87results about How to "Understand comprehensively" patented technology

The invention discloses a primary and secondary collaborative planning method based on a novel power distribution system, and relates to the technical field of power system optimization, and the method comprises the following specific steps: constructing a power distribution network model and fault feature analysis, designing an adaptive protection mechanism, realizing a rapid fault processing mechanism, and performing primary and secondary system collaborative planning. And implementing and verifying: implementing a planning method in the power distribution network, installing and debugging related equipment, carrying out field test, and verifying the effectiveness of an adaptive protection mechanism and a fault rapid processing mechanism, the running state of the power distribution network is monitored in real time, and the protection constant value is automatically adjusted according to the monitored fault characteristic parameters, so that the reliability of the power distribution network is improved. Therefore, the adaptive capacity of the system to a complex and changeable operation environment is remarkably improved, the dynamic adjustment mechanism can quickly respond to dynamic factors of new energy output fluctuation and load change, it is ensured that a protection strategy is always matched with the operation state of the system, and the problem of protection maloperation or operation refusal caused by rigid setting of a fixed value is effectively prevented.

The invention relates to a data mining method, a multi-modal data query method and a vertical domain knowledge question and answer method based on a knowledge graph. The mining method comprises the steps of generating a knowledge graph based on a first artificial intelligence model; inputting initial node information acquired by the knowledge graph into a second artificial intelligence model, wherein the second artificial intelligence model comprises a knowledge graph expansion unit, an abnormal node acquisition unit, a key node acquisition unit and a value mining unit; expanding expanded node information from the initial node information through a knowledge graph expanding unit, and respectively outputting the expanded node information to the abnormal node acquisition unit and the key node acquisition unit; and the abnormal node acquisition unit and the key node acquisition unit respectively output abnormal nodes and key nodes in the knowledge graph to the value mining unit, so that the value mining unit presents related information of the abnormal nodes and the key nodes.

The invention discloses a visual guide type tracheal intubation mirror system, relates to the technical field of guide type tracheal intubation mirrors, and aims to solve the problem of poor treatment effect of tracheal intubation. The constructed environment model not only comprises the diameter and the bending degree of the trachea, but also considers the surrounding tissue structure, so that a doctor can more comprehensively know the trachea and the surrounding environment of the trachea so as to make a more accurate decision, and the depth and angle information in the video image data is combined, so that the visual effect is improved. The real-time three-dimensional attitude of the intubation lens is estimated, the perception precision of the position and attitude of the intubation lens is improved, misoperation can be avoided, the structured light scanning method is combined with depth information and image coordinates for reconstruction, and compared with a traditional method, a three-dimensional model can be generated more quickly, the data quality of video data can be monitored in real time, and the real-time three-dimensional attitude of the intubation lens can be monitored more accurately. And the accuracy and stability of data are ensured. Therefore, data quality problems can be found and solved in time, and errors in subsequent diagnosis or treatment are avoided.

The invention relates to an intelligent neural navigation system for neurosurgery and a use method thereof.The intelligent neural navigation system comprises an image collecting and processing unit, an intelligent planning unit, a positioning and tracking unit, a visual interaction unit and a data management and updating unit. The optimal operation scheme is selected through operation simulation operation, so that a doctor is helped to master the condition of a patient more clearly, personalized adjustment can be carried out in real time, the operation scheme better fits the actual condition of the patient and the operation habit of the doctor, and the success rate and the quality of an operation are improved. Meanwhile, an optical positioning sensor and an electromagnetic positioning sensor are integrated, accurate position information of the surgical instrument and the area, needing to be treated, of the patient is obtained in real time, operation of the surgical instrument is accurately guided, then it is ensured that the surgical instrument is accurately matched with the preoperative planned path, and mistaken damage to surrounding normal tissue in the surgical process is reduced; and the accuracy and the safety of the operation are improved.

The invention discloses a CLCC converter multi-source information carrier construction method and system based on a knowledge graph, and the method comprises the steps: obtaining related data of a CLCC converter, and constructing and storing triple information in an entity-attribute-attribute value manner based on the data; constructing a knowledge hierarchical structure of the converter based on the converter equipment entity; constructing a knowledge graph of the converter multi-source information based on knowledge fusion, and establishing knowledge relationship connection and knowledge fusion; dynamic circulation of CLCC transverter transparent information is realized based on a knowledge hierarchical structure of CLCC transverter multi-source information; and carrying out network topology modeling on the knowledge graph of the CLCC converter by using the graph database, and constructing a transparent information carrier of the CLCC converter. According to the method, the problems that the CLCC multi-source operation and maintenance information processing efficiency is low, the fragmentation problem is serious, the data structure, the technical architecture, the construction standard and the construction content are not uniform, and an effective data organization framework is difficult to form are solved.

The invention discloses an offshore bridge construction safety risk identification method based on text mining and an N-K-SNA model, and the method comprises the steps: 1) obtaining an offshore bridge construction accident report, and carrying out the preprocessing of the accident report, and obtaining an accident report text; 2) respectively adding the accident report text into a special dictionary for offshore bridge construction and a stop word dictionary, and then carrying out word segmentation to obtain the accident report text after word segmentation; 3) carrying out keyword information extraction on the report text subjected to word segmentation by utilizing a TF-IDF (Term Frequency-Inverse Document Frequency) algorithm; 4) combining the keywords into risk factors, and dividing the risk factors into four categories of personnel, articles, environment and management factors; 5) carrying out statistics on risk coupling types and occurrence frequencies of the collection cases, and calculating a coupling value of a target risk coupling mode by using an N-K model; 6) constructing a risk factor mutual occurrence matrix, generating a risk factor network, and analyzing the centrality and accessibility of network nodes through an SNA model; and 7) fusing the N-K model and the SNA model, and identifying key risk factors of offshore bridge construction.

The invention relates to the technical field of data processing, in particular to an anomaly identification method, device and equipment for urban rail vehicle trend data, and the method comprises the steps: determining a difference value between time adjacent data in a trend data set of a target category; determining whether single-point mutation exists or not according to the obtained difference value sequence; performing feature calculation on multiple pieces of data in each sliding window of the trend data set to obtain a first feature set; determining whether continuous mutation exists or not according to the first feature set corresponding to the adjacent sliding windows; performing feature calculation on multiple pieces of data of the target sliding windows of the trend data sets corresponding to the multiple positions to obtain second feature sets corresponding to the multiple positions; according to the corresponding data of the second feature set and the trend data set, whether the same-condition comparison significant difference exists or not is determined; and generating an abnormal result according to the three results. According to the method, various abnormal conditions in the data are considered, category division is carried out, and the analysis mode is simple and reliable.

The invention discloses an IECMS (International Electrotechnical Commission Mass Spectrometry) method for an endometrial cancer pathological image, and the method comprises the steps: constructing a pathological data set, carrying out the data preprocessing, extracting a region of interest of endometrial cancer according to a marker file, segmenting the region of interest into a plurality of instances, and carrying out the Vahadane color normalization technology for all instances, so as to ensure the color consistency of different instances; using a VMama feature extraction model to extract features of each instance; combining instance features in the region of interest ROI into packet-level features; converting the packet-level features into two-dimensional masked instance features through a dynamic mask strategy DMS module; learning correlation among instances through a context instance learning module CILM to obtain a feature fused with multiple kinds of context information, and converting the feature fused with multiple kinds of context information from a two-dimensional instance feature into a one-dimensional feature to obtain a packet-level mosaic feature; and classifying the packet-level mosaic features by using a multi-layer perceptron, and outputting a prediction result. According to the method, the context information can be better and more comprehensively understood.

The invention provides a flexible trailer detection method and system based on monocular vision. The method comprises the steps that monocular vision information and 3D point cloud information of a trailer are obtained respectively; information fusion is carried out on the monocular vision information and the 3D point cloud information to obtain image information, and the image information at least comprises posture, position and motion state information of the flexible pull part; performing feature extraction and target detection on the image information to obtain target information of the flexible pull part; monocular direction estimation of a front pose is carried out on the target information, and pose information of the flexible pull part is obtained; and performing path planning and decision adjustment based on the pose information in combination with the dynamic change of the front vehicle, and generating a control instruction to control vehicle tracking. According to the invention, the high-efficiency detection of the flexible towed object is realized by using the monocular vision technology, and the safety and the operation efficiency of the towed vehicle are improved.

The invention discloses an unmanned aerial vehicle cluster target tracking method based on an observer and a hierarchical network. The method comprises the following steps: 1) dividing unmanned aerial vehicles in an unmanned aerial vehicle cluster into three roles: a leader, a follower and an observer; n unmanned aerial vehicles form a multi-agent system, in the system, each unmanned aerial vehicle serves as an independent agent, and the multi-agent system is responsible for the whole unmanned aerial vehicle group to form an ordered formation through a leader-follower-observer model; 2) introducing a two-layer combined unmanned aerial vehicle network model, and establishing a flight ad hoc network responsible for communication in unmanned aerial vehicle cluster target tracking; and 3) after the unmanned aerial vehicle cluster realizes formation control, target tracking is carried out, and effective tracking of a single target or multiple targets is realized. According to the method, the observer concept is introduced to realize effective formation control of the cluster, so that the unmanned aerial vehicle group can more comprehensively understand the surrounding environment and make corresponding adjustment in time, and the overall maneuverability and flexibility of the unmanned aerial vehicle group are improved.

A method for investigating buildings with illegal stock based on mass data relates to the technical field of geographic information, and is characterized by comprising the following steps: defining illegal buildings; comparing the data; analyzing and collecting data; making data; judging data; correcting and checking the data; summarizing, analyzing and evaluating; and feeding back reminding. The method has the advantages that the change area of the building is quickly identified by using the orthoimage, and the point cloud data is used for building investigation without on-site investigation, so that the identification and investigation efficiency and speed are greatly improved; the form and position information of the building can be accurately captured through the point cloud data, and compared with traditional two-dimensional image analysis, higher precision and accuracy are achieved; through combination of examination and approval data judgment and management right judgment and verification, higher authority and recognition degree are achieved; carrying out all-around analysis display and passing; and a visualization technology assists decision support.

The invention discloses a production operation and inspection cost pricing system improvement method based on cost benefit analysis, and relates to the technical field of cost pricing, and the method comprises the following steps: collecting cost data in a production operation and inspection process, and dividing the collected cost data into direct cost and indirect cost; based on a cost-benefit analysis method, performing systematic evaluation on the collected cost data, calculating economic benefit indexes of various costs, and comprehensively comparing the costs and benefits to obtain a cost-benefit coefficient; according to the cost-benefit coefficient and the economic benefit index, a production operation and inspection cost pricing model is constructed based on an operation cost method; a dynamic adjustment mechanism is established, and relevant parameters and indexes in the cost pricing system are updated and adjusted regularly. According to the invention, by establishing a dynamic adjustment mechanism, related parameters and indexes in the cost pricing system are updated and adjusted regularly, and the accuracy and practicability of the cost pricing model are ensured.

The endometrial cancer transvaginal examination device comprises an ultrasonic examination trolley, a cable is slidably connected to the side face of the ultrasonic examination trolley, an examination device shell is arranged at one end of the cable, a push block is slidably connected to the examination device shell, a rack is fixedly connected to the lower portion of the push block, and a common gear is slidably connected to the side face of the rack; the side face of the common gear is fixedly connected with a second bevel gear, the second bevel gear is in meshed connection with a first bevel gear, and one side of the first bevel gear is rotationally connected with an inspection ball. According to the multi-angle ultrasonic examination instrument, ultrasonic waves are emitted through multi-angle rotation during an operation, direct compression and unnecessary rotation actions on the interior of the vagina are reduced through the design, the comfort degree of a patient in the examination process is improved, meanwhile, the examination accuracy is improved through multi-angle ultrasonic wave emission, and a doctor can know the condition in the uterus more comprehensively.

The invention provides a fan state detection method and device and a server. According to the method provided by the invention, the running state of the fan is obtained, the state of the fan is classified more meticulously and richer based on the running state, the precision is more accurate and more meticulous, and an administrator can capture different types of problems more accurately through more accurate fan state judgment; therefore, the specific state of the fan can be mastered more clearly, and an administrator can locate problems more quickly and accurately and take corresponding measures conveniently. In addition, by subdividing the state of the fan, a more refined preventive maintenance strategy can be realized, potential problems can be found and solved in time, the fault risk of the server is reduced, and the stability and reliability of the system are improved. And finally, subdividing the fan state is beneficial to improving the overall server management and maintenance level, so that a manager can more comprehensively understand the server state and make a more intelligent decision, thereby improving the performance and availability of the whole server system.

The invention relates to the technical field of intelligent early warning of behaviors, and particularly discloses an intelligent early warning method for on-site behaviors of an infrastructure line operator, and the method comprises the steps: judging whether a high-definition camera and a sensor arranged on an infrastructure line operation site are reliable or not, and combining the illumination intensity of the infrastructure line site, matching an intelligent early warning deviation factor of the behaviors of the infrastructure line, and carrying out the early warning of the behaviors of the infrastructure line; the method comprises the following steps: extracting an action analysis factor, a position analysis factor and a behavior abnormal degree factor of an operator site, determining an intelligent early-warning level of the field behavior of the infrastructure line operator, recording a response condition after intelligent early-warning of the field behavior of the infrastructure line operator, and evaluating an intelligent early-warning effect of the field behavior of the infrastructure line operator. The problems that traditional safety management mainly depends on manual supervision, and traditional intelligent early warning data processing capacity and dynamic response capacity of on-site behaviors of capital construction line workers are insufficient are solved, early warning is more scientific and accurate, and personalized early warning can be achieved easily.

The invention relates to a quantitative evaluation method for a data asset management value. The method comprises the following steps: S1, calculating a business case data asset management income; s2, calculating normalized data asset management income based on the data item single call RTB income and call times; s3, calculating business case data asset management cost and normalized data asset management cost; and S4, calculating a data asset management value, a business case data asset management value and a normalized data asset management value. Compared with the prior art, the method has the advantages of quantizing the data value and the like.

The invention discloses an intelligent digital generation system based on movie and television animation costume modeling design, which relates to the technical field of artificial intelligence and comprises a database and knowledge base module, a design input module, an intelligent design module, a modeling and rendering module and a virtual reality display module. The database and knowledge base module is used for recording information data of various costume styles, materials and processes to construct a costume design database and knowledge base and supporting retrieval and reuse of design schemes. According to the digital generation system provided by the invention, through an intelligent digital generation process, the costume design time is remarkably shortened, a designer can quickly import concepts and elements, and the system automatically generates a scheme, so that the time and energy required by hand drawing are reduced. And design details are accurately presented by using a computer graphics technology and algorithm, so that the problem of insufficient precision of hand drawing is avoided. AI auxiliary generation of materials is supported, a reuse scheme is retrieved from a database, rich inspiration resources are provided, and a more innovative design is created.

The embodiment of the invention discloses an intelligent contract processing method and device, equipment, a medium and a product, and the method comprises the steps that a block chain node executes a transaction request which is sent by a contract user and is used for calling a target intelligent contract, and the transaction request comprises contract parameters of the target intelligent contract; if the transaction request fails to be executed, obtaining error information returned by the target smart contract; according to contract parameters corresponding to the target smart contract, calling a contract analysis model to analyze the error information to obtain error supplementary information; and generating response information according to the error information and the error supplementary information, and sending the response information to the contract user. According to the technical scheme provided by the embodiment of the invention, the error can be more comprehensively known, the understanding of the contract user on the error can be improved, and the error can be better processed.

The finger tip non-invasive continuous vital sign monitoring equipment comprises a shell, a screen, a switch key, a blood pressure measuring key and a blood oxygen measuring key are arranged on the front face of the shell, and a controller is arranged in the shell. The screen, the switch button, the blood pressure measuring button and the blood oxygen measuring button are all electrically connected with the controller; the positioning cylinder is arranged at the top of the shell, and an opening is formed in one side of the positioning cylinder and used for allowing a finger to be inserted therein; the end cover is arranged at the tail end of the positioning cylinder, and when a finger is inserted into the positioning cylinder, the fingertip extends into the end cover; the blood pressure measuring assembly is used for detecting finger tip blood pressure; the blood oxygen measuring assembly is used for detecting blood oxygen. The finger tip non-invasive continuous vital sign monitoring equipment and the control system thereof can continuously monitor the blood pressure and blood oxygen of the finger tip of a human body, and are convenient to use.

The invention discloses a waste gas treatment method for environmental engineering, which relates to the technical field of waste gas treatment and comprises the following steps: waste gas collection, waste gas detection, and evaluating the pollutant concentration through a waste gas detection algorithm to obtain a pollutant index, judging whether waste gas pretreatment is needed according to the pollutant index, waste gas pretreatment, pretreatment evaluation, using a pretreatment evaluation algorithm to quantitatively evaluate the waste gas pretreatment effect to obtain a pretreatment score, waste gas main treatment, main treatment evaluation, using a main treatment evaluation algorithm to quantitatively evaluate the waste gas main treatment effect to obtain a main treatment score, and having the ability to judge whether pretreatment is needed according to the pollutant index, and adjusting the treatment process according to the waste gas situation to improve efficiency, and realizing quantitative evaluation of the waste gas treatment effect by setting the scoring thresholds of the pretreatment and the main treatment, so as to help managers quickly understand the waste gas treatment status, reduce emission deviations, and reduce environmental risks.

An Internet-based intelligent operation and maintenance management system for a smart park relates to the field of park operation and maintenance technology, including an intelligent operation and maintenance management platform, wherein the intelligent operation and maintenance management platform is communicatively connected with a data acquisition module, an operation visualization module, an identity authentication module, and a service request feedback module; the data of each Internet of Things monitoring node and a user terminal of the target park are collected and encrypted and uploaded to the intelligent operation and maintenance management platform; a digital twin model of the target park is constructed; the user's identity is authenticated according to the identity authentication data of the user terminal; the current scene information of the digital twin model is constructed, and the digital twin model is monitored in real time. At the same time, the real-time monitoring results are corrected according to the service request data of the safety situation report type, and the recommended driving route is fed back for the service request data of the traffic recommendation type. If the recommended driving route does not meet the requirements, the user feature matching mechanism is started to generate the best driving route, thereby improving the efficiency of park management and user experience.

The present invention relates to the field of popular science education technology, and in particular to a solar telescope exhibition system and method for automatically adjusting display modes. A solar telescope exhibition system and method for automatically adjusting display modes include a handheld electronic device, a control computer, an imaging display device, an audio playback device, a lighting component, and an infrared detection device. The handheld electronic device, the imaging display device, the audio playback device, the lighting component, and the infrared detection device are electrically connected to the control computer. The present invention can use sound, light, images, etc. to monitor the structure of the solar telescope, the back-end instruments of the solar telescope, and the scientific-level images collected by the solar telescope, and ensure that the display content of the solar images viewed by tourists remains unchanged, thereby realizing automatic adjustment of the exhibition mode according to the density of the flow of people in the exhibition hall, realizing intelligent crowd guidance, and alleviating the crowd congestion in the exhibition hall.

The invention relates to the field of aperture measurement, and discloses an aperture measurement method for pore-forming construction, which comprises the following steps: according to a pre-configured construction scheme, pore-forming construction is performed on a construction site by using a drilling device to obtain an initial pile hole, the pile hole is used for cast-in-place pile construction, and the construction scheme comprises a target construction size; a detection arm extends into the pile hole, a plurality of sensors are installed at the front end of the detection arm, and the sensors comprise a distance measuring instrument and an angle measuring instrument; according to the field geological data of the construction field, an aperture measurement scheme is generated, the aperture measurement scheme comprises a plurality of aperture measurement position information two-tuples, and each aperture measurement position information two-tuple comprises a measurement height and a measurement angle; the detection arm is controlled to execute the aperture measurement scheme, a plurality of measurement results are obtained, and each measurement result comprises a forward measurement value and a reverse measurement value; aperture measurements are generated from the plurality of measurements. Therefore, the accuracy of the pore-forming construction pore diameter measurement result is improved.

The application discloses a brain glioma segmentation and three-dimensional visualization model training method and system based on multi-modal fusion, and comprises the following steps: inputting multi-modal medical image data into a Laplacian pyramid multi-modal fusion learning model to generate a fusion graph, then inputting the fusion graph into a U-net segmentation model comprising an encoder and a decoder to obtain a segmentation mask under the multi-modal fusion graph; and finally, based on the multi-modal fusion graph and the segmentation mask, adopting a Marching cubes (MC) algorithm to perform three-dimensional reconstruction visualization of brain regions and brain tumor region labeling. The brain glioma segmentation and three-dimensional visualization model training method and system based on multi-modal fusion provided by the application optimizes the disadvantages of insufficient information and incomplete modeling under single modal, fully utilizes the advantages of the completeness of multi-modal data, performs multi-modal fusion, segmentation and three-dimensional visualization, can more comprehensively assist surgeons in treatment, and improves the accuracy in the operation process.

The invention relates to the multi-element field of performance art, in particular to a full-dimensional digital performance visual preview system. Comprising rehearsal design software Depence, a conceptual design module, a complete system building module, a DMX / RDM control module, an equipment debugging and programming module, a construction drawing making module, an Exce l export and document module, a DMX-I n control input module, a 3D visualization module, a full visual element real-time simulation rehearsal module, a simulation animation effect picture module and a real-time performance simulation module. And a 4k high-definition animation effect module is provided. According to the method, the efficiency of performance visual design is improved, so that the labor cost and trial-and-error cost are reduced; collaboration among design departments is enhanced, and perfect presentation of a visual effect is ensured; the requirements on rehearsal talents and computer equipment hardware are reduced, and the application range of the system is expanded; visual elements and entity equipment are comprehensively integrated, and the artistic effect is improved; a plurality of preview display modes are provided, and the user experience is enhanced.

The utility model relates to the technical field of curtain walls, and discloses a rural tourism culture display curtain wall which comprises a wall body, a first mounting frame is arranged on the front side of the wall body, a second mounting frame is arranged on one side of the first mounting frame, and display mechanisms are arranged in the first mounting frame and the second mounting frame. And a plurality of fixing assemblies are arranged on the outer sides of the first mounting frame and the second mounting frame. According to the utility model, the rotating shaft is driven by the two rotating motors to rotate, the rotating shaft drives the curtain to rotate synchronously, and in the rotating process of the curtain, a plurality of different rural scenic spot maps on the curtain can be circularly displayed in the glass plate, so that the charm of rural culture is fully displayed, and visitors can more comprehensively know the village style.

The invention discloses a frontal line identification method based on the Yunnan and Guizhou plateau ground, and the objective discrimination method of the frontal line of the Yunnan and Guizhou plateau ground is suitable for various stations and grid point data, can be used for real-time data analysis, and can also be used for various numerical forecasting products. Compared with a traditional frontal surface analysis method, the method has the advantages that the ground frontal lines are determined through linear fitting, the characteristics of movement, cooling and heating and the like of the frontal surface can be objectively given on the basis that the trend and the position of each frontal line are objectively given, and on one hand, the dynamic evolution rule of a quasi-static peak is objectively expressed; and on the other hand, by comprehensively analyzing various factors such as the movement condition of the frontal line, the variable temperature and variable pressure near the frontal line and the like, a foundation is laid for synthetically analyzing a three-dimensional circulation structure and more comprehensively and systematically knowing the complete structure, category characteristics and associated refined weather evolution of the frontal surface.

The invention discloses a higher vocational nursing skill competition scoring system based on an attribute hierarchy model, and particularly relates to the field of education evaluation, and the system comprises a nursing skill index collection module, a nursing skill scoring hierarchy construction module, a nursing skill score collection module and a man-machine interaction module. According to the method, the nursing skills of the participating students are scored by establishing the nursing skill scoring hierarchical structure, the relative importance among the nursing skill scoring indexes is compared, the judgment matrix is established based on the nursing skill scoring hierarchical structure, and the index weight of the judgment matrix is calculated; a nursing skill comprehensive scoring model is established according to the index weight to obtain a nursing skill comprehensive score, and a scoring result can be fed back to participants through an attribute hierarchy model to help the participants to understand the performance in each attribute aspect, so that targeted improvement is carried out, and the experience of the participants is improved. Meanwhile, schools and teachers can comprehensively and objectively understand the performance of the competitors, and scoring deviation caused by subjectivity is avoided.

The present invention relates to the field of medical information processing technology, and in particular to a method and system for automatically extracting knowledge in the field of critical illness. The method comprises the following steps: constructing a critical illness ontology in the field of critical illness to obtain a critical illness ontology data set; performing high-attention ontology mining on the critical illness ontology data set to obtain a high-attention ontology data set; performing topic consistency link analysis based on the high-attention ontology data set to obtain a potential critical illness knowledge source set; performing temporal knowledge fluctuation analysis on the potential critical illness knowledge source set to obtain a dynamic knowledge update time span data set; performing frontier knowledge source hierarchical screening on the potential critical illness knowledge source set based on the dynamic knowledge update time span data set to obtain a critical illness frontier dynamic knowledge source set. The present invention reduces the burden of manual search and literature reading, and improves the efficiency and comprehensiveness of knowledge acquisition.

The utility model relates to a production data management system of an automobile assembly line and an automobile production workshop, and belongs to the technical field of automobile assembly data processing. The production data management system comprises an assembly data acquisition module, a data forwarding module and a real-time display module which are arranged in an automobile assembly area, a data storage module and a data analysis module which are arranged in a machine room, and a data export module which is arranged in an office area, wherein the assembly data acquisition module comprises an identification module, a process data acquisition module and an assembly quality inspection module; production data are acquired in real time through the identification module, the process data acquisition module and the assembly quality inspection module, and the generated data are displayed on the real-time display module in a manner of facilitating viewing, so that workers in an automobile assembly area can see the real-time production data of an assembly line; and real-time production data can be checked or exported through the data export module, so that an automobile assembly line can be comprehensively understood, and the whole-process tracking and monitoring of the assembly process are realized.