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

Abstract

The present application provides a method and system for optimizing the operation of pump room equipment based on multi-dimensional data analysis. The method includes: testing the pump room equipment under normal working conditions and high load respectively, and processing to obtain an operating status evaluation index and a high-load operating status evaluation index; processing the electrical parameter data of the pump room equipment under normal working conditions and high load to obtain an electrical performance impact factor, and combining the operating status evaluation index and the high-load operating status evaluation index to obtain a load stability evaluation index; performing a fault test on the pump room equipment, processing the fault operation monitoring data to obtain a fault operation performance impact factor, processing the fault operation performance impact factor to obtain a fault response performance evaluation index, and combining the load stability evaluation index to obtain an operation reliability evaluation index and determine a corresponding optimization scheme; thereby achieving the purpose of optimizing the operation of the pump room equipment.

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 numerous infrastructure and industrial systems, pump rooms play an indispensable role in urban water supply, sewage treatment, industrial liquid transportation, and fire protection. However, traditional pump room equipment operation and management often face many challenges. During operation, most pump room equipment relies solely on simple local instrument monitoring and regular manual inspections for maintenance and management. This fails to provide comprehensive and in-depth equipment operation information, and it is difficult to fully and accurately grasp the actual operating status of pump room equipment under various operating 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 operating status of equipment under different operating conditions, conduct multi-dimensional analysis of equipment 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 pump room equipment operation optimization method and system 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 equipment's operating indicators, the relationship between each indicator and equipment performance is deeply analyzed, thereby obtaining equipment operation reliability evaluation results to achieve technology for optimizing the operation and improving the reliability of pump room equipment.

[0004] This application also provides a method for optimizing pump room equipment operation based on multi-dimensional data analysis, comprising the following steps:

[0005] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data;

[0006] 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;

[0007] Obtaining electrical parameter data of the pump room equipment under normal working conditions and high load respectively, processing to obtain an electrical performance impact factor, and combining the operating status evaluation index and the high load operating status evaluation index to obtain a load stability evaluation index;

[0008] Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and process the fault operation monitoring data to obtain the fault operation performance impact factor;

[0009] The fault response performance evaluation index is obtained according to the fault operation performance impact factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and a corresponding optimization scheme is determined.

[0010] 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 operating conditions to obtain operation monitoring data, and the operation status evaluation index is obtained based on the operation monitoring data, including:

[0011] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data;

[0012] An operation status evaluation index is obtained based on the flow data, head data, power consumption data and equipment temperature data.

[0013] 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 based on the high-load operation monitoring data, including:

[0014] 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;

[0015] 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.

[0016] 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:

[0017] Obtain electrical parameter data of pump room equipment under normal working conditions and high load respectively, and process to obtain current change value, voltage change value and insulation resistance change value;

[0018] Obtaining an electrical performance impact factor according to the current change value, voltage change value, and insulation resistance change value;

[0019] 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.

[0020] 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 based on the fault operation monitoring data, including:

[0021] 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;

[0022] The fault operation performance impact factor is obtained according to the flow change value, head change value, power consumption change value and equipment temperature change value.

[0023] Optionally, in the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application, the processing according to the fault operation performance impact factor to obtain the fault response performance evaluation index, and the processing combined with the load stability evaluation index to obtain the operation reliability evaluation index and determine the corresponding optimization scheme, including:

[0024] Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index based on the fault warning response time data, the fault self-repair time data, and the fault operation performance impact factor;

[0025] Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index;

[0026] 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;

[0027] 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.

[0028] Optionally, the pump room equipment operation optimization method based on multi-dimensional data analysis described in the present application further includes:

[0029] Draw a performance curve based on the operating status evaluation index within a preset time period;

[0030] Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points;

[0031] 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;

[0032] Comparing the statistical quantity with a preset statistical quantity threshold, and issuing a performance abnormality alert if the statistical quantity is greater than or equal to the preset statistical quantity threshold;

[0033] If the statistical quantity is less than the preset statistical quantity threshold, it is determined to be in a normal working state.

[0034] In a second aspect, the present application provides a pump room equipment operation optimization system based on multidimensional data analysis, the system comprising: a memory and a processor, wherein the memory stores a program of a pump room equipment operation optimization method based on multidimensional data analysis, and when the program of the pump room equipment operation optimization method based on multidimensional data analysis is executed by the processor, the following steps are implemented:

[0035] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data;

[0036] 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;

[0037] Obtaining electrical parameter data of the pump room equipment under normal working conditions and high load respectively, processing to obtain an electrical performance impact factor, and combining the operating status evaluation index and the high load operating status evaluation index to obtain a load stability evaluation index;

[0038] Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and process the fault operation monitoring data to obtain the fault operation performance impact factor;

[0039] The fault response performance evaluation index is obtained according to the fault operation performance impact factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and a corresponding optimization scheme is determined.

[0040] 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 operating conditions to obtain operation monitoring data, and the operation status evaluation index is obtained based on the operation monitoring data, including:

[0041] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data;

[0042] An operation status evaluation index is obtained based on the flow data, head data, power consumption data and equipment temperature data.

[0043] 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 this application tests the operating status of the equipment under different working conditions and conducts multi-dimensional analysis of the equipment's operating indicators, and deeply analyzes the relationship between each indicator and equipment performance, thereby obtaining equipment operation reliability evaluation results to achieve optimized operation and reliability improvement of pump room equipment.

[0044] Other features and advantages of the present application will be described in the following description, and in part will become apparent from the description, or understood by practicing the embodiments of the present application. The objectives and other advantages of the present application can be achieved and obtained through the structures particularly pointed out in the written description and the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. 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 relevant drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 A flowchart of a method for optimizing pump room equipment operation based on multi-dimensional data analysis provided in an embodiment of the present application;

[0047] Figure 2 A flowchart of obtaining an operating 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;

[0048] Figure 3 A flowchart 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;

[0049] 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

[0050] 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 generally 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 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 fall within the scope of protection of the present application.

[0051] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or 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 should not be understood as indicating or implying relative importance.

[0052] Please refer to Figure 1 , Figure 1 This is a flow chart of a method for optimizing the operation of pump room equipment based on multi-dimensional data analysis in some embodiments of the present application. This method for optimizing the operation of pump room equipment based on multi-dimensional data analysis is used in terminal devices, such as computers, mobile terminals, etc. This method for optimizing the operation of pump room equipment based on multi-dimensional data analysis includes the following steps:

[0053] S11. Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain an operation status evaluation index based on the operation monitoring data;

[0054] 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 based on the high load operation monitoring data;

[0055] S13, respectively obtaining electrical parameter data of the pump room equipment under normal working conditions and under high load, processing to obtain an electrical performance impact factor, and combining the operating status evaluation index and the high-load operating status evaluation index to obtain a load stability evaluation index;

[0056] S14. Perform fault testing on the pump room equipment to obtain fault operation monitoring data, and obtain the fault operation performance impact factor based on the fault operation monitoring data;

[0057] S15. Obtain a fault response performance evaluation index based on the fault operation performance impact factor, obtain an operation reliability evaluation index in combination with the load stability evaluation index, and determine a corresponding optimization solution.

[0058] 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 analyzes the relationship between each indicator and equipment performance, and thus obtains equipment operation reliability evaluation results to achieve optimized operation and reliability improvement of pump room equipment.

[0059] Please refer to Figure 2 , Figure 2 This is 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 in some embodiments of the present application. According to an embodiment of the present invention, testing the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtaining an operation status evaluation index based on the operation monitoring data, includes:

[0060] S21. Test the pump room equipment under normal operating conditions to obtain operation monitoring data, including flow data, head data, power consumption data, and equipment temperature data;

[0061] S22. Obtain an operation status evaluation index based on the flow data, lift data, power consumption data, and equipment temperature data.

[0062] It should be noted that the lift refers to the height to which the pump can lift the liquid. The operating status is evaluated based on the flow rate, lift, power consumption and equipment temperature. The calculation formula for the operating status evaluation index is:

[0063] ;

[0064] in, is the operating status evaluation index, 、 、 and They are flow data, lift 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).

[0065] Please refer to Figure 3 , Figure 3 This is a flow chart of obtaining a high-load operation status evaluation index for a method for optimizing pump room equipment operation based on multi-dimensional data analysis in some embodiments of the present application. According to an embodiment of the present invention, testing the pump room equipment under high load to obtain high-load operation monitoring data, and obtaining a high-load operation status evaluation index based on the high-load operation monitoring data, includes:

[0066] 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;

[0067] S32 , obtaining a high-load operation status evaluation index based on the high-load flow data, high-load head data, high-load power consumption data, and high-load equipment temperature data.

[0068] It should be noted that the calculation formula of the high-load operation status evaluation index is:

[0069] ;

[0070] in, 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).

[0071] Please refer to Figure 4 , Figure 4 This 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 an embodiment of the present invention, the electrical parameter data of the pump room equipment under normal operating conditions and high load are obtained, and the electrical performance impact 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. The process includes:

[0072] S41, respectively obtaining electrical parameter data of the pump room equipment under normal working conditions and high load, and processing to obtain current change values, voltage change values, and insulation resistance change values;

[0073] S42, obtaining an electrical performance impact factor according to the current change value, voltage change value, and insulation resistance change value;

[0074] S43 , obtaining a load stability evaluation index according to the electrical performance impact factor, the operating status evaluation index, and the high-load operating status evaluation index.

[0075] It should be noted that the difference in electrical parameter data of the pump room equipment under normal operating conditions and 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. Then, based on the changes in the equipment operating status under normal operating conditions and high load, the evaluation results of the equipment stability under high load are obtained;

[0076] The calculation formula of the electrical performance influence factor is:

[0077] ;

[0078] 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);

[0079] The calculation formula of the load stability evaluation index is:

[0080] ;

[0081] in, is the load stability evaluation index, is the electrical performance influencing factor, 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).

[0082] According to an embodiment of the present invention, performing fault testing on pump room equipment to obtain fault operation monitoring data, and obtaining a fault operation performance impact factor based on the fault operation monitoring data, includes:

[0083] 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;

[0084] The fault operation performance impact factor is obtained according to the flow change value, head change value, power consumption change value and equipment temperature change value.

[0085] It should be noted that the differences in flow rate, head, power consumption and equipment temperature of the pump room equipment under normal operating conditions and fault conditions are taken as flow change values, head change values, power consumption change values ​​and equipment temperature change values ​​to evaluate the impact of the fault on the operating performance;

[0086] The calculation formula of the fault operation performance impact factor is:

[0087] ;

[0088] in, is the fault operation performance impact factor, 、 、 and They are flow rate change value, head change value, power consumption change value and equipment temperature change value, 、 、 and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0089] According to an embodiment of the present invention, the processing of obtaining a fault response performance evaluation index based on the fault operation performance impact factor, and combining the processing of the load stability evaluation index to obtain an operation reliability evaluation index and determine a corresponding optimization solution include:

[0090] Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index based on the fault warning response time data, the fault self-repair time data, and the fault operation performance impact factor;

[0091] Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index;

[0092] 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;

[0093] 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.

[0094] It should be noted that the response of the equipment to the fault is evaluated based on the fault warning response accuracy and fault self-repair time of the equipment under the fault state and the fault operation performance impact factor. 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;

[0095] The calculation formula of the fault response performance evaluation index is:

[0096] ;

[0097] 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);

[0098] The calculation formula of the operation reliability evaluation index is:

[0099] ;

[0100] 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).

[0101] According to an embodiment of the present invention, the further embodiment includes:

[0102] Draw a performance curve based on the operating status evaluation index within a preset time period;

[0103] Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points;

[0104] 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;

[0105] Comparing the statistical quantity with a preset statistical quantity threshold, and issuing a performance abnormality alert if the statistical quantity is greater than or equal to the preset statistical quantity threshold;

[0106] If the statistical quantity is less than the preset statistical quantity threshold, it is determined to be in a normal working state.

[0107] 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 at this time. If the number of performance abnormalities of the equipment within the preset time period exceeds the preset value, a performance abnormality reminder will be issued.

[0108] According to an embodiment of the present invention, the further embodiment includes:

[0109] Obtaining the user's flow demand data and lift demand data, and obtaining 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;

[0110] Comparing the supply-demand matching evaluation index with a preset supply-demand matching evaluation index threshold, and issuing a supply-demand anomaly warning if the supply-demand matching evaluation index is greater than or equal to the supply-demand matching evaluation index threshold;

[0111] 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.

[0112] 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 pump is running at high head and large flow, the pump motor will need to consume more electricity 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 normally matched. At this time, a supply and demand abnormality warning is required;

[0113] The calculation formula of the supply-demand matching evaluation index is:

[0114] ;

[0115] in, is the supply-demand matching evaluation index, and They are flow demand data and lift demand data respectively. 、 and They are flow data, lift data and power consumption data respectively. It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0116] The present invention also discloses a pump room equipment operation optimization system based on multi-dimensional data analysis, comprising a memory and a processor. The memory stores a pump room equipment operation optimization method program based on multi-dimensional data analysis. 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:

[0117] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data;

[0118] 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;

[0119] Obtaining electrical parameter data of the pump room equipment under normal working conditions and high load respectively, processing to obtain an electrical performance impact factor, and combining the operating status evaluation index and the high load operating status evaluation index to obtain a load stability evaluation index;

[0120] Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and process the fault operation monitoring data to obtain the fault operation performance impact factor;

[0121] The fault response performance evaluation index is obtained according to the fault operation performance impact factor, and the operation reliability evaluation index is obtained in combination with the load stability evaluation index, and a corresponding optimization scheme is determined.

[0122] 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 analyzes the relationship between each indicator and equipment performance, and thus obtains equipment operation reliability evaluation results to achieve optimized operation and reliability improvement of pump room equipment.

[0123] According to an embodiment of the present invention, the step of testing the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtaining an operation status evaluation index based on the operation monitoring data, includes:

[0124] Test the pump room equipment under normal operating conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data;

[0125] An operation status evaluation index is obtained based on the flow data, head data, power consumption data and equipment temperature data.

[0126] It should be noted that the lift refers to the height to which the pump can lift the liquid. The operating status is evaluated based on the flow rate, lift, power consumption and equipment temperature. The calculation formula for the operating status evaluation index is:

[0127] ;

[0128] in, is the operating status evaluation index, 、 、 and They are flow data, lift 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).

[0129] According to an embodiment of the present invention, the step of testing the pump room equipment under high load to obtain high load operation monitoring data, and obtaining a high load operation status evaluation index based on the high load operation monitoring data, includes:

[0130] 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;

[0131] 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.

[0132] It should be noted that the calculation formula of the high-load operation status evaluation index is:

[0133] ;

[0134] in, 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).

[0135] According to an embodiment of the present invention, the electrical parameter data of the pump room equipment under normal working conditions and high load are respectively obtained, and the electrical performance impact 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. The process includes:

[0136] Obtain electrical parameter data of pump room equipment under normal working conditions and high load respectively, and process to obtain current change value, voltage change value and insulation resistance change value;

[0137] Obtaining an electrical performance impact factor according to the current change value, voltage change value, and insulation resistance change value;

[0138] 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.

[0139] It should be noted that the difference in electrical parameter data of the pump room equipment under normal operating conditions and 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. Then, based on the changes in the equipment operating status under normal operating conditions and high load, the evaluation results of the equipment stability under high load are obtained;

[0140] The calculation formula of the electrical performance impact factor is:

[0141] ;

[0142] 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);

[0143] The calculation formula of the load stability evaluation index is:

[0144] ;

[0145] in, is the load stability evaluation index, is the electrical performance influencing factor, 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).

[0146] According to an embodiment of the present invention, performing fault testing on pump room equipment to obtain fault operation monitoring data, and obtaining a fault operation performance impact factor based on the fault operation monitoring data, includes:

[0147] 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;

[0148] The fault operation performance impact factor is obtained according to the flow change value, head change value, power consumption change value and equipment temperature change value.

[0149] It should be noted that the differences in flow rate, head, power consumption and equipment temperature of the pump room equipment under normal operating conditions and fault conditions are taken as flow change values, head change values, power consumption change values ​​and equipment temperature change values ​​to evaluate the impact of the fault on the operating performance;

[0150] The calculation formula of the fault operation performance impact factor is:

[0151] ;

[0152] in, is the fault operation performance impact factor, 、 、 and They are flow rate change value, head change value, power consumption change value and equipment temperature change value, 、 、 and It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0153] According to an embodiment of the present invention, the processing of obtaining a fault response performance evaluation index based on the fault operation performance impact factor, and combining the processing of the load stability evaluation index to obtain an operation reliability evaluation index and determine a corresponding optimization solution include:

[0154] Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index based on the fault warning response time data, the fault self-repair time data, and the fault operation performance impact factor;

[0155] Obtaining an operation reliability evaluation index according to the load stability evaluation index and the fault response performance evaluation index;

[0156] 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;

[0157] 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.

[0158] It should be noted that the response of the equipment to the fault is evaluated based on the fault warning response accuracy and fault self-repair time of the equipment under the fault state and the fault operation performance impact factor. 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;

[0159] The calculation formula of the fault response performance evaluation index is:

[0160] ;

[0161] 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);

[0162] The calculation formula of the operation reliability evaluation index is:

[0163] ;

[0164] 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).

[0165] According to an embodiment of the present invention, the further embodiment includes:

[0166] Draw a performance curve based on the operating status evaluation index within a preset time period;

[0167] Identify the characteristic points of the performance curve and obtain the performance change rate corresponding to the characteristic points;

[0168] 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;

[0169] Comparing the statistical quantity with a preset statistical quantity threshold, and issuing a performance abnormality alert if the statistical quantity is greater than or equal to the preset statistical quantity threshold;

[0170] If the statistical quantity is less than the preset statistical quantity threshold, it is determined to be in a normal working state.

[0171] 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 at this time. If the number of performance abnormalities of the equipment within the preset time period exceeds the preset value, a performance abnormality reminder will be issued.

[0172] According to an embodiment of the present invention, the further embodiment includes:

[0173] Obtaining the user's flow demand data and lift demand data, and obtaining 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;

[0174] Comparing the supply-demand matching evaluation index with a preset supply-demand matching evaluation index threshold, and issuing a supply-demand anomaly warning if the supply-demand matching evaluation index is greater than or equal to the supply-demand matching evaluation index threshold;

[0175] 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.

[0176] 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 pump is running at high head and large flow, the pump motor will need to consume more electricity 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 normally matched. At this time, a supply and demand abnormality warning is required;

[0177] The calculation formula of the supply-demand matching evaluation index is:

[0178] ;

[0179] in, is the supply-demand matching evaluation index, and They are flow demand data and lift demand data respectively. 、 and They are flow data, lift data and power consumption data respectively. It is the preset characteristic coefficient (which can be obtained by querying the preset pump room equipment operation monitoring platform database).

[0180] 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 the equipment operation reliability evaluation results to achieve the technology of optimizing the operation and improving the reliability of the pump room equipment.

[0181] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, 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.

[0182] 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 across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0183] 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 pump room equipment operation optimization method based on multi-dimensional data analysis, characterized in that: The following steps are involved: Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data; 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; Obtain electrical parameter data of pump room equipment under normal working conditions and high load respectively, and process to obtain current change value, voltage change value and insulation resistance change value; Obtaining an electrical performance impact factor according to the current change value, voltage change value, and insulation resistance change value; Obtaining a load stability evaluation index according to the electrical performance impact factor, the operating status evaluation index, and the high-load operating status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and process the fault operation monitoring data to obtain the fault operation performance impact factor; Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index based on the fault warning response time data, the fault self-repair time data, and the fault operation performance impact 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.

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

3. The pump room equipment operation optimization method based on multidimensional data analysis according to claim 2, 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 based on 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 multidimensional data analysis according to claim 3, 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 based on the fault operation monitoring data 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 according to the flow change value, head change value, power consumption change value and equipment temperature change value.

5. The pump room equipment operation optimization method based on multidimensional data analysis according to claim 4 is characterized in that, Also includes: Draw a performance curve based on 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; Comparing the statistical quantity with a preset statistical quantity threshold, and issuing a performance abnormality alert if the statistical quantity is greater than or equal to the preset statistical quantity threshold; If the statistical quantity is less than the preset statistical quantity threshold, it is determined to be in a normal working state.

6. The pump room equipment operation optimization system based on multi-dimensional data analysis is characterized by: The invention comprises a memory and a processor, wherein a program of a method for optimizing the operation of a pump room equipment based on multi-dimensional data analysis is stored in the memory, and the method program for optimizing the operation of a pump room equipment based on multi-dimensional data analysis is implemented when the processor executes the following steps: Test the pump room equipment under normal operating conditions to obtain operation monitoring data, and obtain the operation status evaluation index based on the operation monitoring data; 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; Obtain electrical parameter data of pump room equipment under normal working conditions and high load respectively, and process to obtain current change value, voltage change value and insulation resistance change value; Obtaining an electrical performance impact factor according to the current change value, voltage change value, and insulation resistance change value; Obtaining a load stability evaluation index according to the electrical performance impact factor, the operating status evaluation index, and the high-load operating status evaluation index; Conduct fault tests on pump room equipment to obtain fault operation monitoring data, and process the fault operation monitoring data to obtain the fault operation performance impact factor; Obtaining fault warning response accuracy data and fault self-repair time data, and obtaining a fault response performance evaluation index based on the fault warning response time data, the fault self-repair time data, and the fault operation performance impact 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 system based on multi-dimensional data analysis according to claim 6 is characterized in that, The pump room equipment is tested under normal operating conditions to obtain operation monitoring data, and the operation status evaluation index is obtained based on the operation monitoring data, including: Test the pump room equipment under normal operating conditions to obtain operation monitoring data, including flow data, head data, power consumption data and equipment temperature data; An operation status evaluation index is obtained based on the flow data, head data, power consumption data and equipment temperature data.

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