29results about How to "Reasonable management" patented technology

The invention relates to the related technical field of refrigeration energy-saving control, in particular to an energy-saving control method and system for refrigeration equipment, and the method comprises the steps: achieving the state linkage of an air valve, a compressor and an air feeder through control logic based on a refrigeration equipment unit; after starting, an initial strategy is formulated according to refrigeration requirements to manage a plurality of microclimate spaces; in combination with video monitoring, personnel tracks are captured, behavior modes are analyzed, a local customized control strategy is generated, and a comprehensive refrigeration control strategy is formulated, so that the technical problem of unnecessary energy waste caused by incapability of accurately matching refrigeration requirements and equipment operation states due to lack of real-time sensing analysis on actual operation conditions is solved; the overall refrigeration demand balance is considered, the local area is considered, the refrigeration intensity is flexibly adjusted, accurate matching between the refrigeration demand and the equipment operation state is achieved, distribution of refrigeration resources is optimized, energy waste is effectively reduced, the overall operation efficiency is improved, and the technical effect of energy-saving, intelligent and efficient management of the refrigeration equipment is achieved.

The invention relates to the technical field of intelligent interaction control, and discloses a dynamic loading method and device for an intelligent interaction control unit of a television box. The method comprises the following steps: performing data mining on a user operation log to obtain a function module classification list, a use frequency statistical table and a dependency graph; and performing modular reconstruction on the software system based on the classification list to generate a function module package. And constructing a dynamic priority queue by using the frequency statistical table and the dependency graph. And carrying out predictive module loading in combination with the priority queue and the function module packet to obtain a loaded module list and a resource allocation state. And unloading the intelligent module according to the loading condition, and updating a module list and a resource use state. And executing incremental updating based on the version information in the module packet, updating the functional module packet and reconstructing the dynamic priority queue to obtain a target priority queue. According to the method, the resources can be flexibly allocated according to actual requirements, resource waste caused by static loading is avoided, and the resource utilization efficiency is improved.

The invention discloses a connection tracking management method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: receiving a virtual machine creation request, and determining a target network to which a to-be-created virtual machine belongs according to the virtual machine creation request; determining the port limit number of the target network by the current host machine, and determining the existing port number of the target network in the current host machine; when the number of the existing ports is lower than the port limit number, determining the total connection tracking limit number of the current host machine, the total connection tracking number of the existing ports and the single-port connection tracking number of the target network; and when the sum of the existing port connection tracking total number and the single port connection tracking number does not exceed the connection tracking limit total number, executing the virtual machine creation request. By applying the technical scheme provided by the invention, the connection tracking in the host system can be managed more reasonably and effectively, the maximum utilization of host resources is realized, and the stable operation of the host system is ensured at the same time.

The invention belongs to the technical field of official vehicle management, and particularly discloses an official vehicle driving safety assessment method and system and a program product, and the method comprises the steps: collecting driving data in real time in an official vehicle use process, carrying out the data processing and feature extraction, and carrying out the risk recognition through employing a corresponding risk recognition network model based on the extracted features. According to the method, the corresponding risk category and probability are determined, then the risk level, the risk feature and the suggested measure are further judged, and finally the risk information is summarized to generate the safety assessment report for output, so that efficient driving safety assessment of the official vehicle can be realized, the risk identification capability is improved, and data-driven decision support is provided for safety management personnel; the safety consciousness of a driver can be enhanced, and the traffic safety accident rate of official vehicles is reduced.

The invention relates to the technical field of production management, in particular to a high-frequency transformer production intelligent management system which comprises a production management platform, a production information unit, an energy efficiency division unit, a facility factor unit, a dynamic monitoring unit, a preferred production unit and a management response unit. According to the method, low-consumption, high-efficiency and stable production of the transformer is realized by analyzing the energy efficiency and stability of the transformer production line, namely, processing supervision division evaluation analysis is performed on processing data, and the transformer production line is analyzed from the aspects of product quality and energy consumption, so that low-consumption and high-efficiency production of the transformer production line is ensured; and operation stability supervision division analysis is carried out from the aspect of stability, so that the transformer production line is divided based on dynamic stability, production line preferential recommendation supervision analysis is carried out in an information feedback mode, reasonable and targeted management on the transformer production line is facilitated, and meanwhile, reasonable recommendation of the transformer production line is facilitated.

The invention discloses a device cleaning method, an electronic device and a computer readable storage medium. The method comprises the steps that the total cache amount of a plurality of first preview files stored in a target storage device is acquired; wherein the target storage device is a device used for storing first preview files corresponding to different target files in the cloud disk, and the first preview files are generated when the client requests to preview the corresponding target files; based on the total cache amount of the first preview files, detecting whether the target storage equipment meets a cleaning starting condition or not; and in response to the condition that the target storage device meets the cleaning starting condition, cleaning the first preview file in the target storage device. By means of the mode, the first preview file in the target storage device can be cleaned in time, the first preview file in the target storage device can be reasonably managed, and the storage space of the target storage device is saved.

The invention relates to the technical field of carbon emission supervision, in particular to an intelligent carbon emission supervision system based on data analysis, which comprises a carbon emission management platform, a database, a measurement interference analysis unit, a regional emission supervision unit, a regional trend division unit, a regional optimization evaluation unit and a carbon emission display unit. The environmental interference information of the target monitoring area is preliminarily analyzed so as to eliminate the influence of environmental factors on carbon emission supervision, regional carbon emission safety supervision analysis is performed on the carbon emission information in an information feedback manner, each region block is divided according to the carbon emission information, and the carbon emission safety supervision analysis is performed on the carbon emission information. In this way, the carbon emission condition of each area block is reasonably managed, the carbon emission condition of each sub-area block is visually and accurately known, and at the same time, whether the carbon emission management scheme of the target monitoring area needs to be adjusted is analyzed from the angle of area change, so that the carbon emission of the target monitoring area is reduced. And thus, the environment quality of the target monitoring area can be improved.

The invention provides an MES and WMS-based intelligent manufacturing and warehouse-in and warehouse-out management method and related equipment, and is applied to the technical field of data processing. The method comprises the steps of obtaining target park information and a product warehousing request sent by a target terminal; processing the product warehousing request, and generating attribute information and product identification information of the target material; processing the material identification information and the target park information, and generating warehouse-out priorities of the to-be-warehoused products; processing the target park information based on the attribute information of the target material, and generating storage information of the to-be-stored product; processing the product identification information based on the attribute information of the target material, and generating preset warehouse-out information of the to-be-warehoused product; processing the storage information of the to-be-warehoused product and the preset warehouse-out information of the to-be-warehoused product based on the warehouse-out priority of the to-be-warehoused product, and generating target warehouse-out information; and processing the storage information of the to-be-warehoused product and the target warehouse-out information to generate warehouse-in and warehouse-out management information.

The present invention relates to the technical field of network drive test management, and in particular to a 5G wireless network drive test management system based on data analysis, comprising a drive test management platform, a drive test information unit, a partition analysis unit, an available evaluation unit, a drive test quality unit, a progressive analysis unit, a time period feedback unit and a management response unit; the present invention analyzes from two points of view, namely, network experience and network quality, so as to rationally manage the target wireless network according to the drive test results, that is, network availability evaluation feedback analysis is performed by means of information feedback to ensure the application stability of the target wireless network, and the drive test results of the target wireless network are analyzed from the perspective of comprehensive network quality to manage and improve the network quality of the target wireless network, and the drive test is performed by combining experience and network quality to improve the network performance of the target wireless network, while meeting the actual needs of users and providing stable and high-speed network connection.

The invention relates to the technical field of battery performance detection, in particular to a new energy automobile battery performance detection system based on data acquisition and analysis, which comprises a battery information unit, an instantaneous discharge unit, a time period discharge unit, an interactive division unit, a live charging unit, a charging and discharging performance unit and a display feedback unit, according to the method, analysis is carried out from the two aspects of discharging performance stability and charging performance stability, and combined analysis is carried out on the discharging stability level and the charging stability index of discharging in a progressive mode, so that the charging and discharging performance stability level of the target battery is comprehensively known, reasonable management is carried out on the target battery, and the charging and discharging efficiency of the target battery is improved. Analysis is carried out from two dimensions of instantaneity and time period in discharge performance stability, so that the discharge performance stability level of the target battery is comprehensively divided, real-time charge performance stability division operation is carried out on the charge data, and meanwhile, data support is provided for subsequent charge and discharge performance stability analysis of the target battery.

The invention relates to the technical field of ventilation cabinet performance monitoring, in particular to a biological laboratory ventilation cabinet operation performance monitoring system and method and a medium, and the system comprises a ventilation monitoring platform, a ventilation data unit, a ventilation operation efficiency unit, an airflow characteristic unit, a performance interference unit, a regulation and control response unit and a ventilation processing unit. Analysis is carried out from two points of operation and regulation and control response, so that accurate monitoring of the operation performance of the laboratory fume hood is realized, the operation stability of the laboratory fume hood is ensured, ventilation performance deviation risk analysis is carried out on ventilation performance data to judge whether the ventilation efficiency of the laboratory fume hood is qualified or not, and the operation efficiency of the laboratory fume hood is qualified or not. According to the method, early warning feedback management is carried out in time, ventilation characteristic data is further subjected to ventilation flow supervision analysis, analysis is carried out from the angle of gas flow, comprehensive analysis is carried out in combination with interference factors, the diversity of analysis data is improved, and accurate analysis of the operation performance of the laboratory ventilation cabinet is facilitated.

The present application discloses a control method, device, equipment, medium and product for a storage-charging integrated machine site, and relates to the field of charging and discharging technology, wherein the method comprises: sending predicted regulation data of a control period to the storage-charging integrated machine site; the predicted regulation data is generated based on the load forecasting model corresponding to the storage-charging integrated machine site; receiving the declared regulation data sent by the storage-charging integrated machine site; the declared regulation data is generated based on the predicted regulation data; generating a control instruction corresponding to the storage-charging integrated machine site based on the winning regulation data; the control instruction carries the final regulation data corresponding to the storage-charging integrated machine site; the final regulation data is obtained by splitting the winning regulation data based on the regulation data declared by the storage-charging integrated machine site; issuing corresponding control instructions to the storage-charging integrated machine site to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final regulation data. The method can enhance the regulation capability and stability of the power grid.

The invention provides a group chat management method and device based on task nodes, equipment and a storage medium, and relates to the technical field of information management, and the method comprises the steps: presetting a task node arrangement sequence, creating a target group chat associated with a target question when monitoring information of the target question meets a group chat triggering condition, and according to the task node arrangement sequence, creating a group chat associated with the target question; and sequentially adding the target users corresponding to the task nodes to the target group chat. As the target group chat can be automatically created when the monitoring information of the target problem meets the group chat triggering condition, a user does not need to create the target group chat, and waste of resources is avoided. The target users are sequentially added according to the sequence of the task nodes, management of the group chat is more reasonable, tracking of the target problem is facilitated, the target users are added according to the sequence of the task nodes, the target users in the target group chat can discuss for the same task node, instant messaging can be achieved, and the problem solving efficiency can be improved.

The invention relates to the technical field of power equipment charging and discharging performance detection, in particular to an energy storage equipment charging and discharging performance detection system based on multi-terminal analysis, which comprises a charging and discharging performance detection platform, an energy storage information base, a charging performance division unit, a performance degradation analysis unit, a discharging performance evaluation unit, an attenuation interference analysis unit and a display unit, the charging information of the energy storage equipment is analyzed, so that the charging performance of the energy storage equipment can be evaluated and fed back, the descending level of the charging performance of the energy storage equipment can be known, the discharging risk information of the energy storage equipment is analyzed, the attenuation interference factor of the energy storage equipment is combined for analysis, and the charging performance of the energy storage equipment can be evaluated and fed back. The charge and discharge performance degradation risk of the energy storage equipment can be analyzed easily, charge and discharge performance degradation of the energy storage equipment is analyzed in a progressive mode, the charge and discharge performance degradation condition of the energy storage equipment can be known visually, and the energy storage equipment can be managed reasonably and pertinently.

The present invention relates to a grafted tree body, and more particularly to a multi-layer grafted tree body and a grafting method for a grafted tree body and a harvested tree body in the next year. At present, walnut grafting is a traditional grafting method, and these grafting methods have a relatively low survival rate, and grafting wounds are difficult to heal, and it is difficult to survive the winter, and economic benefits cannot be generated in time. The present invention includes a rootstock and a multi-layer fringe grafted on the rootstock, wherein the bark is peeled off at each grafting position of the rootstock to form a grafting vertical groove; the lower half of the fringe is cut into a long inclined plane, and the long inclined plane at the lower end of the fringe is behind a short inclined plane, and the old skin is cut from the upper end of the short inclined plane and the back of the long inclined plane to form a vertical plane; the long inclined plane, short inclined plane and vertical plane of the fringe are inserted into the grafting vertical groove of the rootstock. The present invention provides a grafting operation that is simple and convenient, the rootstock is lightly injured, and multi-layer grafting is performed to increase the fruiting part. Healing is easy, the survival rate is high, and it is more than 90%, it is not easy to be blown down by wind and sand, 100% can safely survive the winter, and the grafting results early and the yield is high.

The invention relates to the technical field of artificial intelligence data processing, and provides a traffic data fusion method and system based on multi-source perception, which collects traffic conditions and demand data, improves the data processing efficiency through position labels and grouping, improves the data consistency through space-time matching optimization, and improves the data fusion efficiency. According to the multi-source traffic data fusion method, the data quality is guaranteed through anomaly detection and correction, systematization is constructed to improve the intelligent level of traffic management, the problem of space-time difference in multi-source traffic data fusion is effectively solved, and the efficiency of traffic management and the scientificity of decision making are remarkably improved.

The present invention relates to the technical field of air intake control for a coke oven carbonization chamber, and in particular to an air intake control system for a coke oven carbonization chamber, comprising an air intake control platform, a coke oven database, a pressure supervision and analysis unit, an air intake risk assessment unit, a pressure regulation tracking unit, an obstruction control analysis unit and a control response unit; the present invention analyzes from the perspective of setting a safe range of pressure in the carbonization chamber, and determines whether the pressure in the coke oven carbonization chamber fluctuates within a normal range, so as to timely perform air intake pressure regulation on the coke oven carbonization chamber, balance the pressure stability of the coke oven carbonization chamber, and help improve the working efficiency of the coke oven carbonization chamber, and under the demand for air intake pressure regulation in the coke oven carbonization chamber, perform regulation, supervision, evaluation, feedback analysis on the pressure regulation information, and determine whether the air intake control of the coke oven carbonization chamber is normal, so as to provide timely feedback and early warning, reduce the impact caused by excessively high or low pressure in the coke oven carbonization chamber, and help improve the reliability of air intake management in the coke oven carbonization chamber.

The invention provides a management method and device for photovoltaic generating capacity of an expressway service area. The method comprises the following steps: acquiring electric quantity Qg generated by a photovoltaic module corresponding to a target expressway service area in each unit time period in a first preset time period; acquiring information of vehicles entering the target expressway service area in each unit time period in the first preset time period, and acquiring electric quantity Qc required by the target expressway service area in each unit time period based on the acquired vehicle information; for the s-th unit time period, if Qgs corresponding to the unit time period is greater than Qcs, storing the residual electric quantity, and if Qgs is less than Qcs, providing electric quantity Qd to obtain the available electric quantity corresponding to the s-th unit time period; and obtaining the maximum power consumption in the available power consumption in the first preset time period as the reference power consumption, and obtaining the capacity of the storage battery based on the reference power consumption. The photovoltaic generating capacity can be reasonably managed.

The present invention relates to the field of fault inspection and early warning technology, and in particular to an intelligent inspection and early warning system suitable for new energy wind power generation faults, comprising an inspection and early warning platform, an inspection information unit, an operation deviation unit, a cooling evaluation unit, a verification and analysis unit, and a fault management unit; the present invention analyzes from two points of the state performance of the generator main shaft and the cooling mechanism when it is monitored that the temperature rise of the generator of a certain wind turbine in the wind power generation system is abnormal, and at the same time, on the premise that the main shaft is normal, further analyzes the generator from an overall perspective to reduce the failure risk of the target generator, and performs cooling performance supervision and evaluation operations on the cooling mechanism to determine whether the abnormal temperature rise of the target generator is caused by the abnormal cooling of the target generator, and analyzes by means of information feedback and information fusion, so as to carry out reasonable and targeted management, so as to improve the management efficiency and operation safety of the target generator.

The present invention relates to the field of fire safety management technology, and in particular to an intelligent fire safety management system based on Internet of Things data analysis, comprising a management platform, a fire supervision unit, a delay feedback unit, a safety supervision unit, a management matching unit, a management matching unit and an early warning processing unit; the present invention analyzes from two perspectives: a monitoring front end and an early warning back end, so as to reduce the influence of the monitoring front end and the early warning back end on subsequent firefighting, and at the same time, reasonably and targetedly manages the fire monitoring area in combination with the rescue impact situation, that is, accurately manages the fire monitoring area by means of information feedback, so as to reduce the influence of the monitoring front end, the early warning back end and the rescue impact situation on the subsequent firefighting and rescue in the fire monitoring area, which helps to reduce the degree of obstruction to subsequent firefighting and rescue, and at the same time helps to improve the rationality and overall safety of fire management in the fire monitoring area.

The invention provides an automatic information acquisition device for medical instrument equipment management, and belongs to the technical field of equipment management, and the device comprises a lifting frame assembly which comprises four lifting driving assemblies and an L-shaped moving frame; the four moving frames are detachably connected end to end, are arranged on the outer side of the medical instrument bent frame through the four lifting driving assemblies correspondingly and are driven to ascend and descend through the four lifting driving assemblies. The rack frame assembly comprises four L-shaped racks which are detachably connected end to end, and the racks are fixedly arranged on the inner sides of the four movable frames; an arc-shaped inner gear ring is arranged at the right angle of the rack; the gear moving assembly is erected on the rack and meshed with the rack; the gear moving assembly is self-driven to move along the rack; a plurality of unit arms; one unit arm is fixedly arranged on the gear moving assembly, and the adjacent ends of the rest unit arms are hinged in sequence; a rotating motor is arranged at the hinged point of each unit arm to drive the unit arm to swing; and the image acquisition assembly is arranged at the end part of the tail end unit arm. The device can automatically collect and process instrument image data, accurately recognize instrument types and reasonably manage the instrument types.

The invention relates to the technical field of operation environment safety detection, in particular to an electric power infrastructure construction site operation environment data safety detection method. According to the method, analysis is carried out from the two points of the target infrastructure construction site before construction and the construction process so as to understand the regional environment safety condition of the construction site and make reasonable management adjustment, analysis is carried out from the angle of construction obstruction before construction so as to make a scientific construction scheme according to the regional environment safety condition of the construction site, and the construction efficiency is improved. The two environments inside and outside the foundation pit in the construction process are further analyzed in an information feedback mode, so that the risk level of the environment outside the foundation pit of the current target infrastructure construction site is known, and the environment inside the foundation pit of the target infrastructure construction site is managed and adjusted; and foundation pit environment safety quantitative evaluation processing based on information interaction analysis facilitates reasonable and targeted management and adjustment so as to improve the construction environment safety of the target infrastructure construction site.

The present invention relates to the technical field related to refrigeration energy-saving control, and specifically includes an energy-saving control method and system for refrigeration equipment, including: based on a refrigeration equipment unit, realizing the interlocking of air valve, compressor and blower status through control logic; formulating an initial strategy to manage multiple microclimate spaces according to refrigeration demand after startup; combining video surveillance to capture personnel trajectories, analyze behavior patterns, generate local customized control strategies, and formulate comprehensive refrigeration control strategies to solve the technical problem of being unable to accurately match refrigeration demand and equipment operating status due to lack of real-time perception and analysis of actual operating conditions, thereby causing unnecessary energy waste. The global refrigeration demand balance is considered, while taking into account local areas, and the refrigeration intensity is flexibly adjusted. The accurate matching between refrigeration demand and equipment operating status optimizes the allocation of refrigeration resources, effectively reduces energy waste, improves overall operating efficiency, and achieves the energy-saving, intelligent and efficient management technical effects of refrigeration equipment.

The invention discloses a process management method and device of a virtual machine architecture, electronic equipment and a storage medium, which are applied to an IO transmission management service in communication connection with a virtualization management service, the IO transmission management service is in communication connection with each IO transmission process, and the virtualization management service is in communication connection with each virtual machine process. The method comprises the following steps: performing event monitoring on a virtualization management service to obtain a virtual machine management event; the virtual machine management event is obtained by performing event monitoring on each virtual machine process by the virtualization management service; determining a target virtual machine process and a process state of the target virtual machine process according to the virtual machine management event; and determining a target IO transmission process of a target virtual machine to which the target virtual machine process belongs, and managing the target IO transmission process according to the process state of the target virtual machine process. By applying the technical scheme, the IO transmission process in the virtual machine architecture can be reasonably and effectively managed, so that the stable operation of the system is further ensured.

The invention relates to the technical field of reservoir monitoring, and particularly discloses a multi-modal small reservoir impounded water monitoring system, which comprises a data acquisition module, a model construction module, a data monitoring module, an impounded water decision estimation module and a database module which are electrically connected with one another, the data acquisition module obtains three-dimensional topographic data and water level data of the small reservoir through unmanned aerial vehicle surveying and mapping, and the model construction module is used for constructing a three-dimensional model of the small reservoir according to the three-dimensional topographic data and the water level data; the data monitoring module is used for acquiring real-time water level data of the small reservoir, the remaining reservoir capacity of the reservoir and the water inflow speed; the water storage decision pre-estimation module calculates a pre-estimation decision of the small reservoir through a pre-trained water storage estimation model according to the water inflow speed of the small reservoir and the residual reservoir capacity of the reservoir; the objective of the invention is to solve the problem that an existing reservoir prediction model is lack of pre-estimation and judgment of future water retaining operation of a plurality of small reservoirs.

The present invention discloses a method, system, electronic device and storage medium for super-resolution and priority scheduling of computing power cards, including dividing a single physical GPU into multiple logical GPU instances, presetting a single physical GPU super-score and a core number limit and a video memory limit for each logical GPU instance; registering the super-score, core number limit and video memory limit to the Kubernetes of the node; the Kubernetes scheduler identifies the declaration of the super-score, core number limit and video memory limit by the Pod during the scheduling process, and implements different scheduling strategies; the scheduling strategy includes a Binpack strategy and a Spread strategy, the Binpack strategy selects the highest score for scheduling, and the Spread strategy selects the lowest score for scheduling. The present invention effectively reduces the card fragmentation rate, and through a sophisticated scheduling strategy and super-resolution technology of GPU resources, can more reasonably allocate and manage GPU resources, reduce GPU fragmentation caused by improper resource allocation, and improve resource utilization efficiency and system performance.

This application relates to the field of electrical equipment technology and provides a method, apparatus, and system for power-on management of load terminals, including: after detecting a first voltage, acquiring an unlocking message from a first secondary unlocking device, the unlocking message of the first secondary unlocking device indicating whether the load terminal is connected to a control device; if it is determined from the unlocking message of the first secondary unlocking device that the load terminal is not connected to the control device, then disabling the power supply circuit for a second voltage of the load terminal, the second voltage being higher than the first voltage; and sending a circuit disable message to the control device, the circuit disable message indicating that the power supply circuit for the second voltage of the load terminal is disabled. This method helps reduce the probability of safety hazards arising from the activation of the second voltage power supply circuit.

The invention discloses an engineering mechanical equipment management control system and method. The system comprises a first information acquisition unit, a second information acquisition unit, an equipment management unit, a judgment unit, a maintenance instruction sending unit and a storage unit, the first information acquisition unit is used for acquiring real-time basic information of the equipment; the second information acquisition unit is used for acquiring constant basic information of the equipment and the workshop; the equipment management unit is used for recording operation conditions and equipment states of all equipment, recording workshop access information of the equipment, making a maintenance plan and reporting equipment maintenance; the judgment unit is used for judging whether the equipment needs to be submitted for maintenance based on the real-time basic information and the equipment warranty age limit; the maintenance instruction sending unit is used for sending an instruction to the maintenance management unit and submitting the instruction to a management office to maintain the equipment; the large and medium-sized mechanical equipment management system can perform intelligent management on large and medium-sized mechanical equipment, and realizes scientific and reasonable equipment management.

The invention discloses a supplier list updating method and system based on the Internet of Things, a terminal and a medium, and relates to the technical field of computers, and the technical scheme is characterized in that service execution parameters of suppliers are analyzed through an index quantification model; analyzing the distribution condition of the service execution parameters of the suppliers in the service execution parameters of all suppliers, and determining collaborative priority values of the suppliers; analyzing the change trend and change degree of the collaborative priority values of the suppliers in the collaborative priority values of all suppliers, and determining list updating parameters of the suppliers; and when the absolute value of the list updating parameter exceeds a set threshold value and the list updating parameter is a negative value, moving the corresponding supplier from the actual supply list to the total supply list, and reducing the priority level of the corresponding supplier at the same time. According to the method, the influence of objective factors in a large environment is eliminated, and the situation that batch suppliers are replaced at the same time can be effectively avoided; and the overall quality of a supply system can be continuously improved in a long-term supplier management process.