188results about How to "Avoid backlog" patented technology

The invention, which relates to the technical field of medicine inventory management, discloses an intelligent medicine inventory management and optimization system comprising a demand prediction module, an inventory monitoring module, a purchase decision module and a medicine supply module. The demand prediction module is used for performing drug demand prediction according to historical sales data, seasonal factors and market trends; and analyzing and predicting by adopting a machine learning algorithm. According to the intelligent medicine inventory management and optimization system, based on a multi-objective optimization algorithm, in combination with the inventory turnover rate, the purchase cost and the medicine validity period, a scientific and reasonable purchase replenishment strategy is generated, including purchase time, quantity and supplier selection, and the scientificity and the accuracy of a purchase decision are improved; by integrating historical sales data, seasonal factors and market trends, demand prediction is performed by using a machine learning algorithm, and an accurate drug future demand trend prediction result can be generated.

The invention discloses a fresh commodity replenishment method and system, electronic equipment and a storage medium, and relates to the field of commodity management. According to the method, fresh food hot topics are obtained from social media, demand hotspots are determined according to the fresh food hot topics, weather influence factors are determined according to predicted weather data, and holiday influence factors and seasonal influence factors are determined according to the current date; determining sales influence factors according to the second sales data of the competitor and the first sales data of the target store; through a preset prediction model, according to the sales influence factors, the demand hotspots, the weather influence factors, the holiday influence factors and the seasonal influence factors, determining predicted demand quantities of various fresh commodities in a second preset time period after the current moment; and determining the purchase quantity according to the predicted demand quantity and the stock quantity of the target store, and determining a purchase scheme according to the purchase quantity and the supplier information. By implementing the technical scheme provided by the invention, the accuracy and efficiency of replenishment of fresh commodities are improved.

The invention relates to the technical field of enterprise cloud management, and discloses an ERP enterprise cloud management system, which comprises a system main body deployed based on a cloud computing architecture, the system main body is integrated with a financial management module, an inventory control module, a purchase management module, a sales management module, a production plan module, a human resource management module and a customer relationship management module, and data interaction interfaces and cooperative work mechanisms are arranged among the modules; data are stored by the cloud storage unit, and a data processing task is executed by the cloud operation unit. The ERP enterprise cloud management system breaks data barriers among departments of an enterprise, integrates core modules of financial management, inventory control, purchase management, sales management, production planning, human resource management, customer relationship management and the like, ensures the accuracy and consistency of data, and realizes the cloud management of the enterprise through a data sharing function. All the modules can obtain needed data and information in real time, and seamless transmission and cooperative work of the information are achieved.

The invention discloses a multi-warehouse management warehouse-in and warehouse-out method and a digital warehouse management system, and the digital warehouse management system carries out the data interaction with an enterprise resource management system, a manufacturing execution system, a warehouse control system and a robot control system through an API interface. The method comprises the steps of monitoring data sent by a manufacturing execution system and a handheld terminal in real time, if a raw material warehousing order number sent by the handheld terminal is monitored, executing a raw material warehousing process, if a raw material ex-warehouse request of the manufacturing execution system is monitored, executing a raw material ex-warehouse process, and if a semi-finished product warehousing request of the manufacturing execution system is monitored, executing a semi-finished product ex-warehouse process; and if a semi-finished product warehouse-out request of the manufacturing execution system is monitored, executing a semi-finished product warehouse-in process, if a semi-finished product warehouse-out request of the manufacturing execution system is monitored, executing a semi-finished product warehouse-out process, and if carton data of finished product warehouse-in of the manufacturing execution system is monitored, executing a finished product warehouse-in process. According to the invention, a plane library, a three-dimensional library and a line-edge library are all included in a management range, and meanwhile, the dependence on manpower is reduced.

The invention relates to the technical field of logistics informatization management, and discloses a warehousing method for logistics informatization management, and the method comprises the steps: 1, determining the target and demands of warehouse management, and reasonably planning a warehouse region according to the actual condition of a warehouse; 2, inputting detailed information of the goods into a warehouse management system, and inputting and managing customer information; 3, receiving purchased commodities, and carrying out inventory management and ex-warehouse management; 4, collecting various data in the warehousing operation process in real time, including the warehousing quantity, the ex-warehouse quantity, the stock quantity and the operation efficiency, and providing a decision support function according to a data analysis result; and 5, regularly maintaining and checking the warehouse management system to ensure the stable operation of the system and the safety of data. According to the warehousing system for reducing manual operation and paper file processing and logistics informatization management, automatic equipment, an information system and the Internet of Things technology are adopted, and the management efficiency and accuracy are greatly improved.

The invention relates to the field of allocation, and discloses a spare part allocation method for multiple warehouses, and the method comprises the steps: obtaining spare part inventory information and historical spare part delivery data of each warehouse in a plurality of warehouses; analyzing the stock quantity corresponding to each spare part model to obtain an out-of-stock spare part model of each warehouse, and determining the warehouse corresponding to the out-of-stock spare part model as a spare part receiving warehouse; according to the historical spare part ex-warehouse data and spare part inventory information of each warehouse, a spare part allocation list is determined; sending the spare part allocation list to a plurality of auditing terminal devices; after checking of the spare part allocation list is completed, allocation delivery information corresponding to the spare part allocation list is generated, and the allocation delivery information corresponding to the spare part allocation list is sent to a delivery terminal device corresponding to a target spare part delivery warehouse; and monitoring the allocation and transportation information, and if it is monitored that the allocation and transportation information is received, generating allocation and receiving information of the spare part allocation list. Therefore, multi-warehouse spare part allocation is realized.

The invention discloses an intelligent commodity management method, and relates to the technical field of commodity management. Through the design of the whole method, the efficiency can be improved, the intelligent system can automatically manage a plurality of goods management tasks such as inventory management, purchase decision making and demand prediction, manual intervention is reduced, the management efficiency is improved, inventory optimization is facilitated, the intelligent system can accurately predict demands through data analysis and prediction algorithms, and the management efficiency is improved. The inventory level is optimized according to the prediction result, the inventory overstock or stockout phenomenon is avoided, the inventory turnover rate is improved, the cost is reduced conveniently, the intelligent system can help enterprises to optimize purchasing strategies and reduce the inventory cost, the purchasing cost is reduced through price optimization and other modes, and therefore the overall cost of the enterprises is reduced, and the enterprise experience is improved. The customer satisfaction can be improved conveniently under the overall application, and the customer satisfaction can be improved and the customer loyalty can be enhanced by meeting customer requirements in time, accurately predicting the market trend and providing personalized services and intelligent commodity management.

The invention belongs to the field of data processing and finance, and relates to a message processing method based on a pressure test, which comprises the following steps: constructing a message body according to service attributes and request content data extracted from a pressure test request; when it is judged that the processing load of the message body exceeds a preset threshold value according to the historical processing data, the message features of the message body are added to a message construction rule; extracting a message body key feature from the pressure measurement data and the online monitoring data to adjust a message construction rule; generating a message according to the new message construction rule, and initiating a message request; dynamically adjusting the number of cluster nodes according to the concurrency, obtaining messages corresponding to the message requests based on the processing sequence, and distributing the messages to the cluster nodes according to a load balancing algorithm. The invention further provides a message processing device and equipment based on the pressure test and a storage medium. In addition, the invention also relates to a block chain technology, and request content data can be stored in a block chain. The message body is dynamically constructed, and the message production speed is controlled.

The invention discloses an order configuration method and device considering seasonal requirements, terminal equipment and a computer readable storage medium, and the method comprises the steps: monitoring each piece of equipment in real time, and judging whether the current time belongs to the peak season of the equipment or not; if yes, setting a corresponding safety stock threshold value as a safety stock upper limit value; if not, setting a corresponding safety stock threshold value as a safety stock lower limit value; when the replenishment cycle corresponding to the equipment arrives, detecting the real-time inventory quantity of each piece of equipment in the corresponding metering packet; wherein the replenishment cycle corresponding to the equipment in the peak season is smaller than the replenishment cycle corresponding to the equipment which does not belong to the peak season; and comparing the real-time stock quantity of each device with the corresponding safety stock threshold value, and if the real-time stock quantity of the device is lower than the safety stock threshold value of the device, generating a demand order corresponding to replenishment. According to the invention, the method can better adapt to the change of actual demands, and further improves the flexibility and efficiency of inventory management.

The invention discloses an intelligent cabin networked multi-cabin cooperative scheduling management system and a method thereof, and relates to the technical field of camping intelligent cabins, and the method comprises the following steps: collecting various parameter information generated in the operation process of a central scheduling system, including system load management information and supply chain robustness information, and after the collection, carrying out cooperative scheduling on the system load management information and the supply chain robustness information; and processing the system load management information and the supply chain robustness information. According to the invention, the load distribution index and the supply chain breakpoint index of the central scheduling system are collected in real time, and the data evaluation index is generated, so that the operation state of the system is accurately analyzed. A high-risk state is judged by setting a threshold value, and when a data evaluation index exceeds a reference threshold value, the system immediately generates a high-risk early warning signal to prompt a potential fault or abnormality. According to the method, the response speed of the system to the abnormity is increased, supply chain unbalance or logistics interruption caused by delay is avoided, particularly under the condition of large demand fluctuation, cargo overstock or shortage can be effectively prevented, and stable operation of the supply chain is ensured.

The utility model discloses a sludge filter pressing device for sewage, which comprises a filter pressing box, a filter plate is arranged at the upper end of the filter pressing box, the filter plate is obliquely arranged, a filter pressing bin is arranged at the upper end of the filter plate, a rack is arranged at the upper end of the filter pressing bin, a movable frame is arranged on the rack in a sliding manner, and the movable frame is controlled to slide through a driving mechanism. A filter pressing roller is rotationally mounted in the moving frame and is positioned in the filter pressing bin; a mud scraping device is arranged on one side of the movable frame and comprises a fixed plate, a telescopic rod is fixedly mounted at the upper end of the fixed plate, a lifting rod is arranged at the lower end of the telescopic rod, and a first mud scraping plate is arranged at the lower end of the lifting rod; according to the utility model, the sludge can be scraped to be flat through the sludge scraping device before filter pressing and can be shoveled after filter pressing; through translation of the movable frame, the filter pressing roller can roll on the sludge and extrude the sludge while translating, so that water in the sludge is filtered into the filter pressing box through the filter plate.

The invention relates to the technical field of data processing, and particularly discloses a big data-based automobile part management system, which mainly comprises a defect detection module, a part evaluation module and an inventory management module, the defect detection module is used for detecting to-be-recycled old accessories and screening out unrecyclable old accessories from the to-be-recycled accessories so as to obtain the remaining old accessories as to-be-evaluated accessories; the accessory evaluation module is used for obtaining the to-be-maintained information of the to-be-evaluated accessory, and obtaining the recovery state information of the to-be-evaluated accessory based on the to-be-maintained information. By detecting and evaluating the damage degree of the to-be-recycled old accessories and finally guiding the inventory management module to customize a reasonable purchase and inventory strategy, the stability of a supply chain is ensured, inventory shortage or excess is avoided, inventory overstock and capital occupation are greatly reduced, the purchase efficiency and cost control are improved, and the economic benefit is increased. And higher profit and efficiency are realized, so that the enterprise competitiveness is improved.

The invention relates to the technical field of electric power material distribution management, particularly discloses an electric power material distribution management system and method based on big data, and aims to solve the problems of dispersed material data, inaccurate demand prediction, low distribution efficiency, improper inventory management and the like in an existing system. According to the specific technical scheme, the method comprises the steps of integrating material names, material description information and supplier information, and establishing a unified electric power material database; carrying out preliminary classification and refined classification on the materials by using a clustering algorithm, and adding a label for each type of materials; historical demand data are analyzed, a demand prediction model is constructed, and the prediction precision is improved; dynamic optimal distribution path planning is realized by utilizing a geographic information system technology and a linear programming algorithm, and the distribution efficiency is improved; the stock is dynamically adjusted by calculating the safe stock and the reorder cycle, and stock overstock or shortage is avoided; the distribution plan is dynamically adjusted according to the inventory level and the demand frequency, the distribution process is monitored in real time, and on-time distribution is ensured.

The invention provides an intelligent coal blending combustion method and system, and relates to the technical field of thermal power generation, and the method comprises the steps: collecting combustion parameter information of different coal types, related indexes of each combustor of a boiler corresponding to the combustion parameter information, the consumption amount of each type of fire coal per month, and the minimum load requirement of the boiler; establishing a coal blending combustion DMD model based on the combustion parameter information, the related indexes, the fuel coal consumption amount and the minimum boiler load requirement, wherein the coal blending combustion DMD model is used for minimizing the fuel cost and meeting the boiler load requirement; solving the coal blending combustion DMD model by adopting an Excel planning solving tool, determining the usage amount of each combustor for different coal types, and generating an optimal coal blending scheme; according to the method, the coal blending combustion DMD model based on the combustion parameter information, the related indexes, the fire coal consumption amount and the boiler minimum load requirement is established, and an Excel planning solving tool is adopted for solving, so that the fuel cost can be minimized, and meanwhile, the boiler load requirement is met, and pollutant emission is controlled.

The invention discloses a product production and processing intelligent scheduling method and system based on an M0M system, and relates to the technical field of product production and processing scheduling. Merchant live broadcast sales information of brand clothing in an e-commerce live broadcast platform is collected based on the M0M system, order information data is obtained, and production and processing conditions of manufacturers on clothing of different sizes are combined to obtain a product production and processing intelligent scheduling result. The method comprises the following steps: acquiring order information data, acquiring production information data, analyzing the order information data and the production information data to obtain an order production scheduling index Zjj of each merchant, determining and marking a merchant order needing priority production scheduling according to the size of the order production scheduling index Zjj, merging a plurality of marked orders into a priority production set order, and sending a resource analysis instruction. Through analyzing the size and quantity information and the cloth demand information data and combining with the residual cloth information data, the required original cloth purchase amount Ncg is obtained through fitting, and then a corresponding original cloth purchase plan is formulated.

The invention provides a dynamic bandwidth adaptive control routing system and a dynamic bandwidth adaptive adjustment method. The system comprises a bandwidth control mechanism, a routing switching mechanism and a target bandwidth level monitoring mechanism, the bandwidth control mechanism is used for receiving an access request of accessing a target node by a source node and releasing the access request according to a passing rate corresponding to a configured bandwidth; the routing exchange mechanism forwards the access request to the target bandwidth level monitoring mechanism; the target bandwidth level monitoring mechanism monitors the actual bandwidth of the target node; the target bandwidth level monitoring mechanism also generates a bandwidth adjustment message of the target node by comparing the actual bandwidth with the maximum transmission bandwidth of the target node, and transmits the bandwidth adjustment message to the bandwidth control mechanism corresponding to the source node through the routing switching mechanism; and adjusting the configuration bandwidth for the source node to access the target node.

The invention provides a data management method and system, electronic equipment and a storage medium, and belongs to the technical field of data management. The method comprises the following steps: preprocessing first data to obtain a time-space law of the first data; the first data is original data sent to the background management platform by the vending machine; determining a target data analysis model based on the time-space law of the first data; and inputting the second data into the target data analysis model to obtain a commodity adjustment strategy corresponding to the vending machine. The space-time law comprises time dimension features and space dimension features, and the target data analysis model comprises a time sequence analysis model and a space analysis model. According to the data management method and system, the electronic equipment and the storage medium provided by the invention, the data management efficiency can be effectively improved.

The invention discloses a fabric inventory optimization method and system, and the method comprises the steps: collecting market, sales and production data; predicting a fabric demand according to the collected data; planning fabric purchase and production plans according to the predicted demands, and making inventory space planning in advance; and monitoring the fabric inventory level in real time, and adjusting the purchase and production plan according to the inventory level. According to the invention, market demands and trends can be reflected in real time, fabric demands can be effectively predicted and planned, the inventory level can be dynamically adjusted, and optimal management of fabric inventory is realized.

The invention provides a task allocation method and device based on multistage message queues and a storage medium. The method comprises the steps that tasks are generated in a system, basic information is configured for each task, and the tasks configured with the basic information are pushed to a task pool queue; task messages in the task pool queue and the personal task queue are monitored, the task consumption condition of the personal task queue is analyzed according to the task messages, and an analysis result is obtained; generating an efficiency value parameter according to an analysis result, and allocating the task from the task pool queue to a corresponding personal task queue by using a task allocation rule; when it is monitored that the task state meets the task recycling requirement, a task recycling mechanism is triggered, queue messages of the tasks meeting the task recycling requirement are deleted from the personal task queue, new queue messages are generated, and the new queue messages are pushed to the task pool queue. Tasks can be automatically scheduled and allocated, task overstock is avoided, and the resource utilization rate and the working efficiency are improved.

The invention relates to a power grid monitoring alarm information processing system. A monitoring component is used for generating alarm information; the information processing module is used for carrying out standardization processing and alarm grade classification on the alarm information; the information merging module can merge at least two pieces of power grid alarm information obtained at the same time or in a preset time period and having the same sending port, equipment type or source to form an alarm event; the storage module can be used for storing and backing up the alarm event; the comprehensive assessment module can assess alarm events, and after being triggered by the alarm module to give an alarm, serious events are directly transmitted to the display terminal through the rapid pushing module; the general events are transmitted to a statistical module, and the statistical module is used for controlling and adjusting the pushing frequency of the alarm events according to the number of the alarm events; the data transmission module can be used for transmitting the alarm event pushed by the statistics module to the display terminal; the method has the advantages of being accurate and rapid in information processing and classification and good in use effect.

The invention discloses a warehouse management method and system based on big data, and relates to the technical field of warehouse management, and the method comprises the following steps: 1, data collection and integration; 2, data storage and management; 3, data analysis and intelligent decision making; 4, real-time monitoring and process automation are carried out; and 5, performing performance evaluation and continuous improvement. According to the invention, intelligent decision making and efficiency improvement are realized, through real-time data analysis and prediction analysis, the system can provide real-time inventory state and future demand prediction, and an automatic process is realized, so that decision making quality and warehouse operation efficiency are improved, and human errors are reduced. The intelligent decision support system can provide scientific inventory management suggestions for managers according to historical data and market trends, ensure that the inventory level is matched with market demands, and avoid inventory overstock or shortage.

The invention discloses an unmanned aerial vehicle flight verification management system and method based on big data, and belongs to the technical field of unmanned aerial vehicle flight verification. The power meter sensor is installed on the unmanned aerial vehicle battery for real-time monitoring and verification, the abnormal condition of the unmanned aerial vehicle battery can be found in time, historical data of the unmanned aerial vehicle battery is extracted and analyzed for prediction and calculation, unmanned aerial vehicle damage and task failure caused by battery faults or performance degradation can be avoided, and the unmanned aerial vehicle safety is improved. The maintenance and replacement cost is reduced, it is ensured that each task is supported by enough electric quantity, and the success rate of the task is increased. The battery performance stability of the unmanned aerial vehicle in the flight process is ensured; accidental shutdown or performance reduction is reduced; the reliability of a user on the performance of the unmanned aerial vehicle is improved; the user can know the battery state at any time and plan and adjust the use scheme; the flight verification enables the application of the unmanned aerial vehicle in various fields to be more reliable, efficient and sustainable.

The invention relates to the field of data processing, and provides a vehicle part inventory adjustment method, an electronic device and a vehicle, and the method comprises the steps: obtaining the part type of a target part of a target vehicle and vehicle driving data, inputting the part type and the vehicle driving data into a pre-trained fault prediction model, outputting the fault time of the target part through the fault prediction model; the initial demand quantity of the target part is obtained, the initial demand quantity and the fault time are input into a pre-trained inventory demand prediction model, the target inventory quantity of the target part is obtained through processing of the inventory demand prediction model, and the initial demand quantity is the demand quantity of the target part required corresponding to the fault time; the inventory of the target parts is adjusted according to the target inventory, it is guaranteed that when the target parts break down and need to be replaced, enough inventory is provided for replacement, meanwhile, the problem of inventory overstock of the parts is avoided, and inventory management is optimized.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

The invention relates to the technical field of information statistics management, in particular to an information statistics management platform based on data analysis. Comprising a data acquisition module, a server, a data association module, a data recommendation module and a data maintenance module, the data acquisition module is used for acquiring platform information and personnel information and sending the information to the server for storage; the data association module is used for analyzing data stored in the public platform to obtain an association value and carrying out related content display; the data recommendation module analyzes the matched data and browsing habits of the user to obtain a recommendation value, and performs data recommendation according to the recommendation value; the data recommendation module analyzes the matched data and browsing habits of the user to obtain a recommendation value, and performs data recommendation according to the recommendation value; through multi-dimensional matching and feedback, it is ensured that the content recommended to the user is highly related to the keyword input by the user, the recommendation accuracy is improved, and the problem of the user is also responded in time.

The invention discloses an audio broadcast adjusting method and system and a related device, and the method comprises the steps: obtaining an initial audio of a target object, and determining a translated text corresponding to the initial audio; obtaining a first reference duration corresponding to the initial audio and a second reference duration corresponding to the translated text; and generating an adjusted converted audio based on the translated text, the first reference duration and the second reference duration. By means of the mode, the flexibility of audio broadcasting can be improved, and the user experience can be improved.

The invention discloses a packaging material matching method and system, and the method comprises the steps: obtaining a production task, and taking packaging materials from a production factory if the total matching number of the packaging materials is greater than or equal to the number of list sets of materials needed by the production of products, and the production time is the current day, and the first matching number is greater than or equal to the matching number needed by the production task; if the production date is after the next day, the first matching number is larger than or equal to the matching number needed by the production task, packaging materials are taken from the production factory; if the first matching number is smaller than the matching number needed by the production task, the packaging materials of the first matching number are called from the production factory, and the remaining matching number is called from the safeguard warehouse; and if the total matching number of the packaging materials is smaller than the number of the material lists required by the production of the products, making a purchase plan according to the difference between the total matching number of the packaging materials and the number of the material lists required by the production of the products. Stock overstock of packaging materials in a production factory can be reduced, the warehouse utilization rate and turnover rate are increased, and the production efficiency is improved.

The invention provides a lock configuration method and device for a database, a medium and a product. The lock configuration method of the database comprises the following steps: acquiring an exclusive lock request for database resources; obtaining an exclusive lock of the database resource according to the exclusive lock request; if detecting that the exclusive lock is not successfully acquired, acquiring the type of the lock currently held by the database resource; if the type of the lock currently held by the database resource is the shared lock, a preset exclusive mark is added to the lock state of the database resource and set to be a first mark state, and the first mark state is used for forbidding a lock request except the exclusive lock request to obtain the lock of the database resource. Therefore, even if the current database resource is provided with the shared lock, the exclusive lock request can have more opportunities to obtain the lock of the database resource more preferentially than the shared lock request, so that the database exclusive lock obtaining efficiency is improved to a certain extent; and the condition that the exclusive lock request is blocked for a long time due to the fact that database resources always hold the shared lock is effectively reduced.

The invention discloses a message sending method. The method comprises the following steps: obtaining target message content to be sent to a message receiving end by a message sending end and a message sending requirement of the message sending end; and judging whether the terminal number of the message receiving end is an active 5G terminal number or not. And if the terminal number of the message receiving end is the active 5G terminal number, issuing the target message content to a message, namely a platform, so that the message, namely the platform, sends the target message content to the message receiving end by adopting a 5G message. And if the terminal number of the message receiving end is not the active 5G terminal number, issuing the target message content to a short message intermediate station, so that the short message intermediate station sends the target message content to the message receiving end by adopting a falling short message of the 5G message. According to the invention, whether the 5G message is directly sent or the fallback short message is directly sent can be selected according to whether the message receiving end supports the 5G message, so that the probability of sending failure is reduced to a certain extent, and the problems of channel backlog and information delay caused by re-sending are avoided.

This application discloses a method and system for uploading monitoring data for internet hospitals. The method includes: a data management center monitoring the data to be monitored generated on the internet hospital platform, obtaining the index value of the data to be monitored, and sending the index value to a front-end application terminal; the front-end application terminal obtaining the corresponding data to be monitored based on the index value, adding the data to a message queue, and transmitting the data to be monitored to the monitoring platform based on the message queue. This application uses the data management center to send the index value of the data to be monitored to the front-end application terminal, allowing the front-end application terminal to directly obtain the data to be monitored, avoiding the backlog of data requests between the gateway and the front-end application terminal, ensuring the timeliness and completeness of the data acquisition, and improving the accessibility of the data to be monitored. Simultaneously, the front-end application terminal sends the data to be monitored to the monitoring platform via a message queue, improving the concurrency of the data to be monitored.