Optimized scheduling method for reducing energy consumption and leakage rate of water supply system

Abstract

The invention discloses an optimal scheduling method for reducing energy consumption and leakage rate of a water supply system, and belongs to the technical field of water supply. The method comprises the following steps: establishing a pipe network mathematical model of a water supply system to monitor a water supply pipe network in real time; the pipe network mathematical model can detect the actual energy consumption and leakage rate of the water supply pipe network, and monitors and calculates the parameters of the theoretical energy consumption and leakage rate and the parameters required for optimizing the scheduling strategy. And calculating the theoretical energy consumption and leakage rate of the water supply system according to the parameters monitored in real time. The theoretical energy consumption and the leakage rate are compared with the actual energy consumption and the leakage rate, and if the difference value is larger than a set threshold value, a scheduling strategy is optimized according to the optimization calculation result of the energy consumption and the leakage rate; the optimization calculation comprises the steps of calculating the minimum value of the sum of the power of the multiple pump stations, and calculating the minimum value of the sum of the leakage rates of the multiple sections of pipelines; the scheduling strategy adjustment comprises equipment replacement and maintenance and pipeline repair. And obtaining the actual energy consumption and the leakage rate after the scheduling strategy is optimized, and evaluating the scheduling strategy.

Description

Technical Field

[0001] The invention belongs to the technical field of water supply, and in particular relates to an optimization scheduling method for reducing energy consumption and leakage rate of a water supply system. Background Art

[0002] The water supply network system is the lifeline of the city and the basic guarantee for people's lives and production. Although the water content on the earth is about 1.4 billion cubic kilometers, the available water volume is actually less than 45,000 cubic kilometers. Therefore, a water supply system is needed to ensure people's daily water supply needs.

[0003] When the existing water supply system is in use, in order to ensure the normal operation of the entire water supply system, a pump station is needed to transport water, which will generate energy consumption. At the same time, water will leak during the transportation process due to damage to the pipeline and equipment. At this time, the energy consumption and leakage rate of the entire water supply system will be very high, resulting in a waste of resources. Summary of the invention

[0004] In order to solve the above problems, the embodiment of the present invention provides an optimization scheduling method for reducing the energy consumption and leakage rate of the water supply system, which can reduce the energy consumption and leakage rate of the water supply system and reduce the waste of resources. The technical solution is as follows: An embodiment of the present invention provides an optimization scheduling method for reducing energy consumption and leakage rate of a water supply system, the method comprising: S101: Establish a pipe network mathematical model of the water supply system to conduct real-time monitoring of the water supply network.

[0005] S102: The theoretical energy consumption and leakage rate of the water supply system in a certain period of time are calculated based on the real-time monitored parameters.

[0006] S103: Compare the theoretical energy consumption and leakage rate with the actual energy consumption and leakage rate. If the difference is greater than a set threshold, optimize the scheduling strategy according to the optimization calculation results of the energy consumption and leakage rate.

[0007] S104: Obtain the actual energy consumption and leakage rate after optimizing the scheduling strategy, and evaluate the scheduling strategy.

[0008] Among them, in step S101, the mathematical model of the pipeline network can monitor the actual energy consumption and leakage rate of the water supply pipeline network, and monitor the parameters for calculating the theoretical energy consumption and leakage rate and the parameters required for the optimization scheduling strategy; in step S103, the energy consumption optimization calculation is: calculating the minimum value of the sum of the theoretical energy consumption of multiple pumping stations; the optimization calculation of the leakage rate is: calculating the minimum value of the sum of the leakage rates of multiple sections of pipelines; the optimization scheduling strategy includes: replacing and maintaining equipment and repairing pipelines.

[0009] Among them, the mathematical model of the pipeline network includes water source characteristics, pump station conditions and pipeline network characteristics; the water source characteristics include water source water level and water source flow; the pump station conditions include the distribution of pump stations, the number of water pumps in the pump stations and the flow of the pump stations; the pipeline network characteristics include the service length of the pipeline network, the diameter of the pipeline network, the service life of the pipeline network and the material of the pipeline network.

[0010] The parameters to be monitored in real time include: water flow and water pressure of the pumping station, energy consumption of the pumping station, leakage of the pipe network, and points prone to leakage.

[0011] The calculation formula of theoretical energy consumption is: ; in, is the static energy consumption, is the dynamic energy consumption; in, is the efficiency of the pump station, Q is the flow rate of the pump, It is the rising head of water. , They correspond to the flow rate and power within a certain period of time respectively, and T is the time interval.

[0012] Specifically, It is 0.6-0.9.

[0013] The calculation formula of theoretical leakage rate is: (Leakage amount in a certain period of time / Water supply in a certain period of time)*100%.

[0014] Among them, the optimization calculation process of energy consumption is: ; in, represents the number of pumping stations, represents the theoretical energy consumption of pumping station i.

[0015] Among them, the optimization calculation process of leakage rate is: ; in, represents the leakage caused by the flow through pipeline segment j, Represents the leakage coefficient of pipeline section j.

[0016] The optimization scheduling strategy specifically includes: adjusting the power of the water pump and its operating time, replacing some high-energy-consuming equipment, controlling the pressure of the pipe network, and / or replacing and repairing some damaged, aged, and leak-prone pipes.

[0017] The evaluation of the scheduling strategy includes: calculating the difference between the actual energy consumption and the leakage rate before and after the optimization, and determining the optimization direction of the scheduling strategy according to the difference.

[0018] The beneficial effect of the technical solution provided by the embodiment of the present invention is: when the method is used, a corresponding mathematical model can be established, and then the operating data of the water supply network in the model can be collected, and the collected data can be brought into the corresponding calculation formula. The operating data of the water supply network before optimization can be obtained through the calculation formula, and compared with the actual detection value to determine whether optimization is needed; if optimization is needed, the calculation formula for reducing the energy consumption of the water supply network and the calculation formula for reducing the leakage rate of the water supply network are optimized according to the calculation method, and then the corresponding scheduling method is formulated according to the calculation formula, and then the optimized water supply network operating data is compared with the operating data before optimization, so that users can understand the optimized values. Finally, the water supply network can be monitored at multiple points according to the operating data of the optimized water supply network, thereby ensuring that the entire water supply network can be in a low energy consumption and low leakage rate operating state. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 It is a flow chart of an optimization scheduling method for reducing energy consumption and leakage rate of a water supply system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings.

[0020] Example 1 See also Figure 1 Embodiment 1 discloses an optimization scheduling method for reducing energy consumption and leakage rate of a water supply system, the method comprising: S101: Establish a pipe network mathematical model of the water supply system to conduct real-time monitoring of the water supply network.

[0021] S102: The theoretical energy consumption and leakage rate of the water supply system in a certain period of time are calculated based on the real-time monitored parameters.

[0022] S103: Compare the theoretical energy consumption and leakage rate with the actual energy consumption and leakage rate. If the difference is greater than a set threshold, optimize the scheduling strategy according to the optimization calculation results of the energy consumption and leakage rate.

[0023] S104: Obtain the actual energy consumption and leakage rate after optimizing the scheduling strategy, and evaluate the scheduling strategy.

[0024] Among them, in step S101, the mathematical model of the pipe network can monitor the actual energy consumption and leakage rate of the water supply pipe network, and monitor the parameters for calculating the theoretical energy consumption and leakage rate and the parameters required for the optimization scheduling strategy. In step S103, the energy consumption optimization calculation is: calculating the minimum value of the sum of the theoretical energy consumption of multiple pumping stations; the leakage rate optimization calculation is: calculating the minimum value of the sum of the leakage rates of multiple sections of pipelines. The optimization scheduling strategy includes: replacing and maintaining equipment and repairing pipelines.

[0025] Example 2 See also Figure 1 Embodiment 2 discloses an optimization scheduling method for reducing energy consumption and leakage rate of a water supply system, the method comprising: S101: Establish a mathematical model of the pipe network of the water supply system to monitor the water supply pipe network in real time (obtain corresponding parameters through various monitors, sensors and collectors, etc.). Among them, the pipe network mathematical model includes water source characteristics, pump station conditions and pipe network characteristics. Specifically, water source characteristics include water source water level and water source flow, etc.; pump station conditions include the distribution of pump stations, the number of water pumps in the pump stations and the flow of the pump stations, etc.; pipe network characteristics include the service length of the pipe network, the diameter of the pipe network, the service life of the pipe network and the material of the pipe network, etc. Among them, the parameters monitored in real time include: water flow and water pressure of the pump station, energy consumption of the pump station, leakage of the pipe network and points prone to leakage, etc.

[0026] S102: The theoretical energy consumption and leakage rate of the water supply system in a certain period of time are calculated based on the real-time monitored parameters.

[0027] The calculation formula of theoretical energy consumption is: ; in, is the static energy consumption, is the dynamic energy consumption.

[0028] in, It is the efficiency of the pump station operation, usually 0.6-0.9. Q is the flow rate of the pump, in cubic meters per hour. is the raised head in metres. , They correspond to the flow rate and power in a certain period of time respectively. T is the time interval in hours, which can be 24 hours.

[0029] Among them, the calculation formula for the theoretical leakage rate is: (leakage amount in a certain time period / water supply in a certain time period)*100%.

[0030] S103: Compare the theoretical energy consumption and leakage rate with the actual energy consumption and leakage rate. If the difference is greater than the set threshold (which can be an empirical value or a value obtained through long-term monitoring), optimize the scheduling strategy according to the optimized calculation results of the energy consumption and leakage rate. Adjusting the scheduling strategy specifically includes: adjusting the power and operating time of the water pump to reduce energy consumption, replacing some high-energy-consuming equipment to reduce energy consumption, controlling the pipe network pressure to reduce the leakage rate, and / or replacing and repairing some damaged, aged, and leak-prone pipes to reduce the leakage rate. Make the actual energy consumption and leakage rate as close as possible to the energy consumption and leakage rate after the optimization calculation.

[0031] Among them, the optimization calculation process of energy consumption is: .

[0032] in, Indicates the number of pumping stations. Represents the theoretical energy consumption of pumping station i, in kilowatts.

[0033] Among them, the optimization calculation process of leakage rate is: .

[0034] in, represents the leakage caused by the flow through pipeline segment j, Represents the leakage coefficient of pipeline section j.

[0035] S104: Obtain the actual energy consumption and leakage rate after optimizing the scheduling strategy, and evaluate the scheduling strategy (such as the positive and negative value of the difference before and after optimization, etc.). The evaluation of the scheduling strategy includes: calculating the difference between the actual energy consumption and leakage rate before and after optimization, and determining the optimization direction of the scheduling strategy based on the difference. Finally, formulate a corresponding management mechanism to monitor the entire water supply system in real time, and regularly optimize the calculation model to ensure that the energy consumption and leakage rate of the entire water supply system are maintained at a low value.

[0036] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An optimization scheduling method for reducing energy consumption and leakage rate of a water supply system, characterized in that: The method comprises: S101: Establish a pipe network mathematical model of the water supply system to conduct real-time monitoring of the water supply network; S102: Calculate the theoretical energy consumption and leakage rate of the water supply system in a certain period of time based on the real-time monitored parameters; S103: comparing the theoretical energy consumption and leakage rate with the actual energy consumption and leakage rate, and if the difference is greater than a set threshold, optimizing the scheduling strategy according to the optimization calculation results of the energy consumption and leakage rate; S104: Obtaining actual energy consumption and leakage rate after optimizing the scheduling strategy, and evaluating the scheduling strategy; Among them, in step S101, the mathematical model of the pipeline network can monitor the actual energy consumption and leakage rate of the water supply pipeline network, and monitor the parameters for calculating the theoretical energy consumption and leakage rate and the parameters required for the optimization scheduling strategy; in step S103, the energy consumption optimization calculation is: calculating the minimum value of the sum of the theoretical energy consumption of multiple pumping stations; the optimization calculation of the leakage rate is: calculating the minimum value of the sum of the leakage rates of multiple sections of pipelines; the optimization scheduling strategy includes: replacing and maintaining equipment and repairing pipelines.

2. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 1, characterized in that: The pipe network mathematical model includes water source characteristics, pump station conditions and pipe network characteristics; Among them, the water source characteristics include water level and flow rate; the pump station conditions include the distribution of pump stations, the number of water pumps in the pump stations and the flow rate of the pump stations; the pipe network characteristics include the service length of the pipe network, the diameter of the pipe network, the service life of the pipe network and the material of the pipe network.

3. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 2, characterized in that: The parameters monitored in real time include: water flow and water pressure of the pump station, energy consumption of the pump station, leakage of the pipe network and points prone to leakage.

4. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 1, characterized in that: The theoretical energy consumption is calculated as follows: ； in, is the static energy consumption, is the dynamic energy consumption; in, is the efficiency of the pump station, Q is the flow rate of the pump, It is the rising head of water. , They correspond to the flow rate and power within a certain period of time respectively, and T is the time interval.

5. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 4, characterized in that: It is 0.6-0.

9.

6. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 1, characterized in that: The calculation formula of theoretical leakage rate is: (Leakage amount in a certain period of time / Water supply in a certain period of time)*100%.

7. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 4, characterized in that: The optimization calculation process of energy consumption is: ； in, represents the number of pumping stations, represents the theoretical energy consumption of pumping station i.

8. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 6, characterized in that: The optimization calculation process of leakage rate is: ； in, represents the leakage caused by the flow through pipeline segment j, Represents the leakage coefficient of pipeline section j.

9. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 1, characterized in that: The optimization scheduling strategy specifically includes: adjusting the power of the water pump and its operating time, replacing some high-energy-consuming equipment, controlling the pressure of the pipeline network and / or replacing and repairing some damaged, aged, and leak-prone pipelines.

10. The optimization scheduling method for reducing energy consumption and leakage rate of a water supply system according to claim 1, characterized in that: The evaluation of the scheduling strategy includes: calculating the difference between the actual energy consumption and the leakage rate before and after the optimization, and determining the optimization direction of the scheduling strategy according to the difference.

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