252 results about "Industrial technology" patented technology

In example embodiments, an industrial technology stack for an industrial environment includes a set of computational resources and a set of layers executed by the set of computational resources, the set of layers including a governance layer, an enterprise layer, an offering layer, a transaction layer, an operations layer, a network layer, a data layer, and a resource layer. In example embodiments, the industrial technology stack may include one or more artificial intelligence models for implementing one or more components of one or more layers of the set of layers.

The invention discloses a supercritical carbon dioxide energy storage system and method based on porous liquid absorption and storage, and belongs to the technical field of energy storage industry. Comprising a low-pressure storage system for storing low-pressure carbon dioxide; the compression energy storage system is used for compressing the carbon dioxide energy storage working medium; the high-pressure storage system is used for obtaining and storing high-pressure supercritical carbon dioxide; the expansion energy release system is used for high-pressure supercritical expansion energy release and pushing a power generator to generate power; and the heat circulation system exchanges heat with and circulates heat with the compression energy storage system and the expansion energy release system. A porous liquid absorbent is adopted. Permanent gaps for containing carbon dioxide can be provided, the problem of a carbon dioxide low-pressure storage end can be solved, and the system investment cost is greatly reduced. High-density storage of the low-voltage end of carbon dioxide is achieved through a chemical absorption method, the supercritical carbon dioxide compression energy storage system stores excess electric quantity generated by the renewable energy system, expansion power generation is carried out in the power utilization peak, and the peak regulation capacity of a power grid is improved.

The invention discloses a fatigue life simulation evaluation method for a lightweight aluminum alloy material of a new energy automobile, and relates to the technical field of material life evaluation. A microstructure image is collected, coupling features are extracted through machine learning, and heterogeneous data fusion and enhancement are completed; generating a topological optimization structure based on a GAN, introducing a VPSC model to describe anisotropy according to a stress gradient dynamic grid, and constructing a dynamic finite element model; fusing vehicle driving data, predicting a load by using LSTM, performing VMD decomposition and environment correction, and realizing space-time correlation load spectrum reconstruction; a phase field model is used in a microcosmic mode, cracks are tracked in a macroscopic mode through XFEM, damage parameters are transmitted in a bidirectional coupling mode, and multi-physics field coupling simulation is carried out; fusing simulation and test data by adopting Bayesian reasoning, calculating life probability distribution, and correcting parameters when errors exceed the limit; according to the method, the fatigue life prediction error is finally reduced, the time consumption of single simulation is reduced, full-life-cycle evaluation and visual early warning are realized, an efficient scheme is provided for lightweight design, and industrial technology upgrading is promoted.

The invention provides an analysis method and system fusing a large model and a knowledge graph technology, and relates to the field of deep learning, and the method comprises the steps: firstly extracting the text content of an industrial technology related original file from a patent database, an academic literature library and a policy file, and constructing an industrial technology knowledge graph according to the text content; then, relevant information nodes are positioned through an industrial technology knowledge graph to extract industrial technology query matching content, significant semantic interaction analysis is carried out by utilizing a large language model, and then a question answer text matched with user consultation is generated by utilizing an intelligent answer robot based on the large language model; therefore, semantic interaction analysis and automatic answer generation are carried out on industrial technology related files and user consultation questions, more personalized and comprehensive question answering texts related to industrial technology analysis are provided for different user consultation questions, and the performance of a question answering system is improved.

The invention discloses a coal-fired power generation unit operation optimization method and system based on industrial big data, and relates to the technical field of industries. A starting priority analysis module dynamically adjusts a unit starting sequence and obtains unit starting priorities by analyzing real-time data sets and power grid load requirements; the system can quickly judge the starting sequence of the units according to the numerical values and effectively recognize the units with possible fault risks, and the fault recognition module performs fault assessment on the unit operation state and equipment state data in combination with the real-time data set and the historical data set and calculates the current fault assessment index. Through comprehensive analysis of a historical trend and a real-time state, the system can accurately judge whether maintenance operation needs to be carried out on a unit or not, so that early prediction and timely intervention of potential faults are realized, an effect feedback and optimization module evaluates feedback data of an actual operation effect, constructs a performance feedback index, and improves the maintenance efficiency of the unit. And dynamic adjustment and optimization of unit load distribution are realized.

Proposed is a calibration method for a camera and a lidar using a calibration board having a specific pattern. The method may include extracting one frame for an image captured by a camera and point cloud data acquired by a lidar, by a data generator, identifying a feature point for a calibration board included in one extracted frame for the image and the lidar, by the data generator, and performing calibration for the camera and the lidar based on the identified feature point, by the data generator. The present method is a technology developed with support from the Ministry of Trade, Industry and Energy / Korea Planning and Evaluation Institute of Industrial Technology (Project No. 20022003 / Project name-Automotive industry technology development project / Project name-Development of industrial autonomous driving and safety assurance technology based on longitudinal and lateral interconnection).

Proposed is a visual mapping method for generating a feature map by mapping a feature point of an image captured by a camera to point cloud data acquired by a lidar. The method may include generating a first feature map based on point cloud data obtained from a lidar and an image captured from a camera, by a data generator, and generating a third feature map by mapping the first feature map on a second feature map generated through pre-stored point cloud data, by the data generator. The present method is a technology developed with support from the Ministry of Trade, Industry and Energy / Korea Planning and Evaluation Institute of Industrial Technology (Project No. 201792 / Business name-Excellent enterprise research center promotion project (ATC+) / Project name-Development of real-time risk detection and mapping solution based on 3D scanning technology to ensure safety in autonomous driving).

The invention relates to the technical field of textile industry, and discloses a textile production equipment recommendation scheduling method, which comprises the following steps: S1, extracting production process information: before scheduling, firstly extracting process information of a product to be produced from an order system; s2, obtaining candidate equipment information: after the production process information is obtained, extracting detailed information of all available equipment from an equipment management system; s3, judging a forced constraint condition; s4, multi-dimensional matching of priority conditions is carried out; s5, calculating the matching degree of the raw materials; s6, matching the opening value of the equipment; s7, scheduling optimization is carried out; and S8, generating a scheduling scheme. Through fine matching of process parameters and equipment parameters, the selected equipment can be ensured to be most suitable for the current production task, the equipment adjustment time and the production preparation time are reduced, so that the production efficiency is improved, the use of the equipment can be reasonably arranged, the downtime caused by frequent switching of the equipment or the process is reduced, and the production efficiency is improved. The continuous production capacity is improved.

Proposed is a calibration method for a camera and a lidar using a calibration board having a specific pattern. The method may include extracting one frame for an image captured by a camera and point cloud data acquired by a lidar, by a data generator, identifying a feature point for a calibration board included in one extracted frame for the image and the lidar, by the data generator, and performing calibration for the camera and the lidar based on the identified feature point, by the data generator. The present method is a technology developed with support from the Ministry of Trade, Industry and Energy / Korea Planning and Evaluation Institute of Industrial Technology (Project No. 20022003 / Project name-Automotive industry technology development project / Project name-Development of industrial autonomous driving and safety assurance technology based on longitudinal and lateral interconnection).

The invention discloses a water surface multi-view visual cooperative detection system based on an unmanned ship cluster, relates to the technical field of industry, and aims to solve the problems that the unmanned ship cluster is poor in identification precision, response speed and system robustness; the system comprises a sensing system, a data processing system, a communication system and a shore-based control system, and is characterized in that the sensing system, the data processing system, the communication system and the shore-based control system are connected with the shore-based control system; the sensing system obtains information such as the position, the speed and the posture of a target through the hyperopia camera and the RTK positioning and inertial navigation system and transmits the information to the data processing system in real time. The method has the advantages that the target recognition precision, the response speed and the robustness of the system can be improved, the target detection efficiency in the water surface environment is low, and the requirement for efficient and accurate target detection and tracking in the water surface environment is met.

The invention provides a process method and system for directly capturing carbon dioxide from air and converting and utilizing the carbon dioxide. The process method comprises the following steps: adsorbing raw material gas through a carbon dioxide trapping device, and heating and desorbing to obtain purified carbon dioxide gas; the purified carbon dioxide gas and the electrolyte are subjected to electrocatalytic conversion to obtain synthesis gas, oxygen and condensate water, and the condensate water is recycled through water treatment operation to be used for supplementing the electrolyte; the method comprises the following steps: carrying out Fischer-Tropsch synthesis reaction, hydrocracking and isomerization reaction on synthesis gas to obtain an isomerized oil-gas mixture, wherein heat energy generated by the reaction provides heating desorption heat; and carrying out gas-liquid separation on the heterogeneous oil-gas mixture to obtain combustible gas and an upgraded oil product, carrying out rectification operation on the upgraded oil product to obtain an SAF component and a heavy oil product, and carrying out oxygen-enriched combustion reaction on the combustible gas and oxygen to provide heating desorption heat or supply required heat energy. An integrated and flexible industrial technology platform is developed, carbon capture and conversion processes are seamlessly connected, full-chain optimization from CO2 removal to high-added-value product generation is realized, and self heat energy requirements and wastewater utilization can be met.

The invention discloses an industrial innovation question and answer method and system fusing a knowledge graph and a large model, relates to the field of natural language processing in artificial intelligence, and solves the problems that existing industrial innovation data is dispersed, so that the utilization rate is low, and accurate decisions cannot be made due to single dependence on a large model lacking knowledge in related fields. According to the method, industrial innovation data combining patent information, academic literature and policy systems and an innovation field knowledge graph are collected, the preprocessed industrial innovation data are converted into a question and answer data set in a question and answer pair format, a sub-graph extraction model is constructed, and a large model is enhanced by utilizing the knowledge graph; and industrial trend analysis and industrial report generation are realized. According to the method, industrial innovation data are efficiently integrated and utilized, the accuracy of functions of the large model for innovation technology insight, industrial trend analysis, industrial report generation and the like is improved, and industrial technology innovation is more accurately assisted.

A building modeling method may include separating, by a data generating device, a point cloud corresponding to a ground and a point cloud corresponding to a non-ground from aerial point cloud data acquired from a LiDAR mounted on a flight device, classifying, by the data generating device, a point cloud corresponding to a roof of a building among the point clouds corresponding to the non-ground, and modeling, by the data generating device, the building based on the classified point cloud. The present method is technology developed with the support of the Ministry of Trade, Industry and Energy / Korea Planning & Evaluation Institute of Industrial Technology (Task No. 20022003 / Project Name-Automotive Industry Technology Development Project / Task Name-Development of industrial autonomous driving and stability securing technology based on vertical and horizontal linkage).

The utility model belongs to the technical field of rubber industry, and particularly relates to a rubber calendering device which comprises a supporting support, supporting legs are fixedly installed at the four ends of the bottom of the supporting support, and a calendering device body is fixedly installed at one end of the top of the supporting support. First calendaring rollers and second calendaring rollers are rotationally mounted at the upper end and the lower end of the inner wall of the calendaring device body correspondingly, and the exteriors of one ends of the multiple first calendaring rollers and the multiple exteriors of one ends of the multiple second calendaring rollers are rotationally mounted on one side of the inner wall of the calendaring device body; rubber raw materials are subjected to calendaring forming through the multiple first calendaring rollers and the multiple second calendaring rollers, after forming, a second driving motor drives a material collecting roller to rotate to collect formed rubber pads, and then redundant parts are cut through a cutting knife; and the formed rubber pads are collected, so that the rubber pads can be prevented from being accumulated in the storage box body, and the material taking efficiency and the production efficiency in subsequent operation are improved.

The present invention discloses a waste heat recovery device for cooling cement clinker, which relates to the field of high-efficiency energy-saving industrial technology. Specifically, it includes a mounting platform and a grate cooler body arranged thereon, and a grate plate is arranged in the grate cooler body. The right end of the grate cooler body is provided with a waste heat recovery box into which materials can be transported through the grate plate. The interior of the waste heat recovery box is provided with a material barrel that can shake. The waste heat recovery device for cooling cement clinker realizes efficient heat transfer by constructing a waste heat recovery structure composed of a grate cooler body, a waste heat recovery box, a material barrel, a material spiral plate and a heat collection spiral groove plate. The grate cooler body cooperates with the grate plate to transport the cement clinker to the waste heat recovery box. The crushing component and the connecting hose guide the cement clinker into the material barrel and fall on the material spiral plate. The vibration motor and the first spring cause the material barrel to vibrate, allowing the cement clinker to move downward along the material spiral plate.

The invention discloses an intelligent preparation system and process for a composite antibacterial material with synergistic interaction of nanoparticles, and relates to the field of preparation of composite antibacterial materials. The raw material pretreatment module integrates a nano particle purification unit, a base material modification unit and an antibacterial agent dispersion unit, so that the purity and the dispersity are improved; the intelligent proportioning and mixing module consists of a five-channel metering pump, a dynamic mixer and a concentration monitoring device and is used for accurately controlling the component proportion; the reaction synthesis module comprises a constant-temperature reaction kettle, a pressure control system and an inert gas protection unit, and stable reaction is guaranteed; the performance online detection module is used for testing the antibacterial property, the mechanical property and the microstructure; the intelligent regulation and control module optimizes process parameters through an algorithm; the product post-processing module comprises a filtering unit, a drying unit and a sterile packaging unit to ensure the product quality. The antibacterial performance and stability are improved, the antibacterial aging is prolonged, energy consumption is reduced, efficient, green and intelligent preparation of the composite antibacterial material is achieved, and industrial technology upgrading is promoted.

The utility model relates to the technical field of industry, and discloses a raw material impurity removal device for polyaluminum chloride production, which comprises a box body, and a vibration mechanism is fixedly connected in the box body; and the vibration mechanism comprises first driving motors, a semicircular plate and a first device box, the bottom walls of the two first driving motors are fixedly connected into clamping grooves in the left wall and the right wall in the box body, and the output ends of the two first driving motors are fixedly connected with connecting shafts. According to the impurity removing device, the vibrating mechanism is arranged, so that the problems that small particles or impurities difficult to separate are left in raw materials, the processing capacity of the impurity removing device is reduced, and the same number of raw materials need to be processed for a longer time can be solved; and after the first driving motor is started, the eccentric wheel is driven to rotate through the connecting shaft at the output end, so that the dust removal effect is effectively improved, the condition of blockage caused by particles is reduced, and the working efficiency is improved.

An industrial technical support system leverages generative artificial intelligence (AI) techniques to generate technical support guidance and recommendations in response to natural language technical support requests submitted as natural language input. The system can maintain and leverage one or more sets of custom models trained with sets of domain-specific training data specific for different industrial domains. When a natural language technical support query is received, the system leverages the domain-specific training data as well as responses prompted form a generative AI model to formulate and render technical support recommendations for addressing a performance or design issue described by the query.

The utility model relates to the technical field of industry, in particular to an automatic wire terminal assembling machine which comprises a machine body and an adapter plate body, and conveying mechanisms are arranged on the left side and the right side of the machine body. The conveying mechanism comprises a first storage table, a first infrared detector, a first conveying belt, a first limiting rod, a first finished product table, a second storage table, a second infrared detector, a second conveying belt, a second limiting rod, a second finished product table and a high-precision manipulator; the first storage table is arranged on the left side of the machine body, the first infrared detector is arranged on the right side of the first storage table, the first conveying belt is arranged on the right side of the first infrared detector, and conveying notches are formed in the outer walls of the two sides of the machine body in a penetrating mode; the controller drives the high-precision manipulator to splice the adapter plate bodies on the first conveying belt and the second conveying belt, so that the adapter plate bodies on the two conveying belts can be spliced through the high-precision manipulator, and the processing efficiency is improved.

The invention provides a modular optimization method for an industrial production process, which belongs to the technical field of electrical digital data processing, and comprises the following steps: firstly, constructing a real-time requirement matrix to perform real-time grading on modules; a time-sensitive network architecture is deployed to ensure that key signal transmission delay is controllable; edge computing nodes are introduced to reduce data transmission delay; a low-delay communication network is constructed based on an industrial 5G technology; real-time deviation fluctuation matrix monitoring is implemented to capture delay abnormity; adaptive control compensation is realized by applying a real-time adjustment gain matrix; establishing a time deterministic task scheduler to optimize task execution; implementing a cross-module synchronous clock mechanism to eliminate a time synchronization error; a modular real-time optimization engine is constructed to realize self-tuning of the system, and the problem of real-time control failure caused by communication delay and scheduling uncertainty in modular industrial production is solved.

The invention discloses a self-adaptive composite hose auxiliary mounting device and method, and belongs to the technical field of modern industry. The multi-degree-of-freedom posture adjusting platform is mounted at the front end of the movable chassis; the self-adaptive reducing clamping assembly is fixed on the multi-degree-of-freedom posture adjusting platform; wherein the self-adaptive reducing clamping assembly comprises an annular base and at least three multi-joint flexible clamping arms which are uniformly distributed on the annular base, tail end flexible contact blocks are arranged at the tail ends of the multi-joint flexible clamping arms, and array type film pressure sensors are embedded in the tail end flexible contact blocks; the crawler-type flexible propelling assembly is installed on the movable chassis and located behind the multi-degree-of-freedom posture adjusting platform; according to the invention, the equipment purchase and management cost of the user is greatly reduced, and the economic benefit is improved.

The utility model provides a physical cleaning and descaling device for industrial circulating cooling water, which belongs to the technical field of industry and comprises a connecting plate, a sound wave vibration cleaning component and a high-pressure cleaning component. The sound wave vibration cleaning assembly comprises a plurality of fixing blocks arranged on one side of the cooling water storage box, an ultrasonic cleaner is arranged on one side of the fixing blocks, a vibration motor is arranged on the other side of the cooling water storage box, and the bottom of the vibration motor is fixedly connected with the connecting plate. The connecting pipe and an external pipeline can be conveniently connected to supply water into the hyperbaric cabin frame, the water is supplied to the high-pressure spray head through the hyperbaric cabin frame, and then the high-pressure spray head is used for performing high-pressure washing on the inner wall of the cooling water storage tank, so that the aim of cleaning for multiple times is fulfilled, and the cleaning is cleaner.

The invention discloses an AI-based intelligent regulation and control method and equipment for low-carbon combustion of hydrogen fuel of a cement kiln, and belongs to the technical field of cement industry. According to the method, through multi-source data acquisition and preprocessing, AI model construction and training, intelligent regulation and optimization and closed-loop verification and iteration, intelligent optimization regulation and control of the hydrogen fuel combustion process are realized, so that the thermal efficiency is improved, and the carbon emission intensity is reduced; the content of constructing the AI model and training comprises the following steps: constructing a multi-objective optimization model based on a specific algorithm, and training the model through supervised learning and reinforcement learning by taking kiln operation parameters as input and optimal combustion control parameters as output; the content of intelligent regulation and control and optimization comprises the steps that data are collected in real time and input into an AI model, multi-target optimization is achieved in combination with MPC and a self-adaptive optimization algorithm, and therefore the dynamic self-optimization capacity is achieved. The thermal efficiency of the cement kiln can be remarkably improved, and the carbon emission strength is greatly reduced.

The present invention relates to the field of industrial technology, specifically a single crystal silicon pretreatment device, comprising a flat plate, a support plate fixedly mounted on one side of the flat plate; a spray plate fixedly mounted on the top of the support plate; a water tank fixedly mounted on the top of the spray plate, a water inlet pipe provided on the water tank; a first motor fixedly mounted on the flat plate; a second motor fixedly mounted on the end of the rotating shaft of the first motor; a third motor fixedly mounted on the end of the rotating shaft of the second motor; a receiving panel fixedly mounted on the end of the rotating shaft of the third motor, the receiving panel being a continuously bent structure, comprising a first vertical plate, a second horizontal plate and a third vertical plate, the third vertical plate being located at the bottom; a protective mechanism installed on the receiving panel. The present invention receives, cleans and outputs silicon wafers, and completes the rinsing of pretreated silicon wafers on the basis of connecting the original conveyor belt feeding, thereby achieving efficient and low-cost rinsing of the silicon wafers, while greatly shortening the transfer distance and cost.

This application provides an analysis method and system that integrates large models and knowledge graph technology, involving the field of deep learning. It first extracts the text content of original documents related to industrial technology from patent databases, academic literature libraries and policy documents, and uses this to construct an industrial technology knowledge graph. Then, the relevant information nodes are located through the industrial technology knowledge graph to extract industrial technology query matching content, and a large language model is used to perform significant semantic interaction analysis, and then an intelligent answering robot based on a large language model is used to generate question answering texts that match user consultations, thereby performing semantic interaction analysis and automatic answer generation on industrial technology-related documents and user consultation questions, providing more personalized and comprehensive question answering texts related to industrial technology analysis for different user consultation questions, and improving the performance of the question-answering system.

The utility model relates to building industry technical field discloses a novel socket device of smoke flue, including iron sheet frame, the inside of iron sheet frame is provided with lower smoke flue pipe and upper smoke flue pipe, upper smoke flue pipe sets up the top of lower smoke flue pipe, is provided with sealing assembly between lower smoke flue pipe and upper smoke flue pipe, sealing assembly includes connecting frame, connecting frame sets up between lower smoke flue pipe and upper smoke flue pipe, and both sides of connecting frame are fixedly connected with inner frame and outer frame, the utility model discloses utilize bottom sealing gasket, inner sealing frame and outer sealing frame carry out first layer sealing to butt joint gap, then through the gap of outer inner concrete cushion layer sealing smoke flue pipe and outer frame forms second layer sealing, utilizes sealing rubber strip to form third layer sealing to the included angle gap sealing, heat shrinkage film is wrapped and is convenient for the fourth layer sealing of enhancing sealing property, and the outer concrete cushion layer outer seal fixed heat shrinkage film and further strengthen the sealing property and form the fifth layer sealing.

The utility model relates to the technical field of industry, and discloses an efficient rotary screening device for epoxy polyester plastic powder production, which comprises a main body, a bottom plate is fixedly connected in the main body, a motor is fixedly connected to the bottom of the bottom plate, a driving gear is fixedly connected to the output end of the motor, and a rotating shaft is rotatably arranged on one side, away from the motor, of the driving gear. According to the utility model, the gear is linked with the firing pin, and the rotating shaft drives the driving hammer to rotate, so that materials entering from the feeding port are subjected to crushing, screening and vibrating screening operation, the material entering conditions are optimized to a certain extent, the screening efficiency is improved, and the screening quality is improved. For the limitation degree of dry and wet materials, the materials in the material bin are moved through operation of the material pushing structure, screening operation of a driving hammer and a filter screen is matched, screened fine materials are discharged through the second-stage material bin to do needed work, and a cover plate at the top can be conveniently maintained before and after use and cleaned.

The invention relates to the technical field of the building industry, and discloses a fabricated steel structure and an installation method, the fabricated steel structure comprises frame columns and frame beams, and the frame columns and the frame beams are connected in a matched mode; the modular node units are detachably connected with the frame columns and the frame beams respectively; the modularized joint unit comprises a first connecting plate and a second connecting plate, the sides, deviating from each other, of the first connecting plate and the second connecting plate are suitable for being connected with one ends of the adjacent frame columns correspondingly, and a box type steel column section is arranged between the first connecting plate and the second connecting plate; the two ends of the box type steel column section are connected with the first connecting plate and the second connecting plate correspondingly. The modularized joint units are further provided with I-shaped steel beam ends, and the two I-shaped steel beam ends are connected with the two ends of the box type steel column section respectively in the extending direction of the frame beam.

The invention discloses hyaluronic acid-micelle casein concentrate hybrid particles and application thereof in emulsion gel, and belongs to the field of new materials. The HA-MCC hybrid particles with excellent performance are prepared by utilizing the micelle casein concentrate and sodium hyaluronate with a certain molecular weight on the basis of a very simple, rapid and environment-friendly green industrial technology; the HA-MCC hybrid particles are used for preparing high-internal-phase emulsion gel with excellent rheological property, mechanical property and 3D printing property. The HA-MCC hybrid particles and the high internal phase emulsion gel prepared by the invention have good application prospects in various fields of food, health care products, cosmetics, daily chemical products, biological medicines and the like, and great potential is provided for combination of 3D printing and food science.

The utility model relates to the technical field of industry, and discloses a guide rail sliding block end dustproof sealing structure which comprises a sliding block body, bearing pieces are installed at the two ends of the sliding block body, scraping pieces are installed on the side faces, away from each other, of the two bearing pieces, and a plurality of buffering pieces are installed on the side faces, away from each other, of the two scraping pieces. According to the dustproof sealing structure for the end of the guide rail sliding block, lubricating grease on the sliding rail can be scraped off in the sliding process of the sliding block body through the installation scraping piece, the situation that normal sliding of the sliding block body is affected due to the fact that impurities are adsorbed by residual grease on the sliding rail can be avoided, epoxy resin can be fixed to the clamping piece through the installation clamping piece, and the service life of the sliding block body is prolonged. The epoxy resin is arranged on the sliding block body, the epoxy resin is matched with the gap between the sliding block body and the sliding rail, after the epoxy resin is hardened, the sliding block body can be sealed, the sealing effect on the sliding block body can be improved, the buffering capacity of the sliding block body can be improved by installing the buffering piece, and damage caused by collision of the sliding block body can be reduced.