Equipment management construction effect evaluation and optimization method and system

Abstract

The embodiment of the invention provides an equipment management construction effect evaluation and optimization method and system, and the method comprises the steps: collecting equipment management system data, and carrying out the preprocessing of the collected data; an equipment management construction effect evaluation index system is constructed through a basic information management module, a key action evaluation module and a comprehensive statistical analysis module; and according to the collected equipment management system data, based on the equipment management construction effect evaluation index system, evaluating the equipment management construction effect in combination with the actual demand of each unit. According to the method, the equipment use efficiency and reliability can be improved, the operation cost is reduced, and efficient and scientific equipment management is realized.

Description

Technical Field

[0001] This document relates to the field of equipment management technology, and in particular to a method and system for evaluating and optimizing equipment management construction effectiveness. Background Art

[0002] Modern equipment management mainly refers to the comprehensive management of the entire life cycle of equipment. The life cycle of equipment mainly involves the following three forms: material form, value form, and property right form. The material form mainly refers to the planning, design, manufacturing, installation, commissioning, operation and maintenance, updating and scrapping of equipment, while its value form mainly refers to the initial investment stage, maintenance expenses and depreciation during use, and renovation and updating expenses. The property right form mainly refers to the transfer and flow of equipment, secondary or multiple transactions, updates and maintenance. With the development of computer technology and the application of big data, in order to improve the efficiency of production operations and reduce costs, various companies use real-time monitoring of equipment data to optimize maintenance plans and asset management for equipment, comprehensively evaluate the efficiency and effectiveness of equipment management, and optimize equipment management processes. By managing equipment in all forms, the good condition and production quality of the equipment can be guaranteed, thereby helping companies to obtain maximum benefits.

[0003] Existing equipment management methods usually only focus on equipment fault diagnosis and predictive maintenance, aiming to ensure the normal operation of the company. However, in actual company operations, while ensuring the efficiency of equipment use, taking into account performance in aspects such as safe production, maintenance costs will inevitably increase. Therefore, it is necessary to achieve balanced optimization while considering multiple factors, improve the company's equipment management quality, reduce equipment operation risks, promote the company's sustainable development and optimize management measures, so that the company can obtain the greatest overall benefits. Summary of the invention

[0004] One or more embodiments of this specification provide a method for evaluating and optimizing equipment management construction effectiveness, including:

[0005] Collect equipment management system data and pre-process the collected data;

[0006] Construct an equipment management construction effectiveness evaluation index system through basic information management module, key action evaluation module and comprehensive statistical analysis module;

[0007] According to the collected equipment management system data, based on the equipment management construction effectiveness evaluation index system, and combined with the actual needs of each unit, the equipment management construction effectiveness is evaluated.

[0008] Furthermore, preprocessing the collected data specifically includes:

[0009] Detect and remove duplicate records in data;

[0010] Process missing values ​​and outliers; missing values ​​are interpolated by the mean value, and outliers are removed after being detected by z-score;

[0011] Standardize data types to ensure that data fields adhere to predefined types.

[0012] Furthermore, the basic information management module is specifically used for:

[0013] Perform entity recognition and relationship extraction on the preprocessed data, merge the results of entity recognition with the relationships extracted, and construct an entity relationship graph.

[0014] The preprocessed data and constructed entity relationship diagram are stored.

[0015] Furthermore, the key action assessment module is specifically used to:

[0016] Monitor the progress of key tasks including safety improvement, equipment quality improvement, asset value improvement, management quality and efficiency improvement, business model transformation, and digital transformation. Analyze the progress of the six actions by subsidiaries based on the progress of each key action to understand the progress;

[0017] Visualize the progress and results of key tasks of each subsidiary and the head office in terms of security improvement, equipment quality improvement, asset value improvement, management quality and efficiency improvement, business model transformation, and digital transformation;

[0018] Compare and analyze the construction results of each subsidiary, obtain the construction progress of each subsidiary's actions and the construction gap between subsidiaries, focus on monitoring subsidiaries with slower construction progress, and issue abnormal alarms for subsidiaries that have not achieved planned goals.

[0019] Furthermore, the comprehensive statistical analysis module is specifically used for:

[0020] Based on the entity relationship diagram of the basic information management module, the logical relationship between the data is obtained, and according to the requirements of the company's modern equipment management system construction plan, the performance of basic work, special actions, and characteristic innovation is evaluated on a 10-point scale;

[0021] The evaluation results are based on the scoring of the company's basic work, special actions, and characteristic innovations.

[0022] Furthermore, the specific method for obtaining the evaluation results based on the scoring evaluation of the company's basic work, special actions, and characteristic innovations is as follows:

[0023] Construct a judgment matrix, make pairwise judgments on the indicators of the criterion layer, and use the scaling method of santy1-9 to construct a 3*3 judgment matrix;

[0024] Use the spsspro tool to set up a judgment matrix based on the evaluation requirements of different customers and obtain the weight value of each indicator;

[0025] According to the weight value, it is multiplied by the scores of the three aspects of basic work, special actions and characteristic innovation and added up to obtain the evaluation results of the effectiveness of the equipment management system construction of each subsidiary.

[0026] Furthermore, the method further comprises:

[0027] Based on the evaluation results of the equipment management system construction effectiveness of each subsidiary, the NLP model is used to generate an overall construction effectiveness report, a construction effectiveness report for each action, and a construction effectiveness report for each subsidiary.

[0028] One or more embodiments of this specification provide a system for evaluating and optimizing equipment management construction effectiveness, including:

[0029] Data acquisition module: used to collect equipment management system data and pre-process the collected data;

[0030] Evaluation system construction module: used to construct an equipment management construction effectiveness evaluation index system through the basic information management module, key action evaluation module and comprehensive statistical analysis module;

[0031] Effectiveness evaluation module: used to evaluate the effectiveness of equipment management construction based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system, and the actual needs of each unit.

[0032] One or more embodiments of the present specification provide an electronic device, including:

[0033] processor; and,

[0034] A memory arranged to store computer executable instructions, which, when executed, enable the processor to implement the steps of the above-mentioned equipment management construction effectiveness evaluation and optimization method.

[0035] One or more embodiments of the present specification provide a storage medium for storing computer-executable instructions, which, when executed, implement the steps of the above-mentioned equipment management construction effectiveness evaluation and optimization method.

[0036] By adopting the embodiments of the present invention, it is possible to comprehensively and objectively evaluate the construction status and phased results of a company's modern equipment management system, formulate a phased evaluation index system for the construction of a company's modern equipment management system, conduct a full-process evaluation of the node tasks and target requirements of the equipment management system construction, analyze the construction results of each company's modern equipment management system, achieve vertical and horizontal comparability, timely summarize experience and improvement opportunities, give full play to the guiding and supervisory role of the evaluation, and promote the continuous improvement of the company's overall equipment management level, which not only improves the efficiency and reliability of equipment use, but also reduces operating costs, and realizes efficient and scientific equipment management.

[0037] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0039] Figure 1 A flowchart of a method for evaluating and optimizing the effectiveness of equipment management construction provided in one or more embodiments of this specification;

[0040] Figure 2 A schematic diagram of the composition of a system for evaluating and optimizing the effectiveness of equipment management construction provided in one or more embodiments of this specification;

[0041] Figure 3 A schematic diagram of the structure of an electronic device provided for one or more embodiments of this specification. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0043] Method Embodiment

[0044] According to an embodiment of the present invention, a method for evaluating and optimizing equipment management construction effectiveness is provided. Figure 1 A flowchart of a method for evaluating and optimizing equipment management construction effectiveness provided by one or more embodiments of this specification, such as Figure 1 As shown, the equipment management construction effectiveness evaluation and optimization method according to an embodiment of the present invention specifically includes:

[0045] S1. Collect equipment management system data and pre-process the collected data.

[0046] Based on the new generation of equipment asset lean management system PMS 3.0 and the company's reported information and the professional knowledge provided by experts in related fields, the equipment management system data collection is realized and the collected data is pre-processed, including:

[0047] Detect and delete duplicate records in the data. After collecting the equipment management system data, the first thing to do is to check whether there are duplicate records in the data. For example, the same data may be recorded multiple times due to some failures in the collection process or repeated collection. These duplicate records will interfere with subsequent data analysis and processing, so specific algorithms or tools are needed to accurately detect them, and then delete these duplicate parts from the data set, making the data more streamlined and accurate, retaining only the unique record of each data, laying a good foundation for subsequent processing.

[0048] Processing of missing values ​​and outliers. Sometimes, some data fields in the data set have no values, that is, missing values. This may be caused by omissions in the collection process, equipment failures, etc. In this embodiment, data interpolation is performed by the average value. Specifically, the average value of the data field in the existing complete data records is first calculated, and then the average value is filled into the positions where missing values ​​exist. The purpose of this is to make the data as complete as possible and reduce the analysis deviation or error that may be caused by missing values; Outlier processing: Outliers refer to data values ​​that are obviously deviated from other data points. They may be caused by collection errors, sudden abnormalities of equipment, etc. For outliers, the z-score method is used here for detection. The z-score is an indicator based on statistical principles to measure the degree of deviation of data points from the mean. By calculating the z-score value of each data point and comparing it with a pre-set threshold, if the z-score value of a data point exceeds the threshold range, it is determined to be an outlier. Once an outlier is detected, it will be removed from the data set to ensure the rationality and reliability of the data and avoid the adverse effects of outliers on subsequent analysis and evaluation.

[0049] Standardize data types to ensure that data fields comply with predefined types. The collected data may come from different devices, systems or collection channels, and their data types may be different. For example, some are integers, some are floating-point types, or there are differences in format. In order to ensure that the data can be smoothly calculated, analyzed and stored in the subsequent processing, it is necessary to standardize the data type, that is, to make all data fields comply with a predefined type, such as a unified integer or floating-point type in a specific format, etc. This can avoid errors in the processing process due to inconsistent data types and improve the efficiency and accuracy of data processing.

[0050] S2. Construct an equipment management construction effectiveness evaluation index system through basic information management module, key action evaluation module and comprehensive statistical analysis module.

[0051] The basic information management module is specifically used for:

[0052] Entity recognition and relationship extraction are performed on the preprocessed data. The transformer model library provided by the Hugging Face Transformers tool is used for entity recognition. It contains the BERT model and its variants, and has excellent entity recognition performance. It can accurately find entity objects with specific meanings from the preprocessed massive data. For example, in the equipment management system data, entities may include specific equipment names, equipment departments, management personnel names, etc. By using specific algorithms and technical means, these entities representing different things can be accurately distinguished from the data text and their respective existence can be determined; then the AllenNLP research library is used for knowledge extraction to mine the inherent connections between these identified entities. For example, there is a "maintenance" relationship between a certain device and the person responsible for maintaining it, or there is a "belonging" relationship between a certain department and a group of equipment it manages, etc. By analyzing the semantic information and grammatical structure in the data, the logical associations between these entities are extracted, and the results of entity recognition are merged with the relationships extracted. These entities are used as nodes in the graph, and the relationships between them are used as edges connecting the nodes, so as to build a complete entity relationship graph.

[0053] The preprocessed data and constructed entity relationship diagram are stored.

[0054] Using Neo4j database products for data storage and processing can quickly traverse the relationship network to achieve user management, equipment statistics and construction focus analysis. Among them, user management can maintain the basic information of users of provincial companies (subsidiaries), including the rapid addition, modification, deletion of users in the database and the query function of other users. Equipment statistics can count the overall situation of equipment in each provincial company, and have the functions of adding, deleting, modifying, querying and statistics of equipment scale, equipment scale of local municipal companies, and key equipment conditions, so as to quickly grasp the equipment and key equipment assets of each provincial company. Construction focus analysis maintains the key construction tasks and construction status information of the equipment management system of each provincial company, including the functions of adding, deleting, maintaining, querying, etc., to understand the overall situation of the equipment management system construction of different provincial companies, and provide basic data for the subsequent two modules to analyze the progress of key matters and existing difficulties.

[0055] The key action assessment module is specifically used to:

[0056] Monitor the progress of key tasks of the "six actions" including safety improvement, equipment quality improvement, asset value improvement, management quality and efficiency improvement, business model transformation, and digital transformation. Analyze the progress of the six actions by subsidiaries through the progress of each key action to understand the progress;

[0057] Use matplotlib tools and visualization methods to visualize the progress and results of key tasks of safety improvement, equipment quality improvement, asset value improvement, management quality and efficiency improvement, business model transformation, and digital transformation of each subsidiary and the head office, such as using a variety of visualization charts such as bar charts, line charts, and dashboards;

[0058] Compare and analyze the construction results of each subsidiary, obtain the construction progress of each subsidiary's actions and the construction gaps between subsidiaries. Based on the results of the above comparative analysis, for those subsidiaries that are obviously lagging behind in construction progress, this module will list them as key monitoring targets, and continue to pay attention to the subsequent work progress of these subsidiaries, so as to promptly discover possible problems and urge them to speed up the progress. When it is found that a subsidiary has not achieved the planned goals, the key action assessment module will immediately issue an abnormal alarm.

[0059] The comprehensive statistical analysis module is specifically used for:

[0060] Based on the entity relationship diagram of the basic information management module, the reasoning mechanism of the graph is used to obtain the logical relationship between the data. After obtaining the logical relationship between the data, the comprehensive statistical analysis module will evaluate the company's performance on a 10-point scale from three important aspects, namely basic work, special actions, and characteristic innovations, based on the requirements of the company's modern equipment management system construction plan; based on the scoring evaluation of the company's basic work, special actions, and characteristic innovations, the scores of the three aspects of basic work, special actions, and characteristic innovations are comprehensively considered to obtain the final evaluation result, which comprehensively reflects the company's overall effectiveness in equipment management system construction.

[0061] The specific method for obtaining the evaluation results is based on the scoring evaluation of the company's basic work, special actions, and characteristic innovations:

[0062] Construct a judgment matrix, judge the indicators of the criterion layer in pairs, and use the santy1-9 scaling method to build a 3*3 judgment matrix. The criterion layer indicators here refer to the three aspects of basic work, special actions, and characteristic innovation involved in the evaluation of the effectiveness of the company's equipment management system construction. To construct a judgment matrix, it is necessary to judge these three criterion layer indicators in pairs. That is to say, the relative importance of basic work and special actions, basic work and characteristic innovation, special actions and characteristic innovation are compared respectively. When conducting such pairwise comparisons, the santy1-9 scaling method is used. This scaling method stipulates the numerical values ​​corresponding to different degrees of relative importance. For example: 1 means that two indicators are equally important; 3 means that one indicator is slightly more important than the other; 5 means that one indicator is obviously more important than the other; 7 means that one indicator is strongly more important than the other; 9 means that one indicator is extremely important than the other; and 2, 4, 6, and 8 are transitional values ​​between two adjacent odd-numbered scales. Through such pairwise comparisons and scale assignments, a 3×3 judgment matrix can be constructed. Each element in this matrix represents the quantitative value of the relative importance between two criterion-level indicators.

[0063] Use the SPSSPRO tool to set up a judgment matrix based on the evaluation requirements of different customers. After the judgment matrix is ​​set up in the SPSSPRO tool as required, the tool will perform a series of mathematical operations on the judgment matrix based on its internal algorithm mechanism to derive the weight values ​​of the three indicators: basic work, special actions, and characteristic innovation.

[0064] After obtaining the scores of basic work, special actions and characteristic innovations and their respective weights, the weights are multiplied and added together to obtain an evaluation result of the effectiveness of the equipment management system construction of each subsidiary.

[0065] S3. Based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system is used to evaluate the equipment management construction effectiveness in combination with the actual needs of each unit.

[0066] Based on the evaluation results of the equipment management system construction effectiveness of each subsidiary, the NLP model is used to generate an overall construction effectiveness report, a construction effectiveness report for each action, and a construction effectiveness report for each subsidiary.

[0067] The beneficial effects of the present invention are as follows:

[0068] By adopting the embodiments of the present invention, it is possible to comprehensively and objectively evaluate the construction status and phased results of a company's modern equipment management system, formulate a phased evaluation index system for the construction of a company's modern equipment management system, conduct a full-process evaluation of the node tasks and target requirements of the equipment management system construction, analyze the construction results of each company's modern equipment management system, achieve vertical and horizontal comparability, timely summarize experience and improvement opportunities, give full play to the guiding and supervisory role of the evaluation, and promote the continuous improvement of the company's overall equipment management level, which not only improves the efficiency and reliability of equipment use, but also reduces operating costs, and realizes efficient and scientific equipment management.

[0069] System Example

[0070] According to an embodiment of the present invention, a system for evaluating and optimizing equipment management construction effectiveness is provided. Figure 2 A schematic diagram of the composition of a system for evaluating and optimizing equipment management construction effectiveness provided in one or more embodiments of this specification is shown in FIG. Figure 2 As shown, the equipment management construction effectiveness evaluation and optimization system according to the embodiment of the present invention specifically includes:

[0071] Data collection module 20: used to collect equipment management system data and pre-process the collected data;

[0072] Evaluation system construction module 22: used to construct an equipment management construction effectiveness evaluation index system through a basic information management module, a key action evaluation module and a comprehensive statistical analysis module;

[0073] Effectiveness evaluation module 24: used to evaluate the effectiveness of equipment management construction based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system, and the actual needs of each unit.

[0074] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0075] Device Example 1

[0076] An embodiment of the present invention provides an electronic device, such as Figure 3As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the following method steps are implemented:

[0077] S1. Collect equipment management system data and pre-process the collected data;

[0078] S2. Construct an equipment management construction effectiveness evaluation index system through basic information management module, key action evaluation module and comprehensive statistical analysis module;

[0079] S3. Based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system is used to evaluate the equipment management construction effectiveness in combination with the actual needs of each unit.

[0080] Device Example 2

[0081] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 32, the following method steps are implemented:

[0082] S1. Collect equipment management system data and pre-process the collected data;

[0083] S2. Construct an equipment management construction effectiveness evaluation index system through basic information management module, key action evaluation module and comprehensive statistical analysis module;

[0084] S3. Based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system is used to evaluate the equipment management construction effectiveness in combination with the actual needs of each unit.

[0085] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0086] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating and optimizing the effectiveness of equipment management construction, characterized in that: include: Collect equipment management system data and pre-process the collected data; Construct an equipment management construction effectiveness evaluation index system through basic information management module, key action evaluation module and comprehensive statistical analysis module; According to the collected equipment management system data, based on the equipment management construction effectiveness evaluation index system, and combined with the actual needs of each unit, the equipment management construction effectiveness is evaluated.

2. The method according to claim 1, characterized in that The preprocessing of the collected data specifically includes: Detect and remove duplicate records in data; Process missing values ​​and outliers; missing values ​​are interpolated by the mean value, and outliers are removed after being detected by z-score; Standardize data types to ensure that data fields adhere to predefined types.

3. The method according to claim 2, characterized in that The basic information management module is specifically used for: Perform entity recognition and relationship extraction on the preprocessed data, merge the results of entity recognition with the relationships extracted, and construct an entity relationship graph. The preprocessed data and constructed entity relationship diagram are stored.

4. The method according to claim 1, characterized in that: The key action assessment module is specifically used to: Monitor the progress of key tasks including safety improvement, equipment quality improvement, asset value improvement, management quality and efficiency improvement, business model transformation, and digital transformation. Analyze the progress of the six actions by subsidiaries based on the progress of each key action to understand the progress; Visualize the progress and results of key tasks of improving safety, equipment quality, asset value, management quality and efficiency, business model transformation, and digital transformation for each subsidiary and the head office; Compare and analyze the construction results of each subsidiary, obtain the construction progress of each subsidiary's actions and the construction gap between subsidiaries, focus on monitoring subsidiaries with slower construction progress, and issue abnormal alarms for subsidiaries that have not achieved planned goals.

5. The method according to claim 1, characterized in that The comprehensive statistical analysis module is specifically used for: Based on the entity relationship diagram of the basic information management module, the logical relationship between the data is obtained, and according to the requirements of the company's modern equipment management system construction plan, the performance of basic work, special actions, and characteristic innovation is evaluated on a 10-point scale; The evaluation results are based on the scoring of the company's basic work, special actions, and characteristic innovations.

6. The method according to claim 5, characterized in that The specific method for obtaining the evaluation results based on the scoring evaluation of the company's basic work, special actions, and characteristic innovations is as follows: Construct a judgment matrix, make pairwise judgments on the indicators of the criterion layer, and use the scaling method of santy1-9 to construct a 3*3 judgment matrix; Use the spsspro tool to set up a judgment matrix based on the evaluation requirements of different customers and obtain the weight value of each indicator; According to the weight value, it is multiplied by the scores of the three aspects of basic work, special actions and characteristic innovation and added up to obtain the evaluation results of the effectiveness of the equipment management system construction of each subsidiary.

7. The method according to claim 6, characterized in that The method further comprises: Based on the evaluation results of the equipment management system construction effectiveness of each subsidiary, the NLP model is used to generate an overall construction effectiveness report, a construction effectiveness report for each action, and a construction effectiveness report for each subsidiary.

8. A system for evaluating and optimizing the effectiveness of equipment management construction, characterized in that: include: Data acquisition module: used to collect equipment management system data and pre-process the collected data; Evaluation system construction module: used to construct an equipment management construction effectiveness evaluation index system through the basic information management module, key action evaluation module and comprehensive statistical analysis module; Effectiveness evaluation module: used to evaluate the effectiveness of equipment management construction based on the collected equipment management system data, the equipment management construction effectiveness evaluation index system, and the actual needs of each unit.

9. An electronic device, characterized in that: include: processor; as well as, A memory arranged to store computer executable instructions, which, when executed, enable the processor to implement the steps of the equipment management construction effectiveness evaluation and optimization method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: Used to store computer executable instructions, which, when executed, implement the steps of the equipment management construction effectiveness evaluation and optimization method as described in any one of claims 1 to 7.

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