786 results about "Distribution control" patented technology

The invention relates to the field of power distribution control, and particularly discloses a self-healing control system and method based on multi-agent collaboration, and the system comprises a regional agent and a local agent which are disposed in a power distribution network. Wherein the local intelligent agent is configured to obtain real-time operation data of a monitoring point in the power distribution network, and perform rapid fault detection on the real-time operation data; the regional intelligent agent is configured to fuse the fault analysis information of the plurality of local intelligent agents to determine fault position information when the power distribution network has a fault, generate a self-healing control strategy according to the fault position information, and send the self-healing control strategy to the local intelligent agents for execution; through cooperative work of the distributed intelligent agents, the problems of low response speed, low positioning precision, weak autonomous capability and the like in traditional power distribution network fault management are solved. In addition, the system does not need to depend on centralized control of a master station, can still operate autonomously when communication is interrupted, and improves the efficiency and reliability of fault processing through cooperation of multiple agents.

The invention discloses a face recognition and encryption verification multi-grid article distribution control method and a distribution vehicle, and relates to the technical field of recognition and verification safety, and the method comprises the steps: fusing three-dimensional environment information through employing a vehicle-mounted edge calculation terminal and a navigation positioning terminal, and constructing a dynamic safety response strategy; the warehouse is analyzed through the vehicle-mounted warehouse control unified management terminal and the dynamic safety response strategy, and an edge intelligent control mechanism is obtained; processing based on a vehicle control and monitoring terminal and an edge intelligent control mechanism to obtain a real-time state; a vehicle interaction terminal and an intelligent operation terminal are utilized to obtain a face image and a visual dynamic feature, and a multi-modal detection strategy is utilized to analyze the face image and the visual dynamic feature to obtain a final authorized face image and a final authorized visual dynamic feature; and a dual-mode intelligent redundant unlocking technology is constructed, and face recognition and encryption verification are performed on the distribution vehicle based on the dual-mode intelligent redundant unlocking technology. According to the invention, compliance, high-efficiency and safe distribution of high-value materials is realized in an unmanned environment.

The invention relates to the technical field of parking lot digital management, and discloses a digital twin enabling parking lot digital global management system. According to the system, a global digital twin model of a parking lot is generated, and multi-source sensing data such as parking space states, vehicle identities and environmental parameters are fused; generating a parking space distribution matrix with priorities and time windows in combination with the parking request of the user and the real-time parking space state; according to the parking space two-dimensional code hardware parameters, the digital twin model and the parking space distribution matrix, outputting a vehicle guiding path set with a timestamp; a real-time obstacle avoidance and dynamic adjustment system is constructed to generate a safe driving path set so as to dispatch vehicles; outputting a power distribution control instruction set and updating the digital twinborn model by combining the electric quantity of the energy storage unit, the power distribution network data and the safe driving path set; and finally, system knowledge evolution and end-to-end closed-loop optimization are realized through scheduling execution logs. According to the system, global efficient management of the parking lot is realized, and the parking space utilization, vehicle scheduling and energy utilization levels are improved.

The invention discloses a power distribution control method and device for an optical storage DC flexible power distribution system, and relates to the technical field of power distribution control methods, and the method comprises the steps: determining a power consumption path of each power distribution region based on a power load and a photovoltaic power generation path of each power distribution region, and an energy storage path corresponding to the optical storage DC flexible power distribution system; and the power distribution balance event of each power distribution area is determined according to each power consumption path, the power distribution level of each power distribution area and the power distribution control relationship among the power distribution areas, so that the accuracy of the power distribution balance event of each power distribution area is improved. Therefore, the dynamic restoration event of the power distribution area is determined based on the autonomous management and control system and the abnormal power distribution position of the power distribution area, and the flexible regulation and control event of the optical storage direct-current flexible power distribution system is determined based on each dynamic restoration event, the working process of the optical storage direct-current flexible power distribution system and the flexible management and control path. And the autonomous flexible regulation and control effect of the optical storage direct-current flexible power distribution system is ensured.

The invention belongs to the technical field of aviation hybrid power, and discloses a self-adaptive intelligent power distribution control method for an aviation hybrid power system, which comprises the following steps: constructing a full-dimensional state model through multi-dimensional perception fusion, predicting working condition transition in combination with deep reinforcement learning, and dynamically adjusting a power distribution strategy; the response speed is guaranteed preferentially during emergency takeoff, energy recovery is emphasized during conventional landing, the problem that a traditional distribution mode is disjointed with actual requirements is solved, power output of an engine and a battery better fits the flight working condition, and stable operation can still be achieved in complex environments such as sudden airflow; by introducing digital twinborn rehearsal verification and adaptive robust control, risks of engine overtemperature, battery overcharge and the like are exposed and corrected in advance through virtual simulation, disturbance is dealt with in combination with a'basic + compensation 'power structure, part faults caused by unreasonable power distribution in traditional control are avoided, and the reliability of the system is improved. And the reliability of the hybrid power system in key stages of takeoff and landing is improved.

The invention relates to the technical field of intelligent power distribution control, and discloses an intelligent power distribution box control system based on the Internet of Things. The system comprises a power distribution parameter acquisition unit, a multi-dimensional electrical characteristic space construction unit, an overload risk simulation unit, a parameter dynamic optimization unit and a control instruction generation unit. The power distribution parameter acquisition unit acquires voltage waveform, current harmonic distribution, temperature distribution and the like in real time; the multi-dimensional electrical feature space construction unit classifies the parameters after preprocessing the parameters, extracts time-frequency domain features and fuses the time-frequency domain features into a multi-dimensional electrical feature space; the overload risk simulation unit marks an abnormal load interval, and matches historical and current features to generate a device degradation feature subset; the parameter dynamic optimization unit corrects the subset, simulates an overload risk diffusion path and outputs a feedback instruction; the control instruction generation unit generates an adjustment strategy and sends the adjustment strategy to the execution mechanism. According to the system, comprehensive perception and intelligent regulation and control of the power distribution operation state are realized, and the operation stability and adaptability of the power distribution box are improved.

The invention belongs to the technical field of man-machine interaction and robot control, and particularly relates to a man-machine physical twin system based on multi-modal video analysis and adaptive mapping and a control method, and the system comprises a multi-modal collection unit which is used for collecting original video streams of human body actions, expressions and voices, and compensating and repairing dynamic shielding; the semantic analysis unit comprises an action analysis module used for extracting a human skeleton key point set object interaction track from the original video stream, and an expression / voice analysis module used for outputting a facial action unit coefficient and a voice text with an emotion label; the self-adaptive mapping unit is used for establishing human body-robot joint kinematics mapping, distributing control bandwidth in real time according to task types and degrading non-key modes based on network states to guarantee action continuity, and non-contact action capture is achieved through a pure vision scheme by eliminating dependence on a wearable sensor; and the problems of failure and the like of a traditional visual scheme under shielding and illumination variation are solved.

The invention provides a laser cutting production line task automatic allocation control method based on multi-device state coupling analysis, and belongs to the technical field of intelligent manufacturing and industrial automation. The method comprises the following steps: constructing a dynamic closed-loop control process through a central control scheduling system: receiving a task information packet of an MES; constructing an equipment state vector based on a real-time station state, and introducing a dynamic weight factor set to generate a weighted state vector; performing task triggering judgment through a coupling triggering judgment function in combination with the task dependency graph and historical task records; when the conditions are met, a task instruction is issued to the target station; and feeding back the state and updating the historical record after the task is completed. The invention further relates to AGV intelligent scheduling, visual positioning compensation, process parameter dynamic adjustment, predictive conflict detection, weight self-optimization and the like. According to the method, the production line cooperation efficiency is remarkably improved, manual intervention and system delay are reduced, and the method is suitable for an intelligent laser processing scene in which multiple devices run in parallel.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention discloses a full-working-condition driving force optimal distribution control method based on an HCU, and relates to the technical field of new energy automobile control, and the method comprises the following steps: building a long slope energy flux analysis model, generating a time sequence envelope curve of recovery power based on a slope, an automobile speed and a wheel end inertia, and extracting a local peak value interval in the time sequence envelope curve; and in the peak value interval, based on the open-circuit voltage, pulse current and impedance spectrum information of the power battery, online identifying the absorption capacity of the power battery, correcting the upper limit of the state of charge of the power battery, determining a rechargeable current threshold value, carrying out coupling analysis on the threshold value and the recovery power envelope curve, and identifying the reverse current risk time period of the inverter. According to the method, real-time constraint on the absorption capacity of the power battery under the long-slope deceleration working condition is achieved, the inverter reverse irrigation risk is recognized, a peak clipping track and a transient discharge channel are constructed, micro-pulse, accessory absorption and super-capacitor shunting are fused, energy closed-loop control is formed, and the safety of the whole vehicle and the energy utilization efficiency are improved.

The invention discloses an ejector pin anti-fatigue strengthening method based on multi-section variable-temperature treatment, and relates to the technical field of ejector pin anti-fatigue strengthening, and the ejector pin anti-fatigue strengthening method comprises the following steps: austenitizing high-temperature quenching: heating an ejector pin to an austenitizing temperature, and then carrying out zoned cooling on the ejector pin; medium-temperature tempering and thermal-state mechanical strengthening are conducted, specifically, the ejector pin is tempered at the medium-temperature tempering temperature, and thermal-state shot blasting or laser shock is conducted on the ejector pin in the heat preservation period or after heat preservation is completed; intermediate low-temperature plasma nitriding: carrying out plasma nitriding in a nitrogen-hydrogen gas environment; subzero treatment: placing the ejector pin in liquid nitrogen; and finally, low-temperature tempering and cold-state mechanical strengthening are conducted. Through multi-section temperature gradient treatment, phase change distribution control over different temperature sections is achieved, too high internal stress and brittleness generated by one-time quenching are avoided, sudden size change and hot cracks induced by phase change are prevented, a controllable surface-core hardness and toughness gradient is formed, the surface crack initiation tendency is reduced, and the surface quality is improved. And the consistency and controllability of anti-fatigue basic conditions are improved.

The invention relates to the technical field of power distribution network dispatching, in particular to a power distribution network dispatching optimization method and device. Constructing a dynamic digital twin of the power distribution network to be dispatched, and reversely correcting a line impedance parameter and an equipment efficiency coefficient in combination with a twin simulation result; multiple scheduling strategies are rehearsed in parallel, and the optimal scheduling strategy is selected through weighted scoring; generating a multi-energy flow collaborative scheduling instruction set according to the optimal scheduling strategy; dynamically distributing a control task by utilizing an edge node; and performing differentiated load response in combination with the power consumption behavior classification of the user. Space-time synchronous acquisition of electricity-heat-gas data is realized by deploying a multi-energy-flow sensor group, a multi-energy-flow collaborative scheduling instruction is generated by combining reverse parameter correction and scene rehearsal optimization of a dynamic digital twin, and dynamic resource allocation is realized based on an edge node dynamic allocation control task and load classification response. The new energy consumption rate capability is obviously improved, and the carbon emission intensity is reduced.

The invention discloses an optical storage and charging dynamic power distribution control method and system based on AI prediction, and the method comprises the steps: collecting photovoltaic, energy storage, charging, power grid and environment multi-dimensional operation data through a sensor network, and obtaining a historical and real-time data set through preprocessing; training an AI joint prediction model by using the historical data set, and outputting a photovoltaic output and charging load demand prediction result; inputting system operation constraint condition parameters to delimit an optimization boundary; solving a power instruction reference value of each power module through a multi-objective optimization algorithm in combination with a prediction result and a constraint condition to realize global optimal distribution; and correcting the reference value based on the hardware operation parameters and the deviation between the predicted value and the real-time value, issuing an instruction, monitoring operation, and triggering fault protection. The method effectively solves the problems that a traditional system is rigid in power dispatching, low in photovoltaic consumption rate, large in energy storage life loss, remarkable in power grid impact, insufficient in prediction precision, high in energy transmission loss and weak in multi-target coordination.

The invention discloses a charging pile module dynamic power distribution control method and a related device, which are used for improving the stability and prolonging the service life of a charging pile during use. The method comprises the following steps: collecting real-time operation data of all charging pile modules in use in a charging pile layout matrix; performing power demand prediction on the real-time operation data according to historical operation records through a prediction model to obtain a prediction result; generating a virtual load mapping space according to the prediction result and an energy coupling relationship, wherein the virtual load mapping space is a mapping model of a charging pile node and an energy flow, wherein the charging pile node takes a charging pile module in use as a node; inputting the virtual load mapping space into a multi-agent collaborative optimization algorithm to obtain a target power value of a charging pile node so as to control a corresponding charging pile module according to the target power value; and recording the control feedback of the target power value as the historical operation record.

Embodiments described herein provide for power distribution control systems and methods. The power distribution control systems and methods estimate one or more signal measurements of one or more nodes of a power distribution network using state estimation, identify a location of an outage in the power distribution network, identify a status of one or more switches that form a configuration to restore power to one or more cells of the power distribution network based on the one or more signal measurements estimated using state estimation, and output control signaling to control the one or more switches based on the identified status.

The invention discloses a new energy automobile endurance mileage increasing system and method based on multi-mode energy collaborative management. The system comprises a multi-mode energy input module which is used for converting solar energy into direct current electric energy through a photovoltaic array and integrating power battery energy and hub motor kinetic energy recovery energy; the predictive management module is used for acquiring front road condition information through a V2X technology and predicting an energy consumption curve based on a deep learning model; the dynamic weight distribution module is used for calculating photovoltaic, battery and kinetic energy recovery weight coefficients through a dynamic weight distribution algorithm according to the real-time vehicle environment information and the prediction result; and the energy distribution control module is used for carrying out weighted distribution on the multi-modal energy based on the weight coefficient and outputting total available energy and a control signal so as to drive electric equipment or charge a battery. According to the invention, the problem of dynamic energy distribution during multi-energy coupling is solved, and the purposes of improving the endurance of urban roads, improving the endurance of expressways, reducing the increment cost of the system and being compatible with a 400V / 800V platform are achieved.

The invention relates to the technical field of power distribution control, and discloses a power grid interactive charging pile power intelligent distribution method and system, and the method comprises the following steps: 1, obtaining the power limit of a power grid, the capacity of a transformer, the safety margin and a non-charging load, and calculating the station-level distributable power; 2, collecting user target and vehicle state data, and calculating target reference power; step 3, determining physical upper limits in a classified and segmented manner, comparing and marking limits, and grading to obtain urgency indexes and constraint labels; step 4, performing correlation analysis based on the urgency degree and the constraint, generating a target tracking weight and setting a smoothing coefficient; step 5, under the constraint of distributable power, setting and optimizing a single adjustment parameter to obtain final power; and step 6, applying a climbing speed limit, quantifying and issuing a power instruction, monitoring an equipment state and redistributing the equipment state in an off-line state. According to the invention, the fair, efficient and stable distribution of the multi-session charging demand is realized while the charging pile meets the power grid safety.

The invention discloses a sparse LU decomposition acceleration method for an FPGA (field programmable gate array) with a flow-sensing high-bandwidth memory, belongs to the technical field of LU decomposition hardware acceleration, and aims to solve the problem of performance bottleneck and efficiency challenge faced by sparse LU decomposition on the FPGA. The acceleration method comprises the following steps of data stream preprocessing, wherein matrix data and metadata are stored and packaged based on a sparse storage format; customizing an FPGA hardware accelerator: carrying out HBM channel allocation and collaborative design of a control unit and memory management; parallel data flow management and scheduling are carried out, and sparse LU decomposition is executed; timely data supply is ensured through a multi-stage pipeline prefetching mechanism; and transmitting the task flow and the data flow to a special parallel processing engine for MAC / DIV calculation in combination with a flow sensing synchronous scheduling strategy.

The invention discloses a multi-energy complementary power distribution control method, belongs to the technical field of electric power system control, and aims to solve the problems that an existing multi-energy system control method based on periodic instruction issuing is heavy in communication burden, response lags when sudden disturbance is dealt with in two scheduling intervals, and the power distribution efficiency is poor. And the operation economy and the dynamic stability are difficult to consider at the same time. The method comprises the steps that an upper-layer optimization controller generates virtual impedance potential field function parameters and key topological characteristics and issues the virtual impedance potential field function parameters and the key topological characteristics to a local controller; the local controller executes power control based on the potential field gradient and monitors the topological position of the operation point; when a topology crossing event is detected, an asynchronous event triggering signal is sent upwards, and an upper-layer controller is triggered to carry out aperiodic re-planning. According to the method, decoupling of economic optimization and dynamic control is realized, the robustness and the adaptive capacity of the system under disturbance are improved, meanwhile, the communication burden is reduced, and the method is suitable for a system containing a large amount of distributed energy.

The invention relates to the technical field of power distribution equipment, and discloses heat-dissipation power distribution control equipment, which comprises a bottom frame, an electrical element body and a cabinet body fixedly mounted at the top of the bottom frame, a top plate is fixedly mounted at the top of the cabinet body, an exhaust box is fixedly mounted at the top of the top plate, and a guide assembly is arranged on one side of the front surface in the cabinet body. The guiding assembly comprises vertical plates fixedly installed on the two sides of the inner bottom face of the cabinet body, guiding plates are installed on the sides, close to each other, of the two side rods, the guiding plates can be sequentially ejected outwards in a stepped mode for guiding through the guiding assembly, and the ejection inclination angle can be adjusted according to the protruding position of an electrical element body. Therefore, the situation that heat is still accumulated at the blocking position of the electrical element body when air is evenly distributed through an air deflector in the prior art is reduced, the air body can be conveniently blown to the vertical side face of the electrical element body during air guiding, the contact area of the air body and the electrical element body is increased, and the contact time of the air body and the electrical element body is prolonged.

The invention relates to the technical field of distributed power supply operation control of a power distribution network, and discloses a node voltage distribution control optimization method, a node voltage distribution control optimization system, node voltage distribution control optimization equipment, a node voltage distribution control optimization medium and a node voltage distribution control optimization product of a power distribution area. And taking the voltage distribution of each node in the whole domain as an initial voltage distribution condition of load flow calculation, and performing load flow calculation on the power distribution area under the condition of meeting safety constraints and a load flow equation to obtain optimal active power output and optimal reactive power output under the condition that the deviation between the voltage of each node in the whole domain of the power distribution area and a preset rated voltage is minimized. The power scheduling instruction is generated through the optimal active power output and the optimal reactive power output, and the local controller of each distributed power supply executes the power scheduling instruction, thereby achieving the global optimization of the voltage of the power distribution network through the cooperative adjustment of each distributed power supply, and effectively improving the quality and reliability of electric energy.

The invention discloses a Baijiu asset digital circulation system and method based on a block chain and digital assets. The Baijiu asset digital circulation system comprises a digital identity generation module, a supply chain management module, a supervision traceability module, a transaction circulation module, an anchoring synchronization module and a financial service module. The digital identity generation module is used for generating a unique digital identity identification code for each bottle / box of white spirit; the supply chain management module comprises a production collaboration sub-module, a storage scheduling sub-module, a logistics tracking sub-module, a distribution management and control sub-module, a supervision traceability module, a Baijiu full life cycle data traceability and abnormal transaction early warning and transaction circulation supporting module, and a Baijiu digital asset overall transaction and NFT fragmentation transaction supporting and anchoring synchronization module; the dynamic state synchronization of the Baijiu digital assets and the physical Baijiu is realized through the Internet of Things equipment, and the financial service module dynamically evaluates the loan amount of the Baijiu digital assets based on supply chain data and provides a disposal mechanism of overdue digital assets.

The invention discloses a vehicle power distribution method, device and equipment based on a centralized domain controller, and a storage medium. The method comprises the following steps: collecting multi-source vehicle power distribution associated data through a centralized domain controller; wherein the centralized domain controller is a vehicle part integrating a whole vehicle control unit, an intelligent power distribution unit, a communication gateway unit and a redundant power supply module into a single shell; performing fusion processing on the multi-source vehicle power distribution associated data to obtain target fusion data; generating a vehicle power distribution control instruction based on a pre-constructed load power supply priority rule, a preset software configuration rule and the target fusion data; and on-off states of a large-current power distribution module and a small-current intelligent power distribution module of the intelligent power distribution unit are controlled based on the vehicle power distribution control instruction so as to realize power supply of each load. The technical effects of improving the integration level and the control precision of the power distribution system and guaranteeing the power supply stability are achieved.

The invention relates to the technical field of energy consumption intelligent distribution and control, in particular to a multi-load energy consumption intelligent distribution and control method and system based on a distribution box, and the method comprises the steps: obtaining initial operation parameter information of multi-load equipment connected with the distribution box, extracting energy consumption fluctuation characteristics and load response characteristics, and generating an energy consumption load incidence matrix; optimizing the energy consumption distribution proportion of the multi-load equipment based on the energy consumption sensitive index to obtain an energy consumption distribution control configuration table, constructing an energy consumption intelligent distribution simulation model based on the energy consumption distribution control configuration table, and constructing an energy consumption parameter correction model based on the design power supply parameters of the distribution box and the rated parameters of the multi-load equipment, and generating a dynamic energy consumption distribution adjustment scheme based on the energy consumption parameter correction coefficient and the energy consumption distribution control configuration table, and executing energy consumption intelligent distribution and control operation of the multi-load equipment based on the dynamic energy consumption distribution adjustment scheme. According to the invention, energy consumption distribution can be dynamically adjusted according to actual conditions through an energy consumption distribution adjustment scheme, and resource waste is avoided.

The invention relates to the technical field of control of a hybrid energy storage system of a direct-current optical storage overcharge station, and provides a double-layer fuzzy dynamic power distribution control method of a hybrid energy storage system, which comprises the following steps of: performing combined optimization by taking a direct-current bus reference current Idcref, a super capacitor state SOCsc and a storage battery state SOCbat as input; a first-layer fuzzy controller is constructed to dynamically adjust a filtering time constant T to serve as a parameter of a high-pass filter, and an initial power distribution instruction is generated; constructing a second-layer fuzzy controller to dynamically adjust the super capacitor protection state instruction Isc; and finally, based on the data obtained in the above process, adjusting the output reference current of the hybrid energy storage battery and the output reference current of the super capacitor in real time. According to the method, the charge states of the storage battery and the super capacitor are comprehensively considered at the same time to dynamically distribute the power, and the economical efficiency and the safety of operation of the hybrid energy storage system are improved.

The invention discloses an electric aircraft high-voltage power distribution control method and system, a medium and a product thereof, and relates to the technical field of high-voltage power distribution, and the method comprises the steps: receiving a DC power supply outputted by a power battery pack, and achieving the power-on soft start through a pre-charging loop; distributing electric energy to a motor controller, an auxiliary power supply module, an air conditioning system and an electric heating system through a power distribution level according to the load priority; the power distribution stage integrates multiple solid-state relays or contactors to form load branches. An independent protection unit is configured for each load branch at a load output stage, and the independent protection units monitor voltage, current and temperature parameters in real time and execute fault isolation operation when the monitored parameters exceed corresponding preset thresholds. According to the invention, high-voltage power distribution control with load priority scheduling and branch-level rapid fault isolation is realized under the condition of high power density.

The invention relates to the technical field of power equipment, in particular to a wall-mounted intelligent power distribution control box which comprises a control box shell, an electric fan arranged at the top of the control box shell and a dustproof net arranged at the bottom of the control box shell, and further comprises a flow guide grating mechanism arranged at an air inlet of the electric fan and used for changing the direction of air flow suction of the electric fan. And the temperature change adjusting part is used for acting according to the temperature change and adjusting the flow guide grating mechanism. The flow guide grating mechanism is arranged at the position of the air inlet of the electric fan, heat at the high-heating electrical element is conducted to the temperature change adjusting piece through the heat pipe heat conduction mechanism, and the temperature change adjusting piece can drive the whole flow guide grating mechanism to rotate in a reciprocating mode according to temperature changes. Meanwhile, the lower flow guide grating group and the upper flow guide grating group are driven to perform inclination angle adjustment, so that the air flow suction direction of the electric fan is changed, turbulent flow is formed in the control box shell, and inherent laminar flow can be effectively disturbed through the turbulent flow.

The invention belongs to the technical field of power equipment, and discloses an internal fire prevention and spontaneous combustion prevention integrated energy-saving power distribution control cabinet which comprises a power distribution cabinet, a sealing door and ventilation openings formed in the power distribution cabinet at equal intervals, and further comprises a pressure box installed at the top of a cavity of the power distribution cabinet and used for storing carbon dioxide, and an infrared flame detector and a visual sensor are fixedly mounted at the bottom of the pressure box. According to the scheme, when the infrared flame detector and the visual sensor are used for detecting that electric appliance elements in the power distribution cabinet are in fire, the electromagnet is powered off, the inner plate is pushed to move outwards under the action of pressure in the pressure box and the flow guide plate, and carbon dioxide sinks in the power distribution cabinet under the guidance of the inclined plane; and the carbon dioxide is adopted to replace a dry powder extinguishing agent, so that the protection effect of the device on electrical components in the power distribution cabinet is improved.

The invention discloses a distributed electrically-driven vehicle driving system failure fault-tolerant control method, which comprises the following steps of: acquiring fault factors of each electric wheel in real time based on a state monitor, and constructing a fault factor matrix; based on the fault factor matrix, establishing a dynamic unified model including longitudinal, lateral and yawing motion of a vehicle body and rotational motion of wheels; calculating and dynamically adjusting the target total driving force and the target yawing moment of the whole vehicle according to the current total driving force demand of the vehicle and the motion state of the vehicle on the basis of a dynamic unified model and the fault factor matrix; constructing an optimization model of an electric wheel torque distribution controller by taking the minimization of the sum of the tire attachment utilization rates as an optimization target; and solving the optimization model of the electric wheel torque distribution controller to obtain the optimal driving torque of each wheel, and outputting and executing the optimal driving torque.

The invention discloses a power distribution control method and system based on an urban network, and relates to the technical field of power distribution control, and the method comprises the steps: monitoring the operation parameters of a power grid in a governed power distribution region in real time at an edge calculation terminal disposed at the edge side of a power distribution network; and when it is monitored that the power grid operation parameters are abnormal, determining fault occurrence and a specific position of a fault section based on a preset fault diagnosis model. According to the method, the edge computing terminal is deployed on the edge side of the power distribution network, real-time monitoring of the operation parameters of the power grid in the jurisdiction area is achieved, when the parameters are abnormal, the fault section can be rapidly positioned by means of the preset fault diagnosis model, the fault response speed is greatly improved, and the problem that decision-making time is long in a traditional centralized master station mode is solved. The edge computing terminal can directly generate an instruction isolation fault, and the fault range is prevented from being expanded.