42results about How to "Realize visual management" patented technology

The invention provides a business process construction method combining a workflow engine and a dynamic form, which relates to the technical field of low-code platforms, and comprises the following steps of: establishing a data table according to a business, selecting and importing the data table in a code generation module, generating a basic code package, re-operating a main program compiling code package and loading the code package to a JVM (Java Virtual Machine) operating environment; creating a dynamic form on the basis of the entity class information of the code package through a visual form designer of the dynamic form module, and outputting dynamic form configuration in a JSON (JavaScript Object Notation) format; according to the method, the dynamic form and the process engine are combined, highly flexible business process design can be realized, a user can dynamically design the form and the process model as required to meet different business requirements, and the user-defined component can be designed according to a business data structure and common functions, so that the form can better adapt to a specific business scene, and the user experience is improved. And the user experience and the working efficiency are improved.

The invention provides an energy-saving navigation method and system for a combined fleet under intelligent control, and relates to the technical field of data processing, and the method comprises the steps: collecting environment data and ship state data of fleet navigation in real time, carrying out the preprocessing, removing redundant data, obtaining a navigation data set, and obtaining a navigation data set according to the navigation data set; calculating a channel influence value, a sea condition influence value and a wake flow influence value, determining a resistance influence value of each ship according to the values, calculating the required power of each ship, obtaining a required power data set, calculating the compensation power of each ship, analyzing the limitation of the channel on the compensation power of the ships, balancing the distribution of the compensation power among the ships, and obtaining an energy-saving scheme. And the compensation power of each ship is adjusted in real time, the navigation efficiency of the fleet is monitored, execution data are obtained, whether the navigation efficiency reaches preset efficiency or not is analyzed, the resistance influence value of each ship is updated, and a power distribution scheme is adjusted. The propulsive power of the fleet can be intelligently controlled, and energy consumption is saved.

The invention relates to the technical field of municipal engineering, and particularly discloses a municipal engineering visual management system and method, and the method comprises the steps: constructing a lightweight panoramic three-dimensional model of a municipal engineering building based on laser point cloud data; thirdly, further introducing a data processing technology based on deep learning to perform feature extraction and feature selection on the lightweight building panoramic three-dimensional model and the target municipal engineering BIM model of the municipal engineering so as to mine key three-dimensional space structure features in the lightweight building panoramic three-dimensional model and the target municipal engineering BIM model; and characteristic difference analysis is carried out on the two, so that intelligent inference and visual management of the municipal engineering construction progress are realized. According to the invention, real-time and dynamic monitoring of the municipal engineering progress can be realized, and a visual construction progress view is provided for a manager, so that the manager can adjust and optimize a construction plan according to the construction progress, and the engineering can be completed on time.

The invention discloses a grain depot intelligent system based on digital twinning, relates to the technical field of grain depots, solves the problems of low visualization degree, untimely grain condition information acquisition and difficult remote visualization control of a current grain depot storage management mode, and comprises a model generation module, an intelligent analysis module, an intelligent early warning module, a grain condition display module and an intelligent control module, the model generation module is used for generating a grain depot twinborn model corresponding to a physical grain depot, the intelligent analysis module is used for analyzing a grain sample of the physical grain depot, and the intelligent early warning module is used for performing intelligent early warning on the storage condition of grains in the physical grain depot. The grain condition display module is used for displaying the corresponding grain depot twinborn model in the physical grain depot, the intelligent control module is used for intelligently controlling the storage condition of the physical grain depot, the grain condition information can be obtained in time, the grain depot can be visually managed, and remote visual control over the grain depot is achieved.

The invention discloses an intelligent mine monitoring method and system based on three-dimensional visualization, and the method comprises the steps: obtaining the geological data of an ore body region, constructing a surface model, and carrying out the boundary filling of the surface model, and obtaining an ore body three-dimensional model; vegetation data and identification data of the mine surface are obtained and marked in the ore body three-dimensional model, and a mine three-dimensional model is obtained; according to the working parameters and the task process of the mining equipment, updating the mine three-dimensional model according to a preset time interval, and displaying the mine three-dimensional model in a three-dimensional visual platform; and monitoring environment information of a mine, personnel behavior information and a working state of mining equipment, identifying abnormal information, and synchronizing the abnormal information to the three-dimensional visual platform for supervision. According to the invention, visual management can be carried out on the mining area environment, the mining state and the data information, so that the mine data management efficiency and intuition are improved.

The invention relates to a pumped storage power station construction inversion method and device based on a BIM model, computer equipment and a readable storage medium. The method comprises the steps that the BIM model of a pumped storage power station is established; inverting the construction process of the pumped storage power station through the BIM model; a three-dimensional digital integration platform is constructed, and the modeling process of the BIM model and the construction process of the pumped storage power station are visualized through the three-dimensional digital integration platform; and carrying out dynamic management on equipment in the pumped storage power station through a radio frequency identification technology and the BIM model. By adopting the method, the construction efficiency can be improved.

The invention provides a decoration progress management method based on virtual reality, and the method comprises the steps: carrying out the immersive roaming of a decoration virtual reality scene through a virtual reality head-mounted display device, obtaining the interaction operation data of a decoration material and a construction scheme of a user, and employing a recommendation algorithm based on user collaborative filtering, recommending an optimized decoration scheme in the decoration virtual reality scene according to the interactive operation data; the optimized decoration scheme is discussed and modified in a virtual space shared by multiple persons through a virtual reality collaboration platform, a distributed data synchronization mechanism is adopted, decoration virtual reality scenes among different users are synchronized, and the synchronization delay of the distributed data synchronization mechanism does not exceed 20 ms; and according to the evaluated decoration scheme, a construction plan in the order system is updated, a decoration task work order is generated, a construction result of each stage is accepted in the decoration virtual reality scene, and an acceptance result is synchronized to the order system.

The invention provides a roadbed compaction condition visual management method and system and roadbed compaction equipment, and belongs to the technical field of pavement construction management.The method comprises the steps that S1, a compaction path is obtained and divided into different compaction areas; s2, in the roadbed compaction process, compaction position information of a compaction area is obtained in real time, and a hash code corresponding to the compaction area is generated according to the compaction position information; s3, comparing the Hash code generated in the nth compaction process with all Hash codes generated before the nth compaction process, and determining compaction times based on a comparison result; and S4, establishing a roadbed compaction model, and uploading the compaction position information and the compaction times to the roadbed compaction model in real time for visual display. According to the method, the compaction times and the compaction positions are associated by using the Hash codes, and the compaction times of the compaction area are visually displayed through the compaction model, so that the roadbed compaction condition is visually managed.

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

The invention discloses a method for determining the content of amylose and amylopectin in corn through a full-automatic flow injection analyzer method, and particularly relates to the field of determination of the content of amylose and amylopectin in corn, the method comprises the following steps: taking a corn kernel sample, crushing into powder, and passing through a 80-mesh screen to obtain corn kernel sample powder; the corn kernel sample powder is subjected to reflux extraction degreasing through a degreasing agent, and a degreased corn kernel sample is obtained; the method comprises the following steps: weighing a degreased corn kernel sample, putting the degreased corn kernel sample into a conical flask, adding a 95% ethanol solution, transferring a sodium hydroxide solution into the conical flask, and heating the conical flask in a boiling water bath for 10 minutes to obtain a to-be-detected corn sample with starch dispersed; taking out the to-be-detected corn sample, cooling to room temperature, transferring into a volumetric flask, adding distilled water to a constant volume, shaking uniformly, analyzing by a flow injection analyzer, and calculating to obtain the content of amylose in the corn sample. The method has the advantages of high automation degree, high detection speed and simple sample treatment.

The present application discloses a medical equipment maintenance method, equipment, and medium based on industrial Internet identification. The method includes: generating an identification code based on characteristic information of the medical equipment, and classifying and storing the identification code and characteristic information associated with the identification code; generating a maintenance personnel characteristic node based on the characteristic information of the maintenance personnel; monitoring various operating indicators of the medical equipment to determine whether the various operating indicators exceed a preset range; if so, generating a maintenance work order based on the abnormal indicators, obtaining characteristic information of the maintenance work order, and generating a characteristic node of the maintenance work order based on the characteristic information of the maintenance work order; determining the characteristic node of the maintenance personnel that is closest to the characteristic node of the maintenance work order; and sending the maintenance work order to the maintenance personnel corresponding to the characteristic node of the nearest maintenance personnel.

The invention discloses a method for dynamically managing science and technology type enterprise innovation point elements in multiple parks, which relates to the technical field of data services, and comprises the following steps: establishing a structured enterprise innovation point element meta-model and a data model, and providing visual management of the meta-model and the data model; a model conversion relation and traceability connection are established between the innovative integral element data model and the display model, and the display model can be automatically and adaptively adjusted according to changes after the innovative integral element data model is changed; the model and data access interface declaration and implementation are unchanged by defining an extensible parameter object and a model conversion technology; enterprise innovation integral element multi-model parallel operation is supported, and multi-park domain labeling is realized by using a clustering algorithm. The problems that when an enterprise innovation point element data model changes, page layout and elements need to be redeveloped, and service interface declaration and specific implementation change accordingly are solved, and dynamic management of multi-park enterprise innovation point elements is achieved through visual configuration.

The application discloses a metro line foreign matter intrusion identification method, which comprises the following steps: setting a trackside monitoring, positioning, calculating and communicating device along a metro track line, and setting an image detection device and a radar detection device on a metro car head for data collection; then, real-time visual field image in the collected data is identified and detected to obtain a visual field image feature detection result; real-time radar data is identified and monitored to obtain a current radar detection object position; according to a data synchronization frequency, the current radar detection object position after coordinate conversion and the visual field image feature detection result are fused in target position to obtain a vehicle-mounted intrusion detection result; the vehicle-mounted intrusion detection result is uploaded by using a metro vehicle-mounted communication device, combined with a trackside monitoring foreign matter intrusion result, and mapping alarm is performed on a metro track line simulation map.

This application belongs to the field of front-end multi-application integration, and presents a method for dynamic registration and exception monitoring of sub-applications based on micro-frontends. First, detailed sub-application information is configured in the management center, and dynamic menu routes are generated based on this information. Then, sub-applications are filtered according to their current status, enabling dynamic registration. When a sub-application menu is clicked, the route changes, automatically triggering route matching rules. After the sub-application is mounted, the user is redirected to the corresponding sub-application page. Finally, event tracking is implemented in the sub-applications to enable global exception capture. When a front-end exception occurs in a sub-application, it is automatically captured, and the sub-application information and error logs are reported to the main application. The main application processes the error logs and stores them in the database. This effectively avoids the complex operation of modifying configuration files when integrating sub-applications, while also enabling visual management of sub-application status and reducing the workload of operation and maintenance management of the micro-frontend architecture.

The invention provides an implementation method of a cold chain storage intelligent energy-saving platform based on PySide2 and MySQL, and the method comprises the following steps: S1, data collection and storage: collecting data through a Modbus protocol, a unit main control board, a temperature and humidity sensor and an electric energy collection module, transmitting the data to an Ali cloud Internet of Things platform, and storing the data to an Ali cloud RDS MySQL database; s2, designing a platform interface, planning an interface layout by using a QT component, and realizing UI display by using PySide2; s3, a prediction model is constructed, based on LSTM and CNN neural network models, a database is remotely connected through SQL statements, data are read, future feature prediction is carried out, and intelligent execution is carried out in combination with a defrosting decision; and S4, a face recognition function: realizing user face recognition by embedding a YOLOv8n model, and storing new user data. The platform automatically manages cold chain storage data, improves the management efficiency, reduces the labor cost, predicts future data through the neural network, improves the decision accuracy, reduces the risk and cost, and achieves the energy-saving optimization effect.

The application relates to the field of automobile parts, and discloses a steam pipeline for manufacturing a vehicle body bottom protection plate, which comprises a main pipeline, a branch pipeline connected with one end of the main pipeline, a corrugated compensator arranged at the connection position of the main pipeline and the branch pipeline, and a multi-station adjustable monitoring module with a detection end extending into the pipeline, and a pipeline support for fixing the pipeline. High-temperature and high-pressure steam generated by a steam generator enters the device through the main pipeline. According to preset process parameters, a servo motor of a staged adjusting valve group is controlled by a separate PLC control cabinet, the steam conveying amount of each branch pipeline is adjusted, parameters of key positions of the pipeline are collected in real time by the multi-station adjustable monitoring module, signals are transmitted to the PLC control cabinet, and if the parameters exceed a threshold value, the PLC immediately drives an adjusting valve to correct.

The invention relates to the technical field of temperature control, and discloses a high and low temperature rapid linear temperature change control method and refrigeration equipment, the temperature change quantity of a temperature change test box in unit time is obtained, and if the temperature change quantity does not meet the requirement of a temperature change preset value, a temperature change abnormal signal is obtained; according to the temperature change abnormal signal, the temperature change speed difference of the temperature change test box in the time subunit is obtained, the temperature change speed difference of the temperature change test box in the time subunit is compared with the preset temperature change speed difference range of the temperature change test box in the time subunit, and the operation state of the time subunit is recognized; the temperature standard subunit and the temperature different subunit are analyzed and processed to obtain behavior data of the temperature change test box, a temperature change reverse value of the temperature change test box in unit time is obtained based on the behavior data of the temperature change test box, and temperature adjustment state recognition of the temperature change test box is completed according to the temperature change reverse value of the temperature change test box. And the visual management of the temperature change test box in the temperature control process is realized.

The utility model discloses a traditional Chinese medicine decoction piece hopper which comprises a hopper body. An electronic scale disposed at the bottom of the hopper; the microprocessor is configured on the outer surface of the hopper, and the microprocessor is in communication connection with the electronic scale; and the indicating lamp is in communication connection with the microprocessor. The electronic scale is used for weighing the weight of the traditional Chinese medicine decoction pieces in the hopper in real time and transmitting the weight data to the microprocessor, the microprocessor compares the received weight data with the preset weight data, and if the received weight data is smaller than the preset weight data, the electronic scale is used for weighing the traditional Chinese medicine decoction pieces in the hopper in real time. And the indicating lamp is controlled to be lightened to remind a manager to supplement, so that intelligent management of the traditional Chinese medicine decoction pieces is realized.

The invention discloses a modularized dynamic water quality regulation and control and algae prevention and control device for aquaculture, and relates to the technical field of aquaculture equipment.The modularized dynamic water quality regulation and algae prevention and control device is characterized in that a modularized main body supporting structure serves as a carrier, buoyancy supporting and spatial positioning are provided, and a charcoal-bacteria targeted synergistic pollution reduction system is arranged on the modularized main body supporting structure for pollution reduction; a full-period dynamic regulation and control module is mounted at the top to realize signal transmission and linkage control; a functional floating bed planting unit covers the upper part; an accurate algae prevention and control assembly is further arranged and is matched and linked with other parts through the layout of a supporting structure, and an all-dimensional prevention and control system is formed; according to the invention, multi-modal fusion and self-adaptive acquisition are adopted, and strict quality control is combined to guarantee data reliability; efficiency and safety are both considered through dynamic bandwidth transmission and encryption processing; parameter changes are accurately captured through edge end AI analysis, and misjudgment is avoided; meanwhile, a time sequence coupling algorithm and a multi-dimensional early warning mechanism improve the risk identification timeliness, realize resource optimization configuration, construct a personalized risk prevention and control system and strengthen the health monitoring accuracy.

The present invention provides a cross-platform big data resource management system and method, wherein the method comprises: an application interface module, which is used to receive a resource request sent by an application system, and when judging that the resource request is legal, sends the resource request to a resource management module; a resource management module, which is used to select a resource management sub-template for receiving a resource request according to the type of the resource request, and sends the resource request to a cluster interface module; a cluster interface module, which is used to forward the resource request to a corresponding Hadoop cluster according to the type of the resource request, and sends the resource request to a resource monitoring module. The present invention centrally and uniformly manages the resources of a Hadoop cluster or other open source software, improves the work efficiency of resource management, and reduces the operating cost of managing multiple clusters at the same time; realizes visual management of information such as users and tenants, simplifies the operation steps of resource management of a Hadoop cluster or other open source software, and reduces the risk of misoperation caused by manually executing commands.

The utility model discloses a digital intelligent early warning device based on optical fiber sensing and dumb resources. The digital intelligent early warning device comprises a power supply module, a positioning module, a communication module, a state monitoring module, a control module and an alarm module, the power supply module is connected with the positioning module, the communication module, the state monitoring module, the control module and the alarm module. The positioning module, the communication module, the state monitoring module and the alarm module are respectively connected with the control module; the communication module is also connected with an external monitoring center; the system has the advantages that data collection of the position and state of the optical fiber dummy resource is achieved through the positioning module and the state monitoring module, real-time monitoring is carried out, the collected data are transmitted to an external monitoring center through the control module and the communication module, and therefore visual management of the dummy resource is achieved, and the real-time monitoring of the optical fiber dummy resource is achieved. The defect that the whole process is time-consuming and labor-consuming due to the fact that resource census can only be performed regularly through manpower at present is overcome.

This application relates to the field of power switching technology, and discloses a firmware-controlled peripheral interface power adaptive switching system and method. The method involves: upon detecting a peripheral connection, providing a basic power supply voltage to the peripheral and initializing the UART serial communication interface; sending a model query command to the peripheral and extracting the peripheral model identifier string from the response frame to generate a relay control command; controlling a Darlington transistor array driver chip to drive the coil of a double-pole double-throw relay, switching the connection state of the relay's common terminal contact, and reading the voltage and current measurements of the peripheral; calculating the peripheral's power value, and encapsulating the power value and power supply mode status into a status data packet and transmitting it to the peripheral management software. This application transforms power supply configuration from hardware mechanical operation to firmware intelligent control, realizing plug-and-play, zero-error configuration, and visual management of peripheral power supply, reducing production costs and maintenance difficulty, and improving the intelligence level of peripheral interface power management.

The invention discloses a fabricated building design method based on BIM software, and relates to the technical field of building design. The method comprises the following steps: firstly analyzing fabricated building data, constructing a modular product library, calling the modular product library, carrying out modular processing to obtain a first fabricated BIM model, carrying out precision optimization and conflict detection on the first fabricated BIM model to obtain a second fabricated BIM model, extracting prefabricated parts and corresponding manufacturing information from the second fabricated BIM model, and carrying out modeling on the prefabricated parts and the corresponding manufacturing information. And generating digital processing data and a visual production instruction, pushing the digital processing data and the visual production instruction to a production management system of a prefabricated part factory, binding a unique identification code for a prefabricated part in the second assembly type BIM model, and calling installation information and updating a project state in a construction stage by scanning the unique identification code. According to the invention, the data flow from design to construction is broken through, the standardized, automatic and precise management of the whole process of the fabricated building is realized, and the construction efficiency and quality are remarkably improved.

The invention relates to the technical field of data management, and discloses a demolition visualization management method and system, and the method comprises the steps: obtaining the geographic information of a demolition object and the current demolition time; predicting a resident satisfaction coefficient through a resident satisfaction prediction model; calculating in combination with the demolition difficulty coefficient to obtain the demolition difficulty of the demolition object; dividing the evaluation grade standard according to the eigendemolition difficulty coefficient to obtain eigendemolition difficulty of the eigendemolition object; obtaining the predicted dismantling time of the dismantling object through the dismantling time prediction model; according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time of the demolition object, calculating the demolition progress of the demolition object; and constructing an individual interface and the region interface, and viewing the feature splitting information of the feature splitting object to realize visual management of the feature splitting information. According to the tampering and tampering visualization management method provided by the invention, the problem of low tampering and tampering data management efficiency is effectively solved.

The utility model provides a fruit and vegetable quality inspection table which integrates a workbench main body, a fixed panel, a cleaning unit, a weighing unit, a monitoring unit, an intelligent terminal and a power supply unit which are tightly matched to form an efficient quality inspection system. The working table main body bears each functional unit and provides an operation platform with reasonable layout; the clamping part of the fixed panel enables the functional hanging piece to be flexibly hung, so that the tool management is convenient; the cleaning unit and the weighing unit are arranged adjacently, and the operation process is optimized; the monitoring unit is linked with the intelligent terminal to realize visual management and data recording; the power supply unit provides stable power support and adapts to different scenes, the problems that a traditional quality inspection workbench is low in integration level and needs to be operated back and forth, manual recording is prone to errors and the like are solved, the quality inspection efficiency and accuracy are greatly improved, the data management and tracing capacity is enhanced, operation is more convenient and normative, diversified quality inspection requirements of fruit and vegetable delivery warehouses are met, and the product quality inspection efficiency is improved. The food safety and the sales quality are effectively guaranteed.

The application relates to the technical field of data governance, in particular to a distributed data governance system based on a new type of scheduling algorithm of a pipeline. The system comprises a basic framework unit, a pipeline scheduling unit, a unified service unit and a data management unit; the basic framework unit is used for managing a network framework supporting system operation; the pipeline scheduling unit is used for managing scheduling of an inter-process communication pipeline; the unified service unit is used for unified standardized management of data; and the data management unit is used for comprehensive governance of data. The application can realize distributed data governance, improve the fusion degree of the system and enhance the extensibility of the system; can improve the transmission effect of a data exchange process, improve the integrity and security of data; through centralized scheduling management of data, the framework is convenient for node expansion of the system, can support high-concurrency access of a large user, and can realize visual management of a data full life cycle, shorten a data management cycle and reduce cost waste.

This invention discloses an intelligent inspection grid positioning and data management method for large-area continuous engineering facades, relating to the field of engineering safety monitoring and inspection technology. It is particularly applicable to engineering facades with large areas, continuous surfaces, and lacking significant feature points, such as dam faces and engineering slope surfaces. The method includes: firstly, unified management of positioning and image data collected by intelligent inspection equipment, mapping the collected data onto an orthophoto map of the large-area continuous engineering facade to facilitate accurate location and tracking of defects during inspection; secondly, a grid-based representation method for surface defect data of large-area continuous engineering facades is proposed, establishing a grid-based defect data representation model for large-area continuous engineering facades to achieve standardized recording and efficient management of defect information.

The application discloses a kind of urban rail transit straight section line foreign matter invasion identification method, by setting up image detection device and radar detection device at the end of urban rail transit locomotive, for data acquisition;Then utilize train-mounted computing device to identify detection in real-time field of view image in acquisition data, obtain field of view image feature detection result;Real-time radar data is identified monitoring, and current radar detection foreign matter position is obtained;According to data synchronization frequency, the current radar detection object position after coordinate conversion and field of view image feature detection result are carried out target position fusion, and train-mounted foreign matter invasion detection result is obtained;Through train-ground wireless communication system, train-mounted invasion detection result is uploaded to foreign matter invasion detection center system, and real-time train position information K and radar detection object distance Δx are summed, and foreign matter position information K+Δx is calculated, combined with foreign matter invasion detection result, mapping alarm is carried out on the line diagram of foreign matter invasion detection center system.

The invention provides a cross-border e-commerce order management method and system, and the method carries out the classification, scoring and sorting of different orders based on a fuzzy hierarchy method, and comprises the following steps: obtaining the information of a login user, and carrying out the login recognition of the login user through an encryption method; customer data of a sales end are collected, different order indexes are classified, and each index of each order is scored; performing priority ranking on the orders based on a fuzzy analytic hierarchy process according to different order index classification scoring results; and according to the order priority ranking sequence, sequentially delivering goods from the most emergency order to the least emergency order. According to the invention, rapid processing of orders and efficient distribution of logistics can be realized, and unified high-quality services can be provided globally, so that the satisfaction and loyalty of users are enhanced.

The invention provides an intelligent measuring and matching platform for a railway wagon bearing rear bumper, which belongs to the field of railway wagon overhaul and comprises a rear bumper incoming material warehouse, a manual measuring platform, a man-machine interaction terminal, a contact type measuring system, a to-be-matched three-dimensional warehouse, an ink-jet printer, a rear bumper storage area, an electrical cabinet, a precise ground rail, an industrial robot and a clamping tool. The rear block incoming material warehouse, the precise ground rail and the electrical cabinet are sequentially arranged on one side of the overall working area, the contact type measuring system, the to-be-selected three-dimensional warehouse, the ink-jet printer and the rear block storage area are sequentially arranged on the other side of the overall working area, the manual measuring platform is arranged on one side of the rear block incoming material warehouse, and the man-machine interaction terminal is arranged on one side of the manual measuring platform. An industrial robot is arranged on the precise ground rail, and a clamping tool is arranged on the industrial robot. The device is used for detecting the overall dimensions and the shape and position dimensions of a plurality of groups of parts with the matching relation in the bearing parts of the railway wagon, and intelligent matching of industrial assembly bodies is realized.