33results about How to "Avoid fault expansion" patented technology

The invention relates to the technical field of photovoltaic power station inspection. The invention provides a photovoltaic inspection management method and system based on an unmanned aerial vehicle, and the method comprises the steps: constructing an inspection management database based on historical data; respectively constructing an inspection planning model and a data analysis and evaluation model based on the inspection management database; planning a flight path and an endurance strategy through the inspection planning model, and dynamically optimizing the flight path and the endurance strategy through the inspection planning model according to the real-time data; an inspection task is executed according to the dynamically optimized flight path and the endurance strategy, related data of the photovoltaic power station in the inspection process are collected in real time, and the related data are returned in real time; related data returned in real time is analyzed and evaluated through the data analysis and evaluation model, and corresponding operation and maintenance measures are formulated according to evaluation results, so that the potential problems that an existing inspection mode depends on manual inspection, the efficiency is low, each corner of the photovoltaic power station is difficult to comprehensively cover, and missing is likely to occur are solved.

The invention relates to the technical field of motor faults, and discloses a motor fault detection method and system. Motor operation data are collected in real time through a sensor, and data preprocessing is carried out to eliminate noise and missing values. A deep learning algorithm based on an attention mechanism is adopted, historical motor operation data and fault data are combined, and a motor fault model is established. And inputting the preprocessed real-time data into the model, and outputting the probability of various faults of the motor. And when the probability of a certain fault exceeds a preset threshold value, triggering an early warning strategy. Meanwhile, the invention further provides a motor fault detection system which comprises a data acquisition module, a data preprocessing module, a model construction module, a fault detection module and an early warning strategy module, and intelligent and automatic detection and early warning of motor faults are achieved. According to the method and the system, the accuracy and the robustness of fault identification are improved, the safe and stable operation of the motor and the system is ensured, and the method and the system have wide application prospects.

The invention discloses an intelligent substation merging unit fault diagnosis and self-healing method based on tensor decomposition, and the method comprises the steps: collecting all operation data of a merging unit from a sensor network of an intelligent substation in real time, carrying out the processing, organizing the processed data into a tensor form, and outputting multi-dimensional data; decomposing the multi-dimensional data by using a tensor decomposition method, extracting fault features, and detecting the fault features to obtain a detection result; and determining the position and the type of the fault based on the detection result, starting a self-healing control strategy, and automatically repairing the fault by taking corresponding measures. Through the adaptive control technology, automatic repair of faults is realized, the self-healing capability of the intelligent substation is enhanced, and the reliability and stability of the system are improved.

The invention relates to the technical field of switch cabinet remote monitoring, and particularly discloses a switch cabinet remote monitoring system based on image analysis. The external health state of the cabinet body of the switch cabinet corresponding to the current monitoring time period is analyzed, and corresponding display processing and early warning processing are performed, so that the dependence on manpower is reduced to a certain extent, the cost and the labor intensity of manual inspection are reduced, the timeliness and the accuracy of monitoring are improved, and the working efficiency is improved. Powerful data support is provided for maintenance and management of the switch cabinet, and potential faults and accidents are effectively prevented. The contours of all parts in the cabinet body of the switch cabinet corresponding to the current monitoring time period and the initial contour are subjected to coincidence comparison analysis based on the image, the temperature of the interior of the cabinet body of the switch cabinet corresponding to the current monitoring time period is analyzed based on the thermal imaging image, and potential faults or overheating abnormal states are found in time, so that measures are taken in advance; fault expansion is avoided, stable operation of the power system is guaranteed, and the evaluation result is more scientific and reasonable.

The invention relates to the technical field of electric power system operation and maintenance, and particularly discloses an intelligent agent construction method and system for electric power inspection, which can automatically trigger an inspection task, schedule edge equipment to execute inspection and identify equipment defects based on a visual large model by collecting multi-source operation data of electric power equipment in real time and performing intelligent analysis. And generating a structured abnormal point location and a disposal suggestion, and finally forming a complete inspection report and pushing the inspection report to the operation and maintenance management platform. By automatically judging the risk and generating the targeted inspection task, manual intervention is not needed, and compared with a traditional mode depending on a fixed period or threshold alarm, task response is more timely, coverage is more accurate, the capacity of capturing sudden hidden dangers is effectively improved, intelligentization and automation of the whole inspection process are achieved, manual intervention is reduced, and the inspection efficiency is improved. The inspection efficiency and accuracy are improved; equipment abnormity and potential risks can be identified in time, and rapid disposal is supported.

This application discloses a multi-level grid-connected control system for new energy collection stations, including a dispatch master station layer, a collection station layer, and a new energy power plant layer. The dispatch master station layer is used to collect system operation data, calculate active power regulation commands and reactive power regulation commands, and send them to the collection station layer and the new energy power plant layer. The collection station layer includes a grid-connected collection station interoperability device, a collection station control device, and grid-connected resource equipment. The grid-connected collection station interoperability device evaluates the system's frequency support requirements, oscillation suppression requirements, and voltage support requirements based on system operation data, and dynamically optimizes and tunes the configuration parameters of each grid-connected resource equipment according to these requirements. The collection station control device receives active power and reactive power regulation commands and configuration parameters, converts them into control commands executable by the grid-connected resource equipment, and sends them to the grid-connected resource equipment. This invention comprehensively improves the system's voltage and frequency regulation levels, ensuring grid stability in scenarios with a high proportion of new energy grid connection.

The present invention belongs to the technical field of substation switch equipment, and particularly relates to a normally closed switch state switching device for a substation, comprising an upper plate and a lower plate, wherein normally closed contact assemblies are arranged on both sides above the upper plate, and fixing seats are arranged on both sides below the normally closed contact assembly, and lower limit assemblies for limiting the downward travel of the normally closed contact assembly are arranged on both sides of the upper plate corresponding to the normally closed contact assembly; insulating shells are arranged on both sides below the lower plate corresponding to the normally closed contact assembly, and normally closed contact seats electrically connected to the normally closed contact assembly are arranged inside the insulating shells; guide sleeves are arranged on the outside of the insulating shells, and operating rods are arranged inside the guide sleeves, and one end of the outer side of the operating rods is connected to a mechanical operating device, and the mechanical operating device drives the corresponding operating rod to move to realize the state switching of the normally closed contact seat and the normally closed contact assembly; the present invention has the advantages of stable normally closed state, fast, reliable and timely switching, and avoidance of fault expansion.

The utility model discloses a vehicle-loaded road air purification device and an air purification vehicle based on the vehicle-loaded road air purification device, the air purification device is installed at the bottom of the vehicle and comprises a purification box, one end of the purification box is provided with an air inlet system, and the other end of the purification box is provided with an air outlet system; the purification box and a chassis of the vehicle are detachably arranged; the air inlet system is arranged close to an air inlet grille of the vehicle; the air inlet system comprises a first air inlet assembly communicating with the purifying box and two second air inlet assemblies symmetrically arranged on the two sides of the first air inlet assembly. The first air inlet assembly is further provided with an air inlet grid in a communicating mode, and the two ends of the air inlet grid abut against the second air inlet assembly. According to the gas inlet system, a wide and efficient gas inlet area is formed through the synergistic effect of the first gas inlet assembly, the second gas inlet assembly and the gas inlet grid, the capture and enrichment requirements of pollution gas are fully considered in the design of the gas inlet system, and the gas enrichment efficiency is high.

The invention relates to the technical field of machine room energy management and control, and discloses an air conditioner machine room centralized control method and system, and the system comprises a centralized management monitoring layer which employs a work station as an upper computer to monitor all electromechanical devices of an energy station in a unified manner; in the equipment layer, data acquisition and monitoring of the air conditioning unit are realized in a bus communication mode; in the field layer, a metering instrument, a sensor and an electric control execution device are used for data acquisition and execution control; and economical supply of energy is realized through the data acquisition system. According to the method, a DCS (Distributed Control System) is matched with an on-site PLC (Programmable Logic Controller) and an on-site intelligent instrument to realize automatic control of an energy center; through a field bus communication mode, instruction control is carried out on operation of the electromechanical equipment group of the energy station, and complete acquisition of equipment and process data is completed, so that the purposes of unified scheduling and energy conservation are achieved. Through transformation and access of the frequency conversion cabinet, the water flow can be accurately adjusted by tracking the load change, so that energy is greatly saved.

This invention discloses an automatic alarm system for abnormal property equipment based on multi-sensor fusion, specifically relating to the field of property equipment management. The invention utilizes a multi-source sensor module to deploy vibration, temperature, current, sound, and infrared sensors at key locations, collecting multi-dimensional data with equipment numbers, type identifiers, and time-series tags. A data fusion processing module employs Kalman filtering to eliminate noise, combines D-S evidence theory to fuse multi-source information, and dynamically filters valid data based on equipment type, operating stage, and aging parameters provided by the information filing unit. An anomaly analysis module constructs a risk assessment model, calculating the stage anomaly risk coefficient and the comprehensive anomaly risk coefficient. An intelligent alarm module sets three-level warning thresholds, triggering differentiated alarms via APP push notifications, SMS messages, and voice calls, and generating a structured log containing risk tracing and handling suggestions.

The present invention discloses a high-voltage switch cabinet safety state assessment system and method based on artificial intelligence, which relates to the field of electric power engineering technology, and includes: a valve state monitoring module, a chassis vehicle working state analysis module, a switch cabinet internal environment monitoring module, a closing condition verification module and a switch cabinet database. The present invention monitors the working state of the valve to ensure that the chassis vehicle can be moved only when the valve is open and in a normal state, effectively preventing the risk of three-phase short circuit caused by forcibly moving the circuit breaker when the valve is not lifted, and analyzing the operating state of the chassis vehicle at the same time, comprehensively evaluating whether there are abnormal conditions such as stuck in the operation of the chassis vehicle by combining various data, ensuring the stable operation of the equipment, and finally judging whether to close the switch according to the safety state assessment result and the position of the chassis vehicle, thereby improving the safety of the closing operation. The present invention can comprehensively and accurately assess the safety state of the high-voltage switch cabinet and effectively prevent the occurrence of faults and accidents.

The invention discloses a production line early warning system and a production line early warning control method, and the system comprises a conveying line, a plurality of state sensors, a first alarm device, and a main PLC. The conveying line is sequentially provided with a bottle unloading machine, a filling machine, cooling equipment, a labeling machine, a boxing machine, a stacking machine, a film winding machine, a label printer and a finished product clamping plate machine in the conveying direction, and the conveying line comprises a boxing machine operation area; the stacking machine, the film winding machine, the label printer and the finished product clamping plate machine are connected with at least one state sensor to detect an abnormal state; the first alarm device is arranged in an operation area of the box packing machine; and the main PLC is used for receiving an abnormal signal sent by the state sensor. According to the production line early warning system provided by the embodiment of the invention, centralized monitoring can be carried out through the main PLC, so that an operator can know equipment faults in time and take measures in time.

The invention relates to the technical field of monitoring systems, in particular to a PPDS drag chain drive monitoring system, which comprises a sensor unit, a PPDS analysis unit, a control system, a data memory and a floating end, wherein the sensor unit comprises a PPF sensor, the PPDS analysis unit comprises a data processing module, an analysis algorithm module, an alarm triggering module, a communication interface module and a power management module, the control system comprises an execution mechanism, a controller and an interface circuit, the data storage device comprises a storage device, and the floating end comprises a floating head. According to the system, the driving force and the change trend of the drag chain in the operation process can be monitored in real time, an alarm signal is triggered immediately once abnormity is found, a real-time monitoring and early warning mechanism is beneficial to finding and processing potential safety hazards in time, a high-performance processor and an algorithm library are adopted for deep analysis, and the safety of the drag chain is improved. The system can ensure the accuracy and reliability of data, and the monitoring system provides a plurality of alarm signal use modes.

This application discloses a parallel system control method, electronic device, storage medium, and product, belonging to the field of parallel control technology. The parallel system control method includes: acquiring operating data of the host and slave devices in the parallel system through a host in the parallel system, wherein the host is connected to a designated sensor for monitoring the global operating status of the parallel system; performing fault detection based on the operating data to obtain fault detection results; when the fault detection results indicate that the host has an internal fault, controlling the host's function execution circuit to stop working while maintaining the normal operation of the host's sampling circuit and communication circuit; collecting monitoring data from the designated sensor through the host's sampling circuit; and controlling the parallel system based on the sampling data and monitoring data reported by each slave device and the host's communication circuit. The embodiments of this application can improve the availability and power output continuity of the parallel system.

The present invention discloses a method and system for evaluating the degree of aging fault of photovoltaic strings, including obtaining historical time series data of photovoltaic strings under normal working conditions of a target photovoltaic power station; calculating the curvature of a voltage series curve and the kurtosis of a current series curve respectively; performing equivalent integration processing on the current series curve and the voltage series curve to obtain a first index reflecting the degree of current fault and a second index reflecting the degree of voltage fault respectively; constructing a sample data set according to the kurtosis, curvature, the first index and the second index, performing a first clustering processing on the sample data set to obtain a sample data set to be optimized; performing a second clustering processing on the sample data set to be optimized to obtain a target sample data set; and determining the evaluation result of the degree of aging fault of the target photovoltaic string based on the time series data, the sample data set to be optimized and the target sample data set obtained in real time. The method of the present invention can realize real-time monitoring and diagnosis of aging faults of photovoltaic strings.

The invention provides a photovoltaic panel fault rapid positioning method, and the method comprises the steps: arranging a thermosensitive color-changing film on a photovoltaic panel, and enabling the color of the thermosensitive color-changing film to change along with the temperature change of the photovoltaic panel; identifying the photovoltaic panel with abnormal temperature according to the color change of the thermosensitive color-changing film; analyzing and positioning by combining geographic information of the photovoltaic panel array to obtain a fault photovoltaic panel; and the photovoltaic panel with the fault is positioned through the steps. According to the method, the temperature sensitivity of the thermosensitive color-changing film is used for detecting the temperature abnormity of the photovoltaic panel, and the faulted photovoltaic panel is quickly identified and positioned through color change, so that the faulted photovoltaic panel can be found and positioned in an early stage, timely maintenance is carried out, fault expansion is avoided, and the maintenance cost and shutdown loss of a photovoltaic power station are reduced. And the specific position of the fault photovoltaic panel can be accurately positioned in combination with geographic information, so that the time for maintenance personnel to find a fault point on site is shortened, and the maintenance efficiency is improved.

This invention relates to the field of industrial Internet of Things (IoT) technology, and in particular to an anomaly detection and source tracing analysis system and method based on an information model. The system includes a data acquisition and storage module, an information model construction and management module, an indicator construction and calculation module, an anomaly detection module, a source tracing analysis module, and a result output and visualization module. This invention integrates multi-dimensional data to construct a graph-structured information model, unifying data from different sources into the information model. Through entities, attributes, and relationships within the information model, the dependencies between various indicator data are clarified, achieving comprehensive source tracing of anomalies. Compared to traditional methods that only focus on a single type of data or local indicator correlations, this invention can uncover all potential data correlations related to anomalies from a holistic system perspective, avoiding incomplete source tracing problems caused by missing data dimensions.

The invention provides a water-turbine generator set guide blade joint abnormity detection method, device and equipment, and the method comprises the steps: obtaining the first operation data of a water-turbine generator set at a first time, the first operation data comprises the first active power of the water-turbine generator set, a first water head, and a first guide blade opening degree and a first blade opening degree corresponding to the first water head; according to the initial operation data, a target prediction model corresponding to the water-turbine generator set is generated, the target prediction model is used for describing the joint relation between guide vanes and paddles of the water-turbine generator set under the conditions of different active powers and different water heads, and second operation data of the water-turbine generator set at second time are obtained, and processing the second operation data based on the target prediction model to obtain a guide paddle joint detection result of the water-turbine generator set at the second time, so that the abnormal state of the guide paddle joint relation of the water-turbine generator set can be accurately detected, fault expansion of the water-turbine generator set is avoided, and safe and efficient operation of the water-turbine generator set is guaranteed.

The invention belongs to the technical field of mechanical engineering, and discloses a power drive motor dismounting test bench, which comprises a support column and a workbench, a positioning block is fixedly mounted in the middle of the top end of the workbench, and a transmission assembly mounting plate is rotatably connected to the top end of the positioning block. A mounting frame is fixedly mounted at the position, close to the back face of the positioning block, of the top end of the workbench, a driving structure is rotationally connected into the mounting frame, a moving block is horizontally and slidably connected into the mounting frame, and a driving motor assembly mounting plate is fixedly mounted at the top end of the moving block. By means of the mode, the assembling precision and the assembling efficiency between the transmission assembly mounting plate and the driving motor assembly mounting plate can be improved, assembling work can be completed more conveniently and efficiently, and time and labor waste caused by assembling difficulty is reduced; slight operation errors in the installation process are reduced, assembly failures or subsequent problems are not easily caused, and the reliability in the assembly process is improved.

The present invention belongs to the field of mechanical design technology, and specifically relates to a steam turbine generator spring assembly extension device. The present invention includes an oil pressure supply device, a high-pressure hose, and an extension mechanism. The oil pressure supply device is connected to one side of the high-pressure hose through a quick connector; the other side of the high-pressure hose is connected to the oil inlet nut in the extension mechanism, and a sealing gasket is installed between the two for sealing. The present invention utilizes the limited space between the spring assembly and the pressure ring to release the elastic performance of the spring, thereby achieving the purpose of being able to inspect the spring assembly in all areas of the generator end.

The present invention relates to the technical field of temperature early warning, and specifically discloses a temperature early warning system for a material storage tank, the system comprising: an area division module, for dividing a warehouse into a plurality of areas, and each area has and has only one refrigeration device; a data acquisition module, for respectively acquiring the operating status data of the refrigeration devices in all areas, and making different levels of early warnings according to the risk level of the operating status of the refrigeration devices by accurately judging the operating status of the refrigeration devices, and taking corresponding countermeasures according to the different levels of early warning warnings, so that not only can the refrigeration equipment be adjusted and repaired in time to ensure the refrigeration effect, but also the temperature change of the material storage tank can be warned in advance, so as to realize the early warning of the internal temperature of the material storage tank, thereby improving the efficiency and accuracy of the early warning, and enabling management personnel to discover and deal with potential risks more quickly and accurately.

The application discloses a kind of based on digital ray technology's transmission line strain clamp nondestructive testing method, it is related to transmission line strain clamp detection field, method includes: collection strain clamp radiographic image and geometric dimension, stress and so on multidimensional parameter, data fusion is carried out by hypergraph structure, multidimensional heterogeneous strain clamp analysis model is calculated and analyzed in edge side using optimized hypergraph neural network and edge computing gateway, to visualize presentation detection result in the form of double screen linkage, while realizing intelligent diagnosis and defect early warning;The application provides an efficient, accurate and reliable solution for the intelligent operation and maintenance of transmission line strain clamp, effectively improves the safe operation level and operation and maintenance efficiency of power grid.

The invention discloses a fan rotating speed control method and system, and relates to the technical field of fan control, and the fan rotating speed control method comprises the steps that the rated rotating speed, the rated current, the rated voltage, the real-time rotating speed, the real-time current and the real-time voltage of a fan are obtained, and a fan operation deviation coefficient is calculated; the fan output deviation coefficient is calculated according to the real-time output wind speed, the real-time output wind direction and the real-time output wind pressure of the fan, the fan adjustment deviation coefficient is calculated according to the real-time temperature, the real-time air pressure and the real-time humidity of the fan adjustment area, and then the fan control deviation index is calculated according to the fan output deviation coefficient and the fan adjustment deviation coefficient; and obtaining fan operation deviation coefficients and fan control deviation indexes of all the fans, calculating a rank correlation coefficient, and importing the fan operation deviation coefficients, the fan control deviation indexes and the rank correlation coefficient of all the fans into a machine learning model to build a control adjustment model, so that the control adjustment model determines an adjustment value of the operation deviation coefficients. And remote monitoring and intelligent adjustment of the fan can be realized.

The application discloses a kind of wind turbine fault prediction and health management system based on multi-parameter fusion, belong to wind power equipment intelligent operation and maintenance and fault prediction and health management (PHM) technical field.The present application takes harmonic diagnosis technology as core, the monitoring mode of multi-parameter fusion, optimizes system architecture and carries out function innovation, solves the technical defects such as traditional diagnosis precision deficiency, real-time poor, early warning ability weak.System includes intelligent data acquisition module, enhanced signal hardware processing module, 5G / fiber double communication module, edge computing node, cloud side collaborative server, intelligent diagnosis and health management module, distributed memory, multi-terminal visualization platform and intelligent power supply module;Each module cooperates, through multi-source data acquisition, high-precision signal processing, cloud side collaborative diagnosis, fault grading early warning, health status evaluation and residual life prediction.

The invention relates to the field of current conversion equipment, in particular to a converter power module. The converter power module comprises a box body, the box body comprises a front panel and a rear panel, and two sub-modules are arranged in the box body in a bilateral symmetry mode. Each sub-module comprises a vertical mounting plate connected between the front panel and the rear panel of the box body, a water-cooling radiator mounted at the front end of the mounting plate, an IGBT module mounted on one side, opposite to the mounting plate, of the water-cooling radiator, a thyristor mounted on the mounting plate, a resistor mounted on the other side of the water-cooling radiator and two layers of capacitors arranged on the outer side of the mounting plate; an SCE control panel is installed on the tops of the two installation plates and connected with the two sub-modules, and a bypass switch is arranged at the position, below the installation plates, of the front end of the box body and connected with the two sub-modules. According to the current converter power module, the power density of the current converter is improved under the condition that the loss of the current converter is not changed, the number of the current converter power modules is reduced by half, and the occupied area of the current converter is reduced.

The invention provides an intelligent circuit breaker of an electromagnet executing mechanism. The intelligent circuit breaker comprises a working circuit assembly and a control circuit board. The working circuit assembly and the control circuit board are installed in the base and connected through a connector, and a working circuit interface and a control circuit board interface are arranged on the side wall of one tail end of the base and connected with the working circuit assembly and the control circuit board respectively. According to the invention, the electromagnet actuating mechanism is used as a driving part of the circuit breaker and is responsible for converting a control signal into a mechanical action so as to realize opening and closing operation of the circuit breaker. Therefore, the circuit breaker has higher precision and high stability, has the characteristics of quick response and long service life, and adapts to frequent operation requirements in an electric power system. And intelligent control and protection functions are added, and the primary circuit immediately takes protection measures when an abnormality is found by monitoring the operation state of the power system in real time, so that fault expansion is avoided.

The invention discloses a day-ahead and intra-day triggering multi-time-scale scheduling system and method for a micro-energy grid, relates to the technical field of power system scheduling, and mainly aims to solve the problems that in the prior art, due to single-time-scale optimization or power quality single-index management, the robustness of the system to uncertainty is poor, the controllability of power quality is low, and the scheduling efficiency is high. And the multi-agent cooperation efficiency is low. The system comprises a source load data prediction module, a dynamic time-of-use electricity price module, an optimization scheduling module, an electric energy quality monitoring module, a trigger scheduling module and an instruction distribution module. And a multi-time scale framework of'prediction-monitoring-scheduling-execution 'full-chain coordination is constructed, so that the robustness of the system to uncertainty, the controllability of electric energy quality and the high efficiency of multi-agent coordination are improved.

The invention provides a power coil anti-adhesion protection device and method. The power coil anti-adhesion protection device comprises a knife switch, a time relay, an intermediate relay, a coil and a circuit breaker. The time relay is integrated with a normally open contact; the intermediate relay is integrated with a normally closed contact; one end of the knife switch is electrically connected with the direct-current access point, and the other end of the knife switch is electrically connected with the power input end of the time relay, one end of the normally open contact and one end of the normally closed contact; the power supply output end of the time relay is electrically connected with the direct current lead-out point; the other end of the normally open contact is electrically connected with the power input end of the intermediate relay, and the power output end of the intermediate relay is electrically connected with the direct current outgoing point. The other end of the normally-closed contact is electrically connected with one end of the coil, and the other end of the coil is electrically connected with the direct current outgoing point. And the circuit breaker is connected in series between the direct current access point and the knife switch. The circuit breaker is used for preventing the closing coil and the opening coil of the circuit breaker from being burnt due to adhesion caused by continuous electrification.

The application provides a power distribution network stability operation and maintenance method based on LSTM, comprising the following steps: collecting power distribution network related data, filtering abnormal values and filling missing values, and dividing continuous data into time series data; a long short-term memory neural network model is established to predict the probability of failure, and the long short-term memory neural network is optimized and corrected; the stability risk of the power distribution network is evaluated and reported to the background monitoring system in real time; when the risk degree exceeds the set threshold, the system sends a risk alarm to the operation and maintenance personnel; according to the prediction result of the neural network, the real-time monitoring data and the environmental change, the genetic algorithm is used for scheduling optimization management of the power distribution system. The application has the beneficial effects that: the power distribution network data is monitored in real time, the failure cause and position are identified, and the failure elimination efficiency is improved; the load is predicted according to the historical data, the operation efficiency of the power distribution network is optimized, the demand for manual operation is reduced, and the operation and maintenance efficiency and safety are improved.

The invention relates to the technical field of power distribution Internet of Things, and provides resource adaptive power edge computing Internet of Things equipment and a lightweight engine implementation method thereof, the resource adaptive power edge computing Internet of Things equipment comprises an Internet of Things module, an application support module, a computing processing module, a communication interface and a power edge computing module; the Internet of Things module performs unified standardized management on various application scenes accessed to the power edge computing Internet of Things equipment, and supports rich interface types; the application support module is used for supporting the electric power Internet of Things equipment to perform electric power application development; the power edge calculation module realizes an edge calculation function of the power internet-of-things equipment by utilizing hardware resources and data processing capability of the edge calculation internet-of-things equipment; data processing and calculation links are moved forward to the edge side of the network, and the edge Internet of Things device migrates part of calculation tasks to the edge side for calculation through edge calculation, so that network edge intelligence is realized, edge data can be protected, response delay of an application program can be reduced, and business innovation can be assisted.