CN117670305A - Management system for high-low voltage distribution equipment maintenance or overhaul - Google Patents
Management system for high-low voltage distribution equipment maintenance or overhaul Download PDFInfo
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Abstract
The invention discloses a management system for maintenance or overhaul of high and low voltage power distribution equipment, and relates to the technical field of power distribution management. The invention comprises the following steps: and the data acquisition and detection module is used for: the method comprises the steps of monitoring operation data of high-low voltage distribution equipment; intelligent analysis and prediction module: receiving data sent by a data acquisition and detection module, and analyzing equipment data by utilizing a big data analysis technology; maintenance task management module: the maintenance system is used for making and adjusting maintenance plans and assigning maintenance tasks to corresponding maintenance personnel; a blockchain data management module: by establishing a trusted maintenance record database, the invention can predict the possible faults of equipment and give an alarm in advance. The method is favorable for timely taking measures, avoiding loss and downtime caused by equipment faults, generating a reasonable maintenance plan according to the health state evaluation and fault prediction results of the equipment, automatically managing and distributing resources required by maintenance, and improving the maintenance work efficiency.
Description
Technical Field
The invention relates to the technical field of power distribution management, in particular to a management system for high-low voltage power distribution equipment maintenance or overhaul.
Background
A high-low voltage power distribution device is an electrical device for delivering power to different consumers. It mainly comprises high-voltage switch equipment and low-voltage switch equipment. Maintenance or overhaul of the equipment is required during its operation.
The Chinese patent document with the publication number of CN107623380A discloses a management system for maintenance or overhaul of high-low voltage distribution equipment, which comprises high-low voltage distribution equipment to be maintained, a remote server, a control computer, a personnel management device and a handheld terminal, wherein the high-low voltage distribution equipment to be maintained is provided with a connecting mechanism matched with the handheld terminal, the handheld terminal is connected with the remote server through a wireless transmission module, the control computer is connected with the remote server, and the control computer is connected with the personnel management device. Aiming at the technical scheme, the following defects exist in use: the existing system has hysteresis in overhaul, can only wait for specific faults to be carried out, and needs special personnel to carry out task allocation when maintenance and overhaul tasks are executed, so that the allocation process is troublesome, and automatic task arrangement is difficult to carry out according to actual conditions of personnel.
Therefore, a management system for maintaining or overhauling high-low voltage distribution equipment is provided.
Disclosure of Invention
The invention aims at: in order to solve the problems mentioned in the background art, the invention provides a management system for maintaining or overhauling high-low voltage power distribution equipment.
The invention adopts the following technical scheme for realizing the purposes: a management system for maintenance or overhaul of high and low voltage power distribution equipment, comprising:
and the data acquisition and detection module is used for: the method comprises the steps of monitoring operation data of high-low voltage distribution equipment;
intelligent analysis and prediction module: receiving data sent by a data acquisition and detection module, and analyzing equipment data by utilizing a big data analysis technology;
maintenance task management module: the maintenance system is used for making and adjusting maintenance plans and assigning maintenance tasks to corresponding maintenance personnel;
a blockchain data management module: establishing a trusted maintenance record database to provide support for the storage and management of maintenance records in a maintenance task management module;
and the autonomous learning and optimizing module: the system has autonomous learning ability;
mobile terminal application and cloud service module: and providing a viewing and operation inlet of the data for the user, and synchronizing the data to the cloud.
Further, the maintainer carries a wearable device and a remote support module with him, wherein the wearable device is an intelligent glasses or a handheld device.
Further, the data acquisition and monitoring module comprises a sensor data acquisition sub-module, a data storage and management sub-module, an abnormal data early warning sub-module and a data transmission and communication sub-module. The sensor data acquisition sub-module acquires equipment parameters through various sensors, the data storage and management sub-module is used for receiving data transmitted by the sensors, storing, arranging and managing the data, ensuring the integrity and reliability of the data, and the abnormal data early warning sub-module carries out abnormal early warning through monitoring data change.
Further, the maintenance task management module comprises a task planning sub-module, a task scheduling sub-module, a resource management sub-module, a task execution sub-module and a performance evaluation sub-module, wherein the task planning sub-module is used for generating and managing equipment maintenance task plans, the task scheduling sub-module is used for distributing tasks to corresponding maintenance personnel or teams and carrying out task scheduling and coordination, the resource management sub-module is used for managing and distributing resources required by maintenance, the task execution sub-module is used for supervising and managing the execution process of the maintenance tasks, and the performance evaluation sub-module is used for evaluating and feeding back the execution effect of the maintenance tasks.
Further, the intelligent analysis and prediction module comprises a data analysis sub-module, a health status evaluation sub-module, a fault prediction sub-module, a maintenance plan generation sub-module and a system optimization sub-module.
Further, the blockchain data management module is internally provided with an identity authentication and authority management function.
The beneficial effects of the invention are as follows:
the invention can predict the possible faults of the equipment and give an alarm in advance by collecting and analyzing the operation data of the equipment. The system is beneficial to timely taking measures, avoiding loss and downtime caused by equipment faults, and generating a reasonable maintenance plan according to the health state evaluation and fault prediction results of the equipment. Thus, maintenance resources can be utilized to the greatest extent, maintenance efficiency and accuracy are improved, and the system can manage and allocate resources such as manpower, equipment, tools and the like required by maintenance. The system is beneficial to reasonably arranging the utilization of resources, optimizing the execution sequence and time of maintenance tasks, improving the efficiency of maintenance work, monitoring and managing the execution process of the maintenance tasks and providing real-time task execution status reports. The method is favorable for timely processing abnormal conditions, improves the quality and accuracy of task execution, and can evaluate and feed back the execution effect of maintenance tasks and collect and analyze the data and indexes of task execution. This helps to provide performance assessment reports and improvement suggestions, constantly optimizing the effectiveness and quality of maintenance task management.
Drawings
FIG. 1 is a schematic diagram of a system architecture of the present invention;
FIG. 2 is a schematic diagram of a data acquisition and monitoring module according to the present invention;
FIG. 3 is a schematic diagram of a maintenance task management module according to the present invention;
FIG. 4 is a schematic diagram of the intelligent analysis and prediction module according to the present invention;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
The electrical components are all connected with an external main controller and 220V mains supply, and the main controller can be conventional known equipment for controlling a computer and the like.
In describing embodiments of the present invention, it should be noted that the directions or positional relationships indicated by the terms "inner", "outer", "upper", etc. are directions or positional relationships based on those shown in the drawings, or those that are conventionally put in place when the inventive product is used, are merely for convenience of description and simplification of description, and are not indicative or implying that the apparatus or element in question must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
As shown in fig. 1 to 4, a management system for maintenance or overhaul of high and low voltage power distribution equipment includes:
and the data acquisition and detection module is used for: the method comprises the steps of monitoring operation data of high-low voltage distribution equipment; the module is responsible for monitoring the operation data of the high-low voltage distribution equipment in real time, including the collection of parameters such as current, voltage, temperature and the like, and storing and managing the data. Meanwhile, the method can also perform abnormal data early warning through the set threshold value so as to discover equipment operation abnormality in time and take corresponding measures, thereby providing basic data for subsequent data analysis and prediction.
Intelligent analysis and prediction module: receiving data sent by a data acquisition and detection module, and analyzing equipment data by utilizing a big data analysis technology; and analyzing the data in the data acquisition module by utilizing a big data analysis technology, evaluating the health state of the equipment, and predicting possible faults. Based on the analysis result, the system can generate a maintenance plan, schedule maintenance work in advance, and reduce shutdown loss caused by sudden faults.
Maintenance task management module: the maintenance system is used for making and adjusting maintenance plans and assigning maintenance tasks to corresponding maintenance personnel; the module is responsible for making and adjusting maintenance plans, assigning maintenance tasks to corresponding maintenance personnel, and tracking and recording task execution. In addition, the system can manage maintenance records, including maintenance content, maintenance time and other information, and provides basis for maintenance work.
A blockchain data management module: establishing a trusted maintenance record database to provide support for the storage and management of maintenance records in a maintenance task management module; the module ensures the security and the non-tamper property of the maintenance record by using the blockchain technology, establishes a trusted maintenance record database, improves the traceability and the transparency of the data, and reduces the cost of data management.
And the autonomous learning and optimizing module: the system has autonomous learning ability; the maintenance strategy can be continuously optimized according to the operation data and the maintenance history of the equipment, and the intelligent level of the system is improved, so that the maintenance efficiency and accuracy are gradually improved.
Mobile terminal application and cloud service module: and providing a viewing and operation inlet of the data for the user, and synchronizing the data to the cloud. The module comprises the development of mobile terminal application, so that maintainers can check equipment information, record and input maintenance records, inquire and the like at any time and any place, and synchronize data to the cloud in real time, thereby being convenient for management and analysis. In addition, the module is an interface of the whole system, provides a data viewing and operation inlet for a user, synchronizes the data to the cloud, and provides data sharing and management support for other modules.
The maintainer carries the wearable device and the remote support module with him, and the wearable device is intelligent glasses or a handheld device. The maintainer wears wearable equipment, such as intelligent glasses or handheld equipment, and is used for monitoring equipment states in real time, receiving maintenance operation guidance, realizing remote expert support and improving maintenance efficiency and accuracy.
The data acquisition and monitoring module comprises a sensor data acquisition sub-module, a data storage and management sub-module, an abnormal data early warning sub-module and a data transmission and communication sub-module. The sensor data acquisition sub-module acquires equipment parameters through various sensors, the data storage and management sub-module is used for receiving data transmitted by the sensors, storing, arranging and managing the data, ensuring the integrity and reliability of the data, and the abnormal data early warning sub-module carries out abnormal early warning by monitoring the change of the data. The sensor data acquisition sub-module is responsible for arranging various sensors, such as a current sensor, a voltage sensor, a temperature sensor and the like, and is used for monitoring various parameters of the high-low voltage distribution equipment in real time and transmitting acquired data to the system. The data storage and management sub-module also relates to a database management system or other data management tool. The abnormal data early warning sub-module monitors the change condition of the data by setting reasonable threshold values and rules, and carries out early warning and alarm processing on the possible abnormal condition so as to discover the abnormal operation of the equipment in time and take corresponding measures. Data transmission and communication sub-module: the collected data is transmitted to other modules, wherein technologies related to a network communication protocol, a data transmission protocol and the like are prior art, and are not described herein.
The maintenance task management module comprises a task planning sub-module, a task scheduling sub-module, a resource management sub-module, a task execution sub-module and a performance evaluation sub-module, wherein the task planning sub-module is used for generating and managing equipment maintenance task plans, the task scheduling sub-module is used for distributing tasks to corresponding maintenance personnel or groups and carrying out task scheduling and coordination, the resource management sub-module is used for managing and distributing resources required by maintenance, the task execution sub-module is used for supervising and managing the execution process of maintenance tasks, and the performance evaluation sub-module is used for evaluating and feeding back the execution effect of the maintenance tasks. The task scheduling submodule can be used for preparing a reasonable maintenance plan according to the health state evaluation and fault prediction results of the equipment and other factors, scheduling the execution time and sequence of the tasks, and the task scheduling submodule can be used for reasonably scheduling the execution sequence and time of the tasks by considering the skills and the workload of maintenance personnel so as to ensure that the tasks can be completed on time. Resources managed by the resource management submodule include manpower, equipment, tools and the like. The method can monitor the availability and the utilization condition of the resources, and reasonably allocate and allocate the resources according to the task demands so as to ensure the smooth progress of maintenance tasks. The task execution sub-module can track the progress and state of the task, record the execution condition and result of the task, process abnormal conditions in time and provide real-time task execution condition reports. The performance evaluation sub-module collects and analyzes data and indexes of task execution, such as task completion time, quality and the like, and provides corresponding feedback and improvement suggestions according to the evaluation result so as to improve the efficiency and quality of maintenance task management.
The intelligent analysis and prediction module comprises a data analysis sub-module, a health state evaluation sub-module, a fault prediction sub-module, a maintenance plan generation sub-module and a system optimization sub-module. The data analysis sub-module is used for analyzing the data in the data acquisition and monitoring module, and various algorithms and technologies such as statistical analysis, machine learning, deep learning and the like are used for extracting useful information and modes, and the health state evaluation sub-module evaluates the health state of the high-low voltage power distribution equipment according to the result of the data analysis. It can judge whether equipment is normal running, whether there is potential fault risk, and provide corresponding index or score to indicate the health degree of equipment. The fault prediction sub-module predicts a possible equipment fault using a prediction algorithm and a model based on the result of the data analysis and the historical data. It can identify potential failure modes and raise alarms in advance to take preventive measures or schedule maintenance work to avoid the occurrence of failures and the occurrence of losses. The maintenance plan generation sub-module generates a reasonable maintenance plan according to the results of the health state evaluation and the fault prediction of the equipment. Taking into account the priority and importance of the equipment, the availability of maintenance resources, and other factors, helps to create an efficient and economical maintenance plan. The system optimization submodule continuously learns and optimizes the analysis and prediction model from actual maintenance operation and results by using a feedback mechanism and an autonomous learning technology. By continuously improving the algorithm and the model, the accuracy and the intelligent level of the system are improved so as to better support equipment maintenance work.
The block chain data management module is internally provided with an identity authentication and authority management function. And the identity information and the authority of the user are managed and controlled through the identity authentication and the authority management functions. This helps to protect the security of the data against unauthorized access and tampering.
To sum up: by collecting and analyzing the operation data of the equipment, the system can predict the possible faults of the equipment and give an alarm in advance. The system is beneficial to timely taking measures, avoiding loss and downtime caused by equipment faults, and generating a reasonable maintenance plan according to the health state evaluation and fault prediction results of the equipment. Thus, maintenance resources can be utilized to the greatest extent, maintenance efficiency and accuracy are improved, and the system can manage and allocate resources such as manpower, equipment, tools and the like required by maintenance. The system is beneficial to reasonably arranging the utilization of resources, optimizing the execution sequence and time of maintenance tasks, improving the efficiency of maintenance work, monitoring and managing the execution process of the maintenance tasks and providing real-time task execution status reports. The method is favorable for timely processing abnormal conditions, improves the quality and accuracy of task execution, and can evaluate and feed back the execution effect of maintenance tasks and collect and analyze the data and indexes of task execution. This helps to provide performance assessment reports and improvement suggestions, constantly optimizing the effectiveness and quality of maintenance task management.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. A management system for maintenance or overhaul of high and low voltage power distribution equipment, comprising:
and the data acquisition and detection module is used for: the method comprises the steps of monitoring operation data of high-low voltage distribution equipment;
intelligent analysis and prediction module: receiving data sent by a data acquisition and detection module, and analyzing equipment data by utilizing a big data analysis technology;
maintenance task management module: the maintenance system is used for making and adjusting maintenance plans and assigning maintenance tasks to corresponding maintenance personnel;
a blockchain data management module: establishing a trusted maintenance record database to provide support for the storage and management of maintenance records in a maintenance task management module;
and the autonomous learning and optimizing module: the system has autonomous learning ability;
mobile terminal application and cloud service module: and providing a viewing and operation inlet of the data for the user, and synchronizing the data to the cloud.
2. The management system for high and low voltage power distribution equipment maintenance or overhaul according to claim 1, wherein the overhaul personnel carry wearable equipment and a remote support module with them, and the wearable equipment is intelligent glasses or handheld equipment.
3. The system of claim 1, wherein the data acquisition and monitoring module comprises a sensor data acquisition sub-module, a data storage and management sub-module, an abnormal data early warning sub-module and a data transmission and communication sub-module. The sensor data acquisition sub-module acquires equipment parameters through various sensors, the data storage and management sub-module is used for receiving data transmitted by the sensors, storing, arranging and managing the data, ensuring the integrity and reliability of the data, and the abnormal data early warning sub-module carries out abnormal early warning through monitoring data change.
4. A management system for maintenance or overhaul of high and low voltage power distribution equipment according to claim 3, wherein the maintenance task management module comprises a task planning sub-module, a task scheduling sub-module, a resource management sub-module, a task execution sub-module and a performance evaluation sub-module, the task planning sub-module is used for generating and managing equipment maintenance task plans, the task scheduling sub-module is used for distributing tasks to corresponding maintenance personnel or groups and carrying out task scheduling and coordination, the resource management sub-module is used for managing and distributing resources required for maintenance, the task execution sub-module is used for supervising and managing the execution process of maintenance tasks, and the performance evaluation sub-module is used for evaluating and feeding back the execution effect of the maintenance tasks.
5. The system for managing maintenance or overhaul of high and low voltage power distribution equipment according to claim 4, wherein the intelligent analysis and prediction module comprises a data analysis sub-module, a health status evaluation sub-module, a fault prediction sub-module, a maintenance plan generation sub-module and a system optimization sub-module.
6. The management system for maintenance or overhaul of high and low voltage power distribution equipment according to claim 1, wherein the blockchain data management module is internally provided with an identity authentication and authority management function.
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| CN202311716658.8A CN117670305A (en) | 2023-12-13 | 2023-12-13 | Management system for high-low voltage distribution equipment maintenance or overhaul |
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| CN202311716658.8A CN117670305A (en) | 2023-12-13 | 2023-12-13 | Management system for high-low voltage distribution equipment maintenance or overhaul |
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