies operational restrictions (350: YES), the automatic design unit 13 ends the process. On the other hand, when the facility design data 117 does not satisfy operational restrictions (350: NO), the automatic design unit 13 executes a process (360) described later and returns the process to the step of executing the network construction function 301. .

Subsequently, processing in the network construction function 301 in the automatic design unit 13 described above will be described. FIG. 13 is a flowchart showing a processing procedure example 3 of the facility design method of the present embodiment. In this case, the network construction function 301 of the automatic design unit 13 reads the design condition data 110 from the data reception unit 11 and inputs it in the process (311).

Next, in the process (321), the network construction function 301 determines 1 as the value of the variable t representing the year that constitutes the design period. The design period value includes the constraint data 114 in the design condition data 110.

The network construction function 301 uses the design condition data 110 obtained in the above-described processing (311) as an input in order to construct a network in the fiscal year t in the processing (331) and the processing (341), and appears by the fiscal year t. The candidate (extracted from the construction candidate data 112), the candidate connection point (extracted from the construction candidate data 112), and the satellite candidate (extracted from the construction candidate data 112) as apexes. 9), the vertex table and the side table shown in FIG. 9 described above, that is, the network data 116 for the year t, are generated with the water tank allocation candidate (extracted from the construction candidate data 112) as the side.

At this time, if the customer data 113 includes data of a customer who does not appear by the year t, the network construction function 301 is an alternative in which the demand is “0” at the same coordinates as the customer. A connection point candidate is generated and set as a vertex of the network 116. For example, the vertex “Jd1” of the vertex table 71A in FIG. 9 is an alternative connection point candidate generated at the same coordinates as the customer in order to build a network even in a year in which the customer “D1” has not yet appeared. It is.

The network 601 shown in FIG. 14 is an example of a water distribution network, that is, a network constructed from a consumer, a connection point candidate, a satellite candidate, and a pipeline candidate generated by the above-described processing (331). The names of connection points, pipeline candidates, consumers, and satellites shown in the network 601 in FIG. 14 are the same as those in the network 20 already shown in FIG.

In the process (331), the network construction function 301 includes, in the design condition data 110, “connection point candidate ID, coordinate, altitude”, “satellite candidate ID, coordinate, altitude”, “ 9) Output the vertex table based on "customer ID, coordinates, altitude, demand" and output the side table shown in FIG. 9 based on "pipe candidate ID, pipe start point, pipe end point" Become.

Further, the network construction function 301 in the processing (331) calculates the weight of each side representing the pipeline candidate in order to calculate the investment and operation costs related to the water distribution facility. The weight of the side is a cost consisting of a pipe purchase cost and a laying work cost required for laying the pipe, that is, a laying cost. This laying cost can be calculated, for example, by the product of the distance of the pipe p (which can be calculated from the coordinates of the side start point and the side end point) and the pipe laying cost per unit length held in the numerical data 115.

Subsequently, in the process (341), the network construction function 301 constructs a network including water truck allocation candidates. In this case, the network construction function 301 generates an edge with the satellite candidate as the start point and the consumer as the end point among all the satellite candidates and consumers, and obtains it as a water tank allocation candidate. The network construction function 301 additionally outputs the data of each side generated in this way to the side table shown in FIG.

Further, the network construction function 301 calculates the weight of each side representing the water tank allocation candidate in order to calculate the cost in the above-described process (341). The weight of the side is the sum of the cost required for the introduction of the water supply vehicle and the operation cost such as the labor cost and fuel cost of the water supply vehicle driver. The distance traveled by the water truck can be calculated from the corresponding road data recorded in the geographic information data 111. The network construction function 301 includes the product of the travel distance of the above-mentioned water truck and the fuel cost per unit travel distance of the water truck retained by the numerical data 115, the labor cost per unit time retained by the numerical data 115, and the above-mentioned The operation cost is calculated from the product of the travel distance and the travel time when the water truck moves.

A network 612 illustrated in FIG. 15 is an example of a network generated by the network construction function 301 from the vertex table and the side table for one year in the design period obtained in the above-described processing (331) and processing (341). . However, in order to simplify the drawing, in the network 612, the sides representing the water tank allocation candidates are described only from the satellite “S3”, and the sides representing the other water tank allocation candidates are omitted.

On the other hand, the network 622 and the network 632 are examples of networks generated from the tables obtained by the processing (331) and the processing (341) by the network construction function 301, similarly to the network 612 described above. Among these, the network 622 indicates a network in the second year of the design period, and the network 632 indicates a network in the final year.

Here, the description returns to the flow of FIG. In the process (351), the network construction function 301 determines whether the networks for all the years in the design period have been constructed. Here, when the network of all the years of the design period is not constructed (351: NO), the network construction function 301 adds 1 to “t” in the process (361), and the step is performed in the process (331). Return and re-execute the subsequent processing. On the other hand, when the network of all years of the design period has been constructed (351: YES), the network construction function 301 stores the network data 116 of all years in the storage device 101 in the process (371) and performs the process. finish.

As described above, the network data 116 includes a vertex table and an edge table (for example, the tables 71A, 72A, 71B, and 72B in FIG. 9). Although not shown in FIG. 9, it is assumed that, as network data 116 in the storage device 101, apex tables and edge tables in each year within the design period exist after the tables 72 </ b> A and 72 </ b> B. Moreover, although the example which builds the network data 116 in order from the 1st year of a design period to the last year was shown as the network construction function 301, there is no restriction | limiting in the construction order of the network data 116, and it builds in order of arbitrary years As good as

Subsequently, the automatic design function 302 in the automatic design unit 13 will be described. The automatic design function 302 is a function that receives the network data 116 stored in the storage device 101 and calculates the equipment design data 117 and stores it in the storage device 101.

The automatic design function 302 of the automatic design unit 13 is designed by using an algorithm corresponding to a predetermined mathematical programming method (a corresponding program is stored in the storage device 101 in advance as part of the automatic design function 302). Calculate facility design data that minimizes the total cost of the water distribution facility to be designed over the entire period. Specifically, the pipeline used for water distribution to the consumer, water supply vehicle allocation, and the satellite position are determined.

As already mentioned, when designing the equipment, it is necessary to determine the laying position of the pipeline that connects the customer and the supply source. Moreover, when handling a water supply vehicle as another water distribution means, it is also necessary to determine allocation of the water supply vehicle to a consumer. In addition, as a situation peculiar to the satellite, it can be mentioned that the arrangement in the city is relatively free due to its small size as compared with conventionally used facilities such as water purification plants and sewage treatment plants. Therefore, in order to calculate the optimum facility design data 117, it is necessary to determine the position of the satellite at the same time as the assignment of the pipeline and the water supply vehicle.

As an approximate solution for obtaining the optimum equipment design data 117, in this embodiment, it is assumed that the automatic design function 302 determines the equipment design data 117 every year of the design period. In this case, each process in the automatic design function 302 executed by the automatic design unit 13 will be described in detail with reference to FIG.

In this case, the automatic design function 302 of the automatic design unit 13 reads the value of the design period held in the constraint data 114 in the storage device 101 and the network data 116 in the process (312). Subsequently, in the process (322), the automatic design function 302 determines the year in which the facility design is first performed as the final year in the corresponding design period.

Next, the automatic design function 302 sets “t” as the final year determined in the above-described process (322), and inputs the vertex table and the edge table of the t-year in the network data 116 in the process (332). The optimum facility design data 117 is calculated with respect to the evaluation index in year t.

Here, in order to formulate the calculation of the facility design data 117 described above as a mathematical programming problem, the automatic design function 302 actually sets the pipeline candidate p connecting the vertices i to j in the network data 116 in the t-year. Variables xp, t are defined to be “1” if adopted as a pipeline and “0” if not adopted. It is assumed that the automatic design function 302 includes a program corresponding to a processing algorithm for formulating such a mathematical programming problem.

Similarly, in the t-year, the automatic design function 302 sets the variable yc, t to be “1” if the water supply vehicle allocation candidate c is adopted as a means for distributing water from the satellite candidate s to the customer d and “0” if not adopted. Define In addition, the automatic design function 302 defines variables zs and t that are “1” if satellites are arranged in the satellite candidate s in year t, and “0” if they are not arranged.

The automatic design function 302 having made such a definition specifies an evaluation index by the following expression.

The automatic design function 302 determines all xp, t, yc, t, zs, t values so as to minimize the evaluation index of Formula 1 after satisfying the constraints described later, and the facility design data 117. Get. The first term of the evaluation index represents the sum of the laying cost of the pipeline (equal to the side weight of the pipeline), and the second term is the cost of all water trucks (sum of introduction and operation costs, the water truck) Represents the sum of the side weights of the allocation candidates). The evaluation index is the sum of both. Note that zs and t are not included in the evaluation index, but are used as constraint expressions when formulating the mathematical programming problem.

Here, Et ′ is a set of all pipeline candidates in the side table of network data for year t, and Et ″ is a set of all water tank allocation candidates in the side table of network data for year t.

CPp is the laying cost (for example, the side weight of the table 72A in FIG. 9) when laying the pipe line p connecting the vertex i and the vertex j, and is given in consideration of the distance, for example. CCc means the cost of the water supply vehicle in the allocation of the water supply vehicle from the satellite s to the customer d (example: edge weight of the table 72A in FIG. 9).

The automatic design function 302 determines the values of xp, t, yc, t, and zs, t by applying a mathematical optimization method such as mixed integer programming, for example.

In the calculation in the automatic design function 302, as described with reference to the table 63 of FIG. 7, there is a restriction that prohibits the distribution of water to other consumers via the consumers distributed by the water truck. Specifically, when describing a certain satellite s, a certain customer d, a certain vertex j, and a certain t year, if yc, t = 1, xp, t = 0 must be satisfied. However, c here is a water supply allocation candidate with d as the end point, and p is a pipe line candidate with d as the start point. In addition, the automatic design function 302 expresses each constraint held by the constraint data 114 as a constraint expression and uses it during calculation.

Returning to the description of the flow in FIG. The automatic design function 302 determines whether the facility design has been performed in all years in the process (342) after calculating the facility design data (corresponding to the network 643 in FIG. 17) in the final year t. When the result of the determination here is that the equipment design has been performed for all the years (342: YES), the automatic design function 302 stores the equipment design data 117 in the storage device 101 in the process (372).

On the other hand, when the result of the determination in the process (342) is that equipment design is not performed for all years (342: NO), the automatic design function 302 uses the equipment design data 117 in the process (352). 1 is subtracted from the year t to be calculated, and in the process (362), a constraint for limiting the laying position of the pipeline is added to the constraint data 114.

Specifically, the place where the pipeline is not laid in year t is a restriction prohibiting the laying of the pipeline in year t-1, and if xp, t = 0 when considering a certain channel p and year t For example, xp, t-1 = 0. This is because the pipeline once laid is not removed during the design period. The same applies to the variables zs and t representing the satellite arrangement. If zs and t = 0, zs and t-1 = 0 must be satisfied.

Thus, the automatic design function 302 to which the constraint is added returns the step to the process (332), and executes the calculation of the equipment design again. As a result of this calculation, facility design data for the year set in the process (352) is obtained in the same manner as described above.

In this way, the automatic design function 302 sequentially calculates the equipment design data 117 while going back from the last year to the first year in the design period, and at the end of the flow, all the equipment design data 117 from the last year to the first year of the design period. Is stored in the storage device 101. FIG. 17 shows a display example of the network 633,..., The network 623, and the network 613 corresponding to each facility design data 117 from the last year to the first year.

The table 84 shown in FIG. 18 is a value of each variable corresponding to the allocation of pipelines and water trucks in one year calculated by the automatic design function 302 in the process (332), and is stored in the memory 103. Become.

The automatic design function 302 configures facility design data 117 from the variables xp, 1 and yc, 1 included in the table 84 described above. Specifically, each variable having a value of “1” is composed of a corresponding p or c side start point and side end point. The design data 117 configured by the automatic design function 302 includes each value excluding the discharge pressure of the vertex table and each value excluding the flow rate of the side table (both values are the discharge values described later). Determined in the process of the pressure determination function 303).

The automatic design function 302 generates network display data corresponding to the equipment design data 117 by referring to the coordinates of each vertex and the start and end points of each side from the equipment design data 117 calculated as described above. For example, it can be output by the display device 106 in the form of the network 83 in the facility design data 117 described above.

In the above description, the automatic design function 302 calculates the facility design data 117 that minimizes the sum of the investment cost and the operation cost related to the water distribution facility. However, different facility design data is calculated by changing the evaluation index and constraints. can do. For example, by adding a constraint that limits the value of the sum of CPp × xp, t in a certain year t to an appropriate constant C (that is, the sum of the laying costs of pipes in year t is C at most) It is possible to calculate facility design data that sets the upper limit of investment in each year.

Subsequently, processing of the discharge pressure determination function 303 provided in the automatic design unit 13 will be described. The automatic design unit 13 uses the discharge pressure determination function 303 to input the facility design data 117 and determines the discharge pressure of the water distribution pump of each satellite. At that time, the automatic design unit 13 performs pipe network calculation in the discharge pressure determination function 303, and simultaneously obtains the flow rate of the pipe line at the determined discharge pressure to update the facility design data 117.

FIG. 19 is a flowchart when the automatic design unit 13 executes the discharge pressure determination function 303 to determine the above-described variables. It is assumed that the flow rate in the water supply vehicle allocation is equal to the demand amount of the consumer located at the end point of the water supply vehicle allocation and is not considered in the discharge pressure determination function 303.

First, the discharge pressure determination function 303 of the automatic design unit 13 reads the restriction data 114 of the storage device 101 and the equipment design data 117 stored by the automatic design function 302 and writes them in the memory 103 in the process (313).

Next, the above-described discharge pressure determination function 303 performs a formulation for determining the discharge pressure by optimization calculation in the process (323). Needless to say, the discharge pressure determination function 303 includes a program corresponding to the algorithm for the formulation in advance. In this case, for example, for the above-mentioned formulation, the discharge pressure determination function 303 sets the discharge pressure of the water distribution pump in the satellite s in year t to the variables hs, t, and the flow rate of the pipe p connecting the vertex i and the vertex j. Variables fp and t are defined. In addition, the discharge pressure determination function 303 defines the pipe diameter of a certain pipe line p as a variable up. The variable up is a discrete variable whose value is determined by selecting from a set of numerical values given in advance. For example, the variable up is selected from nominal diameters of 75 mm, 150 mm, 250 mm, and 350 mm. A set of numerical values used as such tube diameters is recorded in numerical data 115 in the storage device 101. However, the variable up may be a real variable having a value greater than zero.

Also, each satellite s and pipeline p are each satellite and each pipeline recorded in the facility design data 117 read from the storage device 101 by the discharge pressure determination function 303 in the above.

In the above variables, the flow rates fp, t are defined for the calculation of the operation cost described later. Moreover, since the discharge pressure of the pump changes depending on each pipe diameter, it is defined as a variable so that the pipe diameter is determined simultaneously.

In such a case, the discharge pressure determination function 303 performs optimization calculation in the process (333). In this optimization calculation, the pipe pressure is calculated at the same time as calculating the discharge pressure, and the flow rate in each pipeline is calculated. The optimization calculation is performed by applying a metaheuristic such as a genetic algorithm (of course, the discharge pressure determination function 303 includes a program for this). The discharge pressure determination function 303 determines the values of the variables hs, t, and up so that the following evaluation index is minimized while satisfying the constraint conditions described later in the above optimization calculation.

Here, Et ′ ″ is a set of all the pipelines in the facility design data 117 read from the storage device 101 by the discharge pressure determination function 303 in the process (313), and S is all the satellites in the vertex table. It is a set.

In addition, the first term in Formula 2 represents the total operating cost of the distribution pumps of each satellite. The operation cost is represented by f (hs, t) when the discharge pressure of the water distribution pump of the satellite s is hs, t in year t. In the optimization calculation here, since the network shape of each year is fixed, an optimal discharge pressure may be obtained for each year.

Here, let ps be all the pipes starting at satellite s, and let fps, t be the flow rate in pipe ps obtained as a result of the pipe network calculation.

In addition, the operation cost includes the discharge pressure Ht (= hs, t) of the satellite s in year t, the flow rate flowing out from s (calculated by [Equation 3]), the constant η representing the efficiency of the pump, and Using the appropriate factor C, it is calculated as follows:

f (hs, t) = C × Ht × Qt / η

The second term in the above formula represents an increase in the laying cost of the pipe line corresponding to the pipe diameter, which is not considered in the automatic design function 302. αup is a coefficient corresponding to the tube diameter, and numerical data 115 is recorded. Here, the laying cost of the pipe line p whose pipe diameter is up can be expressed by αup × CPp. Since the automatic design function 302 adds the laying cost CPp corresponding to the distance of the pipe line p to the evaluation index, the discharge pressure determination function 303 adds only the amount depending on the pipe diameter.

The constraints include, for example, the minimum and maximum allowable water pressure at the customer or connection point, the maximum flow velocity at each pipeline, the flow rate that can be supplied from one satellite, and the reclaimed water at the customer and connection point. The balance of inflow and outflow can be mentioned.

Note that the calculation of the pipe network is a general technique, so the explanation is omitted. In the pipe network calculation, the pipe diameter of each pipe p is set to the up determined by the discharge pressure determination function 303 in the above optimization calculation. In addition, for example, a general value “110” is set as the flow velocity coefficient indicating the ease of flow through the pipeline.

Next, in the process (343), the discharge pressure determination function 303 additionally writes the discharge pressure of the pump of the satellite s determined in the above process (333) as the value of the discharge pressure in the facility design data 117 of the storage device 101, In addition, the value of each fp, t is added as the value of the flow rate in the pipeline, and the process is terminated.

Next, the constraint violation determination function 304 provided in the automatic design unit 13 will be described. The automatic design unit 13 determines in the constraint violation determination function 304 whether the facility design data 117 calculated above violates the constraints held by the constraint data 114. Examples of constraints include the minimum and maximum water pressure at the customer and the connection point, the maximum flow velocity at each pipeline, the maximum flow rate that can be supplied from the satellite, and the inflow of reclaimed water at the customer and connection point. Satisfying the balance of runoff. The water pressure and flow velocity are obtained by the discharge pressure determination function 303 of the automatic design unit 13 in the pipe network calculation in the above-described process (323).

In this case, in the flow shown in FIG. 12, in the process (350), the automatic design unit 13 determines that the calculated facility design data 117 satisfies the constraint indicated by the constraint data 114 from the determination result by the constraint violation determination function 304. To determine. When the facility design data 117 does not satisfy the constraint indicated by the constraint data 114 (350: NO), the automatic design unit 13 identifies the cause of the corresponding determination result in the process (360), for example, the number of satellites The restriction data 114 is additionally corrected, for example, by increasing (this makes up for a shortage of satellite supply capability).

The reason why the facility design data 117 cannot satisfy the constraints of the constraint data 114 is, for example, that the satellite exists in a low place (if the water is distributed from a low place to a high place, the minimum value and the maximum value of the water pressure may not be satisfied simultaneously. Or a lack of satellite supply capacity (may be supplied to more customers than supply capacity).

After the execution of the process (360), the automatic design unit 13 executes the network construction function 301 and executes the calculation of the equipment design data again. If the automatic design unit 13 determines that the facility design data 117 satisfies the constraint indicated by the constraint data 114 in the above-described process (350) (350: YES), the process automatically ends.

The above is the processing details when the automatic design unit 13 executes the processing. In the above description, it is assumed that there is no existing facility consisting of existing connection points, satellites, and pipelines. However, by adding the following constraints to the constraint data 114, the automatic design unit 13 can perform the facility design in the same manner when the facility is expanded when an existing facility exists. That is, it is assumed that the constraint data 114 records a constraint meaning that an existing facility exists. For example, when there is an existing pipe line p ′, there is a constraint that the value of the variable xp ′, 1 relating to p ′ is “xp ′, 1 = 1”.

Moreover, in the above, the example which the automatic design part 13 calculated the equipment design data 117 which becomes the minimum cost through several years in a design period was shown. However, it is also expected that shake will occur within the design period, for example, when the consumer stops using the reclaimed water at an unexpected timing. Such a blur may be dealt with by adding a predetermined constraint to the constraint data 114. For example, the constraint data 114 holds the constraint that a water truck is always allocated to a consumer who is expected to stop using recycled water, so that the influence when the number of consumers decreases can be considered.

Subsequently, the processing when the manual design unit 12 starts processing after the processing 221 of the flow in FIG. 11 will be described. FIG. 20 is a flowchart of processing executed by the manual design unit 12. In the processing (701) and processing (711), the manual design unit 12 executes the input reception function 404, receives input from the user via the input device 105, and records it in the memory 103. Thereafter, the manual design unit 12 edits the equipment design data 117 by executing

functions

401 and 402 described later in accordance with the input obtained in the above-described processing (701).

Here, “edit” means either deleting a vertex table or a side table row of the equipment design data 117 in the storage device 101, adding a row to either table, or both tables. It is defined as rewriting the value of the row. Each

function

401, 402, 403 will be described later.

The manual design unit 12 having undergone the processes of the

functions

401 and 402 determines whether or not to continue editing in the process (721). When the input device 105 receives an instruction to continue editing from the user (721: NO), the manual design unit 12 executes each step from the processing (701) again to activate each editing function.

On the other hand, in the process (721), when an instruction to end editing is received by the input device 2 (721: YES), the manual design unit 12 determines whether there is a constraint violation in the process (731). In this process (731), the manual design unit 12 calls the constraint violation determination function 403, compares the facility design data 117 edited by executing the

function

401 or 402 with the constraint data 114, and edits the facility design after editing. It is determined whether the data 117 does not violate the constraint content indicated by the constraint data 114.

In this determination, when it is determined that there is no constraint violation in the edited equipment design data 117 (731: NO), the manual design unit 12 stores the edited equipment design data 117 in the storage device 101 in the process (741). Record and finish the process.

On the other hand, when it is determined that there is a constraint violation in the edited equipment design data 117 (731: YES), the manual design unit 12 notifies the display device 106 that the violation contents and re-editing are necessary. Send it for display and ask the user to re-edit.

こうした Such constraint violation occurs in the following cases, for example. Consider a case where the pipeline “P10” of the network 83 is deleted by the function 401. If the process is terminated as it is, there is no means for distributing water to the customer “D7”. Therefore, the manual design unit 12 transmits a signal to the display device 106 so as to display the content that is a violation of the constraint, and prompts the user to input again about the pipeline.

Subsequently, each editing function in the manual design unit 12 will be described in detail. The manual design unit 12 activates the function according to the input obtained from the user in the above-described process (711), and starts the process. FIG. 21 is an example of an input screen 90 presented to the user on the display device 106 for the editing described above. In the input screen 90 shown in FIG. 21, an input format 91 is an example of an interface for inputting edit data when a user edits a side. The side ID, type (pipeline or water supply vehicle) to be edited, operation (Deletion or addition or rewriting), edge start point, edge end point, and flow rate are accepted. The input format 92 is an example of an interface for inputting edit data when the user edits a vertex. Similarly, the vertex ID to be edited, the type (connection point, satellite, or discharge pressure), operation, post-editing Accepts input of coordinates, altitude and discharge pressure. Although the vertex table includes customer data, the customer data cannot be edited because the input is given as the design condition data 110.

When the input for editing by the user is an input for editing a pipe line, a connection point, or a satellite, the manual design unit 12 executes the equipment editing function 401 to execute the above-mentioned edge in the equipment design data 117. The line corresponding to the ID or vertex ID is changed or updated according to the user input. Here, when the discharge pressure in the satellite is edited by the user, the flow rate of each pipeline, the pressure at the connection point, and the like change. Therefore, the manual design unit 12 performs pipe network calculation in the equipment editing function 401, updates the equipment design data 117, and outputs it to the storage device 101.

Further, when the input for editing by the user is information on water tank allocation, the manual design unit 12 executes the water tank allocation editing function 402, and sets the side ID and vertex ID in the equipment design data 117 in the same manner as described above. Change or update the corresponding row. For example, in the process of deleting the side having the side ID “P10” shown in the table 82 of FIG. 10, the input device 105 has been input by the user as “P10, pipeline, delete, J4, D7, Fp10, Up10”. When executed. At this time, the manual design unit 12 activates the equipment editing function 401 from the character string “Pipe” and deletes the row of the side table in the equipment design data 117 from the character strings “Pipe” and “Delete”. Judged to be an operation.

Subsequently, a screen configuration and the like displayed on the display device 106 will be described. The display device 106 is display data sent from the facility design system 100, for example, an interface for allowing the user to start the automatic design unit 13 or the manual design unit 12, and a network layout corresponding to the facility design data 117. (Data for displaying the layout of allocation of connection points, satellites, customers, pipelines, and water supply vehicles), each data included in the equipment design data 117, and evaluation indexes calculated by the equipment design system 100 (cost in each year of the design period ) Is displayed. Further, the display device 106 displays an interface when the user operates the facility editing function 401, the water tank assignment editing function 402, and the constraint violation determining function 403 included in the manual design unit 12.

FIG. 22 is a diagram showing a configuration example of a display screen 500 displayed on the display device 106. The display screen 500 includes an equipment design layout display section 501, an equipment design data display section 502, an evaluation index display section 503, an interface section 504, and a year switching button 505 (year instruction receiving section). The facility design system 100 determines the display position of each connection point, satellite, customer, pipeline, and water truck assignment from the coordinates of each vertex included in the facility design data 117, and displays the display data on the display device 106. It is generated and displayed on the equipment design layout display unit 501.

In this case, for example, the facility design system 100 reads the table 81 (vertex table) in the facility design data 117 of FIG. 10 and acquires the record of the vertex “S3” held by the table 81. Since S3 has Xs3 and Ys3 as coordinates, data for displaying satellite symbols (black square icon data) at coordinate points corresponding to Xs3 and Ys3 in the coordinate space of the facility design layout display unit 501 is generated.

Similarly, the facility design system 100 acquires each record of the vertex “D6” and the vertex “D7” recorded in the table 81 described above. Here too, as in the case of S3 described above, a customer symbol (black circle icon data) at the coordinate point corresponding to each coordinate Xd6, Yd6 and Xd7, Yd7 in the coordinate space of the facility design layout display unit 501. Generate data to display.

Similarly, the facility design system 100 reads out the coordinates of “Jd8”, “J3”, and “J4” representing the connection points from the table 81 and corresponds to each coordinate in the coordinate space of the facility design layout display unit 501. Data for displaying a symbol (white circle icon data) at a coordinate point to be generated is generated.

Next, the facility design system 100 generates data for displaying the sides connecting the vertices for which the display data has been generated as described above. At this time, the facility design system 100 reads the record of the side “P9” recorded in the table 82 described above. Since the side start point is J3 and the side end point is J4 in P9, the facility design system 100 determines that the line connects J3 and J4 that have already generated display data. After this determination, the facility design system 100 generates data for displaying the pipeline with, for example, a single arrow so as to connect the two. The facility design system 100 similarly processes the sides “P10”, “P13”, and “P16” representing the pipelines recorded in the table 82, and generates display data.

Next, the facility design system 100 reads a record of “C1” that is recorded in the table 82 and that represents the allocation of the water truck. Also for C1, as in P9 described above, the facility design system 100 generates data for displaying a side so as to connect the side start point S3 and the side end point D6. For example, data for displaying a double arrow is used as the data for displaying the allocation of the water truck to distinguish it from the pipeline.

In addition, the facility design system 100 displays a part or all of the vertex table and the side table in the facility design data 117 on the facility design data display unit 502. The range to be displayed here is determined by receiving an input designating the display range by the input device 105 from the user.

Further, the facility design system 100 is a graph in which the evaluation index value in the facility design data 117 calculated by the facility design system 100, that is, the cost value is changed every year in the design period in the evaluation index display 503. Is displayed. In the example of FIG. 22, the value of the evaluation index is displayed in the form of a line graph, but other display methods such as a bar graph may be used.

In addition, the facility design system 100 receives, from the user, an interface for receiving an activation instruction for the automatic design unit 13 or the manual design unit 12 from the user or input data for editing processed by the manual design unit 12 from the user. Displays the interface for receiving.

The year switching button 505 displays the network layout corresponding to the equipment design data 117 displayed on the equipment design layout display section 501, that is, the layout of the reclaimed water supply system, and the equipment design data 117 displayed on the equipment design data display section 502. Is a button for receiving an instruction when the user switches in a desired predetermined year in the design period. The year switching button 505 also serves as a button for receiving a year designation from the user when the editing process by the manual design unit 12 is performed.

For example, assume that an arrow-shaped year switching button 505 is arranged on the display screen 500. Then, when the layout corresponding to the facility design data 117 for year t is displayed on the facility design layout display section 501 of the screen 500, the user selects the right arrow button among the buttons 505 described above on the input device 105. Receive. In this case, an event of user selection of the right arrow button is transmitted to the facility design system 100 via the input device 105. Upon receiving this user selection, the facility design system 100 reads the facility design data 117 for the year t + 1 from the storage device 101, executes the display data generation processing described above, and displays the display data for the corresponding layout as a display device. 106 and displayed on the facility design layout display unit 501. On the other hand, when the facility design system 100 receives the user selection of the left arrow button, the same process is executed, and the layout of the t-1 year is displayed on the facility design layout display unit 501. Of course, it is also possible to receive the numerical designation of the fiscal year from the user in the input device 105 and perform the layout display processing for the relevant fiscal year as described above based on the facility design data 117 of the fiscal year corresponding to the numerical designation.

In the present embodiment, the form in which the equipment design data 117 is calculated in the single equipment design system 100 is shown. However, two or more equipment design systems 100 distribute or overlap the above-described functional units and data. It is possible to adopt a form in which each process is executed in parallel.

--- Example 2 ---
Next, the form in the case where the automatic design unit 13 in the facility design system 100 shown in the first embodiment is the automatic design unit 14 having the configuration shown in FIG. 23 will be described. The automatic design unit 14 in this case has a network construction function 301 and an automatic design function 3022 as shown in FIG. The network construction function 301 in the automatic design unit 14 and the network construction function 301 in the automatic design unit 13 are the same.

Therefore, the automatic design function 3022 executed by the automatic design unit 14 will be described based on the difference from the automatic design function 302 in the automatic design unit 13. In the form already described, when the equipment design data 117 is calculated, the automatic design unit 13 calculates the equipment design data 117 of the connection points, satellites, pipelines, and water tanker assignments every year of the design period. Function 302, discharge pressure determination function 303 for calculating discharge pressure and flow rate in facility design data 117, and constraint violation for determining whether there is a constraint violation in facility design data 117 calculated by automatic design function 302 and discharge pressure determination function 303 By sequentially executing the determination function 304, the facility design data 117 is approximately output.

On the other hand, in the example here, the automatic design unit 14 has an automatic design function 3022 that simultaneously executes the

functions

302, 303, and 304. By executing the automatic design function 3022, the automatic design unit 14 calculates optimal facility design data regarding the evaluation index over the entire design period.

Subsequently, processing in the automatic design unit 14 will be described. FIG. 24 is a flowchart showing processing of the automatic design unit 14. In this case, the automatic design unit 14 instructs the data receiving unit 11 to read the design condition data 110 from the storage device 101 in the process (3120). The receiving unit 11 that has read the design condition data 110 from the recording device 101 records the design condition data 110 in the memory 103.

Next, the automatic design unit 14 executes the network construction function 301 to read the design condition data 110 from the memory 103, construct the network data 116, and store it in the storage device 101.

Subsequently, the automatic design unit 14 executes the automatic design function 3022 to execute processing (3220) and processing (3320). In the process (3220), the automatic design function 3022 of the automatic design unit 14 reads the network data 116 onto the memory 103 of the equipment design system 100, and calculates the equipment design data 117 using the network data 116 as an input. Is formulated.

The automatic design function 3022 is “1” if the pipe candidate p having a pipe diameter u connecting the vertices i to j in the network data 116 described above is actually adopted as a pipe line in the t-year, and “0” if not. Define variables xp, u, t that become ". u is selected from a set of pipe diameter candidates given in advance.

Similarly, in the year t, the automatic design function 3022 sets the variable yc, t to be “1” if the water supply vehicle allocation candidate c is adopted as a means for distributing water from the satellite candidate s to the customer d, and “0” if not. Define In addition, the automatic design function 3022 defines variables zs and t that are “1” if a satellite is arranged in the satellite candidate s in year t and “0” if no satellite is arranged. Furthermore, the automatic design function 3022 defines the discharge pressure of the water distribution pump in the satellite s in year t as variables hs and t.

The automatic design function 3022 defines a variable as described above, and specifies the following expression as an evaluation index.

The evaluation index represented by the above mathematical formula 4 is the sum of the three costs: the laying cost of the pipeline, the cost of the water supply vehicle, and the operation cost of the water distribution pump when the entire design period is passed. That is, it means the sum of the initial investment cost and the operation cost over the entire design period.

Here, U is a set of numerical values that can be selected as the pipe diameter, and CPp, u is the laying cost of the pipe line p with the pipe diameter u. As described above, CPp, u is represented, for example, by the product of the coefficient αu for determining the laying cost when the pipe diameter is u and the laying cost CPp.

In the process (3320), the automatic design function 3022 uses each of the variables xp, u, t, yc, t, zs, t, hs, t using, for example, a mathematical optimization method so as to minimize the above-described evaluation index. Determine the value of. At this time, in addition to the restriction considered in the first embodiment, the restriction that only one pipe diameter of a certain pipe line p can be selected from U is added. That is, for a certain pipeline p in a certain t-year,

It is necessary to satisfy. Moreover, if a pipe diameter is defined in a certain fiscal year t, the tubular diameter cannot be changed after the fiscal year t + 1. Further, for example, in a satellite candidate s ′ that is not installed (that is, zs ′, t = 0), a restriction is added such that the discharge pressure is hs ′, t = 0.

As in the case of the first embodiment, the automatic design function 3022 of the automatic design unit 14 constructs a vertex table and an edge table in the facility design data 117 from the values of the variables and stores them in the storage device 101 in the process (3420). To do. As in the case of the first embodiment, when the following facilities are added, when an existing facility exists, the facility design can be performed in the same manner when the facility is expanded.

Suppose that the constraint data of the constraint data 114 records a constraint meaning that an existing facility exists. For example, there is a constraint that the value of the variable xp ′, 1 relating to the existing pipe p ′ is “xp ′, 1 = 1”.

In addition, this invention is not limited to the above-mentioned Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

In addition, each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

Also, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

According to this embodiment, when designing the water distribution system, it is possible to minimize the cost of investment and operation throughout the entire design period over several years.

記載 At least the following will be made clear by the description in this specification. That is, in the facility design system of the present embodiment, the arithmetic device is based on the cost data required for the introduction and operation of a predetermined component included in the data related to the component, and the design period data included in the data related to the constraint. Among the generated distribution network patterns, the process of identifying the distribution network that minimizes the total cost in the final year of the design period as equipment design data, and pipes from the previous year's distribution network to build the distribution network for the final year Generate a restriction for pipe laying that does not remove the road, store it in the storage device as data related to the restriction, and before the final year of the distribution network pattern, under conditions that satisfy the restriction for pipe laying It is also possible to execute the process of identifying the distribution network with the lowest total cost in the fiscal year as equipment design data and store the equipment design data for the entire design period in the storage device. . According to this, in the result of the equipment design in which the pipeline is not removed between the fiscal years in the design period, it is possible to efficiently identify the one that minimizes the cost.

In addition, the arithmetic unit in the above-described facility design system generates a constraint for laying a pipeline that does not remove the pipeline from the distribution network of the previous year in order to construct the distribution network of the previous year, and The first year of the design period is the process of identifying the distribution network with the lowest total cost in the previous fiscal year as equipment design data, stored in the storage device and satisfying the constraints of pipe laying. The facility design data for the entire design period may be stored in the storage device. According to this, even if the design period is 3 years or more, it is possible to efficiently identify the one with the lowest cost in the result of the equipment design in which the pipeline is not removed between the years in the design period.

In addition, the arithmetic unit in the equipment design system described above is based on the data on the water supply source, the customer facility, the pipeline and the water supply truck that are the water distribution means, and the water supply source and the demand. For the process of generating a distribution network pattern that connects each facility in the pipeline or water truck as a means of water distribution, and for the introduction and operation of pipes or water trucks that are predetermined components included in the data related to the components Based on the cost data required and the design period data included in the constraint data, each fiscal year in the distribution network pattern under the conditions that satisfy the predetermined constraints included in the constraint data between the design period years The distribution network that minimizes the total cost is specified as facility design data for each time, and the facility design data for the entire design period is stored in the storage device. There. According to this, it is possible to efficiently specify the result of the equipment design that minimizes the cost for the form in which the water supply vehicle is adopted as the water distribution means.

In addition, the arithmetic unit in the facility design system described above is a water distribution system that minimizes the total cost for each fiscal year in the distribution network pattern under the condition that satisfies the predetermined constraints included in the data related to the constraints during each year of the design period. As a network, formulate a mathematical programming problem for specifying water supply sources and distribution means according to a predetermined algorithm, and solve the formulated mathematical programming problem with a predetermined algorithm, so that each year of the distribution network pattern. The water supply source and the water distribution means that minimize the total cost may be specified, and the facility design data for the entire design period may be calculated. According to this, it is possible to efficiently solve a problem including a large number of variables, and as a result, it is possible to more efficiently identify the equipment design result that minimizes the cost.

In addition, the arithmetic unit in the facility design system described above is a water distribution system that minimizes the total cost for each fiscal year in the distribution network pattern under the condition that satisfies the predetermined constraints included in the data related to the constraints during each year of the design period. As a network, a mathematical programming problem for specifying the water supply source, the water distribution means, and the discharge pressure value of the pump at the water supply source is formulated according to a predetermined algorithm, and the formulated mathematical programming problem is converted into a predetermined algorithm. The water supply source, water distribution means, and pump discharge pressure value at the water supply source that minimize the total cost for each fiscal year in the distribution network pattern are identified, and the facility design data for the entire design period May be calculated. According to this, it is possible to efficiently solve the problem included in the variable regarding the discharge pressure at the water supply source, and thus to more efficiently identify the one with the lowest cost in the result of the equipment design.

In addition, the arithmetic unit in the facility design system described above solves the formulated mathematical programming problem with a predetermined algorithm, so that the operation cost of the water distribution pump in the water supply source is minimized when specifying the pump discharge pressure value. It is good also as what specifies the discharge pressure of a pump so that it may become. According to this, the operation cost of the water distribution pump in the case where the discharge pressure is set to a necessary value can be surely identified, and the cost that is the minimum in the result of the equipment design can be efficiently identified.

The arithmetic unit in the facility design system described above includes a year instruction reception unit that receives an instruction from the user for a year in which the facility design data display is desired in the design period, and a facility design data for the year that receives the user instruction from the year reception unit. A display unit that reads and displays the data from the storage device, a display unit that displays the layout of the water distribution network based on the corresponding facility design data, and a display unit that displays the total cost in the facility design data for each year of the design period The screen data may be generated and a process of displaying the screen data on the display device may be executed. According to this, it becomes possible for the user to visually recognize various data related to the equipment design in a form that can be easily recognized, leading to an improvement in the efficiency of the equipment design work.

Further, the arithmetic device in the facility design system described above relates to a predetermined item indicated by the edit instruction received by the interface unit, including an interface unit that accepts an edit instruction from the user included in the screen data and displayed on the display device. Depending on the content of the edit, the process of changing the data of the corresponding item in the equipment design data stored in the storage device, and the equipment design data changed by the editing instruction are collated with data related to restrictions on water distribution equipment design. Then, it may be determined whether the equipment design data after the change satisfies the constraint, and if the equipment design data after the change does not satisfy the constraint, a re-editing notification is displayed on the interface unit. According to this, it is possible to determine the validity of the editing result of the facility design data by the user, and to secure the facility design data that always satisfies a predetermined constraint.

DESCRIPTION OF SYMBOLS 10 Equipment design control part 11 Data receiving part 12 Manual design part 13 Automatic design part 100 Equipment design system 101 Storage device 102 Program 103 Memory 104 CPU (arithmetic unit)
105 Input Device 106 Display Device 110 Design Condition Data 111 Geographic Information Data 112 Construction Candidate Data 113 Customer Data 114 Constraint Data 115 Numerical Data 116 Network Data 117 Facility Design Data

Claims

A storage device that holds at least data relating to components of the water distribution facility and data relating to restrictions on the design of the water distribution facility;
A process of generating a distribution network pattern that connects each of the water supply source and the customer facility with the water distribution means, based on the data regarding the water supply source, the customer facility, and the water distribution means included in the data regarding the component;
Data related to the constraint between each year of the design period based on data on the cost required for introduction and operation of the predetermined component included in the data related to the component and data on the design period included in the data related to the constraint Under the conditions satisfying the predetermined constraints included in the distribution network, the distribution network having the minimum total cost is identified as facility design data for each fiscal year, and the facility design data for the entire design period is stored in the storage device. An arithmetic unit for performing processing;
An equipment design system characterized by comprising:
The arithmetic unit is:
Of the generated distribution network patterns, the design is based on the cost data required for the introduction and operation of the predetermined component included in the data related to the component and the data of the design period included in the data related to the constraint. Processing to identify the distribution network that minimizes the total cost in the final year of the period as facility design data, and laying the pipeline not to remove the pipeline from the previous year's distribution network in order to construct the distribution network for the final year Is generated and stored in a storage device as data relating to the constraint, and the total cost is minimum in the previous year of the final year among the patterns of the water distribution network under the condition satisfying the constraint of the pipeline laying. To identify the water distribution network as equipment design data, and store the equipment design data for the entire design period in the storage device.
The facility design system according to claim 1.
The arithmetic unit is:
In order to construct the water distribution network of the previous year, a restriction of pipe laying that the pipe removal is not performed from the water distribution network of the previous year is generated, and stored in a storage device as data relating to the restriction, the pipe laying Under the conditions satisfying the restrictions of the above, the process of identifying the distribution network that minimizes the total cost in the previous year as the facility design data among the distribution network patterns is repeatedly executed until the first year of the design period, The facility design data for the entire design period is stored in the storage device.
The facility design system according to claim 2.
The arithmetic unit is:
A pipe that is a water distribution means between each of the water supply source and the customer facility, based on the data about the water supply source, the customer facility, and the pipelines and water supply trucks that are the water distribution means included in the data related to the component. Processing to generate a distribution network pattern connected by roads or water trucks;
Each year of the design period based on the data of the cost required for the introduction and operation of pipelines or water trucks that are the predetermined components included in the data on the components and the data on the design period included in the data on the constraints The distribution network that minimizes the total cost for each fiscal year among the distribution network patterns is identified as facility design data under the conditions that satisfy the predetermined constraints included in the data related to the constraints, and the facility design for the entire design period A process of storing data in a storage device,
The facility design system according to claim 1.
The arithmetic unit is:
Under each condition of the design period, the water supply source and the water supply source and the water supply network, as a water distribution network that minimizes the total cost for each year among the patterns of the water distribution network, under the condition that satisfies the predetermined constraints included in the data related to the constraints Formulating a mathematical programming problem for specifying a water distribution means according to a predetermined algorithm, and solving the formulated mathematical programming problem with a predetermined algorithm, the total cost is minimized for each year of the distribution network pattern. The water supply source and the water distribution means are specified, and the facility design data for the entire design period is calculated.
The facility design system according to claim 1.
The arithmetic unit is:
Under each condition of the design period, satisfying a predetermined constraint included in the data relating to the constraint, as a distribution network that minimizes the total cost for each year among the patterns of the distribution network, the water supply source, Formulating a mathematical programming problem for specifying the water distribution means and the discharge pressure value of the pump at the water supply source according to a predetermined algorithm, and solving the formulated mathematical programming problem with a predetermined algorithm, Identify the water supply source, water distribution means, and pump discharge pressure value at the water supply source that minimize the total cost for each fiscal year in the distribution network pattern, and calculate facility design data for the entire design period To do,
The facility design system according to claim 5.
The arithmetic unit is:
By solving the formulated mathematical programming problem with a predetermined algorithm, the pump discharge pressure is specified so that the operation cost of the water distribution pump at the water supply source is minimized when the pump discharge pressure value is specified. To do,
The facility design system according to claim 6.
The arithmetic unit is:
A year instruction receiving unit that receives an instruction from the user for the year in which the facility design data display is desired in the design period, and a display that reads and displays the equipment design data for the year that the user received in the year receiving unit from the storage device Generating screen data including a display unit that displays the layout of the water distribution network based on the corresponding facility design data, and a display unit that displays the total cost in the facility design data for each year of the design period, A process for displaying screen data on a display device is executed.
The facility design system according to claim 1.
The arithmetic unit is:
An interface unit that accepts an editing instruction from a user regarding the facility design data is included in the screen data and displayed on a display device, and the storage device according to the editing content related to a predetermined item indicated by the editing instruction received by the interface unit Processing to change the data of the corresponding item in the equipment design data stored in
The facility design data changed by the editing instruction is collated with data relating to the constraints on the water distribution facility design, it is determined whether the facility design data after the change satisfies the constraints, and the facility design data after the change is the If the constraint is not satisfied, a notification of re-editing is displayed on the interface unit.
The equipment design system according to claim 8, wherein:
An information processing apparatus having a storage device that holds at least data relating to components of water distribution equipment and data relating to restrictions on water distribution equipment design,
A process of generating a distribution network pattern that connects each of the water supply source and the customer facility with the water distribution means, based on the data regarding the water supply source, the customer facility, and the water distribution means included in the data regarding the component;
Data related to the constraint between each year of the design period based on data on the cost required for introduction and operation of the predetermined component included in the data related to the component and data on the design period included in the data related to the constraint Under the conditions satisfying the predetermined constraints included in the distribution network, the distribution network having the minimum total cost is identified as facility design data for each fiscal year, and the facility design data for the entire design period is stored in the storage device. Processing,
The facility design method characterized by performing.
In an information processing apparatus equipped with a storage device that holds at least data relating to components of water distribution equipment and data relating to restrictions on water distribution equipment design,
A process of generating a distribution network pattern that connects each of the water supply source and the customer facility with the water distribution means, based on the data regarding the water supply source, the customer facility, and the water distribution means included in the data regarding the component;
Based on the cost data required for the introduction and operation of a predetermined component included in the data related to the component and the data related to the design period included in the data related to the constraint, the data related to the constraint during each year of the design period Under the conditions satisfying the predetermined constraints included in the above, the distribution network having the minimum total cost is identified as facility design data for each fiscal year among the distribution network patterns, and the facility design data for the entire design period is stored in the storage device Processing,
A facility design program characterized in that