462results about How to "Solve efficiency problems" patented technology

The invention relates to a resource-limited large model heterogeneous training method, computer equipment and a storage medium, and the method comprises the steps: determining a first activation amount according to a dependency relationship between calculated amounts corresponding to the activation amounts and / or the calculated amount and the storage amount of each activation amount in the activation amounts generated when an image processor carries out model forward propagation, the first activation amount is asynchronously transmitted to the central processing unit; loading a first activation amount to the image processor from the central processing unit in a model back propagation process; obtaining the gradient of the model parameter calculated by the image processor based on the first activation amount, and asynchronously transmitting the gradient to the central processing unit; and determining an optimizer obtained based on gradient updating in the central processing unit, obtaining model parameters obtained by adjustment of the updated optimizer, and asynchronously transmitting the model parameters to the image processor. By adopting the method, the problems that a large model with limited video memory resources is difficult to train and the computing efficiency of a video card is low can be solved.

The invention belongs to the technical field of positioning and navigation, and particularly relates to a line inspection method and system for unmanned aerial vehicle airborne power grid X-ray detection equipment. According to the method, a positioning unmanned aerial vehicle is used for determining a hovering point of a transportation unmanned aerial vehicle on a power transmission line, after the hovering point is sent to a positioning navigation unit, the positioning navigation unit carries out coordinate system unification and flight path planning, and the transportation unmanned aerial vehicle receives a flight instruction sent by the positioning navigation unit; carrying the power grid X-ray detection equipment to fly to a hovering point according to the path planning of the positioning navigation unit; and releasing the power grid X-ray detection equipment, analyzing the acquired X-ray image by the power grid X-ray detection equipment, and transporting the unmanned aerial vehicle recovery equipment after the acquisition task is completed. According to the invention, the difficulty in releasing and recovering the power grid X-ray detection equipment can be reduced, and the detection efficiency is improved.

The invention discloses a cable production quality detection method and system, and the method comprises the steps: obtaining a cable insulation layer surface image with qualified production quality, generating an image fingerprint, and storing the image fingerprint in a qualified cable database; after insulation injection molding of the current cable is completed, shooting an image of a cable insulation layer once every s second through three camera devices surrounding the cable; performing image compression and graying processing on the three shot cable insulation layer images at different angles, then performing discrete cosine Fourier transform, generating a transformation coefficient matrix, and then taking out a sub-matrix as a low-frequency domain matrix; generating a binary sequence through the low-frequency domain matrix and converting a hexadecimal character string; image fingerprints are obtained from a qualified cable database, the Hamming distance is calculated through the image fingerprints and hexadecimal character strings, and whether surface defects of the insulating layer occur or not is judged. According to the method, automatic quality monitoring in the cable production process is achieved, high detection accuracy is achieved under the condition that the detection speed is guaranteed, and the calculation process is simple.

The invention discloses a document generation method and device, a storage medium and electronic equipment, and relates to the field of artificial intelligence. The method comprises the steps of obtaining a target template, table data and a target theme input by a target user; determining a target directory title associated with the target theme according to the target template; the semantic similarity of the table data, the target content and the target directory title is calculated, the target content is text content obtained from a target library and associated with the target theme and the target directory title, and the target library is a database comprising data and documents associated with multiple services; and matching the table data and the target content to a corresponding target directory title according to the semantic similarity to obtain a target document corresponding to the target topic. According to the method and the device, the technical problems of low efficiency and low accuracy when a traditional method is used for processing document automatic generation are solved.

The invention relates to the technical field of ecological management, in particular to mud flat spartina alterniflora harvesting and baling equipment and management system.The mud flat spartina alterniflora harvesting and baling equipment comprises a main body, and a harvesting module, a picking module, a baling module, a power system, an ecological restoration module and a discharging and transporting system are arranged in the main body; the harvesting module and the picking module respectively comprise a harvesting assembly and a picking assembly, and the power system is used for driving the harvesting assembly and the picking assembly. The rotary motor serves as a power source to drive the harvesting assembly, the picking assembly and the conveying assembly to work, the structure is ingenious, and electric energy consumption is reduced; the mudflat spartina alterniflora harvesting and baling treatment system has the advantages of being efficient, environmentally friendly and intelligent, and the efficiency problem in spartina alterniflora removal and treatment can be effectively solved.

The invention relates to the technical field of ball mill optimization, and discloses an intelligent optimization method for a wet ball mill of a coal-fired power plant, which comprises the following steps: S1, pre-checking the wet ball mill and matched equipment thereof, and accessing a distributed control system through the Internet of Things technology to obtain real-time operation parameters; the invention also discloses an intelligent optimization system for the wet ball mill of the coal-fired power plant, which comprises the following modules: a data acquisition layer module used for accessing the distributed control system through a sensor to obtain the real-time operation parameters of the wet ball mill; and the data analysis layer module is used for carrying out cleaning, feature extraction and modeling analysis on the acquired real-time operation parameters. Through the artificial intelligence Informer large model and the IoT technology, intelligent prediction and dynamic optimization of the wet ball mill are achieved, consumption of steel balls and electric energy is reduced, economic benefits are improved, the system supports multi-mode operation, the data visualization technology is combined, manual monitoring limitation is eliminated, and management efficiency and safety are improved.

The embodiment of the present invention discloses a data processing method, device, equipment and storage medium based on sentiment analysis, the method comprising: obtaining financial field review text data of a target date; inputting the financial field review text data into a hybrid neural network to obtain sentiment analysis results of the financial field review text data of the target date; generating financial market trend data of a target associated date according to the sentiment analysis results of the financial field review text data of the target date. The technical solution of the embodiment of the present invention can realize the automatic analysis and processing of financial field sentiment data, improve the accuracy and efficiency of the analysis and processing of financial field sentiment data, and thus improve the guidance and applicability of financial field sentiment data.

The invention discloses a method for evaluating the recoverability of vegetation in an engineering disturbance area. The current vegetation restoration engineering has many problems in practice. Eight key environmental indexes including monthly precipitation, monthly average temperature, soil utilization type, soil moisture content, soil freeze-thaw days, altitude, gradient and vegetation coverage are selected to assess regional ecological conditions, standardized processing and multi-factor overlay analysis are adopted, grid algebraic operation is combined, processed data are substituted into a vegetation recoverability assessment model, and a vegetation recoverability assessment model is established. Results are visualized through a GIS spatial analysis technology, an evaluation chart is generated, and comprehensive evaluation of vegetation restorability is achieved; and a geographic detector model is further utilized to detect and analyze key factors influencing the vegetation restorability and the interaction of the key factors. According to the method, the problem of low vegetation restoration efficiency or failure caused by lack of scientific evaluation in the existing vegetation restoration project is solved.

The invention discloses an automobile cabin software control method and system based on multi-mode interaction, and relates to the field of multi-mode data, and the method comprises the steps: S1, multi-source signal synchronous collection and timestamp calibration; a user voice instruction, a gesture track and eye fixation point information are collected in real time through a distributed sensor array; according to sensor data, a three-level synchronization architecture is combined with a PTP precise time protocol to achieve microsecond-level clock synchronization, a unified time service timestamp is embedded in a data packet header, and the timestamp error is controlled within + / -0.5 ms; s2, dynamic environment interference compensation; the method comprises the following steps: constructing an environmental noise perception model; the construction of the environmental noise perception model comprises the following steps: starting a regional strong light suppression algorithm for a strong light scene with the illumination intensity greater than 10,000 lux; activating a motion compensation module for a bumpy scene with a vertical acceleration greater than 0.3 g, and outputting an environment compensation multi-modal data stream; s3, analyzing time-space association semantics; and S4, confidence decision and instruction execution.

The invention provides a work plan management method and device based on an intelligent management and control platform. The method comprises the following steps: firstly, obtaining an annual work plan, generating a preliminary target file through an automatic importing function, then setting rules according to the work field and category, carrying out verification and error correction on the target file, generating a corrected monthly plan file, then correcting the monthly plan through a temporary work plan, and forming a final weekly and daily work plan. And the completion progress is visually displayed in real time. According to the application, automatic proofreading, automatic splitting and automatic issuing of the annual plan are realized through the intelligent management and control platform, and the corresponding port is set for workers to modify the monthly plan and add the temporary plan, so that automation of planning and overall planning is realized, and the problem that in the prior art, all work planning, distribution and overall planning work are completed manually, and the working efficiency is high is solved. The efficiency is low and the accuracy is difficult to guarantee.

The utility model is applicable to the technical field of vegetable seedling raising, and provides an automatic substrate filling device for a planting plate for vegetable seedling raising, which comprises a base, and a rack is fixedly mounted at the top of the base; the stock bin is used for containing a matrix for vegetable seedling raising, and the bottom of the stock bin is fixedly communicated with a filling pipe; the collecting hopper is arranged on the base, and a placing seat is arranged in the collecting hopper; the placement seat is provided with a planting disc used for receiving and containing a matrix; and the adjustable trowelling plate is used for trowelling the matrix in the planting plate and is arranged in the collecting hopper. According to the automatic substrate filling device of the planting plate for vegetable seedling culture, provided by the scheme, the efficient and uniform filling of the substrate is realized by integrating the automatic discharging mechanism and the stirring and blending mechanism; and the problems of low efficiency and non-uniform filling in a traditional manual filling mode are also solved.

The invention discloses a barrier gate deviation correction method and system based on machine vision. The method comprises the steps that barrier gate rod position deviation data and acceleration are obtained in real time through a machine vision system; when the deviation data is greater than a smoothness threshold value, performing calculation to obtain an initial deviation correction speed; carrying out barrier gate motion state analysis operation to obtain a deviation correction speed; carrying out adaptive adjustment operation by adopting an adaptive adjustment algorithm based on PID (Proportion Integration Differentiation) control to obtain a dynamic deviation correction speed; inputting the dynamic deviation correction speed and the deviation data into a pre-trained barrier gate motion control model to obtain execution time and execution amplitude; based on the correction efficiency optimization target, carrying out optimal correction speed judgment operation to obtain an optimal correction speed; and performing correction process completion condition judgment operation to obtain a judgment result, and ending the correction process or re-executing calculation according to the judgment result to obtain an initial correction speed. According to the method, the deviation correction speed can be dynamically and stably optimized according to the real-time deviation data and the motion state.

The invention provides an efficient multi-target vehicle trajectory prediction method based on multi-scale image convolution, and belongs to the technical field of intelligent traffic and automatic driving. The technical problems that an existing prediction method in a complex traffic environment is insufficient, and especially the efficiency and the precision are insufficient under the multi-target condition are solved. According to the technical scheme, the method comprises the steps that firstly, sub-graphs of vehicles and lanes are constructed, and vehicle tracks and lane features are extracted through a multi-scale graph convolutional network; secondly, dynamically adjusting the weights of different target vehicles by using a self-adaptive dynamic weight module; and then, clustering the vehicle motion modes based on the motion feature library. The method has the advantages that feature extraction and prediction performance is improved by combining a high-definition semantic map and adopting a space-time multi-head attention mechanism and a self-adaptive dynamic weight module, and the method shows performance superior to that of the prior art in multiple traffic scenes and has remarkable practical application potential.

According to the aviation grade aluminum alloy plate tension stretching production line, a fixing head assembly and a stretching head assembly are each of an upper and lower beam combined structure, the weight of the fixing head assembly and the weight of the stretching head assembly are greatly reduced, the cost of the aluminum alloy plate tension stretching production line is reduced, and meanwhile the problem that a jaw combination and a jaw driving device are difficult to maintain is solved; jaw combinations and jaw driving devices are independently and symmetrically arranged on upper and lower beams of the fixed head assembly and the stretching head assembly, so that friction between abutting surfaces of a clamping cylinder ejector rod and a jaw sliding block is eliminated, and the service lives of the jaw combinations and the jaw driving devices are prolonged; meanwhile, the jaw combination and the jaw driving device are independently arranged on the upper beam and the lower beam, so that a through material passing groove is formed between the fixed head assembly and the stretching head assembly, and aluminum alloy plates can flow in from one side of a production line and flow out from the other side when being subjected to stretching treatment production, so that a continuous assembly line type production process is formed; and the tension stretching production efficiency of the aluminum alloy plate is greatly improved, and the economic benefits of production enterprises are improved.

The invention provides a power supply time sequence control method and circuit and a motor controller, and relates to the technical field of motor controller power supply control, and the method comprises the steps: initializing a power supply control circuit, in which a chip power supply end, an upper bridge circuit power supply end and a lower bridge circuit power supply end do not supply power; the micro-control unit controls the chip power supply end, the upper bridge circuit power supply end and the lower bridge circuit power supply end to supply power successively, and controls the power supply of the next power supply end after monitoring that the power supply of the previous power supply end is normal, so as to start the power supply control circuit; the micro-control unit monitors the power supply control circuit in real time, and when a circuit under-voltage signal is monitored, power supply of a chip power supply end, an upper bridge circuit power supply end and a lower bridge circuit power supply end is restarted for multiple times in sequence so as to determine a fault position and / or perform fault elimination. The problem that a power supply network integrally enters a protection mode and a non-fault circuit cannot work due to short-circuit protection performed by fuse and chip hiccup protection of an existing power supply is solved.

The invention discloses a simulation debugging method and device for a wireless Lora sensor in a power transformation and distribution station room, and the method comprises the steps: creating a sensor equipment model for the wireless Lora sensor of each sensor type in a gateway machine, and defining the parameter information of the sensor model and the parameter information of a model data point; the parameter information of the sensor model comprises a unique code of the model; configuring sensor data points in a configuration file of the wireless Lora message simulator, constructing a mapping relation between a sensor type serial number and a model unique code, and further establishing a one-to-one correspondence relation between model data points and the sensor data points; in a wireless Lora message simulator, firstly, sensor equipment and sensor data points are added in a mode of loading a sensor equipment model, then, data point values meeting parameter information requirements of the sensor data points are generated through simulation, and finally, the data point values generated through simulation are sent according to a set message sending mode. According to the method, the wireless LoRa sensor can be simulated to generate the data point value of the sensor, and the problem of low data message development and test efficiency caused by dormancy of the wireless LoRa sensor or incomplete type of the wireless LoRa sensor is solved.

The embodiment of the invention provides a power system robust optimization method and device considering meteorological uncertainty. The method comprises the steps of obtaining historical wind and light output data, historical load power consumption data, historical meteorological data and day-ahead meteorological data of a power system; carrying out serialization processing on system elements of the power system to obtain a serialization processing result; based on the serialization processing result and the equivalent reliability index of the electric power equivalent system, determining the credible capacity of the electric power system; performing point prediction on the wind and light output and the load power to correspondingly obtain a wind and light output prediction result and a load prediction result; fitting the wind and light output prediction result and the load prediction result to correspondingly obtain an output prediction power interval and a load prediction power interval; constructing a day-ahead scheduling planning model; performing correction processing on the day-ahead scheduling planning model to obtain an intra-day scheduling optimization model; and solving the day-ahead scheduling planning model and the intra-day scheduling optimization model to obtain a power optimization strategy of the power system.

The invention relates to an online equipment monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting report information sent by equipment, extracting an equipment identifier from the report information, cleaning the report information based on the equipment identifier, and obtaining target information, and under the condition that the information type is the preset information type, de-weighting the target information according to the preset equipment monitoring granularity information to obtain equipment online information, and then displaying and outputting the equipment online information according to the display instruction, so that the reported information is cleaned and de-weighted, and the display efficiency of the equipment online information is improved. The problems of low resource utilization rate and low monitoring efficiency of an equipment monitoring mode in the prior art are solved, and the resource utilization rate and the monitoring efficiency can be effectively improved.

The utility model relates to the field of road construction, in particular to a dust fall enclosure device for municipal road construction, which comprises an enclosure plate, a reinforcing plate is fixedly mounted at the bottom of one end of the enclosure plate, reinforcing bolts are mounted on the surface of the reinforcing plate, two ends of the enclosure plate are connected with upright posts, and the top ends of the two upright posts are connected with mounting plates; by means of the reinforcing plate installed at one end of the surrounding plate, the stand columns are fixed to a construction road surface, meanwhile, the reinforcing plate can be installed on the construction road surface through reinforcing bolts, and therefore the overall stability is improved; the mounting plate can be conveniently fixed to the top ends of the two stand columns through mounting bolts at the two ends of the mounting plate; the maintenance baffle is mounted at the end, close to the mounting groove, of the fixing block, so that the connecting water pipe in the mounting groove can be conveniently maintained, the connecting water pipe is mounted in the mounting groove, a water source can be provided for the atomizing nozzle, and the problem that the construction efficiency is affected due to disordered distribution of the connecting water pipes on a construction site can be solved.

The invention discloses a missing data filling method and device, electronic equipment and a storage medium. The method comprises the steps that missing data is determined according to historical data associated with a building in a set historical time interval, the historical data associated with the building is used for representing equipment data of set equipment in the building, and the equipment data comprises detection data and / or operation data; determining the data type of the missing data according to the attribute information of the missing data, and determining a complement time period according to the time corresponding to the missing data; and acquiring filling data corresponding to the missing data according to the data type and the complement time period, and performing filling operation on the missing data according to the filling data. According to the method, missing data can be automatically identified and complemented, the data processing efficiency and accuracy can be improved, and the problems of a traditional complement method in the aspects of complement efficiency and accuracy are solved.

The present invention relates to the technical field of slaughter house wastewater treatment, particularly to a slaughter house wastewater filtration treatment system, which comprises: a pretreatment module, which comprises a grid for filtering solid pollutants and an air flotation tank for removing grease and suspended solids; the biological treatment module is connected with the pretreatment module and comprises a hydrolysis acidification tank for decomposing the organic matters into small-molecular organic matters and an aerobic tank for decomposing and removing the small-molecular organic matters; the filtering treatment module is connected with the biological treatment module and comprises a sedimentation tank for precipitating the wastewater subjected to biological treatment and a filtering tank which is connected with the sedimentation tank and is used for filtering the precipitated wastewater; the detection module comprises an image acquisition unit arranged in the air floatation tank and water quality detection units arranged in the aerobic tank and the sedimentation tank; the control module is connected with the pretreatment module, the biological treatment module, the filtration treatment module and the detection module, and the slaughter house wastewater treatment efficiency is improved.

The application provides an automatic system and an assembling method of double-line supply integrated assembly, which comprises a first supply line and a second supply line, the first supply line and the second supply line are collected to a positioning assembly output line through a robot taking materials, the first supply line comprises a multi-axis running feeding machine and a secondary positioning platform in sequence, the second supply line comprises a flying feeder, an adsorption material taking device, a clamping material taking device, a point laser height measuring instrument and an upper visual positioning scanning module are arranged on an execution end of the robot, the positioning assembly output line comprises a lower visual positioning module and a product circulation mechanism in sequence, a positioning installation station is arranged on the product circulation mechanism, a material positioning module and a material blocking module are arranged at the positioning installation station, and the execution end of the robot is matched with the flying feeder, the secondary positioning platform, the lower visual positioning module and the positioning installation station in sequence. Through the double-line supply cooperation, multi-stage visual positioning and full-process automation design, the efficiency bottleneck and the precision problem in the assembly of special-shaped parts are effectively solved.

The disclosure provides a large model-based quality inspection method, device, equipment, storage medium and program, relating to the technical field of data processing, specifically relating to artificial intelligence, deep learning and large language model technology, which can be applied in the field of AI medical technology, wherein the method comprises: obtaining to-be-inspected data of a target platform and a target quality inspection prompt template; wherein the target quality inspection prompt template comprises quality inspection task instructions and quality inspection question classification content; splicing the to-be-inspected data and the target quality inspection prompt template to obtain a target quality inspection prompt; inputting the target quality inspection prompt into a target large model to automatically inspect the to-be-inspected data according to the target quality inspection prompt through the target large model, and obtaining first quality inspection data. The embodiment of the disclosure can reduce the artificial quality inspection cost of platform quality inspection and improve the efficiency and accuracy of platform quality inspection.

The invention provides an underground cable position detection method and system based on a ground penetrating radar, relates to the technical field of ground penetrating radar imaging, and provides a fast search method of an optimal migration speed combined with F-FK, which does not need to traverse all speed values in a scanning interval, and only needs to determine a small number of key search points based on a specific sequence. The search interval is dynamically reduced by comparing the information entropy values of the search points, the number of times of calculation of the imaging entropy values is greatly reduced, and the cable data processing efficiency is greatly improved; secondly, the algorithm does not need a fixed scanning interval, the search point determined through the golden section proportion can adaptively focus the optimal speed area, even if the cable penetrates through the concrete-wet soil mixed medium section, the speed sudden change point can be accurately captured, the problem that the real speed is missed at the fixed interval is avoided, and finally, the algorithm is high in convergence speed and high in accuracy. Compared with a traditional method, the processing time of GPR data of a long measuring line and a high-density sampled cable is greatly shortened, and the method can be applied to emergency troubleshooting.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The invention discloses an inspection method, system and device for a fire alarm system, relates to the technical field of fire safety, and solves the technical problems of low inspection efficiency and resource waste caused by the fact that a fixed period polling mode is generally adopted in the prior art, a large amount of redundant communication is generated, and system bandwidth and computing resources are occupied. A to-be-queried queue is constructed based on a state response result; generating an inspection result in an instruction sending mode based on the state type in the queue to be queried; based on the real-time load and the load change trend of the to-be-queried queue, an inspection cycle is generated in a self-adaptive mode, lightweight state response results of all fire-fighting components are rapidly obtained through the variable inspection cycle, then the to-be-queried queue is constructed only for the components with the state changed, and refined detailed state query is carried out. And finally, the next inspection period is dynamically and adaptively generated according to the load condition of the queue, so that the generation of redundant data is eradicated from a communication mechanism, and the problems of low inspection efficiency and resource waste are solved.

This application relates to the field of power systems, specifically to a method and system for assessing the distributed photovoltaic (PV) absorption potential of smart grids. The method includes: calculating the coefficient of variation and its difference from the global value based on the absorption power of smart grid monitoring nodes and meteorological temperature to obtain relative fluctuation difference characteristics; obtaining temperature-power offset characteristics through the linear fitting residual of the coefficient of variation and meteorological temperature; calculating the offset under high-temperature and non-high-temperature environments and subtracting the offset to obtain correlation difference characteristics, thus constructing absorption power sensitive characteristics; constructing seasonal difference characteristics based on seasonal characteristic fluctuations and the proportion of high-temperature days; and introducing the two sensitive characteristics into the objective function of a multi-objective optimization algorithm to solve for the optimal node configuration capacity under constraints with a power flow over-limit reduction mechanism. This application aims to improve the accuracy of PV absorption potential assessment results.

The utility model discloses a high-efficiency water-electricity separation type mold temperature controller, which comprises a water inlet pipeline, a water pump and a water outlet pipeline, a heating assembly is connected in series on the water inlet pipeline, the heating assembly comprises a heating shell, a water diversion box, a water catchment box and a snakelike heating pipeline are arranged in the heating shell, and the snakelike heating pipeline is arranged between the water diversion box and the water catchment box and is communicated with the water diversion box and the water catchment box. The water diversion box and the water catchment box are respectively communicated with the upstream and downstream of the water inlet pipeline, the snakelike heating pipeline comprises a plurality of parallel straight pipe sections and bent pipe sections connected with the opposite end parts of the straight pipe sections, so that a single flow path through which a heat transfer medium sequentially flows through each straight pipe section is formed; an electric heating element is wound or laid on each straight pipe section, and the electric heating elements are physically isolated from the heat transfer medium in the straight pipe sections. The heat exchanger has the advantages of compact structure, large heat transfer area and high efficiency.

The application discloses a flight control oriented OTA upgrading method, system, device, computer readable storage medium and program product, belongs to the field of computer science and technology, and aims to solve the problems of insufficient safety of an existing upgrading process, unreliable data transmission and weak batch management capability for a heterogeneous architecture. The method establishes a first connection, sends a start request frame containing a specific identification code and an inverse code, sets an upgrading flag and resets the flight control, and disconnects the connection. After resetting, a second connection is established, firmware is transmitted and written, an end request frame with the same frame structure is sent, the flight control is finally reset and starts new firmware, and the connection is disconnected. The frame structure containing the identification code and the inverse code, the instruction code and the check code enhances the communication reliability and the anti-interference capability. The stage resetting and the flag mechanism ensure that the upgrading process is controllable and recoverable, avoids firmware damage or startup failure, and improves the safety and stability of the flight control system remote upgrading.

This application discloses a key distribution generation method and system for multi-park integrated authentication, relating to the field of industrial internet key technology. The method includes: collecting cardholder information and sending it to a cloud center; generating a first authentication risk coefficient based on the current operating status and a second authentication risk coefficient based on historical verification records, and evaluating the authentication risk index; if the authentication risk index does not exceed a preset risk threshold, using a basic key distribution generation strategy for identity verification; if the authentication risk index exceeds the preset risk threshold, calculating the risk index overflow value, optimizing the key distribution factor composition and the selection method of the derived algorithm, and generating an adapted key distribution generation strategy for identity verification. This solves the technical problems of existing key distribution generation strategies being fixed and rigid, unable to adaptively adjust to the dynamic risk characteristics of multi-park authentication scenarios, and lacking a risk quantification assessment mechanism, leading to a lag between security strategies and risk situations.