69results about How to "Avoid backlog" patented technology

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 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 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 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 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 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 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.

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.

The invention relates to a PLC data acquisition control method and device for an AI exhibition hall, equipment and a medium, and the method comprises the steps: executing an acquisition control code, carrying out the statistics of a data volume index of PLC data at a current moment based on a preset first acquisition frequency, and constructing an observation data volume at the current moment according to the data volume index; according to the observation data volume at the current moment, the historical smooth data volume at the previous moment, the maximum response coefficient and the minimum smooth coefficient, calculating and determining a dynamic smooth coefficient of the data volume index; calculating and determining the smooth data volume at the current moment, calculating and determining the collection frequency adjustment amount of the first collection frequency by adopting a preset PID control algorithm, updating the first collection frequency to determine a second collection frequency, and continuing to collect the PLC data of the target interaction object by the central control system of the AI exhibition hall according to the second collection frequency; and repeating the steps until the PLC data of each target interaction object in the AI exhibition hall is acquired. According to the invention, the problems of blocking and poor real-time performance of a traditional PLC data acquisition system can be solved.

The invention discloses a supply chain management method and device for cross-border e-commerce, and relates to the technical field of logistics management. According to historical transaction data, determining statistics of each feature and target commodity sales volume in each time period, and sorting the statistics from high to low to obtain a feature correlation sorting set; and obtaining a first preset number of features in the feature correlation sorting set to obtain a second feature set, performing effective feature screening on the second feature set through sequential forward selection, performing clustering, performing sales prediction to obtain predicted sales, and performing supply chain management according to the predicted sales of all retailers. Through deep analysis of different features and a sequential forward selection method, features most relevant to sales volume prediction can be screened out, unnecessary noise and errors are reduced so that a prediction result is more accurate, then resource allocation is performed according to the prediction result, the phenomena of stock overstock and stockout caused by uneven resource allocation are avoided, and the resource allocation efficiency is improved. And the efficiency and the operation effect of the supply chain are improved.

The invention is suitable for the technical field of image processing, and provides an image processing method and device and a chip, and the method comprises the steps: dividing a to-be-processed image into a first image block and a second image block; respectively acquiring a statistical value of each pixel point of the first image block and the second image block, and determining a path for writing the statistical values into a DDR module; wherein the path is written into the DDR module through the SRAM space, and the SRAM space can store statistical information of a preset data volume. According to the invention, the occupied area of the SRAM can be effectively controlled and reduced when the high-resolution image is processed.

The invention relates to the technical field of injection molding processing, and discloses a regenerated polypropylene injection molding device which comprises a conveying assembly and an injection molding assembly with the input end provided with a discharging assembly. A feeding opening is formed in the side face of the discharging assembly; the conveying assembly comprises a liquid collecting box provided with a liquid collecting cavity, one end of the liquid collecting box is fixedly connected to the side face of the discharging assembly, the inner wall of the liquid collecting cavity is rotationally connected with a conveying plate used for filtering the regenerated polypropylene material through a rotating shaft, and one end of the conveying plate penetrates through the feeding port to be located in the discharging assembly. A drying mechanism is further arranged on the liquid collecting box; the output end of the driving assembly is intermittently connected with an intermittent transmission assembly. According to the regenerated polypropylene injection molding device, independent treatment steps and equipment after regenerated polypropylene injection molding and cleaning are reduced, injection molding and feeding work can be continuously carried out, the operation process is simplified, the operation difficulty and time cost are reduced, and the production efficiency is improved.

The present disclosure provides a data management method and system, electronic equipment, and storage medium, which belongs to the field of data management technology. The method includes: preprocessing first data to obtain the spatiotemporal law of the first data; the first data is the original data sent by the vending machine to the background management platform; determining the target data analysis model based on the spatiotemporal law of the first data; inputting the second data into the target data analysis model to obtain the commodity adjustment strategy corresponding to the vending machine. The spatiotemporal law includes time dimension characteristics and space dimension characteristics, and the target data analysis model includes a time series analysis model and a space analysis model. The data management method and system, electronic equipment, and storage medium provided by the present disclosure can effectively improve the management efficiency of data.

A high-efficiency filling machine for medical capsules comprises a base and a bracket arranged on the base, a storage bin is arranged on the bracket, a first support plate is arranged on one side of the base, a first mounting seat is arranged on the first support plate, a first motor is mounted on the first mounting seat, a transmission shaft of the first motor extends to the inner side of the storage bin and is connected to one end of a rotating shaft, the other end of the rotating shaft is movably arranged on the inner side wall of the storage bin, and a plurality of flexible paddles are arranged on the rotating shaft at intervals along the circumferential direction of the rotating shaft; not only can it avoid that capsules in the storage bin are easily adhered to, causing the capsules to be easily stuck during canning by the filling machine and unable to be canned, but it can also avoid that the capsules are easily adhered to each other, causing inaccurate counting during canning and unable to accurately measure; multiple discharge pipes are canned at the same time, not only the canning efficiency is high and the canning speed is fast, but also the canning of some of the discharge pipes does not affect the canning of other discharge pipes, thereby realizing fast, accurate and efficient canning.

This utility model discloses a blanking and flattening device and operating mechanism, belonging to the field of blanking and flattening technology. The flattening device includes a fixed base, a flattening frame, a pressure mesh, and a driving assembly. The fixed base is located at the bottom of the overall flattening device; the flattening frame is placed on the upper end of the fixed base, with a hollow center, and the pressure mesh is placed within the hollow center and fixedly connected to the flattening frame; the pressure mesh protrudes from the lower end face of the flattening frame; the driving assembly is located on one side of the flattening frame, and its output component is fixedly connected to the flattening frame, enabling the flattening frame to move along the height direction. It can optimize the flattening effect and, when combined with a vision camera and an adsorption device, improve blanking accuracy.

The invention relates to a dustproof power cabinet, which belongs to the technical field of power cabinets and comprises a cabinet body, a front opening is formed in the side wall of the cabinet body, a protective door is rotatably mounted in the front opening, an observation window is arranged at the upper part of the protective door, a rear opening is formed in the side wall, opposite to the front opening, of the cabinet body, and a clamping plate is fixed on the side wall, below the rear opening, of the cabinet body. A clamping plate is arranged on the side wall of the cabinet body, one end of the clamping plate extends obliquely upwards, a filter plate is clamped between the clamping plate and the side wall of the cabinet body, a through hole is formed in the filter plate, a dustproof layer is arranged in the through hole, a movable plate is arranged above the filter plate, and a heat dissipation assembly is arranged above the movable plate. The sealing effect is poor after the protection door is closed, at the moment, the sealing frame body can be extruded between the cabinet body and the protection door through the triggering mechanism, the sealing effect is further achieved, meanwhile, the electric power cabinet can prevent heat from being accumulated in the cabinet body, and dustproof heat dissipation can be provided for the interior of the cabinet body while the sealing protection effect is good.

The invention belongs to the technical field of computers, and particularly relates to a message management method which comprises the following steps: when a message sent by a producer is received, writing the message into a message queue; the membrane potential of the message queue is determined according to a pulse code corresponding to the message, the pulse code is used for simulating the resource consumption of the message, and the membrane potential is used for simulating the consumption pressure of the message queue; and returning a response signal to the producer according to the membrane potential, wherein the response signal is used for indicating the producer to adjust a message production strategy. The stability and the resource utilization rate of the message management system can be improved.

The embodiment of the invention provides an agriculture and light complementation meteorological monitoring and application system and a control method thereof, the outer edge of a photovoltaic panel is provided with a drainage pipeline, the drainage pipeline is provided with a drainage hole, the drainage hole is connected with a water inlet hole through a connecting water pipe, and a water storage tank stores an external water source flowing in from the water inlet hole; the centrifugal pump pumps an external water source from the lowest position of the water storage tank to the highest position of the water storage tank through crossed water pipes; when water flows out of the water storage tank, the centrifugal pump pumps an external water source from the lowest position of the water storage tank to the highest position of the water storage tank through the crossed water pipes, and the external water source flows to the sprinkling irrigation pipe network through the water outlet hole in the highest position; the regional meteorological monitoring module collects meteorological data; the data analysis module generates irrigation decision data and crop illumination data based on the meteorological data; the control module adjusts the inclination angle of the photovoltaic panel, controls operation of the centrifugal pump, controls opening and closing of the controllable intercepting valve, controls opening and closing of water outlet holes of the water storage tank and controls irrigation of the sprinkling irrigation pipe network. The light utilization rate is improved; and an external water source is utilized for irrigation.

The invention relates to the technical field of pipe fitting shunting, in particular to a shunting pipe fitting and a gallium nitride production waste gas exhausting device. In the shunting pipe fitting, the control core is matched with the main pipe body. The side wall of the main pipe body is further provided with a flow dividing opening. The main pipe body is sleeved with the matching ring, and the matching ring seals the flow dividing opening. The flow dividing pipe is connected to the matching ring. The matching ring is provided with a communicating hole used for communicating the flow dividing opening with the flow dividing pipe. And when the mobile phase is not introduced into the main pipe body, the control core is propped against the stop block and seals all the shunting ports, and the end part of the shunting pipe naturally droops to be disconnected from the matched channel. When a mobile phase is introduced into the main pipe body, the mobile phase pushes the control core so as to open the shunting port, at the moment, the driving rod drives the sliding strip to move, and the sliding strip jacks up the shunting pipe corresponding to the opened shunting port, so that the corresponding shunting pipe is communicated with the matching channel. The proper number of shunting branches can be automatically matched according to the real-time flow of the fluid, and the adaptability to the fluid with the flow possibly changing at any time is improved.

The embodiment of the invention provides a material carrying method, device and system, which are used for receiving order demands issued by an upstream system, accurately analyzing target products and quantity, determining required materials, splitting a large batch of orders into a plurality of small batch of accurate orders, adapting to order quantity change, avoiding interruption caused by material shortage or capacity upper limit, and improving the material carrying efficiency. Stable and efficient production is ensured. According to the method, the whole process from order receiving to material carrying is automatic, labor cost is reduced, efficiency reduction and quality problems caused by human errors are reduced, and the carrying success rate and production line reliability are improved. And the carrying task number and the target point location are accurately controlled, and material overstock waste is avoided. When the order changes, the system quickly adjusts the carrying plan, improves the material utilization rate, reduces idle waste, and reduces loss and damage risks. In conclusion, manual intervention is reduced through intelligent and automatic carrying, the carrying success rate and efficiency are improved, waste is avoided, and the production efficiency and the product quality are improved.

The embodiments of the present invention relate to the field of interrupt control technology, and disclose methods, devices, systems, equipment, media and products for processing interrupt information. The method includes: determining the interrupt information to be sent; obtaining configurable information including an interception enable flag and an interception feature; when the interception enable flag indicates that interception is turned on and the interrupt information to be sent matches the interception feature, the interception status of the interrupt information to be sent is determined. Based on the configurable information, the interception status of the interrupt information matching the interception feature is determined to avoid a large amount of repetitive interrupt information being accumulated at the host, thereby improving the efficiency of the host in processing interrupts. The configurable interception method improves the control flexibility. Based on the interception statistical characteristics of the interception behavior, the configurable information is feedback-adjusted to improve the accuracy of the configurable information and the interception efficiency.

The present invention discloses a storage and query method and device for monitoring data, and relates to the field of computer technology. A specific implementation of the storage method includes: encoding the monitoring data to be stored, and obtaining the encoded monitoring data to be stored; when the time dimension information of the monitoring data to be stored is at the second level, storing the encoded monitoring data to be stored in a cache and a database; when the time dimension information of the monitoring data to be stored is not at the second level, storing the encoded monitoring data to be stored in a database. This implementation method performs encoding processing on the monitoring data, which can significantly reduce the disk space for data storage, and stores the second-level monitoring data in the cache and the database respectively, which can meet the efficiency of different types of queries and ensure the query speed of recent data in the second-level monitoring data.

The application discloses a kind of intelligent text creation product integration printing delivery management method, including, obtain historical sales and social media multi-source data, generate sales forecast through adaptive weighted prediction model;The forecast is converted into atomization task with real-time order, and dynamic scheduling is carried out in digital twin environment using multi-objective optimization algorithm and objective entropy weight decision, to minimize line loss;After printing, actual image is mapped to latent space using GAN network for comparison quality inspection, and partial derivative is solved through proxy model to compensate bottom process parameters in reverse;Quality inspection is qualified, which automatically triggers coding and packaging, combines dynamic weight distribution optimal logistics company, and plans optimal collection path based on improved ant colony algorithm.The application breaks the information barrier of manufacturing and delivery chain, realizes the integrated collaborative management of high robustness prediction, flexible production scheduling, quality inspection self-healing and zero waiting delivery of text creation products.

The present application relates to the field of data processing technology, and specifically discloses an automobile parts management system based on big data, which mainly includes a defect detection module, a parts evaluation module and an inventory management module; the defect detection module is used to detect old parts to be recycled, and screen out non-recyclable old parts from the parts to be recycled, so as to obtain the remaining old parts as the parts to be evaluated; the parts evaluation module is used to obtain the repair information of the parts to be evaluated, and obtain the recycling status information of the parts to be evaluated based on the repair information. The present application detects and evaluates the degree of damage of the old parts to be recycled and ultimately guides the inventory management module to customize reasonable procurement and inventory strategies, thereby ensuring the stability of the supply chain, avoiding inventory shortages or surpluses, greatly reducing inventory backlogs and capital occupation, and improving procurement efficiency and cost control to achieve higher profits and efficiency, thereby improving corporate competitiveness.

The present application relates to a kind of multi-test bench railway vehicle test data integrated management system, belong to railway vehicle test data management technical field.The data acquisition module of the system is based on adaptive matching mechanism obtains multi-test bench data and completes local pre-processing;Data processing module constructs data correlation rule, generates dynamic cross-test bench data correlation atlas, realizes multi-source data fusion and value-driven storage scheduling by hierarchical fusion strategy;Core management module generates test task scheduling scheme and completes priority adjustment, constructs digital twin mapping and generates whole-process traceability link;Interactive collaboration module generates adaptive data display scheme, pushes abnormal early warning and completes field operation interaction.The present application solves the problems of existing multi-test bench data integration, scattered management and poor traceability, realizes the standardization and intelligent control of whole-process railway vehicle test, and improves the test efficiency and data management reliability.

This invention discloses a bit-loading-based HPLC signal processing method, belonging to the field of power line carrier communication technology. The bit-loading-based HPLC signal processing method includes: reading bit data from a channel interleaving module and sequentially writing it into a first bit buffer queue according to a preset number of bits to be read from the channel interleaving module; in bit-loading mode, determining the target number of bits to be filled for each subcarrier based on the modulation scheme corresponding to each subcarrier; different modulation schemes correspond to different target bit numbers; sequentially reading the target number of bits from the first bit buffer queue according to the writing order, and mapping the read-out bit data to the corresponding subcarrier for modulation and transmission. This invention achieves efficient rate matching for data processing in bit-loading mode and data transmission without subcarriers crossing physical blocks.

The invention provides a marketing strategy analysis optimization method based on big data and edge calculation. The method comprises the steps of constructing a data acquisition model to acquire data; generating a global supply chain scheduling scheme and a global precision marketing strategy according to the local supply chain adjustment and demand matching strategy and the output of the user demand prediction model; the global supply chain scheduling scheme and the global precision marketing strategy are adjusted to be cooperatively executed on each edge device; feedback data of each edge device is collected, analyzed and globally aggregated, and the global supply chain scheduling scheme and the global precision marketing strategy are adaptively adjusted according to a global feedback matrix; and collecting dual feedback data of the global supply chain scheduling scheme and the global precision marketing strategy after adaptive adjustment, and performing dynamic closed-loop optimization according to the dual feedback data. The response speed and the operation efficiency of the medical instrument supply chain are improved, and the precision marketing effect and the customer satisfaction are remarkably improved.