615 results about "Smart switch" patented technology

The invention discloses an intelligent power distribution layered self-healing fault isolation and power supply recovery method, which is suitable for realizing rapid fault isolation and power supply recovery of a non-fault area when a power distribution system has a fault. According to the method, a hierarchical control framework is adopted, and intelligent switch equipment on the lower layer is responsible for collecting the current and voltage states of a line in real time and immediately completing local identification and fault section removal after a preset fault signal is detected; the fault information is then uploaded to a power distribution automation master station on the upper layer, the master station analyzes a recoverable power supply area in combination with the current network topology and generates a network reconstruction scheme, and a non-fault area is switched to a standby power supply path by controlling an interconnection switch; the system supports the backtracking analysis of historical data such as waveform distortion and partial discharge signals before a fault, identifies a potential abnormal trend, optimizes an operation strategy, and achieves a self-adaptive early warning function. The method has the advantages of being rapid in response, clear in structure and high in autonomy, and the reliability and continuity of the power distribution system can be remarkably improved.

The invention relates to the field of power plant control, discloses a virtual power plant control method, system and equipment based on a neural network, and is used for solving the core problems of high data dependence, low topology safety and difficulty in multi-scale collaboration in traditional virtual power plant control. According to the virtual power plant control method based on the neural network, a correction instruction set, a joint estimation value and a topology constraint matrix are input into a neural network controller, and a cooperative control signal is output through singular perturbation decoupling of a fast-varying subsystem and a slow-varying subsystem. And the cooperative control signal is issued to the distributed power supply inverter, the energy storage converter and the intelligent switch, and meanwhile, an execution result is monitored in real time and fed back to the phase space reconstruction module, so that closed-loop control is formed. By constructing the Lyapunov candidate function and calculating the virtual damping coefficient, the transient stability, real-time persistent homologous analysis and topology self-healing instruction generation of the system are enhanced, and the self-healing capability and the fault-resistant capability of the system are improved.

The invention discloses an intelligent construction site management method and system based on photoelectricity and a video fence, the system is realized based on the intelligent construction site management system, the system comprises a control module and an information acquisition device connected with the control module, and the information acquisition device comprises a camera device, a cable monitoring device, an environment state parameter sensor and a construction equipment intelligent switch; and the cable monitoring devices are arranged along the extending direction of the cable at intervals of preset lengths. The method comprises the following steps: regularly acquiring and preprocessing real-time data of a construction site; analyzing the video data to identify a dynamic area; cable abnormity and equipment state are evaluated; generating a motion intensity graph and a key frame candidate set; tracking a target, generating a track, and determining a responsibility subject. According to the method, comprehensive monitoring and anomaly detection of the construction site are realized through multi-source data fusion and intelligent analysis, and the management efficiency and safety are improved.

The invention provides a multi-protocol communication intelligent switch gateway control method and device, and the method comprises the steps: constructing a knowledge graph according to a network topological graph and protocol information of an intelligent switch, and obtaining a switch networking knowledge graph; determining an inference rule according to the switch networking knowledge graph to obtain an inference rule engine; acquiring a historical data packet of the intelligent switch in a preset time period, and analyzing and converting the historical data packet to obtain a data conversion module; integrating the inference rule engine and the data conversion module to obtain a protocol conversion module of the intelligent gateway; dynamically designing the protocol conversion module according to a preset implementation framework to obtain a dynamic protocol adaptation mechanism; evaluation and performance optimization are carried out on the dynamic protocol adaptation mechanism, an optimized protocol conversion system is obtained, and the optimized protocol conversion system is used for assisting the intelligent switch gateway to control the intelligent switch.

The invention discloses an optical storage grid-connected and off-grid operation method, which relates to the field of optical storage grid-connected and off-grid operation, and comprises a photovoltaic power generation unit, an energy storage unit, an intelligent switching unit, an energy management system (EMS), and grid-connected operation and off-grid operation controlled by the system, the grid-connected operation comprises the following steps: system connection: uniquely connecting a photovoltaic system with a power grid through an intelligent switch to realize second-level automatic grid connection; in the operation mode, the daily operation mode is grid-connected operation, and the energy storage system and the power grid jointly supply power to the load; and the system automatically or manually switches back to the grid-connected mode after detecting that the power grid recovers normal power supply. Through a current type control method, the voltage of the power grid is tracked, the magnitude of the output current is set, stable grid-connected operation is achieved, the islanding effect is avoided, it is ensured that the photovoltaic power generation system is automatically powered off when the power grid is powered off, the power grid safety is protected, and the charging and discharging process of the energy storage system is reasonably scheduled according to the load requirement and the photovoltaic power generation condition; the energy utilization efficiency is improved.

The invention provides an intelligent switch networking method and device based on a Bluetooth mesh, and the method comprises the steps: obtaining initial feature data according to the hardware capability information, the power type information and the geographic position information of each intelligent switch connected to a Bluetooth mesh network; according to the initial feature data, performing type analysis on each intelligent switch to obtain switch type data; according to a preset network distribution algorithm and the switch type data, an initial network topology structure is obtained, and the initial network topology structure comprises backbone switches and edge switches; performing networking communication according to the initial network topology structure, collecting single load data in the networking communication process, and performing multi-dimensional evaluation according to the single load data to obtain a comprehensive load index; and when the comprehensive load index exceeds a preset threshold value, performing role upgrade evaluation on the edge switch to obtain a role adjustment decision, and obtaining an optimized network topology structure according to the role adjustment decision and the initial network topology structure.

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic energy storage cooperative power generation system and method.The photovoltaic energy storage cooperative power generation system comprises a photovoltaic assembly, an intelligent string structure, an energy storage system and an intelligent controller, and the photovoltaic assembly comprises an east assembly and a west assembly and is connected to the direct current end of the same inverter to balance the morning and evening power generation peak values. The group string structure adopts a fixed group string and a switchable group string to be connected in parallel, and the group strings are dynamically switched to be connected and disconnected through an intelligent switch to adapt to irradiation fluctuation. The energy storage system comprises an energy storage battery and a bidirectional converter, a direct current end is connected with the battery, an alternating current end is connected with a grid through an intelligent switch, and charging and discharging scheduling under a peak-valley electricity price strategy is supported. The intelligent controller integrates a power prediction module, an economic dispatching module and an equipment protection module, monitors photovoltaic output, an energy storage SOC and a power grid state in real time, and dynamically optimizes string switching, energy storage charging and discharging and inverter operation parameters. Through east-west assembly power balance, flexible string reconstruction and energy storage intelligent scheduling, power generation income maximization and equipment service life prolonging are realized.

The invention relates to the technical field of intelligent switch cabinet monitoring, and particularly discloses a multi-mode fusion monitoring system for an intelligent switch cabinet. The system is provided with a use environment data analysis module, a monitoring error item matching module, a first monitoring signal analysis module, a second monitoring signal analysis module, a fusion monitoring factor acquisition module and a fusion monitoring result output module. The problems that a traditional single-mode monitoring method is difficult to comprehensively and accurately evaluate the overall state of the intelligent switch cabinet, information islands exist in the single-mode monitoring method, and relevance among various monitoring information cannot be fully utilized are solved. By monitoring electrical parameters, vibration characteristics and the like and combining and fusing monitoring error terms, the errors can be quantized and compensated, the system can evaluate the state of the switch cabinet more comprehensively, the limitation of single-factor evaluation is avoided, and association among different modes can be mined.

The invention provides a compact intelligent switch cabinet, which belongs to the technical field of intelligent switch cabinets and comprises an intelligent switch cabinet body, a switch cabinet back plate is arranged on the outer wall of one side of the intelligent switch cabinet body, and a switch cabinet door is hinged to the outer wall of the other side of the intelligent switch cabinet body. A transverse partition plate is arranged in the middle of the inner side wall of the intelligent switch cabinet body, a concave hole is formed in the outer wall of one side of the transverse partition plate, and an electrical equipment compact installation assembly and a locking linkage assembly are arranged on the inner side of the intelligent switch cabinet body. According to the electrical equipment compact installation assembly, electrical equipment can be adaptively and horizontally arranged and installed in the intelligent switch cabinet according to the thickness of the electrical equipment, so that the space occupied by tiled installation of the electrical equipment is reduced, and the electrical equipment installed in the intelligent switch cabinet can be conveniently overhauled, replaced and installed; and the intelligent switch cabinet can be manufactured to be more compact and can be flexibly expanded so as to adapt to frequently-changed power utilization requirements.

The invention discloses an intelligent research and judgment and power recovery method and system based on a low-voltage power distribution network, and relates to the technical field of intelligent power grid and power system automation, and the method comprises the steps: collecting monitoring data, carrying out information fusion check based on geography and power management, dynamically generating a topological file, and constructing a hierarchical visual power grid model. Analyzing the states of a circuit breaker and protection equipment, calculating main and backup protection deviation, analyzing electrical quantity change in combination with wavelet transform and singular value decomposition, and identifying a fault section; a whole-network sensing system is constructed, three-phase imbalance and zero-sequence current are monitored in real time, and rapid power restoration and active research and judgment are carried out by combining a dichotomy and an intelligent switch optimization power restoration strategy. According to the intelligent research and judgment and power recovery method based on the low-voltage power distribution network, the reliability and safety of the power distribution network are improved by constructing an environment monitoring system, the accuracy of fault analysis of a low-voltage transformer area is improved through topology accurate checking and intelligent fusion, and the fault analysis accuracy of the low-voltage transformer area is improved through a dichotomy fault isolation and intelligent power recovery strategy. The fault recovery efficiency is improved, and better effects are achieved in the aspects of safety, accuracy and efficiency.

The invention provides a zero-carbon battery charging and discharging test system and method. The system comprises a plurality of energy storage energy modules, a plurality of energy allocation modules connected with the plurality of energy storage energy modules, a plurality of non-isolated high-efficiency charging and discharging machines, a plurality of test side intelligent switches connected with the plurality of non-isolated high-efficiency charging and discharging machines, and a plurality of tested batteries connected with the plurality of non-isolated high-efficiency charging and discharging machines. The first controller is used for collecting state information of the plurality of energy storage energy modules and controlling working states of the plurality of energy allocation modules so as to adjust electric energy exchange between the plurality of energy storage energy modules and the direct current bus; the DC bus is connected with the plurality of energy allocation modules and the plurality of test side intelligent switches, and is used for establishing an electric energy transmission path between the plurality of energy storage energy modules and the plurality of tested batteries. And the second controller is connected with the plurality of test-side intelligent switches and is used for controlling on and off of the plurality of test-side intelligent switches so as to realize charging and discharging tests of the plurality of tested batteries.

The utility model discloses an intelligent switch circuit and a switch device. The intelligent switch circuit comprises a switch module, a voltage transformation module, a key module, a main control module and a switch control module. The key module is used for responding to operation for triggering the key module and generating and outputting a switching signal and a first driving signal based on the working voltage, the main control module is used for generating and outputting a second driving signal based on the switching signal, and the switch control module is used for generating and outputting a control signal based on the first driving signal or the second driving signal. Through the switch control module, when the main control module is out of control and crashes, the first driving signal output by the key module can be selected to control the switch-on and switch-off of the switch module.

The invention provides an intelligent self-checking isolation method for CAN bus fault nodes, and the method comprises the steps: arranging a CAN fault self-checking module in each CAN node except a CAN function module; a CAN function module of the CAN node is isolated from a public CAN bus through an intelligent switch 1, the CAN function module is isolated from a CAN fault self-checking module through an intelligent switch 2, and the intelligent switch 1 and the intelligent switch 2 are both controlled by the CPU control unit. Before the CAN function module of the CAN node works normally, the CPU control unit starts a fault self-checking program, turns off the intelligent switch 1, turns on the intelligent switch 2, and verifies whether the CAN function module has a fault through the CAN fault self-checking module; after verification is passed, the intelligent switch 1 is closed, the intelligent switch 2 is switched off, the CAN function module of the CAN node is connected to the public CAN bus, if verification is not passed, it is indicated that the CAN node has a fault, the intelligent switch 1 is kept in a switched-off state, and the CAN node is isolated from the public CAN bus, and therefore intelligent self-inspection and isolation of the fault node of the CAN bus are achieved under the condition that normal work of the system is not affected.

The invention relates to the technical field of anti-misoperation monitoring, in particular to an anti-misoperation monitoring system based on big data. The system comprises a data acquisition module, a historical database, a data analysis module and an isolation verification module. According to the invention, the data of each device is collected and processed and analyzed by using a big data technology to automatically identify potential faults of the device, such as overvoltage, short circuit and the like of the device, so that early warning information is sent in time, an operator is reminded to take corresponding maintenance measures, and fault points are accurately positioned by using big data analysis; an intelligent switch, a circuit breaker and other devices are adopted to quickly isolate fault points, and meanwhile, the response speed in the isolation process is monitored, so that the influence range on adjacent devices is dynamically adjusted, it is ensured that potential safety risks can be effectively dealt with under different environment conditions, and the flexibility and adaptability of the system are improved; by considering a fault diffusion phenomenon caused in a complex environment, an isolation strategy is updated in real time, and the fault processing efficiency and safety are improved.

The invention discloses an intelligent switch cabinet with automatic pressure relief protection, which comprises a cabinet body, a cabinet door is hinged to the front surface of the cabinet body, a heat dissipation channel is fixed on the back surface of the cabinet body, and a motor and a heat dissipation fan are respectively mounted in the heat dissipation channel; first pressure relief openings are formed in the upper portions of the left side and the right side of the cabinet body, blocking plates are arranged on the two sides of the cabinet body and located below the first pressure relief openings, and a second pressure relief opening is formed in the top of the cabinet body. According to the intelligent switch cabinet with the automatic pressure relief protection function, the first pressure relief opening and the second pressure relief opening can be gradually opened according to the pressure of the cabinet body, so that high-pressure gas is rapidly exhausted, graded pressure relief can be performed, pressure is released gently, pressure fluctuation is reduced, and the stability of a system is improved; and high-pressure gas can be discharged in the direction of the plugging plate in the inclined state, so that the gas is prevented from directly impacting surrounding personnel or equipment during pressure relief, and the safety risk is reduced.

The invention discloses a distributed photovoltaic system and method based on the Internet of Things technology and intelligent switch measurement and control, and the system comprises an intelligent metering and control module which is used for measuring the network access electrical parameters of all access rooms in real time, and achieves the off-network and grid connection of the distributed photovoltaic access rooms; the alternating current and direct current measurement and grouping control module is used for cutting off the photovoltaic power singly / grouping and directly adjusting the network access power of the photovoltaic power through communication between an intelligent switch and a photovoltaic inverter; power direction monitoring can be used for off-grid / grid-connected switching; communication between remote communication and a central control system is included, and real-time issuing of instructions and uploading of data are ensured; and the Internet of Things electric energy quality measurement and control module is used for monitoring the electric energy quality in real time, providing parameters for distribution operation and monitoring the influence of photovoltaic access on the electric energy quality of the power grid. According to the invention, through the intelligent measurement, metering and control module and the communication and grouping control module, the distributed photovoltaic access is effectively controlled, the voltage fluctuation and harmonic pollution of the power grid are avoided, and the stable operation is ensured.

The invention relates to the technical field of voice recognition intelligent home control, and discloses a non-specific person voice recognition intelligent switch control method and system based on deep learning. The non-specific person voice recognition intelligent switch control method is applied to intelligent switch control equipment, and specifically comprises the following steps of S101, receiving original audio signals continuously collected in a to-be-controlled environment, and preprocessing the collected original audio signals, and then a starting point and an ending point of an effective voice segment are positioned by adopting endpoint detection based on a double-threshold method and combining the characteristic parameters of the short-time energy and the short-time zero-crossing rate. A multi-layer hidden layer structure with Dropout regularization is adopted in a neural network model, the generalization ability of the model is enhanced, a context sensing mechanism is introduced into a semantic understanding module, a composite instruction containing azimuth information can be intelligently analyzed, crossing from recognition to understanding is achieved, and the method has the advantages of being high in practicability and easy to popularize. The system is ensured to maintain a high recognition rate for voice instructions of different users under different environment conditions.

The invention discloses an on-line monitoring system remote automatic restart intelligent switch and a control method, and relates to the technical field of intelligent power grids, and the on-line monitoring system remote automatic restart intelligent switch comprises a front-end monitoring module which is used for monitoring the state and performance indexes of equipment in real time and sending out warning information; the communication module is responsible for communicating with a remote monitoring center or other management systems, receiving a remote instruction and sending equipment state information; and the background monitoring platform is used for remotely monitoring the equipment state, sending a restart instruction and checking an operation result and a system log. According to the remote automatic restart function, the dependence on field technicians is reduced, the requirement for manual operation is lowered, operation and maintenance personnel can manage equipment in a remote monitoring center or through mobile equipment, the operation and maintenance efficiency is improved, and the operation and maintenance efficiency is improved through automatic and intelligent operation and maintenance means. The tedious manual inspection and maintenance process in a traditional method is reduced, and the efficiency of offline processing work is improved.

The invention provides a water-air composite cooling device and a cooling method for a lithium battery pack, relates to the technical field of lithium battery thermal management, and solves the technical problems of low air cooling thermal conductivity, insufficient cooling capacity, high water cooling cost, complex structure and difficulty in adapting to different working conditions caused by limitation of a single cooling mode of an existing lithium battery. According to the technical scheme, an air cooling unit achieves basic heat dissipation through an air duct and a draught fan; the water cooling unit achieves efficient heat dissipation through a water channel, a water pump and a temperature control assembly, and the temperature of cooling liquid can be adjusted. The temperature monitoring control unit adopts a PT100 thermal resistor to collect temperature signals, and regulates and controls operation parameters of the air cooling unit and the water cooling unit through an intelligent switch; the intelligent optimization unit constructs a flow field and temperature field model based on computational fluid mechanics, optimizes structural parameters and the flow velocity of a cooling medium in combination with a neural network algorithm, and realizes self-adaptive adjustment of a cooling strategy; the heat dissipation efficiency and stability are improved, and the service life of the battery is prolonged.

The invention discloses an intelligent switch planning method considering pre-disaster-middle-post multi-stage cooperation and disaster uncertainty, relates to the technical field of power grid intelligent switch planning, and is used for solving the problem that the uncertainty of disaster intensity is not considered in existing pre-disaster planning. By coupling available measures of a pre-disaster planning stage, a pre-disaster prevention stage and an in-disaster and post-disaster recovery stage, multi-stage coordination of determining the number of switches in the planning stage, completing switch site selection in the prevention stage and closing the switches to recover loads in the in-disaster and post-disaster stages is realized. In addition, the invention further provides a step-by-step hedging algorithm, the large nonlinear model is decomposed into a plurality of scene-related sub-problems to be solved, and the calculation burden is greatly reduced. A simulation result shows that compared with a pre-disaster-post-disaster two-stage planning model, the model provided by the invention not only can obtain a more flexible planning scheme, but also can reduce investment cost and load outage loss.

The invention provides a power distribution network single-phase earth fault processing and fault rapid regional isolation system for solving the problems existing in power distribution network single-phase earth fault regional isolation at present. The system is composed of an improved compensation damping type active intervention arc extinguishing device installed on a transformer substation bus, primary and secondary fusion intelligent switches installed at all nodes of a distribution line, and a primary and secondary fusion intelligent switch intelligent control terminal. When a single-phase grounding fault occurs, a grounding switch of the compensation damping type active intervention arc extinguishing device is switched on, a primary and secondary fusion intelligent switch control terminal of each node of a power grid generates corresponding low-resistance, medium-resistance and high-resistance zero-sequence protection fixed values, and when the single-phase grounding fault occurs, zero-sequence current protection is started to realize rapid fault area isolation of the single-phase grounding fault.

The invention provides an intelligent switch load identification method and device, and the method comprises the steps: carrying out the multi-scale time-frequency decomposition processing of the load data of an intelligent switch, and obtaining a multi-scale feature matrix; based on the dimension of the multi-scale feature matrix, performing adaptive convolution processing on the multi-scale feature matrix to obtain an adaptive convolution output matrix; performing dynamic pooling processing on the adaptive convolution output matrix to obtain a fixed dimension feature matrix; performing multi-task adaptive meta-learning model construction on the fixed dimension feature matrix to obtain a load type identification result; according to a load type identification result, performing weighted Focal loss calculation to obtain an optimized loss function value; and according to the optimized loss function value, a multi-task adaptive meta-learning model is updated, and the multi-task adaptive meta-learning model is used for predicting the load change of the intelligent switch.

The utility model relates to the technical field of contactors, in particular to a mutual inductor assembly and an intelligent switch, the mutual inductor assembly comprises a mutual inductor, the mutual inductor comprises a shell and a coil arranged in the shell, and the shell is provided with a first end face and a second end face which are oppositely arranged; the contact copper bars comprise a first copper bar and a second copper bar, the first copper bar comprises a copper bar body and a connecting section arranged on the copper bar body, at least part of the copper bar body abuts against the first end face, and at least part of the second copper bar abuts against the second end face; the connecting section sequentially penetrates through the first end face, the coil and the second end face and is connected with the second copper bar in a conducting mode. The utility model aims to reduce the volume of the intelligent switch.

A device and a method for positioning and detecting SF6 leakage and automatically supplementing gas relate to the technical field of GIS equipment protection, and comprise a central processing subsystem, an infrared temperature detection monitor, a pressure measurer and an intelligent switch which are respectively connected with the central processing subsystem, and a gas filling device connected with the intelligent switch, the high-pressure gas collection device and the adsorption device are connected with the inflation pipeline, and the mechanical arm supports the inflation pipeline to move. The invention further discloses a method for integrating the SF6 leakage positioning detection function and the automatic gas supplementing function. On the basis that the internal and external structures of the GIS are not changed, the adsorption device at one end of the gas charging device is used for adsorbing a gas leakage part through positioning so as to prevent continuous gas leakage, the other end of the gas charging device is connected with the SF6 high-pressure gas collection bottle so as to supplement leaked SF6 gas in the GIS in time, and meanwhile, the problems of SF6 gas leakage and gas supplement in the GIS are solved. The device is simple in structure, comprehensive in function and suitable for application and popularization.

The invention relates to the field of pattern recognition signal alarm devices, in particular to an intelligent switch cabinet fault signal alarm device and method based on pattern recognition, and the device comprises a temperature detection array which is used for continuously detecting and obtaining the temperature data of a plurality of regions in a switch cabinet; the infrared scanning module is used for starting infrared scanning to confirm a temperature abnormal area when the temperature data is abnormal, and obtaining coordinates of the temperature abnormal area; the photographing module is used for moving to the temperature abnormal area for photographing based on the temperature abnormal area coordinates to obtain an abnormal image; and the alarm module is used for identifying the fault type in the abnormal image to obtain alarm data and uploading the alarm data to the upper computer to give an alarm. According to the invention, the type of the fault of the switch cabinet can be quickly found and positioned by identifying the graph in the switch cabinet, so that maintenance personnel can timely feed back and process the fault, and the working efficiency is improved.

The invention belongs to the technical field of photovoltaic solar power station park rainfall irrigation, and discloses an arid area grassland photovoltaic system under-panel irrigation monitoring method, system and device. According to the method, a monitoring device is used for monitoring the soil humidity under a current arid area photovoltaic park (grassland photovoltaic system) panel in real time, and when the soil humidity is lower than a threshold value set by a user, the monitoring device starts a water suction pump to work through an internal processor; meanwhile, the monitoring device controls the opening degree and the opening and closing time of an intelligent switch electromagnetic valve additionally arranged on a tee joint or a four-way joint in the transverse pipe and longitudinal pipe connecting device; and the remote arid area grassland soil monitoring end performs comprehensive treatment according to the current soil humidity to obtain an optimal soil humidity and soil salinity and alkalinity combined value. The soil humidity around the drip irrigation opening of the underground drip irrigation pipeline can be monitored, the water suction pump is turned on and turned off through the monitoring center device, and the water utilization efficiency of vegetation of a grassland photovoltaic system in an arid region is improved.

A switchable intelligent fracturing sliding sleeve system based on an intelligent tag and coiled tubing control, relating to the technical field of oil and gas exploration and development. An intelligent key tag (A6) for initially opening an intelligent fracturing sliding sleeve (A4) is pumped from the ground surface and conveyed downhole by means of a casing; during water shutoff in a production process, the intelligent fracturing sliding sleeve (A4) is opened and closed using an intelligent switching tool (A3); and coiled tubing (A1) carries the intelligent switching tool (A3) connected to a cable (A0) to perform opening or closing operations. The intelligent fracturing sliding sleeve system can allow for repeated opening or closing control of the intelligent fracturing sliding sleeve (A4) corresponding to a production zone without altering physical properties of the formation and the inner diameter of the casing, and when combined with a profile control process, achieves flexible control over water detection and shutoff in the production zone, thereby significantly reducing the operation complexity and cost.

The invention discloses an electric energy quality management application verification method, device and equipment and a storage medium, and the method is realized through a transparent zone area real-type platform, and the method comprises the steps: editing and generating a test scheme according to a test demand and in combination with the transparent zone area real-type platform; according to the test scheme, setting parameters of the transparent zone area real-model platform and parameters of the verification scene; testing an Internet of Things platform constructed by an intelligent gateway, each intelligent switch and an intelligent sensing terminal in the transparent court real-type platform after parameter setting, and monitoring test data in the test process to obtain terminal sensing data; and analyzing and evaluating the test result of the to-be-tested governance equipment or the to-be-evaluated governance method according to the terminal sensing data through the Internet of Things platform, and generating a test analysis report. The technical problems that in the prior art, an electric energy quality treatment application verification platform and method are low in reliability, and the electric energy quality level of a transformer area is low are solved.

The invention relates to power distribution equipment, in particular to an intelligent switch cabinet based on maintenance power-off protection and a maintenance method thereof.The intelligent switch cabinet based on maintenance power-off protection comprises a shell installed in the switch cabinet, and the shell is connected with a power source and components in the switch cabinet in series; a power-off mechanism is arranged in the shell, the power-off mechanism comprises a magnetic attraction assembly and a locking assembly, the magnetic attraction assembly comprises a moving part arranged in the shell in a sliding mode, the moving part is connected with a pushing rod rotationally installed on the shell through a deflection structure, and when power-on current flowing through the shell is too large, the moving part is matched with the locking assembly; when the moving part moves, the deflection structure is triggered to drive the push rod to rotate relative to the shell; and the prediction assembly is arranged in the shell and comprises a partition piece arranged in the shell in a sliding mode, when the input current is too large, the partition piece is matched with the deflection structure, the push rod can be locked, and therefore a maintainer is prompted that a fault occurs in the shell.