518 results about "System maintenance" patented technology

The invention discloses a high-precision current detection circuit calibration system, and belongs to the technical field of current detection circuit calibration. Comprising a shunt resistor, a Hall sensor array, a chopping amplifier, a low-noise operational amplifier, a temperature sensor, an ADC acquisition unit, an RC low-pass filter, a signal conditioning unit, a main control unit, an environmental parameter adaptive compensation module and a gain adaptive adjustment module. After an original signal is obtained from a multi-channel sensor, a dynamic error model is constructed in combination with temperature data, a long-term imbalance trend is extracted by using a moving average or median filtering algorithm, and real-time compensation is performed through a pre-calibrated temperature-drift function, so that the system maintenance period is remarkably prolonged.

The application relates to the technical field of text label marking, and provides a text specification marking method and system based on a rule corpus, which comprises the following steps: analyzing a policy and regulation document, identifying and marking condition morphemes and conclusion morphemes in the policy and regulation document, constructing a logical relationship between the two by using a large language model, and forming a rule corpus composed of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on a verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking semantic vectors as features and multi-labels as targets, so that a text specification marking model is obtained; and automatically marking target text by using the model. The application significantly improves the accuracy, interpretability and business adaptability of text marking, improves the update quality of a system label data set, and reduces the system maintenance cost.

The invention relates to the technical field of text label marking, and provides a text standard marking method and system based on a rule corpus, and the method comprises the steps: analyzing a policy and regulation file, recognizing and marking a condition morpheme and a conclusion morpheme in the policy and regulation file, constructing a logic relation between the condition morpheme and the conclusion morpheme by using a large language model, and marking the rule corpus; forming a rule corpus consisting of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on the verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking the semantic vector as a feature and taking multiple tags as a target to obtain a text specification marking model; and automatically marking the target text by using the model. According to the method, the accuracy, the interpretability and the service adaptability of text marking are remarkably improved, the updating quality of the system label data set is improved, and the system maintenance cost is reduced.

The invention discloses a battery energy storage system predictive maintenance method and system based on a large language model, and relates to the field of battery energy storage system predictive maintenance, and the method comprises the following steps: collecting multi-modal sensor time sequence data of a battery energy storage system, and carrying out the interception through a sliding window to obtain a multi-modal sensor time sequence data fragment; inputting the time series data fragments of the multi-modal sensor into a large language model for feature extraction to obtain a probabilistic semantic tag set; the probabilistic semantic tag set analyzes a causal relationship between probabilistic semantic tags through a fault mode correlator, and calculates to obtain a dynamic risk score and a recommendation action; and adjusting operation parameters of the battery energy storage system according to the dynamic risk score, and executing the recommended action at the same time to realize predictive maintenance of the battery energy storage system. According to the invention, the problem of lack of real-time dynamic labeling during maintenance of the battery energy storage system in the prior art can be solved.

The invention discloses a power grid space image fine labeling method, system and device based on SAM semantic segmentation and a medium, and belongs to the technical field of power system maintenance, and the method comprises the steps: obtaining an initial device label through semantic segmentation model labeling; generating probability distribution of power grid equipment categories through the satellite image, and obtaining a final equipment label through the probability distribution of the power grid equipment categories; collecting defect information of the power grid equipment to generate a defect report, and marking the machine patrol image through the semantic segmentation model in combination with the defect report to obtain a defect mark; correcting the final equipment label and the defect label, and training the semantic segmentation model; according to the method, the semantic segmentation model is combined with the probability distribution of the power grid equipment category, the equipment characteristics in the satellite image under the complex background are extracted, and the image processing capability and the marking accuracy are improved; manual intervention is reduced through entropy value screening data calculation and self-training iteration logic, the labeling and maintenance cost is reduced, and the requirements of a power grid for the image recognition accuracy and the automation degree are met.

The invention discloses urban sewage deep purification equipment capable of dynamically intercepting and feeding back and a purification treatment method.The urban sewage deep purification equipment comprises a reaction tank, a reaction device is fixedly installed in the reaction tank, connecting pipes are symmetrically and fixedly installed on one side of the reaction tank, and one end of each connecting pipe is connected with the reaction device in a matched mode; the water inlet unit is fixedly mounted at the top of one end of the reaction tank. Through the arrangement of the start-stop mechanism, water inflow can be rapidly cut off, sewage and suspended solids are prevented from continuously flowing into the reaction tank, stable operation of the subsequent purification process is effectively protected, time can be bought for workers to clean the suspended solids in the filter frame, the frequency and strength of manual inspection are reduced, meanwhile, the water inflow time is accurately controlled, and the efficiency is improved. Equipment damage caused by excessive blockage of the filter frame can be avoided, the service life of the filter assembly is prolonged, the maintenance cost of the system is reduced, and efficient, stable and low-consumption operation of the whole sewage purification system is guaranteed.

The invention discloses a transmission tower material missing detection method and device based on three-dimensional point cloud data, and belongs to the technical field of power system maintenance, and the method comprises the steps: obtaining the three-dimensional point cloud data of a transmission tower, and carrying out the denoising and thinning processing; classifying the three-dimensional point clouds; different tower material components are separated from the tower point cloud categories by adopting a clustering algorithm, the tower is disassembled into independent tower material components, and geometric parameters are marked; positioning intersection points of the tower material components, screening density peak points as candidate nodes, and verifying the number of the tower material components connected with the candidate nodes and geometric included angle conditions; the three-dimensional point cloud is converted into a topological graph with nodes and edges connected, and it is ensured that the topological graph meets the engineering standard through rule verification; detecting the topological graph based on a preset rule; and for the detected abnormal nodes / edges, reversely deducing theoretical positions and parameters of missing tower material components, generating a three-dimensional visual report and marking missing positions. According to the method, the limitation of traditional manual tower material identification is broken through, and the detection efficiency and reliability are improved.

The invention relates to the technical field of artificial intelligence, and discloses a heat meter energy consumption behavior abnormity identification method based on a graph neural network, and the method comprises the steps: carrying out the collection and preprocessing of multi-dimensional data; constructing a three-dimensional unified representation model comprising a graph topology encoder, a time domain sequence encoder and a frequency domain feature encoder; a time-frequency joint attention mechanism is realized, and tiny abnormal sensitivity and anti-noise stability are dynamically balanced; constructing a hierarchical self-encoding network, and calculating a reconstruction error on a plurality of abstract hierarchies; calculating an anomaly score based on the reconstruction error distribution characteristics in the unified representation space, and generating an anomaly interpretation report; and optimizing and deploying the model. According to the method, time domain, frequency domain and graph domain information are organically fused, and the detection accuracy rate reaches 95% or above; tiny abnormal signals can be captured, and the abnormal early warning time is advanced to 15-20 days; the false alarm rate is controlled below 3% while high detection sensitivity is maintained; the parameter quantity is reduced by 40%, the calculation complexity is reduced by 58%, and the system maintenance cost is greatly reduced.

The invention relates to the technical field of fault maintenance, and particularly provides an intelligent decision-making system for fault maintenance of multi-type loading and unloading equipment of an ore wharf, which comprises an acquisition and transmission module, a cleaning and extraction module, a fault diagnosis module, a fault pre-control module, a graded early warning module, a resource scheduling module and a system maintenance module. The full-dimensional monitoring of the equipment state can sensitively capture tiny abnormities in the operation of the equipment, find early fault symptoms of bearing wear and hydraulic oil degradation in advance, change the problem of high omission ratio of traditional manual inspection, strive for sufficient processing time for equipment maintenance, enable the equipment maintenance to be changed from dependence on artificial experience to data support, and improve the equipment maintenance efficiency. And the diagnosis efficiency and the prediction accuracy are greatly improved. The problem of conflicts in traditional resource scheduling is effectively solved, reasonable configuration of maintenance resources is achieved, the fault processing period is shortened, the overall efficiency of operation and maintenance of wharf equipment is improved, accurate control over the equipment state is kept, and the method adapts to dynamic changes of operation scenes of multiple types of loading and unloading equipment of an ore wharf.

The invention discloses a business processing method and device based on micro-service, electronic equipment and a storage medium, relates to the technical field of data processing, and compared with the related technology, according to the application, insurance business requests are accurately distributed to corresponding micro-service modules according to the types of the insurance business requests, so that different types of businesses are independently processed by special modules; decoupling and specialized division of system functions are realized, and mutual dependence among modules is reduced, so that the technical problems of high system coupling degree, high maintenance cost, low task processing efficiency and performance bottleneck during high concurrency in the existing insurance service system can be solved; the technical effects of improving the insurance service processing efficiency, reducing the system maintenance cost, enhancing the ability of the system to deal with high-concurrency services, and further improving the insurance service processing quality and the customer experience are achieved.

The invention discloses a toughness-driven underwater production system on-condition maintenance decision optimization method and system, and belongs to the field of underwater production system maintenance decision, and the method comprises the steps: predicting the remaining service life of a system, modeling the natural degradation performance of a component based on Weibull distribution, and quantifying the random impact degradation amount by combining a Poisson-normal impact model; performing superposition calculation on the total degradation performance of the system and predicting the remaining service life; predicting oil and gas yield, and fitting historical yield data by adopting an I-type generalized mathematical model; performing real-time toughness evaluation, fusing technical indexes and economic indexes, and calculating a comprehensive toughness value through a performance retention function and a yield stability function; and maintenance decision optimization: taking the real-time toughness value as an input variable, establishing a dual-objective decision model for maximizing the system toughness and minimizing the maintenance cost, and solving an optimal maintenance trigger threshold by adopting a multi-objective optimization algorithm, the maintenance decision is driven through the toughness index, and the reliability and economical efficiency of the underwater production system are effectively improved.

The embodiment of the invention provides a multi-agent-based attack simulation system and method and electronic equipment, and the system comprises an asset detection agent which is used for processing obtained server-side data so as to generate structured environment summary information; the retrieval agent communicates with the asset agent and is used for receiving the environment summary information sent by the asset detection agent, matching known vulnerability information based on the environment summary information and generating a vulnerability utilization execution plan; the execution agent communicates with the retrieval agent and is used for simulating an attack by utilizing an execution plan based on the received vulnerability in the target environment and determining a vulnerability processing result; and the report agent is used for generating a simulation attack report based on the vulnerability processing result and displaying the simulation attack report. According to the technical scheme, the intelligent agents based on various processing functions cooperatively process the penetration testing process, intelligent decision making of penetration testing is achieved, the task processing efficiency and accuracy are improved, manual screening is reduced, and the system maintenance and development cost is reduced.

The invention discloses a multi-language internationalization translation method and system, a medium and equipment, and is applied to a distributed control system.The method comprises the steps that a background processing program reads a user visible text wrapped by an internationalization identifier in a source file and stores the user visible text as a json file; the automatic translation large model translates the user visible text to obtain the translated user visible text, and the background processing program stores the translated user visible text into the json file again; when the distributed control system runs based on a source code, automatically loading a dynamic library, matching a user visible text required to be translated of an internationalized identifier package with a json file, and displaying the user visible text required to be translated as a translated user visible text based on a result returned after matching, the multi-language version can be obtained without modifying a large number of source codes, the system language switching efficiency is improved, the labor cost is reduced, and the system maintenance efficiency is improved.

The invention relates to the technical field of information systems, discloses an intelligent workflow management platform for a free form, and aims to solve the problems that in traditional workflow management, a form structure is tightly coupled with process logic, and the intelligent level and compliance are not guaranteed enough. The platform comprises a form editor module, a free form analysis module, a flow path generation module, a collaborative adjustment module and an intelligent recommendation module. By adopting the technical scheme, the flexibility of form configuration, the intelligent level of workflow generation and the compliance guarantee capability can be improved, and the complexity and the operation risk of system maintenance are reduced.

The invention discloses an application method and equipment of an expandable multi-mode switching embedded software framework, and relates to the field of embedded software development, and the method comprises the following steps: by taking a mode scheduler as a core, defining and registering a mode object through an expandable mode standard interface; the mode scheduler executes the starting function of the initial mode and circularly executes the running function of the current mode, and the parameter manager manages parameters. When the fault detection processor detects a fault and sends a switching request, the mode scheduler calls a switching feasibility judgment function of the current mode to make a decision; and if so, executing old mode exit cleaning, parameter synchronization, new mode starting preparation, fault detection mounting and parameter loading, and putting into operation. According to the method, plug and play of the mode is realized, code modification is limited in the mode, and the mode content is managed and controlled in a centralized manner, so that the system maintenance cost is reduced, the expandability and the stability are improved, and safe and smooth switching and isolation management between the modes are realized.

The invention belongs to the field of computer software and system maintenance, and particularly discloses a software state management and upgrading method and system supporting multi-mode deployment, and the method comprises the steps: collecting a service operation state and resource use data of software, carrying out the comprehensive research and judgment of the service operation state, storing the service operation state, and carrying out the service restart based on a research and judgment result; receiving the software package, calculating a check code of the software package, and storing and recording the information data of the software package, the check code and the storage path in a database based on a preset path; a software upgrading instruction sent by a front end is received, the storage path of the target software package and the stored check code are obtained from the database, and the integrity of the target software package is checked; and deploying the target software package to a specified path, recording upgrading information, and closing the old version service to start the new version service. The operation and maintenance efficiency and safety of software management can be improved.

The invention discloses an automatic data calculation method and system based on configuration driving, relates to the technical field of automation of configuration driving, and solves the problems that although standardized data acquisition of multi-source heterogeneous equipment is realized in the prior art, data calculation modeling depends on hard coding; the same function is difficult to reuse so that the development period is long; computational logic is embedded in a program, debugging and modification are difficult, system retransmission is needed for demand change, and the maintenance cost is high; the technical problems that a large amount of manual intervention exists in a calculation link, rules cannot be dynamically adapted according to field requirements, system universality and expandability are poor, project efficiency is restricted, and multi-scene energy data analysis requirements are difficult to meet are solved. According to the method, common model measuring point configuration is set; after common model measuring point configuration information is read, a function registration mechanism is executed; carrying out callback function binding; and setting a function operation mechanism to solve the technical problem.

The utility model provides a hot nozzle with an automatic guide valve needle. The hot nozzle comprises an HD body, a valve needle assembly arranged in the HD body, a hot nozzle body, a nozzle core sleeve, a sealing ring and a heat insulation cap, wherein the sealing ring and the heat insulation cap are located at one end of the HD body; a conical sealing surface and a ceramic lining are arranged at the outlet end of the hot nozzle body; the valve needle assembly is provided with a stepped shaft structure, a conical sealing head and a split type guide sleeve. A graphite self-lubricating layer is arranged on the inner wall of the split type guide sleeve, and the thickness is 0.05-0.2 mm; the dynamic compensation assembly comprises an elastic compensation ring and a floating gap; the radial width of the floating gap is 0.02-0.1 mm, and radial fine adjustment of the guide sleeve is achieved through melt pressure; the elastic compensation ring is a high-temperature alloy spring, and the adjustable range of the pre-tightening force is 50-200N; the spiral angle of the spiral flow guide groove in the inner wall of the ceramic lining is 15-45 degrees, and in practical application, the production and machining time and the system maintenance time can be effectively saved, the valve needle is effectively prevented from being deviated, the overall service life of a system is guaranteed, and the production efficiency of customers is improved.

The utility model provides a battery pack which comprises a lower box body, a top cover, an upper cover body and an electric system assembly, a first accommodating space is arranged in the lower box body, a battery cell stack is accommodated in the first accommodating space, the top cover is used for sealing the first accommodating space, the upper cover body is located on the side, away from the lower box body, of the top cover, a second accommodating space is defined by the upper cover body and the top cover, and the electric system assembly is arranged in the second accommodating space. The electrical system assembly is located in the second containing space, so that the second containing space and the first containing space are completely isolated by the top cover, it is ensured that the situation that the core stack is mistakenly shocked when the electrical system is maintained in the later period is avoided, and the risk of external short circuit is avoided; besides, the electric system assembly is located above the battery cell stacking body, the arrangement of the electric system assembly utilizes the space of the battery pack in the height direction, the layout compactness of the battery pack is improved, the internal structure layout of the battery pack is optimized, and the volume grouping rate of the battery pack is further improved.

This utility model relates to the field of wind power yaw technology and discloses a waste oil collection device for the maintenance of a wind turbine yaw system. The device includes a yaw main wheel and a track component. The track component includes a calibration plate with a fixing groove at the top. A fixing component is inserted into the inner wall of the fixing groove, and a snap-fit ​​component is fixed to the bottom of the inner wall of the fixing groove. A snap-fit ​​groove is formed at the bottom of the fixing component, and the inner wall of the snap-fit ​​groove is snap-fitted to the surface of the snap-fit ​​component. A sloping shovel is fixed to the side of the fixing component away from the calibration plate, and a backhoe is fixed to the side of the sloping shovel closer to the bottom of the calibration plate. This utility model secures the fixing component to the fixing groove of the calibration plate, ensuring that the bottom of the sloping shovel and the backhoe are tightly fitted to the top of the calibration plate. Thus, during the forward rotation of the yaw main wheel, the sludge on the inner wall of the yaw main wheel is scooped up by the sloping shovel, and the backhoe similarly scoops up the sludge during the reverse rotation. Workers only need to clean the sloping shovel and backhoe periodically.

A maintenance device 100 for coupling with an electrical circuit 102 of an electric vehicle for testing the low-voltage battery system of the electric vehicle comprises electrical connectors 536A / B, which are configured to be coupled to terminals of a low-voltage battery 123 of the vehicle 102's low-voltage battery system and electrically coupled to a DC-DC converter 125 of the vehicle 102, which is used to charge the low-voltage battery 123. A measuring circuit is coupled to the electrical connectors 536A / B. A controller coupled to the measuring circuit is configured to measure a parameter of the low-voltage battery 123 and a parameter of the DC-DC converter 125 and, in response, to determine a state of the low-voltage battery 123 and the DC-DC converter 125.

Maintenance kit for a hydraulic system equipped with suction (13) and delivery (14) pipes that define a first connection interface (61), the kit comprising: - at least one pump, said pump having a second connection interface configured for reversible coupling with said first connection interface (61); - a connector element (50) equipped with a third connection interface (51, 52); wherein the third connection interface (51, 52) of said connector element (50) is dimensionally and functionally identical to the second connection interface of said pump, so that said connector element (50) and said pump are mutually interchangeable for coupling with the second connection interface of the hydraulic system, said first, second, and third connection interfaces being configured for coupling by means of reversible fastening means (60) that ensures a hermetic seal of the system under pressure without the need for additional sealing materials.

The application discloses a rule arrangement execution, a rule arrangement method, a device and a system, relates to the technical field of electronic information, and a service end can execute the following: pulling a logical rule configuration and saving to a service end local cache at startup; if a first rule change notification sent by a configuration service is listened to, a first changed rule configuration is acquired; the first changed rule configuration is used to update the logical rule configuration in the cache; if a notification message sent by a client is listened to, a target logical rule triggered by the notification message is queried from the service end local cache and executed, and the client is an exception detection and classification system application of a client tool package introducing a rule arrangement service. In the implementation process of the exception detection and classification system (FDC system), the application can realize quick adjustment of business rules, efficiently meets the individualized needs of users, the business rules are separated from application program codes, are easy to maintain and update, and the high cost problem of multi-version system maintenance is effectively avoided.

The invention relates to the technical field of safety monitoring, in particular to a low-power-consumption universal urban lifeline acquisition and transmission terminal, which comprises a data acquisition interface module, a data transmission module, a data transmission module, a data transmission module and a data transmission module, and is characterized in that the data acquisition interface module provides a physical communication interface and is connected with an external sensor to acquire original sensing data; the protocol self-adaptive processing module is used for storing configuration parameters of the equipment, dynamically calling a corresponding decoding function based on the type of the access equipment, and analyzing the original sensing data into physical service data; the data scheduling transmission module is used for carrying out classification processing on the physical service data, selectively executing a batch reporting process after local caching according to a data state, and selectively executing an immediate reporting process after fault triggering; and the intelligent power consumption management module operates a power consumption state machine and predicts a future load based on historical task data. According to the invention, the configuration library and the extensible coding and decoding library are constructed, so that the maintenance cost and the upgrading difficulty of the system are reduced.

The invention provides a data asset management method and system based on a distributed account book technology, and relates to the technical field of data asset management, and the method comprises the steps: S1, carrying out the segmentation of a to-be-managed data asset according to a predefined fragmentation strategy, generating an encryption index corresponding to each fragment, and constructing a Merkle tree based on the data of each fragment; according to the data asset management method and system based on the distributed account book technology, a consistent hash + virtual node fragmentation strategy is adopted, so that data distribution is balanced, full-amount remapping is not needed when nodes are newly added / removed, and the system maintenance cost is greatly reduced. According to the method, fragments are divided into multiple batches based on a load balancing algorithm, PBFT consensus requests are initiated in parallel, TPS is improved to a multiple level from a single instance mode through parallel block merging, and dynamic balance of high throughput and low acknowledgement delay is achieved by means of a lightweight BFT and parallel PBFT switching mechanism triggered by a threshold value. And it is ensured that the system always maintains the optimal performance during a service peak period and resource fluctuation.

The invention discloses a replacement kit for a railway wagon damping system, and belongs to the technical field of railway wagon damping system maintenance equipment. The set is composed of a self-locking hydraulic pickaxe, a supporting tool, a positioning pin, a tightener, a portable electric hydraulic pump, a lifting protection device and a pillow spring fork, and all the parts are detachably connected through the positioning pin, an oil pipe and the like. The supporting tool adopts a symmetrical design and is provided with a lug, and the self-locking device and the tightener of the self-locking hydraulic pickaxe are matched, so that the pickaxe can be prevented from being broken in the jacking process; the lifting protection device comprises a first lifting protection device and a second lifting protection device which provide safety protection at the highest lifting position and the lowest falling position of the end head of the swing bolster respectively. According to the set, sleeper spring replacement and side frame stand column wearing plate replacement can be completed at the same time, online maintenance can be achieved without picking up, the problems that existing equipment is single in function, narrow in application range, low in maintenance efficiency and large in potential safety hazard are solved, and the set is suitable for various railway wagon bogies.

The application provides a robot control method and system based on a large language model, the method comprising receiving a natural language instruction and converting it into instruction text, the large language model judging the instruction type based on prompt word engineering, if it is an action instruction, triggering a mechanical arm movement API call and recognizing a target object through visual sensing to complete path planning and perform tasks such as grabbing, moving and placing, if it is a non-action instruction, directly generating feedback text. The system comprises a voice interaction module, a task planner module, a visual recognition module and a task execution module, and the modules are coordinated through modular design and standardized communication mechanism, and the result is checked and voice feedback is output after task execution. The application effectively solves the problems of complex input of traditional robot control instructions, insufficient interaction flexibility and limited task processing capacity, improves the interaction flexibility, task generalization and positioning execution precision of the robot, is convenient for system maintenance and upgrading, and is suitable for various scenes requiring robot intelligent control and interaction such as home service and industrial assembly.

The invention provides a pressure adjusting device for an optical sealed cabin, and belongs to the technical field of airborne photoelectric system environmental control. Comprising a shell of an integrated structure, a bolt type screw installed on the flange face of the outer side of the shell, a fluid socket component installed on the inner side wall parallel to the flange face, a breather valve component installed on the other inner side wall, a humidity indicator installed on the exposed side wall and an installation cover plate component installed on the open side wall, and the exposed side wall of the shell is consistent with the outer side wall of the optical sealed cabin in shape. The pressure adjusting device not only has the pressure adjusting function, but also has the functions of drying, filtering and drying agent state monitoring, nitrogen leakage of the optical sealed cabin cannot be caused when the drying agent is replaced, and the system maintainability is effectively improved.

The utility model relates to the technical field of power system maintenance equipment, in particular to a special device for live-line replacement of a strain insulator, which comprises a supporting assembly and an adjusting assembly, the supporting assembly comprises a supporting rod, the two ends of the supporting rod are respectively close to a cross arm, and the adjusting assembly is connected to the supporting rod. The adjusting assembly is used for fixing the supporting rod and the cross arm; according to the invention, the operation complexity of operators is reduced, and the efficiency and safety of live-line replacement of the strain insulator are improved.

The invention relates to a multi-work-platform simulation training operation system, a storage medium and a method. The multi-work-platform simulation training operation system comprises a work platform simulation module, a manipulation control module, a base installation module, a communication and vehicle manipulation module and a joint control module. The joint control module is respectively in communication connection with the work platform simulation module, the manipulation control module and the communication and vehicle manipulation module, and is used for realizing data interaction and cooperative control among the modules; according to the system, the indoor practical training space is optimally designed, the lifting requirement is met by digging the base underground, the core functions of lifting, stretching, interlocking and the like of the main platform, the left auxiliary platform and the right auxiliary platform are simulated, and a real operation scene is restored in cooperation with a special control panel and joint control logic. According to the invention, the problems of high space requirement, high risk and high cost of real vehicle training are solved, safe, efficient and repeatable overhead line system maintenance operation platform operation training is realized, and the system is suitable for pre-post training and skill improvement of overhead line system operators.