Intelligent electromechanical operation and maintenance management method for expressway

Abstract

The invention is suitable for the field of electromechanical operation and maintenance management, and provides a highway electromechanical intelligent operation and maintenance management method, which comprises the steps of information input and database construction; basic information of all electromechanical equipment and electrical elements thereof is recorded on the operation terminal and is stored in the system by utilizing a database technology; recording equipment installation point locations, and inputting point location numbers, vulnerability degrees, importance degrees, environment complexity, weight distribution coefficients and loss coefficients; health degree evaluation and inspection plan making are carried out; the personnel completes field inspection to record data, and the system updates the correction coefficient of the equipment and re-evaluates the state of the equipment; the health degree is recalculated, and optimization suggestions are provided; and the system modularly displays the information on the control terminal. Therefore, full-life-cycle management can be realized, the inspection plan is optimized, and the pertinence and efficiency of inspection are improved; the device state can be tracked in real time, the inventory strategy can be intelligently formulated, the data-driven decision is optimized, and the management efficiency is improved.

Description

Technical Field

[0001] The present invention is applicable to the field of electromechanical operation and maintenance management, and provides a method for intelligent operation and maintenance management of highway electromechanical equipment. Background Art

[0002] Intelligent operation and maintenance management of highway electromechanical equipment refers to using advanced technical means such as modern information technology, Internet of Things, cloud computing, and big data analysis, combining with the operating conditions of highway electromechanical equipment, and realizing the management and optimization of various operation and maintenance tasks such as comprehensive monitoring, fault diagnosis, and maintenance of highway electromechanical equipment through an intelligent system. Its purpose is to improve the operating efficiency of highway electromechanical equipment, extend the service life of the equipment, reduce operation and maintenance costs, and improve management accuracy and emergency response capabilities through intelligent means. Intelligent operation and maintenance management can not only ensure the safe and unobstructed operation of highways, but also improve the service quality and management efficiency of highways through predictive maintenance and optimized resource allocation.

[0003] Current methods for intelligent operation and maintenance management of highway electromechanical equipment usually rely on monitoring platforms based on information technology. These platforms use means such as sensors, equipment monitoring systems, and real-time data collection to monitor the operating status of highway electromechanical equipment in real time and record data. Through centralized management, operation and maintenance personnel can always master the operating conditions of the equipment, discover potential faults and take corresponding measures, thereby improving operation and maintenance efficiency and accuracy.

[0004] However, the existing methods for highway electromechanical operation and maintenance management cannot fully meet the requirements of full-life cycle management of equipment in actual applications. Specifically, the existing systems usually cannot achieve full-process monitoring and management of the entire life cycle of equipment from procurement, installation, commissioning to retirement. In addition, most current operation and maintenance management methods lack the function of automatically formulating inspection plans and still rely on manual arrangements and manual records, resulting in difficulty in dynamically adjusting inspection plans according to factors such as the usage status of equipment and failure frequency, thereby affecting operation and maintenance efficiency and timeliness. Moreover, the existing systems also have deficiencies in inventory management and cannot intelligently formulate and adjust inventory strategies according to factors such as the usage of equipment and the consumption frequency of spare parts, resulting in overstock or shortage of inventory, thus increasing management costs. Summary of the Invention

[0005] Aiming at the above-mentioned defects, the purpose of the present invention is to provide a method for intelligent operation and maintenance management of highway electromechanical equipment, aiming to solve the problems raised in the background art. The method includes the following steps:

[0006] S1. Information entry and database construction; identify and enter the basic information of all electromechanical equipment and their electrical components on the highway on the operation terminal, and store this information in the system using database technology;

[0007] S2. Equipment installation management and point information entry: Record the installation points of each device and component based on GIS technology, input the point number, consumability, importance, and environmental complexity, and assign weight coefficients and depreciation coefficients to the equipment.

[0008] S3. Health assessment and inspection plan formulation: Combine the basic information, point information, historical operation data, fault records, and maintenance records of the equipment to evaluate the health of the equipment, and formulate an inspection plan based on the evaluation results and preset inspection rules.

[0009] S4. Inspection execution and health recalculation: The staff completes the on-site inspection and records the data according to the inspection task list generated by the system. Subsequently, the system updates the correction coefficient of the equipment based on the new data, re-evaluates the equipment status, and recalculates the health.

[0010] S5. Data analysis and optimization: Statistically process the inspection record information, mine the correlation and rules between the data, and then identify the optimization space and intelligently propose optimization suggestions.

[0011] S6: Information display and report generation: Modularly display the information on the control terminal, and use the GIS system to regionally display the statistical distribution of equipment and components on the terminal display device.

[0012] Furthermore, the step S1 includes the following specific steps:

[0013] S1.1. Warehouse management: Enter the information of all electromechanical equipment and its electrical components on the highway into the system, including name, model, specification, manufacturer, factory date, equipment life, fault book information, and warranty information. Use database technology to store the equipment information, assign an independent number to each equipment and component, and establish the subordinate relationship between the equipment and the components.

[0014] S1.2. Construction of basic information database and health calculation information database: Generate a basic information database, a health calculation information database, a fault information database, and a warranty information database.

[0015] Furthermore, the step S3 includes the following specific steps:

[0016] S3.1. Operation of health assessment module: Combine the weight coefficient, depreciation coefficient, interference coefficient, correction coefficient, and the used cycle to calculate the health score of the equipment.

[0017] S3.2. Intelligent formulation of inspection plan: Automatically formulate an inspection form based on the equipment health score, and give inspection suggestions, including inspection methods, required tools, and inspection plan documents.

[0018] Furthermore, the specific method for calculating the health score in step S3.1 is as follows:

[0019] For electromechanical equipment and components on expressways, the scrapping years are predicted according to the health percentage. The usage cycle is calculated starting from the installation of the equipment, that is, the health percentage is calculated thereafter. The calculation of the health percentage is based on the following formula:

[0020]

[0021] Where: S is the health percentage, X is the expected life, a k is the health loss in the k-th inspection cycle, α k is the correction coefficient in the k-th inspection cycle, F, Y, and Z are the environmental complexity interference coefficient, consumability interference coefficient, and weight coefficient respectively, j k is the length of the k-th inspection cycle, and g is the correction coefficient.

[0022] Furthermore, the interference coefficient is obtained through real-time weather data and other operating environment indicators acquired by the GIS system, and is calculated and analyzed using the entropy weight method.

[0023] Furthermore, the specific steps in step S4 are as follows:

[0024] S4.1. Execution of inspection tasks; staff view and execute inspection tasks on the mobile terminal, and perform inspection operations according to inspection suggestions; during the inspection process, record inspection data such as equipment status, maintenance situation, and abnormal records.

[0025] S4.2. Recalculation of health and update of correction coefficient; the inspection information update and health recalculation module updates the correction coefficient according to the inspection data, combined with the new correction coefficient and the expected life of newly installed equipment and components, re-evaluates the equipment status, and recalculates the health.

[0026] Furthermore, step S4 also includes the following steps:

[0027] S4.3. Intelligent warehouse management; the system automatically records the consumption of materials, calculates the average consumption and consumption frequency of each material, and automatically generates a replenishment form, including name, specification, replenishment quantity, and replenishment time point, and automatically generates a replenishment form.

[0028] Through the integration of multiple functional modules, this system realizes the comprehensive, efficient, and intelligent management of electromechanical equipment on expressways. Among them, the health calculation is based on multiple factors such as the expected life, weight coefficient, depreciation coefficient, interference coefficient, and correction coefficient of the equipment. Through complex algorithms, the health percentage of the equipment is obtained, so as to accurately predict the remaining serviceable years of the equipment. The calculation result of the health not only provides a scientific basis for the formulation of the inspection plan, but also directly guides the optimization of the operation and maintenance strategy, ensuring the stable operation of the electromechanical equipment on expressways.

[0029] The beneficial effects of the present invention are as follows:

[0030] 1. Achieve full life cycle management: Through multiple modules such as warehousing management, equipment installation management, and health assessment, the system can achieve full life cycle management of electromechanical equipment from warehousing to scrapping, improving the management efficiency and service life of the equipment.

[0031] 2. Optimize the inspection plan: According to the health score of the equipment, the system can automatically formulate inspection plans, including inspection methods, required tools, inspection plan documents, etc., improving the pertinence and efficiency of inspections.

[0032] 3. Real-time track the equipment status: Through the inspection execution and health recalculation module, the system can update the correction coefficient and health of the equipment in real time, achieve accurate assessment of the actual operating status of the equipment, and ensure timely discovery and solution of potential problems.

[0033] 4. Intelligently formulate inventory strategies: The warehousing intelligent management module intelligently formulates inventory strategies based on the damage and repair frequency of the equipment, automatically generates replenishment tables and material arrival forms, improving the efficiency and accuracy of warehousing management.

[0034] 5. Optimize data-driven decision-making: The data analysis and optimization module proposes optimization suggestions, such as adjusting the inspection cycle and optimizing the maintenance strategy, by mining the correlation and laws between data, achieving scientific and effective decision-making.

[0035] 6. Visual display and report generation: The information display and report generation module modularly displays system information and provides a visual interface and report generation tools, facilitating managers to view and analyze data and improving management efficiency. Brief Description of the Drawings

[0036] Figure 1 It is a logical operation step diagram of the present invention. Detailed Embodiments

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. At the same time, the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0038] The object of the present invention is to provide a method for intelligent operation and maintenance management of highway electromechanical systems. Through informatization and data-driven means, this method realizes comprehensive, efficient, and intelligent operation and maintenance management of all electromechanical devices and electrical components on highways. This method is based on the highway electromechanical intelligent operation and maintenance management system, which integrates multiple functional modules such as warehousing management, equipment installation management, health assessment, maintenance cycle prediction, health optimization strategy, intelligent formulation of inspection plans, monitoring of inspection status execution, analysis and optimization of inspection data, and intelligent management of maintenance warehousing to achieve the full life cycle management of electromechanical devices.

[0039] See the appendix Figure 1 , this system includes a warehousing management module, an equipment installation management module, a health assessment module, an inspection plan formulation and execution module, an inspection information update and health recalculation module, a data analysis and optimization module, an intelligent warehousing management module, an information display and report generation module.

[0040] The warehousing management module is responsible for entering the information of all electromechanical devices and their electrical components on the highway into the system. After entry, database technology is used to store the device information, assign independent identification information to each device and component, as well as the components within the device. Among them, a subordinate relationship is given between the device and its components, and the device is associated with its relevant attributes through a data model. When entering, the management personnel identify and enter basic information such as the name, model, specification, manufacturer, factory date, device life, fault book information, and quality assurance information of the device and components through the operation terminal.

[0041] In the database, the independent identification information of the device and component is integrated with the fault book information item by item to generate a fault information database; the name, model, specification, and manufacturer information of the device and component are integrated to generate a basic information database; the factory date and device service life information of the device and component are integrated to generate a health calculation information database; and the quality assurance information is integrated to generate a quality assurance information database.

[0042] The equipment installation management module is responsible for recording the installation points of each device and component. That is, through GIS (Geographic Information System) technology, the installation points of the equipment are marked on the map and relevant information is input. The system generates point number information and assigns a weight coefficient and a depreciation coefficient to this point (area range) according to preset rules. The devices and components mentioned here include each independent device, the components that operate independently or assist in the operation inside some open devices, and the components that are installed and operate independently, etc. Each group of different point number information corresponds to an independent point number, and the system corresponds the point number with the independent number information of the device and component at the point. The point number information includes information such as the consumability degree, importance degree, and environmental complexity degree of this point. The system uses GIS technology to record and process spatial location information and the management of each point information. When establishing this point information, the staff selects the consumability degree, importance degree, and environmental complexity degree, and calculates the coefficients according to the input conditions.

[0043] The consumability degree represents the degree of difficulty and frequency of performance degradation or replacement due to natural wear, aging, or frequent use during the use of the equipment. Equipment with a high consumability degree may require more frequent maintenance and replacement. Therefore, higher priorities will be given in budget arrangements, spare parts inventory, and maintenance plans. Equipment with a high consumability degree may require more frequent maintenance and replacement. Therefore, higher priorities will be given in budget arrangements, spare parts inventory, and maintenance plans.

[0044] The importance degree represents the importance of the equipment to the overall operation, traffic safety, and efficiency of the highway. Equipment with a high importance degree (such as traffic monitoring systems, emergency communication equipment, etc.) may directly affect the road traffic capacity, accident handling efficiency, or personnel safety in case of failure. Therefore, higher maintenance standards and faster fault response mechanisms are required. By distinguishing the importance degree of the equipment, resource allocation can be optimized.

[0045] The environmental complexity degree represents the complexity degree of the environmental conditions where the equipment is installed and operates, including natural environment (such as climate, geological conditions), traffic flow, pollution degree, and human interference, etc. Environmental factors have a direct impact on the performance and lifespan of the equipment. For example, equipment located in high humidity, high salt fog, or heavily polluted areas may face faster corrosion and aging. Therefore, more frequent maintenance and inspection are required.

[0046] The system assigns a weight coefficient to the equipment according to the importance degree of the installation point, and assigns a depreciation coefficient according to information such as the consumability degree and environmental complexity degree of the installation point. The weight coefficient and the depreciation coefficient are used for the subsequent steps of health degree calculation, depreciation prediction, and intelligent layout and planning of the inspection cycle.

[0047] Table 1 is the evaluation / coefficient selection table for consumability degree, importance degree, and environmental complexity degree

[0048]

[0049] In this system, the administrator undertakes the core responsibility of entering detailed device information. When recording the installation locations of devices and their basic data in the system through a mobile terminal, the evaluation levels of "consumable degree", "importance degree", and "environmental complexity" can be selected for each device. The levels can be subdivided into four levels: micro, small, medium, and high. According to the corresponding evaluation levels, the system intelligently matches and applies the corresponding coefficients for the subsequent health calculation and depreciation prediction, providing data support for the maintenance cycle of the device, spare parts inventory, preventive maintenance plan, etc., and formulating a more accurate and effective device management plan.

[0050] Based on the health calculation information database, the health assessment module combines factors such as the expected life, weight coefficient, depreciation coefficient, interference coefficient, correction coefficient, used cycle, and historical fault information of each device and component at the time of factory, and calculates and updates the health score of the device periodically.

[0051] Assign a health value to the expected life of the device and component. This value can be the number of days of the expected life. By multiplying the number of days from the production date by the weight coefficient and depreciation coefficient, the ideal expected loss for the current day is obtained. At the same time, the system combines weather information and other operating environment indicators to intelligently obtain the interference coefficient through the weight analysis method. The system obtains the correction coefficient by reading historical fault information and maintenance history information.

[0052] The selection of the interference coefficient is obtained by using the entropy method for weight calculation and analysis. Before the system integration operation, the GIS system obtains real-time weather data from various meteorological data sources, including but not limited to factors such as temperature, humidity, wind speed, and precipitation that affect the service life of the device. After normalizing the detection data, entropy method analysis including intermediate links such as non-negative translation of data and outlier exclusion is carried out to obtain the comprehensive interference evaluation of the weather data, and the interference coefficient is obtained by using the score of the comprehensive interference evaluation.

[0053] Here, the entropy method is applied to the interference coefficient, and its weight is calculated according to the variation degree (i.e., the amount of information) of each weather parameter. The smaller the entropy value, the greater the amount of information of the parameter and the more significant the impact on the comprehensive interference evaluation. Then, through weighted summation, the comprehensive interference evaluation score of the weather data is obtained. This score reflects the overall impact degree of the current weather conditions on the operation of the electromechanical device. The comprehensive interference evaluation score is mapped into the preset interference coefficient interval to obtain the specific interference coefficient.

[0054] Among them, the entropy method for weight calculation is a commonly used method in weight analysis, that is, using information concentration, or using the relative importance of numbers or the amount of available information (the entropy principle in physics) for weight calculation. It is an existing technology, and its specific principle, calculation process, and the medium for realizing its function will not be elaborated here.

[0055] Table 2 is a comparison table (partial) of the environmental monitoring data values in the area where a certain device is located and the corresponding calculated interference coefficient values.

[0056]

[0057] The correction coefficient refers to the coefficient added to the calculation formula to make it reflect the true performance when there are deviations in data calculation, formula expression, etc. due to the difference between ideal and reality, reality and investigation, etc. The selection of the correction coefficient is based on the comparison between the calculated ideal service life and the actual service life obtained by reading historical fault information and maintenance history information. The correction coefficient is selected according to the deviation value obtained by statistically analyzing the two groups of data of multiple devices. The range of the correction coefficient is set between 0.96 and 1.03. The system selects according to the failure rate, error reporting rate, damage rate, etc. of the device in the historical fault information and maintenance history information. That is, according to the size of the deviation value, the system selects a suitable correction coefficient from the preset range of correction coefficients. The larger the deviation value, the more significant the difference between the actual service life and the ideal service life, so the selected correction coefficient should be closer to the upper or lower limit of the range; on the contrary, the smaller the deviation value, the closer the selected correction coefficient should be to 1.

[0058] The health assessment module can calculate the health degree based on the above-mentioned expected life weight coefficient, depreciation coefficient, interference coefficient, correction coefficient, and the used cycle.

[0059] For highway electromechanical equipment and components, the scrapping years are predicted according to the health percentage. It is set that the use cycle is calculated since the equipment is installed, that is, the health percentage is calculated starting from then. The calculation method of the health percentage is as follows:

[0060]

[0061] Among them: S is the health percentage, X is the expected life, a k is the health loss in the kth inspection cycle, α k is the correction coefficient in the kth inspection cycle.

[0062] The health loss in the kth inspection cycle:

[0063] a k =(F·Y·Z)j k ·g (2)

[0064] Where: F, Y, and Z are the environmental complexity interference coefficient, consumability interference coefficient, and weight coefficient respectively, and j k is the length of the kth inspection cycle, and g is the correction coefficient.

[0065] Based on the above equations (1) and (2), the health percentage can be calculated, and then the remaining service life of each device and component can be observed.

[0066] The inspection plan formulation and execution module can automatically generate an inspection form according to the device health score, and give inspection suggestions, including inspection methods, required tools, inspection plan books, corresponding manuals during the inspection process, etc. The system automatically generates an inspection task list according to preset rules and algorithms, and the staff can view and execute the inspection tasks on the mobile terminal.

[0067] The system optimizes the inspection route and task allocation according to the device health, list of faulty devices, and inspection priorities through algorithms or corresponding rules. The inspection plan formulation and execution module can formulate and execute various operation and maintenance strategies, such as device maintenance strategies, troubleshooting strategies, maintenance strategies for devices in important areas, replacement strategies for single-type devices, etc.

[0068] When the inspection plan under the device maintenance strategy is generated intelligently, the system counts all devices and components with a health below 50%, uses GIS technology to construct the best route and gives a task list; by reading the basic information database, quality assurance information database, and point number information, details of all inspection items (each device and component) in this inspection, inspection methods, and indexes of required technical books, fault books, etc. are counted into the task list. The inspection items are planned according to the shortest route to form a task flow sheet and sent to the staff's mobile terminal. At the same time, the system gives maintenance suggestions according to the weather information of the task area or tool requirements, skill requirements, etc. for maintenance. Thus, the staff can receive the daily tasks through the mobile terminal and make work records according to the work situation.

[0069] When the execution plan under the troubleshooting strategy is generated intelligently, the system counts all faulty devices and components, uses GIS technology to construct the best route and gives a task list; by reading the basic information database, quality assurance information database, and point number information, details of all inspection items (each device and component) in this inspection, repair (or replacement) methods, and indexes of required technical books, fault books, quality assurance procedures, etc. are counted into the task list. Provide quality assurance information or links for faulty items within the quality assurance period, and then plan the items to be executed according to the shortest route to form a task flow sheet and send it to the staff's mobile terminal. The system automatically creates a repair device list and an outbound order, and includes the outbound devices in the next cycle's material plan to replenish the inventory. Thus, the staff can receive the daily tasks through the mobile terminal and make work records according to the work situation.

[0070] When the system generates an intelligent execution plan under the equipment maintenance strategy in important areas or the replacement strategy for a single type of equipment, it can count the equipment and components respectively through the classification information of important locations in the equipment installation management module and the classification information of a certain type of equipment in the warehousing management module, and generate a work order (the principle is the same as above).

[0071] The inspection information update and health degree recalculation module can update the correction factors of the equipment involved, re-evaluate the equipment status, and recalculate the health degree based on the inspection records completed by the operation and maintenance personnel according to the work order, as well as the inspection data and maintenance data. That is, through the interconnection between the mobile terminal and the system master control terminal, the operation and maintenance personnel can transmit the inspection data in real time according to the completion options and new equipment management options on the mobile terminal, enter the information of newly installed equipment, and the system recalculates the health degree according to the new data.

[0072] Specifically, after the operation and maintenance personnel complete the inspection task through the mobile terminal, they can select the task completion option and transmit the inspection data (including but not limited to equipment status, maintenance situation, abnormal records, etc.) to the system master control terminal in real time. The system automatically evaluates the difference between the actual service life and the ideal service life of the equipment and components to be maintained this time according to the equipment status and maintenance situation recorded in the inspection data, and dynamically adjusts the correction factor according to this difference. At the same time, the system calls the health degree evaluation module, combines the new correction factor and the expected service life of the newly installed equipment and components, recalculates the health degree of the equipment, and completes the data update within the system.

[0073] The data analysis and optimization module can perform statistical processing on the inspection record information. By inputting historical maintenance data, it optimizes the health value calculation and inspection form according to the historical data. The system is built with data analysis tools to discover the correlation and rules between data through mining technology, and optimizes the interference coefficient, loss coefficient, and correction coefficient of each equipment and component through machine learning and predictive modeling, and optimizes the health degree calculation formula and inspection strategy of this system by adjusting the weights of the parameters.

[0074] The data analysis and optimization module receives in real time including equipment basic information, installation information, health degree evaluation results, inspection records, maintenance records, etc., cleans, integrates, and standardizes these data, and then uses the internal data analysis methods of the system, such as trend analysis, association rule mining, clustering analysis, etc., to identify potential patterns of equipment failures, predict the future health status of equipment, and evaluate the effects of different operation and maintenance strategies.

[0075] For example: Through the analysis of historical failure data, the types of equipment and failure types with frequent failures can be identified, providing a basis for formulating targeted preventive measures; through the analysis of health degree evaluation data, the future health change trend of equipment can be predicted, providing guidance for the formulation of inspection plans.

[0076] Based on the results of data analysis, the module can intelligently put forward optimization suggestions, such as adjusting the inspection cycle, optimizing the maintenance strategy, improving the equipment design, etc. It can improve the reliability of the equipment, extend the service life of the equipment and reduce the operation and maintenance costs. At the same time, the module also supports simulating and evaluating the implementation effect of the operation and maintenance strategy so that the management personnel can select appropriate strategies according to the actual situation.

[0077] The intelligent warehouse management module intelligently formulates inventory strategies according to damage and maintenance frequency, automatically generates replenishment lists and material arrival forms, and improves the efficiency and accuracy of warehouse management.

[0078] The system can automatically record information such as the types and quantities of low-value consumables, equipment, and components used during each inspection process, which serves as the basic data for formulating subsequent replenishment strategies. According to the consumption of materials and equipment in historical inspection records, the system intelligently calculates the average consumption and consumption frequency of each material, and automatically generates replenishment suggestions, including the quantity of each material that needs to be replenished and the replenishment time point. The system automatically generates a replenishment list according to the intelligent replenishment strategy, which details the names, specifications, quantities of the materials that need to be replenished, and the recommended replenishment time and other information. Thus, the module can simplify the warehouse management process, improve the replenishment efficiency and accuracy, and reduce the inventory management cost.

[0079] The information display and report generation module can modularly display the information of all the above modules on the control terminal, and use the GIS system to regionally display the statistical distribution of equipment and components on the terminal display device. The system provides a visual interface, and can query and display information such as device information, health status, inspection plan, daily inspection suggestions, inspection and maintenance shift schedules, task lists, etc. At the same time, the system is built-in with a report generation tool, and can generate various reports according to requirements.

[0080] Thus, the entire system is built based on advanced technologies such as database technology, GIS technology, data mining technology, prediction algorithms, etc. The database technology is used to store data such as device information and inspection records; the GIS technology provides the spatial location information of the device installation points; the data mining technology discovers the correlation and rules between data; the prediction algorithm predicts future demands according to historical data and current trends. Through modular design, the system realizes the collaborative work between each functional module, and realizes the comprehensive, efficient and intelligent management of highway electromechanical equipment.

[0081] Based on the above system modules, a method for intelligent operation and maintenance management of highway electromechanical equipment includes the following steps:

[0082] S1. Information entry and database construction: Based on the warehousing management module, in this step, the management personnel identify and enter the basic information of all mechanical and electrical equipment and their electrical components on the highway at the operation terminal, and use database technology to store this information in the device. Each device and component is assigned a unique number, and an information database is constructed to provide a complete and accurate data basis for subsequent health assessment, inspection plan formulation, etc. Specifically, information entry and database construction include the following specific steps:

[0083] S1.1. Warehousing management: Enter the information of all mechanical and electrical equipment and their electrical components on the highway into the system, including name, model, specification, manufacturer, factory date, equipment life, fault book information, warranty information, etc. Use database technology to store device information, assign a unique number to each device and component, and establish the subordinate relationship between the device and the component.

[0084] S1.2. Construction of the basic information database and the health calculation information database: Integrate the name, model, specification, and manufacturer information of the device and component to generate the basic information database; integrate the factory date and equipment service life information of the device and component to generate the health calculation information database. Integrate the fault book information and warranty information to generate the fault information database and the warranty information database.

[0085] S2. Equipment installation management and point location information entry: This step is implemented based on the equipment installation management module and GIS technology; use GIS technology to record the installation point location of each device and component, mark it on the internal map, and input relevant information such as point location number, consumable degree, importance degree, and environmental complexity. The system assigns a weight coefficient and a depreciation coefficient to the device according to this information. It provides basic data support for subsequent health calculation, depreciation prediction, and inspection plan formulation, and provides necessary preparations for subsequent steps such as health assessment and inspection plan formulation through digital management of the device location information.

[0086] S3. Health assessment and inspection plan formulation: In this step, by collecting information such as the historical operation data, fault records, and maintenance records of the device, combined with the basic information and point location information of the device, use the health assessment model to evaluate the health of the device, and intelligently formulate an inspection plan according to the evaluation results and preset inspection rules. Specifically, health assessment and inspection plan formulation include the following specific steps:

[0087] S3.1. Operation of the health assessment module: Based on the health assessment module, combined with the weight coefficient, depreciation coefficient, interference coefficient, correction coefficient, and the used cycle, calculate the health score of the device: For mechanical and electrical equipment and components on the highway, predict the scrapping years according to the health percentage, set the use cycle to start calculating from the installation of the device, that is, start calculating the subsequent health percentage. The calculation of the health percentage is based on the following formula:

[0088]

[0089] Where: S is the health percentage, X is the expected lifespan, a k is the health loss in the k-th inspection cycle, α k is the correction factor in the k-th inspection cycle, F, Y, and Z are the environmental complexity interference factor, the consumability interference factor, and the weight coefficient respectively, j k is the length of the k-th inspection cycle, and g is the correction factor.

[0090] Among them, the interference factors are obtained from the real-time weather data and other operating environment indicators acquired by the GIS system, and are calculated and analyzed using the entropy value method for weight. The correction factor is obtained based on historical failure information and maintenance history information, and is used to correct the difference between the ideal service life and the actual service life.

[0091] S3.2, Intelligent formulation of inspection plans; realized based on the inspection plan formulation and execution module, automatically formulate an inspection form according to the equipment health score, and give inspection suggestions, including inspection methods, required tools, inspection plan documents, etc.

[0092] S4, Inspection execution and health recalculation; realized based on the inspection plan formulation and execution module, the inspection information update and health recalculation module. Inspection execution is carried out by the operation and maintenance personnel according to the inspection task list generated by the system, complete on-site inspections and record data. Subsequently, the system updates the correction factor of the equipment, re-evaluates the equipment status, and recalculates the health according to these new data. Thus, the real-time tracking and accurate assessment of the actual operating status of the equipment are realized, potential problems of the equipment can be discovered and solved in a timely manner, the normal operation of highway electromechanical equipment is ensured, the efficiency and accuracy of operation and maintenance management are improved, and thus the safety, smoothness, and efficient operation of the highway are guaranteed. Specifically, it includes the following specific steps:

[0093] S4.1, Inspection task execution; the staff view and execute the inspection tasks on the mobile terminal, and perform inspection operations according to the inspection suggestions; during the inspection process, record inspection data such as equipment status, maintenance conditions, and abnormal records.

[0094] S4.2, Health recalculation and correction factor update; the inspection information update and health recalculation module updates the correction factor according to the inspection data, combined with the new correction factor and the expected lifespan of newly installed equipment and components, re-evaluates the equipment status, and recalculates the health.

[0095] S4.3, Warehouse Intelligent Management; Through the warehouse intelligent management module, inventory and replenishment strategies are intelligently formulated based on information such as the types and quantities of low-value consumables, equipment, and components used during the inspection process. That is, the system automatically records the consumption of materials, calculates the average consumption and consumption frequency of each material, and automatically generates a replenishment form, including information such as name, specification, replenishment quantity, and replenishment time point. An automatic replenishment form is generated, listing in detail the names, specifications, quantities of materials that need to be replenished, as well as information such as the recommended replenishment time.

[0096] S5, Data Analysis and Optimization; In this step, the inspection record information is statistically processed based on the data analysis and optimization module to explore the correlations and patterns between data, and then the optimization space is identified, and optimization suggestions are intelligently proposed, such as adjusting the inspection cycle and optimizing the maintenance strategy. Thus, the root cause of the problem is accurately located, the scientificity and effectiveness of decision-making are improved, the operation efficiency is increased, and the cost is reduced.

[0097] S6: Information Display and Report Generation. Based on the information display and report generation module, the information of all the above modules is modularly displayed on the control terminal, and the statistical distribution of equipment and components is regionally displayed on the terminal display device using the GIS system. Through the built-in report generation tool of the system, various types of reports can be generated according to requirements, such as equipment information reports, health reports, inspection plan reports, etc.

[0098] Certainly, the present invention may also have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art can make various corresponding changes and deformations according to the present invention, but these corresponding changes and deformations should all fall within the protection scope of the appended claims of the present invention.

Claims

1. A method for intelligent operation and maintenance management of highway electromechanical systems, characterized in that, It includes the following steps: S1. Information input and database construction: Identify and input the basic information of all mechanical and electrical equipment and their electrical components on the highway on the operation terminal, and store this information in the system using database technology; S2. Equipment installation management and point location information input: Based on GIS technology, record the installation point locations of each equipment and component, input the point location numbers, consumable degrees, importance degrees, and environmental complexities, and assign weight coefficients and depreciation coefficients to the equipment; S3. Health assessment and inspection plan formulation: Combine the basic information, point location information, historical operation data, fault records, and maintenance records of the equipment to evaluate the health of the equipment, and formulate an inspection plan according to the evaluation results and preset inspection rules; S4. Inspection execution and health recalculation; The staff completes the on-site inspection and records the data according to the inspection task list generated by the system. Subsequently, the system updates the correction coefficient of the equipment based on the new data, re-evaluates the equipment status, and recalculates the health; S5. Data analysis and optimization: Statistically process the inspection record information, mine the correlations and rules between the data, and then identify the optimization space and intelligently put forward optimization suggestions; S6: Information display and report generation: Modularly display the information on the control terminal, and use the GIS system to regionally display the statistical distribution of the equipment and components on the terminal display device.

2. The method for intelligent operation and maintenance management of highway electromechanical systems according to claim 1, wherein The step S1 includes the following specific steps: S1.

1. Warehousing management: Input the information of all mechanical and electrical equipment and their electrical components on the highway into the system, including name, model, specification, manufacturer, factory date, equipment life, fault book information, and warranty information. Store the equipment information using database technology, assign an independent number to each equipment and component, and establish the subordinate relationship between the equipment and the components; S1.

2. Construction of the basic information database and the health calculation information database: Generate the basic information database, the health calculation information database, the fault information database, and the warranty information database.

3. The method for intelligent operation and maintenance management of highway electromechanical systems according to claim 1, characterized in that The step S3 includes the following specific steps: S3.

1. Operation of the health assessment module: Combine the weight coefficient, depreciation coefficient, interference coefficient, correction coefficient, and the used cycle to calculate the health score of the equipment; S3.

2. Intelligent formulation of the inspection plan; Automatically formulate an inspection form according to the equipment health score, and give inspection suggestions, including inspection methods, required tools, and inspection plan documents.

4. The intelligent operation and maintenance management method for highway electromechanical systems according to claim 3, wherein The specific method for calculating the health score in the step S3.1 is as follows: For mechanical and electrical equipment and components on the highway, predict the scrapping years according to the health percentage. It is set that the use cycle is calculated since the equipment is installed, that is, the health percentage is calculated thereafter. The calculation of the health percentage is based on the following formula: Where: S is the health percentage, X is the expected lifespan, a k is the health loss in the k-th inspection cycle, α k is the correction coefficient in the k-th inspection cycle, F, Y, and Z are the environmental complexity interference coefficient, the consumability interference coefficient, and the weight coefficient respectively, j k is the length of the k-th inspection cycle, and g is the correction coefficient.

5. The intelligent operation and maintenance management method for highway electromechanical systems according to claim 3, characterized in that, The interference coefficient is obtained through real-time weather data and other operating environment indicators acquired by the GIS system, and is calculated and analyzed using the entropy method weight.

6. The method for intelligent operation and maintenance management of highway electromechanical systems according to claim 1, wherein The specific steps in the step S4 are as follows: S4.

1. Inspection task execution: The staff views and executes the inspection task on the mobile terminal, and conducts inspection operations according to the inspection suggestions; during the inspection process, record inspection data such as equipment status, maintenance conditions, and abnormal records; S4.

2. Health recalculation and correction coefficient update; The inspection information update and health degree recalculation module updates the correction factor according to the inspection data, combines the new correction factor and the expected service life of the newly installed equipment and components, re-evaluates the equipment status, and recalculates the health degree.

7. The method for intelligent operation and maintenance management of highway electromechanical systems according to claim 1, wherein The step S4 further includes the following steps: S4.3, Warehouse intelligent management; The system automatically records the consumption of materials, calculates the average consumption and consumption frequency of each material, and automatically generates a replenishment form, including name, specification, replenishment quantity and replenishment time point, and automatically generates a replenishment form.

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