15067 results about "Electric heating" patented technology

Electric heat for generating smoke from tobacco or the like in a hookah type smoking pipe. Electric heat is obtained from an electrically powered heating element which may be placed proximate the tobacco. The heating element may be contained within a housing which in turn may be placed above the smoking chamber of the hookah. The housing may have adjustably damped holes disposed to pass air over the heating element. Electrical circuitry serving the heating element may comprise a step down transformer and a voltage adjusting switch. The heating element may be integral with the hookah, may take the form of a separate component which is mountable over the smoking chamber of the hookah, or may comprise a free standing assembly which may be placed to stand adjacent to the hookah.

The invention discloses an intelligent monitoring and early warning system for the safety state of an electrical cabinet, and belongs to the technical field of electrical variable measurement, and the system comprises a data collection module which is used for obtaining multi-source sensing data of the electrical cabinet, and the multi-source sensing data comprises a current waveform parameter, an infrared temperature distribution parameter and a mechanical vibration spectrum parameter; the health feature evaluation module is used for generating a health state feature vector of the electrical cabinet by using the multi-source sensing data; the instruction generation module is used for outputting an early warning decision instruction according to a matching result of the health state feature vector and a preset fault propagation rule base; and the safety protection module is used for executing a safety protection action when the early warning decision instruction meets a preset execution condition. A multi-source sensing data fusion analysis technology is adopted to construct an electrothermal mechanical composite feature vector, a fault propagation rule base is coupled to realize cross-domain conduction path modeling, composite hidden dangers such as contact deterioration and the like can be accurately identified in a fault incubation period, and graded active safety protection measures are triggered.

The present invention provides a multi-drum washing machine, comprising a first drum, a second drum, and an electric heating system. The electric heating system is capable of generating a hot air flow, and the hot air flow of the electric heating system can be delivered to the first drum and / or the second drum simultaneously or separately. The multi-drum washing machine also comprises a first drum and a heat pump system. The heat pump system is capable of generating a hot air flow, and the hot air flow of the heat pump system can be delivered to the first drum. Compared with the prior art, the multi-drum washing machine described in the present invention uses a common electric heating system for drying the first and second drums, thereby reducing the manufacturing cost and space occupied by the multi-drum washing machine. The first drum uses the heat pump system for drying, avoiding the need for three drums to be dried simultaneously using a single drying system, thereby improving the drying effect of the clothes, shortening the drying time, and enhancing the user experience.

The invention discloses an electric heating cooker uniform temperature control method and system for gradient temperature difference regulation and control, and relates to the technical field of temperature control, the method comprises the following steps: dividing an internal heating area of a target electric heating cooker, arranging temperature sensors, and acquiring meal temperature data of N subareas in real time through a subarea temperature sensor array; constructing a gradient temperature difference model based on meal heat conduction information and food material characteristic information, and performing deviation calculation on the meal temperature data of the N sub-regions based on the gradient temperature difference model to obtain temperature deviation data of the N sub-regions; and a PID controller is adopted to perform heating power analysis on the temperature deviation data of the N sub-regions, and the heating power adjustment amount of the N sub-regions is determined to control the target electric heating cooker to perform uniform-temperature heating control. The technical effects of realizing uniform temperature control of the electric heating cooker, effectively solving the problem of local overheating or half-cooking caused by a traditional heating mode, ensuring uniform heating of meals and improving the heating quality are achieved.

The invention relates to a model predictive control charging optimization method based on a dynamic power state, which initiates a'dynamic power state collaborative optimization 'mechanism, takes a real-time power upper limit as an active optimization target instead of a fixed constraint condition, and breaks through the technical bottleneck of power limitation passive response in a traditional charging strategy. The method specifically comprises the following steps: constructing an electric-thermal-aging multi-physics field coupling model of the lithium ion battery, updating electric-thermal characteristic parameters in real time through an online parameter identification algorithm, and synchronously estimating a core temperature and an aging state in combination with a double-Kalman filtering state observer; innovatively establishing a four-dimensional objective function optimization model containing a dynamic power state, and performing multi-objective collaborative optimization on a power upper limit, a charging speed, a capacity fading rate and a current fluctuation rate; and designing a dynamic rolling optimization algorithm based on a model prediction control framework, and solving the optimal charging current meeting the dynamic power distribution requirement of the power grid in real time under the hard constraint of ensuring the maximum core temperature and terminal voltage.

The invention relates to the technical field of power equipment state monitoring, in particular to a lightning arrester state monitoring method, system and equipment based on multi-physics field coupling and a storage medium. Acquiring current-voltage characteristic parameters, temperature distribution data and mechanical stress data of the lightning arrester, performing electro-thermal-mechanical coupling analysis based on multi-physical field monitoring data, identifying overlapping positions of an electric field distortion area, a temperature abnormal area and a stress concentration area, and determining the overlapping positions as a degradation key area; establishing a correlation response relationship between the leakage current and the temperature and a transfer response relationship between the temperature and the mechanical stress for the deteriorated key area; on the basis of the leakage current change trend of the degradation key area and the coupling influence of the superimposed temperature field and stress field, a degradation feature fusion factor is constructed, the evolution law of the degradation feature fusion factor in the time sequence is analyzed, and the degradation threshold value under the multi-field synergistic effect is determined in combination with the electric-thermal coupling acceleration effect and the thermal-mechanical coupling weakening effect.

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention discloses an IGBT junction temperature real-time decoupling modeling method and system based on dynamic electric heating compensation, and relates to the technical field of state monitoring of power electronic devices. At present, junction temperature estimation is not accurate due to IGBT on-state voltage drop measurement distortion and chip internal thermal gradient in a high-voltage environment. The method comprises the following steps: in an offline stage, constructing an ideal electrothermal characteristic database of an IGBT, a dynamic temperature gradient compensation database in a chip and Foster thermal network model parameters; in the on-line stage, synchronous sampling and preprocessing are carried out on IGBT module operation parameters; combining online real-time parameters with an offline database by using an adaptive Kalman filter, and iteratively and cooperatively estimating the real-time junction temperature and loss of the IGBT; and finally, outputting and applying the estimated accurate junction temperature and loss data. According to the technical scheme, the hot spot effect in the chip is accurately decoupled, the junction temperature estimation precision and the robustness of online monitoring are improved, and core data support is provided for fine thermal management and early fault early warning of the flexible direct current converter valve.

The invention relates to the technical field of fan blade deicing, and discloses an intelligent temperature control type fan blade electric heating deicing control system and method, and the system comprises a meteorological sensing module which is used for collecting the environment temperature, humidity, wind speed and rainfall type; the blade state monitoring module is used for acquiring blade surface temperature distribution and ice layer thickness data; the dynamic decision-making module is used for generating a partition heating instruction based on the data of the weather sensing module and the blade state monitoring module; the temperature control execution module is used for converting the instruction into a gradient signal; the heating array module is used for executing electric heating deicing operation in the blade surface subareas; and the energy coordination module is used for dynamically constraining the total power of the system. The meteorological sensing module and the blade state monitoring module are integrated through the system, real-time collection and fusion of multi-source data of blade surrounding environment parameters and the thickness of an ice layer are achieved through the design, comprehensiveness and accuracy of icing monitoring are improved, a reliable basis is provided for dynamic decision making, and therefore the response capacity and early warning precision of the system to icing risks are improved.

The present invention relates to the technical field of control cabinets, and provides an electrical control cabinet for a thermal power plant, comprising an electrical control cabinet, wherein the electrical control cabinet is provided with a plurality of ventilation openings, a heat absorption plate is fixedly mounted on an inner wall of the electrical control cabinet, a heat dissipation structure is mounted on the heat absorption plate, four connecting bases are symmetrically and fixedly mounted on a top side of the electrical control cabinet, a ventilation structure is mounted on the four connecting bases, two mounting frames are symmetrically and fixedly mounted on the top side of the electrical control cabinet, and an anti-snow structure is mounted on the two mounting frames. According to the present invention, heat dissipation is achieved by means of a combination of heat conduction and air cooling, thereby further improving the heat dissipation effect of the electrical control cabinet. When the present invention is used in winter, if the ambient temperature is low, a fan and an electric heating tube can be turned on to heat internal equipment within the electrical control cabinet, so as to prevent any impact on the operation of the equipment due to excessively low temperatures; when the present invention is used outdoors, a protective metal roof can be employed for snow protection. Furthermore, the present invention also includes a snow removal function.

The invention relates to the technical field of power supply, and particularly discloses a peak and frequency regulation heat supply method for a multi-element energy storage coupling coal power unit, which is used for solving the problems that only active frequency is optimized, electric heating coordination and charge state constraint are lacked and time delay compensation is insufficient in the prior art. The method provided by the invention comprises the steps of system modeling, controller design, coupling constraint, adaptive parameter adjustment, delay compensation and distributed consensus. According to the method, a dual-domain electric power-thermal interconnection model is constructed, a cooperative controller based on delay compensation distributed model prediction control is designed, electric-thermal cooperative penalty and charge state constraint are introduced into a target function, a prediction window and weight parameters are adaptively adjusted, and network delay is identified and compensated online. And a consensus algorithm is adopted to realize multi-region power-heat collaborative optimization.

The invention relates to the field of thermal insulation oil pipe detection equipment, in particular to a thermal insulation oil pipe thermal insulation performance detection device and a use method thereof.The thermal insulation oil pipe thermal insulation performance detection device comprises a detection pool with the hollow interior and the open top, and the open end of the detection pool is detachably provided with a pool cover frame with the hollow interior and the two vertical ends open; the heat insulation oil pipe is placed between the detection pool and the pool cover frame, the detection pool and the pool cover frame are jointly provided with clamping grooves used for containing the heat insulation oil pipe, sealing rubber strips are arranged between the detection pool and the pool cover frame, between the detection pool and the heat insulation oil pipe and between the pool cover frame and the heat insulation oil pipe, and end disc covers are detachably arranged at the two ends of the heat insulation oil pipe. The end disc cover is provided with a temperature sensor and an electric heating pipe, the temperature sensor and the electric heating pipe are both electrically connected to the control system, and the detection pool is provided with a liquid level adjusting piece, a liquid constant temperature piece, a gas circulation piece and a detection assembly. The method has the effect of improving the accuracy of the thermal insulation performance detection result of the thermal insulation oil pipe.

The invention discloses an electric heating deicing system and method based on machine learning prediction and adaptive adjustment, and belongs to the technical field of wind power generation. The system comprises a multi-physical sensor array and a dynamic heating execution module which are arranged on a blade. The multi-physical sensor array and the dynamic heating execution module are both connected with a CAN bus; the CAN bus is connected with an intelligent control module, a cloud collaboration platform and an edge computing node. The method comprises the following steps: acquiring historical operation data of an original unit, and preprocessing the historical operation data to obtain preprocessed data; the original unit historical operation data comprises environmental parameters and blade state monitoring data; analyzing the preprocessed data based on a machine learning algorithm, and establishing a blade icing prediction model; real-time environment parameters and blade state monitoring data are obtained, and the blade surface icing condition is predicted based on the blade icing prediction model; and determining the heating requirement of the blade based on the surface icing condition of the blade, and carrying out deicing.

A thermal management system defines a thermal management system flowpath to provide a flow of a fluid to an electric machine and a power electronics assembly electrically connected to the electric machine. The thermal management system includes a first heat exchanger thermally connected to the thermal management system flowpath and to the electric machine, and a second heat exchanger thermally connected to the thermal management system flowpath downstream of the first heat exchanger. The second heat exchanger is thermally connected to the power electronics assembly.

The invention discloses a fault diagnosis and early warning method for an intelligent thermal management system of a power battery, and relates to the technical field of new energy automobile power battery safety. Comprising the following steps executed in sequence: S1) based on real-time monitoring data of a distributed temperature sensor in a battery module, constructing a dynamic space-time neural field model through an adaptive graph neural network, and generating a thermal field fingerprint representing a thermal propagation topology mode; according to the fault diagnosis and early warning method for the intelligent thermal management system of the power battery, a dynamic space-time neural field model is constructed, a sub-DEG C weak thermal abnormal signal is accurately captured, and a micro short circuit fault is recognized in advance in combination with electric heating delay analysis, so that the problem that a fault precursor signal is submerged by a complex working condition is solved; a double-channel verification mechanism depends on double mutual verification of physical law rigid constraint and intelligent residual feature recognition, the misjudgment risk caused by cooling system fluctuation and sensor noise is eliminated, and the early warning accuracy is improved.

The invention belongs to the technical field of charging pile thermoelectric control, and particularly relates to a high-power liquid cooling charging pile charging power optimization scheduling method and system. The method comprises the following steps: collecting operation state parameters of a plurality of liquid cooling charging piles; identifying a target pile body in a charging state or a standby state; calculating a theoretical energy supply upper limit based on an electrothermal model; combining the vehicle charging demand, the priority, the battery state and the power grid load to construct a power scheduling model and execute distribution; power adjustment and redistribution are carried out when cooling abnormity or connection faults are detected; and finally, a scheduling control instruction is generated and executed in real time. The system comprises an information acquisition module, a state identification module, a model calculation module, a power distribution module, a dynamic adjustment module and an instruction issuing module. According to the invention, efficient, safe and dynamic power scheduling control of the high-power liquid cooling charging pile in a multi-device parallel connection scene is realized.

The invention discloses an existing wind power blade electrothermal film deicing control method based on big data, and relates to the technical field of wind turbine generator operation control and ice prevention and removal. Frost ice / glaze ice probability output by an ice type discrimination model does not only give an alarm any more, but is directly converted into an increase / decrease coefficient constrained by boundary and monotonicity; energy can be fully put in a glaze ice scene, and overheating and over-consumption can be avoided in a frost ice scene; according to the method, the change trend of wind speed, temperature and relative humidity is introduced as modulation factors, the working condition of forming / turning glaze ice is responded in advance, and insufficient deicing caused by static threshold hysteresis is reduced; according to power deviation correction, a unit wind speed-power curve serves as a reference, a dead zone, segmented gain and accumulative saturation structure is adopted, on the premise of not depending on an external icing sensor, extrinsic performance of pneumatic degradation is closed into controlled quantity, sensitivity and stability are considered, and start-stop oscillation and duration drift are reduced.

The invention provides a concrete regulation and control system and method integrating heat recovery, spraying and gradient control, and relates to the technical field of concrete curing, and the concrete regulation and control system comprises a temperature sensing element and a humidity sensing element which are mounted on reinforcing steel bars in a concrete structure in a layered manner in the depth direction; the cooling water circulating system comprises a water pump and a cooling water pipe, and the cooling water pipe is arranged in the mass concrete structure and externally connected with a variable frequency circulating pump; the double-water-tank system is matched with the heater to realize graded regulation of water temperature; the automatic spraying system is connected with the integrated electric heating module; the heat recovery and circulation assembly is connected with an outlet of a cooling water pipe in the concrete, recovers concrete hydration heat brought out by the cooling water pipe, and transfers heat of high-temperature cooling water with the temperature being 50 DEG C or above to the phase change heat storage tank; the central control unit continuously receives and records monitoring data of the temperature sensor and the humidity sensor and analyzes the monitoring data in real time, and when the temperature gradient or the humidity gradient exceeds the limit, a gradient field control instruction is automatically triggered to achieve energy efficiency maximization.

The invention provides a comprehensive early warning control method and device suitable for a steam-fused salt heat storage system. The method comprises the steps that the temperature value of a mixed mother pipe temperature arrangement temperature field of a fused salt side outlet of a steam-fused salt heater is obtained so that fused salt can be guided to a fused salt tank; acquiring a temperature value of a molten salt side outlet temperature arrangement temperature field to trigger an associated protection action; according to the real-time temperature data of the fused salt circulation process temperature field, an electric heat tracing device at the corresponding position is started for preheating and condensation prevention; temperature values of the inner wall of the molten salt tank and a molten salt medium in the molten salt tank are obtained to carry out molten salt tank thermal stress early warning; obtaining the temperature value of the temperature of ceramsite at the bottom of the molten salt tank to judge whether the molten salt leaks or not; and the temperature value of the molten salt tank bottom basic temperature is obtained for ventilation control. Based on temperature monitoring and condition analysis, gradient early warning of the safety working condition of the fused salt side of the steam-fused salt heat storage system is effectively achieved, corresponding protection operation can be correspondingly implemented, and safety and stability of the fused salt system can be effectively prevented and guaranteed.

The invention discloses a comprehensive energy low-carbon optimization scheduling method and system based on a master-slave game. The method comprises the following steps: constructing a hydrogen-containing comprehensive energy system model, and inputting data of an external energy supply side, energy conversion and energy storage equipment and a load side to obtain initialized system operation parameters; building a user side model based on the model, generating an initial electricity / heat load demand, calculating a user alternative energy consumption rate and dynamically adjusting an electricity / heat energy conversion ratio in combination with a price difference of real-time electricity and heat prices and user energy consumption behavior characteristics, and forming a new electricity / heat load distribution scheme; the integrated energy operator generates an electricity / heat price signal and formulates a dual excitation strategy, the user aggregator adjusts the user energy load and response strategy according to the signal and the strategy and feeds back the strategy to the integrated energy operator, and the user aggregator and the integrated energy operator adjust bidirectional feedback iteration to solve Stackelberg balance through the electricity / heat price signal and the load to obtain an optimal scheduling scheme. According to the invention, economic low-carbon operation and benefit win-win between subjects can be realized.

The invention relates to the technical field of swimming pool heat pump control, and provides an electric heating coupling control method and system based on a swimming pool heat pump. The method comprises the following steps: collecting multi-source monitoring data of a swimming pool in real time; calculating a comprehensive temperature difference value and a heat loss rate based on the multi-source monitoring data; the comprehensive temperature difference value and the heat loss rate of the swimming pool are input into a coupling heating model based on a space-time attention mechanism, and dynamic heat pump power control parameters are generated; inputting multi-source monitoring data into the water quality and temperature linkage control model, and solving an optimal heat pump cycle adjustment strategy by adopting a Nash equilibrium algorithm with maximization of a water quality standard-reaching rate and minimization of temperature control energy consumption as a game target; according to the optimal heat pump cycle adjusting strategy and the heat pump power control parameters, electric heating control is conducted on the swimming pool heat pump, so that the temperature control efficiency of the swimming pool is improved, the operation safety of the swimming pool is guaranteed, and energy consumption minimization can be achieved on the premise that it is guaranteed that the water quality reaches the standard.

The invention discloses an electric steam generator with a waste heat recovery device, and relates to the technical field of steam generators, the electric steam generator comprises a main body, a heating cavity is fixedly connected to the inner side of the main body, a plurality of electric heating pipes are fixedly connected to the inner side of the main body and located on the periphery of the heating cavity, and a recovery unit is arranged on the outer side of the main body. The upper side of the main body is fixedly connected with a first water inlet pipe, the right side of the main body is fixedly connected with a steam discharge pipe and a gas pipeline, the recovery unit comprises a fixing frame, and the fixing frame is fixedly connected to the outer side of the main body. According to the electric steam generator with the waste heat recovery device, the main body, the heating cavity, the electric heating pipe, the smoke conveying pipe, the heat exchange pipe and the recovery barrel are arranged, generated high-temperature smoke waste heat is conveniently recovered, stirring plates on the upper side and the lower side are conveniently controlled to rotate through a control rod, a second gear, a first gear, a motor and a fixing ring, water is stirred, and the heat exchange effect is improved.

The invention belongs to the technical field of crude oil electric heating furnaces, and relates to a crude oil electric heating furnace control system and a crude oil electric heating furnace. Temperature feature vectors of multiple independent heating sections are collected, a dynamic weight matrix used for representing the thermal inertia unbalance degree is generated, and temperature control compensation gains are generated through real-time analysis in combination with crude oil viscosity-temperature data; performing adaptive adjustment by combining corresponding element values of the dynamic weight matrix to output a segmented power regulation instruction, preferentially calling redundant power of the main and auxiliary coils for cooperative heating, starting adjacent segment compensation heating when the main and auxiliary power is insufficient, and setting heat balance constraint and deviation monitoring termination conditions at the same time; local over-coking is avoided while the power resource utilization rate of the crude oil electric heating furnace is remarkably improved, the viscosity is rapidly converged to a steady-state range through closed-loop feedback of viscosity data after heating and iterative optimization of a regulation instruction, and the stability of long-term operation of the system and the achievement speed of a control target are remarkably improved.

The invention relates to a device for performing electric field treatment on a digestive tract, which comprises a support body, an electrode array film and a pulse generator, an electrode is coupled to the pulse generator through an electrode lead embedded in a film body, an electric heating wire is further embedded in the film body, and the electric heating wire is connected with the support body. The heating wire is coupled to a pulse signal output end of the pulse generator through a heating wire lead embedded in the membrane body, at least one electric connection point is arranged between the heating wire and the electrode on the electrode array membrane, and a voltage signal between the heating wire lead and the electrode lead serves as a temperature sensing signal. The temperature sensing circuit and the electric heating circuit are integrated, the circuit is simple, and leads on the electrode array film are reduced.

The invention relates to the technical field of connector detection, and discloses a reliability detection method based on a connector. The method comprises the following steps: acquiring real-time monitoring data of a multi-channel electrical sensor of a connector in a power-on state, wherein the real-time monitoring data covers a contact impedance fluctuation sequence, temperature rise gradient distribution and an electromagnetic leakage intensity spectrum; performing time-frequency domain fusion processing on the monitoring data, and extracting dynamic characteristic parameter sets such as impedance attenuation rate, heat conduction lag coefficient and field intensity distortion factor of each contact point; then, according to the parameter space distribution difference, a three-dimensional degradation model comprising a material performance attenuation layer, a contact surface deformation topology layer and an insulating medium loss layer is constructed; coupling mechanical stress and electric heating field intensity distribution based on the model, and generating life prediction indexes of each region; and finally, completing reliability grading according to the indexes, and outputting a detection report with key failure position marks. According to the method, comprehensive and accurate evaluation of the reliability of the connector is realized, and an effective technical path is provided for quality control of the connector.

The invention belongs to the technical field of high-energy-consumption industrial energy conservation and carbon reduction, and particularly relates to an electrolysis process waste heat gradient utilization and green electricity energy storage coupling system and a regulation and control method thereof. An electrolysis process waste heat gradient utilization and green electricity energy storage coupling system comprises a waste heat recovery module used for recovering and gradient utilization of electrolysis high-temperature and medium-low-temperature waste heat for power generation or heat supply; the green electricity direct supply module comprises a photovoltaic unit, a hybrid energy storage unit and an electricity-heat conversion unit and is used for preferential direct supply, fluctuation absorption and storage of green electricity; and the multi-energy coupling regulation and control module is in communication connection with each module and a power grid, and dynamically optimizes and coordinates energy distribution among waste heat power, green power, energy storage and the power grid based on a preset algorithm.

The invention relates to the technical field of new energy, and discloses an independent energy supply system suitable for a high-altitude area and a control method thereof, electric power is generated through photovoltaic power generation, part of the electric power is stored in a storage battery, and the residual electric power is used for electrolyzing water to prepare hydrogen and oxygen, and the hydrogen and the oxygen are respectively stored. The oxygen content in the air is increased by mixing the oxygen, the oxygen and the hydrogen jointly enter the fuel cell for chemical reaction, and stable electric power and hot water are output. In order to ensure the stability of the system, a low-temperature air source heat pump is configured to serve as standby heat supply equipment, and accurate adjustment and storage of electric power are achieved through cooperative work of a load tracking module and an efficient storage battery. According to the system, photovoltaic power generation, hydrogen energy storage and fuel cell technologies are combined, continuous and reliable power and heat combined supply can be achieved in high-altitude areas lack of power grid support, and an efficient and environment-friendly solution is provided for energy supply in remote areas.

The invention provides a three-dimensional vision and infrared thermal imaging combined calibration method and system and a medium, and the method comprises the steps: carrying out the processing of a calibration plate based on a special infrared response material or an electric heating insert, and obtaining a visible light angular point pattern and a calibration plate of a thermal response structure region; shooting an image of the calibration plate based on a three-dimensional vision camera, and extracting image coordinates; acquiring an infrared image of the calibration plate to obtain a thermal image, and analyzing distribution information of thermal characteristic elements on the calibration plate; establishing a nonlinear mapping relationship between the image coordinates and the distribution information of the thermal characteristic elements; analyzing a projection error based on the nonlinear mapping relation, and performing parameter calibration on the three-dimensional vision camera and the infrared thermal imager based on the projection error; the thermal imager and the three-dimensional vision camera are responded at a time through the bimodal calibration plate, a nonlinear injection relation is established, parameter calibration is accurately carried out on the three-dimensional vision camera and the infrared thermal imager according to projection errors, the calibration precision is improved, and the method is suitable for complex environments such as industry and medical treatment.

The invention provides a data center calculation, electricity and heat collaborative optimization scheduling method and system, and relates to the technical field of comprehensive energy scheduling. According to the scheduling method and system, a collaborative scheduling model of computing power, electric power and thermal power is constructed, and a user side thermal demand response mechanism is introduced, so that mismatching of waste heat supply of a data center and user thermal demand in time and space is dynamically relieved, and the waste heat utilization rate and the overall energy efficiency of the system are remarkably improved; by establishing a joint optimization framework, a complex coupling relationship among computing power, electric power and heating power is accurately described and coordinated, so that the comprehensive operation cost of the data center is minimized on the premise of ensuring the service quality of the workload of the data center; and a large language model-assisted deep learning algorithm is further adopted to solve the scheduling model so as to cope with multiple challenges of workload fluctuation, electricity price change and heat demand uncertainty, and a self-adaptive, intelligent and interpretable scheduling decision is realized.