35results about How to "Improve quick response ability" patented technology

The invention provides a distributed photovoltaic energy efficiency dynamic monitoring method based on time sequence analysis, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying an edge calculation node, regularly receiving the electrical operation parameters of a photovoltaic inverter, and recording a monitoring node; predicting photovoltaic output power according to the electrical operation parameters, and obtaining predicted output power; analyzing the power supply log, obtaining actual output power under the monitoring node, forming energy efficiency analysis data based on the monitoring node, the predicted output power and the actual output power, and storing the energy efficiency analysis data in an energy efficiency analysis database; performing power prediction deviation analysis by using the energy efficiency analysis database, and constructing a time period-deviation comparison table; and when grid-connected scheduling is carried out on the distributed photovoltaic equipment, power output compensation is carried out based on the time period-deviation comparison table. The technical problem that the power prediction precision is insufficient due to the fact that a traditional time sequence analysis method lacks accurate analysis for different time periods is solved, and the power prediction accuracy and the grid-connected dispatching quality are improved.

The invention discloses a dynamic traffic distribution and signal control combined optimization method, and belongs to the field of intelligent traffic. The method specifically comprises the steps that firstly, a road section impedance function is constructed, node impedance is introduced to obtain an intersection impedance combination function, and the intersection impedance combination function is optimized through the traffic flow, density and speed relation based on dynamic adjustment parameters, vehicle type differences, weather conditions and traffic flow speed to obtain a combination optimization traffic impedance model; and solving the combinatorial optimization traffic impedance model by using a particle swarm algorithm to output a traffic distribution scheme. According to the method, dynamic traffic distribution and adaptive signal control are integrated, the road network emergency response capability is improved, traffic prediction and signal regulation and control synchronization is realized, and an accurate impedance model is introduced to dynamically adapt to driver preferences, so that congestion is relieved, and travel time and resource allocation are optimized.

The invention relates to the technical field of energy storage technology and voltage sag treatment, and discloses an SE voltage sag treatment method and system based on flexible multiplexing of an energy storage system. A super capacitor is utilized to realize rapid treatment in the early stage of voltage sag, and energy of an energy storage system is utilized to realize continuous treatment in the later stage of voltage sag; a detection method for improving VMD based on TKEO and KC is provided, and real-time accurate detection of voltage sags on the grid side and the load side is achieved; optimal energy compensation is realized through flexible switching of the input and cut-out stages, so that the SE is prevented from jumping and stopping due to phase jump generated by the optimal energy compensation; power frequency division control is carried out on the DC / DC side according to the difference of response characteristics of the super capacitor and the energy storage system; on the DC / AC side, a composite control system comprising a voltage feed-forward loop, a voltage feedback outer loop and a current feedback inner loop is provided, the quick response capability and the anti-interference stability capability of the control system are improved, and a PIQR controller is adopted to eliminate the secondary influence of harmonic waves on the SE.

The invention relates to the technical field of frontier-coast defense radar detection, and particularly discloses a frontier-coast defense radar detection radar system which is provided with a detection radar operation monitoring module, a detection data transmission monitoring module and a detection data analysis module and monitors and analyzes operation state data of frontier-coast defense detection radar in real time. Potential problems of a radar system can be found in time, continuous and stable operation of the radar system is ensured, network transmission performance data of detection data in the transmission process are monitored in real time, the problems in network transmission can be recognized, it is ensured that the detection data can be transmitted to a control platform timely and accurately, and the detection efficiency is improved. By analyzing the acquired detection data, the overall efficiency of the frontier and coast defense monitoring system can be comprehensively reflected, the current safety condition can be accurately evaluated, the intelligent level of the frontier and coast defense radar system can be improved, the quick response capability to potential threats can be enhanced, and the frontier and coast defense safety can be effectively guaranteed.

The invention discloses a distributed multi-node remote sensing satellite multi-mode integrated scheduling method, and belongs to the field of remote sensing satellite ground task management and control. The method comprises the following steps: a main center performs overall management on various remote sensing satellites of each node, performs demand preprocessing, multi-type satellite joint task planning and proper scheduling mode decision aiming at various observation demands, and performs multi-type satellite node task integrated scheduling according to different scheduling modes; and sending the scheduling task order to each corresponding satellite node to perform observation task planning and satellite control implementation, collecting task order states to perform demand state feedback and tracking closed-loop management, and performing iterative scheduling on non-closed-loop demands. According to the method, joint application of multi-type satellite node resources, advantage complementation and sharing service, online scheduling and rapid task implementation are realized, the use efficiency of multi-type remote sensing resources is greatly improved, and the demand timeliness and the observation effect are improved.

This invention discloses an adaptive scheduling method, system, and medium for distribution networks under disturbances caused by renewable energy grid connection. It relates to the technical field of distribution networks and includes: real-time data collection from renewable energy grid connection points to obtain a multi-source sensing dataset for disturbance event identification, resulting in multiple disturbance events; dynamic partitioning of the distribution network based on disturbance type labels and spatiotemporal characteristics to determine multiple autonomous control areas; distributed collaborative optimization using a regional dynamic equivalent model to generate multiple local scheduling strategies; and integration of these local scheduling strategies for global coordination and verification to generate and execute adaptive scheduling instructions for the distribution network. This invention solves the technical problems of delayed response to renewable energy grid connection disturbances, poor efficiency of centralized control, and difficulty in balancing local autonomy and global coordination in existing technologies. It achieves the technical effects of improving the distribution network's rapid response capability to disturbance events, the regional adaptability of scheduling strategies, and the overall operational safety and reliability.

The invention discloses a hierarchical control method, system and device based on an MMC type multi-port power electronic transformer and a medium, the system comprises an upper computer, a mainboard DSP, a mainboard FPGA, an FPGA of a bridge arm control board, a sub-module of the bridge arm control board and a power main loop, the upper computer is connected with the mainboard DSP, the mainboard DSP is connected with the power main loop and the mainboard FPGA, the sub-module of the bridge arm control board is connected with the power main loop, and the mainboard FPGA is connected with the sub-module of the bridge arm control board. The mainboard FPGA is connected with the FPGA of the bridge arm control board, the FPGA of the bridge arm control board is connected with the sub-module of the bridge arm control board, and the method, the system, the equipment and the medium can improve the real-time performance and the stability of the system and reduce the complexity of the system at the same time.

The present application belongs to the technical field of geological engineering monitoring, and particularly relates to a geological stability monitoring device for salt cavern energy storage, aiming to solve the problems of single monitoring dimension, existing blind area and insufficient sensitivity in identifying creep. The monitoring device is internally provided with a geological stability monitoring system, and the system comprises: a surface multi-source deformation sensing unit, a shaft deep layer strain detection unit, a microseismic global activity monitoring unit and a cavity shape sensing unit, which are used for collecting surface and deep multi-dimensional data; a geomechanics digital twin and evolution analysis unit, which constructs a mechanics model and dynamically inverts real-time data as a constraint boundary; a stability discrimination and risk early warning scheduling unit, which outputs an evaluation report based on the inversion result and triggers an early warning. Through the deep coupling of multi-dimensional full-space perception and mechanics model, the present application effectively reduces the perception blind area and improves the accuracy of salt rock creep risk prediction, thereby providing a technical guarantee for the long-term safe operation of the salt cavern energy storage power station.

The invention relates to the technical field of turbine rotating speed adjustment, and discloses a turbine rotating speed dynamic adjustment method and system based on machine learning, and the method comprises the steps: obtaining the environment information and water flow information of a target water area, and substituting the environment information and the water flow information into a pre-established water flow fluctuation model, and acquiring preset water flow fluctuation data of the target water area in the preset time period. And acquiring real-time water flow data of the target water area in a preset time period, comparing the real-time water flow data with the preset water flow fluctuation data, and determining a preset turbine rotating speed of the turbine according to a comparison result. And the real-time rotating speed of the turbine is obtained, and the turbine is adjusted according to the rotating speed difference value between the real-time rotating speed and the preset rotating speed of the turbine. The environment information and the water flow data are combined with the preset water flow fluctuation model, the turbine rotating speed and the water flow condition are compared in real time, dynamic adjustment of the turbine rotating speed is achieved, and the stability of the power generation voltage of the hydroelectric system under different water flow conditions is improved.

This invention discloses a configurable and customized development method and system for a GIS-based marine single-map system, relating to the field of marine geographic information system development, and solving the problems of repetitive GIS construction and low iteration efficiency in existing systems. The method includes: designing a configurable database with four logical zones, enabling configurability of functions, menus, layers, etc.; customizing and encapsulating general functional templates for spatial information tables, layer trees, statistical charts, and spatial analysis based on object-oriented principles; and completing system configuration based on the database and templates, achieving front-end and back-end linkage and fully automated data processing. The system includes a configurable database, template customization and development, and a system configuration and operation module, supporting four-level business collaboration, rapidly integrating multi-source data, and providing auxiliary decision support. This invention improves system configuration flexibility and development efficiency, providing support for marine business management decisions and emergency response.

The invention aims to provide a singular perturbation theory-based dual-time-scale optimization control method for a human-micro-grid system, and belongs to the technical field of micro-grid system control. According to the method, a singular perturbation theory is adopted to decompose rapid electrical response and slow consumer motivation evolution of a micro-grid system into different time scales, and targeted optimization control strategies are respectively formulated. According to the method, the quick response capability of the micro-grid under transient disturbance is effectively improved, and meanwhile, long-term optimization under a steady-state condition is ensured, so that the stability and the operation efficiency of the system are remarkably improved. Different from a traditional control strategy, the time does not need to be divided into a plurality of time windows, and therefore the more accurate and efficient control effect is achieved.

The invention discloses a long-distance direct-current transmission line fault identification method. The method comprises the following steps: acquiring positive and negative pole line voltages, performing Karen Bell transformation on the two pole line voltages to obtain line modulus voltages, performing difference on the modulus voltages to obtain a first-order difference, constructing a first-order difference quadratic sum, and introducing a db4 wavelet first scale filter high-frequency detail coefficient h; and carrying out convolution on the first-order difference quadratic sum and the first-order difference quadratic sum, selecting a high-frequency detail coefficient h, constructing an internal and external fault discriminant and an internal and external fault criterion, and carrying out other steps to recognize the fault of the long-distance direct-current transmission line. The blocking effect of smoothing reactors on the two sides of the power transmission line of the double-end flexible direct-current power transmission system on the high-frequency component in the fault electrical quantity is utilized, so that the high-frequency quantity comparison is more obvious when faults occur inside and outside the area, and the protection accuracy is improved.

The invention relates to laser marking equipment and a working method, and belongs to the technical field of metal machining. The laser marking equipment comprises a rack, a first material stacking mechanism, a second material stacking mechanism, a marking table, a laser marking machine, a carrying manipulator and a layering device, wherein the marking table is arranged below the laser marking machine; the first material stacking mechanism is used for collecting workpieces to be marked, the second material stacking mechanism is used for collecting marked workpieces, the first material stacking mechanism and the second material stacking mechanism are arranged on the peripheral side of the marking table, and the laser marking machine is used for conducting laser marking on the workpieces arranged on the marking table. The carrying manipulator is used for transferring the workpieces on the first stacking mechanism to the marking table and transferring the marked workpieces from the marking table to the second stacking mechanism; the layering device is used for grabbing the spacing pieces and placing the spacing pieces on the tops of the stacked workpieces on the second stacking mechanism. According to the invention, the rapid circulation of the workpiece in the marking process is realized, the production efficiency is improved, and the manual intervention is reduced.

The invention relates to the technical field of intelligent risk control, in particular to an automatically updated intelligent risk control system, which comprises a key factor analysis module, a dynamic probability mapping module, a distribution weight adjustment module and a risk control rule analysis module. According to the method, accurate analysis of core financial risk control factor association levels and scientific classification of secondary financial risk control factors are realized by analyzing the interaction strength, the fluctuation amplitude and the trigger threshold range of the financial risk control factors, the recognition capability of complex risk relationships and influence chains is improved, and the risk management efficiency is improved through a dynamic dependency relationship structure. The method comprises the following steps: optimizing trigger association analysis, enhancing the adaptive capacity to a dynamic risk scene, combining a weight attribution value and dependency analysis, optimizing factor distribution characteristics, enhancing the regulation and control capacity to risk factor priorities, dynamically adjusting the relationship between financial risk control factors and risk control deployment, and improving the real-time evaluation and regulation and control capacity to risk events. Compared with the prior art, the precision, the flexibility and the efficiency are remarkably improved.

The invention discloses an energy storage system response time shortening method for rapid peak regulation of a coal-fired unit, and belongs to the technical field of coal-fired units and thermochemical energy storage. The method comprises the following steps: S1, determining a target output curve of a rapid peak regulation stage; s2, quantifying factors influencing the target duration t1 of the rapid peak regulation stage into a supply side response time parameter and a response side time parameter; s3, calcium carbonate particle mass flow and inlet carbon dioxide mass flow required for shortening the target duration t1 of the rapid peak regulation stage are obtained; s4, enabling the electric heating output power to reach the power required by peak regulation; and S5, performing online real-time correction according to the heating state and the reaction state. According to the invention, quantifiable improvement of the rapid peak regulation capability is realized. Rapid climbing and on-demand establishment of heat storage power are achieved, and the instant increasing capacity of the load reduction rate of the unit is improved. The operation stability and safety margin of the heat storage reactor can be maintained while the quick response capability is improved.

The invention discloses an active heat supply guarantee control method and device based on a thermoelectric operation feasible region, and belongs to the technical field of combined heat and power generation and comprehensive energy. By establishing a coal power unit thermoelectric coupling model, an electric boiler power-thermal power mapping model and a heat supply network dynamic model, a unit operation state and heat supply network data are collected in real time; based on wind power prediction, heat load prediction and electricity price information, generating an optimal scheduling scheme including a unit power generation heat supply plan and an electric boiler power plan; when it is monitored that output is abnormal or the heat load suddenly increases, the mode is automatically switched to a heat supply guarantee mode, and the power of the electric boiler is dynamically adjusted to compensate heat supply vacancy; model predictive control is adopted to carry out rolling optimization and feedback correction on a control instruction, it is ensured that a coal power unit operation point is always in a thermoelectric feasible region, and meanwhile it is ensured that parameters of heat supply network key nodes are stable. The reliability and the operation economy of the heat supply system are improved.

The present invention relates to the technical field of data processing, and discloses a high-speed power line communication method and system based on dual-mode communication, which is used to improve the efficiency of high-speed power line carrier communication based on dual-mode communication. The method includes: real-time monitoring and noise analysis and detection processing of power grid parameters to obtain power grid communication quality event reports; collecting and phase comparison analysis processing of voltage waveform samples to obtain phase identification results and load balancing optimization strategies; encrypting communication data and transmitting communication strategies to obtain target communication links and update system firmware information; channel screening and strategy generation through target communication links and update system firmware information to obtain target communication channels and target communication strategies, and automatically registering and hierarchical data collection processing of smart meters to obtain meter registration information and hierarchically managed electricity consumption data and perform high-speed power line carrier communication control.

The invention discloses an all-terrain anti-skid shoe sole which comprises a shoe sole body and at least one set of overturning components installed on the shoe sole body in an overturning mode, and the overturning components can overturn relative to the shoe sole body so as to adapt to different terrains. The overturning component comprises a supporting frame, protrusion matching parts and key bodies, the protrusion matching parts are arranged on the two sides of the supporting frame and used for achieving running fit, and the key bodies are in running fit with the protrusion matching parts. The overturning component which can be installed in an overturning mode is arranged on the shoe sole, so that the supporting frame can be rapidly overturned relative to the shoe sole; therefore, the shoe sole can rapidly adapt to various complex terrains such as ice and snow, mud and rocks, and potential safety hazards caused by poor terrain adaptability of an existing fixed type anti-skid shoe sole are avoided. And the technical contradictions of inconvenience in operation, insufficient durability and poor mechanism stability caused by structural homogenization of the existing reversible shoe sole are overcome.

The invention relates to the field of energy storage, and provides an energy storage and heat storage system and an energy storage and heat storage method. The energy storage and heat storage system comprises an air compressor; the heat storage heat exchanger is in fluid communication with the air compressor; the regenerative heat exchanger is connected to the heat storage heat exchanger in parallel through a first loop; a photo-thermal heat collector; the photo-thermal heater is in fluid communication with the photo-thermal collector, and the photo-thermal collector and the photo-thermal heater are connected to the first loop in parallel through a second loop; the air expansion machine is in fluid communication with a fluid outlet of the photo-thermal heater; the bypass air blower is connected to the air expansion machine in series, and the bypass air blower is in fluid communication with a fluid outlet of the air expansion machine. The heat and energy storage system can have the capacity of being rapidly started at any time and responding to a scheduling instruction, the dynamic response characteristic of the system is greatly improved, the reliability and stability of the system are improved, the energy efficiency of the system is improved, the operation cost is reduced, dependence on traditional energy is reduced, and therefore greenhouse gas emission is reduced.

The invention provides a data supervision method and device based on a task scheduling platform, equipment and a medium, and relates to the technical field of data security. According to the method, automatic creation and scheduling of the data supervision task are realized through the task scheduling system pre-configured by the visual task scheduling platform, so that the supervision efficiency and accuracy are improved; through a supervision result obtained through data analysis, the collected first supervision data is deeply analyzed, and comprehensiveness and meticulousness of supervision are ensured; and when abnormal data is found in the data analysis result, abnormal alarm information is generated in time, and the information is sent to the server according to the preset alarm mode, so that the real-time performance of supervision is improved, the quick response capability to potential risks is enhanced, and the reliability and safety of data supervision are integrally improved.

The present invention relates to the field of geological disaster monitoring and early warning, and in particular to a slope disaster early warning method and system. The method comprises the following steps: establishing a spatiotemporal database, storing and managing pre-processed slope data from a variety of monitoring sources, and collating to obtain a slope disaster data set; extracting features from the slope disaster data set to obtain a key information set reflecting the characteristics of the slope disaster; analyzing the key information set to obtain a slope disaster value; based on the slope data in the spatiotemporal database, calculating the early warning threshold and real-time displacement prediction value of the slope, and fusing the real-time displacement prediction value and the slope disaster value to obtain a fusion value; based on the obtained fusion value and early warning threshold, evaluating the real-time stability of each monitoring section of the slope, and judging whether to issue an early warning signal and an alarm signal based on the evaluation result. The present invention realizes the accurate identification of slope disaster values ​​and potential risk areas, and improves the accuracy and reliability of the early warning system.

The application provides a ventilator internal gas path microorganism microfluidic enrichment and rapid detection system, and belongs to the technical field of ventilators. The system comprises a gas path sampling module, which is used for obtaining gas path sample information; a microfluidic enrichment module, which is used for outputting corresponding enrichment detection signals; a signal preprocessing module, which is used for generating microorganism state data of a target ventilator internal gas path; a multi-parameter data acquisition module, which is used for constructing a microorganism concentration feature data set; a gas path microorganism analysis module, which is used for obtaining a microorganism pollution state coefficient of the target ventilator through comprehensive calculation, and constructing a gas path risk situation coefficient of the target ventilator based on the microorganism pollution state coefficient of the target ventilator; and a microorganism risk analysis module, which is used for calculating a microorganism risk evaluation coefficient of the target ventilator. The application can improve the operation safety and stability of the ventilator.

This invention relates to a stage lighting effect adjustment device and a stage light thereof, comprising a light effect adjustment input module, a microprocessor, a power supply module, and an LED module. The microprocessor controls the power supply module to output a current value within the set current range to the LED module according to a set current range. The light effect adjustment input module inputs an analog signal corresponding to the desired light effect to the microprocessor. The microprocessor converts the received analog signal into a digital signal, and then converts the digital signal into a PWM signal and outputs it to the power supply module. The power supply module outputs a corresponding current to the LED module according to the PWM signal. Compared with the prior art, this technical solution has high compatibility, can be applied to different rated currents of various types of LEDs, and can effectively prevent LED burnout due to excessive current output by setting different current ranges.

This application belongs to the field of UAV path planning technology, and provides a method for closed-loop 3D path planning and local replanning of UAVs in a GIS room. The method includes: first, constructing a 3D space of the GIS room containing safety expansion obstacles, and determining the feasible region and inspection constraints; then, establishing a topology guidance model based on the inspection channel and calculating the comprehensive edge cost; next, decomposing the sequential inspection task into a local connectivity problem, searching for node sequences and generating local 3D paths that satisfy the constraints, and forming an initial closed-loop path through splicing and verification; then, obtaining the nominal path through bias suppression and redundant point deletion; when a local conflict is detected, replanning alternative flight segments in the adjacent topology subgraph to complete the local update; finally, outputting the closed-loop inspection path. This application can integrate topology guidance and closed-loop splicing mechanisms to synergistically improve the regularity of GIS room inspection paths, the completeness of task coverage, and the response capability of local replanning.

The invention discloses a short-time electric power meteorological disaster identification method and system based on multi-source observation data fusion, and particularly relates to the field of electric power system data processing and meteorological disaster situation prediction.The method comprises the steps that edge monitoring points are arranged at power transmission lines, transformer substations and key positions, meteorological data and electric power data are continuously collected, and the meteorological data and the electric power data are acquired; synchronizing the collected meteorological and electric power data according to a unified time interval, pairing and merging the data in the same time period according to a timestamp and a spatial position, and calculating an average value, a variation amplitude and a fluctuation trend through a sliding window mode to form a monitoring data set; according to the invention, synchronous acquisition of meteorological and power data is realized at an edge monitoring layer, pairing merging and sliding window calculation are performed according to a timestamp and a spatial position, and a situation prediction process of a self-correction cycle is formed in combination with a disaster risk value and a deviation proportion, so that joint analysis of meteorological changes and power equipment states is realized.

The application discloses a collimating driving joint and a transmission transparency design method thereof, and belongs to the field of robot joint design. The method comprises the following steps: based on a transmission transparency evaluation system comprising quick response ability and torque sensing ability, key parameters of a reducer and a motor which need to be cooperatively optimized are determined; and in order to simultaneously improve the two abilities, the key parameters are subjected to correlation matching and synchronous optimization design. The application firstly establishes a systematic transmission transparency design method, and through parameter cooperative optimization, the interactive safety and response performance of the joint are significantly improved.

The application discloses a kind of distributed multi-node remote sensing satellite multi-mode integrated scheduling method, belong to remote sensing satellite ground task management and control field.The method includes: main center carries out overall management to each node each type remote sensing satellite, for each type observation demand, demand preprocessing is carried out, multi-type satellite joint task planning, decision suitable scheduling mode, according to different scheduling mode carries out multi-type satellite node task integrated scheduling, sends scheduling task order to corresponding each satellite node and carries out observation task planning and satellite control implementation, gathers task order state and carries out demand state feedback and tracking closed loop management, carries out iteration scheduling to un-closed loop demand.The application realizes multi-type satellite node resource joint application, complementary advantages and shared service, online scheduling and task fast implementation, greatly improves the use efficiency of multi-type remote sensing resource, and improves demand timeliness and observation effect.

The invention relates to the technical field of new energy power safety management, in particular to an integrated safety management platform for construction and operation and maintenance stages of a new energy power station. Synchronously acquiring personnel, equipment and environment multi-source data in a construction period and an operation and maintenance period through a multi-modal data acquisition layer; after preprocessing of the edge computing gateway layer and judgment of a local threshold value, construction and operation and maintenance sub-twinborn models are constructed by a cross-period safety twinborn modeling module and are mapped and aligned, so that hidden danger cross-period association is realized; the intelligent analysis module performs conjoint analysis on the fused data to predict illegal behaviors and accident probability; the safety index calculation module quantifies safety indexes and divides risk levels in combination with the multi-dimensional difference degree; the dynamic double-domain isolation module dynamically generates a dangerous area according to the risk level and executes intrusion judgment; and the linkage control module realizes safety control through equipment interface interlocking according to a judgment result, so that the construction operation and maintenance cooperative safety protection capability is improved.

The invention discloses an expressway dynamic risk level assessment method and system for vehicle-road cooperation, and relates to the technical field of risk level assessment. The expressway dynamic risk grade assessment method for vehicle-road cooperation comprises the following steps: acquiring road video stream data and environmental meteorological data of each traffic road section in a set expressway; based on a pre-trained highway risk identification model, in combination with video stream data of each traffic road section in a set highway, a traffic risk feature set of the corresponding traffic road section is analyzed, based on environmental meteorological data of each traffic road section, an environmental interference feature value of the corresponding traffic road section is analyzed, and in combination with the traffic risk feature set, a highway risk identification model is established. According to the method, the highway global risk feature values in the set highway are analyzed, risk level assessment is carried out on the set highway based on the highway global risk feature values, so that potential risk features of the whole highway section in different states can be accurately captured, and the risk assessment precision is remarkably improved.

The invention relates to an unmanned aerial vehicle enhanced emergency communication and rescue system, and belongs to the field of unmanned aerial vehicle auxiliary communication. Comprising an unmanned aerial vehicle module which is deployed on an unmanned aerial vehicle body and is used for executing a multi-antenna unmanned aerial vehicle auxiliary ground rescue team member communication method, performing accurate communication with a ground rescue team member module, obtaining rescue information sent by the rescue team member module and sending the rescue information of multiple rescue team members to a rescue center module; the rescue team member module is carried by rescue team members on a rescue site and used for communicating with the unmanned aerial vehicle, receiving instructions and information of the unmanned aerial vehicle and sending support request information to the unmanned aerial vehicle when necessary; the rescue center module is deployed in a fixed rescue command center and is used for dispatching rescue team members and distributing rescue materials based on the rescue information acquired by the unmanned aerial vehicle module; wherein the rescue information comprises one or more of disaster area positions, disaster victims, personnel injury conditions, and types and quantity of required materials. And efficient recovery of rescue field communication is realized.