159results about How to "Avoid potential risks" patented technology

The invention relates to the technical field of unmanned aerial vehicles, in particular to a mooring unmanned aerial vehicle safety management system which comprises a multi-source data acquisition module, a data fusion and analysis module, an intelligent risk assessment module, a control instruction generation module and an execution mechanism module. The multi-source data acquisition module acquires flight and mooring cable data of the unmanned aerial vehicle by using various sensors, and transmits the flight and mooring cable data to the data fusion and analysis module through a time division multiple access protocol with low packet loss rate and low delay; the intelligent risk assessment module judges a risk level by combining a risk assessment model based on a support vector machine and a Bayesian network algorithm according to the information, and generates prompt information if the risk level exceeds a preset range; the control instruction generation module generates instructions according to a risk prompt and a preset strategy, ranks the instructions and sends the instructions to the execution mechanism module; a flight control system in the execution mechanism module cooperates with a mooring cable electric take-up and pay-off device and the like, real-time adjustment and control over the flight attitude of the unmanned aerial vehicle and the cable state are achieved, and it is ensured that tasks are safely and stably executed in the complex environment.

The invention relates to the technical field of carrier evaluation, in particular to a carrier portrait evaluation system and method based on multi-dimensional data fusion, and the system comprises a data source obtaining module which is used for collecting a plurality of carrier related data sources in real time; the data preprocessing module is used for carrying out normalization preprocessing on the collected data; the multi-dimensional data fusion module is used for constructing a dynamic carrier portrait by adopting a multi-modal fusion algorithm and a hierarchical data modeling technology so as to provide a basis for evaluation; the scene performance evaluation module is used for carrying out comprehensive evaluation on the carriers in a plurality of business scenes, carrying out comprehensive scoring on the plurality of carriers through a multi-index evaluation method, and obtaining a comprehensive score ranking of the plurality of carriers; and the carrier relationship detection module is used for analyzing the association relationship between the preferred carrier and other carriers. According to the invention, the accuracy of evaluation is improved, and the adaptability of the system to a complex business environment is enhanced, so that an enterprise can make a more scientific decision when selecting a carrier.

The invention relates to the technical field of computer security, in particular to an embedded software reinforcement method based on a national cryptographic algorithm. The method comprises the following steps: generating a key pair by using SM2, constructing a code dependency graph in combination with spectral clustering, and optimizing key distribution; carrying out segmented encryption by adopting SM4 symmetric encryption, and identifying sensitive code snippets; the integrity of the embedded software is monitored and responded in real time through SM3 hash check and anomaly detection; analyzing vulnerability distribution based on random forest regression by using an SM4 encryption update package and dynamically adjusting an update frequency; and encrypting an operation log through SM3, and identifying a risk trend and generating an operation report by using a variational auto-encoder. According to the invention, through a plurality of technical means such as hierarchical encryption, real-time monitoring, dynamic key management and risk prediction, an efficient, dynamic and intelligent security reinforcement scheme is provided for embedded software, and the overall security and stability of the system are improved.

The invention discloses an IsaacSim-based humanoid robot simulation method for a steel inspection and test laboratory, and relates to the technical field of humanoid robot simulation methods, and the IsaacSim-based humanoid robot simulation method for the steel inspection and test laboratory comprises the following steps: step 1, carrying out refined modeling on environmental elements of the steel inspection and test laboratory; step 2, integrating a humanoid robot model in an IsaacSim simulation environment; 3, configuring workflows of different tasks of the robot in the simulation scene; 4, collecting and analyzing data when the robot executes the task in the virtual environment; and step 5, feeding back an adjustment algorithm or a control parameter based on a simulation result so as to improve the adaptability and the stability of the robot in a complex laboratory environment. Through the method, a user can perform comprehensive algorithm verification in a simulation environment, including a series of key algorithms such as a control algorithm, a visual identification algorithm and a motion planning algorithm of the humanoid robot, so that the stability and effectiveness of the humanoid robot in an actual environment are ensured.

The invention relates to the technical field of intelligent building construction path planning methods, in particular to an AI-based intelligent building construction path planning method and system, and the method comprises the following steps: mapping site construction data into a virtual scene graph which comprises construction machinery information and environment information; on the basis of an AI algorithm and the virtual scene graph, a reasonable construction sequence and path are automatically planned for all machines in construction, and a construction scheme is generated; simulating the construction scheme to verify feasibility and risk points of the construction scheme; the construction scheme is optimized according to the risk point, and an optimal construction scheme is generated, so that the dynamic change of the construction site can be captured in real time, and intelligent path planning and resource allocation can be carried out based on the information; the method provided by the invention has self-learning and optimization capabilities, can continuously accumulate experience from practice, and improves the accuracy and efficiency of planning.

The invention discloses an intelligent monitoring method and system for a composting process, relates to the technical field of composting, and aims to solve the problem that the fermentation effect of compost and the quality of a final product are affected due to hysteresis and inaccuracy of manual monitoring of the composting process. The method comprises the following steps: S1, data acquisition: acquiring key parameter data in a composting process, wherein the parameter data comprises temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content and total phosphorus content; s2, data transmission: transmitting the key parameter data obtained in the step S1; and S3, data processing and analysis: receiving and storing the key parameter data in the step S2, processing and analyzing the received information, and calculating key indexes in the composting process, the key indexes including a compost maturity index and a compost efficiency index. The method has the advantages that the compost state can be accurately mastered, and the control strategy can be timely adjusted.

The invention provides a method and device for optimizing the design of a hybrid power system of an aircraft. The method provided by the invention comprises the following steps: aiming at a pre-designed hybrid power system, constructing a simulation model corresponding to the hybrid power system; determining a required power range of a power system according to the flight envelope of the aircraft, and determining load required power of the aircraft under multiple types of preset typical working conditions according to the required power range; determining a working mode of the aircraft under the load demand power according to the load demand power under each type of preset typical working conditions and current and preset working mode determination rules; simulating the working mode by using the simulation model, and obtaining a simulation result; wherein the simulation result comprises operation parameters corresponding to each model; and according to a simulation result, providing an optimization suggestion for a pre-designed aircraft hybrid power system. The method provided by the invention is used for effectively optimizing the design of the hybrid power system of the aircraft and improving the performance and reliability of the hybrid power system.

The invention provides a soil conditioner for acidified soil remediation and a preparation method thereof, and belongs to the technical field of soil conditioners. The invention discloses a soil conditioner for acidified soil remediation. The soil conditioner is prepared from the following raw materials in parts by weight: 25-30 parts of decomposed organic matters, 15-23 parts of calcined alkaline slag powder, 20-30 parts of a biochar-based composite material, 6-13 parts of a microbial agent and 10-20 parts of a bio-based adhesive. According to the soil conditioner for acidified soil remediation, the unbalance state of acidified soil is improved, and the acidification process is relieved.

The invention provides a waste steel scattered material identification method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining scene point cloud samples, carrying out the feature marking, and constructing a training data set specially for waste steel scattered materials, therefore, the scattered scrap steel in the target area can be identified more accurately, the identification precision and the identification efficiency of the scattered scrap steel are improved, the whole identification process is highly automatic, manual intervention is reduced from data acquisition and calibration to model identification, the working efficiency is improved, and the identification accuracy and the identification efficiency of the scattered scrap steel are improved. According to the method, the position information of all the scattered materials can be accurately extracted, the position information comprises the small scattered materials which are difficult to cut away from the ground, the height information of the scattered materials can be accurately measured, the comprehensiveness and accuracy of scattered material stacking operation are ensured, the operation safety is improved, and potential risks caused by missing or misjudgment of the scattered materials are avoided.

The invention provides a multifunctional environment monitor, which relates to the technical field of environment monitoring and comprises a sensor module, a control module, an alarm module, a power supply module and a display module. The control module is connected with the sensor module, the alarm module and the display module, the sensor module is used for collecting original environment data, converting the original environment data into environment monitoring parameters and sending the environment monitoring parameters to the control module, the control module compares the environment monitoring parameters with a preset environment parameter threshold value, and when the environment monitoring parameters exceed the preset environment parameter threshold value, the alarm module gives an alarm. The control module controls the alarm module to give an alarm; the power supply module is connected with the control module for power supply. The multifunctional environment monitor can collect different types of original environment data, display the original environment data by means of the display module and give an alarm in time by means of the alarm module; the integrated design is adopted, the size is reduced, the monitoring efficiency and accuracy are improved, the system stability is improved, and the application range is wide.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses an intelligent contract generation and execution method, which comprises the following steps: collecting transaction behavior data and transaction demand data of intelligent contract participants, constructing a natural language understanding model based on the collected data, obtaining contract requirements, and generating natural language description of a contract; the generated contract natural language description is analyzed and converted into an intelligent contract code, grammar and logic verification is conducted on the intelligent contract code, the intelligent contract code passing verification is executed, and the execution process and the execution result are recorded in a distributed account book of the block chain. According to the method, the intelligent contract is automatically generated, so that the requirement on the programming capability of the participant is reduced, and the problems of low intelligent contract compiling efficiency and high possibility of errors in the prior art are solved. By introducing grammar and logic verification steps, the accuracy of the smart contract before execution is ensured, and potential risks caused by contract logic errors are avoided.

The invention discloses a concrete production digital management method and system, and relates to the technical field of concrete production processing, the method uses a three-dimensional modeling technology to simulate a concrete structure after pouring, and the application of the Internet of Things technology makes automatic uploading and real-time processing of cement hydration result data possible; in the aspect of risk assessment, based on threshold comparison of the hydration degree coefficient Scxs, an effective means is provided for early warning of the cracking risk, so that potential problems can be recognized in time in the initial setting stage of concrete, corresponding quality inspection measures are taken, and the cost of subsequent maintenance and rework is reduced. Besides, in the step S4, analysis of internal stress caused by temperature change is combined with construction of a fluctuation difference coefficient, and deep evaluation of the stability of the concrete is provided. Through comprehensive analysis of internal stress and fluctuation difference, the system can more comprehensively understand behaviors of concrete in the curing process.

The invention relates to the technical field of ventilation and cooling simulation testing, and particularly discloses a ventilation and cooling simulation testing system for a deep mine, which is used for monitoring environmental parameters of different tunneling roadways corresponding to a gold mine in real time through a plurality of sensor nodes deployed in the gold mine; further, the ventilation rate coincidence coefficient of each tunneling roadway corresponding to the gold mine is judged; detecting and judging the ventilation rate conformance coefficient, and when the ventilation rate conformance coefficient of a certain tunneling roadway is detected not to conform to the standard, simulating different types of cooling materials by using the simulation model so as to obtain a cooling performance comprehensive score of each type of cooling material in each simulated roadway; the optimal cooling material type suitable for each simulated roadway is determined according to the cooling performance comprehensive score of each type of cooling material in each simulated roadway, so that the use strategy of the material can be dynamically adjusted and optimized to adapt to the change of the mine environment, and the overall safety and the production efficiency of the mine are improved.

The invention relates to a tethered airship self-destruction control method which specifically comprises an airborne control core and a self-destruction standby system so as to ensure that a self-destruction task can be effectively executed under different fault conditions. The airborne control core judges whether the airship exceeds a safety range or not through the GPS module, or receives a remote self-destruction instruction through the wireless communication module to trigger a self-destruction program. The self-destruction process comprises the steps that the valve push rod driving circuit rapidly deflates, the electric heating wire driving circuit burns through the ball body, the lithium battery burning explosion trigger circuit triggers battery burning explosion, and thorough damage is ensured. If the main system fails, the standby control module supplies power through a standby battery, takes over a self-destruction task, keeps communication with the ground, and triggers the parachute to release by utilizing a time delay mechanism or an air pressure sensor when the height sensor fails, so that the landing safety is guaranteed. And the main control program performs byte-by-byte deletion through a bootloader program in a self-destruction process, so that data leakage is prevented.

The invention discloses a dual-engine ammonia fuel supply system and a working method, which improve the production test run efficiency of an ammonia fuel engine, and meanwhile, when one or zero engine is tested, a non-test run ammonia fuel supply system can be completely free of ammonia, so that the safety of operators is ensured. According to the technical scheme, the system comprises a material storage device, a supply system and a control system; the material storage device is connected with the supply system, and a gasification device and a pressure reducing valve are arranged on the material storage device; the supply system is divided into a first supply system and a second supply system, the first supply system and the second supply system are both connected with the control system, and the control system is used for controlling fuel supply of the first supply system and the second supply system and removing tasks of redundant fuel according to different working conditions; the first engine and the second engine are installed in the workshop, and the material storage device, the supply system and the control system are arranged outside the workshop.

The invention discloses an order data risk monitoring system and method based on cloud computing, and relates to the technical field of data analysis. The system comprises a data acquisition and processing module, a known risk factor extraction and evaluation module, a feature analysis and threshold calculation module, an unknown risk factor extraction and evaluation module and a real-time data monitoring and alarm module. The data acquisition and processing module collects historical order data and risk judgment records and forms a first feature vector; the known risk factor extraction and evaluation module extracts known risk factors and calculates a first risk evaluation index; the feature analysis and threshold calculation module performs analysis to obtain an evaluation threshold and a second feature vector; an unknown risk factor identification and evaluation module identifies an unknown risk factor, calculates a second risk evaluation index and determines a threshold value of the second risk evaluation index; the real-time data monitoring and alarm module collects order data in real time, calculates a risk assessment index, compares a threshold value and outputs risk prompt information.

The invention discloses a metallized film capacitor health state assessment method and system based on audible noise signal analysis, a medium and equipment, and the method comprises the steps: building a discharge noise monitoring experiment loop; the metalized film capacitors in different health states are detached and connected to the discharge noise monitoring experiment loop; an alternating current and direct current superposition voltage experiment is carried out in the discharge noise monitoring experiment loop, the temperature of the metallized film capacitor in different health states is kept at 25 DEG C constantly in the experiment process, after pressurization is completed, noise waveforms are collected for 10 s to obtain noise waveform data, and voltage reduction and experiment stopping are carried out on the metallized film capacitor; according to the noise waveform data, respectively calculating sound pressure level levels of the metallized film capacitor in different health states, and simultaneously carrying out FFT analysis to obtain frequency domain characteristics of the metallized film capacitor; and acquiring a reference value of the sound pressure level at the initial operation moment, and judging the health state of the metallized film capacitor according to the sound pressure level and the frequency domain characteristics to obtain health or failure classification.

The embodiment of the invention provides an abnormal behavior early warning method, device and system, electronic equipment and a storage medium, and belongs to the technical field of nuclear power safety detection. The method comprises the following steps: acquiring a real-time front-end operation picture and a real-time camera acquisition picture transmitted by a nuclear power engineering terminal; and performing front-end operation identification on the real-time front-end operation picture to obtain current operation information corresponding to the nuclear power engineering terminal. And performing facial feature recognition on the real-time camera-shooting acquired picture to obtain facial feature data of the operator. And determining the identity information of the operator according to the facial feature data of the operator. And based on a preset database and the current operation information, performing operation authority judgment on the identity information of the operator to obtain an authority judgment result. And executing an early warning operation in response to the condition that the permission judgment result and the current operation information meet a preset non-security condition. According to the embodiment of the invention, the operation reliability of the engineer station can be improved.

The invention relates to the field of unmanned aerial vehicle control, and provides an unmanned aerial vehicle automatic landing control method, which comprises the following steps of: initializing an IMU (Inertial Measurement Unit) sensor, setting an initial attitude and a speed value, starting a binocular camera system and the IMU sensor on an unmanned aerial vehicle, calibrating a binocular camera, and ensuring the consistency and accuracy of image acquisition. The unmanned aerial vehicle can accurately identify ground markers and calculate accurate position and attitude information relative to the ground by adopting a data fusion technology of a binocular camera system and an IMU (Inertial Measurement Unit) sensor, so that not only is the positioning accuracy improved, but also the unmanned aerial vehicle can realize a more stable and accurate automatic landing process under a complex environment condition, and the unmanned aerial vehicle is more convenient to use. In addition, data processing is carried out in combination with an extended Kalman filter, the robustness of the system is further enhanced, it is ensured that good control performance can be kept even in the face of external interference, and therefore the safety and reliability of landing are remarkably improved.

The invention discloses a ship behavior identification and dynamic route planning method and system based on artificial intelligence. The method comprises the following steps: 1) collecting ship data and environment data; 2) preprocessing the collected ship data and environment data; 3) identifying the ship data to obtain ship behavior data; 4) analyzing the ship behavior data, calculating a ship behavior risk index, and evaluating the ship behavior risk; 5) integrating the environment data, the ship behavior data and the risk index to generate a route; and 6) controlling the ship to sail according to the route, monitoring ship data and environment data in the ship sailing process in real time, and dynamically adjusting the route based on the real-time data and the risk index. According to the method, ship data and environment data are collected in real time, ship behavior data analysis and environment risk assessment are combined, the ship route is dynamically optimized, the adaptability and response capacity of the ship are improved, and the safety and economical efficiency of navigation are ensured.

The invention discloses an intelligent medical drug management method and a drug registration platform, relates to the technical field of drug management platforms, and breaks through the limitation that drug adjustment is judged only according to symptom representation traditionally by comprehensively considering environmental factors and emotion factors to evaluate the necessity of drug adjustment. Multi-element potential factors influencing the health state and the drug effect of patients are deeply mined, patient groups really needing drug adjustment are accurately positioned, highly personalized medical intervention is achieved, burden and potential risks caused by unnecessary drug adjustment to the patients are avoided, priorities are divided based on disease risk prediction values, and the accuracy of drug adjustment is improved. And the patient information is pushed to the on-duty doctor working machine in order, so that the vigor, the time, the medicine reserve and the like of the medical resource doctor are preferentially inclined to the patient with high risk and urgent need of medicine adjustment, the treatment delay of the patient with high demand caused by average force of medical service is avoided, the overall medical service efficiency is improved, and the maximum treatment value of limited resources is brought into play.

The invention discloses a data uplink transmission method and system for intelligent hospital Internet of Things medical terminal equipment, and relates to the technical field of Internet of Things medical terminals, and the method comprises the following steps: obtaining various parameter information generated in the uploading process of an electrocardiograph monitor data packet, including data processing capability and network reliability; by acquiring data processing capacity and network reliability parameters in the uploading process of the electrocardiograph monitor, the system accurately analyzes buffer overflow and packet loss retransmission mechanism failure, and a transmission quality coefficient is generated in combination with machine learning. The intelligent mechanism detects the high-risk uploading process in real time, data packet error sequence or loss is reduced, the integrity of electrocardiogram (ECG) data is ensured, and misdiagnosis is effectively avoided. The high-risk uploading process is divided into an unstable type, a continuous type and a burst type, and corresponding early warning measures are taken respectively, so that timely processing of critical data is ensured, the safety and stability of data transmission are improved, and the safety of a patient is guaranteed.

The invention provides a brake clearance prediction method and device, electronic equipment and a readable storage medium, and belongs to the technical field of data prediction.The method comprises the steps that a fatigue backstepping model is determined based on simulation fatigue parameter data and historical fatigue parameter data, the fatigue back-stepping model is used for constructing a mapping relation between running state data and fatigue state data of the brake; determining a brake clearance-fatigue relation model based on the fatigue state data and the first brake clearance data; the brake clearance-fatigue relation model is used for constructing a mapping relation between brake clearance and fatigue state data of the brake; and the brake clearance of the target brake is predicted based on the fatigue backstepping model, the brake clearance-fatigue relation model and the target operation state data, and second brake clearance data are obtained. According to the brake clearance prediction method and device, the electronic equipment and the readable storage medium, the accuracy of brake clearance data prediction of the brake can be improved.

The utility model provides a temperature regulating system of a compressed air energy storage chamber, which comprises an artificial chamber horizontally arranged underground, a vertical shaft arranged at the top of the artificial chamber, an air circulating pipeline and a water pipeline, the air circulating pipeline and the water pipeline are arranged in the artificial chamber, and an air inlet and an air outlet at two ends of the air circulating pipeline are oppositely arranged along two sides of the artificial chamber respectively. An axial flow fan is arranged in an air inlet of the air circulating pipeline, the water pipeline comprises a water inlet pipeline and a water outlet pipeline, the water inlet pipeline is communicated with a water outlet of the warm water tank and an in-plant circulating cooling water inlet, the water outlet pipeline is communicated with a water inlet of the cold water tank and an in-plant circulating cooling water return port, and a spiral heat exchange pipe is arranged between the water inlet pipeline and the water outlet pipeline. The spiral heat exchange pipe is embedded in the air circulation pipeline behind the axial flow fan and used for exchanging heat with air in the chamber, adjusting the temperature of the air in the artificial chamber during inflation energy storage and deflation energy release, guaranteeing the structural safety of surrounding rock around the artificial chamber and prolonging the service life of sealing materials in the chamber.

The invention provides an article transportation detection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the information configuration according to the configuration specification file and information size of the target interface information of all operation equipment on a whole logistics line, and generating corresponding target configuration information; monitoring the working state of each operation device on the whole logistics line in real time, and determining an upstream device and a downstream device in a to-be-transferred state; detecting information of an interface to be detected between the upstream equipment and the downstream equipment by using the target configuration information; and if the to-be-detected interface information passes the detection, executing article transportation between the upstream equipment and the downstream equipment. The logistics area control system is used for monitoring, the data monitoring precision is improved, the target configuration information is used for detection, the data processing capacity is improved, goods are transported only after detection, and potential risks are avoided.

The utility model provides a device for mixing coal mine gas by utilizing a static mixer, which relates to the technical field of gas auxiliary mixing and comprises a static mixing pipe body, flanges are fixed on two end faces of the static mixing pipe body, round angle discs are fixed between the static mixing pipe body and the flanges, and a mixing cylinder is fixed inside the static mixing pipe body. An air outlet pipe is fixed on one side wall of the static mixing pipe body, an air inlet is formed between the static mixing pipe body and the mixing barrel, rotating sticks are fixed on the side end face of the air inlet and the top of the fillet disc, the top rotating stick is rotationally connected with a forward-rotating spiral blade, the bottom rotating stick is rotationally connected with a reverse-rotating spiral blade, and the forward-rotating spiral blade and the reverse-rotating spiral blade are oppositely arranged; by means of the flow guiding effect of the spiral blades, gas rotates while flowing, then air flow is scattered between the mixing barrel and the static mixing pipe body disorderly, flows upwards and is further mixed when reaching the air outlet pipe, and therefore the uniformity of the mixed gas is improved, and the mixed gas with the stable concentration is obtained.

The utility model relates to the technical field of agricultural seedling growing greenhouses, and discloses an agricultural seedling growing greenhouse which comprises a plastic film, a heat conduction film is fixedly connected to the outer wall of the plastic film, an air cavity is formed between the heat conduction film and the plastic film, and an air inlet and an air outlet are formed in the two ends of one side of the heat conduction film respectively. One side of the air inlet is fixedly connected with an air inlet pipe, one side of the air outlet is fixedly connected with an air outlet pipe, and an air source heat pump is arranged on one side outside the plastic film; the heat conduction film is arranged outside the plastic film, the air inlet pipe and the air outlet pipe are arranged on the air source heat pump, and the air source heat pump and the heat conduction film are matched with each other, so that the heat conduction film can quickly melt a snow layer in snowfall, potential risks caused by accumulated snow accumulation are avoided, and the stability of the seedling raising greenhouse in the using process is improved; better heat preservation performance is provided for the seedling raising greenhouse, the proper temperature in the greenhouse can be maintained, and healthy growth of seedlings is facilitated.

The invention relates to the technical field of traditional Chinese medicine preparations, and discloses a pear syrup-containing medicinal and edible wall-broken paste for treating heart-spleen deficiency, which is prepared from the following raw materials in parts by mass: 24 to 30 parts of compound medicine, 8 to 12 parts of lily, 100 to 120 parts of pear syrup, 12 to 18 parts of Chinese yam, 6 to 8 parts of semen euryales and 6 to 8 parts of semen coicis. Potential risks of non-edible raw materials are avoided, the pear syrup conforming to the national standard achieves dual effects of nourishing yin, moistening dryness and improving the taste, the industrial pain point that powder and a syrup body of a traditional syrup formula are not uniformly mixed is solved, and uniform distribution of components is ensured. A circulating cooling water and nitrogen double-control system is adopted in the whole process, the crushing temperature is strictly controlled to be 50 DEG C or below, and volatile effective components are reserved to the maximum extent.

The present invention discloses a method and system for constructing a dynamic portrait of a microgrid device based on full-factor labels, which belongs to the field of information processing technology, and includes: S1, clustering analysis of the full-factor labels of the microgrid and constructing a regional grid of the microgrid system according to functional attributes, determining the initial boundary and initial context of the regional grid to construct a microgrid device portrait; S2, obtaining the device variables corresponding to the regional grid to construct a triple matrix, and determining the boundary correction factor and the context correction factor according to the state transition path of each device variable in the triple matrix; S3, correcting the initial boundary and the initial context in response to the boundary correction factor and the context correction factor to reconstruct the microgrid device portrait. By constructing a triple matrix, the changes in the device state are fully captured, the state transition path is analyzed and the grid boundary and context are dynamically adjusted, and the microgrid device state portrait is accurately portrayed in real time, thereby improving the comprehensiveness and accuracy of device state monitoring.

The invention discloses a cloud server cipher machine-oriented virtual cipher machine fault drift method and system. The method comprises the following steps of: managing a VSM resource pool and issuing a platform drift key pair to each virtual cipher machine VSM; continuously monitoring the running state of each VSM, and when a fault is detected, packaging a migration packet of core data carried by the fault VSM; generating a symmetric key, packaging the migration packet into a digital envelope through a platform drift key, and generating a digital signature to obtain a key data drift packet; a target VSM is dynamically selected, a key data drift packet is received, a digital envelope is decrypted to obtain a migration packet, a digital signature is verified, the migration packet is transmitted to the target VSM, key assets and configuration information are thermally loaded, and data recovery is completed; unbinding the IP address of the source fault VSM and configuring the IP address to the target VSM in real time; performing secure erasure and initialization operation on the faulted VSM, and re-incorporating the faulted VSM into the resource pool; the system comprises a management center, an equipment management service and a virtual cipher machine.