5351results about How to "Avoid safety hazards" patented technology

The invention discloses an equipment fault intelligent question-answering method and system based on knowledge graph enhancement. The method comprises the following steps: constructing a knowledge graph of a professional field; developing a natural language processing module; designing an enhanced generation model; designing an interactive question and answer interface; the system comprises a user interaction layer, a language understanding processing layer, a knowledge graph query reasoning layer, a question and answer generation layer and a data storage management layer. Through the natural language processing technology, the system can quickly understand the query intention of a user, and the manual information input and interpretation time in traditional fault diagnosis is shortened, so that the overall fault response speed is increased; the large language model has deep learning and generalization capabilities, various complex and unknown fault conditions can be processed, accurate diagnosis and operation suggestions are provided, and the potential capability of the system for processing new fault types is enhanced.

The invention provides a building construction potential safety hazard management method and system, and relates to the technical field of construction safety management, and the method comprises the steps: dividing a plurality of sub-regions, collecting data, classifying known potential safety hazard events, and obtaining a first classification; through comparative analysis of the reference features and the contrast features, corresponding data features and fusion features are selected, and risk assessment models of the first classification are established respectively; obtaining a first risk probability and a comprehensive risk index of each sub-region according to real-time monitoring data and the risk assessment model; according to the first risk probability, the comprehensive risk index and / or the risk change, performing early warning on the sub-region; according to an early warning processing result and field feedback; adjusting an early warning threshold value and / or optimizing the risk assessment model; real-time monitoring, early warning and management of potential safety hazards of the construction site are achieved, the efficiency and accuracy of potential safety hazard management can be improved, the labor cost can be reduced, and the safety level of the construction site can be improved.

The invention provides a lithium battery anomaly detection method and system based on deep learning, and relates to the technical field of data processing, and the method comprises the steps: obtaining an original data set of a lithium battery in a plurality of working states; performing multi-layer preprocessing on the original data set to obtain a basic data set; performing step-by-step feature extraction on the basic data set to obtain a feature data set; dividing the characteristic data set into a charging state data set, a discharging state data set and a static working state data set according to the working state of the battery; obtaining a decomposition data set according to the state data set; constructing a multi-dimensional state model of the lithium battery, and inputting the decomposition data set into the multi-dimensional state model to obtain a matching result set; performing comprehensive analysis according to the matching result set, and generating anomaly discrimination data; according to the anomaly discrimination data, analyzing detection information representing an anomaly position and severity, and generating anomaly identification information; the method has a good anomaly detection effect.

The invention provides a sensitive data identification protection method and system based on intelligent matching, and relates to the technical field of data processing, and the method comprises the steps: carrying out the semantic analysis of sensitive data through a natural language processing model, and constructing a multi-level knowledge graph; performing node coding and relation intensity calculation by using a graph neural network and an attention mechanism; a graph structure importance degree evaluation algorithm is adopted to calculate node sensitivity weights and grade the node sensitivity weights; and applying a corresponding data protection scheme according to the sensitivity level, and identifying associated nodes through a graph traversal algorithm to perform hierarchical protection. According to the method, intelligent identification, accurate grading and comprehensive protection of sensitive data are realized, and the data security is improved.

The invention relates to the technical field of space positioning and path planning, in particular to a three-dimensional space positioning and path planning method for an unmanned aerial vehicle tower. The method comprises the following steps of performing accurate longitude and latitude height data acquisition based on a laser range finder to generate accurate longitude and latitude height data; obtaining tower equipment parameters; performing inspection point three-dimensional coordinate calculation according to the tower equipment parameters and the tower three-dimensional coordinate system to generate inspection point three-dimensional coordinate data; cruise point comprehensive constraint range data are obtained according to the unmanned aerial vehicle flight association data and the polling area terrain data, and cruise point comprehensive constraint range data are generated; performing cruise node three-dimensional coordinate design on the three-dimensional coordinate data of the inspection point according to the cruise point comprehensive constraint range data to generate cruise point three-dimensional coordinate data; and performing optimized cruise path planning processing according to the cruise point three-dimensional coordinate data to generate optimized cruise path data. According to the invention, more accurate unmanned aerial vehicle tower space positioning and path planning are realized.

The invention relates to the technical field of computer storage, in particular to an encryption method and related equipment. The encryption method comprises the following steps: generating a unique device identifier through a polymorphic ring structure, wherein the unique device identifier is used for generating a unique identifier and a key of the solid-state storage device; based on the generated device identifier, a multi-dimensional dynamic key is generated in combination with a multi-dimensional mixed function and is used for data encryption; and encrypting the segmented data by using a multi-dimensional dynamic key, and embedding a progressive vector check code into each data segment to enhance the security of the data segment level. According to the method, the defects of the existing solid-state storage equipment encryption technology in the aspects of key management, encryption mechanism, key irreversibility, real-time monitoring and the like are overcome, and all-around guarantee is provided for data storage security.

The invention provides a ship lock floating bollard embedded part supporting device and a construction method thereof.The ship lock floating bollard embedded part supporting device comprises symmetrically-arranged pre-embedded formworks, guide grooves are formed in the inward opposite sides of the pre-embedded formworks, arc parts are arranged on one sides of the guide grooves, formwork outer edges are arranged on the outer sides of the arc parts, and a detachable supporting tool is arranged between the guide grooves; the supporting tool comprises a tool support, the tool support comprises a main body part, a tightening part is arranged on one side of the main body part, an inner blocking assembly is arranged on the other side of the main body part, a plurality of telescopic tensioning assemblies are arranged on one side of the tightening part, and a plurality of telescopic supporting block frames are symmetrically arranged on the two sides of the main body part. According to the supporting device for the ship lock floating bollard embedded part, safety and controllability of the construction process are achieved through automatic supporting force adjustment and a remote monitoring system, potential safety hazards caused by frequent manual intervention are avoided, the working efficiency is improved, and the problem that a traditional supporting device for the ship lock floating bollard embedded part needs manual adjustment and demolding is solved.

The invention relates to the technical field of fuel gas safety, and discloses an intelligent fuel gas safety valve and a method for intelligently opening and closing the safety valve, and the intelligent fuel gas safety valve comprises a sensor unit which is configured to be installed near a fuel gas pipeline or fuel gas equipment; the control unit is in communication connection with the sensor unit; the execution unit is in communication connection with the control unit; the communication unit is in communication connection with the control unit; and the standby power supply is used for providing emergency power for the intelligent gas safety valve when the main power supply fails or is powered off. The concentration, the pressure, the temperature and the flow of the fuel gas are monitored in real time through the sensor unit, the system can quickly send out an instruction for closing the valve when detecting abnormal conditions (such as gas leakage and too high or too low pressure), and accidents such as fire disasters or explosions caused by fuel gas leakage are effectively prevented. The system monitors a plurality of key parameters of the gas system through a plurality of sensors in a combined mode, and a multi-level safety guarantee mechanism is formed.

The invention relates to a stem cell bioactive nano-vesicle with efficient inflammation regulation and tissue repair effects, the average particle size of the nano-vesicle is 100-350nm, the polydispersity index (PDI) is 0.05-0.40, and the expression rate of phosphatidylserine (PS) on the surface of the nano-vesicle is greater than 40%. According to the preparation method, stem cells are subjected to apoptosis induction, and then a programmed serial extrusion process is adopted to prepare the nano-vesicles. The nano vesicles are moderate in particle size, uniform in distribution and high in production efficiency, the preparation process is easy to operate, the quality is stable and controllable, and the nano vesicles have excellent technical effects in the aspects of repair and regeneration of inflammation injury type tissues and organs.

The invention discloses an intelligent hydrogen production system and method.The intelligent hydrogen production system comprises a water supply device, a hydrogen production device, a purification device, a hydrogen conveying device, a pressure relief device, a system monitoring unit and a system control unit.The liquid level of a water tank is detected through a first liquid level meter, and the temperature of pure water of the water tank is detected through a first temperature sensor; the conductivity of water treated by the water machine is detected through the first conductivity meter so as to judge the purity degree of the water, the conductivity of electrolyzed water entering the electrolytic bath is detected through the second conductivity meter, the temperature of the electrolyzed water in the electrolytic bath is detected through the second temperature sensor, and it is guaranteed that the water quality and the water temperature in the electrolytic bath meet the electrolysis requirement. The liquid level of separated water in the water-vapor separator is detected through the second liquid level meter, the dew-point temperature of hydrogen is detected through the dew-point meter, and the actual output flow of hydrogen flowing through the hydrogen outlet is detected through the flow meter. The water temperature, the water level, the hydrogen flow, the conductivity and the like can be monitored, safe and efficient operation of equipment is ensured, and potential safety hazards are prevented.

The invention relates to a multi-channel data cross validation payment method, system and device and a medium, and the method comprises the steps: carrying out the analysis and reading of multi-channel payment data, and obtaining payment system data, user data, transaction data and payment scene information; performing identity pre-verification analysis on the user data to obtain corresponding identity verification data, and performing multi-factor authentication analysis on the user data based on the payment scene information to obtain multi-factor authentication data; performing association analysis on the payment system data according to the multi-factor authentication data to obtain corresponding verification payment system data; performing risk assessment analysis on the payment system data to obtain corresponding comprehensive risk data, and performing cross validation analysis on the comprehensive risk data based on the verification payment system data to obtain corresponding cross validation data; and comprehensively analyzing all the initial security policies to obtain a dynamic security policy. According to the invention, dynamic adjustment can be carried out according to the change of the real-time payment environment.

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention discloses a VOC gas leakage intelligent inspection system and method based on gas cloud imaging, and belongs to the technical field of VOC gas leakage detection. The inspection system comprises a moving track and an inspection point which are arranged along a monitored object, an intelligent sliding rail type robot which moves along the moving track, and a data processing system. The intelligent sliding rail type robot is provided with a gas cloud imaging host, and the gas cloud imaging host is provided with a medium wave infrared machine core, a visible light machine core and a wireless communication module. The intelligent slide rail type robot moves to each inspection point along the moving track, and the gas cloud imaging host shoots infrared images and visible light images of each inspection point and transmits the infrared images and the visible light images to the data processing system through the wireless communication module. According to the invention, a specific leakage point can be timely and accurately locked, the VOC leakage concentration can be determined, and full-process intelligent inspection from inspection, leakage detection processing, leakage accident archiving, leakage early warning, leakage accident processing to processing result feedback can be realized.

The invention relates to the field of hybrid energy storage, in particular to a movable hybrid energy storage device which is applied to an energy storage power supply and comprises a movable frame and an energy storage cabinet body, universal wheels with brake pads are arranged at the bottom of the movable frame, and the energy storage cabinet body is provided with an anti-disengaging assembly used for automatically fixing a plug after the plug is connected with a socket in an inserted mode. The anti-disengaging assembly comprises a guiding bin body, clamping pieces arranged on the periphery of the guiding bin body and a triggering piece which is arranged in the guiding bin body and can synchronously push all the clamping pieces inwards, and the guiding bin body is further provided with a triggering driver which is matched with the triggering piece and pushes all the clamping pieces inwards. Through the linkage of the trigger piece and the clamping piece, the trigger driver is automatically activated when the energy storage power supply is turned on, so that the trigger piece is driven to push the clamping piece, the edge of the plug is limited between the clamping piece and the socket, and the power failure risk caused by loosening or falling of the plug is avoided.

The invention, which relates to the technical field of coal mine transportation scheduling, discloses a coal mine intelligent transportation scheduling optimization system comprising a map construction module, a data acquisition module, a communication module, a monitoring module, an intelligent scheduling module, an emergency processing module and a man-machine interaction module. The system has the advantages that the operation states of coal mine collection equipment and transportation equipment are monitored in real time through the equipment monitoring unit and the environment monitoring unit, the environment state of a mining area is comprehensively monitored, equipment abnormity and environment risks can be found and early warned in time, safety accidents are prevented, and the system is safe and reliable. The service life prediction unit can predict the residual service life of the equipment by monitoring and analyzing the operation time and the accumulated workload of the equipment, and gives out early warning when the equipment is close to the end point of the service life, so that potential safety hazards caused by equipment aging are avoided, and the safety of coal mine transportation is improved.

The invention relates to the technical field of photovoltaic modules, in particular to a photovoltaic module control method and device. The method comprises the following steps: obtaining an installation position according to design data of the photovoltaic module, carrying out illumination intensity change measurement, and further evaluating the luminous flux change of the photovoltaic module; on the basis of the luminous flux change data, calculating the generating capacity fluctuation of the photovoltaic module, further performing power quality attenuation evaluation, and extracting power grid transmission voltage fluctuation data; according to the power grid voltage fluctuation and power quality attenuation data, the battery overcharge condition and the battery life attenuation are evaluated, the battery capacity attenuation is further calculated, and the photovoltaic module system efficiency attenuation is evaluated; by analyzing system efficiency attenuation data, photovoltaic module degradation risk early warning is carried out, and risk early warning information is fed back to the terminal in real time; according to the invention, through early warning of power generation of the photovoltaic module, the deterioration prediction of the photovoltaic module is more accurate.

The invention discloses a 5G communication data transmission management system, which relates to the technical field of communication data transmission and comprises a real-time resource monitoring module, an intelligent evaluation module, a feature extraction module, a transmission process division module, a normal transmission management module and an overload transmission regulation and control module, through a deployed network monitoring tool and performance monitoring software, the resource occupation condition in the video monitoring data transmission process is monitored in real time. According to the invention, the system intelligently evaluates the resource occupation condition through real-time monitoring and a machine learning model, and dynamically regulates and controls the resources, reduces the delay, accelerates the analysis speed and guarantees the emergency response in the case of high load by using the queue expansion index, the link fluctuation index and the queue theory model. Through transmission process division, efficient management in a normal stage and dynamic optimization in an overload stage are realized, timely response and resource release are ensured, waste is avoided, and the stability and efficiency of the system under various loads are improved.

The invention discloses hardware pipe welding equipment with high safety performance in the technical field of hardware pipe welding, which comprises a supporting unit comprising a base positioned at the bottom, two groups of supporting parts symmetrically arranged on two sides above the base, and threaded shafts correspondingly inserted in the center positions of the supporting parts in the vertical direction, the first driving motor is arranged on one side of the lower portion of the base, the workbench is arranged above the base in parallel, and the upper ends of the two sets of supporting components both penetrate through the workbench and extend upwards. A to-be-welded hardware pipe is stably clamped and fixed through the clamping unit, potential safety hazards existing in a hand holding mode are avoided, the safety performance of the device is improved, the clamping range can be correspondingly adjusted according to the use requirement, and the practicability is high. And the device can meet the working requirement for limiting and clamping hardware pipes of different sizes and specifications, the application range of the device is widened, and the use flexibility of the device is remarkably improved.

The invention belongs to the technical field of building construction safety management, and provides a construction safety early warning method and system based on mixed reality, and the method comprises the steps: converting the longitude and latitude of geographic coordinate system data into plane coordinates, and converting the plane coordinates into a local coordinate system of a spatial mapping grid formed by simultaneous positioning and a map construction technology; through coordinate transformation, geographic coordinate system data can be accurately mapped into a model space coordinate system of the mixed reality equipment, the limitation that external high-precision positioning data are difficult to integrate in a traditional mixed reality technology is broken through, and high-precision equipment positioning is realized; meanwhile, an initial weight value is distributed to each grid unit in the space mapping grid, the weight is dynamically adjusted to change the size of the grid, dynamic management of space mapping grid data is achieved, detailed real space mapping grid data can be reserved after initial alignment is carried out through the space mapping capacity of mixed reality equipment, and the space mapping capacity of the mixed reality equipment is improved. And a data basis is provided for subsequent dynamic collision detection.

The invention belongs to the technical field of preparation of electrode materials, and particularly relates to a high-tap-density spherical ferric sodium pyrophosphate electrode material and a preparation method thereof. According to the preparation method, a uniform precursor is prepared by utilizing solution gel, and a strategy of combining spray drying with secondary sintering is adopted, so that uniform carbon coating and doping modification of ferric sodium pyrophosphate can be successfully realized, and the strategy provides an important experimental basis for an industrialization process of a sodium ion battery. And the method has great potential of large-scale preparation.

The invention provides an automatic forming device for offshore wind power flange production and a method thereof, and relates to the field of wind power flange production.The automatic forming device comprises an outer shell, a left base, a right base, a placement table, a forging mechanism and a ring rolling mechanism, and the left base and the right base are arranged on the two sides of the inner wall of the bottom of the outer shell correspondingly; a placing table is arranged between the left base and the right base, four sets of positioning mechanisms are distributed on the outer side of the placing table in an annular array mode with the center line of the placing table as the center, and a frame-shaped collecting groove is formed in the outer side of each positioning mechanism; the forging mechanism and the ring rolling mechanism are installed in the same outer shell at the same time, forging and ring rolling are integrally designed, ring rolling work is directly carried out after forging is completed, transferring is not needed, convenience is achieved, meanwhile, the position relation between the forging mechanism and the ring rolling mechanism is fully considered, it is guaranteed that the forging mechanism and the ring rolling mechanism do not conflict in work, and the machining efficiency is improved. And the middle transportation process is reduced, so that the forming rate of the material blank is increased.

The invention relates to the technical field of information security, in particular to a database tamper-proofing method and system based on a trusted computing environment, and the method comprises the steps: S1, receiving data transmitted into the database by adopting a security protocol communication TLS, carrying out the preliminary verification and cleaning of the data, generating a verification key through a trusted computing module TPM, and storing the verification key in a secure storage area of the trusted computing module; s2, loading the verified data into a feasible computing environment TEE to generate an encryption key, and storing the encryption key in an internal storage area of the feasible computing environment TEE; s3, performing integrity verification on the encrypted data in the feasible computing environment TEE; and S4, leaving the checked data from the feasible computing environment TEE through the security protocol communication TLS, and transmitting the checked data to a tamper-proof database for storage. The data processing and storage operation is executed in the trusted computing environment, the integrity and non-tampering property of the operation record are ensured by using the tampering-proof database, and the credibility and safety of the whole data processing and storage system are improved in a combined mode.

The invention relates to a fault prediction method for a mining high-voltage power distribution device. Temperature, current, voltage and gas leakage sensors are installed in the mining high-voltage power distribution device; integrating the multi-dimensional data by using a multi-sensor data fusion algorithm to form a real-time operation portrait of the power distribution device; extracting time sequence characteristics of temperature and voltage key variables by combining an operation rule of the high-voltage power distribution device; capturing abnormal fluctuation of the key characteristic parameters by using a sequence analysis model, and identifying a specific fault type in the high-voltage environment; constructing a feature mode database based on a time sequence, and matching new data with a historical fault mode; applying a feature selection algorithm to extract representative fault prediction features from the sensor data; establishing a fault prediction risk level model according to the hazard degrees of different fault modes; based on the fault risk level predicted in real time, an optimized self-adaptive maintenance scheme is generated, and the maintenance period and strategy are dynamically adjusted in combination with the actual operation state of the equipment.

The invention relates to the technical field of NK cell culture, and discloses a serum-free medium for NK cells from umbilical cord blood after cryopreservation and a culture method thereof.The medium comprises a coating solution, an induction medium and an amplification medium; wherein the coating liquid is prepared from an anti-CD16 monoclonal antibody and DPBS (diphenylphosphonic acid); the induction culture medium comprises a basic culture medium, a human-derived platelet lysate and cell factors IL-15, IL-18 and IL-21; the amplification culture medium comprises a basic culture medium, a human-derived platelet lysate and IL-2. The culture method comprises the following steps: obtaining mononuclear cells from fresh umbilical cord blood, and then cryopreserving and resuscitating; and carrying out multiplication culture on the recovered umbilical cord blood mononuclear cells by using the serum-free culture medium. According to the NK cell culture medium, the NK cells with high purity, high killing activity and high cytotoxic activity can be obtained without autoserum culture.

A thin-wall annular part zero-point quick-change tool with cutting waste liquid collecting and discharging functions belongs to the technical field of aero-engine part manufacturing and comprises a zero-point quick-change tool mother disc, a zero-point quick-change tool son disc, a pneumatic blind rivet locking and positioning mechanism, a guide positioning pin mechanism, a thin-wall annular part clamp and a cutting waste liquid collecting and discharging assembly. According to the zero-point quick-change tool for the thin-wall annular part, cutting waste liquid can be efficiently discharged in the machining process of the thin-wall annular part, meanwhile, cutting impurities are filtered, and the reliability and stability of cutting waste liquid discharging are guaranteed; in the transferring process of the thin-wall annular part, the cutting waste liquid can be automatically sealed and stored, the cutting waste liquid is prevented from dripping on a mechanical arm or other transferring equipment of an automatic production line, the frequency and difficulty of equipment cleaning and maintenance are reduced, the production time occupancy rate of equipment cleaning and maintenance is further reduced, and the production efficiency is further improved. Meanwhile, potential safety hazards caused by the fact that cutting waste liquid drips on equipment are avoided.

A water leakage monitoring method for a digital twinning system of a coal mine shaft comprises the steps that an RFID antenna and a Twinin-Tag sensor are installed on the wall of the shaft, a monitoring terminal is arranged on the ground, and an RFID reader is arranged at an outlet of the shaft; a shaft monitoring signal is collected in real time through a Twindow-Tag sensor, the shaft monitoring signal is read through an RFID reader, and then shaft monitoring data are obtained by analyzing and processing the shaft monitoring signal; collecting RSSI reading and phase data by using a short time window, and performing state identification by using a decision tree; carrying out coarse segmentation and fine segmentation on the leakage signal, and determining the location of a water leakage point in combination with a change point detection algorithm; and the leakage volume and the leakage rate are estimated. According to the method, the water leakage point can be accurately positioned, the volume and flow velocity information of the leaked water in the shaft can be obtained, so that a reliable basis is provided for subsequent maintenance decision making, and the method is suitable for long-term monitoring operation of the coal mine shaft.

The invention relates to the technical field of electrical operation safety management, in particular to an artificial intelligence-based electrical operation misoperation prediction and correction system, which comprises a data acquisition module, a data processing module, a misoperation prediction module, a correction suggestion generation module, a real-time monitoring and feedback module, a self-learning module and a data storage module, operation data and environment data are collected in real time through a sensor network, the data are preprocessed, feature vectors are generated, a misoperation prediction model is constructed based on a long short-term memory network algorithm, the misoperation occurrence probability is predicted, a decision tree algorithm is adopted to generate correction suggestions, and prediction results and the correction suggestions are presented through a human-computer interaction interface. The self-learning module is used for dynamically optimizing the prediction model and the suggestion generation model; the data storage module is used for classifying and storing the operation data, the environment data and the prediction result; according to the invention, the misoperation is accurately predicted in real time, the intelligent correction suggestion is generated, and the safety and efficiency of electrical operation are remarkably improved.

The invention discloses an intelligent monitoring method for deformation of a wharf equipment track, relates to the technical field of track deformation monitoring, and aims to realize high-precision monitoring of the deformation state of the wharf equipment track. A more reliable track deformation prediction mean value at the current moment is obtained in a scoring and weighting mode, a high-precision standard is provided for follow-up calculation and analysis, and then a track deformation residual value at the current moment is obtained by comparing the difference between the prediction mean value and an actual measurement value. And then the track deformation residual value at the current moment is identified in a double-threshold form, so that the track deformation abnormal point at the current moment can be identified more effectively and accurately, thereby providing a good precedence condition for triggering a subsequent alarm mechanism, ensuring that a misjudgment phenomenon does not occur, and improving the accuracy of track deformation detection. Therefore, on the premise of effectively improving scientificity and accuracy of data utilization, potential safety hazards are effectively prevented, and smooth operation and personnel safety are guaranteed.

The invention relates to the technical field of valves, and discloses an ultralow-temperature LNG top-mounted hard sealing floating ball valve which comprises a valve body, a valve rod and a valve ball arranged in the valve body, a mounting seat is arranged at the top of the valve body, the valve rod penetrates through the mounting seat, an adjusting seat is fixedly mounted at the bottom end of the valve rod, a mounting cavity is formed in the inner side of the valve body, and the valve ball is arranged in the mounting cavity. The valve ball is movably arranged in the mounting cavity, a sliding groove is formed in the top end of the valve ball, and the adjusting seat is slidably arranged in the sliding groove; through the arrangement of the adjusting assembly, when the valve is opened, the adjusting assembly can drive the adjusting block to move, so that the adjusting block pushes the valve ball to move in the direction away from the valve seat, the valve ball is separated from the valve seat, the valve ball does not make contact with the valve seat when starting to rotate, and the friction force generated when the valve ball rotates is reduced; and relative friction between the valve ball and the valve seat is avoided, so that abrasion between the valve seat and the valve ball is reduced, and the service life of the valve ball and the service life of the valve seat are remarkably prolonged.

The invention provides a key dynamic management method and system, and the method comprises the steps: responding to a communication request sent by a vehicle end, and carrying out the validity verification of a vehicle end certificate through a public key of an intermediate certificate authority; after the verification is passed, according to the current network quality parameter and the communication data sensitivity level, determining the target length of the secret key according to a secret key length modulation strategy; and deriving a shared key with a target length through an encryption algorithm by using the vehicle end public key and the cloud end private key, and sending the shared key and the cloud end certificate to the vehicle end. Therefore, the shared key is dynamically adjusted according to the network quality parameter and the communication data sensitivity level, so that the security and efficiency of data transmission can be effectively ensured, and the management complexity is reduced.