A method and system for evaluating operational efficiency of electromechanical devices

Abstract

The application provides a method and system for evaluating operation efficiency of electromechanical equipment, relates to the technical field of efficiency evaluation, collects equipment operation data and equipment efficiency data, performs preliminary classification and reclassification to obtain subcategory operation data of category operation data and subcategory efficiency data of category efficiency data, performs efficiency proportion analysis to obtain subcategory operation efficiency ratio and category operation efficiency ratio, sets actual efficiency weight data, and obtains efficiency gap ratio of preset operation data categories; the equipment efficiency gap ratio is obtained, efficiency comparison analysis and judgment are performed according to the equipment efficiency gap ratio, and efficiency state judgment information of the electromechanical equipment is obtained; single-machine operation efficiency analysis and linkage operation efficiency analysis are performed on the electromechanical equipment, and then equipment single-machine linkage efficiency judgment information is obtained; and the operation data and efficiency data of the electromechanical equipment are collected, classified and analyzed, so that the operation efficiency state of the equipment is comprehensively and accurately evaluated.

Description

Technical Field

[0001] This invention proposes a method and system for evaluating the operational efficiency of electromechanical equipment, relating to the field of efficiency evaluation technology, specifically to the field of operational efficiency evaluation of electromechanical equipment. Background Technology

[0002] Traditional methods often only collect partial operating and performance data of equipment, and the classification methods are singular, making it difficult to fully reflect the operating status of the equipment. They rely on experience or subjective judgment to set the weights of various indicators, making it difficult to obtain the weight data of the corresponding performance contribution. Consequently, it is difficult to obtain the target performance corresponding to the weight, resulting in a rigid and inflexible performance analysis of electromechanical equipment. Traditional methods mainly focus on the single-machine operating performance of equipment, neglecting the analysis of single-machine or linkage performance. Summary of the Invention

[0003] This invention provides a method and system for evaluating the operational performance of electromechanical equipment, in order to solve the above-mentioned problems:

[0004] This invention proposes a method and system for evaluating the operational efficiency of electromechanical equipment, the method comprising:

[0005] Collect equipment operation data and equipment performance data for each electromechanical device for performance evaluation, perform preliminary classification and reclassification to obtain sub-category operation data and sub-category performance data of category operation data;

[0006] Perform efficiency ratio analysis on sub-category efficiency data to obtain sub-category operating energy efficiency ratio; perform efficiency ratio analysis on category efficiency data to obtain category operating efficiency ratio; set actual efficiency weight data based on equipment operating data and category operating data; then obtain category target efficiency data; and finally obtain the efficiency gap ratio of preset operating data categories.

[0007] Obtain the equipment efficiency gap ratio, conduct efficiency comparison analysis and judgment based on the equipment efficiency gap ratio, and obtain efficiency status judgment information of electromechanical equipment;

[0008] The single-machine operation efficiency analysis and linkage operation efficiency analysis of electromechanical equipment are carried out to obtain the information on the determination of the single-machine linkage efficiency of the equipment.

[0009] Furthermore, the system includes:

[0010] The assessment and classification module is used to collect equipment operation data and equipment performance data of each electromechanical device for operational performance assessment, and to perform preliminary classification and reclassification to obtain sub-category operation data of category operation data and sub-category performance data of category performance data.

[0011] The percentage analysis module is used to perform efficiency percentage analysis on sub-category efficiency data to obtain the sub-category operating energy efficiency ratio, perform efficiency percentage analysis on category efficiency data to obtain the category operating efficiency ratio, set actual efficiency weight data based on equipment operating data and category operating data, and then obtain the category target efficiency data, and then obtain the efficiency gap ratio of preset operating data categories.

[0012] The preliminary performance evaluation module is used to obtain the equipment performance gap ratio, perform performance comparison analysis and judgment based on the equipment performance gap ratio, and obtain performance status judgment information of electromechanical equipment.

[0013] The single-machine linkage performance analysis module is used to perform single-machine operation performance analysis and linkage operation performance analysis on electromechanical equipment, thereby obtaining information on the single-machine linkage performance of the equipment.

[0014] The beneficial effects of this invention are as follows: By refining the equipment details, in-depth data performance analysis of electromechanical equipment can be achieved, improving the accuracy and comprehensiveness of performance analysis. It enables comprehensive and targeted analysis of the performance of electromechanical equipment; through performance ratio analysis, the performance contribution of each category and subcategory in the overall electromechanical equipment can be obtained, further revealing the performance analysis of category and subcategory weights, simplifying the complexity of performance calculation, differentiating the complexity of performance analysis, and improving task completion. By setting actual performance weight data through category performance ratios, which more closely match the performance characteristics of each category, categories with higher performance can be assigned more weights, optimizing the performance of electromechanical equipment and enhancing its effectiveness; by obtaining the equipment performance gap ratio, the performance of equipment can be accurately quantified, efficiently acquiring the operational performance of electromechanical equipment; through single-machine operation performance analysis and linkage operation performance analysis, targeted analysis of different operating scenarios of electromechanical equipment can be achieved, thereby realizing accurate evaluation of the single-machine performance and linkage performance of electromechanical equipment. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of a method for evaluating the operational efficiency of electromechanical equipment. Detailed Implementation

[0016] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0017] One embodiment of the present invention provides a method for evaluating the operational efficiency of electromechanical equipment, the method comprising:

[0018] Collect equipment operation data and equipment performance data for each electromechanical device for performance evaluation, perform preliminary classification and reclassification to obtain sub-category operation data and sub-category performance data of category operation data;

[0019] Perform efficiency ratio analysis on sub-category efficiency data to obtain sub-category operating energy efficiency ratio; perform efficiency ratio analysis on category efficiency data to obtain category operating efficiency ratio; set actual efficiency weight data based on equipment operating data and category operating data; then obtain category target efficiency data; and finally obtain the efficiency gap ratio of preset operating data categories.

[0020] Obtain the equipment efficiency gap ratio, conduct efficiency comparison analysis and judgment based on the equipment efficiency gap ratio, and obtain efficiency status judgment information of electromechanical equipment;

[0021] Perform single-machine operation efficiency analysis and coordinated operation efficiency analysis on electromechanical equipment to obtain information on the determination of single-machine coordinated operation efficiency, such as... Figure 1 As shown.

[0022] The working principle and technical effects of the above technical solution are as follows: Equipment operation data and equipment performance data for each piece of electromechanical equipment undergoing performance evaluation are collected. Preliminary and subsequent classifications are performed to obtain sub-category operation data and sub-category performance data for each category of operation data. Through further refinement of the equipment data, in-depth performance analysis of the electromechanical equipment can be achieved, improving the accuracy and comprehensiveness of the performance analysis. This enables a comprehensive and targeted analysis of the performance of electromechanical equipment.

[0023] By performing efficiency ratio analysis on sub-category efficiency data, the operating efficiency ratio of sub-categories can be obtained. Similarly, by performing efficiency ratio analysis on category efficiency data, the operating efficiency ratio of categories can be obtained. Through efficiency ratio analysis, the efficiency contribution of each category and sub-category in the overall electromechanical equipment can be obtained. Furthermore, the efficiency analysis of the weights of categories and sub-categories can be obtained, simplifying the complexity of efficiency calculation, differentiating the complexity of efficiency analysis, and improving the task's achievability.

[0024] Based on equipment operation data and category operation data, actual performance weight data is set, and then category target performance data is obtained. Then, the performance gap ratio of preset operation data categories is obtained. The actual performance weight data set by category performance ratio is more in line with the performance characteristics of the category, so that the category with higher performance can be assigned more weight, thereby optimizing the performance of electromechanical equipment and improving the performance enhancement of electromechanical equipment.

[0025] The system obtains the equipment efficiency gap ratio, performs efficiency comparison analysis based on the equipment efficiency gap ratio, and obtains the efficiency status judgment information of electromechanical equipment. By obtaining the equipment efficiency gap ratio, the system can accurately quantify the efficiency of the equipment and efficiently obtain the operating efficiency of electromechanical equipment.

[0026] Individual and coordinated operation performance analyses are performed on electromechanical equipment to obtain information on the assessment of individual and coordinated operation performance. These analyses enable targeted analysis of different operating scenarios for electromechanical equipment, leading to accurate evaluation of both individual and coordinated operation performance.

[0027] In one embodiment of the present invention, the process of collecting equipment operation data and equipment performance data for each electromechanical device undergoing operational performance evaluation, and performing preliminary classification and reclassification to obtain sub-category operation data and sub-category performance data of the category operation data, includes:

[0028] Obtain information on electromechanical equipment that needs to be evaluated for operational efficiency; classify the electromechanical equipment information according to preset types of electromechanical equipment to obtain category equipment information;

[0029] For each type of electromechanical equipment in the equipment information category, operational data is collected to obtain equipment operation data;

[0030] Based on the operating data of the electromechanical equipment, the current equipment efficiency is obtained, and equipment efficiency data is acquired.

[0031] The equipment operation data is classified according to the preset operation data categories to obtain category operation data;

[0032] The runtime data for each category is reclassified to obtain sub-category runtime data;

[0033] The equipment's current performance is categorized according to preset operating data types to obtain category performance data;

[0034] The performance data for each category is reclassified to obtain sub-category performance data.

[0035] The working principle and technical effect of the above technical solution are as follows: information on electromechanical equipment that needs to be evaluated for operational efficiency is obtained; the information on electromechanical equipment is classified according to the preset types of electromechanical equipment to obtain category equipment information; the electromechanical equipment that needs to be evaluated for operational efficiency is the target evaluation equipment (which may include multiple types of equipment); the preset types of electromechanical equipment include rotating machinery (industrial motors and wind turbines, etc.), power transmission (industrial gearboxes and automotive transmissions, etc.), fluid machinery (centrifugal compressors and hydraulic pumps, etc.) and power equipment (transformers and frequency converters, etc.).

[0036] For each type of electromechanical equipment in the equipment information category, operational data is collected to obtain equipment operation data;

[0037] The current equipment efficiency is obtained based on the operating data of the electromechanical equipment, resulting in equipment efficiency data. The equipment operating data includes energy consumption data, production capacity data, status data, and environmental data. The equipment efficiency data comprises energy consumption health data, production capacity health data, status health data, and environmental health data. The health data is calculated as effective output energy divided by work divided by total input energy multiplied by 100%, and the equipment efficiency data is the sum of all subcategories of health data.

[0038] The equipment operation data is classified according to the preset operation data categories to obtain category operation data;

[0039] Each category of operational data is further classified to obtain sub-category operational data; the sub-category operational data includes energy consumption data such as electricity consumption, fuel consumption and efficiency ratio, production capacity data such as energy obtained and output efficiency, status data such as temperature anomaly data and noise anomaly data, and environmental data such as temperature and humidity data, load data and operating time.

[0040] By classifying the operational data of electromechanical equipment into categories and subcategories, we can achieve detailed operational analysis of the equipment, and obtain targeted data for each category and subcategory, thereby improving the relevance and efficiency of data processing.

[0041] The equipment's current performance is categorized according to preset operating data types to obtain category performance data;

[0042] Each category of performance data is further categorized to obtain sub-category performance data. The sub-category performance data includes: energy consumption data such as electricity consumption health data and fuel consumption health data; production capacity data such as acquired energy health data and output efficiency health data; status data such as temperature anomaly data and noise anomaly data; and environmental data such as temperature and humidity health data, load health data, and running time health data. The health data is calculated as: effective output energy of each sub-category performance data divided by work, then divided by the total input energy, multiplied by 100%.

[0043] By classifying the performance data of electromechanical equipment into categories and subcategories, we can achieve detailed performance analysis of electromechanical equipment, and obtain performance data for each category and subcategory in a targeted manner, thereby improving the relevance and efficiency of data processing.

[0044] In one embodiment of the present invention, the step of performing performance ratio analysis on sub-category performance data to obtain sub-category operational energy efficiency ratio, and performing performance ratio analysis on category performance data to obtain category operational efficiency ratio, includes:

[0045] For the same subcategory of the same preset running data type, match the subcategory running data and subcategory performance data to obtain the subcategory performance data corresponding to each subcategory running data;

[0046] Obtain the proportion of the sub-category performance data in the category performance data corresponding to each sub-category's running data, and obtain the sub-category running performance ratio;

[0047] Obtain the proportion of category performance data corresponding to the category of preset operating data in the equipment performance data, and obtain the category operating performance ratio.

[0048] The working principle and technical effect of the above technical solution are as follows: the sub-category operation data and sub-category performance data of the same sub-category with the same preset operation data type are matched to obtain the sub-category performance data corresponding to each sub-category operation data; through the correspondence between operation and performance, the performance data caused by operation data is obtained, which improves the accuracy and pertinence of performance acquisition.

[0049] The proportion of subcategory performance data corresponding to each subcategory's operating data in the category performance data corresponding to the subcategory is obtained to obtain the subcategory operating performance ratio. Specifically, the equipment performance data is understood as the sum of the subcategory performance data corresponding to all subcategory operating data of all preset operating data types. By obtaining the proportion of subcategory performance data in the category performance data corresponding to the subcategory, the degree of performance contribution of subcategory performance in category performance is realized, and the performance of each subcategory is evaluated.

[0050] The system obtains the proportion of category performance data (i.e., the sum of sub-category performance data of all sub-category operation data in the preset operation data category) in the equipment performance data, thus obtaining the category operation performance ratio. By obtaining the proportion of category performance data in the equipment performance data, the system realizes the performance contribution of category performance to equipment performance, and achieves the evaluation of the performance of each category.

[0051] The flag is invalid if the device operation data is 0 or the category performance data is 0.

[0052] In one embodiment of the present invention, the step of setting actual performance weight data based on equipment operating data and category operating data, thereby obtaining category target performance data, and then obtaining the performance gap ratio of preset operating data categories includes:

[0053] Calculate the actual performance weight data of the preset operation data type corresponding to the category performance data based on data such as category operation data and equipment operation data;

[0054] The formula for calculating the actual performance weight data is as follows:

[0055]

[0056] Where XQ represents actual performance weight data, LY represents category operation data, SY represents equipment operation data, and XX represents performance density correction coefficient;

[0057] The formula for calculating the efficiency density correction coefficient is as follows:

[0058]

[0059] Where LX represents category performance data, LY represents category operation data, SY represents equipment operation data, SX represents equipment performance data, and β represents the performance density correction factor, which is recommended to be 0.2~0.5 to balance the contribution of operation data and performance data, and to ensure that XQ does not completely offset the influence of operation data. The smaller the value, the greater the influence of operation data.

[0060] By using the efficiency density correction coefficient, the impact of the conversion analysis between operation and efficiency is minimized, avoiding underestimation of high-efficiency equipment, and enabling the acquisition of corresponding efficiency weights through operation, thereby improving the accuracy of weight calculation.

[0061] Dividing category performance data by category operation data yields category performance density; dividing equipment performance data by equipment operation data yields average performance density; and dividing category performance density by average performance density yields performance density correction factor.

[0062] Multiply the equipment performance data with the actual performance weight data to obtain the target performance data for the preset operating data type corresponding to the actual performance weight data;

[0063] Calculate the ratio of category performance data to category target performance data for each preset operational data type. Obtain the performance gap ratio for each preset operational data type.

[0064] Preliminary performance analysis of electromechanical equipment is conducted by comparing performance gaps to obtain performance status assessment information.

[0065] The working principle and technical effect of the above technical solution are as follows: For each category of performance data, the actual performance weight data of the preset operation data type corresponding to the category performance data is calculated based on the category operation data and equipment operation data, and the result is used as the actual performance weight data of the preset operation data type corresponding to the category performance data.

[0066] Calculate the ratio of the category performance data to the category target performance data for each preset operating data type to obtain the performance gap ratio for that preset operating data type. Use this performance gap ratio to conduct a preliminary performance analysis of the electromechanical equipment, and determine the equipment's performance status based on the magnitude of the ratio.

[0067] By setting actual performance weights, the contribution of different subcategories to overall performance can be reflected more accurately, thereby improving the accuracy of performance evaluation.

[0068] The actual performance weight data is set based on the sum of the performance ratios of the subcategories, ensuring that the performance contribution of each subcategory is quantified.

[0069] By calculating the target performance data for each category, it is possible to determine the performance level that the equipment should have when it reaches the ideal state. The acquisition of the target performance data also takes into account the weight of the performance of each category, thus achieving high performance targets for important categories.

[0070] By calculating the performance gap ratio, the difference between the current performance of the equipment and its ideal performance can be quantified.

[0071] In one embodiment of the present invention, the preliminary performance analysis of electromechanical equipment by performance gap comparison to obtain performance status determination information includes:

[0072] Obtain the sum of the performance gap ratios for all preset operating data types to get the device performance gap ratio;

[0073] Obtain a preset performance gap threshold, compare the equipment performance gap ratio with the preset performance gap threshold, and obtain the equipment performance comparison result;

[0074] Based on the equipment performance comparison results, the operating performance status of the electromechanical equipment is determined, and the performance status determination information of the electromechanical equipment is obtained.

[0075] When the equipment efficiency gap ratio is greater than the preset efficiency gap threshold, the electromechanical equipment is initially qualified in terms of efficiency.

[0076] When the equipment efficiency gap ratio is less than or equal to the preset efficiency gap threshold, the electromechanical equipment is initially deemed to be unqualified in terms of efficiency.

[0077] The working principle and technical effects of the above technical solution are as follows: For each type of preset operating data, the performance gap ratio is calculated. The performance gap ratios of all preset operating data types are summed to obtain the equipment performance gap ratio. The equipment performance gap ratio integrates the equipment's performance under different types of operating data, forming a comprehensive performance gap index.

[0078] The preset performance gap threshold is a pre-set standard used to measure whether the equipment performance has reached a qualified level.

[0079] The calculated equipment performance gap ratio is compared with the preset performance gap threshold. If the equipment performance gap ratio is greater than the preset performance gap threshold, it indicates that the equipment performs well in terms of overall performance; if the equipment performance gap ratio is less than or equal to the preset performance gap threshold, it indicates that the equipment has a large gap in overall performance.

[0080] The operational efficiency status of electromechanical equipment is determined based on the comparison between the equipment efficiency gap ratio and the preset efficiency gap threshold. If the equipment efficiency gap ratio is greater than the preset efficiency gap threshold, the equipment efficiency is initially deemed acceptable; if the equipment efficiency gap ratio is less than or equal to the preset efficiency gap threshold, the equipment efficiency is initially deemed unacceptable.

[0081] By calculating the equipment performance gap ratio, a comprehensive assessment of equipment performance under different types of operating data can be achieved, avoiding the one-sidedness of evaluation based on a single indicator. If the equipment performance initially fails to meet standards, in-depth analysis can be conducted to identify which types of operating data show the largest performance gaps, allowing for targeted analysis and judgment.

[0082] In one embodiment of the present invention, the step of performing single-machine operation efficiency analysis and linkage operation efficiency analysis on electromechanical equipment to obtain single-machine linkage efficiency determination information includes:

[0083] Obtain the category efficiency data, subcategory efficiency data, subcategory operation efficiency ratio, category operation efficiency ratio, and efficiency gap ratio of single-unit operation of electromechanical equipment to obtain a single-unit operation data set of electromechanical equipment;

[0084] Obtain category efficiency data, subcategory efficiency data, subcategory operation efficiency ratio, category operation efficiency ratio, and efficiency gap ratio for the coordinated operation of electromechanical equipment, and obtain the coordinated operation efficiency group of electromechanical equipment;

[0085] The single-unit efficiency of the electromechanical equipment is determined based on the efficiency gap ratio of the single-unit operation, and the single-unit efficiency determination information is obtained.

[0086] The linkage efficiency of electromechanical equipment is determined by comparing the efficiency gaps in the linkage operation of electromechanical equipment, and linkage efficiency determination information is obtained.

[0087] The efficiency of single-machine operation and linkage operation are analyzed and judged to obtain the single-machine linkage efficiency judgment information of the equipment;

[0088] The individual machine operation efficiency group and the coordinated operation efficiency group of electromechanical equipment are compared and analyzed by calculating the differences of various data to obtain efficiency anomaly location data for the individual machine operation efficiency group and the coordinated operation efficiency group. The various data include: category efficiency data, subcategory efficiency data, subcategory operation efficiency ratio, category operation efficiency ratio, and efficiency gap ratio.

[0089] The working principle and technical effects of the above technical solution are as follows: By using sensors and other methods, it acquires category performance data, sub-category performance data, sub-category performance ratio, category performance ratio, and performance gap ratio of electromechanical equipment in single-machine operation mode. It then acquires the above-mentioned performance data for electromechanical equipment in coordinated operation mode, forming coordinated operation performance groups. Coordinated operation refers to the collaborative work of multiple devices or systems.

[0090] The efficiency of individual electromechanical equipment is determined based on the efficiency gap ratio in the individual machine operation data set. If the efficiency gap ratio exceeds a preset threshold, the individual machine efficiency is deemed unqualified.

[0091] The efficiency of the coordinated operation of electromechanical equipment is determined based on the efficiency gap ratio in the coordinated operation efficiency group.

[0092] A comprehensive performance analysis is conducted on the single-machine operation performance group and the coordinated operation performance group, comparing the differences between the two in terms of category performance data, sub-category performance data, etc., and the impact of these differences on overall performance. Through this analysis, information on the performance determination of single-machine coordinated operation can be obtained, namely, the performance relationship and optimization potential between single-machine operation and coordinated operation.

[0093] The differences in various data points between the stand-alone operation performance group and the coordinated operation performance group are calculated, including the differences in category performance data, subcategory performance data, subcategory operation performance ratio, category operation performance ratio, and performance gap ratio. By comparing these differences, the specific operating module with abnormal performance can be located.

[0094] Performance anomaly location data improves the efficiency of identifying performance anomalies, reduces troubleshooting time, and increases maintenance efficiency.

[0095] By using the single-machine linkage efficiency assessment information, we can analyze the efficiency relationship between single-machine operation and linkage operation, realize separate efficiency evaluation, and further analyze the difference between single-machine efficiency and linkage efficiency.

[0096] By improving equipment efficiency and accurately locating performance anomalies, energy consumption, maintenance costs, and downtime can be reduced.

[0097] In one embodiment of the present invention, the step of performing performance analysis and judgment on the single-machine operation performance group and the linkage operation performance group to obtain equipment single-machine linkage performance judgment information includes:

[0098] When the single-machine performance assessment information and the linkage performance assessment information are the same and both are qualified performance assessments, the electromechanical equipment is assessed as qualified.

[0099] When the single-machine performance judgment information and the linkage performance judgment information are different or both are unqualified performance judgments, the single-machine linkage performance of the electromechanical equipment is judged as unqualified, and the single-machine linkage performance judgment information of the equipment is obtained.

[0100] When the single-unit efficiency of electromechanical equipment is judged as unqualified, the single-unit efficiency of the electromechanical equipment is judged as unqualified, and the information on unqualified equipment linkage efficiency is obtained.

[0101] When the linkage efficiency of electromechanical equipment is determined to be unqualified, the linkage efficiency of the electromechanical equipment is determined to be unqualified, and the linkage efficiency unqualified determination information is obtained.

[0102] When both the single-unit performance assessment and the linkage performance assessment of the electromechanical equipment are deemed unqualified, a comprehensive unqualified assessment information is generated for the electromechanical equipment.

[0103] The working principle and technical effect of the above technical solution: When both the single-machine performance judgment information and the linkage performance judgment information are displayed as qualified, the overall qualified performance of the electromechanical equipment is judged.

[0104] If the single-machine performance assessment information and the linkage performance assessment information are different, or if both are unqualified, the system will make an abnormal judgment on the single-machine linkage performance of the electromechanical equipment.

[0105] When the single-machine performance is deemed unqualified, regardless of the result of the linkage performance assessment, the single-machine performance of the electromechanical equipment will be deemed unqualified, and corresponding linkage performance unqualified assessment information will be generated.

[0106] When the linkage efficiency is deemed unqualified, the same judgment is made on the linkage efficiency of the electromechanical equipment, and the unqualified linkage efficiency judgment information is generated.

[0107] If both the single-machine performance assessment and the linkage performance assessment are unqualified, the system will perform a comprehensive equipment unqualified assessment of the electromechanical equipment and generate comprehensive equipment unqualified assessment information.

[0108] By comprehensively considering the results of individual machine and linkage performance assessments, the overall performance status of electromechanical equipment can be evaluated more accurately, avoiding misjudgments that may result from a single assessment mode.

[0109] The generation of non-compliance performance judgment information can promptly identify problems in electromechanical equipment in single-machine or linkage modes, thereby improving equipment efficiency and lifespan.

[0110] In one embodiment of the present invention, the difference calculation and comparative analysis of various data of the single-machine operation efficiency group and the linkage operation efficiency group of the electromechanical equipment are performed to obtain efficiency anomaly location data of the single-machine operation efficiency group and the linkage operation efficiency group, including:

[0111] The difference between the individual machine operation efficiency group and the linkage operation efficiency group of electromechanical equipment is calculated to obtain the individual machine linkage difference data of multiple data types.

[0112] The difference data of single-machine linkage is compared with the preset difference threshold to obtain the difference comparison result;

[0113] Based on the difference comparison results and the equipment single-machine linkage efficiency judgment information, efficiency anomaly judgment is performed on each data of the single-machine operation efficiency group and the linkage operation efficiency group to obtain efficiency anomaly location data of the single-machine operation efficiency group and the linkage operation efficiency group.

[0114] The working principle and technical effects of the above technical solution are as follows: Acquire data on the efficiency of individual and coordinated operation of electromechanical equipment. Calculate the difference between corresponding items in the two sets of data to form individual-machine coordinated operation difference data. Compare the difference data with a preset threshold. Determine if the difference is normal. Combine the difference comparison results with individual-machine coordinated operation efficiency judgment information. Identify abnormal data items in the individual-machine and coordinated operation efficiency groups. Quickly find data items with abnormal efficiency. Reduce troubleshooting time and improve maintenance efficiency. Analyze efficiency data to optimize equipment operation.

[0115] According to one embodiment of the present invention, the system includes:

[0116] The assessment and classification module is used to collect equipment operation data and equipment performance data of each electromechanical device for operational performance assessment, and to perform preliminary classification and reclassification to obtain sub-category operation data of category operation data and sub-category performance data of category performance data.

[0117] The percentage analysis module is used to perform efficiency percentage analysis on sub-category efficiency data to obtain the sub-category operating energy efficiency ratio, perform efficiency percentage analysis on category efficiency data to obtain the category operating efficiency ratio, set actual efficiency weight data based on equipment operating data and category operating data, and then obtain the category target efficiency data, and then obtain the efficiency gap ratio of preset operating data categories.

[0118] The preliminary performance evaluation module is used to obtain the equipment performance gap ratio, perform performance comparison analysis and judgment based on the equipment performance gap ratio, and obtain performance status judgment information of electromechanical equipment.

[0119] The single-machine linkage performance analysis module is used to perform single-machine operation performance analysis and linkage operation performance analysis on electromechanical equipment, thereby obtaining information on the single-machine linkage performance of the equipment.

[0120] The working principle and technical effects of the above technical solution are as follows: Equipment operation data and equipment performance data for each piece of electromechanical equipment undergoing performance evaluation are collected. Preliminary and subsequent classifications are performed to obtain sub-category operation data and sub-category performance data for each category of operation data. Through further refinement of the equipment data, in-depth performance analysis of the electromechanical equipment can be achieved, improving the accuracy and comprehensiveness of the performance analysis. This enables a comprehensive and targeted analysis of the performance of electromechanical equipment.

[0121] By performing efficiency ratio analysis on sub-category efficiency data, the operating efficiency ratio of sub-categories can be obtained. Similarly, by performing efficiency ratio analysis on category efficiency data, the operating efficiency ratio of categories can be obtained. Through efficiency ratio analysis, the efficiency contribution of each category and sub-category in the overall electromechanical equipment can be obtained. Furthermore, the efficiency analysis of the weights of categories and sub-categories can be obtained, simplifying the complexity of efficiency calculation, differentiating the complexity of efficiency analysis, and improving the task's achievability.

[0122] Based on equipment operation data and category operation data, actual performance weight data is set, and then category target performance data is obtained. Then, the performance gap ratio of preset operation data categories is obtained. The actual performance weight data set by category performance ratio is more in line with the performance characteristics of the category, so that the category with higher performance can be assigned more weight, thereby optimizing the performance of electromechanical equipment and improving the performance enhancement of electromechanical equipment.

[0123] The system obtains the equipment efficiency gap ratio, performs efficiency comparison analysis based on the equipment efficiency gap ratio, and obtains the efficiency status judgment information of electromechanical equipment. By obtaining the equipment efficiency gap ratio, the system can accurately quantify the efficiency of the equipment and efficiently obtain the operating efficiency of electromechanical equipment.

[0124] Individual and coordinated operation performance analyses are performed on electromechanical equipment to obtain information on the assessment of individual and coordinated operation performance. These analyses enable targeted analysis of different operating scenarios for electromechanical equipment, leading to accurate evaluation of both individual and coordinated operation performance.

[0125] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for evaluating the operational efficiency of electromechanical equipment, characterized in that, The method includes: Collect equipment operation data and equipment performance data for each electromechanical device for performance evaluation, perform preliminary classification and reclassification to obtain sub-category operation data and sub-category performance data of category operation data; Perform efficiency ratio analysis on sub-category efficiency data to obtain sub-category operating energy efficiency ratio; perform efficiency ratio analysis on category efficiency data to obtain category operating efficiency ratio; obtain efficiency density correction coefficient based on category operating efficiency ratio; obtain actual efficiency weight data based on efficiency density correction coefficient, category operating data, and equipment operating data; obtain category target efficiency data based on equipment efficiency data and actual efficiency weight data; and obtain the efficiency gap ratio of preset operating data categories based on category efficiency data and category target efficiency data. The process of obtaining an efficiency density correction coefficient based on the category-based operational efficiency ratio, obtaining actual efficiency weight data based on the efficiency density correction coefficient, category-based operational data, and equipment operational data, obtaining category-specific target efficiency data based on equipment efficiency data and actual efficiency weight data, and obtaining the efficiency gap ratio of preset operational data categories based on category efficiency data and category-specific target efficiency data includes: Calculate the actual performance weight data for the corresponding preset operating data categories based on category operating data and equipment operating data; Multiply the equipment performance data with the actual performance weight data to obtain the target performance data for the preset operating data type corresponding to the actual performance weight data; Calculate the ratio of category performance data to category target performance data corresponding to the preset running data types to obtain the performance gap ratio of the preset running data types; Preliminary performance analysis of electromechanical equipment is conducted by comparing performance gaps to obtain performance status assessment information. The step of conducting preliminary performance analysis of electromechanical equipment through performance gap comparison to obtain performance status determination information includes: Obtain the sum of the performance gap ratios for all preset operating data types to get the device performance gap ratio; Obtain the equipment efficiency gap ratio, conduct efficiency comparison analysis and judgment based on the equipment efficiency gap ratio, and obtain efficiency status judgment information of electromechanical equipment; The step of obtaining the equipment efficiency gap ratio, performing efficiency comparison analysis based on the equipment efficiency gap ratio, and obtaining efficiency status determination information of electromechanical equipment includes: Obtain a preset performance gap threshold, compare the equipment performance gap ratio with the preset performance gap threshold, and obtain the equipment performance comparison result; Based on the equipment performance comparison results, the operating performance status of the electromechanical equipment is determined, and the performance status determination information of the electromechanical equipment is obtained. Obtain the equipment efficiency gap ratio under single-machine operation mode, perform single-machine operation efficiency analysis, and obtain single-machine efficiency judgment information. Obtain the equipment efficiency gap ratio under linkage operation mode, perform linkage operation efficiency analysis, and obtain linkage efficiency judgment information. Based on the single-machine efficiency judgment information and the linkage efficiency judgment information, obtain the equipment single-machine linkage efficiency judgment information.

2. The method for evaluating the operational efficiency of electromechanical equipment according to claim 1, characterized in that, The equipment operation data and equipment performance data of each electromechanical device collected for operational performance evaluation are initially classified and then reclassified to obtain sub-category operation data and sub-category performance data of category operation data, including: Obtain information on electromechanical equipment that needs to be evaluated for operational efficiency; classify the electromechanical equipment information according to preset types of electromechanical equipment to obtain category equipment information; For each type of electromechanical equipment in the equipment information category, operational data is collected to obtain equipment operation data; Based on the operating data of the electromechanical equipment, the current equipment efficiency is obtained, and equipment efficiency data is acquired. The equipment operation data is classified according to the preset operation data categories to obtain category operation data; The runtime data for each category is reclassified to obtain sub-category runtime data; The equipment's current performance is categorized according to preset operating data types to obtain category performance data; The performance data for each category is reclassified to obtain sub-category performance data.

3. The method for evaluating the operational efficiency of electromechanical equipment according to claim 1, characterized in that, The process of performing performance ratio analysis on sub-category performance data to obtain sub-category operational energy efficiency ratio, and performing performance ratio analysis on category performance data to obtain category operational efficiency ratio, includes: For the same subcategory of the same preset running data type, match the subcategory running data and subcategory performance data to obtain the subcategory performance data corresponding to each subcategory running data; Obtain the proportion of the sub-category performance data in the category performance data corresponding to each sub-category's running data, and obtain the sub-category running performance ratio; Obtain the proportion of category performance data corresponding to the category of preset operating data in the equipment performance data, and obtain the category operating performance ratio.

4. The method for evaluating the operational efficiency of electromechanical equipment according to claim 1, characterized in that, The step of determining the operational performance status of electromechanical equipment based on the equipment performance comparison results, and obtaining performance status determination information of the electromechanical equipment, includes: When the equipment efficiency gap ratio is greater than the preset efficiency gap threshold, the electromechanical equipment is initially qualified in terms of efficiency. When the equipment efficiency gap ratio is less than or equal to the preset efficiency gap threshold, the electromechanical equipment is initially deemed to be unqualified in terms of efficiency.

5. The method for evaluating the operational efficiency of electromechanical equipment according to claim 1, characterized in that, The process of obtaining the equipment performance gap ratio under single-machine operation mode, performing single-machine operation performance analysis, and obtaining single-machine performance judgment information; obtaining the equipment performance gap ratio under linkage operation mode, performing linkage operation performance analysis, and obtaining linkage performance judgment information; and obtaining equipment single-machine linkage performance judgment information based on the single-machine performance judgment information and the linkage performance judgment information, including: Obtain the category efficiency data, subcategory efficiency data, subcategory operation efficiency ratio, category operation efficiency ratio, and efficiency gap ratio of single-unit operation of electromechanical equipment to obtain a single-unit operation data set of electromechanical equipment; Obtain category efficiency data, subcategory efficiency data, subcategory operation efficiency ratio, category operation efficiency ratio, and efficiency gap ratio for the coordinated operation of electromechanical equipment, and obtain the coordinated operation efficiency group of electromechanical equipment; The single-unit efficiency of the electromechanical equipment is determined based on the efficiency gap ratio of the single-unit operation, and the single-unit efficiency determination information is obtained. The linkage efficiency of electromechanical equipment is determined by comparing the efficiency gaps in the linkage operation of electromechanical equipment, and linkage efficiency determination information is obtained. The efficiency of single-machine operation and linkage operation are analyzed and judged to obtain the single-machine linkage efficiency judgment information of the equipment; The difference between the individual operating efficiency group and the linkage operating efficiency group of electromechanical equipment is calculated and compared to obtain the efficiency anomaly location data of the individual operating efficiency group and the linkage operating efficiency group.

6. The method for evaluating the operational efficiency of electromechanical equipment according to claim 5, characterized in that, The process of obtaining the equipment performance gap ratio under single-machine operation mode, performing single-machine operation performance analysis, and obtaining single-machine performance judgment information; obtaining the equipment performance gap ratio under linkage operation mode, performing linkage operation performance analysis, and obtaining linkage performance judgment information; and obtaining equipment single-machine linkage performance judgment information based on the single-machine performance judgment information and the linkage performance judgment information, including: When the single-machine performance assessment information and the linkage performance assessment information are the same and both are qualified performance assessments, the electromechanical equipment is assessed as qualified. When the single-machine performance judgment information and the linkage performance judgment information are different or both are unqualified performance judgments, the single-machine linkage performance of the electromechanical equipment is judged as unqualified, and the single-machine linkage performance judgment information of the equipment is obtained. When the single-unit efficiency of electromechanical equipment is judged as unqualified, the single-unit efficiency of the electromechanical equipment is judged as unqualified, and the information on unqualified equipment linkage efficiency is obtained. When the linkage efficiency of electromechanical equipment is determined to be unqualified, the linkage efficiency of the electromechanical equipment is determined to be unqualified, and the linkage efficiency unqualified determination information is obtained. When both the single-unit performance assessment and the linkage performance assessment of the electromechanical equipment are deemed unqualified, a comprehensive unqualified assessment information is generated for the electromechanical equipment.

7. The method for evaluating the operational efficiency of electromechanical equipment according to claim 5, characterized in that, The differences in various data points between the single-unit operating efficiency group and the coordinated operating efficiency group of the electromechanical equipment are calculated and compared to obtain efficiency anomaly location data for both groups, including: The difference between the individual machine operation efficiency group and the linkage operation efficiency group of electromechanical equipment is calculated to obtain the individual machine linkage difference data of multiple data types. The difference data of single-machine linkage is compared with the preset difference threshold to obtain the difference comparison result; Based on the difference comparison results and the equipment single-machine linkage efficiency judgment information, efficiency anomaly judgment is performed on each data of the single-machine operation efficiency group and the linkage operation efficiency group to obtain efficiency anomaly location data of the single-machine operation efficiency group and the linkage operation efficiency group.

8. A system for evaluating the operational efficiency of electromechanical equipment, characterized in that, The system includes: The assessment and classification module is used to collect equipment operation data and equipment performance data of each electromechanical device for operational performance assessment, and to perform preliminary classification and reclassification to obtain sub-category operation data of category operation data and sub-category performance data of category performance data. The proportion analysis module is used to perform efficiency proportion analysis on sub-category efficiency data to obtain the sub-category operating energy efficiency ratio, perform efficiency proportion analysis on category efficiency data to obtain the category operating efficiency ratio, obtain the efficiency density correction coefficient based on the category operating efficiency ratio, obtain the actual efficiency weight data based on the efficiency density correction coefficient, category operating data and equipment operating data, obtain the category target efficiency data based on the equipment efficiency data and the actual efficiency weight data, and obtain the efficiency gap ratio of the preset operating data categories based on the category efficiency data and the category target efficiency data. The proportion analysis module includes: Calculate the actual performance weight data for the corresponding preset operating data categories based on category operating data and equipment operating data; Multiply the equipment performance data with the actual performance weight data to obtain the target performance data for the preset operating data type corresponding to the actual performance weight data; Calculate the ratio of category performance data to category target performance data corresponding to the preset running data types to obtain the performance gap ratio of the preset running data types; Preliminary performance analysis of electromechanical equipment is conducted by comparing performance gaps to obtain performance status assessment information. The step of conducting preliminary performance analysis of electromechanical equipment through performance gap comparison to obtain performance status determination information includes: Obtain the sum of the performance gap ratios for all preset operating data types to get the device performance gap ratio; Obtain the equipment efficiency gap ratio, conduct efficiency comparison analysis and judgment based on the equipment efficiency gap ratio, and obtain efficiency status judgment information of electromechanical equipment; The preliminary performance evaluation module is used to obtain the equipment performance gap ratio, perform performance comparison analysis and judgment based on the equipment performance gap ratio, and obtain performance status judgment information of electromechanical equipment. The preliminary performance evaluation module includes: Obtain a preset performance gap threshold, compare the equipment performance gap ratio with the preset performance gap threshold, and obtain the equipment performance comparison result; Based on the equipment performance comparison results, the operating performance status of the electromechanical equipment is determined, and the performance status determination information of the electromechanical equipment is obtained. The single-machine linkage performance analysis module is used to obtain the equipment performance gap ratio under single-machine operation mode, perform single-machine operation performance analysis, obtain single-machine performance judgment information, obtain the equipment performance gap ratio under linkage operation mode, perform linkage operation performance analysis, obtain linkage performance judgment information, and obtain equipment single-machine linkage performance judgment information based on the single-machine performance judgment information combined with the linkage performance judgment information.

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