49results about How to "Reduce resource requirements" patented technology

The invention discloses a method for analyzing a matching degree between a demand and an output result based on text semantics. The method comprises the following steps: step 1, labeling a data set; step 2, technical document preprocessing; 3, training and predicting a single-parameter model; 4, integrating prediction results of the multi-parameter model; the method has the beneficial effects thatthe method is simple; deep learning and the NLP technology are applied to the field of project association degree calculation of enterprise project management for the first time. Calculating an association matching degree between the two projects according to project requirements and result description; the associated project positioning difficulty is effectively reduced; meanwhile, the demand side can be helped to quickly and efficiently locate high-quality projects adapting to the demand of the demand side; time and resource investment for achievement screening and matching are greatly reduced, the association matching degree between projects is calculated by means of text data of existing project achievement technical documents and project declaration guidelines, and then large enterprises are assisted in screening high-quality projects with the high matching degree in the project bidding and tendering link.

The application provides a logistics transportation management method and system based on artificial intelligence, relates to the field of logistics transportation, and solves the technical problems that the prior art is difficult to balance real-time performance, distribution feasibility and resource utilization efficiency in the sudden interruption scene of a logistics vehicle, resulting in slow scheduling response, frequent secondary conflicts or failure of high-value order fulfillment. The method comprises the following steps: obtaining a set of orders to be delivered by a target vehicle at present and real-time position information; based on a preset hard constraint condition, screening candidate vehicles and constructing a task migration feasibility graph; inputting the task migration feasibility graph into a pre-trained lightweight graph neural network model to output the compatibility scores of each candidate vehicle for each order to be delivered in the order set; based on the compatibility scores, evaluating the urgency of the order to be delivered; and based on the urgency of the order to be delivered, updating the delivery task scheme of each candidate vehicle. The application is used in the process of logistics transportation.

The application relates to the technical field of network resource management and the technical field of reinforcement learning, and discloses a spectrum decision method, device and equipment based on a double-graph structure and reconstruction cost, which comprises the following steps: inputting original state data of low-altitude intelligent networking into an actor network of a reinforcement learning architecture, generating a predicted spectrum decision scheme of the low-altitude intelligent networking through the actor network, and obtaining an expected reward value output by a critic network based on the original state data and the predicted spectrum decision scheme; determining a trained actor network based on the expected reward value and an actual reward value; and generating a target spectrum decision scheme of the low-altitude intelligent networking based on a current double-graph structure and the trained actor network. The application can improve the generation efficiency of the target spectrum decision scheme of the low-altitude intelligent networking.

This invention discloses a device for recycling and reusing leather processing waste, belonging to the field of leather processing waste treatment technology. The device includes a frame, on which are mounted a feeding hopper, a dual-shaft crushing mechanism, a negative pressure adsorption chamber, and a dust recovery assembly. The dual-shaft crushing mechanism includes a crushing shaft with anti-entanglement blades, an elastic scraper ring, and a reciprocating feeding rod, with a pull-out screen below. The negative pressure adsorption chamber is connected to the dual-shaft crushing mechanism via a connecting duct. The dust recovery assembly includes a cyclone separator, a filter cartridge, and a dust collection box connected in sequence. A compression chamber with an automatic top-loading plate is located below the dust collection box. This invention effectively solves the problem of waste entanglement and blockage through the synergistic action of the anti-entanglement blades, the elastic scraper ring, and the feeding rod; negative pressure adsorption combined with cyclone separation and filtration improves recycling efficiency and reduces dust pollution; the automatic top-loading and shaping of the compression chamber facilitates transportation and reuse. It has the advantages of high automation, high recycling efficiency, and good environmental performance.

The application belongs to the technical field of advertisement pushing, and discloses an advertisement intelligent putting system and method based on specific user driving: demand expressions voluntarily submitted by users are collected, characteristic elements of each expression item are extracted, and a demand expression characteristic set is obtained; multi-layer condition discrimination is performed on the demand expression characteristic set, and uncoordinated expression items are removed, so that a preliminary putting demand set is obtained; situation derivation enhancement is performed, so that a complete putting demand set is obtained; core expression item data of adjacent demand sequences are extracted, and sequence mapping and fusion processing are performed, so that a persistent preference guidance group is obtained; peripheral expression item data is extracted, and an instant change coordination group is constructed; the peripheral expression items in the complete putting demand set are matched and adjusted, so that an adaptive putting advertisement set is obtained; and the precision marketing efficiency of advertisement intelligent putting is greatly improved.

This application provides a resource planning method, apparatus, electronic device, medium, and program product, which can be applied to the fields of cloud computing technology and artificial intelligence technology. The method includes: acquiring resource observation information and knowledge representation information of a target sub-institution, wherein the knowledge representation information is information generated or provided by multiple teacher models constructed by multiple sub-institutions based on local resource usage history information, and the knowledge representation information includes model parameters and / or soft labels; determining teacher knowledge suitable for the target sub-institution based on the resource observation information and knowledge representation information; training or updating the student model of the target sub-institution based on the teacher knowledge to obtain a resource prediction model; obtaining resource usage prediction results based on the resource observation information and resource prediction model; and generating resource planning suggestions based on the resource usage prediction results.

This application belongs to the field of chemical equipment maintenance management technology, specifically providing a predictive maintenance management system for the entire lifecycle of chemical equipment. It mainly includes: a data standardization module: acquiring at least three operating parameters of the target chemical equipment within a first time period, standardizing these parameters to obtain standardized operating parameter data; and a coupling analysis module: based on the standardized operating parameter data, analyzing the dynamic coupling relationship between multiple operating parameters, and calculating the real-time correlation coefficient between parameter pairs to form a real-time correlation matrix. This application effectively solves the problem in existing technologies where maintenance methods struggle to identify early potential problems from subtle changes in parameter correlations. It achieves dynamic and accurate assessment of equipment health status, provides a comprehensive basis for maintenance decisions, reduces resource waste and failure risks, and improves the adaptability of the maintenance system.

This disclosure provides a data processing method, apparatus, and computer device based on butterfly networks, relating to the fields of artificial intelligence and hardware acceleration technology. The solution is as follows: In a switchable data processing architecture including an inverse butterfly network, a preprocessing module, a post-processing module, and a control signal generation module, when switching to aggregation operation, the preprocessing module inputs the first input data into the inverse butterfly network, the control signal generation module outputs the first control signal to complete data processing, and the post-processing module directly outputs the aggregation result. When switching to distribution operation, the preprocessing module performs input position mapping and filling on the second input data to obtain the third input data, the control signal generation module outputs the adapted second control signal to complete data processing, and the post-processing module performs rearrangement on the intermediate results to output the distribution result. This reduces hardware resource consumption, lowers control complexity and processing latency, and improves the hardware deployment adaptability of neural network sparse computing while ensuring functional integrity.

The invention belongs to the technical field of deep space exploration, and particularly relates to a multispectral image displacement depth adaptive mapping method and system based on radiometric calibration, and the method comprises the steps: obtaining original black field data with the input bit depth being N and original flat field data with the input bit depth being N; after bad pixels are shielded according to the original black field data and the original flat field data, row offset and row response are calculated; sequentially determining a global scale according to the row offset and the row response, calculating an integration slope, and generating a lookup table according to the integration slope; and acquiring real-time monitoring input, reading the M-bit output value corresponding to the real-time monitoring input according to the lookup table, and correcting and updating the lookup table according to the M-bit output value. Based on a parameterized calculation process (derivation from row bias and row response to a global scale and an integrated slope), different input bit depth and output bit depth requirements can be met by modifying input parameters, inherent limitation caused by hard coding is avoided, and the configurability of cross-platform tasks is improved.

This invention relates to the field of image generation technology, and more particularly to a method for generating bird's-eye view images of reservoir landscapes based on a Stable Diffusion large model. The method includes the following steps: preprocessing acquired reservoir landscape images and semantically annotating them based on water conservancy terminology to construct an image-text pairing dataset; training a pre-trained Stable Diffusion model, incorporating LoRA adaptation parameters into its UNet attention layer, using the image-text pairing dataset to generate a target feature image; and updating the LoRA adaptation parameters based on the difference between the target feature image and the reservoir landscape image to obtain a LoRA model for the reservoir landscape bird's-eye view image. This invention achieves structurally controllable and semantically consistent reservoir landscape generation by fusing structural reference constraints and semantically weighted alignment and introducing LoRA modulation.

This application relates to the field of vehicle-related technology, and discloses a method, apparatus, equipment, and vehicle for vibration modal analysis of a vehicle spoiler. The Z-axis dimension of the target portion in the X-direction cross-section of the spoiler is smaller than the Z-axis dimensions of its two side portions. The method includes: substituting the free end overhang length, intermediate cavity height, elastic modulus, and material density of the spoiler into a preset simplified estimation formula for calculation, and outputting a first-order vibration modal estimation value; the intermediate cavity height is the Z-direction cross-sectional height at the narrowest cavity of the spoiler; the preset simplified estimation formula satisfies that: the square of the first-order vibration modal estimation value is directly proportional to the product of the elastic modulus and the square of the intermediate cavity height, and inversely proportional to the product of the material density and the fourth power of the free end overhang length; based on the first-order vibration modal estimation value, the vibration modal analysis result of the spoiler is determined. Applying the technical solution of this application can solve the problems of high analysis resource consumption, low efficiency, and high cost currently existing.

The invention relates to the technical field of composite material structural members, in particular to a design and construction method for recycling GFRP rib concrete beams of retired fan blades. A recycled GFRP (glass fiber reinforced plastic) reinforced concrete beam for retired fan blades comprises a concrete beam body, the bar framework is arranged in the concrete beam body and comprises at least two GFRP longitudinal stress bars arranged in the length direction of the concrete beam body and GFRP stirrups fixedly connected with the GFRP longitudinal stress bars and arranged in the length direction of the concrete beam body at intervals; wherein the GFRP longitudinal stress bars and the GFRP stirrups are all made of waste fan blade composite materials through mechanical recovery. The mechanically recycled GFRP rib material is used for replacing a traditional steel bar to serve as a stress bar of a concrete beam body, the environment pressure brought by large-scale composite material waste can be effectively relieved through recycling of the retired fan blade, conversion from a retired material of new energy equipment to a structural engineering material is achieved, and development of low-carbon circular economy is promoted.

The present application relates to the technical field of vehicle-mounted power supply, and particularly relates to a vehicle-mounted power supply module with intelligent adaptation and regulation module, which comprises a vehicle-mounted power supply module and an external assembly shell, the external assembly shell is composed of a plurality of sub-assembly shells, the vehicle-mounted power supply module is installed in the sub-assembly shell, and the sub-assembly shell comprises a bottom main receiving seat, an electrically-controlled external closing cover and an intelligent regulation assembly installed in the bottom main receiving seat. The vehicle-mounted power supply module with intelligent adaptation and regulation module adopts a modularized external assembly shell, cooperates with a clamped vehicle-mounted power supply module mounting structure, replaces a traditional glue bonding and multi-bolt fixing mode, realizes quick disassembly and assembly of the power supply module, does not need special tools, improves production and assembly efficiency and post-maintenance convenience, and avoids damage to the module in the disassembly and assembly process.

The application discloses a kind of based on multi-source fusion and reinforcement learning's composite material additive manufacturing adaptive control method, first in printing process Synchronous acquisition space position, infrared temperature, tension and compression force and multi-source sensor data such as visible light image;Through the lightweight perception module constructed to each road data is parallelly processed and feature extraction, to force data adopts second-order difference to carry out state discrimination, to temperature data adopts multistage threshold segmentation and extracts forming area statistical feature, and reward feature is generated in combination with image recognition and position mutation detection;The multi-dimensional state features after fusion are combined with reward function, and the agent is trained using reinforcement learning algorithm to learn the optimal printing parameter decision strategy;The trained agent is used for real-time control, and the best printing speed and layer thickness instruction are dynamically output to the mechanical arm according to the current state. The application realizes accurate description and real-time adaptive control of complex multi-physical field coupling process, effectively improves printing quality and process stability.

This invention discloses a heterogeneous hybrid expert large model architecture and alignment method for high-concurrency online medical dialogue. First, the method proposes a dual-pool heterogeneous routing strategy of "4 general experts + 2 departmental experts." Through physically isolated parallel routing channels, it forces the model to simultaneously activate general language capabilities and specialized medical reasoning when processing input, fundamentally ensuring the focus and professionalism of responses. Second, it adopts a structural evolution strategy based on parameter expansion and selective freezing. By completely freezing the pre-trained basic parameters and training only newly added departmental experts, it completely eliminates catastrophic forgetting. Finally, in the model alignment stage, it employs the Group Relative Policy Optimization (GRPO) algorithm for valueless models to reduce memory overhead and designs a dual-track hybrid reward function combining low-level semantic similarity rewards and high-level structured large model referee scoring, effectively solving the "reward hacking" problem and guiding the model to generate refined responses that combine clinical accuracy and humanized interaction. This invention significantly improves the performance of medical dialogue systems. Its sparse activation and parameter freezing characteristics further ensure low latency and high throughput in online high-concurrency scenarios, providing a complete solution for the deployment of reliable medical dialogue systems.

This application proposes a signal processing method, apparatus, terminal, chip, and storage medium, relating to the field of communications. The method includes: responding to the fact that a first SSB currently received and a previously received second SSB are SSBs repeatedly transmitted by a network device, merging first soft value information of the first SSB and second soft value information of the second SSB to obtain first target soft value information; wherein the first soft value information indicates the soft value of the digital signal of the MIB carried in the first SSB in each time unit, and the soft value is determined based on the ratio of the probability of the digital signal being a first value and the probability of it being a second value in the corresponding time unit; decoding and descrambling the first target soft value information to recover the MIB. Therefore, the reliability of MIB demodulation can be improved by utilizing redundant observation information provided by repeated transmissions of the same MIB by multiple SSBs, while avoiding the complex PBCH signal reconstruction process and reducing the complexity and resource consumption of signal processing.

The application provides a water supply pipe network corrosion pipe section identification and diagnosis method based on water quality inversion, the method collects water quality data and pipe section attribute information in a water supply pipe network area, determines the topological water flow direction based on the residual chlorine decay characteristics, determines the appropriate diagnosis node and target independent pipe section, monitors the water quality parameter change characteristics in the pipe section, combines the water quality change amount and the quantitative evaluation model of the pipe section corrosion degree, realizes the target positioning of the corrosion pipe section and the rapid inversion diagnosis of the corrosion state, the input layer of the model is the water quality change characteristics and pipe section information between the pipe network diagnosis nodes, the operation layer adopts an algorithm based on the water quality decay characteristics and the corrosion state mapping relationship, and the output layer is the pipe section corrosion state score, when the diagnosis result is lower than the preset safety threshold, the warning information and the maintenance suggestion are generated, the application can realize the diagnosis effect with the determination coefficient exceeding 0.95, and effectively improves the safety and reliability of the operation management of the water supply pipe network.

This application provides a method, apparatus, and network element for transmitting GTP-U messages. The method includes: a first user plane function sending relevant parameters of a GTP-U message to a first network function by invoking a service-based operation between the user plane and a first network function; by invoking a service-based operation once, relevant parameters of one or more paths or tunnels can be carried, which greatly reduces the overhead and resource waste of sending multiple GTP-U messages under multiple paths or tunnels, and can also reduce message processing latency.

The application provides a mechanical component degradation prediction method and system based on adaptive time-varying weight integrated Gaussian process regression, which comprises the following steps: taking the degradation data of the same mechanical component under the same working condition as a prior data set, selecting a polynomial function family as a prior mean function, constructing different mean function predictors based on the Gaussian regression method according to the prior data set and the prior mean function family, and constructing a global base predictor, a health period base predictor, a base predictor in the period of impending degradation and a base predictor in the degradation period through index optimization; in the global, health, impending degradation and degradation periods, the weights of the corresponding base predictors in each period are adaptively updated based on adaptive time-varying weights to construct a final integrated model; and the integrated model is used to predict the degradation trend of a mechanical component to be predicted. Compared with other existing methods, the application has the advantages of using less historical data to realize higher-precision and more adaptable prediction.

The invention discloses a dialogue intention information determination method and device, equipment and a storage medium. The method comprises the following steps: acquiring target speaking information of a target user in a communication dialogue; and performing complexity analysis processing according to the target speaking information, and determining a comprehensive complexity value corresponding to the target speaking information. And screening and determining a target reasoning module for intention analysis from a pre-constructed reasoning module set according to a pre-constructed complexity level threshold value and the comprehensive complexity value. And performing intention recognition processing on the target speaking information according to the target reasoning module, and determining dialogue intention information of the target user. According to the technical scheme, different resources are called according to the complexity of the user dialogue information, so that stable recognition of the intention category and intention intensity of the user is achieved, and the computing power and the cost are controlled while the recognition effect is guaranteed.

This utility model provides a particle size distribution screening device for the utilization of sludge in building materials, belonging to the field of building material preparation technology. It addresses the problem that existing methods use inter-particle liquid bridging forces to cause fine particles to agglomerate, affecting sludge screening efficiency. The device includes a screening support, a screening drive motor, a screening drum, an anti-clogging fixing support, a screening spraying component, a screening anti-clogging mechanism, and a screening anti-adhesion mechanism. The screening drive motor is fixedly connected to the upper rear end of the screening support; the screening drum is driven and connected above the screening support wheel; the anti-clogging fixing support is fixedly connected to the upper right side of the screening support; the screening spraying component is rotatably connected to the upper left side of the anti-clogging fixing support; the anti-clogging drive shaft is rotatably connected to the upper inner side of the anti-clogging fixing support; the screening anti-clogging mechanism is located on the right side of the anti-clogging fixing support; and the screening anti-adhesion mechanism is located at both the front and rear ends of the anti-clogging fixing support, reducing sludge adhesion and improving sludge screening efficiency.

This utility model discloses a recyclable device for recycled paper, belonging to the field of recycling technology. The utility model includes a processing box and an anti-clogging mechanism. A crushing component is installed on the top of the processing box, and a guide pipe is installed on the processing box. The anti-clogging mechanism includes a rotating rod rotating on the processing box and a cylinder fixed on the guide pipe. An eccentric wheel is fixedly connected to the rotating rod, which is connected to the crushing component via a belt. The top of the cylinder has a cavity, and the bottom has an air outlet. A retaining ring is fixed inside the cavity, and a piston rod is vertically movable within the cavity. Through the structural design of the cylinder, piston rod, air outlet, and exhaust hood, this utility model utilizes the rotation to drive the piston rod to descend and move within the cylinder, generating airflow which is then transported through a pipe to the exhaust hood for discharge. This continuously blows air through the outlet of the guide pipe, effectively dispersing the shredded paper accumulated near the outlet and allowing it to smoothly enter the crushing box.

This invention discloses a spatiotemporal data evaluation method, device, and computer-readable storage medium. The method includes: acquiring a spatiotemporal dataset to be evaluated; evaluating the dataset quality evaluation indicators of the dataset to be evaluated to obtain a macro-quality evaluation result; if it is determined that the dataset quality evaluation indicators of the dataset to be evaluated meet the macro-quality requirements, then evaluating the dimensional quality evaluation indicators of the dataset to be evaluated to obtain a meso-quality evaluation result; if it is determined that the dimensional quality evaluation indicators of the dataset to be evaluated meet the meso-quality requirements, then evaluating the data quality evaluation indicators of the dataset to be evaluated to obtain a micro-quality evaluation result; if it is determined that the data quality evaluation indicators of the dataset to be evaluated meet the micro-quality requirements, then outputting the spatiotemporal dataset to be evaluated. This invention improves the efficiency of quality evaluation while ensuring the accuracy of the evaluation through a multi-level, progressive quality evaluation approach.

The application relates to the technical field of interface interaction design, in particular to a GUI page element layout and layout optimization method and system based on artificial intelligence; a technical problem is that traditional GUI design methods have insufficient GUI design flexibility, high dynamic layout technical threshold, high manual layout cost, limited experience and unreasonable resource allocation; a technical scheme is that the GUI page element layout and layout optimization method and system based on artificial intelligence comprise a natural language processing module, a context perception module, an intelligent agent module, an interactive feedback optimization module, an interactive feedback optimization module and a cross-device adaptability module; the application enables a user to describe requirements through natural language by means of a natural language processing technology; the system automatically identifies natural language instructions; a large language model and an intelligent agent are utilized to automatically complete page element layout and layout, improve GUI design efficiency, realize user interface personalized display and improve user experience.

The utility model belongs to the technical field of switch cabinet, and disclose a kind of switch cabinet integrated device with multilayer module structure, including switch cabinet body, the surface of switch cabinet body is equipped with multilayer structure component, the multilayer structure component includes layer board, the inside of switch cabinet body is provided with several layer boards, the upper surface of layer board is symmetrically equipped with supporting plate, the sliding groove inside supporting plate is slidably connected with connecting rod, one end of connecting rod penetrates supporting plate, and extend to the outside of supporting plate, and be connected with the plug block being arranged in the outside of supporting plate, the plug block is inserted in the slot being set in the surface of switch cabinet body, the both sides of layer board are equipped with insert strip, the utility model has the advantages that layer board can be flexibly adjusted according to actual use, avoid providing reasonable installation space, cause more inconvenient when using, affect the advantages of space layout.

This invention discloses a multi-objective optimized method for the coordinated management of nitrogen and phosphorus in paddy fields, specifically relating to the field of intelligent agriculture. It utilizes a sensor network to collect real-time data on soil temperature and humidity, precipitation probability, field water depth, and available phosphorus content, constructing an environmental dataset based on a preset nitrogen requirement. The mineralization conversion coefficient is used to calculate the mineralized nitrogen value, and a runoff risk coefficient is generated based on precipitation, water depth, and phosphorus content after calibration. The difference between the mineralized nitrogen value and the nitrogen requirement is used to determine the pathway for topdressing based on a risk threshold: high-risk pathways are matched with basal fertilizer compression intervals, while low-risk pathways are linked to the mineralization difference and a proportional threshold to trigger tiered adjustments, ultimately outputting the topdressing ratio. The method disclosed in this invention quantifies environmental factors into computational parameters in real time, solving the problem of lag in traditional fertilization; it establishes a dual-path decision-making mechanism based on risk thresholds to simultaneously optimize nitrogen and phosphorus balance and runoff control; and it dynamically generates fertilization instructions to improve nitrogen utilization and reduce runoff phosphorus emissions.

The invention relates to the field of robot scheduling, in particular to a resource collaborative scheduling method and system for multi-model beverage robots. The method comprises the following steps: collecting multi-batch beverage making tasks; carrying out equipment resource conflict identification based on the multi-batch beverage making tasks, and generating equipment resource conflict data; collecting real-time operation states of the plurality of beverage robots; performing state analysis according to the real-time operation state, and constructing a global working state diagram; performing overlapping degree calculation on the equipment resource conflict data to generate time sequence conflict points of the same equipment resource; performing collision risk quantification based on a global working state diagram and the time sequence conflict points to obtain a conflict task risk sequence; and performing multi-robot action scheduling planning on the conflict task risk sequence, and constructing an action collaborative scheduling strategy. According to the invention, through action cooperative scheduling, the resource utilization efficiency, the operation safety and the overall operation efficiency of the multi-model beverage robot are effectively improved.

The invention provides a board card environment test system, a board card environment test method and a test workstation. The board card environment test system comprises an incubator used for simulating a tested temperature and humidity environment; the jig card is arranged in the incubator, and the jig card is provided with a power interface, a data transmission interface and a board card slot for inserting a test sample; the power supply is arranged outside the incubator, and the power supply is connected with the power interface on the jig clamp and used for providing electric energy for the jig clamp; and the control system is arranged outside the incubator, and the control system is used for running a test script, is connected with the data transmission interface on the jig card, and performs data transmission with the test sample inserted into the board card slot through the data transmission interface. According to the board card environment test system, the board card environment test method and the test workstation provided by the invention, the stability, controllability and efficiency of the test can be improved, and the test cost is reduced.

The utility model provides a kind of soil microbial detection sample rapid pretreatment device, belong to experimental equipment technical field, the soil microbial detection sample rapid pretreatment device, including shell;Upper cover, upper cover is set in shell, and the inner surface of shell is slidably connected with collection box;Inner shell, inner shell is fixedly connected to the inner surface of shell, by realizing comminution filtration secondary screening and collecting whole process in single device complete, eliminate sample transfer loss, and double-shaft motor synchronous drive comminution and screening system, save equipment switching link, reduce the pretreatment time dynamic, according to high frequency shaking off adherent impurity, the screening efficiency of water-containing soil is improved, and the double anti-blocking guarantee of anti-blocking screening is prevented, to avoid downtime cleaning, improve the crushing filtration work efficiency of soil, reduce the labor intensity of multiple process treatment to staff, reduce the waste of time and human resources.

The application provides a guide type intelligent guiding method and system applied to a chromatographic analysis process, relates to the technical field of computers, and first acquires an initial analysis process template matched with an initial task element set, then collects operation behavior record data of a user on an operation interface of a chromatographic analysis instrument in real time; the operation behavior record data is compared with the initial analysis process template in real time, a current operation deviation degree feature set is generated, a guide type prompt information set is dynamically generated based on the current operation deviation degree feature set, a guide type prompt instruction sequence is generated according to an operation time point and is sent to a user terminal display interface to be presented piece by piece, and each operation of the chromatographic analysis process is guided to be completed by the user, so that the accuracy and efficiency of analysis are improved.