7591results about How to "Practical" patented technology

The invention relates to an array electric imaging logging based reservoir oil-water identification method and system. Aiming at the resistivity distribution characteristics of mud-invaded formations, a 'five-parameter formation model' is established, which is adapted to the requirement for simulating the resistivity distribution characteristics of different mud types and different invaded formations, and is pioneering in the aspects of forward-inversion models and processing methods of array electric imaging logging; and based on a 'five-parameter inversion' method for array electric imaging logging, an operation of carrying out resistivity distribution profile reconstruction on mud-invaded formations is performed, which reflects the actual differences between different resistivity distribution characteristics or change rules of mud-invaded oil formations or water formations. The method has stronger practicability, and is pioneering in the actual application aspects of qualitative identification and quantitative calculation on reservoir fluid properties.

The invention discloses an LLM capability enhancement method of a hybrid enhancement strategy, and particularly relates to the technical field of natural language processing. The method comprises the following steps: obtaining corpus data and external literature data of a target application field, carrying out denoising, word segmentation and semantic indexing processing, and establishing a searchable heterogeneous knowledge base; secondly, classifying the corpus data by adopting a topic analysis and word vector clustering method to form a basic corpus set; performing multi-round parameter updating on the large language model by using a domain fine tuning algorithm based on the basic corpus set, and setting a fusion threshold value between a new parameter and an original parameter; and retrieving related literature fragments from the heterogeneous knowledge base through a matching algorithm, screening content conforming to field correlation by utilizing semantic similarity evaluation, fusing the content with the fine-tuned model, processing a fusion result by adopting a context fusion algorithm and an entity linking method, completing syntactic analysis, and generating a precise solution oriented to the target application field.

The invention discloses a link test method, electronic equipment, a storage medium, a product and computing equipment, and is applied to the technical field of data transmission. The method comprises the following steps: determining to-be-tested equipment according to a to-be-tested link and a link training trigger condition; when the to-be-tested link finishes executing the link training operation and the link is recovered, determining a target register storing running state parameter information of the to-be-tested link in the to-be-tested device based on a link training trigger condition, and reading the running state parameter information; and when the link to be tested is diagnosed to have no fault according to the running state parameter information, executing the corresponding link training operation again based on the link training triggering condition. According to the method, the problems that related technologies depend on special tools, the starting time is long and the low-probability hardware fault reproduction period is long can be solved, the applicability is high, and the link testing efficiency can be effectively improved.

The invention discloses a knowledge graph-based knowledge question and answer method and device and a storage medium, and belongs to the technical field of natural language processing. The method comprises the following steps: processing an obtained question statement input by a user to obtain a subject entity and a target question embedding vector; mapping the subject entities to the obtained target knowledge graph and the embedded representation thereof, and generating candidate answer entities according to the subject entities and the proximity relation thereof; performing similarity calculation on the subject entity embedding vector, the candidate answer entity embedding vector and the target question embedding vector to obtain a target candidate answer entity set; extracting a relation path set from the subject entity to the target candidate answer entity from the target knowledge graph, and obtaining a target relation path embedding vector based on the relation path set; and performing similarity calculation on the target question embedding vector and the target relation path embedding vector to complete answer reasoning. According to the method, the accuracy and efficiency of knowledge questions and answers are improved by combining a multi-hop reasoning technology.

The invention discloses a real-time monitoring and early warning method for the leakage state of a long-line type public facility, and relates to the technical field of monitoring and early warning of the leakage state of the long-line type public facility, and the method specifically comprises the following steps: analyzing environment dynamic response information stored in a central monitoring system; respectively generating a soil humidity change coefficient, an environment pressure response index and a temperature influence compensation coefficient; constructing a leakage risk assessment model for the generated soil humidity change coefficient, the environment pressure response index and the temperature influence compensation coefficient, and generating a leakage risk coefficient; and determining a preset leakage risk coefficient threshold value, comparing the determined leakage risk coefficient threshold value with the generated leakage risk coefficient, evaluating whether a leakage risk exists in the pipe gallery area close to the earth surface, and respectively generating a normal signal and an abnormal signal according to an evaluation result. According to the invention, the problem of underground pipe gallery leakage monitoring is solved, abnormal signals are accurately distinguished, and the monitoring accuracy and safety are improved.

The invention provides a sewage treatment plant drainage water quality evaluation method and system, and the method comprises the steps: collecting and processing water quality parameters of a plurality of point locations of a sewage treatment plant, recognizing abnormal data points through a deep learning anomaly detection model, and carrying out the dynamic correction or elimination of the abnormal data points through employing a particle swarm optimization-based adaptive filtering algorithm, thereby achieving the evaluation of the drainage water quality of the sewage treatment plant. Obtaining normal water quality data; constructing a water quality prediction model by using an integrated learning method, and predicting a water quality change trend; generating a target water quality improvement measure combination by using a first water quality improvement strategy recommendation mechanism based on a multi-objective optimization algorithm; and establishing a closed-loop feedback mechanism, evaluating the application effect of the target water quality improvement measure combination by using a reinforcement learning algorithm, adjusting key parameters of the water quality prediction model and the multi-target optimization algorithm, optimizing the first water quality improvement strategy recommendation mechanism, and generating an optimal target water quality improvement measure combination. The system realizes comprehensive, accurate and real-time monitoring and management of the drainage water quality of the sewage treatment plant, and improves the water quality improvement effect.

The invention discloses a modified Trim 21 (delta Trim 21)-based target protein degradation control system, which takes a modified protein delta Trim 21 degradation system as a basis, takes blue light, abscisic acid, Danoprevir and / or MK-5172 as inductors, controls the combination of target protein and delta Trim 21 by introducing and modifying a controllable protein dimerization system on the basis of the modified protein delta Trim 21 degradation system, and improves the target protein degradation control system. The protein targeted degradation capable of being modularly regulated and controlled is carried out. Two regulation and control modules, namely a target protein recognition module and a degradation module based on E3 ubiquitinase, are constructed by splitting and recombining a controllable protein dimerization system and a delta Trim 21 structural domain. The invention also discloses a degradation device comprising the system. The invention also discloses a method for accurately regulating endogenous proteins (degradation of proteins related to tumorigenesis) by using the programmable regulation type modular protein degradation device, so as to achieve the effect of specifically killing tumors. The invention also provides a eukaryotic expression vector and a regulation method of the programmable regulation type protein targeted degradation device.

The invention relates to a mechanism data collaboratively driven dam safety state intelligent diagnosis method and system. The method comprises the steps of collecting environmental quantity data, dam deformation data and corresponding monitoring point coordinates; a PINN model is constructed, the PINN model comprises an input layer, a hidden layer and an output layer, the input layer receives the collected data, and the output layer outputs a predicted value of a deformation component; the PINN model is trained, the weight and bias of the PINN model are adjusted by minimizing a comprehensive loss function, and the comprehensive loss function comprises a data driving loss function, a physical constraint loss function and a boundary condition loss function; using the trained PINN model to predict a deformation field; and comparing the prediction result with the monitoring index to obtain an abnormal region, and performing abnormality diagnosis on the abnormal region. Through the mechanism data synergistic effect, it is guaranteed that model prediction follows the physical law, actual monitoring data can be better fitted, and high-precision dam safety state prediction and diagnosis are achieved.

The invention discloses a ship block construction process-level production scheduling method and system based on a particle swarm-genetic hybrid algorithm. The method comprises the following steps: constructing a standardized process-level process design data model; based on an operation plan decomposition rule, decomposing the segmented production task into a part-level operation production task matched with the process; establishing an optimization target model with the shortest delivery time, the least overdue tasks, the most balanced load and the like, and constraint rules such as lane and line separation and customization station rules, process route and process constraint rules, material and capacity constraint, priority and the like; optimizing the segmented production plan through a particle swarm-genetic hybrid algorithm until an optimization result meeting the requirement is obtained; and according to the feedback of the actual execution condition of the plan, the orders are classified based on a clustering algorithm, and the operation cycle parameters of different processes are dynamically compensated. The method has the advantages of being high in plan fineness, small in operation progress estimation deviation and the like, is high in calculation speed and low in algorithm complexity, fully considers support of process design data of a design end on algorithm implementation, and is very suitable for engineering application.

The invention discloses a workpiece table of a proximity contact type exposure machine. A horizontal driving device has a degree of freedom of movement along an X-axis direction and a Y-axis direction; the rotating table has the freedom degree of rotating around the central axis of the rotating table. The lifting table is arranged above the rotating table and has the degree of freedom of moving in the Z-axis direction; the Z-axis voice coil motor is arranged between the rotating table and the lifting table and used for driving the lifting table to move in the Z-axis direction. The ball bowl leveling assembly is arranged between the wafer carrying table and the lifting table and comprises a ball bowl seat with a bowl-shaped cavity and a ball head matched with the bowl-shaped cavity; a concave cavity is formed in the bottom of the bowl-shaped cavity; the spherical surface of the ball head is in sliding sealing fit with the spherical inner wall surface of the bowl-shaped cavity and seals the concave cavity; the mask frame is arranged above the wafer carrying table. According to the invention, the relative position and posture between the mask plate and the wafer can be adjusted, the accurate control of the leveling process is realized, the high-precision movement of four degrees of freedom of X / Y / Z / RZ is effectively realized, the accurate control of the leveling contact force is realized, and the practicability is high.

The invention discloses a Pick ball athlete action recognition and analysis system based on multi-modal data fusion, and the system comprises the steps: collecting the video image data and sensor data of a Pick ball athlete in the motion process, and carrying out the feature extraction of the body posture of the athlete in the video image data through a convolutional neural network; according to the method, a recurrent neural network is combined to perform action classification on a feature sequence, meanwhile, sensor data are fused, accurate recognition of actions of an athlete is achieved, meanwhile, detailed technical parameters of the athlete in the ball hitting action can be obtained by deeply analyzing the recognized actions, accurate guidance is provided for training of the athlete, and the training efficiency is improved. And the technical level and the competitive ability of athletes can be improved.

The invention discloses a rigidity-variable rope traction flexible robot joint, a mechanical arm and a robot. The rigidity-variable rope traction flexible robot joint comprises a tail end motion platform (1), a flexible regulation and control supporting body, a joint driving mechanism, a rigidity-variable driving steering engine (10) and a fixed base (3). The flexible regulation and control support body is connected with the fixed base (3) and the tail end motion platform (1); a flexible supporting sleeve assembly (6) is nested outside a movable supporting ring shaft assembly (9), and a variable-rigidity driving steering engine (10) is mounted in the center of a fixed base (3), is connected with the flexible supporting sleeve assembly (6) and the movable supporting ring shaft assembly (9) and drives the flexible supporting sleeve assembly (6) and the movable supporting ring shaft assembly (9) to rotate relatively to change the rigidity of a flexible regulation and control supporting body; the joint driving mechanism pulls the tail end motion platform (1) through a rope to drive the flexible regulation and control supporting body to bend, and motion of the joint robot is achieved. And the two-degree-of-freedom bending motion capacity is achieved, active rigidity regulation and control are achieved by reconstructing an internal structure, external environment conditions do not need to be changed, and regulation and control of the joint rigidity are achieved.

The utility model belongs to the technical field of frame dismounting devices, and relates to a photovoltaic module frame dismounting device capable of self-adapting to glass breaking of various sizes, which comprises a working table, and a long-edge frame dismounting mechanism and a short-edge frame dismounting mechanism which are respectively arranged on the working table, the long-side frame disassembling mechanisms and the short-side frame disassembling mechanisms are arranged in pairs, the paired long-side frame disassembling mechanisms are distributed at the positions close to the long sides of the photovoltaic panel frame in a mirror image mode relative to the central position of the workbench, and the long-side frame disassembling mechanisms downwards press the photovoltaic panel and then outwards push out the long sides of the photovoltaic panel frame. The paired short-edge frame disassembling mechanisms are distributed at the positions close to the short edges of the photovoltaic panel frame in a mirror image mode relative to the central position of the workbench, and the short-edge frame disassembling mechanisms downwards press the photovoltaic panel and then push the short edges of the photovoltaic panel frame outwards. According to the utility model, the paired long-side frame dismounting mechanisms and the paired short-side frame dismounting mechanisms are respectively arranged, so that the four frames are dismounted, the cutting of four corners is not needed, the frame dismounting operation is simple, and the reutilization rate of the frames is improved.

The invention relates to the field of heat supply heat load operation adjustment, and provides a continuous optimization heat supply load prediction method and system based on big data analysis learning, and the method comprises the steps: S1, configuring a data interface on a real-time library service module to receive real-time and historical operation data, the operation data comprises meteorological information data, heat exchange station heat load and room temperature qualification rate; and S2, preprocessing the collected operation data through a data processing module integrated on the heat supply platform service module, and analyzing the preprocessed operation data through an analysis algorithm stored in a relation module to determine a predicted heat load value of a next control period. The heat supply platform is combined, the big data analysis technology is used for learning and analyzing historical heat supply network operation data, proper correction and adjustment are carried out, the heat load of the heat supply system is effectively predicted, the method is closely combined with actual operation, prediction accuracy is remarkably improved, the operation process is simplified, energy use is optimized, and the operation efficiency and the system response speed are improved.

The pneumatic centralized discharging type spiral fertilizer discharging system is mounted on a sowing and synchronous fertilizing machine, the pneumatic centralized discharging type spiral fertilizer discharging system comprises a spiral conveying pipe, a pneumatic distributor and a gas-fertilizer mixing device, the lower end of the spiral conveying pipe is communicated with a mixing cavity of the gas-fertilizer mixing device, the upper end of the spiral conveying pipe is communicated with a mixing cavity of the pneumatic distributor, and the lower end of the spiral conveying pipe is communicated with a mixing cavity of the pneumatic distributor. The spiral conveying pipe is vertically arranged, and the inner wall of the pipe is designed to be in a thread rotating type protruding mode. The invention further discloses a control method of the pneumatic centralized discharging type spiral fertilizer discharging system, the influence of external factors on the consistency of the fertilizer discharging amount of each row is reduced, the reliability and stability of the fertilizer discharging system are improved, and it is ensured that crops obtain uniform and accurate fertilizer supply.

The utility model provides an intercepting and purifying device suitable for river-entering farmland ditches, which comprises an intercepting structure and a purifying structure, the intercepting structure comprises a sludge deposition and grit chamber and a steel grating, a denitrification device containing denitrifying phosphorus-accumulating bacteria and adsorptive mineral materials is placed in the sludge deposition and grit chamber, and the steel grating is arranged in the sludge deposition and grit chamber. A sand setting inlet and a sand setting outlet are formed in the two opposite sides of the steel grating respectively, the steel grating is arranged at the sand setting outlet, and the sand setting inlet is used for being communicated with an ecological ditch; the purification structure comprises an ecological purification pond and a gabion packing bed, the ecological purification pond is provided with a purification inlet and a purification outlet, gabions are arranged at the purification inlet and the purification outlet, the ecological purification pond is tightly attached to the sludge deposition and grit chamber, the purification inlet is opposite to and communicated with the grit inlet, and the gabion packing bed is arranged in the sludge deposition and grit chamber. And the gabion packing bed is arranged in the ecological purification pond.

The invention belongs to but is not limited to the technical field of three-dimensional space dose visualization, and discloses a three-dimensional nuclear emergency radiation field calculation and visualization method and system, based on a point nuclear method, a cumulative factor, mass attenuation factor and flux rate-dose rate conversion factor database is established, a mean free path solving algorithm is optimized, and a three-dimensional nuclear emergency radiation field is obtained. The geometric types of radioactive sources are expanded, and the dose calculation efficiency is improved through parallel calculation; plane dose rate drawing at a certain height is realized based on a two-dimensional texture mapping method; three-dimensional space dose rate contour surface drawing is realized based on a moving cube algorithm; and three-dimensional space dose rate volume rendering is realized based on a three-dimensional texture volume rendering technology. Radiation field dose calculation, three-dimensional radiation field dose visualization and GIS are integrated, and the system is used as a subsystem of a nuclear emergency aid decision simulation platform. The dose distribution diagram in the area can be judged more visually, and the method has a good help effect on nuclear emergency command.

The invention belongs to the field of catalyst preparation, and provides a preparation method for rapidly synthesizing a self-supporting high-entropy alloy difunctional electrocatalyst through Joule heat. The prepared FeCuRu-coated Ni1Co1-TPA is benefited from rich active sites, and the high conductivity of effective electron transfer and transmission is achieved. The catalyst shows excellent HER and OER catalytic performance under an alkaline condition, and the current density of 500mA cm <-2 > can be realized by only needing overpotentials of 120mV and 350mV, which is superior to those of a standard noble metal catalyst Pt / C and RuO2. In addition, when the composite material is used as a bifunctional electrocatalyst for electrolyzing water, the composite material shows excellent catalytic activity for electrolyzing water. The method has important significance for realizing the social renewable development target and developing clean and sustainable energy resources to replace fossil fuel.

The invention belongs to the field of medical information systems, and provides a medical institution full-process doctor-seeing path planning method and system based on artificial intelligence, and the method comprises the steps: modeling each doctor-seeing link in a medical institution into a directed graph; the node features and the edge weights of the directed graph serve as input, the node features are updated through a graph neural network, and the weight of each node is dynamically generated; a queuing theory model is adopted for modeling according to the queuing condition of each node, and the average waiting time of each node is calculated; designing a multi-objective optimization function, and taking balance of the shortest path and the minimum waiting time as an optimization objective to generate an optimal doctor-seeing path scheme; the resource state of each node is dynamically monitored based on a real-time feedback mechanism of the Internet of Things equipment and a hospital information system, and when it is monitored that the resource state or waiting time of the node is changed, the graph neural network and the queuing theory model are recalled to update node features and priority weights.

The invention discloses an electric power distribution method convenient for maintenance. By arranging a second threaded column (21) and an extrusion plate (22), when the second threaded column (21) rotates, the extrusion plate (22) can be driven to rotate, then the extrusion plate (22) can drive a friction pad (27) to rotate, and when the friction pad (27) is connected with the lower surface of the inner wall of a shell (1) in a lap joint mode, a support plate (17) can be fixed; and by arranging a stop block (28), when the back face of a second protection plate (10) is connected with the front face of the stop block (28) in a lap joint mode, a first threaded column (13) can be more conveniently connected with a second threaded sleeve (14), and therefore the second protection plate (10) can be better fixed. The electric power distribution method convenient for maintenance has the advantages that the structure is compact, the design is reasonable, and the practicability is high.

The invention belongs to the field of electrochemical biosensors, discloses a preparation method of an electrochemical biosensor capable of being used for multi-mode sweat detection, and particularly provides a single-electrode multifunctional arrangement method in a three-electrode system. A sensor material with high sensitivity and high selectivity is prepared, then the sensor material is printed through screen printing and assembled into a portable device to achieve simultaneous detection of multiple biomarkers in sweat, and the preparation method comprises the steps of selection and modification of an electrode material, sensor assembly and integration of a signal acquisition and analysis system. Through innovative material design and process optimization, the sensor not only can acquire information of various biomarkers in sweat in real time, but also can provide reliable data analysis, and shows excellent long-term stability and anti-interference capability in practical application. The technology provides an effective and reliable solution for real-time health monitoring.

The invention discloses a high-efficiency artificial cultivation method for gordon euryale seeds in northeast marsh, and belongs to the technical field of production and cultivation of economic plants in marsh, the method comprises the following steps: 1, selecting and germinating wild seeds; 2, seedling raising and temporary planting; 3, field transplanting and field planting; 4, growth management and harvesting. According to the method, the maturing rate of the gordon euryale seeds can be remarkably increased only by adopting a scientific method during transplanting, keeping the plant spacing and reasonably regulating and controlling the water level after transplanting, operation is easy and convenient, and the seed yield per unit area is increased by 5%. The method can effectively solve the problems of low survival rate, uneven growth vigor and unstable yield of wild gordon euryale seeds in northeast marsh.

The invention discloses a whole corn plant harvesting, separating and packing machine, which belongs to the field of agricultural machinery and comprises a frame assembly, a corn header is arranged at the front end of the frame assembly, and a corn ear peeling device, a corn cob collecting device, a corn cob transferring device and a corn cob threshing device are arranged on the rear side of the corn header. A corn kernel storage chamber is arranged on the left side of the corn cob threshing device, and a corn cob transfer device and a corn cob storage chamber are arranged on the rear side of the corn cob threshing device; a straw smashing and screening device is arranged below the corncob peeling device, and a soft material conveying track, a hard skin conveying track, a soft material packaging machine, a film winding device, a fermentation liquor spraying device and a hard skin squeezing and bundling machine are arranged on the rear side of the straw smashing and screening device. Whole corn plants are harvested through one machine, and after being harvested, the whole corn plants are separated according to material attributes and are not wasted any more, so that the whole corn plants are fully utilized; people are intellectual; the effort is made to the best; the whole corn plants are completely eaten and squeezed on one machine.

The invention discloses an unmanned charging control method, device and system and a storage medium, and the method comprises the steps: responding to a vehicle parking signal when the vehicle parking signal corresponding to a to-be-charged vehicle is obtained, and controlling a six-degree-of-freedom mechanical arm control mechanism to execute a charging gun grabbing action, controlling the charging gun to move to a target charging position corresponding to the vehicle to be charged; when the charging gun moves to the target charging position, the six-degree-of-freedom mechanical arm control mechanism is controlled to execute the charging gun plugging action, so that the charging gun is controlled to be in butt joint with the vehicle needing to be charged; and when butt joint is completed, the six-degree-of-freedom mechanical arm control mechanism is controlled to execute a homing action, and the charging pile is controlled to charge the vehicle needing to be charged through the charging gun electrically connected with the charging pile. Quick response and power matching of the electric vehicle on any charging parking space can be achieved, universality and practicability are high, charging power is large, efficiency is high, and unmanned intelligent charging is truly achieved; the device is simple in structure, mature in technology, low in cost and suitable for popularization and application.

The invention relates to the technical field of fire tracing and positioning, in particular to a fire source accurate positioning method and device based on deep learning, and the method comprises the steps: obtaining a sensor data set and a fire source information data set of a fire region, generating a feature vector according to the sensor data set to obtain a feature matrix, and based on the distribution condition of the sensor data, acquiring fire source information corresponding to each feature matrix in the fire source information data set to generate a training set, a verification set and a test set, and based on the training set, the verification set and the test set, acquiring fire source information of the predicted fire area by using a preset deep learning strategy. And fire source positioning information is obtained according to the predicted fire source information. Therefore, the problems that in the related technology, under the conditions that light is insufficient, other heat sources exist or flames are shielded, a sensor is prone to misinformation or missed information, the fire source positioning precision is unstable, the fire source position is difficult to position accurately, the fire extinguishing and rescue efficiency is seriously affected, and the optimal rescue opportunity is delayed are solved.

The invention relates to a communication device compatible with a hybrid network of Ethernet and FC-AE-1553, belongs to the technical field of hybrid network communication of FC-AE-1553 and Ethernet, and solves the problems of complex structure, large size and high cost of the FC-AE-1553 and Ethernet communication network in the prior art. The communication device comprises an Ethernet interface conversion module, an Ethernet data exchange module, a protocol processing module, an FC data exchange module and an FC transceiver module. The Ethernet interface conversion module receives an Ethernet data frame sent by an Ethernet node and forwards the Ethernet data frame to the Ethernet data exchange module or the protocol processing module; the FC transceiver module receives an FC-AE-1553 frame sent by an FC-AE-1553 node, and forwards the FC-AE-1553 frame to the FC data exchange module; the FC data exchange module forwards the FC-AE-1553 frame to the FC transceiver module or the protocol processing module; and the protocol processing module is used for realizing mutual conversion between an Ethernet frame and an FC-AE-1553 frame and sending the Ethernet frame and the FC-AE-1553 frame to an Ethernet node. The communication network of the Ethernet and the FC-AE-1553 is simple in structure, small in occupied volume and low in cost.

The invention provides an ink quality online monitoring method and system based on multi-sensor fusion, and relates to the technical field of printers, and the method comprises the steps: obtaining the temperature, humidity, pH value, viscosity, particle thickness, flow velocity and other data collected by a plurality of sensors in the production process of water-based ink, and employing a multi-sensor data fusion algorithm of adaptive weight, calculating a sensing weight corresponding to the sensor data, and combining the sensor data to obtain fused water-based ink quality characteristic data; establishing a water-based ink quality prediction model by adopting a support vector machine algorithm, and inputting the fused water-based ink quality feature data into the trained water-based ink quality prediction model to obtain a water-based ink quality prediction result; and if the water-based ink quality prediction result does not meet the preset condition, judging that the water-based ink quality is unqualified, sending a feedback signal in a preset format to water-based ink production equipment, and adjusting water-based ink production parameters through a PID controller of the water-based ink production equipment. According to the method, the related parameters of the ink can be monitored and reflected in real time, and the possible problem of artificial false description is solved.

The invention discloses a thermal power generating unit high-pressure heater fault load reduction control method, which comprises the following steps of: 1, judging whether a thermal power generating unit generates high-pressure heater fault splitting or not, and if so, entering a step 2; 2, judging whether a triggering condition of a unit load reduction program is met or not, if yes, sending a unit rapid load reduction instruction, and entering a step 3; 4, whether the auxiliary machine fault load reduction program is completed or not is judged, if the auxiliary machine fault load reduction program is completed, the unit enters a stable transition state, and if the auxiliary machine fault load reduction program is completed, the third step is executed again. The method is reasonable in design, key actions of thermal power generating unit high-pressure heater auxiliary machine fault load reduction are defined and set in control logic, automatic control of the thermal power generating unit high-pressure heater auxiliary machine fault load reduction process has practical operability, intelligent control of the load reduction process is achieved, and the reliability of the load reduction process is improved. And the stability and the safety of the thermal power generating unit after the high-pressure heater is split are ensured.

The invention discloses a magnetic buckle and a kettle device, the kettle device comprises a kettle main body and the magnetic buckle, the magnetic buckle comprises a male buckle and a female buckle, a rotatable unlocking operation piece is arranged in the female buckle, and the male buckle and the female buckle can be driven to be disengaged through the unlocking operation piece; the female buckle can be fixedly arranged on the kettle body or detachably connected with the kettle body, and the male buckle is used for being fixed to a using place. According to the kettle device, hanging and dismounting of the kettle body are achieved through detachable connection of the male buckle and the female buckle, the force application direction of the unlocking operation is conducted in the direction away from the male buckle and is consistent with the gripping force direction when a user grips the kettle, and therefore unlocking can be conducted while the kettle is gripped, the action is completed at one time, and the user experience is improved. And the kettle main body can be taken down from a use place without excessive actions, so that the operation is very humanized, the practicability is very high, and the kettle is suitable for being vigorously popularized.

The invention discloses a junction temperature estimation method and device for a power semiconductor and a vehicle, and the method comprises the steps: obtaining the loss, temperature rise data and environment temperature of the power semiconductor in an electric period, the temperature rise data comprises temperature rise values of the temperatures of the power semiconductor under different operation conditions relative to the environment temperature; determining thermal impedance according to the loss and temperature rise data; and determining the junction temperature according to the loss, the thermal impedance and the environment temperature. According to the method, the load rate of the vehicle-mounted software can be reduced, additional hardware does not need to be added, so that test resources are simple, the accuracy is high, the practicability is high, the junction temperature calculation efficiency is improved, and the calculation time is saved.