327results about How to "Reduce performance degradation" patented technology

The invention relates to the technical field of battery control, in particular to a new energy automobile battery device and a control method thereof. The method comprises the following steps that dynamic parameter monitoring is conducted on an automobile battery, a battery state parameter set is obtained, and the battery state parameter set comprises a residual electric quantity continuous parameter, a voltage continuous parameter, a current continuous parameter and a temperature continuous parameter; according to the battery state parameter set, working condition identification is carried out on the automobile battery, a battery working condition type is obtained, and the battery working condition type is any one of a discharging working condition, a charging working condition and a standing working condition; if the battery working condition type is a discharge working condition, performing driving behavior data acquisition on the target automobile to obtain a driving behavior data set; and performing driving behavior pattern recognition on the target automobile based on the driving behavior data set to obtain a driving pattern type. The use efficiency and the safety of the battery are improved.

The invention relates to the technical field of artificial intelligence, in particular to an intelligent operation and maintenance system of a cluster system based on reinforcement learning. The system comprises a cluster modeling module, a multi-dimensional situation awareness module, an intelligent decision planning module and an efficiency evaluation module, and realizes autonomous operation and maintenance and dynamic management of the cluster system in a complex environment in combination with various reinforcement learning algorithms. According to the system, reinforcement learning algorithms such as a deep Q network (DQN), Actor-Critic Monte Carlo Tree Search (AC-MCTS) and distributed near-end strategy optimization (DPPO) are introduced to optimize a maintenance time sequence and a strategy, so that the fault rate and the operation and maintenance cost of the system are reduced; the system function is quickly recovered, and the performance loss caused by sudden failure of the system is reduced; and task collaboration and system stability are ensured.

The invention relates to the technical field of textile printing and dyeing setting machines, and provides a data acquisition method and system for a temperature controller of a setting machine. The method comprises the following specific implementation steps: firstly, calculating an initial first temperature sampling frequency in a preheating stage through an environment temperature and a target temperature; then, calculating the temperature amplification in the temperature control area, predicting a temperature amplification vector at the next sampling moment in combination with a temperature state estimation equation, and controlling a first temperature sampling frequency in real time through a temperature sampling adaptive controller; thirdly, the initial second temperature sampling frequency of the shaping stage is calculated, and the second temperature sampling frequency is automatically adjusted according to the temperature change of the temperature control area and the heating power change rate through a self-adaptive fuzzy controller; and finally, acquiring temperature data in the temperature control area according to the temperature acquisition frequency controlled in real time, and judging whether to send out early warning or not. According to the invention, the sampling frequency can be dynamically adjusted according to the real-time temperature data in the preheating and setting stages of the setting machine, so that an efficient and accurate temperature control process is realized.

The invention discloses a preparation method of a reverse osmosis membrane and the reverse osmosis membrane. The preparation method comprises the following steps: (1) adding polyethersulfone into N, N-dimethylacetamide in a heating and stirring state, and stirring for a period of time after charging is completed, so as to obtain a mixed solution; (2) cooling the mixed solution, continuing to add a pore-foaming agent, and stirring for a period of time after charging is completed to obtain a precursor solution; (3) performing vacuum defoaming treatment on the precursor solution to obtain a membrane casting solution; (4) loading the membrane casting solution on a carrier, and then carrying out gel bath treatment to obtain a base membrane; and (5) performing polyamide treatment on the surface of the base membrane to obtain the reverse osmosis membrane. The preparation method disclosed by the invention is simple in process and low in material cost, and the obtained reverse osmosis membrane has more uniform and more through-type pore structures, higher separation efficiency, more excellent chemical stability and better mechanical properties, can adapt to higher operation pressure, and can continuously and stably operate at higher flux under high pressure.

The invention belongs to the technical field of enterprise relation extraction, and particularly provides a transfer learning entity relation extraction method, device and equipment based on field self-adaption and a storage medium. The method comprises the steps that one or more source fields are selected; performing pre-training on the selected source field by adopting a deep learning model, and learning a labeled enterprise relationship data set in the source field; selecting a target domain with unlabeled or partially labeled enterprise relational data, and adjusting pre-trained model parameters by using a domain adaptive algorithm to adapt to data features and distribution of the target domain; after field adaptation of target field data features and distribution is completed, a transfer learning algorithm is deployed to carry out fine adjustment on the adjusted deep learning model; verifying the performance of the fine-tuned deep learning model in the target domain; and identifying and extracting the enterprise relationship and the relationship thereof in the text by applying the fine-tuned deep learning model in the target field. And high quality and consistency of the extracted enterprise relationship and the relationship data thereof are ensured.

The invention discloses a fuel cell fault-tolerant control method and device based on reinforcement learning in the field of fuel cells, and the method comprises the steps: obtaining monitoring parameters of a fuel cell in an operation state, and constructing a state space based on the monitoring parameters; obtaining an executable operation in the running state of the fuel cell, and constructing an action space based on the executable operation; constructing a reward function based on the state space and the action space by taking control cost minimization as a target; constructing a fault-tolerant control strategy model based on a DDPG algorithm, and training and verifying the fault-tolerant control strategy model through a state space, an action space and a reward function; and fuel cell fault-tolerant control is carried out through the trained and verified fault-tolerant control strategy model. According to the method, the DDPG algorithm is introduced, target state parameters are monitored in real time in the operation process, a control strategy is automatically adjusted by using reinforcement learning when a fault occurs, it is ensured that the system can still keep stable power output under the fault condition, and optimal control is achieved.

The invention discloses a cooling system, a control method of the cooling system and an edge server, and relates to the technical field of servers, and the cooling system comprises a refrigeration module and a vapor chamber module. The refrigeration module is used for being arranged outside the case and comprises a generator and an evaporator, and the generator and the evaporator are used for being arranged at a first heat conduction contact position and a second heat conduction contact position of the case correspondingly; the vapor chamber module is used for being arranged in a case and comprises a first vapor chamber set and a second vapor chamber set, the first vapor chamber set is used for being fixed to a heating assembly in the case, and the second vapor chamber set is connected with the first vapor chamber set. And the second uniform temperature plate group is configured to be in heat-conducting contact with the generator at the first heat-conducting contact position and in heat-conducting contact with the evaporator at the second heat-conducting contact position. The cooling system solves the problem that long-term stable work of equipment cannot be guaranteed when a current edge server works in an outdoor environment.

The utility model relates to an electrode assembly and a battery monomer adopting the same, the electrode assembly consists of a positive plate, a negative plate and a diaphragm, the electrode assembly is provided with a positive lug and a negative lug, and the size of the negative plate is larger than that of the positive plate; the corner of the positive plate is an inner arc angle; the corner of the negative plate is an outer arc angle; the positive plates and the negative plates are stacked in sequence, and the diaphragms are arranged between the adjacent positive plates and negative plates. The corner of the negative plate is designed to be the outward arc angle, and the corner of the positive plate is designed to be the inward arc angle, so that the aluminum plastic film PP layer is effectively prevented from being scratched in the stacking and packaging processes of the electrode plates. According to the design, the stacking mode of the electrode plates is improved, the possibility of physical interference is reduced, and meanwhile, the reduction of loss in the battery assembly process is also facilitated.

The invention discloses an unmanned loading vehicle autonomous loading and unloading method suitable for mining area bulk cargo transfer, and relates to the technical field of mining unmanned loading and unloading and transportation control, and the method comprises the following steps: S1, carrying out function division on an open-air mining area to obtain a corresponding bulk cargo stacking area, an unmanned loading vehicle waiting area and a truck waiting area; and S2, an autonomous loading and unloading system is integrated on the unmanned loading vehicle, mining area environment information is obtained through the autonomous loading and unloading system, a global map of an operation area is constructed, an operation path is planned, loading and unloading operation is completed, and in the autonomous loading and unloading system, a loading and unloading operation logic module serves as a main process. According to the unmanned loading vehicle autonomous loading and unloading method suitable for mining area bulk cargo transfer, all scenes in the mining area bulk cargo loading and unloading process are independently achieved through the unmanned loading vehicle, that is, the unmanned loading vehicle can accurately construct an operation environment map through an advanced sensor and an intelligent algorithm, and efficient autonomous loading and unloading are achieved.

The invention relates to the field of computer networks, in particular to a data processing method and device based on an active-active cluster architecture. According to the method provided by the embodiment of the invention, by acquiring comprehensive state information, potential performance bottlenecks and fault points can be found in time, and optimization and processing are carried out in advance, so that the system performance is improved, and the problem that the system state is incomprehensively known in a traditional architecture is solved. And then the optimal writing target can be selected according to the actual demand and the real-time state, so that the efficiency and the performance of data storage and transmission are improved. And finally, writing the business data into the target object according to a writing strategy corresponding to the object association information, thereby ensuring high efficiency and reliability of the writing process, reducing performance reduction and data errors caused by improper strategies, and improving the overall system performance.

The invention discloses a method for improving the efficiency of a perovskite solar cell, and belongs to the technical field of solar cells. The insulating spacer film prepared between the electron transport layer and the perovskite layer of the perovskite solar cell by adopting the electron beam evaporation method has high uniformity, the cell interface structure can be optimized, defects are reduced, charge recombination loss is reduced, and the photoelectric conversion efficiency and stability are effectively improved. The insulating spacer layer not only can block external moisture and pollutants, reduce direct contact between the perovskite layer and the electron transport layer and prolong the service life of the cell, but also can inhibit internal ion migration and slow down performance degradation. By accurately regulating and controlling the thickness of the insulating spacer layer, charge transmission optimization and compound loss minimization are realized. An innovative technical path is provided for research and development of efficient and stable perovskite solar cells, and further development of the solar cell technology is expected to be promoted.

The invention relates to a fault prediction method and system for an IP network. The method comprises the following steps: collecting network link data; extracting network link characteristics according to the network link data; training a GRU model through the network link features to obtain a prediction model; and inputting real-time network data into the prediction model to obtain a prediction result. According to the invention, the efficiency and accuracy performance of performance monitoring and fault prediction can be improved.

The invention discloses a self-adaptive lubrication worm gear case, and belongs to the technical field of worm gear cases. The self-adaptive lubrication worm gear case comprises a housing and a bottom shell, and further comprises an oil inlet formed in the top of the housing; the oil outlet is formed in the bottom of the bottom shell; a worm gear and a worm are arranged in a worm gear box composed of the cover shell and the bottom shell, and the worm gear and the worm are connected in a meshed mode. The first gear and the worm rotate synchronously, the first gear is arranged in the bottom shell, and a plurality of second gears are connected to the first gear in a meshed mode; the vertical pipe is arranged in the bottom shell, the top end of the vertical pipe is communicated with a taper pipe, an impeller is arranged in the taper pipe, the impeller is fixedly connected with the second gear, and the taper pipe is communicated with a nozzle; accumulated stress at the two ends of the worm can be released, accumulation of internal stress is reduced, fatigue fracture of the worm is avoided, and the service life of the worm gear case is prolonged.

The invention relates to the technical field of vehicle control systems, provides a fuzzy control-based vehicle gear shifting optimization adjustment system and method, solves the problems of large rule matching workload and low decision-making speed in fuzzy control, and provides a fuzzy control-based vehicle gear shifting optimization adjustment system and method by collecting vehicle real-time data and utilizing a random forest model to carry out gear shifting simulation. And gear shifting parameter errors are detected according to a preset error range. And for the data exceeding the error range, the system extracts data features, matches and trains a model suitable for the current scene, optimizes the model by using a genetic algorithm, and outputs optimized gear shifting parameters, so that the real-time performance, the accuracy and the adaptive capacity of gear shifting control are improved, the gear shifting strategy is optimized, and the vehicle driving performance is improved.

The invention provides an aluminum-based composite material reinforced by nickel-coated silicon carbide through a magnetron sputtering dry method and a preparation process of the aluminum-based composite material, and relates to the technical field of metal-based composite materials and advanced electronic packaging thermal management materials. Comprising the following steps that S1, silicon carbide particles coated with nickel through a magnetron sputtering dry method and aluminum powder are put into a mold to be subjected to compression molding, and an initial blank is obtained; and S2, the initial blank prepared in the step S1 is placed in a re-pressing sintering furnace under the inert gas protection condition, continuous re-pressing is conducted under the temperature condition ranging from the temperature lower than the aluminum melting point by 50 DEG C to the temperature higher than the aluminum melting point by 200 DEG C, and the nickel-coated silicon carbide reinforced aluminum-based composite material obtained through the magnetron sputtering dry method is obtained. The aluminum-based composite material reinforced by magnetron sputtering dry nickel-coated silicon carbide disclosed by the invention is excellent in heat-conducting property and mechanical property and long in service life.

The invention relates to the technical field of high polymer materials, and particularly discloses a nuclear-grade cable for spent fuel aftertreatment and a preparation method of the nuclear-grade cable. Comprising the following steps: S1, taking hydroxyl-containing cyclotriphosphazene, tetra (4-hydroxybenzene) ethylene, oleic acid acyl chloride, guar gum hydroxypropyl trimethyl ammonium chloride, triethylamine and a mixed solvent, cooling, dropwise adding triethylamine in a nitrogen atmosphere, dropwise adding a phenoxyphosphoryl dichloride solution, stirring for reaction, filtering, and performing rotary evaporation to obtain a composite flame retardant; s2, polyethylene, aluminum hydroxide, a composite flame retardant and an anti-radiation agent are added into an internal mixer for mixing, a cross-linking agent is added, uniform mixing, extrusion and granulation are performed, and a cable material is obtained; the cable material is used for preparing an outer sheath layer of a nuclear-grade cable. S3, twisting a plurality of copper metal monofilaments to form a conductor, wrapping the conductor with an insulating layer, and wrapping the conductor with a polyimide film to form a wire core; a plurality of wire cores are twisted to form a cable core; a non-woven fabric wrapping tape layer and an outer sheath layer are wrapped outside the cable core; and obtaining the nuclear-grade cable.

The invention relates to the technical field of surfactants for oil field oil extraction, in particular to a surfactant for oil field oil extraction and a preparation method thereof.The surfactant is prepared from, by weight, 15-20 parts of polymer surfactants, 8-12 parts of enhancing auxiliaries, 6-8 parts of temperature-sensitive microspheres and 80-90 parts of water, the problems that an existing surfactant for oil extraction in an oil field is insufficient in activity and poor in effect are solved by compounding a high-molecular surfactant, a reinforcing auxiliary agent containing a hyperbranched structure and temperature-sensitive microspheres loaded with microorganisms, and meanwhile, the surfactant has a certain temperature-sensitive characteristic and can play a role in the deep position of an oil layer to form a plugging and flooding composite effect; therefore, the crude oil recovery rate of surfactant flooding can be well improved.

The invention belongs to the technical field of computer storage, and particularly discloses a ZNS-SSD storage system-oriented garbage collection method, which comprises garbage collection taking segments as basic units, migration cost management process scheduling based on recovery segments, establishment of a recovery segment list group optimization data structure and a specific data migration mode. According to the method, different segments are accurately managed and operated in the garbage collection process, the garbage collection task is refined and embodied, the data are migrated to the target space through a parallel processing method, multiple data migration tasks can be carried out at the same time, and the garbage collection efficiency of the ZNS-SSD storage system is improved. According to the ZNS-SSD storage system, the resource consumption of the system for judging the migration mode of the segmented data is reduced by constructing the segmented chain table, and the response speed and the stability of the ZNS-SSD storage system are systematically and fundamentally improved on the basis of optimizing the data structure of the ZNS-SSD storage system.

The invention relates to the field of MEMS device packaging, in particular to a high-vacuum MEMS device packaging process, which comprises the following steps: after bonding of an MEMS device is completed, pre-fixing a getter into a tube shell, so that the getter is at least electrically connected with a pair of pins on the tube shell; configuring a power supply plugging assembly and an activation tool in the vacuum chamber; the vacuum degassing tube shell is assembled on the activation tool, the pair of pins, electrically connected with the getter, on the tube shell is electrically connected with the power supply plug-in assembly, the getter is electrified and activated through the power supply plug-in assembly, and compared with a traditional high-temperature heating mode for the whole packaging device, the whole packaging device can be prevented from being heated, and the packaging efficiency is improved. Getter activation and seam welding procedures are completed at a time, and a high vacuum environment and good sealing performance of a device in the packaging process are ensured.

The invention relates to a gallium nitride transistor based on a polycrystalline silicon field plate and a preparation method thereof, and belongs to the technical field of semiconductor devices. The transistor comprises a substrate, a GaN buffer layer, a GaN channel layer, an AlN insertion layer and an AlGaN barrier layer which are sequentially arranged from bottom to top, a P-GaN cap layer and a first passivation layer are arranged on the upper side of the AlGaN barrier layer, a gate metal field plate is arranged on the upper side of the P-GaN cap layer, a second passivation layer is arranged on the upper sides of the gate metal field plate and the first passivation layer, and the second passivation layer is arranged on the upper side of the second passivation layer. Two sides of the GaN buffer layer are respectively provided with source electrode metal and drain electrode metal, the first passivation layer and the second passivation layer are provided with grooves, the bottoms of the grooves penetrate through the AlGaN barrier layer, and polycrystalline silicon field plates are arranged on the upper side of the source electrode metal, the upper side of the second passivation layer and in the grooves. By introducing the polycrystalline silicon field plate, interface charges are inhibited, and the electrical performance of the device is remarkably improved.

The invention belongs to the technical field of high polymer materials, and particularly relates to a preparation method of a hydrophobic antifouling master batch for a plastic product. Aiming at the problem that the hydrophobic property endowed by a coating mode in the prior art is not stable enough, the invention provides the preparation method of the hydrophobic antifouling master batch for the plastic product, and the preparation method comprises the following steps: carrying out organic matter grafting modification on inorganic micro-nano powder with different particle sizes to obtain hydrophobic mixed powder; the preparation method comprises the following steps: adding 40-90 parts of carrier resin, 0-10 parts of a compatibilizer, 1-5 parts of a lubricant, 10-40 parts of hydrophobic mixed powder and 0.1-0.3 part of an antioxidant into a high-speed stirrer, and uniformly mixing; the preparation method comprises the following steps: carrying out melt blending by adopting one of a vacuum double-screw granulator, a single-screw internal mixer or a double-stage single-screw granulator, and then carrying out extrusion pelletizing, so as to obtain the hydrophobic antifouling master batch. Compared with a coating mode in the prior art, the hydrophobic antifouling master batch provided by the invention has the advantages that the hydrophobic property is more durable and stable, and the master batch is safe and environment-friendly.

The invention discloses an ETL task scheduling optimization method and system, equipment and a medium, and relates to the field of data processing. According to the method, an ETL task is divided into a plurality of execution stages, and pause time with preset duration is set between every two execution stages; executing the next execution stage of the current ETL task when the pause time is entered and the first resource currently usable by the platform is greater than or equal to the second resource required by the next execution stage of the current ETL task; when the first resource is smaller than the second resource, the current ETL task is converted into a pause state, a pause point is set, the current ETL task is added into a task waiting queue, and an ETL task with the priority higher than that of the current ETL task is executed or whether resource release exists or not is continuously monitored. By implementing the technical scheme provided by the invention, the ETL task can be reasonably scheduled when resources are insufficient, resource waste and task delay are avoided, and the execution efficiency of the ETL scheduling task is improved.

The invention relates to the technical field of rubber materials, and discloses a flame-retardant silicon carbide ceramic rubber material and a preparation method thereof. The flame-retardant silicon carbide ceramic rubber material is prepared by taking methyl vinyl silicone rubber as a main base material and adding MIL-100 (Fe, Co) coated CSiCNS, modified mica powder and other auxiliaries, not only has excellent high temperature resistance and corrosion resistance of silicone rubber, but also has excellent wear resistance of a ceramic material; wherein the MIL-100 (Fe, Co)-coated CSiCNS is prepared by taking a silicon carbide nanosheet as a substrate for modification, and is used as an inorganic flame-retardant component in the substrate, so that the flame-retardant property of the rubber material is improved; the modified mica powder serving as a ceramic forming filler not only endows the matrix with a certain flame retardant property, but also can be subjected to melting and eutectic reaction with the silicone rubber at high temperature to form a hard ceramic body, so that the flame retardant property of the matrix is further improved.

The invention discloses an airflow stirring device with a high-temperature sealing effect and a using method thereof. The airflow stirring device comprises a stirring container, a gas distributor arranged at the bottom of the stirring container, a driving stirring mechanism arranged on the stirring container and the gas distributor, and a multi-stage sealing assembly arranged on the gas distributor and the driving stirring assembly. The stirrer is matched with the gas distributor for use, the dispersion capacity is high, the circulation capacity is good, the problems of high-temperature caking and poor suspension effect of mixed materials are solved, the multi-stage sealing assembly is adopted, the sealing performance is enhanced, and the danger of explosion caused by sealing failure and gas leakage at the high temperature is prevented; the sealing reliability of the stirring device under severe working conditions such as high temperature is greatly improved, the possibility of explosion caused by gas leakage is reduced, the multi-stage cooling assembly is adopted, the temperature of a sealing part is reduced, downward heat transfer is reduced, and it is guaranteed that the device operates stably at the high temperature.

The invention relates to the technical field of data processing, in particular to a remote medical training system, which comprises a training module comprising a data transmission unit for transmitting medical training data from a database to a user terminal; the data processing module is connected with the training module and comprises a data synchronization unit used for synchronizing the medical training data and a data backup unit connected with the data synchronization unit and used for backing up the medical training data; the storage module is used for storing the medical training data, the simulation practice operation, the synchronized medical training data and the backed-up medical training data; and the control module is used for determining the capacity of the database connection pool according to the variance of the response duration for displaying the medical training data or determining the synchronization frequency of the medical training data according to the repetition proportion of the medical training data. The operation stability of the medical training system is improved.

The invention belongs to the technical field of plant cultivation and seedling raising, and particularly relates to a sand plant cultivation and seedling raising device which comprises a greenhouse body and a seedling raising bed, a U-shaped water receiving tank is fixedly mounted at the top of the outer side wall of the greenhouse body, and the bottom of the U-shaped water receiving tank is communicated with a water leakage pipe; a self-cleaning rainwater rough filtration mechanism is fixedly mounted on the outer side wall of the greenhouse main body, and a water and fertilizer integrated irrigation mechanism is fixedly arranged in the greenhouse main body; through an efficient rainwater collecting and filtering system and water and fertilizer integrated control, the utilization efficiency of water resources and fertilizers is improved, the self-cleaning function is achieved, blockage of a coarse filter screen is avoided, it is ensured that the rainwater collecting efficiency is stable, regular cleaning by personnel is not needed, and the labor cost is saved; extra energy consumption is not needed, the energy consumption is reduced, automatic mixing of the fertilizer and water can be realized, and the water and fertilizer integration efficiency is improved.

The invention provides an oil separator of an air compressor, and relates to the field of air compressors. The oil separator of the air compressor comprises a tank body, a second filtering mechanism is arranged in the center of the outer wall of the rear end of the tank body and comprises a positioning through groove, a sealing cover plate and a positioning clamping groove, a plurality of connecting rods are fixedly connected to the lower portion of the outer wall of the front end of the sealing cover plate, and a lower shell is fixedly connected to the outer walls of the front ends of the connecting rods. According to the invention, a metal filter screen arranged in the second filter mechanism can be detached and replaced, so that the number of the filter screens can be increased to enhance the filtering effect in an environment with higher oil gas content, and the number of the filter screens can be reduced to reduce the airflow resistance in a condition with lower oil gas content; therefore, the device can adjust the number of the metal net filter screens according to different working environments and use requirements, so that specific filtering requirements are met, and the application range of the device is widened.

The invention relates to the technical field of rubber, in particular to outer-layer rubber of an aging-resistant rubber dam and a preparation method of the outer-layer rubber, the outer-layer rubber is prepared from the following raw materials in parts by weight: 100 parts of chloroprene rubber (CR), 5 parts of zinc oxide (ZnO), 2.5 parts of an anti-aging agent, an anti-aging agent 4010, an anti-aging agent 4010NA, 2 parts of an accelerant and a combined system of an accelerant NA-22 and an accelerant TT (or DM), according to the anti-aging rubber dam outer layer rubber, the service life of a dam can be remarkably prolonged, and performance reduction and potential safety hazards caused by material aging are reduced. The outer-layer rubber has excellent weather resistance, chemical corrosion resistance and ultraviolet irradiation resistance, and can keep stable physical properties even in an extreme environment, so that safe and stable operation of the dam under various working conditions is ensured.

The invention relates to the technical field of obstacle crossing wheels, and discloses an obstacle crossing wheel and a wheel type inspection robot, the obstacle crossing wheel comprises a wheel axle, one end of the wheel axle is detachably connected with a hub, the outer wall of the hub is fixedly connected with three connecting rods arranged at equal intervals, the end, away from the hub, of each connecting rod is rotatably connected with a wheel plate, and the two ends of each wheel plate are connected in sequence; a connecting groove is formed in one side of the inner wall of the wheel plate, a positioning shaft is fixedly connected in the connecting groove, the connecting rod is rotationally connected with the positioning shaft, two connecting plates are fixedly connected to one end of the wheel plate, a connecting shaft is fixedly connected between the two connecting plates, and a deformation rod is rotationally connected to the outer wall of the connecting shaft. According to the obstacle crossing wheel and the wheel type inspection robot, the deformation function of the whole obstacle crossing wheel is achieved through mutual cooperation of the deformation track and the moving ball, and therefore the stable and efficient obstacle crossing capacity is provided for the robot, and the problems of noise, vibration, faults and the like caused by gear abrasion are avoided.

The invention discloses an intelligent sensor acquisition system, which relates to the technical field of sensor acquisition and is realized by adopting a data acquisition module, a data processing module, a comprehensive correction optimization module, a communication module and a sensitivity adjustment execution module. The environment data comprises data related to illumination and temperature collected by a sensor, the collected environment data is preprocessed through the data processing module, and the corrected illumination intensity value and the power demand value are calculated and output through the comprehensive correction optimization module. And inputting the corrected illumination intensity value and the power demand value into a sensitivity adjustment execution module, performing feedback adjustment of multiple times of calculation, outputting an adjusted photosensitive element sensitivity value, and changing and influencing the corrected illumination intensity value and the power demand value and subsequent measurement values based on the feedback adjustment of the photosensitive element sensitivity value. And the collected and calculated data are displayed through the communication module.