Water pumping station remote control system adaptive to water supply network

Abstract

The invention discloses a water pumping station remote control system adaptive to a water supply network, relates to the technical field of water pumping station control, and solves the technical problem that in the prior art, a water pumping station operation decision cannot be made when remote control is abnormal, and the supply efficiency is reduced. Specifically, a remote control influence analysis unit performs control influence analysis on remote detection of a water supply network, acquires control aging data and control interference data, and deduces whether the remote control influence analysis is normal or not according to data analysis; the signal abnormity control decision-making unit performs control signal abnormity decision-making on the water supply network, acquires decision-making duration information and decision-making frequency information, and deduces whether the supply decision of the current water pump station is adaptive or not according to information comparison.

Description

Technical Field

[0001] The invention relates to the technical field of water pump station control, in particular to a water pump station remote control system adapted to a water supply network. Background Art

[0002] A water pump station is a hydraulic facility used to pump water, deliver water, and raise water levels. Its main function is to extract water from water sources (such as rivers, lakes, groundwater, etc.) through a water pump unit, and then deliver the water to where it is needed through a pipeline system; remote control of a water supply pump station is a technology that uses communication technology and automation systems to operate and monitor the equipment of a water pump station at a location far away from the water pump station site.

[0003] However, in the existing technology, it is impossible to differentiate the performance of each water pump in the water pump station, so that the control efficiency is reduced, and the remote data collection cannot be verified, which reduces the data accuracy. In addition, it is impossible to analyze the impact of remote control, the efficiency of remote control cannot be guaranteed, and the water pump station operation decision cannot be made when the remote control is abnormal, which reduces the supply efficiency.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a water pump station remote control system suitable for a water supply network.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A remote control system for a water pump station adapted to a water supply network includes a remote control center, wherein the remote control center is communicatively connected to a network water pump operation differentiation unit, a collection data verification unit, a remote control impact analysis unit, and a signal abnormality control decision unit;

[0008] The network water pump operation differentiation unit differentiates the water pump operation of the water pump stations in the water supply network, marks the water pump stations in the water supply network as water pump groups, and uniformly marks the water pumps installed in the water pump groups as sub-water pumps; obtains the centralized operation stage and the partial operation stage, and obtains the centralized scene information and the partial scene information according to each stage, and infers whether there is a performance deviation of the sub-water pumps in the water pump group through information analysis;

[0009] The data collection and verification unit conducts remote data verification on the water supply network, performs data collection and detection on the data collection terminals installed in the water supply network, and marks the data collection terminals as remote detection points, and the number is not unique. The data collection and verification information is collected, and the data collection and verification coefficient is obtained by calculation. The accuracy of the data collection and verification of the water supply network is inferred by comparing the coefficients.

[0010] The remote control impact analysis unit performs control impact analysis on the remote detection of the water supply network, collects control timeliness data and control interference data, and infers whether the remote control impact analysis is normal based on data analysis;

[0011] The signal abnormality control decision unit makes control signal abnormality decisions on the water supply network, collects decision duration information and decision frequency information, and infers whether the current water pump station supply decision is suitable based on information comparison.

[0012] As a preferred embodiment of the present invention, the centralized scene information and the partial scene information are respectively the maximum span value of the deviation value of the operating floating frequency corresponding to the set pressure of the operating sub-pumps of the water pump group in the centralized operation stage, and the span value ratio of the increased span of the fault frequency in the actual operation cycle of any sub-pump in the partial operation stage to the shortened span of the fault-free standby time in the non-operating cycle.

[0013] As a preferred embodiment of the present invention, if the concentrated scene information exceeds the maximum span threshold of the deviation, or the partial scene information exceeds the span value ratio threshold, a performance deviation risk signal is generated; if the concentrated scene information does not exceed the maximum span threshold of the deviation, and the partial scene information does not exceed the span value ratio threshold, a performance deviation safety signal is generated.

[0014] As a preferred embodiment of the present invention, the data verification information includes the maximum data deviation of the same type of detection data corresponding to the same detection time at adjacent remote detection points in the water supply network, the duration of time when the same type of detection data corresponding to adjacent remote detection points exceeds the maximum data deviation value, the delay time value between the floating time of the same type of detection data in the operation log of the water supply network corresponding to the adjacent remote detection points and the remote collection time, and the deviation between the cumulative floating time of the same type of detection data in the operation log of the corresponding adjacent remote detection points and the duration of the maximum data deviation value.

[0015] As a preferred embodiment of the present invention, if the collected data verification coefficient of the water supply network exceeds the data verification coefficient threshold, a verification abnormality signal is generated; if the collected data verification coefficient of the water supply network does not exceed the data verification coefficient threshold, a verification normal signal is generated.

[0016] As a preferred embodiment of the present invention, the control timeliness data and the control interference data are respectively the deviation amount when the detection data at the corresponding time when the remote control decision execution instruction is sent to the water supply network is not within the detection data range of the corresponding control decision, and the excess amount of the remote control decision time and the corresponding type of detection data out-of-range floating time when the surrounding environment affects the floating during the remote data transmission stage.

[0017] As a preferred embodiment of the present invention, if the control timeliness data exceeds the deviation threshold, or the control interference data exceeds the excess threshold, a remote control high impact signal is generated; if the control timeliness data does not exceed the deviation threshold, and the control interference data does not exceed the excess threshold, a remote control low impact signal is generated and sent to the remote control center.

[0018] As a preferred embodiment of the present invention, the decision duration information and the decision frequency information are respectively the numerical ratio of the water supply waiting time and the water supply demand duration at the water demand end of the water supply network under the current water pump station operation decision within the dynamic decision period, and the adjustment frequency that matches the demand with the real-time water pressure value and the demand water pressure value of the water supply network under the current water pump station operation decision within the dynamic decision period.

[0019] As a preferred embodiment of the present invention, if the decision duration information exceeds the duration value ratio threshold, or the decision frequency information exceeds the adjustment frequency threshold, a dynamic decision control signal is generated; if the decision duration information does not exceed the duration value ratio threshold, and the decision frequency information does not exceed the adjustment frequency threshold, a dynamic decision unchanged signal is generated.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. In the present invention, the operation of water pumps in the water supply network is differentiated, and the degree of operation wear between non-single water pumps in the water pump station is inferred according to the real-time operation process, so as to analyze the deviation of water pump operation performance in real time, ensure the remote control efficiency of the water pump station, avoid the deviation of water pump operation performance leading to the inability to efficiently complete the remote control task of the water pump station, and increase the wear rate of high-performance water pumps;

[0022] Conduct remote data verification on the water supply network to infer whether there are deviations in the remotely collected data during the remote control process, so as to infer whether the remote control of the water pump station is feasible based on the real-time operation data collection and verification of the water supply network, and avoid the situation where the accuracy of data collection and verification is low so that effective decision-making remote control operations cannot be carried out, and when the collected data is biased, the probability of decision-making errors is high, and there is a risk of affecting the operation and supply of the water supply network.

[0023] 2. In the present invention, the remote detection of the water supply network is used to perform control impact analysis to infer whether there is any impact of real-time remote control during the remote monitoring and control process, so as to reduce the efficiency of remote control, delay remote water pump control based on real-time collected data, and ensure the high efficiency of the water supply network;

[0024] Make abnormal control signal decisions for the water supply network, that is, set the remote control strategy for the water pump station of the water supply network when the remote control signal is abnormal, ensure the dynamic adjustment of the strategy, and avoid the real-time remote control signal abnormality that leads to the inability to update the control decision and make operating decisions on the water pump station, thereby reducing the operating efficiency of the water pump station and reducing the supply efficiency of the water supply network. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0026] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] See also Figure 1 As shown, a remote control system for a water pump station adapted for a water supply network includes a remote control center, wherein the remote control center is communicatively connected to a network water pump operation differentiation unit, a collection data verification unit, a remote control impact analysis unit, and a signal abnormality control decision unit;

[0030] The remote control center generates a network water pump operation differentiation signal and sends the network water pump operation differentiation signal to the network water pump operation differentiation unit. After receiving the network water pump operation differentiation signal, the network water pump operation differentiation unit distinguishes the water pump operation of the water pump station in the water supply network, and infers the degree of operation wear between non-single water pumps in the water pump station according to the real-time operation process, so as to perform real-time analysis of the water pump operation performance deviation, ensure the remote control efficiency of the water pump station, avoid the deviation of the water pump operation performance, and cause the remote control task of the water pump station to be unable to be completed efficiently, and also increase the wear rate of high-performance water pumps;

[0031] The pump stations of the water supply network are marked as pump groups, and the pumps installed in the pump groups are uniformly marked as sub-pumps; and the operation of all sub-pumps in the water supply network is distinguished, and a quantity threshold is set according to the number of sub-pumps in operation of the pump group. If the number of sub-pumps in real-time operation in the current operation stage exceeds the set quantity threshold, the current operation is marked as a centralized operation stage; if the number of sub-pumps in real-time operation in the current operation stage does not exceed the set quantity threshold, the current operation is marked as a partial operation stage;

[0032] The maximum span value of the deviation value of the operating floating frequency corresponding to the set pressure of the operating sub-pumps of the water pump group in the centralized operation stage is obtained, and at the same time, the corresponding span value ratio of the fault frequency increase span in the actual operation cycle of any sub-pump in the partial operation stage and the fault-free standby time shortening span in the non-operating cycle is obtained, wherein the fault frequency increase span is the corresponding increase span obtained by the detection of the fault frequency, and the fault-free standby time shortening speed is obtained by monitoring the fault-free standby time to obtain the time shortening speed, and the fault-free standby time indicates that the water pump is released from the standby state and operates. When it cannot operate due to a fault, the current standby time is set as the fault time, and the shortest fault time is used as the real-time fault-free standby time of the water pump;

[0033] The maximum span value of the deviation of the operating floating frequency of the sub-pumps of the pump group corresponding to the set pressure in the centralized operation stage, and the span value ratio of the increased span of the fault frequency in the actual operation cycle of any sub-pump in the partial operation stage to the shortened span of the fault-free standby time in the non-operating cycle are marked as centralized scene information and partial scene information, respectively, and compared with the maximum span threshold of the deviation and the span value ratio threshold, respectively:

[0034] If the maximum span value of the deviation value of the operating floating frequency corresponding to the set pressure of the operating sub-pumps of the water pump group in the centralized operation stage exceeds the maximum span threshold of the deviation, or the span value ratio corresponding to the span of the increased fault frequency in the actual operation cycle of any sub-pump in the partial operation stage and the shortened span of the fault-free standby time in the non-operating cycle exceeds the span value ratio threshold, it is inferred that there is a performance deviation of the sub-pumps in the water pump group, and a performance deviation risk signal is generated and sent to the remote control center. After receiving the performance deviation risk signal, the remote control center controls the operation of the current water pump group to ensure the reasonable planning of the water pump operation intensity;

[0035] If the maximum span value of the deviation value of the operating floating frequency corresponding to the set pressure of the operating sub-pumps of the water pump group during the centralized operation stage does not exceed the maximum span threshold of the deviation, and the span value ratio of the increased span of the fault frequency in the actual operation cycle of any sub-pump during the partial operation stage to the shortened span of the fault-free standby time in the non-operating cycle does not exceed the span value ratio threshold, it is inferred that there is no performance deviation of the sub-pumps in the water pump group, and a performance deviation safety signal is generated and sent to the remote control center;

[0036] After receiving the performance deviation safety signal, the remote control center generates a data collection verification signal and sends the data collection verification signal to the data collection verification unit. After receiving the data collection verification signal, the data collection verification unit conducts remote data verification on the water supply network to infer whether there is a deviation in the remote data collection during the remote control process, so as to infer whether the remote control of the water pump station is feasible based on the real-time operation data collection and verification of the water supply network, so as to avoid the low accuracy of data collection and verification so that effective decision-making remote control operations cannot be carried out, and the high probability of decision-making errors when the collection data is deviated, and there is a risk of affecting the operation and supply of the water supply network;

[0037] Perform data collection and detection on the data collection terminals set in the water supply network, and mark the data collection terminals as remote detection points, and the number is not unique. The data collection terminals are sensors of various parameters in the prior art;

[0038] The maximum data deviation of the same type of detection data corresponding to the same detection time at adjacent remote detection points in the water supply network is obtained, and the duration of the same type of detection data corresponding to the adjacent remote detection points exceeding the maximum data deviation value is obtained, and the maximum data deviation of the same type of detection data corresponding to the same detection time at adjacent remote detection points in the water supply network and the duration of the same type of detection data corresponding to the adjacent remote detection points exceeding the maximum data deviation value are marked as CJP and CSX respectively; the detection data are represented as parameters such as the water supply volume of the pipe network and the supply pressure of the water pump;

[0039] Obtain the delay time value between the floating time and the remote collection time of the same type of detection data in the operation log of the corresponding adjacent remote detection point of the water supply network, and obtain the deviation between the cumulative floating time and the maximum data deviation value duration of the same type of detection data in the operation log of the corresponding adjacent remote detection point, and mark the delay time value between the floating time and the remote collection time of the same type of detection data in the operation log of the corresponding adjacent remote detection point of the water supply network and the deviation between the cumulative floating time and the maximum data deviation value duration of the same type of detection data in the operation log of the corresponding adjacent remote detection point as SYS and PCS respectively;

[0040] The above collected information is uniformly marked as data verification information, and substituted into the formula to obtain the collected data verification coefficient of the water supply network. The formula is: Among them, G is the data collection verification coefficient, feq1, feq2, feq3, and feq4 are preset proportional coefficients, and feq1, feq2, feq3, and feq4 are all natural numbers greater than 1, e is a natural constant, and β is an error correction factor with a value of 1.23;

[0041] Compare the collected data verification coefficient of the water supply network with the data verification coefficient threshold:

[0042] If the data collection verification coefficient of the water supply network exceeds the data verification coefficient threshold, it is inferred that the data collection verification accuracy of the water supply network is low, and a verification abnormality signal is generated and sent to the remote control center. After receiving the verification abnormality signal, the remote control center plans the location of the remote detection point of the water supply network and changes the terminal model to ensure the accuracy of data collection;

[0043] If the data collection verification coefficient of the water supply network does not exceed the data verification coefficient threshold, it is inferred that the data collection verification accuracy of the water supply network is high, and a verification normal signal is generated and sent to the remote control center;

[0044] After receiving the verification signal, the remote control center executes remote control of the water supply network, generates a remote control impact analysis signal and sends the remote control impact analysis signal to the remote control impact analysis unit. After receiving the remote control impact analysis signal, the remote control impact analysis unit performs control impact analysis on the remote detection of the water supply network, and infers whether there is any impact on the real-time remote control during the remote monitoring and control process, so as to reduce the efficiency of remote control, delay the remote water pump control according to the real-time collected data, and ensure the efficient operation of the water supply network.

[0045] During the remote control stage, the detection data of the water supply network is collected remotely to make a water supply network operation decision. After the detection data of the water supply network at the corresponding moment is transmitted and a decision is made, the deviation amount of the detection data at the corresponding moment when the remote control decision execution instruction is sent to the water supply network that is not within the detection data range of the corresponding control decision is obtained, and the deviation amount of the detection data at the corresponding moment when the remote control decision execution instruction is sent to the water supply network that is not within the detection data range of the corresponding control decision is marked as control timeliness data; specifically, the value of the detection data of the water supply network at the corresponding moment when the remote control decision execution instruction is sent to the water supply network is not within the detection data range, which is recorded as the deviation amount;

[0046] The excess of the remote control decision-making time and the over-range floating time of the corresponding type of detection data when the surrounding environment influences the floating in the remote data transmission stage is obtained, wherein the over-range floating is indicated by the large floating span of the detection data range, and the control decisions corresponding to the two ranges are inconsistent, and the excess of the remote control decision-making time and the over-range floating time of the corresponding type of detection data when the surrounding environment influences the floating in the remote data transmission stage is marked as control interference data; the surrounding environment influence is indicated by the influence of electromagnetic interference, temperature and other influences in the surrounding environment;

[0047] And the control time efficiency data and control interference data are compared with the deviation threshold and the excess threshold respectively:

[0048] If the control timeliness data exceeds the deviation threshold, or the control interference data exceeds the excess threshold, it is inferred that the remote control impact analysis is abnormal, a remote control high impact signal is generated and sent to the remote control center, and the remote control center adjusts the cycle of real-time remote control and detects and prevents real-time environmental impacts;

[0049] If the control timeliness data does not exceed the deviation threshold, and the control interference data does not exceed the excess threshold, it is inferred that the remote control impact analysis is normal, and a remote control low impact signal is generated and sent to the remote control center;

[0050] After receiving the remote control high-impact signal, the remote control center generates a signal abnormality control decision signal and sends the signal abnormality control decision signal to the signal abnormality control decision unit. After receiving the signal abnormality control decision signal, the signal abnormality control decision unit makes a control signal abnormality decision on the water supply network, that is, when the remote control signal is abnormal, the remote control strategy of the water pump station of the water supply network is set to ensure the dynamic adjustment of the strategy and avoid the control decision being unable to be updated due to the real-time remote control signal abnormality, and the water pump station cannot be operated. The decision is made, which reduces the operating efficiency of the water pump station, thereby reducing the supply efficiency of the water supply network;

[0051] The remote control signal abnormal period is marked as a dynamic decision period, and the corresponding time value ratio of the water supply waiting time and the water supply demand duration of the water demand end of the water supply network under the current water pump station operation decision during the dynamic decision period is obtained, and the corresponding time value ratio of the water supply waiting time and the water supply demand duration of the water demand end of the water supply network under the current water pump station operation decision during the dynamic decision period is marked as decision duration information;

[0052] Obtain the adjustment frequency that matches the demand of the real-time water pressure value of the water supply network and the demand water pressure value under the current water pump station operation decision during the dynamic decision period, and mark the adjustment frequency that matches the demand of the real-time water pressure value of the water supply network and the demand water pressure value under the current water pump station operation decision during the dynamic decision period as decision frequency information;

[0053] And the decision duration information and decision frequency information are compared with the duration value ratio threshold and the adjustment frequency threshold respectively:

[0054] If the decision duration information exceeds the duration value ratio threshold, or the decision frequency information exceeds the adjustment frequency threshold, it is inferred that the current water pump station supply decision is not suitable, and a dynamic decision control signal is generated and sent to the remote control center. After receiving the dynamic decision control signal, the remote control center adjusts the water pump station pressure according to the control trend of the current control decision and the adjacent decision time, combined with the water supply demand of the actual water supply network;

[0055] If the decision duration information does not exceed the duration value ratio threshold, and the decision frequency information does not exceed the adjustment frequency threshold, it is inferred that the supply decision of the current water pump station is adapted, a dynamic decision unchanged signal is generated, and the dynamic decision unchanged signal is sent to the remote control center;

[0056] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0057] When the present invention is in use, the network water pump operation differentiation unit differentiates the water pump operation of the water pump stations in the water supply network, obtains the centralized operation stage and the partial operation stage, and obtains the centralized scene information and the partial scene information according to each stage, and infers whether there is a performance deviation of the sub-water pumps in the water pump group through information analysis; the data collection and verification unit performs remote data verification on the water supply network, collects data verification information, obtains the collection data verification coefficient through calculation, and infers the data collection and verification accuracy of the water supply network through coefficient comparison; the remote control impact analysis unit performs control impact analysis on the remote detection of the water supply network, collects control timeliness data and control interference data, and infers whether the remote control impact analysis is normal based on the data analysis; the signal abnormality control decision unit performs control signal abnormality decision on the water supply network, collects decision duration information and decision frequency information, and infers whether the supply decision of the current water pump station is suitable based on information comparison.

[0058] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote control system for a water pump station adapted to a water supply network, characterized in that: It includes a remote control center, wherein the remote control center is connected to a network water pump operation differentiation unit, a collection data verification unit, a remote control impact analysis unit, and a signal abnormality control decision unit; The network water pump operation distinguishing unit distinguishes the water pump operation of the water pump stations in the water supply network, marks the water pump stations in the water supply network as water pump groups, and the water pumps arranged in the water pump groups are uniformly marked as sub-water pumps; Obtain the centralized operation stage and the partial operation stage, and obtain the centralized scene information and the partial scene information according to each stage, and infer whether there is a performance deviation of the sub-pumps in the pump group through information analysis; The data collection and verification unit conducts remote data verification on the water supply network, performs data collection and detection on the data collection terminals installed in the water supply network, and marks the data collection terminals as remote detection points, and the number is not unique. The data collection and verification information is collected, and the data collection and verification coefficient is obtained by calculation. The accuracy of the data collection and verification of the water supply network is inferred by comparing the coefficients. The remote control impact analysis unit performs control impact analysis on the remote detection of the water supply network, collects control timeliness data and control interference data, and infers whether the remote control impact analysis is normal based on data analysis; The signal abnormality control decision unit makes control signal abnormality decisions on the water supply network, collects decision duration information and decision frequency information, and infers whether the current water pump station supply decision is suitable based on information comparison.

2. The water pump station remote control system adapted for a water supply network according to claim 1, characterized in that: The centralized scenario information and partial scenario information are respectively the maximum span value of the deviation value of the operating floating frequency corresponding to the set pressure of the operating sub-pumps of the pump group during the centralized operation stage, and the span value ratio of the increased span of the fault frequency in the actual operation cycle of any sub-pump in the partial operation stage to the shortened span of the fault-free standby time in the non-operating cycle.

3. The water pump station remote control system adapted for a water supply network according to claim 2, characterized in that: If the concentrated scene information exceeds the maximum span deviation threshold, or the partial scene information exceeds the span value ratio threshold, a performance deviation risk signal is generated; if the concentrated scene information does not exceed the maximum span deviation threshold, and the partial scene information does not exceed the span value ratio threshold, a performance deviation safety signal is generated.

4. The water pump station remote control system adapted for a water supply network according to claim 1, characterized in that: The data verification information includes the maximum data deviation of the same type of detection data corresponding to the same detection time at adjacent remote detection points in the water supply network, the duration of time when the same type of detection data corresponding to adjacent remote detection points exceeds the maximum data deviation value, the delay duration value between the floating time of the same type of detection data in the operation log of the water supply network corresponding to adjacent remote detection points and the remote collection time, and the deviation between the cumulative floating time of the same type of detection data in the operation log of the corresponding adjacent remote detection points and the duration of the maximum data deviation value.

5. The water pump station remote control system adapted to the water supply network according to claim 4, characterized in that: If the verification coefficient of the collected data of the water supply network exceeds the data verification coefficient threshold, an abnormal verification signal is generated; if the verification coefficient of the collected data of the water supply network does not exceed the data verification coefficient threshold, a normal verification signal is generated.

6. The water pump station remote control system adapted for a water supply network according to claim 1, characterized in that: The control timeliness data and control interference data are respectively the deviation amount when the detection data at the corresponding moment when the remote control decision execution instruction is sent to the water supply network is not within the detection data range of the corresponding control decision, and the excess amount of remote control decision time and the corresponding type of detection data out-of-range floating time when the surrounding environment affects the floating during the remote data transmission stage.

7. The water pump station remote control system adapted for a water supply network according to claim 6, characterized in that: If the control timeliness data exceeds the deviation threshold, or the control interference data exceeds the excess threshold, a remote control high impact signal is generated; if the control timeliness data does not exceed the deviation threshold, and the control interference data does not exceed the excess threshold, a remote control low impact signal is generated and sent to the remote control center.

8. The water pump station remote control system adapted for a water supply network according to claim 1, characterized in that: The decision duration information and decision frequency information are respectively the numerical ratio of the water supply waiting time and the water supply demand duration at the water demand end of the water supply network under the current water pump station operation decision during the dynamic decision period, and the adjustment frequency that matches the demand with the real-time water pressure value and the demand water pressure value of the water supply network under the current water pump station operation decision during the dynamic decision period.

9. The water pump station remote control system adapted to the water supply network according to claim 8, characterized in that: If the decision duration information exceeds the duration value ratio threshold, or the decision frequency information exceeds the adjustment frequency threshold, a dynamic decision control signal is generated; if the decision duration information does not exceed the duration value ratio threshold, and the decision frequency information does not exceed the adjustment frequency threshold, a dynamic decision unchanged signal is generated.

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