84results about How to "Quick formulation" patented technology

The invention discloses a fire occurrence determining method and a fire occurrence determining device based on an unmanned aerial vehicle. The fire occurrence determining method comprises the steps that: the system which mainly consists of the unmanned aerial vehicle (UAV), a remote server and a control system on the ground is adopted, the unmanned aerial vehicle flies to a fire alarm region according to GPS position information of a fire alarm point, shoots a field video image and a thermal infrared image of the alarm point, and sends the field video image and the thermal infrared image to the remote server through a 4G mobile cellular network; the remote server receives data and obtains the real-time field video and thermal infrared image; and a result whether a fire occurs is obtained through naked eye identification or subjecting the thermal infrared image to comparison by means of a classifier. The fire occurrence determining method and the fire occurrence determining device can send out the unmanned aerial vehicle timely after receiving an alarm, save a large amount of manpower and material resources of fire fighting, can master field condition of the fire occurrence point quickly, provide reliable and effective real-time information for carrying out the rescue operation, and compensate for the defect that the existing method of confirming fire occurrence lacks of a method of confirming fire occurrence through aerial photography by means of the unmanned aerial vehicle.

The invention discloses a fire protection system and a rescue method thereof, comprising a fire alarm system, a comprehensive computing server, a linked fire protection facility component, an Anylogic computing server, a monitoring display based on a BIM building model, a BIM mobile device, a 119 control center, and a fire alarm system. Send the fire alarm signal to the integrated computing server; the integrated computing server receives the data on the fire alarm system and the Anylogic computing server and transmits the data to the linked firefighting facility components and the monitoring display based on the BIM building model; the BIM mobile device receives the data sent by the integrated computing server The 119 control center receives the data information sent by the fire alarm system and the monitoring display based on the BIM building model. The invention can quickly calculate the shortest escape route, reduce possible casualties when a fire occurs, facilitate fire rescue command, and make rescue work more intuitive and efficient.

The invention relates to a monitoring and early warning system for rail transit passenger flow. The monitoring and early warning system comprises a data gathering module used for gathering passenger ticket data, video monitoring data and rail traffic line network and site base data, a data processing module used for generating passenger flow data according to the passenger ticket data, generating passenger flow distribution data according to the video monitoring data, and generating an electronic map according to the rail traffic line network and site base data, a data fusion module used for matching the passenger flow data, passenger flow distribution data and electronic map to form a passenger flow map, and a monitoring and early warning module used for monitoring the passenger flow according to the passenger flow map and sending an early warning signal when the passenger flow is larger than a set threshold. Through monitoring and early warning the passenger flow in real time, the monitoring and early warning system for the rail transit passenger flow enables the rail transit line network passenger flow monitoring efficiency to be improved and provides decision support for operation managers to timely prevent sudden events and organize operation.

The invention discloses a method for automatically generating overhaul safety measures of a secondary system of an intelligent substation. The process for automatically generating the overhaul safety measures comprises the steps of importing an SCD file, performing automatic instantiation on an overhaul equipment and compulsorily-stopped equipment relation template database, performing automatic instantiation on a single equipment safety isolation measure template database, selecting overhaul equipment, automatically generating an overhaul operation, and correcting and verifying the overhaul safety measures in a patterning way. By adoption of the method, assistance is provided for the operational safety of fault-elimination of onsite secondary equipment, and reorganization and expansion of the substation; a training platform for the overhaul operation of the secondary overhaul team also can be provided; and therefore, a technological foundation is laid to remote overhaul safety measure implementation and remote overhaul safety measure implementation result supervision for an unmanned substation in the future.

The invention provides an SFR and ELM based power grid transient state frequency characteristic prediction method, and belongs to the technical field of power grid security and stability analysis. According to the method, a system frequency response model and a limit learning machine theory are adopted as support, a power grid transient state frequency characteristic prediction model is built, theinfluence on the communication abnormal scene is considered, the system online measured data can be depended on, and frequency change characteristic prediction in the power grid transient state process is achieved. On the premise that the requirement for online computation speed is met, the power grid transient state prediction characteristic result accuracy and reliability are ensured, and therefore the decision basis is provided for power system state evaluation and operation control.

The invention discloses a road traffic predication system based on OD (Origin Destination) updating. The predication system is composed of five subsystems, namely a data management subsystem, an image management subsystem, an OD updating subsystem, a requirement predication subsystem and a road traffic predication subsystem, wherein the data management subsystem, the image management subsystem and the OD updating subsystem are used for maintaining and analyzing road traffic basic data, and the requirement predication subsystem and the road traffic predication subsystem face to actual decision making and application of road planning implementation management. The invention further discloses a road traffic predication method based on OD updating, and the method comprises the following steps of: on the basis of the last time of road OD investigation, obtaining an OD matrix of the current year road according to an OD updating method; and taking the OD matrix as a basis to realize the traffic predication of a regional road network, so as to analyze the traffic operation condition of the road network. According to the road traffic predication system and method disclosed by the invention, the problem that the common road OD matrix in a road network plan cannot be synchronized with the planning year is solved and decision-making evidences are supplied to road new construction and a reconstruction project for a road supervising and decision-making department, so as to improve the decision-making rapidness, scientific property and rationality of a road network project.

The invention discloses a nickel-based alloy radial-forging structure control method. The nickel-based alloy radial-forging structure control method comprises the following steps that a), a nickel-based alloy casting ingot is manufactured; b), the manufactured casting ingot is heated; c), the heated casting ingot is subjected to multiple passes of radial forging, wherein for radial forging of passes of a preset number, control on deformation of a forged workpiece is performed according to the following format: deformation of the nth pass (%) is equal to (T multiplied by ln)(Q / m)) / K; in the format, n is the value of the pass and can be 1, 2 and other preset numbers; T is forging temperature (DEG C) of the nth pass; Q is alloy dynamic recrystallization activating energy (KJ / mol); m is forging frequency (times); and K is a nondimensional coefficient (mol / (KJ.DEG C)), and is 100. According to the nickel-based alloy radial-forging structure control method, effective control for a nickel-based alloy radial forging in a forging process can be realized, and therefore, by utilizing the nickel-based alloy radial-forging structure control method, a deformation technological system can be rapidly formulated according to features of different steel types, so that problems of insufficient forging, crystal doping in the radial forging and the like are solved.

The invention belongs to the technical field of vehicle control, in particular to a driverless vehicle driving control system with a variable front illumination lamp. The system comprises a sensor unit, a core unit and a light outlet unit; the sensor unit comprises a recognition sensor used for detecting a road condition; the core unit comprises a sensor fusion algorithm module, a scene analysis module, a prediction and decision-making module used for predicting a vehicle driving state, a target calculation module and the like; the light outlet module comprises a vehicle front illumination lamp; a driven vehicle passes through the road condition recognition sensor to detect the road condition on the road, real-time scene analysis and monitoring are conducted to recognize road users or obstacles, observing computation is conducted on a target to predict the condition which is about to take place and make a decision of a driving strategy, and corresponding light intensity output by leftand right headlights is controlled according to a result to meet sensor illumination demands. By means of the system, a driverless vehicle with variable illumination intensity can be achieved to improve vehicle driving safety.

The invention discloses a method and a device for intelligent problem analyzing and processing based on ontology. Based on a natural language understanding technology, a general process of problem analyzing, understanding and solving, knowledge management and representation methods thereof, and ontology theory, the method, from the perspective of ontology, comprises the steps of: firstly constructing a universal knowledge base concept structure which is used for computers to maintain and store information related to problems faced by users; then converting the expression statement of the problems submitted by the users into information which can be processed by computers, interacting with users through the computer screen and acquires relevant basic information from the users; and finally, automatically completing intelligent identification of types and solution methods of problems by adopting an automatic reasoning mechanism. The device comprises a three-part data maintenance and storage device and an intelligent problem analyzing, processing and displaying device. The method and the device provided by the invention have the advantages that: a higher intelligence and accuracy can be ensured, users can enjoy ease and relaxation during operation process, and the method and the device have good technical effect and application value.

The invention discloses an intelligent control method for maintenance work order management. The method includes: S1, determining the maintenance level of the maintenance personnel based on the service life and the total maintenance times; 2, based on the total working time, the work time of the current date and the failure duration time, determining the time grade of the target failure equipment;3, based on the total number of fault occurrence and the time interval between the last fault and the target fault equipment, determining the fault level of the target fault equipment; S4, determining the damage level of the target faulty equipment based on the time level and the fault level; S5, selecting a serviceman for the target faulty equipment based on the maintenance level of the serviceman and the damage level of the target faulty equipment. The invention combines the damage grade of the faulty equipment and the maintenance grade of the maintenance personnel to select the maintenancepersonnel, which is conducive to improving the matching degree between the maintenance personnel and the equipment faults, improving the maintenance effect of the faulty equipment, enabling the maintenance personnel to carry out effective maintenance on the faulty equipment quickly and accurately, and improving the work efficiency of the maintenance personnel.

The invention discloses a data structure which associates working contents of a subproject, a subdivisional work and the like of construction engineering specified by national regulations with a comprehensive construction management knowledge base. A comprehensive construction management knowledge base data structure comprises a data structure, which is associated with working contents of the subproject, the subdivisional work and the like of construction engineering specified by the national regulations, of an index file, and a data structure of information bases of construction specifications, construction process standards, construction quality acceptance specifications, data, safety civilized construction specifications, national compulsory provisions, prevention and control of construction quality common faults, construction technology, safety disclosure, environmental protection and the like which are associated with working contents of the subproject, the subdivisional work and the like of construction engineering specified by the national regulations. In construction engineering project management software, working contents of the subproject, the subdivisional work and the like of construction engineering are organically linked with the comprehensive construction management knowledge base for construction engineering by the data structure, so that great convenience is brought to the project management of construction engineering, the project construction information management level of construction engineering is increased practically, and the management efficiency and management level of a construction enterprise are further improved practically.

The invention discloses a system for efficient interaction and transaction popularization based on a handset APP as the platform system, and the mode is that the Xiaocai platform goods display is corresponding to the company at a seller terminal; the seller at the seller terminal interacts with the consumer colony at a user terminal directly; the information required by the consumer colony at the user terminal is obtained from the corresponding cycle mode of the Xiaocai platform; a voucher or a coupon is obtained by shaking at the Tiantianqiang module by the user terminal, and the voucher or the coupon can be freely exchanged and used at the corresponding company; the voucher or the coupon can be transferred among the users freely; to the consumption colony, the voucher sent by the company can be obtained anytime and anywhere; to the company at the seller terminal, a good propaganda sale promotion mode can be realized, and various propaganda activities can be made rapidly in a targeted way based on the vouchers taken by the consumption colony at the client terminal.

The invention discloses a foot shape analysis and shoe pad customization system, and relates to the technical field of foot treatment. A manufacturing method comprises the following steps: acquiring data of soles and heels of a patient through an optical foot detection instrument; photographing the feet and knees of the patient by the system, and capturing pictures to obtain a detection report; selecting the type of shoe pads and a yardage which are suitable for a customer according to the report, and putting the shoe pads into a special heater for heating; placing non-shaped customized shoe pads on a special shaping pillow for shaping; keeping ankles and subtalar joints in a correct biological power line; after the two shoe pads are shaped, checking whether the shoe pads are suitable for arches of the feet of the customer precisely or not; performing simple tailoring on the widths according to shoes of the customer to ensure that the shoe pads are perfectly matched with the shoes. The foot shape analysis and shoe pad customization system can make a quick diagnosis according to the shapes of the feet, the shapes of knee joints, the shapes of the arches of the feet, excessive intortion, insufficient intortion, hallux valgus, high and low feet, paint points, proper shoe styles and the like to customize assorted correction shoe pads, and is convenient and practical.

The present invention discloses a lithium-ion battery equalization control method. The method comprises the following steps: (1) determining the evaluation index of battery consistency, and establishing the analysis sequence of m batteries; (2) employing a standardization Euclidean distance formula to calculate the standardization Euclidean distance values of any two batteries to obtain a matrix G; (3) converting the matrix G to obtain an m-row and m-column similarity matrix Wm*m; (4) calculating a diagonal matrix Dm*m; (5) calculating a Laplace matrix; (6) employing an Nomarlized cut method to form normalization processing of the Laplace matrix to obtain a matrix L; (7) obtaining a low-dimensional characteristic matrix E=[e1, ..., ek]; (8) obtaining a battery classification solution; and (9) performing equalization of batteries in a pack with the least number of batteries in the clustering through an equalization module. The lithium-ion battery equalization control method can realize fast making of an equalization scheme and reasonable control of the equalization process, and is suitable for the real-time online equalization of a battery system.

The invention provides a BIM-based municipal engineering traffic accident emergency handling method and handling device. The method comprises the steps of: obtaining a video image of a traffic accident occurrence point; generating a municipal engineering road three-dimensional BIM model according to the video image; based on the municipal engineering road three-dimensional BIM model, analyzing and formulating a rescue plan; and executing the rescue plan. Whether a traffic accident occurs on a municipal engineering road is monitored through a data acquisition and analysis module, once the traffic accident occurs, a traffic police can immediately go to a traffic accident occurrence point, the severity of the traffic accident does not need to be confirmed by the traffic police after the traffic police arrives at the scene; a rescue plan of the traffic accident can be quickly made; the work task of each worker is allocated; and the handling efficiency of the municipal engineering traffic accident is improved.

The invention discloses a spacecraft assembly accuracy measurement data online acquisition system and method. The spacecraft assembly accuracy measurement data online acquisition system comprises a lower computer control module, a communication module, an online module, a data acquisition module, a data processing module and a data management module. According to the invention, unified access andmeasurement data online acquisition of an electronic theodolite, a laser tracker and high-precision angle measuring equipment are realized, and automatic calculation of the measurement accuracy is realized through an algorithm library; automatic acquisition of a measurement preset value is realized through reading a three-dimension design model online, which supports rapid making of a measurementplan; the centralized storage of the measurement data can be realized, and the measurement data is associated with the model, the development stage and the process, so that online query and statistical analysis of the data is realized; and the spacecraft assembly accuracy measurement data online acquisition system is constructed by using a B / S architecture, which has the characteristics of convenient deployment and thin client; users can monitor the device through a browser according to permissions; and the measurement function which can only be achieved by the dedicated software deployed by asingle machine in the prior art can be realized, which is convenient for function expansion.

The invention belongs to polymer flooding of a tertiary oil recovery technology, in particular to a polymer flooding production optimization method and system based on inter-well connectivity. According to the polymer flooding production optimization method and system based on the inter-well connectivity, the primary option is that an oil deposit is simplified into a series of inter-well connectivity unit bodies, the shunt volume of all well points are obtained through calculation, and an initial polymer flooding connectivity model is established; then characteristic parameters of the initialpolymer flooding connectivity model are adjusted, and the optimized polymer flooding connectivity model is generated; and finally constraint conditions are combined, a polymer flooding optimal controlmodel is set up, and the polymer flooding index when the economic net present value is maximum is solved, and scene injection-production plan design is instructed. According to the polymer flooding production optimization method and system based on inter-well connectivity, the connectivity model of polymer flooding production-polymer concentration can be quickly predicted, the actual production data are combined so that historic matching is conducted, the polymer flooding optimal control model is solved through an optimization algorithm, adjustment and control of liquid production capacity and polymer injection concentration in each stage can be automatically realized, the oil production volume is increased, the economic benefits are improved, and scene injection-production plan design isinstructed.

The invention provides a vehicle scheduling method and device. The method comprises the steps of inputting historical data at historical moments into a preset clustering algorithm model, and thus acquiring a target vehicle cluster; inputting the historical data and a hotspot area into a preset prediction model, and thus acquiring prediction data; determining a vehicle scheduling quantity in the hotspot area at a target moment according to a first quantity, the prediction data and a third quantity of vehicles currently parked in the hotspot area; and scheduling the vehicles in the hotspot areaat the target moment according to the vehicle scheduling quantity. According to the method and device, the historical data can be input into the cluster algorithm model and the prediction model, and the prediction data of the vehicles at the target moment can be accurately acquired; and a vehicle scheduling plan can be quickly made according to the prediction data and the current data collected inreal time at the target moment. The accuracy and efficiency of vehicle scheduling operation are improved, and meanwhile, the timeliness of the scheduling plan is also improved, so that the schedulingplan is more accordant with actual business requirements.

The embodiment of the invention discloses a data processing method and device, a server and a computer readable medium, wherein the method comprises the steps of obtaining the demand data of advertisement putting, the demand data comprising the demand of the advertisement flow and an advertisement orientation condition; obtaining the flow inventory information meeting the advertisement orientationcondition, wherein the flow inventory information comprises the maximum available inventory flow, the remaining available inventory flow and the adjustable inventory flow; carrying out advertisementputting analysis according to the demand quantity and the flow inventory information to obtain an analysis result; and outputting the traffic inventory information and the analysis result. According to the invention, the more comprehensive flow inventory information and analysis results can be outputted according to the advertisement putting requirements of the user, an advertiser is assisted to quickly make an advertisement putting decision, the data processing efficiency is improved, and the advertisement reservation rate is improved.

The invention discloses an informatization management system applied to curtain wall door and window enterprises, and belongs to the technical field of door and window enterprise management systems. The system includes: a storage module used for storing data and blank reports of various profiles, a window type drawing module used for drawing a two-dimensional diagram, a three-dimensional diagram generation module used for generating a three-dimensional diagram according to a two-dimensional diagram, a window type fine adjustment module used for adjusting and generating a new two-dimensional diagram and a new three-dimensional diagram, aretail report generation module for generating a retail report, a processing list generation module used for generating a processing report, and a display module used for displaying information. The system has the effects that when a user designs a new door and window, the drawing with profile information can be automatically generated, forms for retailand production can be quickly generated, the working efficiency is high, and the user operation is simple.

The invention discloses an integrated cross-region rescue support system, and each monitoring region is internally provided with an active detection protection system. The system comprises an active monitoring network, a passive monitoring network, an inclination detector and a camera. And the inclination detector, the Beidou positioning module and the camera in each monitoring area are in communication connection with the remote monitoring system. The mountainous area is divided into a plurality of monitoring areas, the base stations form a rescue network, the active detection and protectionsystem forms a disaster detection array, the disaster situation can be monitored in real time and reported in time through the base stations, related departments can find the disaster situation quickly, formulate a disaster relief scheme quickly and establish a disaster relief team, and achieves the efficient disaster emergency rescue command. The inclination detector can monitor rockfall, debrisflow, collapse and other disasters in real time, the Beidou positioning module can monitor the overall displacement of a mountain body, the camera can monitor the road condition of a rescue path in real time, and the best rescue path and strategy can be formulated conveniently during rescue.

The invention provides a power equipment power failure plan compiling method based on a Hadoop platform, and the method achieves high-efficiency parallel processing of power failure demands of power equipment in a regional power grid through construction of a Hadoop distributed file system and the design of a MapReduce parallel programming model. A Hadoop distributed file system and a MapReduce parallel programming model are adopted so that strong data storage capacity and calculation capacity provided by a Hadoop distributed file system and a parallelization programming model can be fully utilized, efficient processing of equipment power failure requirements submitted by all levels of management units in a regional power grid is achieved, and an optimal power failure plan is compiled according to the stability principle of power grid operation.

The invention provides an equipment spare part allocation method and device. The method is applied to the technical field of inventory control and logistics management. The method comprises the following steps: establishing a spare part inventory data table by taking a spare part station number as a main key, wherein the spare part inventory data table field comprises the spare part station number, a spare part number, a spare part inventory amount and spare part availability; establishing an equipment spare part allocation optimization model by taking the spare part inventory and the spare part availability as constraint conditions and the minimum equipment spare part allocation cost as an optimization target; and inputting the spare part number required by the equipment and the spare part inventory data table to the equipment spare part allocation optimization model, and determining an optimal allocation scheme of the spare parts. According to the equipment spare part allocation method and device provided by the invention, the optimal allocation scheme can be quickly formulated, and the allocation cost is reduced while the equipment spare part allocation efficiency is improved.

The invention discloses a configuration method and a configuration device for a collection strategy rule. The configuration method comprises the following steps: S110, defining a strategy factor; s120, defining a value of a strategy factor; s130, defining a strategy factor group; s140, strategy rule definition: configuring a rule expression, taking factors and factor values as variables in the expression, and performing combined definition; s150, strategy group definition: on the basis of strategy rule definition, grouping to form strategy groups; and S160, rule engine processing: enabling therule engine to preferentially perform primary screening on the configured strategy group, and concurrently disassembly the batch execution tasks to generate a specific collection task corresponding to the collection strategy. According to the configuration method and the configuration device, different collection strategies can be automatically generated, and a certain rule expression is formed through dynamic factor selection and rule customization, so that the strain capacity and the flexibility of a business change rule are improved, and meanwhile, the resource investment of a science andtechnology department is reduced.

The invention discloses a distributed power supply credible capacity evaluation method based on a power distribution network security domain, and the method comprises the following steps: S1, determining the installed capacity of a distributed power supply and the capacity upper limit of a power distribution feeder line, and building a distributed power supply output and load priority model; s2, generating a system time sequence operation state; s3, judging the system state at the current moment, and generating a radial topological structure of the power distribution network; s4, verifying the topological structure based on the security domain of the power distribution network, and counting the insufficient power supply quantity caused by the power supply adequacy; s5, calculating a reliability index in the evaluation period based on a sequential Monte Carlo method; s6, performing credible capacity search based on a secant string method to obtain the credible capacity of the distributed power supply; according to the method, for a power distribution network topological structure in a system fault or normal operation state, an operation optimization model based on a static security domain is established, and a reasonable distributed power consumption scheme is rapidly formulated.

The invention discloses a method for automatically generating overhaul safety measures of a secondary system of an intelligent substation. The process for automatically generating the overhaul safety measures comprises the steps of importing an SCD file, performing automatic instantiation on an overhaul equipment and compulsorily-stopped equipment relation template database, performing automatic instantiation on a single equipment safety isolation measure template database, selecting overhaul equipment, automatically generating an overhaul operation, and correcting and verifying the overhaul safety measures in a patterning way. By adoption of the method, assistance is provided for the operational safety of fault-elimination of onsite secondary equipment, and reorganization and expansion of the substation; a training platform for the overhaul operation of the secondary overhaul team also can be provided; and therefore, a technological foundation is laid to remote overhaul safety measure implementation and remote overhaul safety measure implementation result supervision for an unmanned substation in the future.

The embodiment of the invention discloses an auxiliary teaching method, device and equipment based on a knowledge graph, and a storage medium, relates to the field of artificial intelligence, and canbe applied to a smart education scene, thereby promoting the construction of a smart city. The method comprises the steps of extracting keywords and knowledge points from a pre-stored knowledge base to construct a knowledge graph; if the wrong question text sent by the terminal is received, extracting a keyword to be queried from the wrong question text; and obtaining knowledge points associated with the to-be-queried keyword from the knowledge graph to form a knowledge point set, and sending the knowledge point set to a terminal. By constructing the knowledge graph, after the to-be-queried keyword extracted from the wrong question text is obtained, the associated knowledge points can be searched from the knowledge graph to form the knowledge point set, so that weak knowledge points of students can be quickly and accurately counted for teachers, and the teachers can quickly know the learning conditions of the students; therefore, a teaching plan can be made more accurately.

The invention discloses a low-code report realization method based on SIS production operation data. According to the method, a data warehouse is constructed based on SIS production operation data, design is carried out according to a hierarchical concept, the action range and data positioning of a data table are defined, a data access port is standardized and unified, a B / S structure is adopted, and data binding of a report data set and a form grid is achieved through a Web visual form designer; besides, zero coding and dragging operation are achieved, and Chinese type complex data reports can be easily completed; in addition, the method can be operated without a technical developer, wherein online visual report design is provided for users, so that the report generation efficiency is improved, and report configuration learning cost is reduced.

The invention provides a petrochemical enterprise sudden accident emergency auxiliary decision-making method. The method comprises an emergency aid decision-making system, the emergency aid decision-making system comprises a server and a plurality of mobile terminals, the mobile terminals are connected with the server in a wireless communication mode, and the server can send instruction information to the mobile terminals and can receive data feedback of the mobile terminals. A hazardous chemical substance database, an emergency disposal scheme database and an accident case database are arranged in the server. The method comprises steps of logging in the server through a user, searching detailed information of the hazardous chemical substances in the sudden accident from a hazardous chemical substance database; and calling out detailed information of the emergency disposal scheme of the hazardous chemical substances from an emergency disposal scheme database and the like to complete emergency disposal of the sudden accident. The method can quickly formulate an effective emergency disposal scheme, can timely and effectively dispose the sudden accident, and avoids greater property and personnel loss.

The invention discloses an object-oriented assessment method and device, and relates to the technical field of computers. The method comprises the following steps: counting replaced index data of various articles of the same category; training a machine learning model according to a training set comprising the replaced index data and the article attribute data of the multiple articles of the samecategory, and learning the replaced indexes to obtain influence factors of article attributes on user decision-making behaviors; and calculating the value of the article according to the influence factor of the article attribute on the decision behavior of the user. Through the above steps, the value of the article to the merchant can be quantified, and the store income of the article brought by influencing the decision behavior of the user is accurately reflected, so that the merchant can conveniently formulate a reasonable article selection scheme.