Intelligent pump room real-time monitoring and data analysis method and system and medium

Abstract

The invention provides an intelligent pump room real-time monitoring and data analysis method and system and a medium. The method comprises the following steps: extracting water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to a plurality of monitoring time points, processing according to the water pump operation characteristic data to obtain a water pump performance reliability index, processing according to the motor operation characteristic data to obtain a motor state stability index, processing according to the water pump operation characteristic data and the valve operation characteristic data to obtain a water pump adjustment sensitivity index, obtaining environment characteristic data of an area where the target pump room is located, and processing to obtain an environment interference suppression degree index; processing is conducted by combining the water pump performance reliability index, the motor state stability index and the water pump adjusting sensitivity index, the equipment operation effect index of the target pump house is obtained, the target pump house is correspondingly adjusted and maintained, and therefore the technology of real-time monitoring and data analysis of the intelligent pump house is achieved.

Description

Technical Field

[0001] The present application relates to the field of pump room monitoring technology, and more specifically, to a method, system and medium for real-time monitoring and data analysis of an intelligent pump room. Background Art

[0002] As the core hub of the urban water supply system, the safe and stable operation of the pump room is crucial to ensuring social production and life. However, the existing pump room monitoring system often has problems such as single monitoring dimension and weak data analysis capabilities. It is impossible to fully and accurately grasp the operation status of the pump room, and it is difficult to timely discover and effectively deal with potential problems.

[0003] Therefore, an innovative intelligent pump room monitoring and data analysis solution is needed, which can perform multi-dimensional data analysis, analyze the detection statistics of pump room equipment, equipment operation status analysis, water supply quality, energy consumption status and other data, provide data support for equipment maintenance, optimization and management, and at the same time improve the intelligence level and operation efficiency of pump room management.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for real-time monitoring and data analysis of an intelligent pump room. The method can extract the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points, and process them respectively to obtain the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, and process them in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and make corresponding adjustments and maintenance to the target pump room, so as to realize the technology of real-time monitoring and data analysis of the intelligent pump room.

[0006] The present application also provides a method for real-time monitoring and data analysis of an intelligent pump room, comprising the following steps: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; Processing the water pump operation characteristic data to obtain a water pump performance reliability index; Processing the motor operation characteristic data to obtain a motor state stability index; Processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; Acquire environmental characteristic data of the area where the target pump room is located, and process to obtain an environmental interference suppression index; According to the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

[0007] Optionally, in the real-time monitoring and data analysis method for the intelligent pump room described in the present application, the operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

[0008] Optionally, in the intelligent pump room real-time monitoring and data analysis method described in the present application, the processing according to the water pump operation characteristic data to obtain the water pump performance reliability index includes: Extract the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain the water pump flow standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data; The water pump performance reliability index is obtained by processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data.

[0009] Optionally, in the intelligent pump room real-time monitoring and data analysis method described in the present application, the processing according to the motor operation characteristic data to obtain the motor state stability index includes: Extract the motor current data, motor voltage data, motor temperature data and motor vibration data respectively to obtain motor current extreme difference value data, motor voltage extreme difference value data, motor temperature extreme difference value data and motor vibration extreme difference value data; The motor state stability index is obtained by processing the motor current extreme difference value data, the motor voltage extreme difference value data, the motor temperature extreme difference value data and the motor vibration extreme difference value data.

[0010] Optionally, in the real-time monitoring and data analysis method for the intelligent pump room described in the present application, the processing of the water pump operation characteristic data in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index includes: Extract and process the valve opening data to obtain valve opening change rate data; Extract the water pump flow rate data and the water pump pressure data respectively to obtain the water pump flow rate change rate data and the water pump pressure change rate data; The valve opening change rate data is processed in combination with the water pump flow rate change rate data and the water pump pressure change rate data to obtain a water pump regulation sensitivity index.

[0011] Optionally, in the real-time monitoring and data analysis method for the intelligent pump room described in the present application, the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index are processed in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and the target pump room is adjusted and maintained accordingly, including: According to the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained; Comparing the equipment operation effectiveness index with a preset equipment operation effectiveness threshold to obtain a comparison result; Obtaining the equipment operation effectiveness level of the target pump room according to the comparison result; Obtain corresponding plans for adjustment and maintenance based on the equipment's operating performance level.

[0012] In a second aspect, the present application provides a smart pump room real-time monitoring and data analysis system, the system comprising: a memory and a processor, the memory comprising a program of a smart pump room real-time monitoring and data analysis method, the program of the smart pump room real-time monitoring and data analysis method being executed by the processor to implement the following steps: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; Processing the water pump operation characteristic data to obtain a water pump performance reliability index; Processing the motor operation characteristic data to obtain a motor state stability index; Processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; Acquire environmental characteristic data of the area where the target pump room is located, and process to obtain an environmental interference suppression index; According to the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

[0013] Optionally, in the intelligent pump room real-time monitoring and data analysis system described in the present application, the operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

[0014] Optionally, in the intelligent pump room real-time monitoring and data analysis system described in the present application, the processing according to the water pump operation characteristic data to obtain the water pump performance reliability index includes: Extract the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain the water pump flow standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data; The water pump performance reliability index is obtained by processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data.

[0015] In a third aspect, the present application also provides a computer-readable storage medium, which stores a program for a smart pump room real-time monitoring and data analysis method. When the program for the smart pump room real-time monitoring and data analysis method is executed by a processor, the steps of the smart pump room real-time monitoring and data analysis method as described in any one of the above items are implemented.

[0016] As can be seen from the above, the intelligent pump room real-time monitoring and data analysis method, system and medium disclosed in the present invention collects the operation monitoring information of the target pump room within a preset time period, and extracts the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points, processes the water pump operation characteristic data to obtain the water pump performance reliability index, processes the motor operation characteristic data to obtain the motor state stability index, processes the water pump operation characteristic data in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index, obtains the environmental characteristic data of the area where the target pump room is located, processes to obtain the environmental interference suppression index, processes the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and makes corresponding adjustments and maintenance to the target pump room, thereby realizing the technology of real-time monitoring and data analysis of the intelligent pump room.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flow chart of a method for real-time monitoring and data analysis of an intelligent pump room provided in an embodiment of the present application; Figure 2 A flow chart of obtaining a water pump performance reliability index for a method for real-time monitoring and data analysis of an intelligent pump room provided in an embodiment of the present application; Figure 3 A flow chart of obtaining a motor state stability index in a method for real-time monitoring and data analysis of an intelligent pump room provided in an embodiment of the present application; Figure 4 A flow chart of obtaining the water pump regulation sensitivity index of the intelligent pump room real-time monitoring and data analysis method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 Flow chart of the real-time monitoring and data analysis method of the intelligent pump room in some embodiments of the present application. The real-time monitoring and data analysis method of the intelligent pump room is used in terminal devices, such as computers, mobile terminals, etc. The real-time monitoring and data analysis method of the intelligent pump room includes the following steps: S11, collecting the operation monitoring information of the target pump room within a preset time period, and extracting the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; S12, processing the water pump operation characteristic data to obtain a water pump performance reliability index; S13, processing the motor operation characteristic data to obtain a motor state stability index; S14, processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; S15, obtaining environmental characteristic data of the area where the target pump room is located, and processing to obtain an environmental interference suppression index; S16. According to the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

[0023] It should be noted that the safe and stable operation of the pump room, as the core hub of the urban water supply system, is crucial to ensuring social production and life. However, the existing pump room monitoring system often has problems such as a single monitoring dimension and weak data analysis capabilities. It is impossible to fully and accurately grasp the operating status of the pump room, and it is difficult to realize the timely discovery and effective handling of potential problems. Therefore, an innovative intelligent pump room monitoring and data analysis solution is needed, which can perform multi-dimensional data analysis, analyze the detection statistics of water pump room equipment, equipment operation status analysis, water supply quality, energy consumption status and other data, provide data support for equipment maintenance, optimization and management, and at the same time improve the intelligence level and operation efficiency of pump room management. The present application technology provides a real-time monitoring and data analysis method for an intelligent pump room. In this embodiment, firstly, by collecting data of the target pump room within a preset time period, The operation monitoring information of the target pump room is obtained, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted; the water pump operation characteristic data are processed to obtain the water pump performance reliability index; the motor operation characteristic data are processed to obtain the motor state stability index; the water pump operation characteristic data are processed in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index; the environmental characteristic data of the area where the target pump room is located are obtained by processing to obtain the environmental interference suppression index; the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index are processed in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room; the target pump room is adjusted and maintained accordingly, thereby realizing the technology of real-time monitoring and data analysis of the intelligent pump room.

[0024] According to an embodiment of the present invention, the operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

[0025] It should be noted that in order to monitor and analyze the target pump room, it is necessary to monitor the target pump room and collect monitoring information, including water pump operation information, motor operation information and valve operation information, and extract the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points based on the above information, among which the water pump operation characteristic data include water pump flow, water pump head, water pump pressure, water pump efficiency and water pump speed data, the motor operation characteristic data include motor current, motor voltage, motor temperature, motor vibration, motor power factor and motor efficiency data, and the valve operation characteristic data include valve opening data.

[0026] Please refer to Figure 2 , Figure 2 The flowchart of the method for real-time monitoring and data analysis of the intelligent pump room in some embodiments of the present application is to obtain the water pump performance reliability index. According to the embodiment of the present invention, the water pump performance reliability index is obtained by processing the water pump operation characteristic data, including: S21, extracting the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain water pump flow standard deviation data, water pump pressure standard deviation data and water pump speed standard deviation data; S22, processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data, and the water pump speed standard deviation data to obtain a water pump performance reliability index.

[0027] It should be noted that in order to evaluate the reliability of water pump performance, the obtained water pump flow data, water pump pressure data and water pump speed data are further extracted and processed to obtain water pump flow standard deviation data, water pump pressure standard deviation data and water pump speed standard deviation data, and then the above data are processed to obtain the water pump performance reliability index; The calculation formula of the water pump performance reliability index is: ; in, is the pump performance reliability index, , , They are the standard deviation data of water pump flow, water pump pressure and water pump speed respectively. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0028] Please refer to Figure 3 , Figure 3The flowchart of obtaining the motor state stability index of the intelligent pump room real-time monitoring and data analysis method in some embodiments of the present application. According to the embodiment of the present invention, the motor state stability index is obtained by processing the motor operation characteristic data, including: S31, extracting the motor current data, motor voltage data, motor temperature data and motor vibration data respectively to obtain motor current extreme difference value data, motor voltage extreme difference value data, motor temperature extreme difference value data and motor vibration extreme difference value data; S32, processing the motor current extreme value data, the motor voltage extreme value data, the motor temperature extreme value data, and the motor vibration extreme value data to obtain a motor state stability index.

[0029] It should be noted that in order to understand the stability of the motor state, the motor current data, motor voltage data, motor temperature data and motor vibration data are further extracted to obtain the motor current extreme difference value, motor voltage extreme difference value, motor temperature extreme difference value and motor vibration extreme difference value data, and then the above data are processed to obtain the motor state stability index; Wherein, the calculation formula of the motor state stability index is: ; in, is the motor state stability index, , , , They are the motor current extreme value data, motor voltage extreme value data, motor temperature extreme value data, and motor vibration extreme value data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0030] Please refer to Figure 4 , Figure 4 The flowchart of obtaining the water pump regulation sensitivity index of the intelligent pump room real-time monitoring and data analysis method in some embodiments of the present application. According to the embodiment of the present invention, the water pump regulation sensitivity index is obtained by processing the water pump operation characteristic data in combination with the valve operation characteristic data, including: S41, extracting and processing the valve opening data to obtain valve opening change rate data; S42, extracting the water pump flow rate data and the water pump pressure data respectively to obtain water pump flow rate change rate data and water pump pressure change rate data; S43, processing the valve opening change rate data in combination with the water pump flow change rate data and the water pump pressure change rate data to obtain a water pump regulation sensitivity index.

[0031] It should be noted that the adjustment sensitivity of the valve is crucial to the normal operation of the pump room. Therefore, it is necessary to understand the change of the valve opening as the pump flow and pressure change, extract and process the valve opening data, obtain the valve opening change rate data, and then combine the pump flow change rate data and the pump pressure change rate data for processing to obtain the pump adjustment sensitivity index. The calculation formula of the water pump adjustment sensitivity index is: ; in, Adjust the sensitivity index for the pump, , , They are valve opening change rate data, water pump flow change rate data, and water pump pressure change rate data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0032] According to an embodiment of the present invention, the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index are processed in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and the target pump room is adjusted and maintained accordingly, including: According to the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained; Comparing the equipment operation effectiveness index with a preset equipment operation effectiveness threshold to obtain a comparison result; Obtaining the equipment operation effectiveness level of the target pump room according to the comparison result; Obtain corresponding plans for adjustment and maintenance based on the equipment's operating performance level.

[0033] It should be noted that in order to better and timely grasp the operating status of the pump room equipment and provide accurate maintenance work, the equipment operation effectiveness index of the target pump room is obtained by processing the obtained water pump performance reliability index, motor state stability index and water pump adjustment sensitivity index in combination with the environmental interference suppression index, and then the index is compared with the preset value, and the equipment operation effectiveness level of the target pump room is obtained according to the specific comparison situation, and the adjustment plan and maintenance plan corresponding to the level are matched; The calculation formula of the equipment operation effectiveness index is: ; in, is the equipment operation effectiveness index, , , , They are the water pump performance reliability index, motor state stability index, water pump regulation sensitivity index, and environmental interference suppression index. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0034] According to an embodiment of the present invention, it also includes: The step of obtaining the environmental characteristic data of the area where the target pump room is located and processing the data to obtain the environmental interference suppression index specifically includes: Obtaining environmental characteristic data of the area where the target pump room is located, including temperature data, humidity data, and dust concentration data; Processing the temperature data, humidity data and dust concentration data to obtain an environmental interference suppression index; The calculation formula of the environmental interference suppression index is: ; in, is the environmental interference suppression index, , , They are temperature data, humidity data, and dust concentration data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0035] It should be noted that the working environment of the pump room will have an impact on its operating status, and these factors need to be taken into account to obtain a more accurate evaluation result. Therefore, the environmental characteristic data of the area where the target pump room is located is first obtained, including temperature, humidity and dust concentration data, and then processed according to the above data to obtain the environmental interference suppression index.

[0036] According to an embodiment of the present invention, it also includes: Obtaining water quality characteristic data corresponding to the multiple monitoring time points, including pH data, hardness data, dissolved solids data, and heavy metal content data; Extracting and processing the pH data, hardness data, and dissolved solid data to obtain pH mean data, hardness mean data, dissolved solid mean data, and heavy metal content mean data; According to the mean pH data, mean hardness data, mean dissolved solids data and mean heavy metal content data, combined with the water pump flow rate standard deviation data and the water pump pressure standard deviation data, processing is performed to obtain a water supply quality control index; The calculation formula of the water supply quality control index is: ; in, is the water supply quality control index, , , , They are the mean data of pH, mean data of hardness, mean data of dissolved solids, and mean data of heavy metal content. , They are the standard deviation data of water pump flow rate and water pump pressure, respectively. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0037] It should be noted that the pump room is the core hub of the urban water supply system, and its water supply quality is very important. Therefore, it is necessary to evaluate the water supply quality and simultaneously obtain water quality characteristic data corresponding to multiple monitoring time points, including pH, hardness, dissolved solids and heavy metal content data. The dissolved solids data refers to the total amount of various inorganic and organic matter dissolved in the water. The water supply quality control index is then obtained based on the mean pH data, hardness data, dissolved solids data and heavy metal content data, combined with the standard deviation data of the water pump flow and the standard deviation data of the water pump pressure.

[0038] According to an embodiment of the present invention, it also includes: Extract and process the water pump head data and the water pump efficiency data to obtain water pump head standard deviation data and water pump efficiency standard deviation data; Extracting and processing the motor power factor data and the motor efficiency data to obtain the motor power factor mean data and the motor efficiency mean data; According to the water pump head standard deviation data, the water pump efficiency standard deviation data, the motor power factor mean data and the motor efficiency mean data, combined with the water pump flow rate standard deviation data and the water pump speed standard deviation data, the equipment energy consumption index is obtained; The calculation formula of the equipment energy consumption index is: ; in, is the equipment energy consumption index, , , , They are the standard deviation data of water pump head, standard deviation data of water pump efficiency, mean data of motor power factor, and mean data of motor efficiency. , They are the standard deviation data of water pump flow rate and water pump speed, respectively. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0039] It should be noted that if the pump room consumes a lot of energy during operation, it will cause damage to the equipment and increase the operating costs. Therefore, energy consumption assessment is a very important link. To this end, the extracted water pump head standard deviation data, water pump efficiency standard deviation data, motor power factor mean data and motor efficiency mean data are combined with the water pump flow standard deviation data and the water pump speed standard deviation data for processing to obtain the equipment energy consumption index.

[0040] According to an embodiment of the present invention, it also includes: According to the equipment operation effectiveness index, water supply quality control index and equipment energy consumption index, a comprehensive evaluation index of the pump room system is obtained; Comparing the comprehensive evaluation index of the pump room system with a preset comprehensive evaluation threshold to obtain a comparison result; According to the comparison results, the pump room system is upgraded and optimized accordingly; The calculation formula of the comprehensive evaluation index of the pump room system is: ; in, is the comprehensive evaluation index of the pump room system. , , They are equipment operation effectiveness index, water supply quality control index, and equipment energy consumption index. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0041] It should be noted that a comprehensive evaluation of the pump room system is required, which includes effectiveness, water supply quality evaluation and energy consumption evaluation. That is, the comprehensive evaluation index of the pump room system is obtained according to the equipment operation effectiveness index, water supply quality control index and equipment energy consumption index, and the pump room system is upgraded and optimized accordingly based on the index.

[0042] In a second aspect, the present invention further discloses a smart pump room real-time monitoring and data analysis system, comprising a memory and a processor, wherein the memory comprises a smart pump room real-time monitoring and data analysis method program, and when the smart pump room real-time monitoring and data analysis method program is executed by the processor, the following steps are implemented: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; Processing the water pump operation characteristic data to obtain a water pump performance reliability index; Processing the motor operation characteristic data to obtain a motor state stability index; Processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; Acquire environmental characteristic data of the area where the target pump room is located, and process to obtain an environmental interference suppression index; According to the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

[0043] It should be noted that the safe and stable operation of the pump room, as the core hub of the urban water supply system, is crucial to ensuring social production and life. However, the existing pump room monitoring system often has problems such as a single monitoring dimension and weak data analysis capabilities. It is impossible to fully and accurately grasp the operating status of the pump room, and it is difficult to realize the timely discovery and effective handling of potential problems. Therefore, an innovative intelligent pump room monitoring and data analysis solution is needed, which can perform multi-dimensional data analysis, analyze the detection statistics of water pump room equipment, equipment operation status analysis, water supply quality, energy consumption status and other data, provide data support for equipment maintenance, optimization and management, and at the same time improve the intelligence level and operation efficiency of pump room management. The present application technology provides a real-time monitoring and data analysis method for an intelligent pump room. In this embodiment, firstly, by collecting data of the target pump room within a preset time period, The operation monitoring information of the target pump room is obtained, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted; the water pump operation characteristic data are processed to obtain the water pump performance reliability index; the motor operation characteristic data are processed to obtain the motor state stability index; the water pump operation characteristic data are processed in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index; the environmental characteristic data of the area where the target pump room is located are obtained by processing to obtain the environmental interference suppression index; the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index are processed in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room; the target pump room is adjusted and maintained accordingly, thereby realizing the technology of real-time monitoring and data analysis of the intelligent pump room.

[0044] According to an embodiment of the present invention, the operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

[0045] It should be noted that in order to monitor and analyze the target pump room, it is necessary to monitor the target pump room and collect monitoring information, including water pump operation information, motor operation information and valve operation information, and extract the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points based on the above information, among which the water pump operation characteristic data include water pump flow, water pump head, water pump pressure, water pump efficiency and water pump speed data, the motor operation characteristic data include motor current, motor voltage, motor temperature, motor vibration, motor power factor and motor efficiency data, and the valve operation characteristic data include valve opening data.

[0046] According to an embodiment of the present invention, the processing according to the water pump operation characteristic data to obtain the water pump performance reliability index includes: Extract the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain the water pump flow standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data; The water pump performance reliability index is obtained by processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data.

[0047] It should be noted that in order to evaluate the reliability of water pump performance, the obtained water pump flow data, water pump pressure data and water pump speed data are further extracted and processed to obtain water pump flow standard deviation data, water pump pressure standard deviation data and water pump speed standard deviation data, and then the above data are processed to obtain the water pump performance reliability index; The calculation formula of the water pump performance reliability index is: ; in, is the pump performance reliability index, , , They are the standard deviation data of water pump flow, water pump pressure and water pump speed respectively. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0048] According to an embodiment of the present invention, the step of processing the motor operation characteristic data to obtain the motor state stability index includes: Extract the motor current data, motor voltage data, motor temperature data and motor vibration data respectively to obtain motor current extreme difference value data, motor voltage extreme difference value data, motor temperature extreme difference value data and motor vibration extreme difference value data; The motor state stability index is obtained by processing the motor current extreme difference value data, the motor voltage extreme difference value data, the motor temperature extreme difference value data and the motor vibration extreme difference value data.

[0049] It should be noted that in order to understand the stability of the motor state, the motor current data, motor voltage data, motor temperature data and motor vibration data are further extracted to obtain the motor current extreme difference value, motor voltage extreme difference value, motor temperature extreme difference value and motor vibration extreme difference value data, and then the above data are processed to obtain the motor state stability index; Wherein, the calculation formula of the motor state stability index is: ; in, is the motor state stability index, , , , They are the motor current extreme value data, motor voltage extreme value data, motor temperature extreme value data, and motor vibration extreme value data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0050] According to an embodiment of the present invention, the step of processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index includes: Extract and process the valve opening data to obtain valve opening change rate data; Extract the water pump flow rate data and the water pump pressure data respectively to obtain the water pump flow rate change rate data and the water pump pressure change rate data; The valve opening change rate data is processed in combination with the water pump flow rate change rate data and the water pump pressure change rate data to obtain a water pump regulation sensitivity index.

[0051] It should be noted that the adjustment sensitivity of the valve is crucial to the normal operation of the pump room. Therefore, it is necessary to understand the change of the valve opening as the pump flow and pressure change, extract and process the valve opening data, obtain the valve opening change rate data, and then combine the pump flow change rate data and the pump pressure change rate data for processing to obtain the pump adjustment sensitivity index. The calculation formula of the water pump adjustment sensitivity index is: ; in, Adjust the sensitivity index for the pump, , , They are valve opening change rate data, water pump flow change rate data, and water pump pressure change rate data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0052] According to an embodiment of the present invention, the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index are processed in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and the target pump room is adjusted and maintained accordingly, including: According to the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained; Comparing the equipment operation effectiveness index with a preset equipment operation effectiveness threshold to obtain a comparison result; Obtaining the equipment operation effectiveness level of the target pump room according to the comparison result; Obtain corresponding plans for adjustment and maintenance based on the equipment's operating performance level.

[0053] It should be noted that in order to better and timely grasp the operating status of the pump room equipment and provide accurate maintenance work, the equipment operation effectiveness index of the target pump room is obtained by processing the obtained water pump performance reliability index, motor state stability index and water pump adjustment sensitivity index in combination with the environmental interference suppression index, and then the index is compared with the preset value, and the equipment operation effectiveness level of the target pump room is obtained according to the specific comparison situation, and the adjustment plan and maintenance plan corresponding to the level are matched; The calculation formula of the equipment operation effectiveness index is: ; in, is the equipment operation effectiveness index, , , , They are the water pump performance reliability index, motor state stability index, water pump regulation sensitivity index, and environmental interference suppression index. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0054] According to an embodiment of the present invention, it also includes: The step of obtaining the environmental characteristic data of the area where the target pump room is located and processing the data to obtain the environmental interference suppression index specifically includes: Obtaining environmental characteristic data of the area where the target pump room is located, including temperature data, humidity data, and dust concentration data; Processing the temperature data, humidity data and dust concentration data to obtain an environmental interference suppression index; The calculation formula of the environmental interference suppression index is: ; in, is the environmental interference suppression index, , , They are temperature data, humidity data, and dust concentration data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0055] It should be noted that the working environment of the pump room will have an impact on its operating status, and these factors need to be taken into account to obtain a more accurate evaluation result. Therefore, the environmental characteristic data of the area where the target pump room is located is first obtained, including temperature, humidity and dust concentration data, and then processed according to the above data to obtain the environmental interference suppression index.

[0056] According to an embodiment of the present invention, it also includes: Obtaining water quality characteristic data corresponding to the multiple monitoring time points, including pH data, hardness data, dissolved solids data, and heavy metal content data; Extracting and processing the pH data, hardness data, and dissolved solid data to obtain pH mean data, hardness mean data, dissolved solid mean data, and heavy metal content mean data; According to the mean pH data, mean hardness data, mean dissolved solids data and mean heavy metal content data, combined with the water pump flow rate standard deviation data and the water pump pressure standard deviation data, processing is performed to obtain a water supply quality control index; The calculation formula of the water supply quality control index is: ; in, is the water supply quality control index, , , , They are the mean data of pH, mean data of hardness, mean data of dissolved solids, and mean data of heavy metal content. , They are the standard deviation data of water pump flow rate and water pump pressure, respectively. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0057] It should be noted that the pump room is the core hub of the urban water supply system, and its water supply quality is very important. Therefore, it is necessary to evaluate the water supply quality and simultaneously obtain water quality characteristic data corresponding to multiple monitoring time points, including pH, hardness, dissolved solids and heavy metal content data. The dissolved solids data refers to the total amount of various inorganic and organic matter dissolved in the water. The water supply quality control index is then obtained based on the mean pH data, hardness data, dissolved solids data and heavy metal content data, combined with the standard deviation data of the water pump flow and the standard deviation data of the water pump pressure.

[0058] According to an embodiment of the present invention, it also includes: Extract and process the water pump head data and the water pump efficiency data to obtain water pump head standard deviation data and water pump efficiency standard deviation data; Extracting and processing the motor power factor data and the motor efficiency data to obtain the motor power factor mean data and the motor efficiency mean data; According to the water pump head standard deviation data, the water pump efficiency standard deviation data, the motor power factor mean data and the motor efficiency mean data, combined with the water pump flow rate standard deviation data and the water pump speed standard deviation data, the equipment energy consumption index is obtained; The calculation formula of the equipment energy consumption index is: ; in, is the equipment energy consumption index, , , , They are the standard deviation data of water pump head, standard deviation data of water pump efficiency, mean data of motor power factor, and mean data of motor efficiency. , They are the standard deviation data of water pump flow rate and water pump speed, respectively. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0059] It should be noted that if the pump room consumes a lot of energy during operation, it will cause damage to the equipment and increase the operating costs. Therefore, energy consumption assessment is a very important link. To this end, the extracted water pump head standard deviation data, water pump efficiency standard deviation data, motor power factor mean data and motor efficiency mean data are combined with the water pump flow standard deviation data and the water pump speed standard deviation data for processing to obtain the equipment energy consumption index.

[0060] According to an embodiment of the present invention, it also includes: According to the equipment operation effectiveness index, water supply quality control index and equipment energy consumption index, a comprehensive evaluation index of the pump room system is obtained; Comparing the comprehensive evaluation index of the pump room system with a preset comprehensive evaluation threshold to obtain a comparison result; According to the comparison results, the pump room system is upgraded and optimized accordingly; The calculation formula of the comprehensive evaluation index of the pump room system is: ; in, is the comprehensive evaluation index of the pump room system. , , They are equipment operation effectiveness index, water supply quality control index, and equipment energy consumption index. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset pump room monitoring platform).

[0061] It should be noted that a comprehensive evaluation of the pump room system is required, which includes effectiveness, water supply quality evaluation and energy consumption evaluation. That is, the comprehensive evaluation index of the pump room system is obtained according to the equipment operation effectiveness index, water supply quality control index and equipment energy consumption index, and the pump room system is upgraded and optimized accordingly based on the index.

[0062] A third aspect of the present invention provides a readable storage medium, which stores a program for the real-time monitoring and data analysis method for an intelligent pump room. When the program for the real-time monitoring and data analysis method for an intelligent pump room is executed by a processor, the steps of the real-time monitoring and data analysis method for an intelligent pump room as described in any one of the above items are implemented.

[0063] The intelligent pump room real-time monitoring and data analysis method, system and medium disclosed in the present invention collects operation monitoring information of the target pump room within a preset time period, and extracts water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points, processes the water pump operation characteristic data to obtain a water pump performance reliability index, processes the motor operation characteristic data to obtain a motor state stability index, processes the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index, obtains environmental characteristic data of the area where the target pump room is located, processes to obtain an environmental interference suppression index, processes the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and performs corresponding adjustments and maintenance on the target pump room, thereby realizing the technology of real-time monitoring and data analysis of the intelligent pump room.

[0064] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0065] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0066] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0067] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0068] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for real-time monitoring and data analysis of an intelligent pump room, characterized in that: The following steps are involved: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; Processing the water pump operation characteristic data to obtain a water pump performance reliability index; Processing the motor operation characteristic data to obtain a motor state stability index; Processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; Acquire environmental characteristic data of the area where the target pump room is located, and process to obtain an environmental interference suppression index; According to the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

2. The intelligent pump room real-time monitoring and data analysis method according to claim 1 is characterized in that: The operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

3. The intelligent pump room real-time monitoring and data analysis method according to claim 2 is characterized in that: The step of processing the water pump operation characteristic data to obtain a water pump performance reliability index includes: Extract the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain the water pump flow standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data; The water pump performance reliability index is obtained by processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data.

4. The intelligent pump room real-time monitoring and data analysis method according to claim 3 is characterized in that: The step of processing the motor operation characteristic data to obtain a motor state stability index includes: Extract the motor current data, motor voltage data, motor temperature data and motor vibration data respectively to obtain motor current extreme difference value data, motor voltage extreme difference value data, motor temperature extreme difference value data and motor vibration extreme difference value data; The motor state stability index is obtained by processing the motor current extreme difference value data, the motor voltage extreme difference value data, the motor temperature extreme difference value data and the motor vibration extreme difference value data.

5. The intelligent pump room real-time monitoring and data analysis method according to claim 4 is characterized in that: The step of processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain the water pump regulation sensitivity index comprises: Extract and process the valve opening data to obtain valve opening change rate data; Extract the water pump flow rate data and the water pump pressure data respectively to obtain the water pump flow rate change rate data and the water pump pressure change rate data; The valve opening change rate data is processed in combination with the water pump flow rate change rate data and the water pump pressure change rate data to obtain a water pump regulation sensitivity index.

6. The intelligent pump room real-time monitoring and data analysis method according to claim 5 is characterized in that: The process of processing the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index in combination with the environmental interference suppression index to obtain the equipment operation effectiveness index of the target pump room, and making corresponding adjustments and maintenance to the target pump room includes: According to the water pump performance reliability index, the motor state stability index and the water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained; Comparing the equipment operation effectiveness index with a preset equipment operation effectiveness threshold to obtain a comparison result; Obtaining the equipment operation effectiveness level of the target pump room according to the comparison result; Obtain corresponding plans for adjustment and maintenance based on the equipment's operating performance level.

7. A smart pump room real-time monitoring and data analysis system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a real-time monitoring and data analysis method for an intelligent pump room, and when the program of the real-time monitoring and data analysis method for an intelligent pump room is executed by the processor, the following steps are implemented: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; Processing the water pump operation characteristic data to obtain a water pump performance reliability index; Processing the motor operation characteristic data to obtain a motor state stability index; Processing the water pump operation characteristic data in combination with the valve operation characteristic data to obtain a water pump regulation sensitivity index; Acquire environmental characteristic data of the area where the target pump room is located, and process to obtain an environmental interference suppression index; According to the water pump performance reliability index, motor state stability index and water pump regulation sensitivity index, combined with the environmental interference suppression index, the equipment operation effectiveness index of the target pump room is obtained, and the target pump room is adjusted and maintained accordingly.

8. The intelligent pump room real-time monitoring and data analysis system according to claim 7 is characterized in that: The operation monitoring information of the target pump room within a preset time period is collected, and the water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points are extracted, including: Collect the operation monitoring information of the target pump room within a preset time period, and extract the pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to multiple monitoring time points; The water pump operation characteristic data includes water pump flow data, water pump head data, water pump pressure data, water pump efficiency data and water pump speed data; The motor operation characteristic data includes motor current data, motor voltage data, motor temperature data, motor vibration data, motor power factor data and motor efficiency data; The valve operation characteristic data includes valve opening data.

9. The intelligent pump room real-time monitoring and data analysis system according to claim 8 is characterized in that: The step of processing the water pump operation characteristic data to obtain a water pump performance reliability index includes: Extract the water pump flow data, the water pump pressure data and the water pump speed data respectively to obtain the water pump flow standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data; The water pump performance reliability index is obtained by processing the water pump flow rate standard deviation data, the water pump pressure standard deviation data and the water pump speed standard deviation data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a smart pump room real-time monitoring and data analysis method program. When the smart pump room real-time monitoring and data analysis method program is executed by a processor, the steps of the smart pump room real-time monitoring and data analysis method as described in any one of claims 1 to 6 are implemented.

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