565 results about "Industrial Factory" patented technology

AI-driven predictive maintenance system (100) for industrial plants, including: a multitude of sensors (101) configured to collect real-time operational data from components of the industrial plant, the data including at least one of the following elements: vibration, temperature, pressure and rotational speed; a preprocessing unit (102) configured to filter and clean the operational data to remove noise and inconsistencies; a deep learning engine (103) comprising a neural network model (103a) trained on historical operational data and failure events, wherein the deep learning engine is configured to analyze the real-time operational data and detect anomalies that indicate an impending equipment failure; a prediction module (104) configured to generate risk values ​​based on the detected anomalies, the risk values ​​indicating the probability of equipment failure within a specific time frame; a maintenance optimization unit (105) configured to recommend a maintenance plan based on the generated risk assessments, thereby minimizing downtime and optimizing equipment maintenance; a user interface (106) configured to display the status of the equipment, risk assessments and recommended maintenance measures for the operators.

An automation system controls an automated production process of an industrial plant. The system includes an augmented reality system, including augmented reality glasses and executable program logic coupled to the augmented reality glasses. The executable program logic is configured to receive an up-to-date spatial position of a user wearing the augmented reality glasses from a positioning system, determine coordinates of a bounding space proximate to the user wearing the AR-glasses, display one or more virtual objects to the wearer of the AR glasses via the AR glasses if and only if coordinates of the virtual objects are within the bounding space, and continuously update the coordinates of the three-dimensional bounding space and the virtual objects displayed therein as a function of the up-to-date spatial position of the user wearing the AR glasses.

An automation system controls an automated production process of an industrial plant. The industrial plant includes a plurality of equipment for performing the production process. The automation system includes an augmented reality system including augmented reality glasses, executable program logic and a database system including a task manager configured to store a list of processes associated with respective equipment, where each process includes one or more tasks to be performed with respect to the equipment. The executable program logic is configured to receive from the database system the list of processes for display to a user of the AR glasses, receive a selection of a displayed process assigned to the user, send the selected process to the database system, and receive from the database system additional data corresponding to the selected process.

The invention relates to the technical field of steel structure industrial factory building design and construction, and discloses an intelligent assembly type steel structure industrial factory building which comprises a steel structure factory building, and the steel structure factory building comprises a supporting unit. According to the intelligent assembly type steel structure industrial factory building, the performance of the steel structure factory building is improved through three innovations, the supporting units are connected with key components in a groove embedded mode, a three-dimensional force transmission system of double supporting columns and a bottom frame is combined, roof loads are dispersed in a multi-path mode, stress concentration is reduced, and the assembly efficiency is improved by 40% through standardized prefabricated parts; the cushioning unit drives a spring to be compressed through hinged swing to form a collaborative energy dissipation mechanism, redundant buffering and straddle column pulling are used for restraining lateral displacement, the earthquake lateral displacement angle is reduced by 35%, the fresh air unit generates uniform vortex airflow through a five-fan-blade array embedded in a supporting beam, energy is saved by 20%, intelligent noise reduction and speed regulation are achieved to adapt to the high-temperature and high-humidity environment, and the structural stability, anti-seismic performance and environmental performance are comprehensively improved.

The invention discloses an explosion venting test system and method for simulating accidental explosion of an industrial factory building structure, and belongs to the technical field of explosion test systems. The problems that the structure configuration of an existing explosion venting test platform is difficult to adjust, the arrangement flexibility of explosion venting measures is low, and the universality of the test platform is poor are solved. A T-shaped groove rigid platform of the foundation system is installed on a box type foundation, a plurality of structural columns of the assembly type structural system are connected with the T-shaped groove rigid platform in a matched mode, every two adjacent structural columns are connected through an inter-column connecting beam, and an assembly type wall body and a closed wall body are connected with the structural columns in a matched mode. An explosion space is defined by the assembly type wall bodies and the closed wall bodies, high-energy explosives of the explosion source control subsystems are arranged in the explosion space, the roof panels are installed on the assembly type wall bodies and the closed wall bodies, and explosion venting parts are machined on the assembly type wall bodies and the roof panels. According to the explosion venting test system, the structure size can be freely changed according to needs, and the convenience and universality of the explosion venting test are improved.

The invention discloses a multi-layer concrete structure construction method based on an embedded support shaped like a Chinese character'tu ', belongs to the technical field of building construction, and solves the problems of overall displacement and out-of-control precision caused by the fact that the bottom of a supporting system is not firmly fixed in traditional multi-layer concrete construction. According to the technical scheme, the method comprises the steps of firstly manufacturing a steel bar welded support shaped like a Chinese character'tu '; pre-burying the support system in lower-layer concrete to serve as a bottom fixing point of a vertical rod of the support system; a supporting system vertical rod is detachably connected with the top of the support; concrete is poured after the formwork is installed and adjusted; cutting the exposed part of the bracket after the concrete is hardened; and repeating the steps to finish multi-layer construction. According to the method, through the rigid pre-embedding and detachable connection design of the support shaped like the Chinese character'tu ', the stability and positioning precision of a supporting system are ensured, and the method is mainly used for rapid and high-precision construction of cast-in-place concrete structures such as high-rise buildings or multi-layer industrial factory buildings.

The utility model discloses a doffing structure of a circular knitting machine, which comprises a rack, the rack is provided with a channel, an opening and closing device and a material guiding device, the material guiding device comprises a first material guiding frame and a second material guiding frame, the opening and closing device comprises a lifting unit, a panel and a door curtain, the door curtain is provided with a first end and a second end, and the lifting unit is connected with and drives the door curtain. The door curtain opens and closes the channel from the position of the second end to the position of the first end. The lifting unit is arranged to drive the door curtain to ascend and descend so as to open the channel, compared with a traditional outward door opening mode, the door curtain which ascends and descends is small in occupied space, operation intensity of the door curtain is reduced, time consumption is reduced, the effects of guaranteeing production efficiency and improving use safety can be achieved, and the lifting door curtain is more suitable for being used in small industrial factory buildings. Meanwhile, by arranging the material guiding device, the cloth of the circular knitting machine can be more automatically guided, workers do not need to enter the bottom of the circular knitting machine to take the cloth, the workload of the workers is reduced, the working efficiency is improved, and potential safety hazards are also reduced.

A method for supporting troubleshooting software and hardware issues in a distributed control system (DCS) associated with an automation equipment in industrial plant includes monitoring data; detecting an anomaly in the monitored data based on predetermined anomaly detection rules; based on a result of the detecting, performing, for a detected anomaly, a similarity search on historic anomaly data associated with the DCS and / or the automation equipment; based on a result of the performed similarity search, querying a large language model (LLM) for diagnosis and / or recommendation for troubleshooting the detected anomaly; based on the querying, obtaining an output from the LLM, wherein the output is indicative of a diagnosis and / or recommendation for troubleshooting the detected anomaly; and providing the output to a user.

A computer-implemented method for generating control code for actuating an asset in an industrial plant to perform a given task includes obtaining candidate control code from an automatic code generator based at least in part on the given task; performing code validation on the candidate control code to determine whether it is capable of being executed, and / or capable of being compiled for execution; after successful code validation, determining whether execution of the candidate control code is capable of actuating the asset to perform the given task by executing the candidate control code in a simulation environment; and when this determination is positive, determining the candidate control code as the sought control code.

The invention discloses a fabricated concrete industrial factory building structure, and relates to the technical field of industrial factory buildings. The assembly type concrete industrial factory building structure comprises a plurality of layers of laminates, the laminates are connected and supported through prefabricated concrete stand columns, each layer of laminate comprises a frame built through a concrete steel structure and a pavement structure laid on the top of the frame, and the frame comprises concrete cross beams, concrete longitudinal beams and concrete secondary beams. The concrete cross beams, the concrete longitudinal beams and the prefabricated concrete stand columns are perpendicularly connected through the main nodes. Concrete and I-shaped steel are combined and poured into a firmer beam column, stable installation and connection can be achieved only by using main joints and secondary joints to be matched with bolts at the connecting positions of all the parts, then a small amount of welding is conducted, more stability is achieved, the construction efficiency is high, follow-up dismantling work can be conveniently conducted, and the top surface layer is spliced through non-rib-out laminated plates, so that the construction cost is reduced. And then the concrete pavement is paved, so that the construction is relatively simple and rapid.

The invention relates to the technical field of industrial factory monitoring, in particular to a cloud-side collaborative factory digital twin monitoring modeling method and system. The method comprises the following steps: collecting communication link data and space coordinate data to construct a factory topological structure diagram and construct a factory digital twin monitoring model; based on the nested graph neural network, comparing existing and historical factory topology structure diagrams to obtain a factory topology difference structure diagram, and performing structure mapping consistency verification on the factory topology difference structure diagram by using a structure mapping residual function to generate an entity equipment structure change event set; obtaining a changed entity equipment operation state data set, and generating a factory performance offset index set; and the changed physical equipment and other physical equipment directly connected with the changed physical equipment in the factory are monitored. The invention provides a digital twin monitoring modeling method for a cloud-side collaborative factory, which integrates space structure information and communication link characteristics, has a dynamic self-adaptive capability, and realizes real-time state monitoring of the factory.

The present teachings relate to a method comprising: receiving at a user container runtime environment, via a container registry, an image of an obfuscated containerized model of an asset; wherein the containerized model comprises an API, and wherein the containerized model has been generated in a supplier runtime environment located within a supplier network environment, interfacing, with a model execution logic, the API of the containerized model image, wherein the interface comprises a process data signal that is transmitted to the API of the model image, and a model result data signal that is transmitted from the API of the model image; wherein the process data signal comprises data related to the usage conditions of the asset, and the model result signal is indicative of the response of the asset to at least some of the usage conditions, wherein the user container runtime environment is located within a user network environment which is isolated from the supplier network environment. The present teachings also relate to a method for transmitting a model of an asset, a method for transmitting an augmented model, a computer software product and a computer network arrangement.

The invention discloses a modeling and control method and system for industrial factory building air conditioner load optimization prediction. The method comprises the steps that indoor and outdoor parameter data of an air conditioner system in each area of an industrial factory building are collected; according to a thermal comfort index-predicted average value pwv model and the parameter data, determining the thermal comfort of each area; according to the thermal comfort degree state of each area of the industrial factory building, a preset event triggering control strategy and a controller, the control strategy of the current air conditioner and the state of the controller are determined; according to the current control strategy of the air conditioner and the state of the controller, an intermittent control strategy of the controller is determined, and the intermittent control strategy is divided into a control interval and a non-control interval; and inputting the data of the control interval and the non-control interval into a pre-constructed physical information neural network model to obtain the predicted energy consumption of each area of the industrial factory building. And the air-conditioning system load prediction level is effectively improved.

Embodiments of the present disclosure relate to systems and methods according to LLM-based agent groups for generating and enhancing engineering data funnel outputs. A method of obtaining a target structured information representation from one or more documents indicating the same process plant by using an interactive large language model (LLM)-based agent group in the context of an industrial plant is disclosed. The method includes obtaining at least one of the one or more documents at the LLM-based agent group. Each LLM agent from the group of LLM-based agents is given a task and a role, and is associated with one or more data processing tools from a set of predetermined data processing tools based on the given task and role. The method includes: selecting two or more LLM-based agents from a group of LLM-based agents for processing the document; processing the document by one of the selected two or more LLM agents, and outputting a structured information representation as a result of the processing; causing the selected two or more LLM agents to interact with the structured information representation based on a task and a role given to the selected two or more LLM agents; and obtaining a target structured information representation based on a result of the interaction.

The invention provides a direct-current bus type electric vehicle charging system with a source-load-storage cooperative management capability, and belongs to the technical field of electric vehicle charging. Comprising an interface connected with a medium and low voltage power distribution network, a bidirectional AC / DC converter, a common DC bus, a plurality of bidirectional DC / DC converters and a plurality of unidirectional DC / DC converters, the medium and low voltage power distribution network is connected with the AC side of the bidirectional AC / DC converter through a transformer, and the bidirectional AC / DC converter realizes conversion between AC and DC; the direct current side of the bidirectional AC / DC converter is connected to each bidirectional DC / DC converter and each unidirectional DC / DC converter through a common direct current bus; the system takes a direct current bus as a core, has the technical advantages of bidirectional energy flow, modular expansion, multi-scene flexible deployment and the like, and is suitable for various typical application scenes such as intelligent buildings, residential parks, industrial factory areas, micro-grids, power grid energy storage nodes and the like; the defect that an existing electric vehicle charging system cannot be cooperatively managed with a comprehensive energy system can be effectively overcome.

A computer-implemented method and system for performing one or more AI techniques on data captured from an Industrial Automation Control Systems (IACS) system, wherein the IACS is associated with at least one industrial plant. Data is captured from the IACS relating to each of a plurality of assets associated with the at least one industrial plant. The captured IACS data is analyzed to determine a plurality of assets associated with the at least one industrial plant contained in the captured IACS data, and metadata respectively associated with each determined asset. An electronic data repository is generated that provides an electronic inventory for each of the plurality of assets and associated metadata. An AI engine coupled to the electronic data repository, performs one or more AI techniques on the plurality of assets and the metadata respectively associated with each determined asset, to perform a certain task.

The invention discloses a fabricated steel structure industrial factory building structure, and relates to the technical field of concrete structure factory buildings. The assembly type steel structure industrial factory building structure comprises a plurality of layers of horizontal steel structure frames, all the layers of horizontal steel structure frames are connected through stand columns, the horizontal steel structure frames are rectangular frames formed by perpendicularly connecting the ends of a plurality of steel main beams, and a plurality of steel secondary beams are connected to the inner sides of the rectangular frames in parallel; the butt joint device is mainly constructed by adopting a steel structure, is different from direct welding of the existing steel structure, adopts a lap joint type design, and is matched with a related positioning structure for positioning during lap joint, so that the butt joint accuracy between the steel structures is ensured, and a stable supporting and alignment mode is omitted in the lap joint mode, so that workers only need to concentrate on welding work, and the welding efficiency is improved. The work load is relieved, the positioning structure is matched with the lap joint structure to assist in achieving the effect of improving the connection strength, all the parts can be installed in a prefabricated mode firstly, and rapid building can be achieved during construction.

A UWB downlink TDOA positioning method based on a main reference base station rotation strategy comprises the steps that multiple base stations are optimally arranged in a target area according to a geometric accuracy factor (GDOP), and a fixed rotation sequence is preset; the main base station is periodically and sequentially switched to serve as a TDOA reference node, and other base stations synchronously or sequentially transmit downlink signals; and after receiving the timestamps of the base stations, the tags calculate relative time difference by taking the current main base station as a reference, construct a nonlinear equation set in combination with a DL-TDOA algorithm, calculate coordinates through least square or iterative optimization and output a result. According to the method, the positioning performance in a complex environment is improved by periodically switching the role of the main base station. By rotating the main base station to disperse the shielding risk and combining conflict-free time sequence scheduling and local calculation, the dependence of a traditional scheme on clock synchronization is avoided, and the system complexity is reduced. Experiments show that positioning errors are remarkably reduced in a non-line-of-sight scene, and the method is particularly suitable for high-shielding environments such as industrial factory buildings and storage and has the advantages of high robustness and low deployment cost.

The invention discloses a biological filter and a method for treating VOCs and malodorous gas.The biological filter comprises a second spraying cavity which is sequentially provided with a second water storage pond, a second gas distribution layer, a second filler layer and a second spraying layer from bottom to top, and the second filler layer is sequentially provided with a first movable strain biofilm culturing filler layer, a second movable strain biofilm culturing filler layer and a third movable strain biofilm culturing filler layer from top to bottom; and a plurality of stirring devices are arranged in the first movable strain biofilm culturing filler layer and the second movable strain biofilm culturing filler layer. According to the method, VOCs and malodorous gas are treated by using a biological filter. The biological filter disclosed by the invention has the advantages of high filler utilization rate, stable operation, low energy consumption, low operation cost, high treatment efficiency, good purification effect, long service life and the like, and can be widely applied to treatment of VOCs (Volatile Organic Compounds) and malodorous gases with different components in industrial factories, sewage treatment, food processing industries, garbage clearance and other scenes; vOCs and malodorous gas in waste gas can be effectively removed, and the air environment of polluted factories and living quarters can be improved.

Assistance apparatus for automatically identifying critical suppliers of a supplier network providing material for operating an industrial plant, comprising - a data interface module (11) configured to receive a knowledge graph (20) comprising basic information (fnodeat-tribute) on the supplier network, - a graph analytics module (12) configured to determine at least one importance information (fcentrality) of nodes of the knowledge graph, - a graph neural network processing module (13) configured to receive the basic information (fnodeatt) and the importance information (fcent) as input, and to output a risk score (25) for all suppliers by processing the input, and - an output interface module (14) configured to present critical suppliers having the risk score higher than a predefined threshold to a user.

The invention provides an intelligent fire early warning and automatic extinguishing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: carrying out region division on the whole region of a plant, determining a monitoring region set, carrying out thermal imaging monitoring on each monitoring region in real time, and determining a corresponding high-temperature-rise monitoring region based on the temperature change of each monitoring region; determining a corresponding alarm priority based on the primary alarm, the intermediate alarm, and the advanced alarm; the combustible gas concentration, the smoke image and the flame image of each high-temperature-rise monitoring area are monitored in real time, whether an alarm is triggered or not is judged based on the combustible gas concentration, the smoke image and the flame image, if yes, the alarm is given, and if yes, a target fire area is determined; and fire extinguishing facilities in the plant area corresponding to the target fire area are controlled to carry out area fire extinguishing. According to the invention, the problem of low accuracy of fire early warning in the industrial factory building in the prior art is solved.

A computer-implemented method includes obtaining plant steam data regarding a plurality of steam traps of an industrial plant implementing a steam distribution network during operation of the industrial plant. A database is developed using the plant steam data and used to develop a mathematical correlation that describes a condensation removal rate as a function of parameters including a type of steam trap, temperature, pressure, and a steam volumetric flow rate. A digital twin of the steam distribution network is developed using a machine-learning model and the mathematical correlation, where the digital twin represents all steam straps of the steam distribution network. During operation of the industrial plant, a trap condition of a steam trap of the digital twin is estimated based on a set of plant steam data regarding the plurality of steam traps of the industrial plant.

The invention relates to the technical field of temperature measurement, in particular to an industrial kiln non-contact temperature monitoring system and method based on artificial intelligence, and the method comprises the steps: carrying out the matching processing of the real-time air environment characteristic data of an industrial plant area and the temperature monitoring air environment influence data, and generating the temperature monitoring influence data of an industrial kiln; real temperature data metering processing is carried out on the collected temperature data of the industrial kiln monitoring area, real temperature data of the industrial kiln monitoring area are generated, the real-time operation condition of the industrial kiln is analyzed according to the real temperature data of the industrial kiln monitoring area, and color display data of the industrial kiln monitoring area are generated; according to the method, the industrial kiln temperature monitoring platform is established, kiln temperature monitoring result display data are established, finally kiln temperature monitoring result data are established and pushed to the industrial kiln temperature monitoring platform, non-contact accurate temperature measurement of the industrial kiln is achieved, and meanwhile intelligent monitoring is conducted on the real-time temperature data of the industrial kiln.

The invention discloses a method for operating at least one field device of automation technology, by means of which communication and data exchange are enabled from a control unit, an engineering unit, and the field device through a communication network, the field device has at least one first functionality to provide measured variables in chemical, physical or biological processes and / or to control of industrial plants and at least one second functionality that is different from the first functionality, the method comprising: assigning a control program to the field device through the engineering unit, the control program is stored in the memory of the control unit, the second functionality of the field device can be activated by the control program with the assistance of a first activation code and / or a second activation code; verifying the capability of the second functionality of the field device; verifying the presence of the first activation code and the second activation code; verifying the validity of the first activation code and / or the second activation code; activating the second functionality for the field device based on the presence and the validity of the first activation code; activating the second functionality for the field device for a limited time based on the presence and / or the validity of the second activation code; blocking the second functionality for the field device if the first activation code is not present or not valid and the limited time is expired, until the first activation code is present and valid.

A computer-implemented method for providing an automated chat output with respect to an industrial plant environment includes obtaining a prompt input from a user; selecting at least one related industrial plant document from a provided document database of a plurality of industrial plant documents, wherein the at least one related industrial plant document is related to the obtained prompt input; determining an enhanced prompt using the obtained prompt input and the selected at least one related industrial plant document; and determining a chat output by inputting the enhanced prompt into a first large language model.

The invention discloses an automatically adjustable shutter suitable for an industrial factory building, the automatically adjustable shutter comprises a shutter frame and shutter blades, an environment monitoring box is mounted at the top end of the shutter frame, a driving mechanism is mounted in the shutter frame, the driving mechanism is in transmission connection with the shutter blades, the driving mechanism is in communication connection with a control box, and the control box is in communication connection with the shutter blades. According to the device, the shutter blades are controlled to conduct self-adaptive adjustment by monitoring the environment inside and outside a plant, the ventilation requirement of the plant is met, external impurities and rainwater are prevented from entering the plant, self-locking is achieved when the angles of the shutter blades are adjusted by designing an anti-swing traction mechanism and a self-locking driving unit, and the self-locking effect is achieved. Meanwhile, the middles of the louver blades are pulled and positioned, on one hand, the situation that the middles of the louver blades deform and shake due to the fact that the louver blades are too long is avoided, on the other hand, the pulling rope is clamped between every two adjacent louver blades, and noise caused by mutual collision when the louver blades shake is avoided.

The utility model relates to a prefabricated beam edge overhanging operation frame for a multi-layer industrial factory building, which is mounted on an edge prefabricated main beam through mounting holes reserved in the edge prefabricated main beam and comprises a plurality of overhanging cross rods, lower supporting rods, fixing rods, vertical connecting rods, inclined supporting rods, protective vertical rods, protective cross rods and large walkway cross rods. The mounting holes are reserved in the edge precast beam, and the overhanging type handling frame can be mounted on the side face of the precast beam in a steel pipe overhanging mode, so that the defects in the prior art are overcome; particularly, the operation frame can be installed on the precast beam in advance before the precast beam is hoisted, and after the precast beam is hoisted to a floor, floor surface edge protection is immediately formed, so that the safety risk of follow-up high-altitude operation is avoided.

The utility model relates to the technical field of building ventilation devices, in particular to an industrial factory building safe energy-saving mixed ventilation device which comprises a vertical cylinder and a transverse pipe, the open end of the vertical cylinder communicates with a factory building, one end of the transverse pipe communicates with the interior of the vertical cylinder, and the other end of the transverse pipe communicates with the outside. An air draft blade is arranged in the vertical cylinder and located on the rotating shaft, a driving mechanism for driving the rotating shaft to rotate is arranged on the vertical cylinder, the driving mechanism comprises a pneumatic driving part, an electric driving part and an opening and closing assembly, and the electric driving part and the pneumatic driving part can independently drive the rotating shaft to rotate; the separating and combining assembly is used for transmitting torque on the electric driving part or the pneumatic driving part to the rotating shaft, the pneumatic driving part comprises a pneumatic shaft which is rotationally arranged on the vertical cylinder and is coaxial with the rotating shaft, and the end, opposite to the rotating shaft, of the pneumatic shaft extends out of the vertical cylinder and is provided with pneumatic blades. The system has the effect of reducing the power consumption of the industrial factory building.

The invention provides a high-strength sound-insulation fireproof composite board, and relates to the technical field of composite boards. The frame body is of an H-shaped structure, and aerogel is arranged at the two ends of the inner side of the frame body; the frame body is provided with the sound insulation plates, the sound insulation plates are symmetrically arranged at the two ends of the inner side of the frame body, noise sound waves penetrate through the fireproof plates and then are reflected and refracted multiple times in the spiral sound absorption holes, the sound wave propagation path is effectively disturbed, the efficient sound absorption characteristic of aerogel is matched, and a multi-stage attenuation mechanism for noise of different frequency bands such as high frequency and low frequency is formed. Compared with a traditional single-material sound insulation mode, the composite structure breaks through the bottleneck of sound insulation performance, can meet the noise reduction requirements in complex noise environments such as building decoration and industrial factory buildings, and solves the problems that a traditional board mostly depends on a single sound insulation material to achieve the noise reduction function, systematic acoustic structure design and the material synergistic effect are lacked, and the noise reduction effect is poor. The noise reduction requirements in complex noise environments such as high frequency, low frequency and the like are difficult to meet.

The invention provides a target identification method and system based on computer vision, relates to the technical field of computer vision identification, and realizes accurate detection and identification of text labels in an industrial factory building. The method comprises the steps of receiving an original picture in an RGB format in an industrial factory building as input, performing text region detection on the original picture by adopting an improved DB-net network model, and outputting a detected text region point set and a corresponding minimum bounding rectangular frame; according to the minimum bounding rectangular frame of each text area, intercepting a corresponding text image from the input image, performing character recognition on the intercepted text image by adopting a CRNN network model, and outputting recognized character content and original position information; and carrying out classification screening on the identified text content, distinguishing the labeling content text and the position scale text, and eliminating wrong and invalid information. The target identification system based on the computer vision applies the target identification method based on the computer vision.