100results about How to "Reduce human resource costs" patented technology

The invention relates to the technical field of wire harness production, and particularly discloses an intelligent monitoring management system for a wire harness production line. Comprising a wiring harness terminal crimping process database module, a wiring harness terminal crimping text data acquisition module, a wiring harness terminal shape text data processing module, a wiring harness terminal pressure text data processing module, a wiring harness terminal crimping process analysis module and an error correction analysis adjustment module. A wire harness terminal crimping management judgment module; and a wire harness terminal crimping man-machine interaction module. According to the invention, text data acquisition and preprocessing are carried out on a wiring harness terminal crimping process link, a first monitoring index and a second monitoring index are obtained by analyzing the shape of the wiring harness terminal and the crimping pressure of the wiring harness terminal, and the terminal shape change and the pressure change in the terminal crimping process are monitored in real time; defective products can be found in time and alarm shutdown can be triggered, so that the time and the labor cost of manual inspection are reduced, and the production efficiency is remarkably improved.

The invention provides a method and system for optimizing a commodity title and computing equipment, and the method comprises the steps: obtaining commodity information which comprises an original title of a commodity and a commodity attribute; obtaining related flow words associated with the commodity by using an algorithm recommendation system; based on the commodity information, first candidate traffic words used for being added into the original title are selected from the related traffic words through a large language model; based on the commodity information and the first recommended traffic word, utilizing a large language model to generate a second candidate traffic word used for being added into the original title; based on the commodity information, the first candidate traffic word and the second candidate traffic word, determining excluded risk traffic words by using a large language model to obtain a third candidate traffic word; and selecting an optimized traffic word from the third candidate traffic words by utilizing a large language model based on the commodity information, and adding the optimized traffic word into the original title, thereby generating a new title. According to the technical scheme, merchants can be better helped to screen drainage keywords, commodity titles can be more conveniently optimized, and commodity competitiveness is improved.

The invention discloses a backfill soil foundation compactness nondestructive testing method based on an intelligent sensor. The backfill soil foundation compactness nondestructive testing method comprises the following steps of S1, the intelligent sensor, S2, a GPS positioning system, S3, a wireless transmission network and S4, an information monitoring and collecting system. An on-site road roller is modified, an RTK-GPS receiver, a wireless communication antenna and an acceleration sensor are installed, accurate measurement of the position and the running speed of the rolling machine can be achieved through an automatic rolling system based on RTK-GPS and closed-loop feedback control, the acceleration sensor is fixed to a vibrating wheel, vertical acceleration signals of the vibrating wheel are collected in real time, and the vibration speed of the vibrating wheel is measured. A CMV value and a field compaction degree evaluation result are analyzed in real time through a background development system, then a correlation relation is established between a compaction degree value and the CMV value which are measured by using a standard compaction degree inspection method in a test section, and real-time compaction degree monitoring control can be carried out.

The invention belongs to but not limited to the technical field of animal husbandry statistics, and particularly relates to an alpine meadow yak number calculation method and system based on an unmanned aerial vehicle image, and the method comprises the steps: S1, employing an unmanned aerial vehicle to shoot an orthoimage of a sample plot, and carrying out the statistics of the yak number; s2, splicing the shot images by using Pix4D software, screening a proper sample plot, and respectively counting the quantity of wet cow dung and the quantity of dry cow dung in a visual interpretation mode; and S3, carrying out linear fitting on the obtained data by using Origin 2024b, so as to obtain three relation curves. According to the method for estimating the number of the yaks through statistics of the number of the cow dung in the unmanned aerial vehicle image, the workload of data collection is greatly reduced, and the limitation that the number of the yaks cannot be obtained when the yaks are not grazed in the grassland is avoided. According to the invention, the data acquisition frequency of experimenters is effectively reduced, and the research cost is reduced.

The invention relates to the technical field of intelligent control, in particular to a cable braiding machine intelligent control system based on feedback adjustment. The system comprises a braiding pitch acquisition module used for acquiring a braiding pitch of a cable by acquiring a cable image in a cable braiding process, the braiding pitch being related to the number of spindles of the cable braiding machine and the distance of each strand of the cable; the rotating speed regulation and control parameter acquisition module is used for acquiring rotating speed regulation and control parameters of the spindle according to the knitting pitch; and the adjusting module is used for adjusting the current rotating speed of the spindle according to the rotating speed regulation and control parameters so as to obtain the target rotating speed of the spindle. According to the embodiment of the invention, the rotating speed of the spindle of the cable braiding machine can be automatically adjusted by analyzing the cable braiding pitch in the cable image, so that the high-precision and intelligent operation of the cable braiding machine is realized, the cable braiding precision is improved, and the material cost and the human resource cost are reduced.

The utility model discloses a building waste recovery transport vehicle, which relates to the technical field of building construction and comprises an outer shell, rollers are rotatably connected to the outer surface of the bottom end of the outer shell, guide grooves are formed in the two sides of the rollers, an inner shell is fixedly connected to the interiors of the guide grooves, and a feeding plate is movably connected to the outside of one end of the inner shell. According to the waste material crushing device, when waste materials in the waste material crushing device are crushed by the crushing rollers, internal metal is adsorbed by the magnetic suction plate in the rotating and stirring process, and after the metal waste materials are completely adsorbed by the magnetic suction plate, the first motor is started to drive the magnetic suction plate to rotate; the arc-shaped grooves in the two ends of the magnetic attraction plate enable the magnetic attraction plate to rotate more smoothly in the fixing groove, the magnetic attraction plate adsorbing the metal waste to rotate to one side of the outside, meanwhile, a worker operates the scraper to enable the scraper to slide along the outer wall of the magnetic attraction plate, and therefore the metal waste above is scraped to the position above the material guide plate at the bottom, the waste slides down along the material guide plate, and the metal waste is prevented from falling off. Therefore, metal is separated from other waste materials.

The invention discloses a method for counting drill rods of underground drilling rigs based on computer vision, comprising the following steps: S1, obtaining drill rod image data, and dividing the drill rod image data into two types of data; S2, performing image enhancement processing on the two types of data; S3, adding Gaussian white noise of different proportions to each cleaned image; S4, locking a sample image into a 416*416 image after being read in, and each image area passes through Darknet; S5, performing classification and regression tasks on the image candidate frame and the center point, width and height of the candidate frame, and modifying the output setting of the classification task to 1; S6, minimizing the loss function through training, and outputting a plurality of detection candidate frames through the monitoring network; S7, taking the inspection frame with the largest confidence in the inspection frame as the input frame, calculating the IOU of the overlapping inspection frames in turn, filtering when the calculated IOU value is greater than the set threshold, and repeating step S7; S8, tracking and calculating the monitored target by using image classification, Kalman filtering algorithm and Hungarian algorithm.

The invention relates to a high-speed rail traction system motor temperature monitoring device based on an RBF neural network, belongs to the field of intelligent sensing, and solves the problems of low sensor precision and high early warning and false alarm rate. Comprising a plurality of traction motor temperature sensors which are distributed in each motor and used for measuring the temperature of the motor in real time, obtaining the current motor temperature and transmitting the current motor temperature to a microprocessor; the microprocessor performs nonlinear error temperature compensation on the current motor temperature monitored by the sensor by using an RBF neural network based on an improved particle swarm to obtain compensated motor temperature values, judges whether all the compensated temperature values are smaller than a first temperature threshold value or not, and sends a first early warning instruction to the early warning module if not; a speed reduction instruction is sent to a high-speed rail centralized control center, and a signal is sent to the air feeder corresponding to the motor with the compensated temperature value exceeding the preset temperature threshold value for cooling; if any one of all the compensated temperature values is larger than or equal to a second temperature threshold value, a stopping instruction is sent; and the early warning module performs early warning based on the early warning instruction. And accurate temperature monitoring is realized.

The invention relates to the technical field of computers, in particular to a coal gas alarm monitoring method and system based on the MQTT technology in the iron and steel industry, and the method comprises the following steps: deploying a coal gas concentration sensor with high precision, high stability and low power consumption at a key position of an iron and steel production region, and guaranteeing the complete coverage of a region where coal gas leakage may occur; the sensor regularly or continuously collects gas concentration data, converts the data into digital signals and prepares for transmission, and the collected data comprises a timestamp, sensor position information and a real-time gas concentration value; the coal gas alarm monitoring method and system based on the MQTT technology in the iron and steel industry have the advantages that potential coal gas leakage risks can be found and responded in time by monitoring the coal gas concentration in real time and setting an intelligent alarm mechanism, safety accidents are effectively prevented, and the safety of production personnel and equipment is guaranteed.

The present invention provides a whole vehicle road noise analysis method based on a physical tire model, and establishes a random vibration road noise analysis method that combines road noise sensitive frequency band extraction based on a virtual sample database with noise normal distribution fitting, thereby overcoming the problems of being unable to evaluate the noise calculation result curve deviation caused by tire parameter uncertainty when conducting whole vehicle virtual road noise simulation based on a physical tire model, and being unable to ensure the effectiveness of virtual road technology in predicting NVH performance results in the early stage of vehicle development.

The invention belongs to the technical field of battery energy storage control, and discloses a battery energy storage system optimization control system and method of a power grid. The method comprises the following steps: numbering batteries in the battery energy storage system to obtain battery serial numbers; acquiring health state data of a battery in the battery energy storage system; preprocessing the health state data in unit time to obtain preprocessed data; dividing a geographic area where the battery energy storage system is located, and obtaining sub-area serial numbers; obtaining the generating capacity and the electric energy transmission distance of different sub-regions in unit time; establishing a digital model based on the battery serial number, the preprocessed data, the subarea serial number, the generating capacity and the electric energy transmission distance; setting target conditions based on the digital model, wherein the target conditions comprise the minimum number of idle batteries, the highest total battery health value and the highest electric energy average storage rate; and the human resource cost of battery replacement of the distributed battery energy storage cabinet is reduced.

The invention relates to the technical field of water conservancy construction equipment, and discloses a water conservancy project slope protection construction finishing device which comprises a main rack used for installing and fixing a finishing equipment structure; the suspension beam and the supporting beam are located above the main machine frame and used for fixing a trimmed main structure to the main machine frame. The trailer rod is located on one side of the main machine frame and used for providing dragging of equipment for a traction vehicle. The unfolding mechanisms are located on the two sides of the main machine frame and used for enabling the trimming equipment to form an inclined structure aiming at the slope protection. By using the tow bar, the vehicle application cost can be reduced, the needed manpower resource and equipment cost are reduced, the device is relatively simple to operate and is mainly driven by a hydraulic system and a motor, an operator only needs to perform simple control and supervision, complex technical operation is not needed, the operation difficulty and risk are reduced, and the operation efficiency is improved. Automatic slope protection trimming operation is achieved, the requirement for manual operation is lowered, and the working efficiency is improved.

The invention discloses a method and a system for designing a breath sound classification recognition accelerator based on an FPGA (Field Programmable Gate Array), and relates to the technical field of breath sound recognition. The method specifically comprises the following steps that a breath sound data set is established, and the breath sound data set comprises multiple kinds of breath event sounds such as normal sounds, dry rale sounds, gasp sounds and gasp sounds; extracting breathing sound features based on the breathing sound data set to obtain a breathing sound feature map; taking the breath sound feature map as a learning sample, and training a breath sound classification recognition model based on a neural network; and using the trained breath sound classification recognition model to perform inversion on the breath sound data set to obtain the recognition accuracy of different types of breath sounds. Compared with a stethoscope, the method has the advantages that the human resource cost is reduced, and the difference caused by human subjective judgment is reduced. Compared with other hardware platforms such as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), the system has the advantages of lower power consumption, higher response speed and higher portability.

The invention relates to an innovation capability quantitative evaluation system for a power grid enterprise. The system comprises an acquisition module used for acquiring related power grid enterprise innovation data sources of a headquarters and basic units of the power grid enterprise; an index module which is connected with the acquisition module and is used for processing the related power grid enterprise innovation data source and obtaining multiple types of indexes of two dimensions from the two dimensions of a standard innovation process and a standard innovation result; the index evaluation module is connected with the index module and used for evaluating the multiple types of indexes to obtain corresponding scores of all the indexes; and the quantitative evaluation module is connected with the index evaluation module, and the quantitative evaluation module is used for performing weighted summation based on the corresponding scores of the indexes in the two dimensions to obtain quantitative evaluation of the innovation capability of the power grid enterprise. Compared with the prior art, the method has the advantages of accurate evaluation, automation and the like.

The invention relates to an enterprise customer relationship management system and a management method thereof, and the method comprises the following steps: a manager inputs user information in a user management module, sets the role and the corresponding authority of a user, collects new customer information, adds the new customer information into the system, classifies customers, and stores the classified customers into a database; customer data are analyzed to know customer demands and preferences, potential sales opportunities are tracked and managed in the sales management module, customer problems, complaints and demands are recorded in the customer service and support module, and the processing progress is tracked; client support and solutions are provided, marketing activities are designed and executed in the market management module, client reports and data analysis are generated in the statistics and analysis module, and client growth, sales trends and the like are provided; according to the invention, through a comprehensive customer management tool and a data analysis function, an enterprise is helped to improve customer satisfaction, enhance customer loyalty and improve sales and marketing efficiency.

The invention discloses an intensive care unit video visiting management method and system based on image acquisition, and relates to the technical field of video visiting, the intensive care unit video visiting management method based on image acquisition comprises the following steps: acquiring an intensive care unit image in real time, and preprocessing the intensive care unit image; identifying a patient action image by using an intensive care unit image identification method, and analyzing whether the patient actions are the same or not; judging the state of the patient according to an analysis result, adjusting visiting times of the medical staff, and generating a visiting management table; and storing the generated visiting management table to a video platform, and updating in real time. According to the method, whether the actions of the patient are the same or not is analyzed, the visiting times of the medical personnel are flexibly adjusted, and resource allocation is performed according to the stability of the state of the patient, so that the optimization of visiting management is facilitated, the manpower resource and time cost is effectively reduced, the working efficiency is improved, and the medical personnel are ensured to more accurately pay attention to the needs of the patient.

The utility model belongs to the technical field of steel smelting, and particularly relates to a blast furnace gravitational dust removal and ash discharge device which comprises a gravitational dust removal device, a first ash discharge bin and a second ash discharge bin which are symmetrically distributed are arranged at the bottom of the gravitational dust removal device, and the gravitational dust removal device is respectively connected with the first ash discharge bin and the second ash discharge bin through a first pipeline. The top of the first ash discharge bin is connected with the dust remover through a second pipeline, the top of the second ash discharge bin is communicated with the second pipeline through a third pipeline, the second pipeline and the third pipeline are both provided with blow-off ball valves, the first ash discharge bin is connected with the suction and exhaust vehicle through a fourth pipeline, and the second ash discharge bin is communicated with the fourth pipeline through a fifth pipeline; the dust remover is communicated with the fourth pipeline through a sixth pipeline; the whole operation process is simple and convenient; dust raising is avoided in the operation process, and the environment is protected; the labor intensity of workers is reduced; the ash discharging time is saved, and the human resource cost is reduced.

The present invention discloses a motor stator wire binding machine, comprising a wire binding module composed of a wire hooking needle and a wire passing tube, and also comprising a swing arm and a horizontally rotating cam plate, wherein the rotating shaft of the swing arm is located at the front end, a guide ball is arranged in the middle of the swing arm corresponding to the guide groove of the cam plate, a wire hooking rod sliding part and a wire passing tube sliding part are arranged at the rear side of the swing arm, a wire hooking rod and a wire passing rod are respectively mounted on the wire hooking rod sliding part and the wire passing rod, the wire hooking needle and the wire passing tube are respectively mounted on the front end of the wire hooking rod and the wire passing rod, the wire passing tube is L-shaped, a telescopic structure is arranged at the rear side of the wire hooking rod to control the forward and backward movement of the wire hooking rod, and a swinging structure is arranged at the rear side of the wire passing rod to control the rotation of the wire passing rod; compared with the prior art, the motor stator wire binding machine adopts an automatic wire binding method, which significantly improves work efficiency and reduces human resource costs compared with manual wire binding.

This invention provides a static parameter measurement device for overhead contact lines based on an unmanned aerial vehicle (UAV) platform, belonging to the field of railway overhead contact line inspection technology. It includes a UAV body with a laser measuring device mounted on its top and a telescopic support mounted on its side. The UAV body includes a processor chip, and the laser measuring device is connected to the processor chip. After takeoff, the telescopic support secures the UAV, and the laser measuring device measures the overhead contact line. The measured data is transmitted in real time to the processor chip for processing and analysis, ultimately achieving high-precision measurement of the static parameters of the overhead contact line. By linking the top-mounted laser measuring device with the processor chip, it is possible to conduct inspections and parameter measurements on conventional railway lines outside of designated maintenance windows, achieving high-precision, non-contact distance or terrain measurement, suitable for complex environments, and significantly improving data acquisition efficiency.

The invention relates to the technical field of storage, loading or distribution, in particular to transportation. According to the technical scheme, the method comprises the steps that the tank car dispatching state of each process node is acquired and monitored; according to the tank car dispatching state and the operation state, tank car dispatching stage statistics are obtained; calculating a waiting tank car number low value coefficient, and establishing a scheduling model; and scheduling the tank car according to the scheduling model. The system is a main control module, receives data and determines a scheduling instruction through a scheduling model; the data acquisition module is used for acquiring real-time data from the equipment and the communication module; the supervision module receives the scheduling instruction and confirms whether the scheduling instruction passes feedback to the communication module; and the communication module is used for receiving and feeding back the reservation information of the external tank car and sending a scheduling instruction to the current equipment. The problems that in the prior art, the execution efficiency is low, and coherent operation is difficult are solved, the method and system for dispatching the LNG liquid output vehicle are provided, and the purposes of ensuring dispatching fairness, being high in adaptability and keeping coherent operation are achieved.

The invention provides a water injection pump leakage pressure detection and control device based on industrial vision. The device comprises an industrial visual pressure detection module and a PLC control module. The image source module is used for setting shooting basic parameters and shooting leaked water of the water injection pump in real time; the rapid matching module establishes a corresponding picture template when water leaked by the water injection pump is a water drop or a water column; the condition detection module detects whether each picture obtained by photographing is matched with a picture template or not; a first variable calculation module counts the total number N of pictures shot in real time within a period of time; the first variable calculation module counts the number NOK matched with the picture templates; the second variable calculation module calculates the number NNG which is not matched with the picture templates and the qualified rate R which is matched with the picture templates; the consumed time statistics module counts total consumed time T; a third variable calculation module calculates the qualified rate R1 in unit time; and when the qualification rate R1 is within a preset range, the PLC control module controls the water injection pump to continuously operate, and otherwise, the PLC control module controls the water injection pump to stop operating. The technical blank of pressure detection of the leakage rate of the water injection pump in a non-contact mode is filled.

The application discloses a modular installation method for a large-scale stacker-reclaimer, which comprises the following steps: S1, modular design: the structure of the stacker-reclaimer is divided into several module units, and the size and weight of each module unit are suitable for the road and hoisting equipment on site; S2, factory manufacturing and pre-assembly: the module units are divided according to the division of the module units in a factory or a pre-assembly site; S3, module splitting and transportation, and the components transported to the site are assembled according to the modules; S4, module hoisting; S5, three-dimensional measurement and installation adjustment: a large-scale stacker-reclaimer installation construction process is monitored by using a drone, a three-dimensional installation model is established, and the spatial dimensions of the stacker-reclaimer are detected through the model; the module units after hoisting are checked and adjusted to ensure the consistency and stability of the module units and the whole structure; the method provided by the application improves construction efficiency, reduces construction period, reduces cost, increases flexibility, and provides maintainability and upgradability.

The present invention belongs to the technical field of computer room inspection, and specifically is a big data computer room inspection method and system based on the frequency of use of actions, including a preset inspection route; after the inspection robot arrives at the designated inspection position, it executes the detection action; the number of executions and the duration of each action of the inspection robot are recorded, and a data model is established; according to the data model, the action execution strategy and path planning of the inspection robot are optimized and an optimization mathematical model is established; the inspection is optimized according to the time scale of day / week / month, and a periodic mathematical model is established, and finally an optimized inspection plan is realized, so as to solve the problems of high energy consumption cost and short service life of the inspection robot in the prior art, and can minimize the inspection cost, reduce energy consumption and maximize the service life of the inspection robot according to the frequency of use of the detection module of the inspection robot.

The application discloses a kind of automatic hollow coil boxing devices, including product input mechanism and with product conveying mechanism connection product boxing chute, further including conveyor belt, conveyor belt driving mechanism and setting on conveyor belt at least two separate product box containing, product boxing chute is provided with blanking opening change baffle and the driver of driving blanking opening change baffle change position, the lower end of product boxing chute is also provided with at least two blanking openings, blanking opening change baffle is used to change product boxing chute into blanking passage corresponding to different blanking openings, then fall into different single grid of product box, device further includes host computer, host computer is connected with the electric control part of each module, for receiving acquisition information and sending action control instruction.The application solves the risk of quantity error and omission caused by human negligence in the current product packaging process, manual sampling counting.

The invention provides a business processing method and device, equipment, a medium and a program product, which can be applied to the field of artificial intelligence and the field of financial science and technology. The method comprises the following steps: detecting the position of a customer to obtain a first position of the customer; the directional sound wave generator is controlled to send first directional sound waves carrying service handling notification information to the first position, the first directional sound waves comprise first ultrasonic waves of at least two phases, the first ultrasonic waves of the at least two phases are overlapped in a first area corresponding to the first position, and a sound signal which can be heard by a user is generated; the business handling notification information comprises a second position for handling the target business for the client; when it is detected that the customer reaches the second position, the directional sound wave generator is controlled to send second directional sound waves carrying the business processing information to a second area corresponding to the second position, and the second directional sound waves are used for indicating the customer to execute the target business handling process.

The utility model provides a single-face horn resonant cavity antenna structure and electronic equipment. A single-face horn resonant cavity antenna structure comprises a single-face horn, the single-face horn is provided with a horn cavity and a horn vibrating diaphragm, the single-face horn resonant cavity antenna structure further comprises a metal cavity, the metal cavity is formed in the peripheral surface of the horn cavity, and an avoiding opening is formed in the metal cavity so that the horn vibrating diaphragm can be exposed outside; and the antenna radiation branch knot is used for radiating signals outwards, and the antenna radiation branch knot is formed on the metal cavity. According to the invention, the antenna radiation branch knot is formed on the surface of the horn cavity of the single-sided horn, so that the human resource cost caused by film tearing, assembling and screwing in the current antenna assembling process is reduced; according to the single-sided horn resonant cavity antenna structure, the metal cavity is adopted, so that the system noise can be effectively shielded, and the radio frequency noise cost is reduced.

The utility model discloses a bottled wine loading and transporting device. The bottled wine loading and transporting device comprises a loading and transporting vehicle, the loading and transporting vehicle comprises a bottom plate, a movable guide rail rod is connected and fixed to the upper end of the bottom plate through welding, a movable groove is formed in the movable guide rail rod, a movable sliding block is installed in the movable groove, and the movable sliding block connects and fixes a supporting rod through welding; a threaded moving block is fixedly installed at one end of the supporting rod, bottled wine boxes can be conveyed to a loading transport vehicle, so that the loading efficiency of a production line is greatly improved, the situation that the bottled wine boxes are manually carried to the loading transport vehicle can be reduced, and the risk that the bottled wine boxes fall on the ground and are damaged in the manual carrying process is reduced; and the product quality and stability are improved, and the human resource cost required by manual carrying is reduced.

The invention discloses an automatic flour packaging, conveying and packaging device, which relates to the technical field of flour processing, and includes a conveyor belt, a sewing machine, a base, a fixed seat, a sliding seat, and a straightening arm. The fixed seat is provided with a tightening and straightening unit, and the periphery of the fixed seat is provided with a first through groove; and an expansion unit is provided on the fixed seat. In the invention, the expansion unit aligns the edges of the bag opening of the flour packaging bag, and then separates the edges of the bag opening of the flour packaging bag so that the bag opening is open, and then the bag opening of the flour packaging bag is straightened along the suture position by the tightening and straightening unit. When straightening, the bag opening will be tightened and straightened, and the edges of the bag opening will be close to each other and fit together, and then with the conveying of the conveyor belt, the bag opening of the flour packaging bag can accurately enter the entrance of the sewing machine. In the whole process of packaging the suture, there is no need for the staff to straighten, tighten and align the bag opening of the packaging bag, so that the human resource cost can be reduced, and basically no safety hazards will be generated.

The embodiment of the invention provides a technical competitor identification method and device, electronic equipment and a storage medium, and relates to the technical field of data mining. The method comprises the steps that a text set is obtained, the text set comprises a plurality of first texts, and the first texts are technical texts of a first object in a target technical field; obtaining a first semantic vector of each first text according to a pre-trained first model; calculating the similarity between each first semantic vector and each second semantic vector, and obtaining a target semantic vector from each second semantic vector according to the similarity; for each second object, obtaining the competitive strength of the second object and the first object according to the similarity corresponding to each target semantic vector corresponding to the second object; and determining the technical competitor of the first object from the second objects according to the competition intensity of the second objects, so that the identification of the technical competitor can cross the limitation of languages and countries under the condition of not depending on artificial participation.

The invention belongs to the field of organic compound monitoring, and particularly discloses a volatile organic compound chromatographic peak retention time prediction method and a volatile organic compound chromatographic peak retention time prediction system, and the method comprises the following steps: obtaining gas chromatographic data of an organic compound at a current moment and historical data of the organic compound; inputting the gas chromatography data and historical data into the prediction model to predict the retention time of the chromatographic peak of each substance of the organic compound at the current moment; the prediction model comprises a first model and a second model; the first model is used for acquiring a first predicted value of retention time based on the gas chromatography data; the second model is used for obtaining a second prediction value based on the historical data and the first prediction value, the second prediction value is the retention time predicted by the prediction model, or the second model is used for obtaining a second prediction value of the retention time based on the historical data; the retention time predicted by the prediction model is obtained by fusing the two predicted values. According to the method, the prediction precision of the retention time of the chromatographic peak of the organic compound is remarkably improved by fully utilizing multi-source information.