JP2024004559A - Fluid pressure estimation device and fluid pressure estimation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a fluid pressure estimation device capable of acquiring the pressure of a conduit network in a shorter period than the interval at which flow rates are acquired by a flowmeter.

SOLUTION: A fluid pressure estimation device 100 includes: a flow rate acquisition unit (105) configured to acquire a fluid flow rate, in a first period, at a first specific point arranged in a conduit network for transporting fluid; a flow rate estimation unit (106) configured to estimate a fluid flow rate at the first specific point in a second period based on the fluid flow rate at the first specific point in the first period and period flow rate relationship information indicating a relationship between a fluid flow rate in the first period acquired in advance and a fluid flow rate in a second period shorter than the first period; a pressure acquisition unit (107) configured to acquire a fluid pressure in the second period at a second specific point arranged in the conduit network; and a pressure estimation unit (108) configured to estimate the fluid pressure at the first specific point in the second period based on information regarding the conduit network acquired in advance, the fluid flow rate at the first specific point in the second period, and the fluid pressure at the second specific point in the second period.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present disclosure relates to a fluid pressure estimation device and a fluid pressure estimation method.

Conventionally, multiple pressure gauges and multiple flow meters are installed on a pipeline network that supplies fluids such as city gas, and the pressure at each location in the pipeline network is calculated by performing a pipeline network analysis based on the measurement information from these. , a conduit network pressure control device is disclosed that detects locations where control is being performed inappropriately, such as when the pressure is not within a specified range (see Patent Document 1).

Japanese Patent Application Publication No. 2005-293236

Generally, in a conduit network that transports fluid, an integrated flowmeter is installed at each consumer that consumes the fluid, to measure the flow rate of the consumed fluid, that is, the amount consumed, and the fluid is transported to each consumer. For example, a business operator can obtain the consumption amount for each customer by having a worker read a flow meter once a month. However, when calculating the pressure of the pipeline network based on the consumption amount obtained in this way, it is not possible to obtain the pressure of the pipeline network for a period shorter than the interval between meter readings performed by workers, and it is difficult to calculate the consumption amount as well. Therefore, it is not possible to calculate the pressure in the conduit network.

The present disclosure solves the above problems, and provides a fluid pressure estimating device and a fluid pressure estimating method that can obtain the pressure of a conduit network in a period shorter than the interval at which the flow rate is obtained by a flow meter. With the goal.

A fluid pressure estimating device according to the present disclosure includes a flow rate acquisition unit that acquires a fluid flow rate in a first period at a first specific point arranged in a conduit network for transporting fluid; The first specific point is determined based on the fluid flow rate in the period and period flow rate relationship information that indicates the relationship between the fluid flow rate in the first period and the fluid flow rate in the second period, which is shorter than the first period, obtained in advance. a flow rate estimation unit that estimates the fluid flow rate in the second period, a pressure acquisition unit that acquires the fluid pressure in the second period at a second specific point arranged in the conduit network, and information regarding the conduit network acquired in advance. A pressure for estimating the pressure of the fluid in the second period at the first specific point based on the flow rate of the fluid in the second period at the first specific point, and the pressure of the fluid in the second period at the second specific point. The present invention is characterized by comprising an estimating section.

According to the present disclosure, the flow rate of the fluid in the second period at the first specific point is based on the flow rate of the fluid in the first period at the first specific point acquired by the flow rate acquisition unit and the period flow rate relationship information acquired in advance. Since the consumption amount is estimated and the pressure of the conduit network is estimated based on the fluid consumption amount in the second period at the first specific point, the pressure of the conduit network is estimated in a period shorter than the period in which the flow rate is acquired by the flow rate acquisition unit. can be obtained.

1 is a schematic diagram showing a schematic configuration of a conduit network according to Embodiment 1. FIG. 1 is a block diagram showing the configuration of a fluid pressure management system according to Embodiment 1. FIG. 1 is a block diagram showing an example of a hardware configuration of a fluid pressure estimating device according to a first embodiment; FIG. 1 is a block diagram showing an example of a hardware configuration of a fluid pressure estimating device according to a first embodiment; FIG. 5 is a flowchart showing a first consumption amount estimation process performed by the fluid pressure estimation device according to the first embodiment. 6A is a diagram showing the first type of consumption amount according to the first embodiment, FIG. 6B is a diagram showing the second type of consumption amount according to the first embodiment, and FIG. 6C is a diagram showing the second type of consumption amount according to the first embodiment. The figure which shows the 3rd type of consumption. 5 is a flowchart showing pressure estimation processing performed by the fluid pressure estimation device according to the first embodiment. 5 is a flowchart showing pressure prediction processing performed by the fluid pressure estimation device according to the first embodiment. 7 is a flowchart showing a second consumption amount estimation process performed by the fluid pressure estimation device according to the first embodiment. FIG. 3 is a diagram showing types of consumption amount according to the first embodiment.

Hereinafter, embodiments according to the present disclosure will be described in detail with reference to the drawings.
Embodiment 1.
First, with reference to FIG. 1, a schematic configuration of the conduit network N according to the first embodiment will be described. FIG. 1 is a schematic diagram showing a schematic configuration of a conduit network N according to the first embodiment. The conduit network N is formed into a net shape by a plurality of conduits C1 and C2 that communicate with each other, and includes residences, stores, businesses, public facilities, etc. arranged so as to be connected to the conduit network N within a predetermined area. Transport gas fuel such as city gas to the facility.

The conduit network N includes a medium pressure conduit C1 that transports gas fuel from a gas fuel manufacturing plant or a gas fuel storage base, a pressure regulator G that reduces the pressure of the gas fuel transported by the medium pressure conduit C1, and a facility P1. ~P16, and a low pressure conduit C2 for transporting the gas fuel reduced in pressure by the pressure regulator G. By adjusting the set value, the pressure regulator G can adjust the pressure of the gas fuel so that the pressure of the gas fuel on the low pressure conduit C2 side with respect to the pressure regulator G becomes a pressure according to the set value. ing. The gas fuel transported to the facilities P1 to P16 by the medium pressure conduit C1 and the low pressure conduit C2 is consumed by consumers who consume gas fuel when using each facility. Note that the conduit network N is not limited to having only one pressure regulator G, and may include a plurality of pressure regulators G. Note that FIG. 1 is a schematic diagram, and in general, facilities for transporting gas fuel are often branched off from a conduit network and placed within the premises of each house.

The facilities P1 to P16 are capable of measuring the flow rate of gas fuel consumed in each facility. For example, among the facilities P1 to P16, some of the facilities P1 to P3, P7 to P9, and P12 to P16 are the flow rate of gas fuel consumed by each customer at the facility (hereinafter referred to as "consumed (gas fuel consumption)"). A non-smart meter (not shown) is provided as a meter device that measures the flow rate (of fluid) (also referred to as consumption amount) and displays the integrated value of consumption amount. For example, a non-smart meter is a meter device that records consumption through a meter reading operation in which a worker visually checks the display of the integrated value of consumption at a predetermined frequency. For example, the predetermined frequency is once a month.

Also, for example, among the facilities P1 to P16, other facilities P4 to P5 and P10 to P11 measure the consumption amount by each customer in the facility and the pressure of the gas fuel transmitted to the facility. , is equipped with a smart meter (see FIG. 2) as a meter device that outputs measurement results to the outside at a predetermined frequency. For example, a smart meter stores measurement results of consumption per unit time and gas fuel pressure for the unit time, and transmits the measurement results to the outside via a communication network (not shown) at a predetermined frequency. Specifically, the smart meter stores the measurement results of consumption amount and gas fuel pressure for each hour, and transmits the measurement results to the outside via a communication network (not shown) every few hours. Send. Note that the frequency at which the smart meter transmits the measurement results may be every hour or every few hours, and the smart meter transmits the measurement results at the timing necessary when estimating the pressure of gas fuel in the conduit network N by the fluid pressure estimating device 100 described later. It is sufficient if it is configured as follows. Further, the unit time is not limited to one hour, and may be any period shorter than the specific period. Further, the unit time in the specific period constitutes a second period in the first embodiment.

Next, with reference to FIG. 2, the configuration of the fluid pressure management system 1 according to the first embodiment will be described. FIG. 2 is a block diagram showing the configuration of the fluid pressure management system 1 according to the first embodiment. The fluid pressure management system 1 is a system for managing the pressure of gas fuel in the conduit network N (see FIG. 1). As shown in FIG. 2, the fluid pressure management system 1 includes a fluid pressure estimation device 100, a weather database (hereinafter referred to as "weather DB") 200, a consumer database (hereinafter referred to as "customer DB") 300, and an external It includes a computer 400 and the smart meters M1 to Mn described above. Note that the fluid pressure management system 1 is not limited to one that includes a plurality of smart meters, but may include only one smart meter, or may include one that does not include a smart meter. good.

The fluid pressure estimating device 100 is connected to a weather DB 200, a customer DB 300, an external computer 400, and smart meters M1 to Mn so as to be able to communicate information. The fluid pressure estimating device 100 performs a conduit network analysis of the conduit network N based on information from the weather DB 200, the consumer DB 300, the external computer 400, and the smart meters M1 to Mn. This is a device for estimating the pressure of gas fuel. In order to stably supply gas fuel to each facility arranged in the conduit network N, it is necessary to manage the pressure of the gas fuel to be within a predetermined range. The fluid pressure management system 1 estimates the pressure of the gas fuel in the conduit network N using the fluid pressure estimating device 100, and adjusts the set value of the pressure regulator G (see FIG. 1) as necessary. This makes it possible to control the pressure of gas fuel. Details of the fluid pressure estimating device 100 will be described later.

The weather DB 200 accumulates and stores information regarding the weather. For example, the weather DB 200 accumulates and stores weather-related information measured or collected by organizations such as administrative agencies, NGOs, and private companies. Specifically, the weather DB 200 acquires statistical information and forecast information of meteorological elements such as temperature, rainfall, snowfall, and sunshine hours, which are linked to date and time, in the area where the conduit network N is formed. memorize it.

The consumer DB 300 collects and stores information regarding consumers who use the gas fuel transported by the conduit network N. For example, the consumer DB 300 collects and stores information regarding the type of consumer. Specifically, the type of consumer includes the type of facility where the consumer uses gas fuel, the purpose of the gas fuel, the type of meter device (smart meter or non-smart meter), and the number (capacity) of the meter device. , contracted maximum flow rate, past consumption amount, and the like for classifying consumers.

The external computer 400 performs processing for managing the pressure of gas fuel in the conduit network N, including processing for communicating information with the fluid pressure estimating device 100 and the consumer DB 300 and transmitting various information to the fluid pressure estimating device 100. I do. For example, the external computer 400 includes an input device (not shown) such as a keyboard that can input information, a display device (not shown) such as a liquid crystal display that can display information, and a processing circuit (not shown) that performs various processes. etc. Further, for example, the external computer 400 obtains the consumption amount during a specific period of a customer of a facility equipped with a non-smart meter through an input operation of an input device by a worker, and stores the obtained consumption amount in the customer DB 300. let Note that the specific period constitutes a first period in the first embodiment.

For example, the specific period is a period corresponding to the interval between meter reading operations by a worker. Further, for example, the external computer 400 operates the fluid pressure estimating device 100 through an input operation of an input device by a worker, and causes the display device to display the results of processing by the fluid pressure estimating device 100. Note that the fluid pressure estimation device 100 and the external computer 400 may be integrally configured as one computer.

Next, with reference to FIG. 2, the configuration of the fluid pressure estimating device 100 according to the first embodiment will be described. The fluid pressure estimation device 100 includes a conduit network information acquisition section 101, a weather information acquisition section 102, a consumer information acquisition section 103, a consumer classification section 104, a consumption amount acquisition section 105, a consumption amount estimation section 106, a pressure acquisition section 107, It includes a pressure estimation section 108, a specific pressure point extraction section 109, and a storage section 120.

The conduit network information acquisition unit 101 acquires information regarding the conduit network N. For example, the conduit network information acquisition unit 101 acquires information regarding the conduit network N that is necessary when the fluid pressure estimating device 100 performs conduit network analysis of the conduit network N from the external computer 400. The conduit network information acquisition unit 101 stores the acquired information regarding the conduit network N in the conduit network information storage unit 121 of the storage unit 120. The specific content of the information regarding the conduit network N required when performing the conduit network analysis will be described later.

The weather information acquisition unit 102 acquires information regarding the weather in the region where the conduit network N is formed from the weather DB 200. For example, the weather information acquisition unit 102 acquires statistical information regarding the temperature in a specific time period in the past. Further, for example, the weather information acquisition unit 102 acquires forecast information regarding the weather in a specific time period in the future. The weather information acquisition unit 102 causes the weather information storage unit 122 of the storage unit 120 to store the acquired weather information.

The customer information acquisition unit 103 acquires information regarding the type of each customer from the customer DB 300 for each customer. The customer information acquisition unit 103 causes the customer information storage unit 123 of the storage unit 120 to store information regarding the type of customer acquired from the customer DB 300. The customer classification unit 104 generates a learning model for classifying customers, and classifies the customers using the learning model based on the information regarding the type of customer acquired by the customer information acquisition unit 103. The customer classification unit 104 stores the generated learning model and the customer classification results in the customer information storage unit 123. Details of the consumer classification unit 104 will be described later.

The consumption amount acquisition unit 105 acquires the consumption amount of the customer at each facility from the customer DB 300 and the smart meters M1 to Mn. For example, the consumption amount acquisition unit 105 acquires the consumption amount in a specific period of a customer of a facility equipped with a non-smart meter from the customer DB 300. Further, for example, the consumption acquisition unit 105 acquires the consumption amount for each predetermined time period (for example, every hour) of the consumers of the facilities equipped with the smart meters M1 to Mn from the smart meters M1 to Mn. . The consumption amount acquisition unit 105 causes the consumption amount storage unit 124 of the storage unit 120 to store the acquired consumer consumption amount. Note that the consumption amount acquisition unit 105 may be configured to directly acquire information from the smart meters M1 to Mn, or may be configured to acquire information via the consumer DB 300 or the external computer 400. good. In addition, in the following description, "consumers of facilities equipped with non-smart meters" are also referred to as "general consumers", and "consumers of facilities equipped with smart meters" are also referred to as "specific consumers". Further, the consumption amount acquisition unit 105 constitutes a flow rate acquisition unit in the first embodiment.

The consumption estimation unit 106 estimates the consumption amount of the general consumer in a period shorter than the specific period, based on the consumption amount of the general consumer in the specific period acquired by the consumption amount acquisition unit 105. The consumption estimation unit 106 stores the estimated consumption of the general consumer in the consumption storage unit 124 of the storage unit 120. Note that consumption amount estimating section 106 constitutes a flow rate estimating section in the first embodiment. Details of the consumption amount estimating unit 106 will be described later.

The pressure acquisition unit 107 acquires the pressure of the gas fuel in the conduit network N from the external computer 400 and the smart meters M1 to Mn. For example, the pressure acquisition unit 107 acquires information regarding the set pressure, which is the set value of the gas fuel pressure by the pressure regulator G (see FIG. 1), from the external computer 400. Further, for example, the pressure acquisition unit 107 acquires the measured value of the pressure of the gas fuel transmitted from the smart meters M1 to Mn to the facility equipped with the smart meters M1 to Mn. The pressure acquisition unit 107 stores the acquired pressure of the gas fuel in the conduit network N in the pressure storage unit 125 of the storage unit 120.

The pressure estimation unit 108 performs a pipe network analysis of the pipe network N based on the information acquired by the fluid pressure estimating device 100 and the processing results based on this information, thereby estimating the gas fuel at any point on the pipe network N. Estimate pressure. The pressure estimating unit 108 stores the estimated pressure of the gas fuel at any point in the conduit network N in the pressure storage unit 125 of the storage unit 120. Details of the pressure estimation unit 108 will be described later.

The specific pressure point extraction unit 109 extracts a value outside a preset allowable range from among the estimated value of the gas fuel pressure of the general consumer and the measured value of the gas fuel pressure of the specific consumer in the conduit network N. , and output the points to the external computer 400. For example, the preset allowable range for the pressure of gas fuel at low pressure is 1.0 [kPa] or more and 2.5 [kPa] or less in terms of gauge pressure.

Next, the hardware configuration of the fluid pressure estimating device 100 according to the first embodiment will be described with reference to FIGS. 3 and 4. FIG. 3 is a block diagram showing an example of the hardware configuration of the fluid pressure estimation device 100 according to the first embodiment, and FIG. FIG. 2 is a block diagram showing a different example. For example, as shown in FIG. 3, the fluid pressure estimating device 100 includes a processor 100a, a memory 100b, and an I/O port 100c, and the processor 100a reads and executes a program stored in the memory 100b. It is composed of

Further, for example, as shown in FIG. 4, the fluid pressure estimating device 100 includes a processing circuit 100d and an I/O port 100c, which are dedicated hardware. The processing circuit 100d is configured by, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. Each function of the fluid pressure estimating device 100 is realized by the processor 100a or the processing circuit 100d, which is dedicated hardware, executing a software program.

Next, with reference to FIGS. 5 and 6, the first consumption estimation process performed by the fluid pressure estimation device 100 according to the first embodiment will be described. FIG. 5 is a flowchart showing the first consumption estimation process performed by the fluid pressure estimation device 100 according to the first embodiment. The first consumption amount estimation process is a process for estimating the consumption amount of a general consumer in a unit time, which is a shorter period than the specific period, based on the consumption amount of the general consumer in the specific period.

As shown in FIG. 5, when the first consumption estimation process is started, the fluid pressure estimating device 100 first calculates the measured value of the consumption per unit time in the past specific period of each specific consumer of the conduit network N. (step ST11). In this process, the consumption amount acquisition unit 105 acquires the consumption amount of each specific consumer measured by the smart meters M1 to Mn so that changes per unit time in a specific period can be seen. In addition, in the first embodiment, the facilities of the specific consumer that acquire the measured value of the consumption amount per unit time in the past specific period constitute the third specific point and the fourth specific point.

After performing the process in step ST11, the fluid pressure estimating device 100 acquires information regarding the type of each specific consumer (step ST12). In this process, the customer information acquisition unit 103 refers to the information in the customer DB 300 and acquires information regarding the type for classifying each specific customer.

After performing the process in step ST12, the fluid pressure estimating device 100 acquires information indicating the type of change over time in consumer consumption (step ST13). The consumer information storage unit 123 stores in advance a plurality of types of information indicating temporal changes in consumer consumption. FIG. 6 is an example of the type of change over time in consumer consumption, which is stored in the consumer information storage unit 123. FIG. 6A is a diagram showing a first type in which a consumer consumes gas fuel such that the consumption peaks multiple times at a specific time of the day, and FIG. 6B shows a first type in which a consumer FIG. 6C is a diagram showing a second type in which gas fuel is consumed only during the daytime hours of the day, and FIG. 6C is a diagram showing a third type in which consumers consume gas fuel at a constant rate regardless of time of day. It is a figure showing a typology. In the process of step ST13, the customer classification unit 104 refers to the information stored in the customer information storage unit 123 and acquires a plurality of types of information indicating temporal changes in consumer consumption. Note that the type of change over time in a consumer's consumption amount may be an actual measured value of a specific consumer's consumption amount, or may be generated by another statistical method. Further, in the first embodiment, the type of information indicating temporal changes in consumer consumption constitutes period flow rate related information.

After performing the process in step ST13, the fluid pressure estimating device 100 identifies the type that is closest to the change per unit time in the consumption amount of each specific consumer acquired in step ST11, among the multiple types acquired in step ST13. A selection is made for each consumer (step ST14). Since various methods have been disclosed in the past for evaluating the similarity between two waveforms, a description of the method for selecting the type that is closest to the change in consumption per unit time of each specific consumer will be omitted. .

After performing the process in step ST14, the fluid pressure estimating device 100 generates training data including the information regarding the type of each specific consumer acquired in step ST12, and the consumption type selected for each specific consumer in step ST14. Based on this, a learning model is generated that outputs one of the types of consumption amount in response to the input of the type of consumer (step ST15). Generally, there is a correlation between the type of consumer and the change in consumption over time. In other words, the way consumption changes over time changes depending on the type of consumer. For example, if we focus on the type of facility where the consumer uses gas fuel as the type of consumer, if the facility where the consumer uses gas fuel is a residence, the change in consumption over time will be as shown in Figure 6A. If the facility where the consumer uses gas fuel is a store or public facility that does not open at night, the change in consumption over time will be close to the second type shown in Figure 6B, and the consumer will If the facility that uses gas fuel is a facility that operates continuously day and night, such as a 24-hour store, the temporal change in consumption will be close to the third type shown in FIG. 6C.

In the process of step ST15, the consumer classification unit 104 generates a learning model based on teacher data including the type of the specific consumer and the type indicating the temporal change in the consumption amount of the specific consumer. Note that the fluid pressure estimating device 100 estimates the customer's consumption based on training data including information regarding the type of specific customer of the conduit network N and the consumption type selected for each specific customer of the conduit network N. Not limited to those that generate a learning model that outputs any type of consumption amount in response to type input, but those that generate a learning model based on the type and consumption amount of consumers in areas other than the pipeline network N. It may be.

After performing the process in step ST15, the fluid pressure estimating device 100 acquires the measured value of consumption in a specific period for each general consumer (step ST16). In this process, the consumption amount acquisition unit 105 refers to the information in the customer DB 300 and acquires the consumption amount in a specific period recorded by meter reading work for each general customer.

After performing the process in step ST16, the fluid pressure estimating device 100 acquires information regarding the type of each general consumer (step ST17). In this process, the customer information acquisition unit 103 refers to the information in the customer DB 300 and acquires information regarding the type for classifying each general customer.

After performing the process in step ST17, the fluid pressure estimating device 100 calculates an estimated value of consumption per unit time shorter than the specific period of each general consumer (step ST18). In this process, the consumption estimation unit 106 uses the learning model generated in step ST15, the measured value of consumption in a specific period for each general consumer obtained in step ST16, and the consumption amount estimation unit 106 for each general consumer obtained in step ST17. Based on the information regarding the type, an estimated value of consumption per unit time shorter than the specific period of each general consumer is calculated. For example, in the process of step ST18, the customer classification unit 104 inputs the type of each general customer into the learning model, and selects a type corresponding to the temporal change in the consumption amount of each general customer from among the plurality of types by inference. select. In other words, in the process of step ST18, the customer classification unit 104 selects the type according to the type of the target general customer from among the plurality of types.

Next, in the process of step ST18, the consumption estimation unit 106 divides the measured value of the consumption amount of the general consumer in the specific period by the number of days in the specific period, and calculates the average value of the consumption amount per day of the general consumer. Calculate. Furthermore, in the process of step ST18, the consumption estimation unit 106 multiplies the ratio of the average value to the consumption per day of the selected type by the consumption per unit time of the type. , calculate the estimated consumption amount per unit time for each general consumer during a specific period. For example, if the average value of the daily consumption of any general consumer is twice the consumption per day indicated by the type selected in the process of step ST18, the consumption estimation unit 106 determines that , the consumption amount that is twice the consumption amount per unit time of the type is calculated as the estimated value of the consumption amount per unit time of the general consumer in the specific period. After performing the process of step ST18, the fluid pressure estimating device 100 ends the first consumption amount estimating process. Note that the consumption estimation unit does not depend on the average value of the consumption per day of the consumers in a specific period, but based on the estimated value of the consumption per unit time of one of the consumers who are of the same type as each other, The consumption amount per unit time of the other consumer may be estimated.

Next, with reference to FIG. 7, a pressure estimation process performed by the fluid pressure estimating device 100 according to the first embodiment will be described. FIG. 7 is a flowchart showing pressure estimation processing performed by the fluid pressure estimation device 100 according to the first embodiment. The pressure estimation process is a process by which the fluid pressure estimation device 100 estimates the pressure of gas fuel at a specific point in the conduit network N by conduit network analysis.

As shown in FIG. 7, when the pressure estimation process is started, the fluid pressure estimation device 100 first acquires information regarding the conduit network N (step ST21). In this process, the conduit network information acquisition unit 101 acquires information regarding the conduit network N as a parameter for performing conduit network analysis from the external computer 400, for example. Specifically, the conduit network information acquisition unit 101 acquires the following information.
Z: Average value of compression coefficient of gas fuel transported by pipe network N (Z≒1)
T: Temperature of the gaseous fuel transported by the conduit network N [°K]
γ: Specific gravity of gas fuel transported by pipe network N (weight ratio when air specific gravity at 20°C is set to 1)
f: Friction coefficient between the gas fuel transported by the conduit network N and the low-pressure conduit C2 D: Inner diameter of the low-pressure conduit C2 L: Pipe length between each facility in the conduit network N

After performing the process in step ST21, the fluid pressure estimating device 100 acquires the measured value of the gas fuel pressure for each unit time in the specific period of each specific consumer (step ST22). In this process, the pressure acquisition unit 107 acquires the pressure of the gas fuel transmitted to the facility of each specific consumer, which is measured by the smart meters M1 to Mn, so that changes in each unit time during a specific period can be seen. There is.

After performing the process in step ST22, the fluid pressure estimating device 100 obtains an estimated value of the consumption per unit time of each general consumer (step ST23). In this process, the pressure estimating unit 108 refers to information stored in the storage unit 120, for example, and obtains an estimated value of the consumption per unit time of each general consumer calculated by the consumption estimation process. There is.

After performing the process in step ST23, the fluid pressure estimating device 100 performs a conduit network analysis of the conduit network N using the conduit network analysis model, and calculates the estimated value of the gas fuel pressure for each general consumer per unit time. (Step ST24). The calculation model storage unit 126 of the storage unit 120 stores a conduit network analysis model in advance. For example, the conduit network analysis model (flow rate equation) is expressed by equation (1), which is the following flow rate formula, using the information regarding the conduit network N acquired in the process of step ST21 as a parameter. Each parameter is stored in advance in the conduit network information storage section 121 of the storage section 120.
Q ₀ =K・√((1/ZT)(1/f)(1/γ)(D ⁵ /L)(P ₁ ² -P ₂ ² ))
...(1)
However, K is expressed by the following formula (2).
(K ₀ π/8)・(√(gR/M ₀ ))・(T ₀ /P ₀ )...(2)
Further, Q ₀ , P ₁ , P ₂ , K ₀ , g, R, M ₀ , T ₀ , and P ₀ are as follows.
Q ₀ : Flow rate of gas fuel at T ₀ and P ₀ [Nm ³ /H]
P ₁ : Conduit upstream pressure [kg/cm ³ abs]
P ₂ : Conduit upstream pressure [kg/cm ³ abs]
K ₀ : Coefficient determined by unit system g: Gravitational acceleration [m/sec ² ] (≒9.81)
R: Gas constant [kg・m/kmol・°K] (≒847.83)
M ₀ : Air molecular weight (kg/kmol) (=29.27)
T ₀ : Temperature in standard state [°K]
P ₀ : Standard state pressure [kg/cm ³ abs]
Note that the set pressure Ps of the pressure regulator G (see FIG. 1) may be stored in the pressure storage section 125 of the storage section 120 in advance. Further, the above formulas (1) and (2) are examples of formulas for calculating pressure, and the fluid pressure estimating device is configured to calculate pressure based on other formulas and formulas. Good too.

In the process of step ST24, the pressure estimating unit 108 calculates, based on the pipe network analysis model and the flow rate balance equation, the gas fuel transmitted to the facilities of each general consumer and each specific consumer in order from the pressure regulator G. Calculate the pressure estimate.
Note that the flow rate balance equation is expressed by the following equation (3).
(Amount of gas fuel flowing into a specific point) = (Amount of gas fuel flowing out from a specific point) + (Amount of gas fuel consumed at a specific point)... (3)
For example, in the process of step ST24, the pressure estimating unit 108 first calculates the pressure at the customer's facility adjacent to the downstream of the pressure regulator G based on the formula in which each parameter is substituted into the conduit network analysis model and the flow rate balance formula. A procedure of calculating the estimated value of the pressure of the gas fuel transmitted to the customer's facility, and based on the calculated estimated value, calculating the estimated value of the pressure of the gas fuel transmitted to the downstream adjacent customer facility. By repeating this, the estimated value of the pressure of the gas fuel transmitted to the facilities of each general consumer and each specific consumer is calculated.
Further, in the first embodiment, the customer facility for which the estimated value of the gas fuel pressure is calculated by the conduit network analysis constitutes the first specific point. In addition, when calculating the estimated value of the gas fuel pressure at the first specific point by the conduit network analysis, points in the conduit network N where the gas fuel pressure value is known are Configure points. For example, the second specific points are a pressure regulator G whose set pressure value is known, a specific customer facility whose gas fuel pressure value is known by a smart meter, and a facility where the pressure has already been estimated by pipe network analysis. This applies to general consumer facilities that have already been calculated.

In addition, in the conduit network analysis, a plurality of consumers can also be collectively regarded as one consumer. For example, facilities P1 to P3 shown in FIG. 1 are collectively regarded as one facility Q1, facilities P13 to P16 are collectively regarded as facility Q2, and a customer using facility Q1 is regarded as one customer. The conduit network analysis may be performed based on the total amount of consumption in Q1 and the total amount of consumption in facility Q2 when a customer using facility Q2 is regarded as one customer. Note that when a plurality of consumers are collectively regarded as one consumer, it is desirable that the plurality of consumers have a common point in type information.

After performing the process in step ST24, the fluid pressure estimating device 100 compares the measured value and estimated value of the gas fuel pressure transmitted to the facilities of each specific consumer, and determines the difference between these measured values and the estimated value. It is determined whether or not it is within a preset allowable range (step ST25). The estimated value of the pressure of the gas fuel transmitted to each consumer calculated in the process of step ST24 is calculated based on the multiple parameters described above, but the values of these multiple parameters are not necessarily accurate. do not have. For example, the estimated value of the gas fuel pressure transmitted to each customer changes due to an error in the set pressure Ps of the pressure regulator G, an error in the temperature, an error in other constants, and the like. Therefore, in the process of step ST25, the pressure estimating unit 108 calculates the estimated value of the gas fuel pressure by comparing the measured value and the estimated value of the gas fuel pressure transmitted to the facilities of each specific consumer. It is determined whether the error is within the allowable range.

In the process of step ST25, if the difference between the measured value and the estimated value of the gas fuel pressure is outside the allowable range (NO in step ST25), each parameter of the conduit network analysis model may not be set to an appropriate value. Possible gender. Therefore, if the difference between the measured value and the estimated value of the gas fuel pressure is outside the allowable range, the fluid pressure estimating device 100 adjusts each parameter (step ST26) and performs the conduit network analysis again ( Step ST24). In the process of step ST26, the pressure estimation unit 108, for example, adjusts the set pressure Ps of the pressure regulator G, and performs the conduit network analysis again.

In the process of step ST25, if the difference between the measured value and the estimated value of the gas fuel pressure is within the allowable range (YES in step ST25), the fluid pressure estimating device 100 estimates the gas fuel pressure of the general consumer. It is determined whether or not there is a value outside a preset allowable range among the values and the measured value of the gas fuel pressure of the specific consumer (step ST27). In this process, the specific pressure point extracting unit 109 determines whether or not there is a point in the conduit network N where the pressure of the gas fuel is outside the allowable range, thereby adjusting the pressure of the gas fuel by adjusting the set pressure of the pressure regulator G, etc. Determining whether adjustment is necessary. Note that the specific pressure point extraction section 109 constitutes a determination section in the first embodiment.

In the process of step ST27, if there is a value outside the preset allowable range among the estimated value of the gas fuel pressure of the general consumer and the measured value of the gas fuel pressure of the specific consumer (step ST27 YES), the fluid pressure estimating device 100 outputs the value outside the permissible range and the customer information corresponding to the value (step ST28), and ends the pressure estimation process. For example, in this process, the specific pressure point extraction unit 109 outputs the value at which the gas fuel pressure falls outside the allowable range and the customer information corresponding to the value to the external computer 400 . Display it on a display device. In this process, the specific pressure point extraction unit 109 makes it possible to manage the gas fuel pressure in the conduit network N by visualizing the customer facility where the gas fuel pressure is outside the allowable range. In addition, in the process of step ST27, if there is no value outside the preset allowable range among the estimated value of the gas fuel pressure of the general consumer and the measured value of the gas fuel pressure of the specific consumer (step (NO in ST27), the fluid pressure estimating device 100 ends the pressure estimating process.

Next, with reference to FIG. 8, a pressure prediction process performed by the fluid pressure estimating device 100 according to the first embodiment will be described. FIG. 8 is a flowchart showing pressure prediction processing performed by the fluid pressure estimating device 100 according to the first embodiment. The pressure prediction process is a process by which the fluid pressure estimating device 100 predicts the future pressure of gas fuel at a specific point in the conduit network N.

As shown in FIG. 8, when the pressure prediction process is started, the fluid pressure estimating device 100 first acquires information regarding the conduit network N (step ST41). In this process, the conduit network information acquisition unit 101 acquires information regarding the conduit network N as a parameter for performing conduit network analysis from the external computer 400, and stores the conduit network information in the storage unit 120. It is stored in the storage unit 121. In addition, in step ST41, the conduit network information acquisition unit 101 acquires information regarding the future conduit network N, for example, information regarding the conduit network N that reflects the planned change in the pipe length of the conduit, the planned change in the inner diameter of the conduit, etc. You can also do this.

After performing the process in step ST41, the fluid pressure estimating device 100 acquires weather-related prediction information for the period in which the gas fuel pressure is to be predicted (step ST42). In the first embodiment, the "period for which the gas fuel pressure is predicted" is also referred to as the "prediction period." In this process, the weather information acquisition unit 102 acquires from the weather DB 200 prediction information regarding the weather in the region where the conduit to be predicted is located during the time period in which the gas fuel pressure is to be predicted. For example, the prediction period is an arbitrary unit of time after the specific period. Note that the prediction period constitutes a third period in the first embodiment.

After performing the process in step ST42, the fluid pressure estimating device 100 calculates an estimated value (predicted value) of the consumption amount of each customer in the prediction period based on the weather-related prediction information acquired in step ST42 (step ST43). ). In general, gas fuel consumption tends to vary depending on weather factors. For example, there is a correlation between the amount of gas fuel consumed and the temperature, such that the amount of gas fuel consumed increases as the temperature decreases in winter. For this reason, for example, by performing regression analysis with gas fuel consumption as the objective variable and specific meteorological factors as explanatory variables, we can calculate the estimated value of each customer's consumption in the future period targeted for prediction. It becomes possible to do so. Note that the fluid pressure estimating device 100 is configured to estimate the consumption amount in the prediction period by regression analysis using calendar information such as day of the week, month and day as an explanatory variable in addition to or instead of meteorological elements. You can leave it there.

For example, in the process of step ST42, the consumption amount estimating unit 106 performs a regression analysis using the consumption amount of gas fuel per unit time in a specific period of the target customer as an objective variable and the temperature as an explanatory variable. , calculate the estimated consumption amount of each customer during the forecast period. In this process, the consumption estimation unit 106 uses meteorological information regarding the meteorological elements of the unit time in the specific period and the meteorological elements of the forecast period that is a period after the unit time, and the weather information regarding the meteorological elements of the unit time of the target customer. Based on the flow rate of gas fuel, the flow rate of gas fuel in the prediction period of the customer is estimated.

After performing the process of step ST43, the fluid pressure estimating device 100 performs a conduit network analysis of the conduit network N using the conduit network analysis model (formula (1)) used in the pressure estimation process, and An estimated value of the gas fuel pressure is calculated for each unit time (step ST45). In this process, the pressure estimation unit 108 calculates an estimated value of the gas fuel pressure of each customer in the future time period to be predicted, based on the consumption amount of each customer in the future time period to be predicted. is being calculated. Note that in order to improve the estimation accuracy of the gas fuel pressure, it is desirable to perform pressure estimation processing before performing pressure prediction processing and adjust each parameter of the conduit network analysis model.

When the process of step ST45 is performed, the fluid pressure estimating device 100 selects a value that is outside a preset allowable range among the estimated values of the gas fuel pressure of the general consumer and the specific consumer. It is determined whether or not there is (step ST46). In the process of step ST46, if there is a value outside the preset allowable range among the estimated gas fuel pressure values of the general consumer and the specific consumer (YES in step ST46), the fluid pressure estimating device 100 , outputs the value outside the permissible range and the customer information corresponding to the value (step ST47), and ends the pressure prediction process. The details of step ST46 and step ST47 are the same as step ST27 and step ST28 in the pressure estimation process, so the explanation will be omitted.

As described above, the fluid pressure estimating device 100 according to the first embodiment has a consumption amount acquisition unit 105 that acquires the flow rate of gas fuel in a specific period at a first specific point arranged in a conduit network N for transporting gas fuel. and a type of information indicating the relationship between the flow rate of the gas fuel in the specific period at the first specific point, the flow rate of the gas fuel in the specific period obtained in advance, and the flow rate of the gas fuel in a unit time shorter than the specific period. a consumption estimation unit 106 that estimates the flow rate of gas fuel in a unit time at a first specific point based on the above information; and a pressure acquisition unit that obtains the pressure of gas fuel in a unit time at a second specific point arranged in the conduit network N. 107, the information regarding the conduit network N acquired in advance, the flow rate of the gas fuel in the unit time at the first specific point, and the pressure of the gas fuel in the unit time at the second specific point. and a pressure estimating unit 108 that estimates the pressure of the gas fuel in unit time.

With this configuration, the fluid pressure estimating device 100 estimates the flow rate of the gas fuel in unit time at the first specific point, thereby estimating the flow rate of the gas fuel at the first specific point, which is shorter than the specific period during which the consumption amount obtaining unit 105 obtains the flow rate of the gas fuel. The pressure of the conduit network N in unit time can be obtained. This makes it possible to more precisely manage the gas fuel pressure in a shorter period than when the consumption amount acquisition unit 105 acquires the gas fuel flow rate. It becomes possible to suppress it. In addition, the fluid pressure estimating device 100 can, for example, set the unit time to be a period shorter than the interval at which the flow rate is acquired by a smart meter at some consumers, so that the unit time is set at a period shorter than the interval at which the flow rate is acquired by the smart meter. It becomes possible to estimate the pressure of the entire pipeline network by taking advantage of the fact that the consumption amount and pressure can be obtained.

Note that in the first embodiment, the fluid pressure estimating device 100 is generated based on training data including the type of consumer and information indicating a temporal change in the flow rate of fluid consumed by the consumer in a specific period. Although the process of estimating the consumption amount of general consumers is performed using a learning model based on the learning model, the present invention is not limited to this. For example, the fluid pressure estimating device 100 can also estimate the consumption amount of general consumers without using a learning model.

Next, with reference to FIGS. 9 and 10, an example of the second consumption amount estimation process in which the fluid pressure estimation device 100 according to the first embodiment estimates the consumption amount of a general consumer without using a learning model will be described. do. FIG. 9 is a flowchart showing the second consumption amount estimation process performed by the fluid pressure estimating device 100 according to the first embodiment. The second consumption amount estimation process is a process for estimating the consumption amount per unit time of the general consumer based on the consumption amount of the general customer during a specific period.

As shown in FIG. 9, when the second consumption amount estimation process is started, the fluid pressure estimation device 100 first acquires information indicating the type of change over time in the consumer's consumption amount (step ST51). The customer information storage unit 123 stores in advance types of information indicating changes in consumer consumption over time. FIG. 10 is a diagram showing consumption types S1 used in the second consumption estimation process according to the first embodiment. In the process of step ST51, the consumption estimation unit 106 refers to the information stored in the customer information storage unit 123 and acquires the type of information indicating the temporal change in the consumer's consumption.

After performing the process in step ST51, the fluid pressure estimating device 100 acquires the measured value of consumption in a specific period for each general consumer (step ST52). In this process, the consumption amount acquisition unit 105 refers to the information in the customer DB 300 and acquires the consumption amount in a specific period recorded by meter reading work for each general customer.

After performing the process in step ST52, the fluid pressure estimating device 100 calculates the average daily flow rate for each general consumer (step ST53). In this process, the consumption amount estimating unit 106 divides the measured value of the consumption amount of the general consumer in a specific period by the number of days in the specific period, and calculates the average value of the consumption amount per day of the general consumer.

After performing the process in step ST53, the fluid pressure estimating device 100 calculates an estimated value of the consumption per unit time of each general consumer (step ST54). In this process, the ratio of the average value of each general consumer to the daily consumption amount of the type obtained in the process of step ST51 is multiplied by the consumption amount per unit time of the type, and each Calculate the estimated consumption amount per unit time for a general consumer during a specific period. For example, if the average value of the daily consumption of any general consumer is twice the consumption per day indicated by the type acquired in the process of step ST51, the consumption estimation unit 106 determines that , the consumption amount twice the consumption amount per unit time of the relevant type is calculated as the estimated value S2 of the consumption amount per unit time in the specific period of the general consumer (see FIG. 10), and the second consumption amount estimation is performed. Finish the process.

In this way, by performing the second consumption amount estimation process, the fluid pressure estimating device 100 calculates the consumption amount of a general consumer in a unit time shorter than the specific period during which the consumption amount acquisition unit 105 acquires the gas fuel flow rate. It becomes possible to estimate the pressure of the gas fuel in the conduit network N in unit time.

Note that in the first embodiment, in both the first consumption estimation process and the second consumption estimation process described above, it is important to estimate the maximum value of consumption in a specific period. Processing that is not used to estimate the maximum value of the quantity may be omitted. For example, in FIG. 10, it is sufficient if it is possible to estimate the maximum value 2k of the consumption amount of the target general consumer with respect to the maximum value k of the consumption amount per unit time of type S1, and the consumption amount of type S1 is the maximum value. It is not necessary to calculate the consumption amount of general consumers for time periods other than the time period.

Further, in the first embodiment, the fluid pressure estimating device 100 that estimates the pressure of gas fuel in the low pressure conduit C2 has been described, but the fluid pressure estimating device is not limited to this. Any device that estimates the pressure may be used, and the liquid may be water or may contain solids, and the fluid may be one that estimates the pressure of a fluid in a conduit other than the low pressure conduit C2, such as an intermediate pressure conduit. You can. In addition, the consumption amount acquisition unit is not limited to acquiring the gas fuel flow rate from smart meters installed in each facility or customer DB, but can also acquire gas fuel flow rates from flow meters installed independently of each facility in the pipeline network. It may also be one that obtains the flow rate of fuel.

Note that, in the present disclosure, any component of the embodiments may be modified or any component may be omitted from the embodiments.

1: Fluid pressure management system 100: Fluid pressure estimation device 100a: Processor 100b: Memory 100c: I/O port 100d: Processing circuit 101: Pipe network information acquisition unit 102: Weather information acquisition unit 103: Customer information acquisition unit 104: Consumer classification unit 105: consumption amount acquisition unit (flow rate acquisition unit)
106: Consumption amount estimation section (flow rate estimation section)
107: Pressure acquisition unit 108: Pressure estimation unit 109: Specific pressure point extraction unit (determination unit)
120: Storage unit 121: Pipe network information storage unit 122: Weather information storage unit 123: Customer information storage unit 124: Consumption storage unit 125: Pressure storage unit 126: Calculation model storage unit 200: Weather database 300: Customer database 400: External computer C1: Medium pressure conduit (conduit)
C2: Low pressure conduit (conduit)
G: Pressure regulator M1 to Mn: Smart meter N: Pipe network P1 to P16: Facility Q1, Q2: Facility

Claims (10)

a flow rate acquisition unit that acquires the flow rate of the fluid in the first period at the first specific point arranged in the conduit network for transporting the fluid;
a period flow rate relationship indicating the relationship between the fluid flow rate in the first period at the first specific point, the fluid flow rate in the first period obtained in advance, and the fluid flow rate in a second period shorter than the first period; a flow rate estimation unit that estimates the flow rate of the fluid in the second period at the first specific point based on the information;
a pressure acquisition unit that acquires the pressure of the fluid in the second period at a second specific point arranged in the conduit network;
The first specified point is based on information regarding the conduit network acquired in advance, the flow rate of the fluid at the first specified point during the second period, and the pressure of the fluid at the second specified point during the second period. A fluid pressure estimating device comprising: a pressure estimating unit that estimates the pressure of the fluid in the second period at a point. The flow rate acquisition unit acquires the flow rate of the fluid consumed in the first period at the first specific point,
The flow rate estimating unit is configured to estimate the flow rate at the first specific point in the second period based on the flow rate of the fluid consumed in the first period at the first specific point and the period flow rate relationship information acquired in advance. The fluid pressure estimating device according to claim 1, wherein the fluid pressure estimating device estimates a flow rate of fluid to be consumed. The fluid pressure estimating device according to claim 2, wherein the period flow rate relationship information is information indicating a temporal change in the flow rate of the fluid consumed in the first period. The fluid pressure estimating device according to claim 3, wherein the period flow rate related information is information according to the type of consumer who consumes the fluid. The period flow rate related information is learning generated based on training data including the type of consumer who consumes fluid and information indicating a temporal change in the flow rate of fluid consumed by the consumer in the first period. The fluid pressure estimating device according to claim 4, wherein the inference is made by a model according to the type of consumer who consumes the fluid at the first specific point. The flow rate acquisition unit acquires information indicating a temporal change in the flow rate of the fluid consumed in the first period at a third specific point arranged in the conduit network,
The teacher data is characterized in that it includes the type of the consumer who consumes the fluid at the third specific point, and information indicating a temporal change in the flow rate of the fluid consumed by the consumer in the first period. The fluid pressure estimating device according to claim 5. The pressure acquisition unit acquires the pressure in the second period at a fourth specific point arranged in the conduit network,
The pressure estimation unit is based on information regarding the conduit network acquired in advance, a fluid flow rate at the first specific point during the second period, and a fluid pressure at the second specific point during the second period. estimating the fluid pressure in the second period at the fourth specific point,
The pressure estimating unit is configured to calculate the fluid pressure in the second period at the fourth specific point acquired by the pressure acquiring unit and the fluid pressure in the second period at the fourth specific point estimated by the pressure estimating unit. If the difference between 3. The fluid pressure estimating device according to claim 2. The flow rate estimating unit includes meteorological information regarding meteorological elements in the second period and meteorological elements in a third period that is a period after the second period, and the flow rate of the fluid in the second period at the first specific point. Estimating the flow rate of the fluid in the third period at the first specific point based on,
The pressure acquisition unit acquires the pressure of the fluid at the second specific point during the third period,
The pressure estimation unit is based on information regarding the conduit network acquired in advance, a fluid flow rate at the first specific point during the third period, and a fluid pressure at the second specific point during the third period. The fluid pressure estimating device according to claim 2, wherein the fluid pressure in the third period at the first specific point is estimated. Any one of claims 1 to 8, further comprising a determining unit that determines whether the pressure of the fluid at the first specific point estimated by the pressure estimating unit is within a preset range. The fluid pressure estimating device according to item 1. A fluid pressure estimation method performed by a device including a flow rate acquisition unit, a flow rate estimation unit, a pressure acquisition unit, and a pressure estimation unit, the method comprising:
a step in which the flow rate acquisition unit acquires a fluid flow rate in a first period at a first specific point arranged in a conduit network for transporting fluid;
The flow rate estimating unit calculates the flow rate of the fluid in the first period at the first specific point, the flow rate of the fluid in the first period acquired in advance, and the flow rate of fluid in a second period shorter than the first period. estimating the flow rate of the fluid in the second period at the first specific point based on period flow rate relationship information indicating a relationship;
a step in which the pressure acquisition unit acquires the pressure of the fluid in the second period at a second specific point arranged in the conduit network;
The pressure estimation unit is based on information regarding the conduit network acquired in advance, the flow rate of the fluid at the first specific point in the second period, and the pressure of the fluid at the second specific point in the second period. A method for estimating fluid pressure, comprising: estimating the pressure of the fluid at the first specific point during the second period.

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