Equipment informatization management and control method for electromechanical engineering

Abstract

The invention discloses an equipment informatization management and control method for electromechanical engineering, which relates to the technical field of electromechanical engineering and is realized by adopting a data collection module, a data processing module, a comprehensive evaluation and dynamic adjustment module, an adjustment real-time monitoring module, an observation data management module and equipment management and control adjustment. The operation state of the electromechanical engineering equipment and observation data influencing the output of the equipment during the operation of the electromechanical engineering equipment are collected in real time, the collected observation data are preprocessed through the data processing module, the actual output quantity and the downtime of the electromechanical engineering equipment are calculated, and the actual output quantity and the downtime of the electromechanical engineering equipment are calculated through the comprehensive evaluation and dynamic adjustment module. Based on the equipment efficiency evaluation, the cost benefit and the dynamic adjustment factor calculated by the comprehensive evaluation and dynamic adjustment module, the control adjustment of the electromechanical engineering equipment is realized, and the dynamic adjustment factor is utilized to dynamically adjust and formulate the adjustment strategy of the electromechanical engineering equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electromechanical engineering, and in particular to an information management and control method for electromechanical engineering equipment. Background Art

[0002] In the field of electromechanical engineering, traditional equipment management methods often rely on manual inspections, paper records, and empirical judgments, which have problems such as low efficiency, inaccurate information, and delayed decision-making. With the development of information technology, more and more companies are beginning to explore the application of information technology in equipment management and control to improve management efficiency, reduce operating costs, and enhance equipment performance. However, most of the existing information management and control methods focus on data collection and display, lack in-depth data analysis and decision support functions, and are difficult to meet the diversified needs of administration, commerce, finance, management, supervision, or forecasting.

[0003] However, existing technologies often focus on data collection in a single link and lack a global perspective, resulting in serious data silos. Data between different departments or systems are difficult to share and integrate, affecting the comprehensiveness and accuracy of decision-making, and causing data silos and information asymmetry. Many existing technologies rely on empirical judgments or simple statistical methods and lack scientific quantitative evaluation tools, making it difficult to accurately evaluate the efficiency, cost-effectiveness, etc. of equipment, limiting the scientific nature and refinement of management decisions, and thus lacking quantitative evaluation tools. In addition, due to untimely data collection and processing, existing technologies often find it difficult to respond quickly to changes in the operating status of equipment, resulting in delayed management decisions, affecting production efficiency and economic benefits, and the existence of delayed response and low decision-making efficiency. Finally, most existing technologies focus on the analysis of historical data and lack the ability to predict the future operating status of equipment, making it difficult to discover and solve potential problems in advance, increasing operational risks. Summary of the invention

[0004] The purpose of the present invention is to provide an information management and control method for electromechanical engineering equipment, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, using:

[0006] Data collection module, data processing module, comprehensive evaluation and dynamic adjustment module, adjustment real-time monitoring module and observation data management module are implemented;

[0007] The specific implementation steps are as follows:

[0008] Data Collection:

[0009] The data collection module collects in real time the operating status of the electromechanical engineering equipment and the observation data affecting the output of the equipment during the operation of the electromechanical engineering equipment;

[0010] Data processing:

[0011] The data processing module pre-processes the collected observation data, including cleaning, sorting and analysis, and calculates the actual output and downtime of electrical engineering equipment;

[0012] Observational data management:

[0013] Through the comprehensive evaluation and dynamic adjustment module, the control and adjustment of electromechanical engineering equipment is realized based on the equipment efficiency evaluation, cost-effectiveness and dynamic adjustment factor calculated by the comprehensive evaluation and dynamic adjustment module;

[0014] The comprehensive evaluation and dynamic adjustment module includes a benefit evaluation unit for equipment operation status, a cost benefit evaluation unit and a unit for dynamically adjusting equipment operation status. The implementation process of the specific calculation steps of the comprehensive evaluation and dynamic adjustment module is as follows:

[0015] Step S1, the collected operating status of the electromechanical engineering equipment and the observation data affecting the output of the equipment during the operation of the electromechanical engineering equipment, as well as the actual output and downtime of the electromechanical engineering equipment, are substituted into the benefit evaluation unit of the equipment operation status, and calculation is performed to obtain an equipment efficiency evaluation index for evaluating the overall efficiency of the equipment;

[0016] Step S2, the equipment efficiency evaluation index calculated in the benefit evaluation unit of the equipment operation status is combined with the total benefit, operating cost and maintenance cost generated when the electromechanical engineering equipment is in operation, and the cost-benefit index is calculated to help managers understand the economic performance of the equipment and decide whether to continue to invest, replace or upgrade the electromechanical engineering equipment;

[0017] Step S3, the equipment information management and control system will formulate a target cost-effectiveness, and will also store the time when the electromechanical engineering equipment stopped operating in the previous year and the total time of this observation, and then combine the cost-effectiveness index calculated in the cost-effectiveness evaluation unit, and substitute it into the dynamic adjustment equipment operation status unit to calculate the dynamic adjustment factor that directly affects the cost budget allocation and maintenance plan for the next year;

[0018] Step S4, according to the dynamic change of the dynamic adjustment factor, the available life and aging impact of the electromechanical engineering equipment are understood, and the adjustment strategy of the electromechanical engineering equipment is adjusted and optimized with the dynamic change of the dynamic adjustment factor, and the adjustment strategy includes cost budget allocation and maintenance plan;

[0019] Equipment control adjustments:

[0020] By adjusting the real-time monitoring module, and based on the difference between the cost-effectiveness and the target cost-effectiveness set by the equipment information management and control system, the dynamic adjustment factor is used to dynamically adjust the adjustment strategy of the electromechanical engineering equipment;

[0021] Data upload:

[0022] Upload the collected observation data to the server of the equipment information management and control system.

[0023] Optionally, the benefit evaluation unit formula calculation process of the equipment operation status is as follows:

[0024]

[0025] in:

[0026] BL is the equipment efficiency evaluation index;

[0027] g is the total number of observations;

[0028] a is the number of observations at any one time;

[0029] TT is the equipment downtime index;

[0030] ZT is the total observation time index;

[0031] SG a is the output index actually observed at the ath time;

[0032] QG a is the output index of the a-th expected observation;

[0033] CYW is a difference measurement stability index, CYW reflects the SG of all outputs a With QG a The stability of the device's observed output affected by the sum of the squares of the differences between them;

[0034] TL is the downtime rate, which reflects the impact of equipment downtime on equipment availability.

[0035] Optionally, the cost-effectiveness evaluation unit formula calculation process is as follows:

[0036]

[0037] ZB=YB+WB*BL;

[0038] in:

[0039] BS is the cost-effectiveness index;

[0040] BL is the equipment efficiency evaluation index;

[0041] ZS is the total equipment benefit index;

[0042] YB is the equipment operating cost index;

[0043] WB is the equipment maintenance cost index;

[0044] ZB is the total equipment cost index, which reflects the impact of equipment efficiency on equipment maintenance requirements.

[0045] Optionally, the calculation process of the dynamic adjustment device operating status unit formula is as follows:

[0046]

[0047] in:

[0048] DTY is the dynamic adjustment factor;

[0049] BS is the cost-effectiveness index;

[0050] MCB is the target cost-effectiveness index;

[0051] STT is the equipment downtime index of the previous year;

[0052] ZT is the total observation time index.

[0053] Optionally, the adjustment steps of the dynamic adjustment device operation status unit based on the feedback impact of the benefit evaluation unit on the device operation status in the next year are as follows:

[0054] S1. The equipment efficiency evaluation index BL is used as the adjustment factor of the equipment maintenance cost index WB in the cost-effectiveness evaluation unit, so the value of BL will directly affect the value of the cost-effectiveness index BS, and the cost-effectiveness index BS is used as the input value in the dynamic adjustment equipment operation status unit. After being compared with the target cost-effectiveness index MCB, the dynamic adjustment factor DTY is calculated. The change of the dynamic adjustment factor DTY directly affects the adjustment strategy for the next year, and is thus fed back to the equipment efficiency evaluation index BL. Therefore, the benchmark value of the dynamic adjustment factor is set to JZZ;

[0055] S2. If DTY-JZZ>2, it is considered that the adjustment change has a positive biased value, and the equipment information management and control system needs to increase the investment and maintenance of electromechanical engineering equipment, that is, reduce downtime and improve output stability, thereby increasing the value of BL in the next year;

[0056] S3. If DTY-JZZ<-0.8, it is considered that the adjustment change has a negative and small value, and the equipment information management and control system needs to reduce investment or re-evaluate the strategy for electromechanical engineering equipment, which will have a negative impact on the operating status of electromechanical engineering equipment and reduce the value of BL in the next year;

[0057] S4. If DTY-JZZ≈0, it is considered that the adjustment change is relatively moderate, and the equipment information management and control system needs to continue to monitor the operating status of the electromechanical engineering equipment, discover and solve problems in a timely manner, and avoid the value of BL from decreasing or increasing.

[0058] Optionally, the data collection module includes a data collection unit, and the data processing module includes a data processing unit, a data cleaning unit, a data sorting unit, a data analysis and visualization unit, and a data storage unit.

[0059] Optionally, the data collection unit cleans and normalizes the collected observation data through the data processing unit, the data cleaning unit and the data sorting unit, and then uses the data analysis and visualization unit to provide data analysis functions and algorithm libraries. Finally, the data storage unit stores the observation data.

[0060] Optionally, the equipment used in the data collection module includes sensors and Internet of Things technology, and the equipment used in the data processing module includes servers, hard disks, data analysis software and data visualization tools.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] 1. The present invention realizes data integration and sharing through information technology, breaks data silos, improves data availability and value, provides comprehensive and accurate information support for management decisions, and ensures data integration and sharing.

[0063] 2. The benefit evaluation unit, cost-benefit evaluation unit and dynamic adjustment unit of the equipment operating status in the present invention serve as quantitative evaluation tools, which can accurately calculate the equipment efficiency evaluation index BL, the cost-benefit index BS and the dynamic adjustment factor DTY, provide a scientific basis for management decisions, and improve the scientificity and refinement of decisions.

[0064] 3. The present invention can monitor the operating status and performance parameters of the equipment in real time, promptly discover and warn of potential problems, achieve rapid response and processing, reduce the occurrence of failures and downtime, improve production efficiency and economic benefits, and ensure the coexistence of real-time monitoring and rapid response.

[0065] 4. Through deep mining and intelligent analysis of historical data, the information management and control method of the present invention can predict the future operating status and performance change trends of equipment, provide forward-looking reference for management decisions, optimize resource allocation and maintenance plans, reduce operational risks, and thus provide prediction and optimization capabilities.

[0066] 5. The present invention is not only applicable to the field of mechanical and electrical engineering, but can also be widely used in administrative, commercial, financial, management, supervisory or predictive diversified data processing systems or methods to meet the specific needs of different fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is a method flow chart of the information management and control method for mechanical and electrical engineering equipment;

[0068] Figure 2 This is a schematic diagram of the overall structure of the information management and control method for mechanical and electrical engineering equipment;

[0069] Figure 3 It is a structural schematic diagram of the data processing module of the present invention;

[0070] Figure 4 It is a structural diagram of the comprehensive evaluation and dynamic adjustment module of the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Regarding the information management and control method of this mechanical and electrical engineering equipment, it is different from the existing information management and control methods. In addition to being unsuitable for processing systems or methods for administrative, commercial, financial, management, supervisory or predictive purposes, the existing information management and control methods often focus on data collection in a single link and lack a global perspective, making it difficult to share and integrate data, and difficult to accurately evaluate the efficiency and cost-effectiveness of the equipment, which limits the scientific nature and refinement of management decisions and makes it difficult to respond quickly to changes in the operating status of the equipment. In addition, there is a lack of predictive ability for the future operating status of the equipment. This unit realizes data integration and sharing through information technology, breaks down data silos, and provides a scientific basis for management decisions. The information management and control method can predict the future operating status and performance change trends of the equipment, provide forward-looking references for management decisions, optimize resource allocation and maintenance plans, reduce operational risks, and thus provide predictive and optimization capabilities.

[0073] For example, see Figures 1 to 4 ,This implementation provides an information management and control method for electromechanical engineering equipment, which is implemented by a data collection module, a data processing module, a comprehensive evaluation and dynamic adjustment module, an adjustment real-time monitoring module, and an observation data management module;

[0074] The specific implementation steps are as follows:

[0075] Data collection: Through the data collection module, the operating status of electromechanical engineering equipment and the observation data that affect the output of the equipment during the operation of the electromechanical engineering equipment are collected in real time;

[0076] Data processing: The data processing module pre-processes the collected observation data, including cleaning, sorting and analysis, and calculates the actual output and downtime of electrical engineering equipment;

[0077] Observation data management: Through the comprehensive evaluation and dynamic adjustment module, the control and adjustment of electromechanical engineering equipment is realized based on the equipment efficiency evaluation, cost-effectiveness and dynamic adjustment factors calculated by the comprehensive evaluation and dynamic adjustment module;

[0078] The comprehensive evaluation and dynamic adjustment module includes a benefit evaluation unit of the equipment operation status, a cost benefit evaluation unit and a dynamic adjustment unit of the equipment operation status. The implementation process of the specific calculation steps of the comprehensive evaluation and dynamic adjustment module includes:

[0079] Step S1, the collected operating status of the electromechanical engineering equipment and the observation data affecting the output of the equipment during the operation of the electromechanical engineering equipment, as well as the actual output and downtime of the electromechanical engineering equipment, are substituted into the benefit evaluation unit of the equipment operation status, and the calculation is performed to obtain the equipment efficiency evaluation index for evaluating the overall efficiency of the equipment;

[0080] Step S2, the equipment efficiency evaluation index calculated in the benefit evaluation unit of the equipment operation status is combined with the total benefit, operating cost and maintenance cost generated by the operation of the electromechanical engineering equipment, and is brought into the cost-benefit evaluation unit for calculation, so as to obtain a cost-benefit index that helps managers understand the economic performance of the equipment and decide whether to continue to invest, replace or upgrade the electromechanical engineering equipment;

[0081] Step S3, the equipment information management and control system will formulate a target cost-effectiveness, and will also store the time when the electromechanical engineering equipment stopped operating in the previous year and the total time of this observation, and then combine the cost-effectiveness index calculated in the cost-effectiveness evaluation unit, and substitute it into the dynamic adjustment equipment operation status unit to calculate the dynamic adjustment factor that directly affects the cost budget allocation and maintenance plan for the next year;

[0082] Step S4, according to the dynamic change of the dynamic adjustment factor, the available life and aging impact of the electromechanical engineering equipment are understood, and the adjustment strategy of the electromechanical engineering equipment is adjusted and optimized with the dynamic change of the dynamic adjustment factor, and the adjustment strategy includes cost budget allocation and maintenance plan;

[0083] Equipment control adjustments:

[0084] By adjusting the real-time monitoring module and based on the difference between the cost-effectiveness and the target cost-effectiveness set by the equipment information management and control system, the dynamic adjustment factor is used to dynamically adjust the adjustment strategy of the electromechanical engineering equipment;

[0085] Data upload:

[0086] Upload the collected observation data to the server of the equipment information management and control system.

[0087] In this embodiment, the system can be widely used in administrative, commercial, financial, management, supervision or prediction diversified data processing systems or methods through the mutual cooperation of three units to meet the specific needs of different fields. Combining the three operation results of BL, BS and DTY, a comprehensive and accurate equipment information management and control method can be formed. This method can ensure the integration and sharing of data, provide a scientific basis for management decisions, timely discover and warn potential problems, achieve rapid response and processing, and predict the future operating status and performance change trend of the equipment, providing a forward-looking reference for management decisions. BL is the equipment efficiency evaluation index, which measures the operating efficiency of electromechanical engineering equipment in a specific time period, reflects the stability and reliability of electromechanical engineering equipment, and evaluates whether the electromechanical engineering equipment meets or exceeds the design standards and whether improvement measures need to be taken. BS is the cost-effectiveness index, which measures the relationship between the economic benefits and input costs of mechanical and electrical engineering equipment during operation, evaluates the economic performance of mechanical and electrical engineering equipment, reflects its contribution to the profitability of the enterprise, and provides quantitative indicators for management decisions on the economic performance of equipment. DTY is a dynamic adjustment factor, which reflects the difference between the current equipment cost-effectiveness ratio and the target cost-effectiveness ratio. As the basis for formulating adjustment strategies, it guides enterprises on how to improve and optimize according to the current situation, and provides clear guidance on the direction of equipment performance improvement for management decisions. The calculation results of DTY can also affect the calculation of BL in the next year, which makes the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can perform automatic feedback and optimization according to the actual situation to be closer to reality.

[0088] See also Figures 1 to 4 , the calculation process of the benefit evaluation unit formula of equipment operation status is as follows:

[0089]

[0090] in:

[0091] BL is the equipment efficiency evaluation index;

[0092] g is the total number of observations;

[0093] a is the number of observations at any one time;

[0094] TT is the equipment downtime index;

[0095] ZT is the total observation time index;

[0096] SG a is the output index actually observed at the ath time;

[0097] QG a is the output index of the a-th expected observation;

[0098] CYW is a difference measurement stability index, CYW reflects the SG of all outputs a With QG a The stability of the device's observed output affected by the sum of the squares of the differences between them;

[0099] TL is the downtime rate, which reflects the impact of equipment downtime on equipment availability.

[0100] In this embodiment: First, CYW in this unit is the difference measurement stability index, which is used to calculate the output index SG actually observed for the ath time. a The output index QG of the expected observation for the ath time a The difference is the sum of squares of the differences between them. The difference measures the stability index CYW, which measures the stability and accuracy of the equipment output. The smaller the difference, the closer the output of the electromechanical engineering equipment is to the expectation, and the higher the stability. On the contrary, the stability is low. TL is the downtime rate, which reflects the impact of equipment downtime on the availability of electromechanical engineering equipment. The longer the downtime, the lower the availability of the electromechanical engineering equipment, and the greater the negative impact on production or operation. Combined with g as the total number of observations, the equipment efficiency evaluation index BL can be obtained;

[0101] The equipment efficiency evaluation index BL in this unit converts the actual operating efficiency of electromechanical engineering equipment into a quantifiable indicator through a series of mathematical operations. This indicator combines multiple factors such as the operating time, downtime, and production capacity of electromechanical engineering equipment, and can fully reflect the operating efficiency of electromechanical engineering equipment within a specific time period. The calculation of the equipment efficiency evaluation index BL not only considers the direct operating efficiency of the equipment, but also implies the impact of equipment maintenance and fault handling factors on efficiency. Therefore, it is a comprehensive evaluation indicator.

[0102] The equipment efficiency evaluation index BL can monitor the operating efficiency of the equipment in real time and provide managers with immediate feedback. By calculating the equipment efficiency evaluation index BL regularly or in real time, managers can understand the operating status of electromechanical engineering equipment and promptly discover and deal with potential problems. The equipment efficiency evaluation index BL provides a scientific basis for management decisions. By comparing the equipment efficiency evaluation indexes BL of different electromechanical engineering equipment, managers can evaluate the overall performance of electromechanical engineering equipment, optimize resource allocation, and formulate more reasonable production plans and maintenance strategies. The calculation results of the equipment efficiency evaluation index BL can guide enterprises to optimize the performance of electromechanical engineering equipment. For electromechanical engineering equipment with low equipment efficiency evaluation index BL values, managers can deeply analyze the reasons for its inefficiency and take targeted measures to improve equipment efficiency.

[0103] See also Figures 1 to 4 , the calculation process of the cost-effectiveness evaluation unit formula is as follows:

[0104]

[0105] ZB=YB+WB*BL;

[0106] in:

[0107] BS is the cost-effectiveness index;

[0108] BL is the equipment efficiency evaluation index;

[0109] ZS is the total equipment benefit index;

[0110] YB is the equipment operating cost index;

[0111] WB is the equipment maintenance cost index;

[0112] ZB is the total equipment cost index, which reflects the impact of equipment efficiency on equipment maintenance requirements.

[0113] In this embodiment, first, ZB is the total equipment cost index, which is the total cost of the computer electrical engineering equipment, including the fixed equipment operating cost index YB and the equipment maintenance cost index WB. The equipment maintenance cost index WB is adjusted according to the equipment efficiency evaluation index BL to reflect the impact of equipment efficiency on maintenance demand. Combined with ZS as the total equipment benefit index, the cost-effectiveness index BS for evaluating the economic benefits under the given mechanical and electrical engineering equipment efficiency can be obtained;

[0114] This unit measures the quantitative indicators of the relationship between the economic benefits and input costs generated by mechanical and electrical engineering equipment during operation. It compares the total income of the equipment with the total cost to obtain a ratio that reflects the economic feasibility and effectiveness of the equipment. The calculation of the cost-effectiveness index BS takes into account multiple factors such as the purchase cost, operation cost, and maintenance cost of the equipment, as well as the direct and indirect benefits generated by the equipment. The cost-effectiveness index BS provides managers with an intuitive evaluation of the economic performance of the equipment. By calculating the cost-effectiveness index BS, managers can understand the return on investment of the equipment and evaluate whether the equipment has achieved or exceeded the expected economic benefits. The calculation results of the cost-effectiveness index BS help enterprises to allocate resources reasonably. For equipment with a higher cost-effectiveness index BS value, enterprises can increase investment to improve their production capacity and economic benefits; for equipment with a lower cost-effectiveness index BS value, enterprises can consider optimizing the use method or eliminating and updating it. The calculation of the cost-effectiveness index BS can also guide enterprises to carry out cost control. By analyzing the components of the cost-effectiveness index BS, managers can identify the key points of cost control and take effective measures to reduce the operating costs of equipment and improve the overall economic benefits.

[0115] See also Figures 1 to 4 , the calculation process of the dynamic adjustment equipment operation status unit formula is as follows:

[0116]

[0117] in:

[0118] DTY is the dynamic adjustment factor;

[0119] BS is the cost-effectiveness index;

[0120] MCB is the target cost-effectiveness index;

[0121] STT is the equipment downtime index of the previous year;

[0122] ZT is the total observation time index.

[0123] In this embodiment, this unit is first based on If the current cost-effectiveness index BS is higher than the target cost-effectiveness index MCB, it means that it is necessary to increase investment or adjust the strategy to maintain or improve performance; on the contrary, if it is lower than the target, it means that it is necessary to reduce investment or re-evaluate the strategy. The calculation of takes into account the operational stability of the electromechanical equipment last year as a restriction or weighting factor for the current adjustment. If the downtime last year was long, the strategy needs to be adjusted more carefully this year. The above calculation can be used to obtain the dynamic adjustment factor DTY used to guide the budget allocation and maintenance plan for the next year;

[0124] The dynamic adjustment factor DTY in this unit is a quantitative indicator that reflects the difference between the current cost-effectiveness index BS and the target cost-effectiveness index MCB. It compares the cost-effectiveness index BS with the target cost-effectiveness index MCB to obtain an adjustment factor to guide enterprises to dynamically adjust and optimize equipment. The calculation of the dynamic adjustment factor DTY takes into account the impact of market changes, technological progress, equipment aging and other factors on the cost-effectiveness index BS.

[0125] The dynamic adjustment factor DTY provides a scientific basis for the dynamic optimization of equipment. By calculating the dynamic adjustment factor DTY, managers can understand the gap between current equipment performance and target performance and formulate targeted optimization strategies, such as adjusting production plans, improving maintenance methods, and updating and upgrading equipment.

[0126] The calculation results of the dynamic adjustment factor DTY help enterprises adapt to market changes and technological advances. With the changes in the market environment and the continuous advancement of technology, the performance requirements and economic benefits of electromechanical engineering equipment will also change. By regularly calculating the dynamic adjustment factor DTY and making adjustments accordingly, enterprises can maintain the competitiveness and economic benefits of their equipment.

[0127] See also Figures 1 to 4 The adjustment steps for the dynamic adjustment of the equipment operation status unit based on the feedback impact of the benefit evaluation unit on the equipment operation status in the next year are as follows:

[0128] S1. The equipment efficiency evaluation index BL is used as the adjustment factor of the equipment maintenance cost index WB in the cost-effectiveness evaluation unit. Therefore, the value of BL will directly affect the value of the cost-effectiveness index BS. The cost-effectiveness index BS is used as the input value in the dynamic adjustment of the equipment operation status unit. After comparing with the target cost-effectiveness index MCB, the dynamic adjustment factor DTY is calculated. The change of the dynamic adjustment factor DTY directly affects the adjustment strategy for the next year, and is thus fed back to the equipment efficiency evaluation index BL. Therefore, the benchmark value of the dynamic adjustment factor is set to JZZ.

[0129] S2. If DTY-JZZ>2, it is considered that the adjustment change has a positive biased value, and the equipment information management and control system needs to increase the investment and maintenance of electromechanical engineering equipment, that is, reduce downtime and improve output stability, thereby increasing the value of BL in the next year;

[0130] S3. If DTY-JZZ<-0.8, it is considered that the adjustment change has a negative and small value, and the equipment information management and control system needs to reduce investment or re-evaluate the strategy for electromechanical engineering equipment, which will have a negative impact on the operating status of electromechanical engineering equipment and reduce the value of BL in the next year;

[0131] S4. If DTY-JZZ≈0, it is considered that the adjustment change is relatively moderate, and the equipment information management and control system needs to continue to monitor the operating status of the electromechanical engineering equipment, discover and solve problems in a timely manner, and avoid the value of BL from decreasing or increasing.

[0132] In this embodiment, this unit generates a circular feedback effect on the equipment efficiency evaluation index BL in the benefit evaluation unit of the equipment operation status by calculating the dynamic adjustment factor DTY based on the dynamic adjustment unit of the equipment operation status. Specifically, the calculation result of the dynamic adjustment factor DTY reflects the gap between the current equipment performance and the target performance. This gap will serve as the basis for optimizing the equipment performance. When the manager optimizes and adjusts the equipment according to the calculation result of the dynamic adjustment factor DTY, the equipment efficiency evaluation index BL will be improved. This improvement will further affect the calculation result of the cost-effectiveness index BS and the subsequent calculation of the dynamic adjustment factor DTY, thereby forming a circular feedback process.

[0133] By dynamically adjusting the circular feedback effect of the equipment operation status unit on the equipment operation status benefit evaluation unit, the enterprise can achieve continuous improvement and optimization of the equipment. This continuous improvement not only improves the equipment's operating efficiency and economic benefits, but also enhances the enterprise's competitiveness and market adaptability.

[0134] The calculation result of the dynamic adjustment factor DTY can also be used as a basis for risk warning. When the dynamic adjustment factor DTY value is large, it means that there is a large gap between the current equipment performance and the target performance, and there is a potential operating risk or performance bottleneck. At this time, managers can take measures in advance to intervene and adjust to avoid the occurrence and expansion of risks.

[0135] The feedback loop mechanism provides more comprehensive and accurate information support for management decisions. By comprehensively considering the changing trends and interrelationships of multiple indicators, managers can formulate more scientific and reasonable decision-making plans to promote the sustainable and healthy development of the enterprise.

[0136] In the specific implementation process, there are extensive correlations between the benefit evaluation unit, cost-benefit evaluation unit and algorithm for dynamically adjusting the equipment operating status unit of the equipment operating status and data processing systems or methods for administrative, commercial, financial, management, supervisory or predictive purposes. These algorithms, as important tools for data processing and analysis, can support decision-making, process optimization and risk management in various fields.

[0137] For example 2, please refer to Figures 1 to 4 The data collection module includes a data collection unit, and the data processing module includes a data processing unit, a data cleaning unit, a data sorting unit, a data analysis and visualization unit, and a data storage unit.

[0138] The data collection unit cleans and normalizes the collected observation data through the data processing unit, data cleaning unit and data sorting unit, and then uses the data analysis and visualization unit to provide data analysis functions and algorithm libraries. Finally, the data storage unit stores the observation data.

[0139] The equipment used in the data collection module includes sensors and Internet of Things technology, and the equipment used in the data processing module includes servers, hard disks, data analysis software and data visualization tools.

[0140] In this embodiment, the sensor is the core component for monitoring the dynamic changes of electromechanical engineering equipment. It can monitor and collect data in real time, and transmit the collected data to the subsequent data processing module for processing. The server is the core device for data processing and storage. The server can handle a large number of data calculation tasks and store various types of data. In the fields of administration, commerce, finance, etc., the server is an indispensable part of the data processing system. Data analysis software includes Excel, SPSS, SAS, and R language, which provide rich data analysis functions and algorithm libraries. Data visualization tools include Tableau, Power BI, and ECharts, which can present complex data analysis results in an intuitive and easy-to-understand way, helping users better understand the laws and trends behind the data.

[0141] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for informatization control of electromechanical engineering equipment, characterized in that: The steps include: Data Collection: The data collection module collects in real time the operating status of the electromechanical engineering equipment and the observation data affecting the output of the equipment during the operation of the electromechanical engineering equipment; Data processing: The data processing module pre-processes the collected observation data and calculates the actual output and downtime of the electrical engineering equipment; Observational data management: Implementing control and adjustment of electromechanical engineering equipment based on equipment efficiency evaluation, cost-effectiveness and dynamic adjustment factors obtained by the comprehensive evaluation and dynamic adjustment module; Equipment control adjustments: By adjusting the real-time monitoring module, and based on the difference between the cost-effectiveness and the target cost-effectiveness set by the equipment information management and control system, the dynamic adjustment factor is used to dynamically adjust the adjustment strategy of the electromechanical engineering equipment; Data upload: Upload the collected observation data to the server of the equipment information management and control system.

2. The method for information management and control of electromechanical engineering equipment according to claim 1, characterized in that: The comprehensive evaluation and dynamic adjustment module includes a benefit evaluation unit for equipment operation status, a cost benefit evaluation unit and a unit for dynamically adjusting equipment operation status. The implementation process of the specific calculation steps of the comprehensive evaluation and dynamic adjustment module includes: Step S1, inputting the collected operating status of the electromechanical engineering equipment and the observation data affecting the output of the equipment during the operation of the electromechanical engineering equipment, as well as the actual output and downtime of the electromechanical engineering equipment into the benefit evaluation unit of the equipment operation status, and obtaining an equipment efficiency evaluation index for evaluating the overall efficiency of the equipment; Step S2, inputting the equipment efficiency evaluation index obtained from the benefit evaluation unit of the equipment operation status into the cost-benefit evaluation unit together with the total benefit, operating cost and maintenance cost generated when the electromechanical engineering equipment is in operation, and obtaining a cost-benefit index that helps managers understand the economic performance of the equipment and decide whether to continue to invest, replace or upgrade the electromechanical engineering equipment; Step S3, the equipment information management and control system will formulate a target cost-effectiveness, store the time when the electromechanical engineering equipment stopped operating in the previous year and the total time of this observation, and then combine the cost-effectiveness index obtained in the cost-effectiveness evaluation unit, and input them into the dynamic adjustment equipment operation status unit to obtain a dynamic adjustment factor that directly affects the cost budget allocation and maintenance plan for the next year; Step S4, according to the dynamic change of the dynamic adjustment factor, the usable life and aging effect of the electromechanical engineering equipment are understood, and the adjustment strategy of the electromechanical engineering equipment is adjusted and optimized according to the dynamic change of the dynamic adjustment factor; Adjustment strategies include cost budget allocation and maintenance planning.

3. The method for information management and control of electromechanical engineering equipment according to claim 2, characterized in that: The benefit evaluation unit of the equipment operation status adopts the following formula: in: BL is the equipment efficiency evaluation index; g is the total number of observations; a is the number of observations at any one time; TT is the equipment downtime index; ZT is the total observation time index; SG a is the output index actually observed at the ath time; QG a is the output index of the a-th expected observation; CYW is a difference measurement stability index, CYW reflects the SG of all outputs a With QG a The stability of the device's observed output affected by the sum of the squares of the differences between them; TL is the downtime rate, which reflects the impact of equipment downtime on equipment availability.

4. The method for information management and control of electromechanical engineering equipment according to claim 3, characterized in that: The cost-effectiveness evaluation unit adopts the following formula: ZB=YB+WB*BL; in: BS is the cost-effectiveness index; BL is the equipment efficiency evaluation index; ZS is the total equipment benefit index; YB is the equipment operating cost index; WB is the equipment maintenance cost index; ZB is the total equipment cost index, which reflects the impact of equipment efficiency on equipment maintenance requirements.

5. The method for information management and control of electromechanical engineering equipment according to claim 4, characterized in that: The dynamic adjustment device operating status unit adopts the following formula: in: DTY is the dynamic adjustment factor; BS is the cost-effectiveness index; MCB is the target cost-effectiveness index; STT is the equipment downtime index of the previous year; ZT is the total observation time index.

6. The method for information management and control of electromechanical engineering equipment according to claim 5, characterized in that: The adjustment steps of the dynamic adjustment device operation status unit based on the impact of the benefit evaluation unit on the device operation status in the next year are as follows: S1. The equipment efficiency evaluation index BL is used as the adjustment factor of the equipment maintenance cost index WB in the cost-effectiveness evaluation unit, so the value of BL will directly affect the value of the cost-effectiveness index BS, and the cost-effectiveness index BS is used as the input value in the dynamic adjustment equipment operation status unit. After being compared with the target cost-effectiveness index MCB, the dynamic adjustment factor DTY is calculated. The change of the dynamic adjustment factor DTY directly affects the adjustment strategy for the next year, thereby affecting the equipment efficiency evaluation index BL. Therefore, the benchmark value of the dynamic adjustment factor is set to JZZ; S2. If DTY-JZZ>2, it is considered that the adjustment change has a positive biased value, and the equipment information management and control system needs to increase the investment and maintenance of electromechanical engineering equipment, that is, reduce downtime and improve output stability, thereby increasing the value of BL in the next year; S3. If DTY-JZZ<-0.8, it is considered that the adjustment change has a negative and small value, and the equipment information management and control system needs to reduce investment and re-evaluate the strategy for electromechanical engineering equipment, which will have a negative impact on the operating status of electromechanical engineering equipment and reduce the value of BL in the next year; S4. If DTY-JZZ≈0, it is considered that the adjustment change is relatively moderate, and the equipment information management and control system needs to continue to monitor the operating status of the electromechanical engineering equipment to discover and solve problems in a timely manner.

7. The method for information management and control of electromechanical engineering equipment according to claim 1, characterized in that: The data collection module includes a data collection unit, and the data processing module includes a data processing unit, a data cleaning unit, a data sorting unit, a data analysis and visualization unit, and a data storage unit.

8. The method for information management and control of electromechanical engineering equipment according to claim 7, characterized in that: The data collection unit cleans and normalizes the collected observation data through the data processing unit, the data cleaning unit and the data sorting unit, and then uses the data analysis and visualization unit to provide data analysis functions and algorithm libraries. Finally, the data storage unit stores the observation data.

9. The method for information management and control of electromechanical engineering equipment according to claim 8, characterized in that: The equipment used in the data collection module includes sensors and Internet of Things technology, and the equipment used in the data processing module includes servers, hard disks, data analysis software and data visualization tools.

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