658 results about "Energy control" patented technology

The invention discloses an intelligent management system and method applied to a radio frequency energy output device, and belongs to the technical field of intelligent management of the radio frequency energy output device.An integrated sensor array is deployed on a radio frequency host and a hand tool electrode, and load voltage, output current, electrode temperature and tissue impedance are synchronously collected; a dynamic thermal impedance collaborative analysis model is constructed after time synchronization alignment, a three-dimensional thermal field simulation map is generated, and a thermal accumulation trend is predicted; a double-layer control framework is constructed, a first control layer generates a dynamic power adjustment rule base based on a preset treatment target and a safety threshold value and outputs an instruction, a second control layer receives the instruction and adjusts output parameters in real time, and a strategy is adjusted by combining a model prediction result in the execution process; meanwhile, the operation state is continuously monitored, a fault classification model is constructed for anomaly detection, a fault source is positioned, and a visual report is generated; and finally, constructing a mapping relation based on historical data, and generating an energy control scheme adapted to individualized requirements through iterative optimization.

The invention discloses an energy regulation and control method for a digital intelligent low-carbon building, and relates to the technical field of energy intelligent control, and the method comprises the following steps: constructing a multi-source feed-forward sensing link, unifying data collection timestamps, fusing people counting data, access control record data and wireless local area network probe data, and obtaining a multi-source feedback sensing link; passenger flow step fingerprints capable of reflecting instantaneous passenger flow change characteristics are generated and used for feedforward input of follow-up dynamic response; and performing crowded wave dynamic tracking based on passenger flow step fingerprints, analyzing a crowd movement track in combination with feedforward input, positioning a high-concentration air quality risk area, outputting a risk arrival time and intensity curve, and generating a feedforward ventilation time history input prediction link. According to the method, people flow changes are sensed and predicted through multi-source feedforward, a ventilation strategy is actively deployed, self-optimization is achieved in combination with feedback correction and closed-loop evaluation, and energy consumption is reduced and the service life of equipment is prolonged while air health and safety are guaranteed.

The invention belongs to the technical field of intelligent energy control, and particularly relates to an energy equipment control method based on regional people number distribution, which comprises the following steps: acquiring real-time people number distribution data, environmental parameter data, historical energy consumption data and historical people flow characteristic data, and predicting regional people number distribution data in different time periods; based on historical energy consumption data, historical people flow characteristic data, real-time people number distribution data and environmental parameter data, a dynamic energy demand model is constructed, regional people number distribution data in different time periods are combined, a people number density thermodynamic diagram is generated, regional energy equipment load change is predicted, and a regional energy demand model is established according to the load change and the people number density thermodynamic diagram. A differential control strategy is generated, and operation parameters of the energy equipment are dynamically adjusted; and regulating and controlling the energy equipment according to the differentiated control strategy, synchronously collecting regulated and controlled regional environment feedback data and equipment energy consumption data, and generating an energy efficiency evaluation report. Therefore, the problems of high response delay, limited parameter matching precision and the like in the prior art are solved.

The invention belongs to the technical field of laser welding, and discloses a multi-parameter cooperative control laser welding method and system.The method comprises the steps that a laser energy control model is established based on material strength-thickness-gap ternary coupling, and the output power of an optical fiber laser is controlled; coaxial three-layer gradient gas is adopted for protection of a welding area, preheating before welding and double-temperature-zone gradient annealing after welding are adopted, the output power of an optical fiber laser and the three-layer gradient gas protection flow are regulated and controlled in real time through combination of multiple sensors and a control algorithm, the temperature of a heat affected zone is monitored in real time, and a cooling nozzle is controlled for cooling. And continuous parameter optimization is achieved through machine learning, and multi-parameter control laser welding is achieved.

The invention discloses a source-grid-load-storage integrated coordinated management and control system for an intelligent micro-grid, and relates to the technical field of intelligent micro-grids and comprehensive energy regulation and control. The system comprises the following components: a multi-energy-flow data acquisition unit, a multi-energy-flow coupling modeling and optimizing unit, a multi-energy-flow gradient utilization execution unit, a mode self-adaptive switching unit and a main control unit, according to the invention, through a multi-energy flow coupling modeling and optimization unit, an electric-thermal-gas multi-energy flow coupling model comprising a heat supply network transmission loss calculation sub-model is constructed, a renewable energy consumption constraint sub-model is additionally arranged, and an improved hybrid particle swarm optimization algorithm is adopted to carry out dynamic optimization solution, so that an optimal scheduling strategy is generated; according to the strategy, the consumption rate of renewable energy sources is increased, electricity-heat gradient utilization and efficient configuration are achieved through a heat energy distribution priority regulation and control mechanism and efficiency optimization control of the waste heat recovery module, and dependence of heat loads on electric energy is remarkably reduced.

The invention relates to an energy management method and system for an intelligent micro display terminal. The method comprises the following steps: acquiring operation state parameters of the micro display terminal; inputting the operation state parameters into a preset energy consumption evaluation model, and calculating the operation state parameters based on the preset energy consumption evaluation model to obtain a current energy consumption level; calling a corresponding energy control strategy according to the current energy consumption level, and dynamically correcting execution parameters of the energy control strategy based on the state change of the environment where the micro display terminal is located and the user interaction behavior change to obtain a corrected energy control strategy; adjusting operation parameters of the micro display terminal according to the corrected energy control strategy; and acquiring response indexes of the micro display terminal after the operation parameters are adjusted, and feeding back the response indexes to a preset energy consumption evaluation model to optimize the decision process of the next round of energy control strategy. The method has the effect of improving the reliability of the equipment.

The invention discloses a motion planning method for a heterogeneous robot, and relates to the technical field of robots. The method comprises the following steps: step 1, subspace definition and differential homeomorphic mapping establishment; step 2, dynamic situation field construction; step 3, geometric motion generation; and 4, controlling system energy. According to the method, universal adaptation of robot systems with different configurations can be realized, the algorithm reuse rate is greatly improved, the development cost is remarkably reduced, efficient obstacle avoidance can be realized in a dynamic environment, and the method has excellent real-time performance and wide applicability and robustness.

The invention relates to the technical field of ship energy control, and provides an energy efficiency optimization scheduling method for a marine SOFC heat recovery system, and the method comprises the steps: dynamically distributing an SOFC waste heat path through a heat energy distribution optimization algorithm according to the type of a current ship operation condition, and for a high-load condition, taking a propulsion power demand as a priority target, and carrying out the optimal scheduling of the SOFC waste heat path; the SOFC waste heat is preferentially guided into a ship power position to assist in propelling; for a medium load working condition, SOFC waste heat is distributed to auxiliary propulsion and life service energy according to a preset proportion, and the preset proportion is finely adjusted according to real-time requirements; and for a low-load working condition, the SOFC waste heat is preferentially introduced into life service energy, and the distribution sequence and proportion are dynamically adjusted according to environmental parameters. A machine learning classification model matched with a multi-threshold rule is introduced for working condition recognition, and recognition of different working conditions is achieved; by constructing a dynamic heat energy scheduling mechanism, dynamic optimal allocation of SOFC waste heat among different energy utilization paths is achieved, and the flexibility and adaptability of heat energy utilization are improved.

The application provides a weather load-based air conditioner energy control method and device and a storage medium, wherein the method comprises the following steps: saving PLC bottom layer instrument data, indoor temperature sensor data and public data to a cloud platform server; processing the above data, calculating first index data in units of predetermined working time, calculating an optimized load amount according to the first index data; selecting a date closest to a predicted load day comprehensive temperature T in historical operation data as a reference day, taking the load of the reference day as a reference day load; and adjusting air conditioner energy according to the optimized load amount through two preset optimization conditions and the reference day load. The application predicts future load change rules by mining the corresponding relationship among climate, indoor temperature and load change rules through historical data, so as to realize the purpose of precise energy supply and effectively avoid energy waste.

The invention relates to the technical field of high-temperature alloy additive manufacturing, and discloses a method for preparing a low-crack-sensitivity nickel-based high-temperature alloy through selective laser melting and application of the low-crack-sensitivity nickel-based high-temperature alloy. And selective laser melting forming treatment is conducted on the core-shell structure powder, specifically, regional laser scanning, interlayer pulse pressurization and in-situ heat treatment are conducted, and the low-crack-sensitivity nickel-based high-temperature alloy is obtained. According to the invention, synchronous regulation and control of microcrack closing and nanophase precipitation are realized through design of core-shell structure powder, laser regional dynamic energy control scanning of hot lines and interlayer in-situ densification. By means of the method, the SLM forming crack density can be reduced to be smaller than or equal to 0.1 mm / mm, the anisotropy index is smaller than or equal to 1.05, the post-treatment hot isostatic pressing link is omitted, and the method can be applied to thin-wall high-cycle fatigue parts such as aero-engine flame tubes and aerospace turbine pump rotors.

The invention discloses a thermal management control method for a hydraulic hybrid power system of a mining vehicle in order to solve the technical problem that multi-power-source coupling optimization and an energy control strategy are poor, and belongs to the technical field of underground vehicle thermal management. According to the method, data such as real-time temperature, pressure, methane concentration and hydraulic oil viscosity are collected through a sensor module; the reference temperature threshold value is dynamically adjusted according to the methane concentration to obtain the maximum allowable temperature, the opening degree of a flow valve of a cooling system is adjusted through a dynamic PID algorithm when the real-time temperature exceeds the limit, and PID parameters are adjusted in real time along with the viscosity of hydraulic oil; and after a data error is compensated by adopting a least square method, a specific enthalpy and a specific entropy of a key node are calculated by utilizing a ratio algorithm, a physical ratio is deduced, and an abnormal node is positioned. Through cooperative control of thermal management and hydraulic mixing, the energy efficiency and safety bottlenecks are overcome, the energy utilization efficiency is improved, and technical support is provided for low-carbon transportation of mines.

The invention discloses a buried pipe temperature response calculation method considering underground water seepage and ground temperature gradient, and belongs to the field of building environment and energy application engineering.The buried pipe temperature response calculation method comprises the steps that a shallow buried pipe heat exchanger is regarded as a finite long-line heat source model, and when underground water seepage passes, the shallow buried pipe heat exchanger is regarded as a finite long-line heat source seepage model; an energy control equation containing a soil heat conduction item, an underground water seepage convection item and a ground temperature gradient correlation item at the same time is established, and initial temperature distribution based on ground temperature gradient, ground surface fixed wall temperature and boundary conditions of an underground limited boundary are set; and finally, obtaining an analytical solution expression of the change of the temperature at any position of the underground soil along with the time through analytical solution. According to the method, the defect that a traditional model ignores key environmental factors is overcome, the heat transfer process of heat conduction and convection coupling can be accurately simulated, the accuracy of temperature field prediction and the reliability of long-term performance evaluation are remarkably improved, meanwhile, the complexity of numerical calculation is avoided, and the calculation efficiency is improved.

The invention discloses an energy control method and device for a flying vehicle, electronic equipment and a readable storage medium. A solar cell layer, a heat insulation layer and a thermoelectric power generation layer are sequentially integrated on the surface of the flying vehicle from top to bottom, and the method comprises the steps of obtaining first electric energy converted by the solar cell layer in response to the fact that the flying vehicle is located in a light environment, and obtaining second electric energy converted by the heat insulation layer in response to the fact that the temperature difference between the flying vehicle and the external environment is larger than a first preset temperature difference threshold value; acquiring second electric energy converted by the thermoelectric power generation layer; performing voltage conversion on the first electric energy to obtain first target electric energy, and performing voltage conversion on the second electric energy to obtain second target electric energy; charging a battery of the flying vehicle based on the first target electric energy and the second target electric energy; the electrical energy stored in the battery is distributed to the electrical load based on an energy consumption demand of the electrical load of the flying vehicle. The technical problem that the energy source of the flying vehicle is single is solved.

The invention provides an ultrasonic knife energy automatic control method and device, electronic equipment and a medium, and the method comprises the steps: obtaining a real-time frequency change rate in the working process of an ultrasonic knife, and when the real-time frequency change rate meets a preset abnormal frequency change rate range, starting the ultrasonic knife; the output energy of the ultrasonic knife in different abnormal working states is controlled based on a gain coefficient model, the gain coefficient model is established based on the abnormal frequency change rate and the gain adjustment coefficient of the ultrasonic knife in different abnormal working states, and the abnormal frequency change rate range is determined according to the abnormal frequency change rate. According to the method, the real-time frequency change rate of the ultrasonic knife is obtained, whether ultrasound is abnormal or not is determined based on the real-time frequency change rate range and the abnormal frequency change rate of the ultrasonic knife in the abnormal working state, and when the ultrasonic knife is abnormal, the energy output by the ultrasonic knife is adjusted according to the gain coefficient model. Balanced control of energy in the ultrasonic scalpel operation cutting process is achieved, the safety and reliability of ultrasonic scalpel equipment are improved, and the operation efficiency is improved.

The invention relates to the field of intelligent welding processes and control, and discloses a welding method for a superhard material sealing body multilayer structure. Comprising the steps of obtaining multilayer structure data, and generating a three-dimensional digital model; energy input parameters are optimized according to the heat affected zone and the stress concentration zone, and an initial energy tuning parameter set is generated; according to the initial energy tuning parameter set, temperature field data and stress field data in the welding process are collected, and the dynamic heat affected zone change trend is obtained; according to the change trend of the dynamic heat affected zone, adjusting energy input and a scanning path, and generating a corrected energy tuning parameter; controlling depth distribution of energy in the multilayer structure according to the corrected energy tuning parameters to obtain fusion depth and heat affected zone distribution; energy input and scanning speed are adjusted according to the fusion depth and the heat affected zone distribution, and an energy input parameter set is generated. The precision of energy control in the welding process is improved.

In a method of using ultrasonic welding for fusion bonding of thermoplastic composites, an energy director is formed in place on a first thermoplastic substrate. The energy director can be protrusions arranged in a grid pattern over the entire weld region. The energy director can have protrusions of varying thicknesses to account for unevenness along the weld interface. Forming the energy director can be carried out by placing thermoplastic film on the first thermoplastic substrate, melting the thermoplastic film, and stamping the thermoplastic film with an energy director stamp. After the energy director is formed, the first thermoplastic substrate is ultrasonically welded to a second thermoplastic substrate with the energy director sandwiched between the first and second thermoplastic substrates.

The invention discloses a welding workshop robot state real-time monitoring method based on digital twinning, which relates to the technical field of intelligent welding monitoring, and comprises the following steps: comparing twinning prediction data with aligned multi-channel data moment by moment to obtain virtual-real contrast characteristics, extracting a key process section set according to the virtual-real contrast characteristics, and carrying out real-time monitoring on the state of a welding workshop robot according to the key process section set. Calculating a fast consistency ratio mean value and a welding stability index mean value; according to the fast consistency ratio mean value and the welding stability index mean value, a stability consistency function is constructed, a welding state interval boundary is defined, the welding state of the key process section is judged, and the abnormal type of the key process section is recognized; and based on the abnormal types of the key process sections, event trigger signals are generated, real-time path adjustment is executed, and energy control, motion control and visual acquisition control in the welding process are dynamically coordinated. State recognition and abnormal parting of key process sections are achieved, and stable operation of the welding process is guaranteed.

The invention discloses an agricultural park energy-saving management and control system and method based on cloud-side cooperation, and relates to the technical field of energy control. The side end controller obtains the data collected by the sensor, analyzes and processes the data, stores the data in a side end database, and uploads the data to the cloud server; obtaining an edge management and control model issued by the cloud server, and controlling the equipment based on the edge management and control model; and the side end management and control model determines an optimal scheduling scheme by adopting a particle swarm optimization algorithm by taking the lowest sub-region operation cost as an optimal scheduling objective function. According to the method, global optimization and local real-time control are combined through a cloud edge layered architecture, the data volume centrally processed by a cloud computing layer is remarkably reduced, and communication delay and distortion risks are reduced.

The invention relates to an extended-range automobile energy control method and device, a controller and a readable storage medium. The method comprises the steps that based on a preset dynamic programming algorithm, a Pareto solution set is obtained according to the Pareto leading edge between the fuel cost consumed by engine fuel and the power consumption cost consumed by battery power under the condition that the range extending automobile meets the required power; according to the NVH characteristics of a range extender in the range-extended automobile, determining a target working point sequence of the range-extended automobile from the Pareto solution set; the target working point sequence comprises working points sequenced according to a time sequence in the driving process of the extended-range automobile; determining a starting charge state threshold value in a preset energy control scheme of the extended-range automobile; and according to the target working point sequence, updating the starting charge state threshold value to obtain a target energy control scheme, and based on the target energy control scheme, carrying out energy control on the extended-range automobile. By adopting the method, the noise, vibration and sound vibration roughness of the whole vehicle can be reduced on the basis of improving the energy efficiency of the extended-range vehicle.

The invention relates to the technical field of intelligent medical instruments, in particular to an intelligent microwave physical therapy device and a control method thereof.The device comprises a microwave physical therapy device body and a microwave generating and radiating unit used for generating and radiating microwave energy to the focus area of a patient; the multi-mode sensing unit is used for monitoring body position information of a patient and temperature information of a treatment area in real time; the motion execution unit is used for adjusting the spatial position of the microwave generation and radiation unit according to the body position information; and the control unit is connected with the microwave generation and radiation unit, the multi-mode sensing unit and the motion execution unit, and is configured to be used for controlling the motion execution unit to adjust the microwave radiation area according to the body position information and adjusting the output power of the microwave generation and radiation unit according to the temperature information. According to the scheme, the safety of the treatment process and the accuracy of energy control are guaranteed, and the burn risk is effectively avoided.

The invention discloses a power control method for a hybrid power engineering vehicle and the engineering vehicle. The hybrid power engineering vehicle comprises a range extender system and a power battery. The method comprises the steps that vehicle working condition information and the charge state of a power battery are obtained; determining a current applicable power distribution mode according to the vehicle working condition information and the charge state; the power distribution mode refers to a control strategy for managing the output power of the range extender system and the power battery; and executing a power distribution mode to coordinate the output power of the range extender system and the power battery. Thus, based on the real-time running state and the energy state of the vehicle, the most suitable energy control strategy is dynamically and intelligently determined and executed, it can be ensured that instantaneous power outbreak and long-term fuel consumption economy can be flexibly considered in the vehicle running process, the balance between the power performance and the economy of the whole vehicle is achieved, and the vehicle safety is improved. And the energy management efficiency and the energy utilization level of the whole vehicle are improved.

The invention discloses an energy control method and device based on an optical diesel storage micro-grid system and a medium. The invention relates to the field of energy management, and solves the problem of consumption of diesel generator feedback residual electricity and photovoltaic feedback electricity in a factory and the problem of reducing the demand electric charge of the factory. Whether feedback electricity is generated or not is recognized through power grid home-entry load data, once it is judged that the feedback electricity exists and energy storage does not reach the preset upper limit, energy storage charging is immediately controlled, redundant electric energy such as the feedback electricity of the diesel generator test stand and photovoltaic residual electricity is stored, and the problems that the feedback electricity cannot be connected to a grid and consequently waste is caused and photovoltaic light is abandoned are solved; when no feedback electricity exists, whether the energy storage state of charge (SOC) is lower than a preset lower limit or not is judged to avoid over-discharge, then charging is triggered in combination with the conditions that the load power is smaller than or equal to a peak clipping threshold value in a low ebb period, and low-cost energy storage is conducted through the valley electricity; and when the load exceeds a peak clipping threshold value and is in a non-low-ebb period, discharging is triggered, and the load peak demand is matched. In addition, when the load peak or the load exceeds the peak clipping threshold value, power supply is supplemented through energy storage discharge, and the cost is reduced.

The invention discloses a coagulation and bipolar coagulation integrated control system for a surgical operating instrument, and relates to the field of medical equipment. The system comprises an interface module, an energy detection module, a storage module, a load model matching module and an energy output control module. According to the system, an energy detection signal is output to a surgical instrument before energy output, and a real-time biological impedance spectrum of a target object is obtained; determining a target model from pre-stored electrical load models according to the impedance spectrum, and calling a corresponding adaptive energy output strategy; and in the energy output process, the impedance change of the target object is monitored, and the energy parameters are dynamically adjusted, so that the energy output is automatically stopped after the impedance change conforms to the preset stable target state. The self-adaptive precise energy control based on the real-time state of the tissue is realized, the problems of tissue carbonization, adhesion or incomplete coagulation and the like are effectively avoided, and the operation safety and effect are improved.

The invention relates to a port micro-grid energy control strategy considering incomplete information, and the strategy is technically characterized in that the time-of-use electricity price of a power grid, the parameters of a micro-grid operator and the like are set, and a data source is determined; scene sampling is carried out, and uncertain information in micro-grid operation is converted into a computable deterministic scene; establishing a Bayesian-Stackelberg game model under incomplete information by taking a power transaction agent as a main body and a micro-grid operator as a slave body; a follower model constraint is established by considering port berth distribution, and a KKT condition is established for a follower model so that the double-layer game model can be converted into a single-layer optimization model; and solving the model by using a CPLEX solver to obtain an optimal electricity price and an energy control strategy of each scene. According to the method, the uncertainty of port micro-grid information is considered, port operation constraints, berth distribution strategies and the like are comprehensively considered, the economy of micro-grid operation is considered while the port logistics transportation efficiency is ensured, and a port micro-grid energy control strategy considering incomplete information is provided.

The invention relates to the technical field of laser welding, and discloses a femtosecond laser thin film precision welding system and method. According to the system and method, through dynamic energy density adjustment, self-adaptive light spot track planning, multi-material welding parameter collaborative optimization and real-time quality monitoring feedback, the problems that in existing femtosecond film welding, energy control is not accurate, light spot track adaptability is poor, and multi-material welding quality is not stable are solved. And through an innovative algorithm and system design, the welding precision, efficiency and material adaptability are remarkably improved, and an efficient solution is provided for high-precision thin film welding.

A robotic system includes a plurality of input control devices configured to be operated by an operator, a display device, and a controller coupled to the plurality of input control devices and the display device. The controller is configured to: determine a dynamic mapping, the dynamic mapping identifying at least a first association, the first association being between a first input control device of the plurality of input control devices and a first function, the first function being of a plurality of functions of a first instrument, the robotic system configured to support the first instrument; cause the display device to display a first user interface element, the first user interface element indicative of the first association; receive input from the first input control device; and cause, based on the dynamic mapping, the first function to be performed by the first instrument.

The invention relates to the technical field of off-grid energy control, and discloses a multi-energy coordination control method for an off-grid system. The method comprises the following steps: firstly, synchronously collecting operation state data of a photovoltaic array, a wind driven generator and an energy storage unit, and constructing a multi-energy operation state data set; establishing a power distribution characteristic space by combining power fluctuation historical data under different load working conditions; constructing and training an energy coordination decision model on the basis, extracting a system stability index, defining an energy coordination control level and establishing a mapping relation between the energy coordination control level and the stability index; acquiring load fluctuation parameters in real time, generating a working condition self-adaptive coordination instruction and determining a target control level; and when the target control level exceeds a preset threshold range, activating a multi-energy redistribution mechanism. According to the method, multi-energy dynamic coordination can be realized, the operation performance of an off-grid system under a complex working condition is improved, and the adaptability of the system to load fluctuation and energy supply change is enhanced.

The invention relates to the field of laser processing, and particularly discloses a fillet structure laser shock peening residual stress control method based on energy compensation, which comprises the following steps: accurately measuring and quantifying residual stress fluctuation and a tensile stress area caused at a fillet in the prior art, and setting a peening target according to the residual stress fluctuation and the tensile stress area; laser parameters and geometric parameters are systematically identified, and a database covering the combination of the laser parameters, the geometric parameters and material parameters and corresponding residual stress results is constructed through experiments and simulation; and based on the constructed database, establishing a relationship between parameters and stress, and obtaining a simplified empirical formula for laser energy compensation from the relationship. The energy control formula extracted by the control method can accurately guide processing parameters with different geometrical characteristics, so that the uniformity of residual stress distribution is fundamentally ensured, and harmful tensile stress at the fillet is effectively eliminated. Through accurate control of an empirical formula, raw materials and working hours consumed by repeated trial and error in a traditional process are avoided.

The invention discloses a powder gas leakage diffusion monitoring physical simulation system and method. According to the system, a plurality of gas energy control doors are sequentially installed in a simulation box body in the length direction; the dry powder aerosol generator, the smoke generator, the temperature generator, the humidity generator, the pressure controller and the toxic gas standard gas cylinder are connected with the head end of the simulation box body; the smoke exhaust fan is connected with the tail end of the simulation box body; the recycling and filtering device is connected with the smoke exhaust fan; the gas treatment tank is connected with the recycling and filtering device; the multi-parameter integrated detection unit is arranged in the cavity space of the simulation box body; the armored heating jacket is coated outside the simulation box body; the data processing platform is connected with the multi-parameter integrated detection unit; the method comprises the following steps: the system sets a simulation environment; simulating a leakage diffusion process; analyzing the spatial and temporal distribution condition of the multi-dimensional monitoring data to obtain a diffusion path and a concentration change trend of the leaked substance, and displaying a simulation result in real time. According to the system and the method, the powder gas leakage diffusion process under different environment parameter combination conditions can be simulated.

The invention discloses a wind turbine generator component life probability prediction method and system, and a wind power plant energy control method and system. The prediction method comprises the steps of constructing a state space model of a degradation process of a wind turbine generator component; acquiring real-time state information of the component; inputting the real-time state information into the state space model, evaluating the degradation state of the component by adopting a sequential data assimilation algorithm, and outputting posterior probability distribution of the degradation state; and based on the posterior probability distribution, forward simulating a future degradation path of the component by adopting Monte Carlo simulation until the future degradation path exceeds a preset failure threshold, and obtaining residual life probability distribution of the component. According to the method, the personalized residual life of each unit can be accurately evaluated, and an innovative wind power plant energy management control strategy is created on the basis, so that the absolute maximization of the full-life-cycle economic benefit of the wind power plant in a complex market environment is realized.