Pump room equipment operation optimization method and system based on multi-dimensional data analysis

Abstract

The invention provides a pump room equipment operation optimization method and system based on multi-dimensional data analysis. The method comprises the following steps: respectively testing pump room equipment under a normal working condition and a high load, processing to obtain an operation state evaluation index and a high-load operation state evaluation index, and processing according to electrical parameter data of the pump room equipment under the normal working condition and the high load to obtain an electrical performance influence degree factor, processing by combining the operation state evaluation index and the high-load operation state evaluation index to obtain a load stability evaluation index, carrying out fault testing on pump room equipment, processing according to fault operation monitoring data to obtain a fault operation performance influence degree factor, processing according to the fault operation performance influence degree factor to obtain a fault response performance evaluation index, and carrying out fault response performance evaluation on the pump room equipment. Obtaining an operation reliability evaluation index and determining a corresponding optimization scheme in combination with load stability evaluation index processing; therefore, the purpose of optimizing the operation of the pump room equipment is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of big data and equipment operation optimization, and specifically, to a method and system for optimizing the operation of pump room equipment based on multi-dimensional data analysis. Background Art

[0002] As a key link in many infrastructure and industrial systems, pump rooms play an indispensable role in urban water supply, sewage treatment, industrial liquid transportation, fire protection and other fields. However, the operation and management of traditional pump room equipment often face many challenges. Most pump room equipment relies on simple local instrument monitoring and manual regular inspections for maintenance and management during operation. It is unable to provide comprehensive and in-depth equipment operation information, and it is difficult to fully and accurately grasp the actual operation status of pump room equipment under various working conditions, which is not conducive to equipment operation optimization. Therefore, there is an urgent need for a technology that can comprehensively and accurately test the operation status of equipment under different working conditions, conduct multi-dimensional analysis of the equipment's operating indicators, and deeply analyze the relationship between each indicator and equipment performance, so as to achieve optimized operation and reliability improvement of pump room equipment. Summary of the invention

[0003] The purpose of this application is to provide a method and system for optimizing the operation of pump room equipment based on multi-dimensional data analysis. By testing the operating status of the equipment under different working conditions and conducting multi-dimensional analysis of the operating indicators of the equipment, the relationship between each indicator and the equipment performance is deeply analyzed, thereby obtaining the equipment operation reliability evaluation results to achieve the technology of optimizing the operation and improving the reliability of the pump room equipment.

[0004] The present application also provides a method for optimizing the operation of pump room equipment based on multi-dimensional data analysis, comprising the following steps: Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data processing; Test the pump room equipment under high load to obtain high load operation monitoring data, and obtain a high load operation status evaluation index based on the high load operation monitoring data; The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and obtain fault operation performance impact factors based on the fault operation monitoring data; The fault response performance evaluation index is obtained according to the fault operation performance influence factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and the corresponding optimization scheme is determined.

[0005] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the pump room equipment is tested under normal working conditions to obtain operation monitoring data, and the operation status evaluation index is obtained according to the operation monitoring data processing, including: Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; The operation status evaluation index is obtained by processing the flow data, lift data, power consumption data and equipment temperature data.

[0006] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the pump room equipment is tested under high load to obtain high load operation monitoring data, and a high load operation status evaluation index is obtained according to the high load operation monitoring data processing, including: Test the pump room equipment under high load to obtain high load operation monitoring data, including high load flow data, high load head data, high load power consumption data and high load equipment temperature data; A high-load operation status evaluation index is obtained according to the high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data.

[0007] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the electrical parameter data of the pump room equipment under normal working conditions and under high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operating status evaluation index and the high-load operating status evaluation index, including: Obtain the electrical parameter data of the pump room equipment under normal working conditions and high load respectively, and process to obtain the current change value, voltage change value and insulation resistance change value; Obtaining an electrical performance influence factor according to the current change value, voltage change value and insulation resistance change value; The load stability evaluation index is obtained according to the electrical performance influence factor, the operating state evaluation index and the high-load operating state evaluation index.

[0008] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the pump room equipment is subjected to fault testing to obtain fault operation monitoring data, and the fault operation performance impact factor is obtained according to the fault operation monitoring data processing, including: Conduct fault tests on pump room equipment to obtain fault operation monitoring data, including flow rate change, head change, power consumption change, and equipment temperature change; The fault operation performance impact factor is obtained by processing the flow change value, the head change value, the power consumption change value and the equipment temperature change value.

[0009] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the fault response performance evaluation index is obtained according to the fault operation performance influence factor processing, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index processing and the corresponding optimization scheme is determined, including: Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index according to the fault warning response time data, the fault self-repair time data and the fault operation performance influence factor; Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index; Comparing the operation reliability evaluation index with a preset operation reliability evaluation index threshold, and taking the range level to which the threshold comparison result belongs as the operation evaluation level; The operation evaluation level is input into the preset pump room equipment operation monitoring platform database for matching and identification to obtain a corresponding optimization plan.

[0010] Optionally, the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application further includes: Draw a performance curve according to the operating status evaluation index within a preset time period; Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points; Comparing the performance change rate with a preset performance change rate threshold, and taking the number of feature points whose threshold comparison results do not meet the preset threshold comparison result requirements as a statistical number; Compare the statistical quantity with a preset statistical quantity threshold, and if the statistical quantity is greater than or equal to the preset statistical quantity threshold, issue a performance abnormality reminder; If the statistical quantity is less than a preset statistical quantity threshold, it is determined to be in a normal working state.

[0011] In a second aspect, the present application provides a pump room equipment operation optimization system based on multi-dimensional data analysis, the system comprising: a memory and a processor, the memory storing a program of a pump room equipment operation optimization method based on multi-dimensional data analysis, the program of the pump room equipment operation optimization method based on multi-dimensional data analysis is executed by the processor to implement the following steps: Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data processing; Test the pump room equipment under high load to obtain high load operation monitoring data, and obtain a high load operation status evaluation index based on the high load operation monitoring data; The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and obtain fault operation performance impact factors based on the fault operation monitoring data; The fault response performance evaluation index is obtained according to the fault operation performance influence factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and the corresponding optimization scheme is determined.

[0012] Optionally, in the pump room equipment operation optimization system based on multi-dimensional data analysis described in the present application, the pump room equipment is tested under normal working conditions to obtain operation monitoring data, and the operation status evaluation index is obtained according to the operation monitoring data processing, including: Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; The operation status evaluation index is obtained by processing the flow data, lift data, power consumption data and equipment temperature data.

[0013] From the above, it can be seen that the pump room equipment operation optimization method and system based on multi-dimensional data analysis provided by the present application, by testing the operating status of the equipment under different working conditions and conducting multi-dimensional analysis of the equipment's operating indicators, deeply analyzes the relationship between each indicator and the equipment performance, thereby obtaining equipment operation reliability evaluation results to achieve optimized operation and reliability improvement technology for pump room equipment.

[0014] 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

[0015] 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.

[0016] Figure 1A flow chart of a method for optimizing pump room equipment operation based on multi-dimensional data analysis provided in an embodiment of the present application; Figure 2 A flow chart of obtaining an operation status evaluation index for a method for optimizing pump room equipment operation based on multi-dimensional data analysis provided in an embodiment of the present application; Figure 3 A flow chart of obtaining a high-load operation status evaluation index for a pump room equipment operation optimization method based on multi-dimensional data analysis provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a load stability evaluation index for a method for optimizing pump room equipment operation based on multi-dimensional data analysis provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] 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.

[0018] 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.

[0019] Please refer to Figure 1 , Figure 1 Flow chart of a pump room equipment operation optimization method based on multi-dimensional data analysis in some embodiments of the present application. The pump room equipment operation optimization method based on multi-dimensional data analysis is used in terminal devices, such as computers, mobile phone terminals, etc. The pump room equipment operation optimization method based on multi-dimensional data analysis includes the following steps: S11. Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain an operation status evaluation index based on the operation monitoring data; S12, testing the pump room equipment under high load to obtain high load operation monitoring data, and obtaining a high load operation status evaluation index according to the high load operation monitoring data; S13, respectively obtaining electrical parameter data of the pump room equipment under normal working conditions and under high load, and processing to obtain the electrical performance influence factor, and combining the operating state evaluation index and the high load operating state evaluation index to obtain the load stability evaluation index; S14, performing fault testing on the pump room equipment to obtain fault operation monitoring data, and obtaining the fault operation performance impact factor according to the fault operation monitoring data processing; S15, obtaining a fault response performance evaluation index according to the fault operation performance influence factor, and obtaining an operation reliability evaluation index in combination with the load stability evaluation index and determining a corresponding optimization scheme.

[0020] It should be noted that this application tests the operating status of the equipment under different working conditions and conducts a multi-dimensional analysis of the equipment's operating indicators, deeply analyzing the relationship between each indicator and the equipment performance, thereby obtaining equipment operation reliability evaluation results to achieve optimized operation and reliability improvement technology for pump room equipment.

[0021] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining an operation status evaluation index of a pump room equipment operation optimization method based on multi-dimensional data analysis in some embodiments of the present application. According to an embodiment of the present invention, the pump room equipment is tested under normal working conditions to obtain operation monitoring data, and the operation status evaluation index is obtained according to the operation monitoring data processing, including: S21. Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; S22, obtaining an operation status evaluation index according to the flow data, lift data, power consumption data and equipment temperature data.

[0022] It should be noted that the head refers to the height to which the pump can lift the liquid. The operating status is evaluated based on the flow rate, head, power consumption and equipment temperature. The calculation formula of the operating status evaluation index is: ; in, is the operating status evaluation index, , , and They are flow data, head data, power consumption data and equipment temperature data. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0023] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining a high-load operation status evaluation index of a pump room equipment operation optimization method based on multi-dimensional data analysis in some embodiments of the present application. According to an embodiment of the present invention, the pump room equipment is tested under high load to obtain high-load operation monitoring data, and the high-load operation status evaluation index is obtained according to the high-load operation monitoring data processing, including: S31. Testing the pump room equipment under high load to obtain high load operation monitoring data, including high load flow data, high load head data, high load power consumption data and high load equipment temperature data; S32, obtaining a high-load operation status evaluation index according to the high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data.

[0024] It should be noted that the calculation formula of the high-load operation status evaluation index is: ; in, It is the high load operation status evaluation index. , , and They are high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0025] Please refer to Figure 4 , Figure 4 It is a flow chart of the load stability evaluation index of the pump room equipment operation optimization method based on multi-dimensional data analysis in some embodiments of the present application. According to the embodiment of the present invention, the electrical parameter data of the pump room equipment under normal working conditions and under high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index, including: S41, respectively obtaining electrical parameter data of pump room equipment under normal working conditions and under high load, and processing to obtain current change values, voltage change values, and insulation resistance change values; S42, obtaining an electrical performance influence factor according to the current change value, voltage change value and insulation resistance change value; S43, obtaining a load stability evaluation index according to the electrical performance influence factor, the operating state evaluation index, and the high-load operating state evaluation index.

[0026] It should be noted that the difference between the electrical parameter data of the pump room equipment under normal working conditions and under high load is taken as the current change value, voltage change value and insulation resistance change value to evaluate the impact of high load on the electrical performance of the equipment, and then the evaluation result of the equipment stability under high load is obtained according to the changes in the equipment operating status under normal working conditions and under high load; The calculation formula of the electrical performance influence factor is: ; in, is the electrical performance influencing factor, , and They are the current change value, voltage change value and insulation resistance change value respectively. , and is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database); The calculation formula of the load stability evaluation index is: ; in, is the load stability evaluation index, is the electrical performance influencing factor, It is the high load operation status evaluation index. is the operating status evaluation index, It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0027] According to an embodiment of the present invention, the method of performing fault testing on pump room equipment to obtain fault operation monitoring data and obtaining a fault operation performance impact factor according to the fault operation monitoring data processing includes: Conduct fault tests on pump room equipment to obtain fault operation monitoring data, including flow rate change, head change, power consumption change, and equipment temperature change; The fault operation performance impact factor is obtained by processing the flow change value, the head change value, the power consumption change value and the equipment temperature change value.

[0028] It should be noted that the differences in flow, head, power consumption and equipment temperature of the pump room equipment under normal working conditions and under fault conditions are taken as flow change values, head change values, power consumption change values ​​and equipment temperature change values, respectively, to evaluate the impact of the fault on the operating performance; The calculation formula of the fault operation performance impact factor is: ; in, is the failure operation performance impact factor, , , and They are flow rate change, head change, power consumption change and equipment temperature change. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0029] According to an embodiment of the present invention, the processing according to the fault operation performance impact factor to obtain the fault response performance evaluation index, and combining the load stability evaluation index to obtain the operation reliability evaluation index and determine the corresponding optimization scheme, including: Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index according to the fault warning response time data, the fault self-repair time data and the fault operation performance influence factor; Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index; Comparing the operation reliability evaluation index with a preset operation reliability evaluation index threshold, and taking the range level to which the threshold comparison result belongs as the operation evaluation level; The operation evaluation level is input into the preset pump room equipment operation monitoring platform database for matching and identification to obtain a corresponding optimization plan.

[0030] It should be noted that the response of the equipment to the fault is evaluated based on the fault warning response accuracy, fault self-repair time and fault operation performance impact factor of the equipment under the fault state. The fault warning response accuracy is used to measure the ability of the equipment to accurately identify the fault type and issue an accurate warning when a fault occurs. The performance evaluation result of the equipment under high load is then combined to obtain the evaluation result of the overall operation reliability of the equipment, and then the operation evaluation level is obtained. The operation evaluation level is matched and identified with the operation evaluation level in the preset pump room equipment operation monitoring platform database to obtain the optimization plan corresponding to the matching operation evaluation level. The calculation formula of the fault response performance evaluation index is: ; in, is the fault response performance evaluation index, and They are respectively the fault warning response accuracy data and the fault self-repair time data. and is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database); The calculation formula of the operation reliability evaluation index is: ; in, is the operation reliability evaluation index, is the fault response performance evaluation index, is the load stability evaluation index, and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0031] According to an embodiment of the present invention, it also includes: Draw a performance curve according to the operating status evaluation index within a preset time period; Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points; Comparing the performance change rate with a preset performance change rate threshold, and taking the number of feature points whose threshold comparison results do not meet the preset threshold comparison result requirements as a statistical number; Compare the statistical quantity with a preset statistical quantity threshold, and if the statistical quantity is greater than or equal to the preset statistical quantity threshold, issue a performance abnormality reminder; If the statistical quantity is less than a preset statistical quantity threshold, it is determined to be in a normal working state.

[0032] It should be noted that a performance curve is drawn based on the operating status evaluation index within a preset time period. If the performance change rate is greater than or equal to the preset performance change rate threshold, it means that the equipment has a performance abnormality. If the number of performance abnormalities of the equipment within the preset time period exceeds the preset value, a performance abnormality reminder is issued.

[0033] According to an embodiment of the present invention, it also includes: Obtain the user's flow demand data and lift demand data, and obtain a supply-demand matching evaluation index based on the flow demand data, lift demand data, and the flow data, lift data, and power consumption data; Compare the supply-demand matching evaluation index with a preset supply-demand matching evaluation index threshold, and if the supply-demand matching evaluation index is greater than or equal to the supply-demand matching evaluation index threshold, issue a supply-demand abnormality warning; If the supply-demand matching evaluation index is less than the supply-demand matching evaluation index threshold, the supply and demand are judged to be normal.

[0034] It should be noted that when the head and flow required by the user do not match the actual output head and flow, for example, when the head and flow actually required by the user are low, but the water pump is running at a high head and large flow, the water pump motor needs to consume more power to maintain this unnecessary high working state, and the power consumption will be significantly higher than the power consumption when the supply and demand are matched normally. At this time, an abnormal supply and demand warning is required; The calculation formula of the supply-demand matching evaluation index is: ; in, is the supply-demand matching evaluation index, and They are flow demand data and lift demand data respectively. , and They are flow data, head data and power consumption data. It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0035] The present invention also discloses a pump room equipment operation optimization system based on multi-dimensional data analysis, comprising a memory and a processor, wherein the memory stores a pump room equipment operation optimization method program based on multi-dimensional data analysis, and when the pump room equipment operation optimization method program based on multi-dimensional data analysis is executed by the processor, the following steps are implemented: Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data processing; Test the pump room equipment under high load to obtain high load operation monitoring data, and obtain a high load operation status evaluation index based on the high load operation monitoring data; The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and obtain fault operation performance impact factors based on the fault operation monitoring data; The fault response performance evaluation index is obtained according to the fault operation performance influence factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and the corresponding optimization scheme is determined.

[0036] It should be noted that this application tests the operating status of the equipment under different working conditions and conducts a multi-dimensional analysis of the equipment's operating indicators, deeply analyzing the relationship between each indicator and the equipment performance, thereby obtaining equipment operation reliability evaluation results to achieve optimized operation and reliability improvement technology for pump room equipment.

[0037] According to an embodiment of the present invention, the step of testing the pump room equipment under normal working conditions to obtain operation monitoring data, and obtaining the operation status evaluation index according to the operation monitoring data processing includes: Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; The operation status evaluation index is obtained by processing the flow data, lift data, power consumption data and equipment temperature data.

[0038] It should be noted that the head refers to the height to which the pump can lift the liquid. The operating status is evaluated based on the flow rate, head, power consumption and equipment temperature. The calculation formula of the operating status evaluation index is: ; in, is the operating status evaluation index, , , and They are flow data, head data, power consumption data and equipment temperature data. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0039] According to an embodiment of the present invention, the pump room equipment is tested under high load to obtain high load operation monitoring data, and a high load operation status evaluation index is obtained according to the high load operation monitoring data processing, including: Test the pump room equipment under high load to obtain high load operation monitoring data, including high load flow data, high load head data, high load power consumption data and high load equipment temperature data; A high-load operation status evaluation index is obtained according to the high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data.

[0040] It should be noted that the calculation formula of the high-load operation status evaluation index is: ; in, It is the high load operation status evaluation index. , , and They are high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0041] According to an embodiment of the present invention, the electrical parameter data of the pump room equipment under normal working conditions and under high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index, including: Obtain the electrical parameter data of the pump room equipment under normal working conditions and high load respectively, and process to obtain the current change value, voltage change value and insulation resistance change value; Obtaining an electrical performance influence factor according to the current change value, voltage change value and insulation resistance change value; The load stability evaluation index is obtained according to the electrical performance influence factor, the operating state evaluation index and the high-load operating state evaluation index.

[0042] It should be noted that the difference between the electrical parameter data of the pump room equipment under normal working conditions and under high load is taken as the current change value, voltage change value and insulation resistance change value to evaluate the impact of high load on the electrical performance of the equipment, and then the evaluation result of the equipment stability under high load is obtained according to the changes in the equipment operating status under normal working conditions and under high load; The calculation formula of the electrical performance influence factor is: ; in, is the electrical performance influencing factor, , and They are the current change value, voltage change value and insulation resistance change value respectively. , and is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database); The calculation formula of the load stability evaluation index is: ; in, is the load stability evaluation index, is the electrical performance influencing factor, It is the high load operation status evaluation index. is the operating status evaluation index, It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0043] According to an embodiment of the present invention, the method of performing fault testing on pump room equipment to obtain fault operation monitoring data and obtaining a fault operation performance impact factor according to the fault operation monitoring data processing includes: Conduct fault tests on pump room equipment to obtain fault operation monitoring data, including flow rate change, head change, power consumption change, and equipment temperature change; The fault operation performance impact factor is obtained by processing the flow change value, the head change value, the power consumption change value and the equipment temperature change value.

[0044] It should be noted that the differences in flow, head, power consumption and equipment temperature of the pump room equipment under normal working conditions and under fault conditions are taken as flow change values, head change values, power consumption change values ​​and equipment temperature change values, respectively, to evaluate the impact of the fault on the operating performance; The calculation formula of the fault operation performance impact factor is: ; in, is the failure operation performance impact factor, , , and They are flow rate change, head change, power consumption change and equipment temperature change. , , and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0045] According to an embodiment of the present invention, the processing according to the fault operation performance impact factor to obtain the fault response performance evaluation index, and combining the load stability evaluation index to obtain the operation reliability evaluation index and determine the corresponding optimization scheme, including: Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index according to the fault warning response time data, the fault self-repair time data and the fault operation performance influence factor; Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index; Comparing the operation reliability evaluation index with a preset operation reliability evaluation index threshold, and taking the range level to which the threshold comparison result belongs as the operation evaluation level; The operation evaluation level is input into the preset pump room equipment operation monitoring platform database for matching and identification to obtain a corresponding optimization plan.

[0046] It should be noted that the response of the equipment to the fault is evaluated based on the fault warning response accuracy, fault self-repair time and fault operation performance impact factor of the equipment under the fault state. The fault warning response accuracy is used to measure the ability of the equipment to accurately identify the fault type and issue an accurate warning when a fault occurs. The performance evaluation result of the equipment under high load is then combined to obtain the evaluation result of the overall operation reliability of the equipment, and then the operation evaluation level is obtained. The operation evaluation level is matched and identified with the operation evaluation level in the preset pump room equipment operation monitoring platform database to obtain the optimization plan corresponding to the matching operation evaluation level. The calculation formula of the fault response performance evaluation index is: ; in, is the fault response performance evaluation index, and They are respectively the fault warning response accuracy data and the fault self-repair time data. and is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database); The calculation formula of the operation reliability evaluation index is: ; in, is the operation reliability evaluation index, is the fault response performance evaluation index, is the load stability evaluation index, and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0047] According to an embodiment of the present invention, it also includes: Draw a performance curve according to the operating status evaluation index within a preset time period; Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points; Comparing the performance change rate with a preset performance change rate threshold, and taking the number of feature points whose threshold comparison results do not meet the preset threshold comparison result requirements as a statistical number; Compare the statistical quantity with a preset statistical quantity threshold, and if the statistical quantity is greater than or equal to the preset statistical quantity threshold, issue a performance abnormality reminder; If the statistical quantity is less than a preset statistical quantity threshold, it is determined to be in a normal working state.

[0048] It should be noted that a performance curve is drawn based on the operating status evaluation index within a preset time period. If the performance change rate is greater than or equal to the preset performance change rate threshold, it means that the equipment has a performance abnormality. If the number of performance abnormalities of the equipment within the preset time period exceeds the preset value, a performance abnormality reminder is issued.

[0049] According to an embodiment of the present invention, it also includes: Obtain the user's flow demand data and lift demand data, and obtain a supply-demand matching evaluation index based on the flow demand data, lift demand data, and the flow data, lift data, and power consumption data; Compare the supply-demand matching evaluation index with a preset supply-demand matching evaluation index threshold, and if the supply-demand matching evaluation index is greater than or equal to the supply-demand matching evaluation index threshold, issue a supply-demand abnormality warning; If the supply-demand matching evaluation index is less than the supply-demand matching evaluation index threshold, the supply and demand are judged to be normal.

[0050] It should be noted that when the head and flow required by the user do not match the actual output head and flow, for example, when the head and flow actually required by the user are low, but the water pump is running at a high head and large flow, the water pump motor needs to consume more power to maintain this unnecessary high working state, and the power consumption will be significantly higher than the power consumption when the supply and demand are matched normally. At this time, an abnormal supply and demand warning is required; The calculation formula of the supply-demand matching evaluation index is: ; in, is the supply-demand matching evaluation index, and They are flow demand data and lift demand data respectively. , and They are flow data, head data and power consumption data. It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0051] The present invention discloses a method and system for optimizing the operation of pump room equipment based on multi-dimensional data analysis. By testing the operating status of the equipment under different working conditions and performing multi-dimensional analysis on the operating indicators of the equipment, the relationship between each indicator and the equipment performance is deeply analyzed, thereby obtaining equipment operation reliability evaluation results to achieve technology for optimizing the operation and improving the reliability of the pump room equipment.

[0052] 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.

[0053] 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.

[0054] 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.

Claims

1. A method for optimizing pump room equipment operation based on multi-dimensional data analysis, characterized in that: The following steps are involved: Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data processing; Test the pump room equipment under high load to obtain high load operation monitoring data, and obtain a high load operation status evaluation index based on the high load operation monitoring data; The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and obtain fault operation performance impact factors based on the fault operation monitoring data; The fault response performance evaluation index is obtained according to the fault operation performance influence factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and the corresponding optimization scheme is determined.

2. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 1 is characterized in that: The pump room equipment is tested under normal working conditions to obtain operation monitoring data, and the operation status evaluation index is obtained according to the operation monitoring data processing, including: Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; The operation status evaluation index is obtained by processing the flow data, lift data, power consumption data and equipment temperature data.

3. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 2 is characterized in that: The pump room equipment is tested under high load to obtain high load operation monitoring data, and a high load operation status evaluation index is obtained according to the high load operation monitoring data, including: Test the pump room equipment under high load to obtain high load operation monitoring data, including high load flow data, high load head data, high load power consumption data and high load equipment temperature data; A high-load operation status evaluation index is obtained according to the high-load flow data, high-load head data, high-load power consumption data and high-load equipment temperature data.

4. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 3 is characterized in that: The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operating state evaluation index and the high load operating state evaluation index, including: Obtain the electrical parameter data of the pump room equipment under normal working conditions and high load respectively, and process to obtain the current change value, voltage change value and insulation resistance change value; Obtaining an electrical performance influence factor according to the current change value, voltage change value and insulation resistance change value; The load stability evaluation index is obtained according to the electrical performance influence factor, the operating state evaluation index and the high-load operating state evaluation index.

5. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 4 is characterized in that: The method of performing fault testing on the pump room equipment to obtain fault operation monitoring data and obtaining the fault operation performance impact factor according to the fault operation monitoring data processing includes: Conduct fault tests on pump room equipment to obtain fault operation monitoring data, including flow rate change, head change, power consumption change, and equipment temperature change; The fault operation performance impact factor is obtained by processing the flow change value, the head change value, the power consumption change value and the equipment temperature change value.

6. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 5 is characterized in that: The processing according to the fault operation performance influence factor to obtain the fault response performance evaluation index, and combining the load stability evaluation index to obtain the operation reliability evaluation index and determine the corresponding optimization scheme, including: Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index according to the fault warning response time data, the fault self-repair time data and the fault operation performance influence factor; Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index; Comparing the operation reliability evaluation index with a preset operation reliability evaluation index threshold, and taking the range level to which the threshold comparison result belongs as the operation evaluation level; The operation evaluation level is input into the preset pump room equipment operation monitoring platform database for matching and identification to obtain a corresponding optimization plan.

7. The pump room equipment operation optimization method based on multi-dimensional data analysis according to claim 6 is characterized in that: Also includes: Draw a performance curve according to the operating status evaluation index within a preset time period; Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points; Comparing the performance change rate with a preset performance change rate threshold, and taking the number of feature points whose threshold comparison results do not meet the preset threshold comparison result requirements as a statistical number; Compare the statistical quantity with a preset statistical quantity threshold, and if the statistical quantity is greater than or equal to the preset statistical quantity threshold, issue a performance abnormality reminder; If the statistical quantity is less than a preset statistical quantity threshold, it is determined to be in a normal working state.

8. Pump room equipment operation optimization system based on multi-dimensional data analysis, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a program of a method for optimizing the operation of pump room equipment based on multi-dimensional data analysis, and the method for optimizing the operation of pump room equipment based on multi-dimensional data analysis is executed by the processor to implement the following steps: Test the pump room equipment under normal working conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data processing; Test the pump room equipment under high load to obtain high load operation monitoring data, and obtain a high load operation status evaluation index based on the high load operation monitoring data; The electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance influence factor is obtained by processing, and the load stability evaluation index is obtained by combining the operation status evaluation index and the high load operation status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and obtain fault operation performance impact factors based on the fault operation monitoring data; The fault response performance evaluation index is obtained according to the fault operation performance influence factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and the corresponding optimization scheme is determined.

9. The pump room equipment operation optimization system based on multi-dimensional data analysis according to claim 8 is characterized in that: The pump room equipment is tested under normal working conditions to obtain operation monitoring data, and the operation status evaluation index is obtained according to the operation monitoring data processing, including: Test the pump room equipment under normal working conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; The operation status evaluation index is obtained by processing the flow data, lift data, power consumption data and equipment temperature data.

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