5028results about How to "Improve processing efficiency" patented technology

The invention discloses a cup lid stacking machine. The cup lid stacking machine comprises support feet, a base, a motor, a drive shaft, a limiting mechanism A, a cup taking mechanism, a rotary platform assembly A, a limiting mechanism B and a rotary platform assembly B. The support feet are arranged on four feet of the base. The motor is arranged on the base. One end of the drive shaft is connected to the motor. The limiting mechanism A and the limiting mechanism B are arranged on the base in parallel. The cup taking mechanism is arranged between the limiting mechanism A and the limiting mechanism B. The cup taking mechanism is connected to the drive shaft. The rotary platform assembly A and the rotary platform assembly B are arranged on the base. By the adoption of the cup lid stacking machine, the automatic multi-layer stacking of cup lids can be achieved, traditional manual stacking is replaced, and the machining efficiency of the cup lids is improved.

A double-grinding-head electric adjusting assembly comprises a base, an outer grinding head, an inner grinding head and a grinding head driving device, the outer grinding head and the inner grinding head are both arranged on the base, the grinding head driving device is used for driving the outer grinding head and the inner grinding head to rotate, and the inner grinding head is located on the inner side of the outer grinding head and is coaxial with the outer grinding head. The base is provided with a center shaft fixedly connected with the inner grinding head and an electric adjusting device used for adjusting the position of the inner grinding head, and the electric adjusting device is configured to be matched with the center shaft to drive the center shaft to move in the axial direction so that the inner grinding head can conduct axial position adjustment relative to the outer grinding head. The axial position of the inner grinding head can be adjusted according to actual machining requirements, and the inner grinding head can be conveniently and rapidly adjusted through the electric adjusting device.

The invention relates to the technical field of wastewater treatment, and discloses a multi-stage wastewater treatment device for wood production, which comprises a treatment tank, and further comprises a filter cartridge I and a filter cartridge II which are cylindrically arranged in the treatment tank, and the filter cartridge II is positioned in the filter cartridge I and is used for sequentially separating impurities in wastewater; the water outlet pipe is arranged at the bottom of the filter drum II and is used for guiding out the treated wastewater; the water inlet pipe is arranged at the bottom of the treatment tank. By adopting the filter cartridge I and the filter cartridge II, continuous multi-stage filtration from rough filtration to fine filtration is realized, saw dust, fibers and other impurities with different particle sizes are removed at one time, meanwhile, online self-cleaning is synchronously carried out, and rotary filtration and filter screen cleaning are synchronously carried out through motor driving; therefore, the problem that traditional filtering equipment must be frequently shut down and manually cleaned due to quick blockage of a filter screen is solved, continuous and uninterrupted efficient operation of the wastewater treatment process is ensured, and the overall treatment efficiency and production continuity are greatly improved.

The invention discloses a multi-modal sensor abstract description and packaging method and system based on software definition. Firstly, a unified sensor abstract description model based on software definition is introduced, so that hardware independence is realized, and the differences of a bottom-layer multi-mode sensor in the aspects of interfaces, protocols and data formats can be effectively shielded; secondly, abstract packaging of data is achieved through an autonomous information processing module, and high-bandwidth and high-redundancy original data is converted into low-bandwidth and high-value structured information; in addition, by means of automatic registration, discovery, scheduling and control mechanisms of the sensor management control module on sensor resources, the system realizes a real plug-and-play function. According to the invention, by deploying the autonomous information processing modules at various sensor nodes, the original sensing data is preprocessed, and standardized data packaging with semantic consistency is output, so that the operation load of the central controller is reduced, and the information processing efficiency and the system response capability are also improved.

The invention discloses a method and a system for efficiently removing a diaphragm of a non-liquid-injected roll core and accurately separating a positive pole piece and a negative pole piece. The method comprises the following steps: S1, carrying out primary slice dissociation; s2, primary winnowing and coarse removal; s3, secondary slicing and refined hydrolysis; s4, secondary winnowing and fine removal; s5, size grading; and S6, adaptive color selection. According to the method, traditional shredding is replaced by grading slicing, structural lamination of the materials in the treatment process is fundamentally avoided, the high removal rate of the diaphragms and high-precision sorting of pole piece materials in different forms are sequentially achieved, and the purity and process efficiency of overall recycled products are remarkably improved.

The present application relates to a kind of rocket engine injector thin-wall milling self-positioning fixture and assembly method, it mainly includes upper positioning tire body component, conical surface expansion ring, tire unloading bottom plate, pressing cover plate, tire unloading lifting ring, pressing bolt, expansion screw, lower positioning bottom plate component, locking bolt, long fixed bolt, lower positioning bottom plate component is fixed in machine tool workbench by locking bolt long-term, always not disassembled.Product is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion screw before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thin-wall;Injector thin-wall is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion screw before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thin-wall;Injector thin-wall is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion sleeve before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thinn

The invention belongs to the technical field of copper rod machining, and particularly discloses a copper rod machining device and a machining process thereof.The copper rod machining device comprises a base, two sets of workpiece supporting frames, a lifting frame, two sets of cutting machines and a transverse embracing mechanism, and the two sets of workpiece supporting frames are symmetrically installed on the upper surfaces of the two sides of the base; the two sets of workpiece supporting frames are correspondingly connected with sliding blocks through bidirectional driving pieces correspondingly arranged in the two sets of workpiece supporting frames, assembling rods are fixedly installed on the outer sides of the two sets of sliding blocks correspondingly, and a first guide frame and a second guide frame are arranged between the two assembling rods with the opposite end faces correspondingly. According to the copper rod cutting and polishing integrated machining device, copper rod cutting and polishing integrated machining is achieved, the cutting position is accurately controlled, end face burrs are effectively removed, the equipment investment and the operation cost are reduced, the machining efficiency is improved, and the machining quality is improved. And the machining efficiency and the yield are improved, and the production requirements of small and medium-sized copper material machining enterprises are met.

The mixed structure instrument cross beam support provided by the application comprises a support body, a plurality of support pipes arranged on the support body, and a plurality of support pipe connecting plates arranged on the support body and connected with the support pipes.

The invention provides an ultra-high-speed electric connector which comprises an insulating body, the insulating body is provided with a lengthwise slot, a plurality of terminal slots are formed in lengthwise side walls on the two sides of the slot respectively, and a fool-proof part is arranged in the slot and used for dividing the insulating body into a power supply and low-speed signal area and a high-speed signal area which are located on the two sides of the fool-proof part; the plurality of terminals comprise differential signal terminals distributed in the high-speed signal area and other terminals distributed in the high-speed signal area and the power supply and low-speed signal area, every two differential signal terminals are adjacent, and two sides of every two adjacent differential signal terminals are respectively provided with a grounding terminal; every two adjacent differential signal terminals and two grounding terminals located on the two sides of the two differential signal terminals form a terminal module, and the two differential signal terminals and the two grounding terminals of each terminal module and an insulating block inserted into the insulating body are formed in an embedded mode. The ultra-high-speed electric connector can enable signal transmission to be better and more stable.

The invention relates to the technical field of waste plastic treatment, in particular to a waste plastic grading carbonization device and a waste plastic treatment method. The waste plastic grading carbonization device comprises a feeding hopper, a crushing device, a grinding device, a screening device, a catalyst self-adaptive proportioning device, a first spiral discharging machine, a first-stage carbonization chamber, a second-stage carbonization chamber, an activation chamber, a second spiral discharging machine, a solid product collecting device, a liquefaction device, a liquefied product collecting device, a cooling water circulating device and a third spiral discharging machine, a material returning bin and a tail gas treatment device. According to the invention, through the collaborative innovation of'grading carbonization 'and'catalyst self-adaptive proportioning device', the problems of incomplete and non-uniform carbonization of the waste plastics, inadequate utilization of gas products and the like in the pyrolysis process of the waste plastics are solved, and an industrial feasible path is provided for chemical recovery of the waste plastics; the device is reasonable in overall structural design and high in treatment energy efficiency, and continuous, sufficient and efficient pyrolysis and high-value conversion of the waste plastics are achieved.

According to the auxiliary positioning clamp for milling the exhaust manifold, an inclined positioning supporting device is arranged on the right side of the upper end face of a bottom plate, and when the inclined positioning supporting device is connected with a flange at the lower end of a middle pipe of the exhaust manifold in a matched mode, an upper end pipe of the exhaust manifold is in a horizontal state, and a pipe opening in the elbow end of the upper end of the exhaust manifold is parallel to the corresponding side wall face of the bottom plate; the left side of the upper end face of the bottom plate is provided with a positioning and supporting assembly used for supporting the elbow end of the upper end of the exhaust manifold and determining the center position of a pipe opening, and the positioning and supporting assembly is matched with a pressing assembly arranged on the upper end face of the bottom plate to fixedly support the elbow end of the upper end of the exhaust manifold on the bottom plate. Initial positioning conditions are provided for the center of a pipe opening of the upper end pipe of the exhaust manifold, reliable supporting and fixing of the exhaust manifold on the bottom plate are achieved, the defect that a traditional clamp is high in requirement for machining equipment is overcome, machining cost is reduced, the exhaust manifold can be accurately and rapidly positioned and clamped, production cost is reduced, and the machining efficiency is improved. Equipment limitation is eliminated, and the production requirements of parts are met.

The invention discloses an electronic archive intelligent data management method and system based on a large model. The method comprises the following steps: firstly, acquiring an electronic archive file, performing unified access, identifying a text through an OCR (Optical Character Recognition) technology, and reserving original layout coordinate information; analyzing the document page by page to generate a page-level structured object containing text and position mapping; then, on the basis of a preset domain prompt template, calling a large language model to extract file metadata from the page-level object, recognizing entities and relationships in combination with file knowledge ontology, and generating a semantic triple containing an evidence source page number; and finally, fusing the metadata and the triple to construct an electronic archive knowledge graph with a page-level traceability function. According to the invention, through a whole-process semantic governance mechanism from access, analysis to knowledge generation, the problems of difficult analysis of unstructured data, weak semantic understanding and lack of traceability in traditional archive management are effectively solved, and the intelligent level and data credibility of archive governance are significantly improved.

The invention discloses a manufacturing industry production data real-time management system and method based on Internet of Things edge computing. Comprising a data acquisition and preprocessing module, a lightweight agent module, an edge computing module, a network transmission module, a platform management module, an application service module, a security protection module, a self-adaptive resource configuration module and a monitoring and diagnosis module. According to the invention, nearby acquisition, preliminary cleaning and real-time analysis of multi-source heterogeneous data from a sensor, a controller and industrial equipment are realized, the cloud burden is effectively reduced, and the overall processing efficiency is improved. A real-time anomaly detection mechanism based on a sliding window and machine learning is constructed, parameter deviation, equipment faults or process anomalies in the production process can be recognized within millisecond-level time, and early warning or control feedback is triggered.

The invention discloses an operating system IO processing method supporting random IO merging, an operating system and a storage system, and belongs to the field of computer operating systems. The method comprises the steps that in a user mode, only one parameter copy is reserved for the same parameters of a plurality of random IO requests and recorded in a shared structure A, respectively recording different parameters of each random IO request into the shared structure body B to obtain a pseudo sequence request; the pseudo-sequence requests are issued to a system kernel, corresponding operations are executed on the pseudo-sequence requests in all layers of the system kernel in sequence, the batch operations are only executed once, and the non-batch operations are executed once for all the random IO requests respectively; the batch operation and the non-batch operation are operations executed for parameters in the shared structure body A and the shared structure body B respectively; and splitting the pseudo sequence request into random IO requests in an equipment driving layer of the kernel system, generating a corresponding equipment command, and submitting the equipment command to storage equipment. According to the invention, kernel overhead under the condition of high throughput can be relieved, so that the throughput is improved.

The invention relates to the technical field of wastewater treatment, in particular to a multi-stage treatment method and system for lead smelting wastewater. The method comprises the following steps: acquiring water quality data of the multi-source lead-acid storage battery smelting wastewater, and based on the water quality data, analyzing to obtain a battery wastewater multiphase feature set; on the basis, the information of the stabilized intermediate water body is obtained by dynamically adjusting the hydrogen ion concentration, breaking a complexing structure and preferentially separating fluoride; on the basis, the antimony valence state and the antimony concentration are monitored in real time, the oxidizing agent type and the reaction intensity are matched in a self-adaptive mode, oriented efficient conversion of antimony is achieved, and low-antimony pre-sedimentation water outlet information is obtained; on the basis, according to the dynamic proportion of the inlet water hydrogen ion concentration to the lead and antimony ions, a precipitation path control instruction is automatically switched, a purified water body with lead and antimony synchronously and deeply removed is obtained, and a lead smelting wastewater multi-stage treatment log is output. Harmful pollutants in the lead smelting wastewater process are efficiently removed, the method adapts to water quality fluctuation, consumption reduction and cost saving are achieved, compliance treatment of wastewater is achieved, and environment-friendly and economic values are achieved.

The invention discloses a rail fastener loosening fault diagnosis and identification method and system. The method comprises the steps that at least one steel rail vibration signal in a preset time period is acquired based on a preset improved vibration sensor; carrying out improved symplectic geometric mode decomposition on the at least one steel rail vibration signal to respectively obtain a steel rail vibration reconstruction signal corresponding to the at least one steel rail vibration signal; carrying out feature selection on each steel rail vibration reconstruction signal according to a preset Leloine feature screening strategy, and constructing a feature matrix corresponding to each steel rail vibration reconstruction signal based on the selected features; and inputting each feature matrix into a preset improved bidirectional gating loop unit network, and performing iterative training on the improved bidirectional gating loop unit network to obtain a fastener loosening fault analysis model. The accuracy of track fastener loosening fault degree recognition and the classification precision are improved, and track faults can be checked easily.

The invention discloses a transformer substation secondary circuit drawing intelligent processing method and system, belongs to the technical field of electric power system digitization, and aims to solve the problems that the missing detection and false detection rate of old fuzzy drawings is high, a deep learning model lacks topological semantic understanding, full-process automation is insufficient, and structural management is lacked in conventional secondary circuit drawing processing. According to the core scheme, the method comprises the steps of segmenting an image through a U-Net network to generate masks, generating a structured topology table in combination with a primitive database, converting the structured topology table into nodes and directed edges with electrical attributes, constructing a queriable graph database integrating version management, rule check and a layout optimization algorithm, and finally generating a standard format drawing. According to the scheme, the primitive recognition and topology analysis precision is improved, deep mapping from images to electrical logic is achieved, full-process automation is achieved, version tracing and rule verification are supported, and standardized drawings are produced.

The invention relates to the technical field of three-dimensional point cloud data processing, and provides a subsidence-water-area-oriented point cloud stripe noise LTCF elimination method and system, and the method comprises the steps: obtaining point cloud data, preprocessing, filtering, and optimizing point cloud output. The filtering processing comprises the following steps: local covariance feature extraction: aiming at each target point in the preliminarily optimized point cloud obtained by preprocessing, constructing a k-nearest neighbor domain, and calculating local covariance contribution values of each target point in X, Y and Z spatial directions; compared with the prior art, the method has the following beneficial effects that the industrial pain point of a subsidence water area scene is solved, a three-direction covariance joint judgment mechanism is innovatively introduced, exclusive recognition logic is designed for specific low-elevation strip noise only containing XY-direction covariance in the subsidence water area, the lamellar strip noise which cannot be recognized completely by a traditional algorithm can be accurately captured, and the recognition accuracy of the subsidence water area scene is improved. And the problem of eliminating the point cloud core noise of the subsidence water area is solved fundamentally.

Embodiments of the present disclosure provide an image processing method, device, equipment, medium and product. The method comprises: in response to an image processing request, obtaining an image to be processed; parsing the image to be processed from at least one parsing dimension to obtain at least one parsing result of the image to be processed; selecting a target processing algorithm for the image to be processed according to the at least one parsing result; and performing corresponding image improvement processing on the image to be processed based on the target processing algorithm to obtain an improved target image. The problem of low image processing precision is solved.

The utility model discloses a vulcanizing device for automatic silica gel forming, which relates to the field of silica gel production vulcanizing technology and comprises two guide rails which are symmetrically arranged, vertical columns are fixedly arranged at the tops of the guide rails, and a heating assembly is slidably arranged between the two vertical columns through a lifting assembly. A first moving frame and a second moving frame which are the same in structure are placed between the two guide rails, and the second moving frame is located under the heating assembly. After the silica gel on the second moving frame is processed, the silica gel can be moved to the outside by pushing the grab handle to wait for cooling without waiting for cooling of the silica gel, so that the blanking convenience of the vulcanized silica gel can be improved, the trouble of manually taking out the vulcanized silica gel is avoided, and the production efficiency is improved. The problems that after silica gel is vulcanized, scalding vulcanized silica gel is difficult to take out, operation is inconvenient, the human body is scalded due to the fact that high-temperature vulcanized silica gel makes contact with the human body, and improvement is needed are solved.

The application discloses a laser engraving processing device and method based on a five-axis engraving machine, relates to the field of laser engraving equipment control, and loads a three-dimensional CAD model and a process task of a workpiece to be processed, distributes the process task to machining paths of each laser processing assembly, respectively predicts time-space collision of paths of five laser processing assemblies, adjusts speed or paths of low-priority laser processing assemblies through a priority avoidance algorithm when collision risk is predicted, and generates a collision-free pre-planned path. Through reasonable path planning and a collision avoidance mechanism, the application effectively avoids collision risk between multiple laser processing assemblies and guarantees stability of a machining process. Through establishment of a thermal influence monitoring grid and a thermal dose accumulation model, laser machining parameters are adjusted in real time, workpiece deformation caused by thermal dose superposition is avoided, and machining quality is improved. A focal point dynamic following mechanism ensures that the focal point is always in an optimal machining position, and further improves engraving precision.

This invention relates to a method, apparatus, electronic device, and storage medium for intelligent agent memory management. The method includes: acquiring interaction content between the intelligent agent and a user; performing semantic segmentation and metadata extraction to generate memory fragments; storing the memory fragments in a multi-level directory structure of a local file system, without deleting memory fragments already stored in the multi-level directory structure; constructing a time index, keyword index, semantic index, and association index for the memory fragments; and, in response to a retrieval request from the intelligent agent or user, retrieving memory fragments matching the retrieval request from the time index, keyword index, semantic index, and association index respectively to obtain a candidate memory set, performing fusion and sorting to obtain sorted memory data. This invention improves the efficiency of intelligent agents in accumulating and reusing knowledge and experience, and also enhances privacy protection and long-term memory reliability.

The utility model relates to the field of protective film discloses a kind of hot-press processing device of household electrical appliance protective film, including workbench, the top of the workbench is fixedly connected with support, the inner wall top of the support is fixedly installed with hydraulic cylinder, the output end bottom of the hydraulic cylinder is fixedly connected with hot-press plate, the top of the workbench is provided with fixed mechanism, the fixed mechanism includes placing seat, the placing seat is fixedly connected in the top of workbench, the front of the placing seat is provided with recess.This utility model, through the cooperation of first electric push rod, push plate, moving rod and fixed clamp, combined with the second electric push rod driving articulated rod, slide base drives fixed clamp to adjust spacing, realize the automatic pressure fixation of different size protective film, the stress is uniform during fixing process, effectively avoid the displacement and wrinkle of protective film when hot-pressing, significantly improve the close tightness, solve the problem of poor fixing effect of prior art.

The utility model provides a Wuyi rock tea multi-layer circulation rolling type spreading and cooling machine which comprises a supporting bottom plate, fixing plates are arranged at the left end and the right end of the upper surface of the supporting bottom plate, synchronous motors are embedded in the peripheries of the inner side faces of the fixing plates, gears are arranged on output shafts of the synchronous motors, and the gears are connected with the supporting bottom plate. The gears on the periphery are connected in a meshed mode through a cog belt to rotate, an air opening is formed in the fixing plate, and the air opening is connected with an air inlet hopper. A placing and spreading-cooling piece for placing tea leaves is arranged between the tooth-shaped belts at the left end and the right end; according to the utility model, tea leaves can be automatically turned over, and the ventilation uniformity and the spreading cooling efficiency are improved.

The utility model discloses a hydrochloric acid ammonia gas corrosion test case relates to test case technical field, including test case main part, support seat, waste gas treatment tank, support seat top both sides are connected with test case main part and waste gas treatment tank respectively. The utility model discloses a ammonia gas injection pipe and hydrochloric acid injection pipe inject proper amount of ammonia gas and hydrochloric acid gas into test case main part, wherein the hydrochloric acid conduit and ammonia gas exhaust pipe correspondingly connected of ammonia gas injection pipe and hydrochloric acid injection pipe are upside down distribution in test case main part, are favorable to the full mixing of hydrochloric acid gas and the ammonia gas below, form even corrosive gas environment, this can ensure that the corrosion effect that each part in test case receives is more consistent, thereby obtains accurate test result, wherein the test case main part inner wall has been daubed anticorrosive layer coating), can effectively prevent the corrosion of hydrochloric acid and ammonia gas to test case main part inner wall.

The invention discloses a resource scheduling optimization method and system based on dynamic load awareness, and belongs to the technical field of resource scheduling, and the method comprises the steps: carrying out the index collection of a consumer group and an AI model through a load awareness agent when the consumer group processes real-time business data, and obtaining a plurality of operation indexes; if the operation index meets a preset resource scheduling condition, performing resource allocation according to the operation index and the service priority of the real-time service data, and constructing a resource scheduling rule; based on the operation index and the resource scheduling rule, calculating an optimal scheduling action through a dynamic scheduling engine; and updating the concurrency number of the consumer group and the configuration parameters of the AI model by using the optimal scheduling action. Therefore, by implementing the method and the device, the problems of low business processing efficiency and resource waste caused by the fact that the consumption capability of the data processing cluster and the reasoning capability of the AI model cannot meet actual requirements due to the fact that resources cannot be dynamically allocated in the prior art can be solved.

The utility model discloses a sewage treatment device for slaughterhouse belongs to sewage treatment technical field, including box, the top of box is equipped with inlet pipe, the bottom fixedly connected with the inlet pipe of communicating hose, the fixedly connected with fixed plate of inlet pipe, the bottom of fixed plate is equipped with mobile filter assembly, and this mobile filter assembly carries out mobile filtering to sewage, and the mobile filter assembly is connected with drive assembly, and this drive assembly is used for driving mobile filter assembly mobile work. The utility model not only is convenient to rotate filter and changes the position of filtration, reduces local block, and changes the position of sewage falling, and it is convenient for sewage to contact with medicine water more quickly and more fully and complete purification.

This utility model relates to the field of ball screw machining technology and discloses a double-push ball screw cyclone milling machine, including a housing. Two drive assemblies are provided on the inner walls of both sides of the housing. A cyclone milling cutter assembly is mounted on the upper drive assembly. A fixed platform is fixedly connected to the bottom inner wall of the housing. A slide is slidably connected to the upper surface of the fixed platform. A carriage is adjustablely mounted on the upper surface of the slide. A three-jaw chuck is rotatably connected to one side of the carriage via a bearing seat. A deceleration assembly is provided on one side of the carriage to slowly rotate the three-jaw chuck. This utility model uses two independent drive assemblies to move the workpiece and the cyclone milling cutter assembly respectively, allowing them to move in opposite directions to precisely control the workpiece's movement and axial feed, and to control the high-speed rotation and axial position of the cyclone milling cutter. The relative cutting motion between the two significantly improves machining efficiency.

This utility model discloses an automatic tool breakage detection device for a machining center, comprising a machining center body. An operation button is located on the left side of the front of the machining center body, and a display panel is located on the right side of the front of the machining center body. A machining groove is formed on the front of the machining center body, and a lifting hydraulic cylinder is located above the inner wall of the machining groove. This utility model, through the cooperation of a movable frame, a forward and reverse motor, a lead screw, and a nut seat, enables the movable frame to follow the position of the drill bit, ensuring that the infrared transmitter and infrared receiver are always in the appropriate position for tool breakage detection. Once the drill bit breaks, the infrared receiver receives an infrared signal, immediately triggering a buzzer alarm and an alarm light, promptly alerting the operator and preventing continued machining with the broken tool. This effectively improves workpiece machining quality, reduces scrap rate, lowers production costs, increases processing efficiency, and ensures smooth production.

This invention discloses an intelligent empowerment system for automotive after-sales service and its implementation method. The system includes a case collection module, a case review module, a knowledge sharing module, an intelligent recommendation module, a mutual assistance and communication module, a backend data analysis module, and a business empowerment module. Dealer repair personnel can submit standardized fault cases to the platform. After review, a case database is formed. The system calculates recommendation weights based on user profiles, case quality, and interaction data, achieving personalized distribution and precise matching of cases. Users can browse cases, seek help, and engage in interactive learning within the platform, forming a technical mutual assistance community. The backend data analysis module structurally extracts the collected cases and interaction information, generating standardized technical intelligence, and pushes it to business systems such as technical support, warranty management, spare parts planning, and training management, building a two-way empowerment mechanism between OEMs and dealers, and achieving closed-loop management from fault cases to business optimization.