34results about How to "Reasonable scheduling" patented technology

The invention provides an agent dynamic scheduling method and device based on deadlock prediction, and the method comprises the steps: determining a loop-free target driving path formed between a task starting point and a task ending point indicated by a to-be-executed transportation task corresponding to each agent for each agent; according to the occupied resources, the to-be-applied occupied resources and the target driving path corresponding to each agent, whether deadlock conflict occurs to each agent is determined, the occupied resources describe path nodes and road sections occupied by the agent, and the to-be-applied occupied resources describe path nodes and road sections to be applied by the agent; and for the impending deadlock conflict, unlocking of the deadlock conflict is completed by using a preset unlocking strategy. According to the method, the impending deadlock phenomenon is accurately predicted and solved, so that map resources can be reasonably scheduled in an uncertain dynamic environment, and the stability of an intelligent logistics system is improved.

The invention relates to a virtual power plant bidding strategy optimization method based on a chaotic game optimization algorithm. The method comprises the following steps: generating an initial bidding strategy of a virtual power plant through chaotic mapping; each virtual power plant receives feedback information of the market, games by considering factors of cost, income, fluctuation of photovoltaic power generation, scheduling cost and attenuation of an energy storage battery and service life of equipment, and adjusts a bidding strategy of the virtual power plant; punishment income is applied to bidding behaviors violating market ethics or benefit distribution constraints; calculating the income of the power plant according to the adjusted strategy, and updating the bidding strategy of each virtual power plant; and repeating the game process until a convergence condition is reached, and outputting a virtual power plant bidding strategy. Compared with the prior art, the bidding strategy of the virtual power plant is more flexible and adaptive by using the randomness and unpredictability of the chaotic system, and meanwhile, the fairness, sustainability and healthy market development of the system are ensured by introducing ethical constraint and equipment life management.

The invention belongs to the technical field of power electronic systems, and discloses a distributed photovoltaic cluster modeling method and system based on an improved FCM algorithm, and the method comprises the steps: measuring the outlet voltage Vt of a photovoltaic unit, the voltage VPCC of a PCC point, and the phase angle difference theta between the two, deducing a calculation formula of an equivalent electrical distance from the outlet of the photovoltaic unit to the PCC point under a radiation type structure, and calculating the equivalent electrical distance between the outlet of the photovoltaic unit and the PCC point; calculating an equivalent electrical distance under a chain structure and a complex network topology structure, and calculating a line impedance equivalent coefficient; measuring an active power P, a reactive power Q and a port voltage Vt output by the photovoltaic unit, and proposing an index value representing a photovoltaic voltage support function; an equivalent electrical distance, a photovoltaic capacity and a voltage support function are comprehensively considered, and a comprehensive clustering index accurately representing the characteristics of the distributed photovoltaic power generation system is established; an optimal solution obtained through a particle swarm clustering algorithm is used as an initial clustering center, an optimal clustering result is calculated through an FCM algorithm, and an equivalent model is calculated through parameter equivalence;

The invention provides a big dipper navigation-based large sprinkling machine walking path positioning and planning system, which comprises a map construction module, a path planning module, a real-time adjustment module and a monitoring management module, and is characterized in that the map construction module is used for importing basic geographic information data of a sprinkling irrigation area; the path planning module is used for selecting a proper path planning algorithm and setting related parameters; the real-time adjustment module is used for determining the environment information according to which adjustment is carried out and an adjustment rule; the monitoring management module is used for setting communication parameters with a remote monitoring center. According to the big dipper navigation-based large-scale sprinkling machine walking path positioning and planning system provided by the invention, the irrigation precision is improved, the position and environment information of the sprinkling machine can be obtained in real time by utilizing a big dipper navigation system and a sensor technology, and accurate positioning and path planning are realized. The irrigation coverage range of the sprinkler in a farmland can be more uniform, the situation of irrigation leakage or repeated irrigation is avoided, and the irrigation precision and effect are improved.

The invention provides a resource scheduling method and device and electronic device.The method comprises the steps that when a first thread of an application is detected, in the ith period of the first thread, a key thread list corresponding to the ith period is obtained according to a thread wakeup relation, the key thread list comprises one or more key threads related to the first thread, and i is a natural number and is equal to 1, 2, 3, 4,...; and resource scheduling is carried out based on the key thread list corresponding to the ith period. According to the method, the device and the electronic equipment, the key thread related to the running task is determined from the threads related to the running task through the thread wakeup relation in the system, the recognition process of the key thread does not depend on subjective judgment of an application developer, the key thread related to the running task can be accurately recognized, and the recognition efficiency of the key thread is improved. And thus, resource supply can be preferentially guaranteed for the determined key thread, so that better scheduling of resources is achieved.

The invention provides a scheduled task visualization method and device based on a time series, and relates to the field of visualization, the method comprises the following steps: obtaining scheduled task data, the scheduled task data being used for representing task information executed within a preset time; determining coordinate axis information according to the planned task data and the node cache data cached in advance; wherein the node cache data comprises a horizontal axis positioning sorting key and a vertical axis grouping basis, and the horizontal axis positioning sorting key is used for representing the position and sequence of the data on a horizontal axis; drawing a coordinate axis according to the coordinate axis information, and rendering a corresponding plan task node in the coordinate axis to obtain an initial display result; and according to the relationship among the scheduled tasks in the scheduled task data, rendering connecting lines among the scheduled task nodes in the initial display result to obtain a visual display result. According to the method, association and dependence between tasks can be clearly displayed, so that a visualization result is more accurate and reliable.

The embodiment of the invention provides a communication method, a terminal, network equipment, a communication system, a computer program product and a storage medium. The method comprises the following steps: updating the priority of a first logic channel; wherein the first logical channel is used for transmitting the first type of data, and the priority indicates the priority of transmitting the data by using the logical channel. According to the technical scheme provided by the embodiment of the invention, data can be transmitted more reasonably.

The invention discloses a time-sensitive communication configuration method and a communication system. The method comprises: a base station receiving a first request message sent by a core network, the first request message comprising first configuration information related to a time-sensitive communication service and / or second configuration information related to a quality of service (QoS) flow; the first configuration information at least comprises time-sensitive communication service characteristic information, the time-sensitive communication service characteristic information comprises at least one of the following information: a service period, burst arrival time, service jitter and N6 jitter, and the time-sensitive communication service characteristic information only exists under the condition that a guaranteed bit rate QoS flow exists and / or no guaranteed bit rate QoS flow exists; the second configuration information comprises at least one of a PDU set error rate, a PDU set delay overhead, a PDU set comprehensive processing indication and a PDU set importance indication. The technical problem that the time-sensitive communication requirement cannot be met by the base station using the existing protocol in the related technology is solved.

The invention discloses an aviation medicine emergency rescue scheduling method and system, and relates to the technical field of data processing. The aviation medicine emergency rescue scheduling method comprises the following steps: acquiring base station information of each aviation rescue base station and disaster-affected point information of each task disaster-affected point; by means of the base station information and the disaster point information, the timeliness degree and the first resource integrating degree between a target disaster point and the aviation rescue base stations are determined, and the target disaster point is any one of the task disaster points; the regional linkage of the target disaster-affected point is determined by using the information of each disaster-affected point, and the regional linkage is used for representing the probability of linkage rescue with other task disaster-affected points; determining a rescue matching degree between the target disaster-affected point and each aviation rescue base station by using each aging degree, each first resource integrating degree and regional linkage of the target disaster-affected point; and sorting the rescue matching degrees corresponding to the target disaster points according to a size sequence to obtain an aviation medical emergency rescue scheduling scheme.

The invention discloses a mine vehicle scheduling method, device and equipment and a storage medium. Comprising the steps of performing production configuration for a current working condition, and obtaining working condition related data based on configuration information; determining the state of each excavator and the state of each mine truck according to the working condition related data; and determining the working condition of the current working condition according to the state of each excavator and the state of each mine truck, and dispatching the mine truck based on the working condition. By determining the states of the excavator and the mine truck, reasonable allocation of vehicle resources is facilitated, idling or overuse of vehicles is avoided, optimal utilization of resources is achieved, production arrangement can be more suitable for the actual situation, production delay and resource waste caused by unreasonable configuration are reduced, and therefore the overall production efficiency of a mine is improved. And clear and accurate working condition and vehicle state information can be provided for mine managers by determining the working condition, so that the mine managers can make reasonable vehicle scheduling and management decisions, and the operation management level of the mine is further improved.

The invention discloses a semiconductor workshop material allocation method and device based on an EMS system, and a medium. The method comprises the steps of obtaining actual operation parameters and historical operation data of a production workshop work station; according to the actual operation parameters and the historical operation data, a work station association value set and a work-in-process association value set between different work stations are obtained through calculation; based on the work-in-process association value set and the pre-acquired idle time of the electric vehicle, determining the allocation priority of the electric vehicle; calculating according to pre-acquired position information of the work station equipment and a preset path optimization model to obtain a path number set; calculating the material dispatching time according to the path number set and the pre-acquired running speed of the electric transport vehicle, and taking the material dispatching time as a material dispatching priority; and distributing the to-be-allocated material with the highest material allocation priority to the electric transport vehicle with the highest electric transport vehicle allocation priority. The method can reasonably dispatch materials and improve the production efficiency.

The invention discloses an intelligent monitoring safety early warning method based on multi-view analysis in a video, and relates to the field of safety monitoring, and the method comprises the steps: judging whether an actual machining scheme used by a to-be-machined part is a machining scheme corresponding to the machined part or not; monitoring the replacement process of at least one currently used instrument of the machine tool; monitoring the scheduling of at least one transport vehicle; according to the machining number of the to-be-machined parts, whether the machining speed of the machine tool is matched with the transport speed of the transport vehicle or not is judged; in the machining process, machining instruments of the machine tool are monitored, and the machining instruments are adjusted according to the monitoring result; the transport vehicle is monitored, and early warning is given out when the transport vehicle is blocked. According to the method, early warning is carried out on scheduling in the operation process of various machines, early warning is carried out on blockage or abrasion of machining instruments which can be generated in the machining process, and then the unknown safety problem caused by using an unmatched machining mode can be avoided.

The invention discloses an operation tool management method and device, a readable medium and electronic equipment, a communication module is configured on an operation tool, the communication module is in communication connection with a management system, and the method comprises the following steps: receiving a calling signal through the communication module on the operation tool, determining the state information of the operation tool as a working state based on the calling signal; when the operation tool is in a working state, receiving operation information and positioning information through a communication module of the operation tool; determining current task information of the operation tool according to the operation information and the positioning information; and receiving a return signal through a communication module on the operation tool, and determining the state information of the operation tool as an idle state based on the return signal. The operation tool is transformed through the Internet of Things, the positioning information of the operation tool is determined through multi-source fusion positioning, and therefore real-time and intelligent management is achieved.

The invention provides a task scheduling method and device, electronic equipment and a storage medium, belongs to the technical field of computers, and is suitable for the field of financial science and technology. The method comprises the following steps: in response to an obtained to-be-executed task, adding the to-be-executed task into a task queue as an alternative task; obtaining current resource occupation data in the database and historical resource occupation data corresponding to each alternative task in the task queue; according to a preset resource occupancy threshold value, the current resource occupancy data and historical resource occupancy data of each alternative task, determining at least one target execution task in the task queue, so that the database resource occupancy rate when the database executes the target execution task is smaller than the resource occupancy threshold value; and executing the target execution task. According to the method, the tasks can be reasonably scheduled, so that the continuity and the stability of financial services are improved.

This application discloses a multi-agent collaboration method, apparatus, electronic device, and storage medium. The method includes, in response to a user-input query, determining the scope of agents to be invoked in a model decision-making stage. This model decision-making stage invokes at least process memory and summary memory. The process memory records the temporal trajectory, type, and triggering conditions of each agent's invocation, while the summary memory simplifies the memory information for each round of interaction. Based on the scope of agents to be invoked, the generated content of each agent is decomposed in a model generation stage, which invokes at least the summary memory. Finally, based on the generated content of each agent, a final output result is obtained. This application achieves a stronger understanding and decomposition capability for user-fuzzy questions, understanding user questions at the memory level, thereby invoking agents not mentioned in the user question and completing multi-agent collaboration.

The invention relates to a power system dispatching optimization method and system in an abnormal state of transformers, and the method comprises the following steps: collecting high-dimensional data of each transformer in real time, and constructing a high-dimensional data matrix; performing characteristic spectrum analysis on the high-dimensional data matrix by adopting a random matrix theory, and identifying an abnormal time period; constructing an augmented matrix in the abnormal time period to perform characteristic spectrum analysis on the transformer, and positioning an abnormal transformer; and based on the abnormal time period and the positioned abnormal transformer, a scheduling optimization model is constructed and solved by taking operation cost and carbon emission minimization as targets, and a scheduling optimization process in an abnormal state is completed. Compared with the prior art, the method has the advantages of improving the abnormal precision of the transformer, realizing stable operation of a power system and the like.

The present invention discloses an intelligent monitoring safety early warning method based on multi-view analysis in a video, which relates to the field of safety monitoring, including: judging whether the actual processing scheme used for a part to be processed is the processing scheme corresponding to the processed part; monitoring the process of replacing the equipment currently used by at least one machine tool; monitoring the scheduling of at least one transport vehicle; judging whether the processing speed of the machine tool matches the transportation speed of the transport vehicle according to the processing quantity of the part to be processed; monitoring the processing equipment of the machine tool during the processing, and adjusting the processing equipment according to the monitoring results; monitoring the transport vehicle, and issuing an early warning when a blockage occurs. By issuing an early warning for the scheduling during the operation of multiple machines, an early warning for the blockage or wear of the processing equipment that may occur during the processing, unknown safety issues caused by the use of mismatched processing methods can be avoided.

The invention discloses an intelligent animal husbandry monitoring and tracing system based on RFID chips, and relates to the field of animal husbandry, and the system comprises a first passive RFID chip, a second passive RFID chip, a reader-writer, a microprocessor, and a network server. The first RFID chip monitors physiological data of livestock, the second RFID chip monitors feeding environment data, communication connection is established between the reader-writer and the microprocessor, and an electromagnetic wave signal carrying a monitoring instruction is sent according to a related instruction; the first RFID chip and the second RFID chip monitor livestock physiological and environmental data according to the electromagnetic wave signals and transmit the data to the reader-writer; and the microprocessor collects the uploaded data content, analyzes and calculates the data content to obtain a monitoring result, uploads the data content and the detection result to the server, generates livestock and environment monitoring records, and ensures accurate source tracing of the livestock through complete transmission of the data. The system assists in scheduling breeding personnel, reduces the breeding cost, reduces the morbidity rate and mortality rate of livestock, and improves the breeding rate and milk yield of the livestock.

The invention provides an operation method for improving the cooperative work efficiency of a wharf outer towing device and a rail-mounted gantry crane, which comprises the following steps: the outer towing device enters a gate and obtains a positioning and information communication device, the outer towing device obtains a route and an indication task of a trailer of a TOS system to a specified interaction area through the communication device, and then the outer towing device enters the interaction area; when external dragging meets operation conditions in the interaction area, the BMS informs the TOS system, and the TOS system prompts that the trailer is allowed to enter the interaction area through the communication device; after the trailer enters the interaction area, the TOS system prompts the trailer to be allowed to enter a target position of the interaction area through the communication device; the TOS system transmits the real-time accurate position of the trailer to the BMS system and informs the BMS system of information that the trailer has working conditions; and the BMS system controls the specified rail-mounted gantry crane to cooperate with the trailer under the rail-mounted gantry crane to perform collaborative operation. The invention further provides an operation system for improving the cooperative work efficiency of the wharf outer towing device and the rail-mounted gantry crane. According to the invention, the working efficiency and the collaborative operation efficiency of the outward towing and the rail-mounted crane in the automatic wharf are improved.

The embodiments of the present application provide an I / O offloading method, device, system and storage medium in a cloud environment. In the embodiments of the present application, a queue component is added to the CPU of the host, and it is innovatively proposed to use the queue component in the I / O processing process. Based on this, a virtual I / O device and a device queue corresponding to the virtual I / O device can be provided for the instances on the host through the queue component; within the CPU, the device queue is used to schedule the I / O requests that occur between the instance and the virtual I / O device; and the original I / O offloading card only needs to be responsible for listening to the I / O requests in the device queue and transferring the data related to the I / O requests. In this way, the device queue in the I / O processing process can be moved up to the CPU, so that in the I / O scheduling process, it can联动 with each component in the CPU, obtain the real-time loads of each core in the CPU, and thus more reasonably implement I / O scheduling instead of blindly scheduling, which can effectively improve the I / O processing efficiency. It should be noted that the "联动" in the original text seems to be a misspelling. It might be "联动" which is not a standard English word. I've translated it as "联动" for now. If it has a specific correct English expression, please let me know and I can adjust it.

The invention relates to the technical field of electric power system operation and control, in particular to a new energy power generation priority scheduling method in an electric power spot market, and the method comprises the steps: determining a cluster scale corresponding to a collection node according to a stable threshold value when the stable threshold value is in a preset stable threshold value range; determining a target power grid state according to the load fluctuation value and the power generation fatigue value, determining a cluster division coefficient of each sink node according to the target power grid state, and determining a preset selection mode according to the cluster division coefficient; determining a power generation state according to the margin evaluation value and the electric quantity leakage value, and determining a power prediction mode according to the power generation state; under the preset dispatching condition, power dispatching analysis is conducted on the power generation area according to the expected power value, cluster division can be conducted on the basis that the deviation between the actual power generation amount and the expected strategy is reduced, and the new energy power dispatching difficulty is reduced.

The invention discloses a Beidou satellite positioning and short message rescue system and method, and the method comprises the following steps: S1, determining the position of a user through employing an initial precision mode, and generating a compressed short message; s2, sending the compressed short message to a rescue center; s3, monitoring the physical state and the surrounding environment condition of the user in real time; s4, automatically generating a distress signal short message by using a multi-layer event detection and response algorithm based on an adaptive rule engine; s5, sending the distress signal short message to a rescue center; s6, if multiple users are in distress at the same time, generating an optimal rescue strategy by using a cooperative rescue algorithm based on position and state dynamic weight distribution; s7, a cooperative rescue signal is generated, and the optimal rescue strategy is sent to a rescue center; and S8, dynamically adjusting the positioning precision according to the rescue progress condition, and switching to a final precision mode. According to the invention, efficient and accurate emergency rescue is realized by using Beidou navigation, short message communication and an adaptive algorithm.

The embodiment of the invention discloses a coal mine underground vehicle statistical system. In a specific embodiment, the system comprises a network transmission module, a video analysis device, a monitoring terminal and a camera, the camera is configured with position information of a preset node of an underground roadway where the camera is located, and is used for shooting a to-be-recognized image; the video analysis device is used for acquiring the to-be-recognized images uploaded by the cameras, recognizing the vehicles in the to-be-recognized images, recognizing the advancing tracks, license plate numbers and cargo loading states of the vehicles, obtaining recognition results of the vehicles in the to-be-recognized images and uploading the recognition results to the monitoring terminal; the monitoring terminal is used for counting underground vehicles. According to the implementation mode, the cameras are arranged at important nodes such as the entrance and exit areas of the underground roadway, so that the information of the vehicles entering and exiting each area, the number of the current vehicles in each area and the specific vehicle information can be mastered in real time, the underground output capacity is mastered, scheduling is reasonable, the vehicle safety is improved, and the vehicles can be accurately recognized and counted.

The invention discloses a vehicle management method, system and device and a medium, and relates to the technical field of vehicle management methods. The vehicle management method comprises the following steps: acquiring a vehicle use request of a user terminal; if the target idle vehicle exists, information of at least one target idle vehicle in the first preset area is sent to the user terminal; after a vehicle using instruction of the user terminal is received within a preset time period, the target idle vehicle is controlled to move to the vehicle using starting point position; if the target idle vehicle does not exist or the vehicle using instruction of the user is not received in the preset time period, whether a working vehicle exists in a second preset area or not is inquired; if the working vehicle exists, acquiring a working task which is being executed by at least one working vehicle; and according to the work task, obtaining a target work vehicle of which the target end point of the work task is located in the first preset area, and sending vehicle information of the target work vehicle to the user terminal.

The present invention discloses a resource scheduling method, a resource scheduling system, a device and a computer-readable storage medium, wherein the resource scheduling method includes obtaining a scheduling object from a scheduling queue; when the scheduling object is a custom resource, the custom resource is disassembled according to the current resource state to obtain a scheduling unit list, and the scheduling unit list includes a first scheduling unit for constituting the custom resource; and the first scheduling units in the scheduling unit list are scheduled in sequence. It is suitable for a Kubernetes scheduling platform. When scheduling, if the scheduling object is a CRD, the CRD is disassembled according to the current resource state to obtain a scheduling unit list, and the scheduling unit list includes a Pod collection, so that the Kubernetes scheduling platform can atomically schedule all Pods according to the scheduling unit list, and all Pods are scheduled in sequence according to the queue to avoid inserting other Pods, so as to ensure that the CRD can be reasonably scheduled, the scheduling efficiency is high, and the Kubernetes scheduling platform can be compatible with various business scenarios.

The invention provides a hospital flow monitoring system, and relates to the technical field of medical systems, and the hospital flow monitoring system comprises the following operation steps: S1, a patient enters a hospital, inputs identity information, and clicks a start button through a self-service terminal; s2, the patient is inquired to fill in a pre-inquiry questionnaire in a self-service mode through the pre-inquiry program; s3, after the pre-inquiry questionnaire table is filled in, the pre-inquiry questionnaire table is subjected to department distribution after system identification; s4, the patient is shunted to a fever outpatient service, a doctor carries out preliminary diagnosis, and pre-inquiry is finished. According to the method, intelligent sign-in enqueue and intelligent shunting of the patients are realized by distinguishing the treatment types of the patients, the medical care working efficiency is improved and reasonable shift arrangement can be realized through flow monitoring analysis and information interconnection and intercommunication, the diagnosis and treatment pressure of medical personnel is reduced, and the diagnosis and treatment service of'one doctor, one patient and one doctor 'is implemented by grouping the admission of the patients, so that the diagnosis and treatment efficiency is improved. And the fever outpatient service order is optimized, the service quality is improved, resource allocation is balanced, and the medical experience of patients is greatly improved.

The present invention belongs to the technical field of hydrogen production by electrolysis, and specifically relates to a test system for accessing a hydrogen production system by electrolysis to a power grid, including an operation risk assessment module, an additional detection and analysis module, and a comprehensive analysis and early warning module. The present invention conducts a test on the access of the hydrogen production system by electrolysis to the power grid, analyzes whether a fault occurs during the operation, and handles the fault in a timely manner. By comprehensively evaluating a number of key operating parameters of the hydrogen production system by electrolysis after the access to the power grid, a comprehensive fault warning and risk assessment solution is provided. The design of the system not only improves the accuracy and response speed of fault detection, but also avoids the problem of frequent false alarms by reducing the reliance on single parameter monitoring, thereby optimizing the integration and operation of the hydrogen production system by electrolysis in the power grid. After the test, the system can be optimized according to the results of the test, and can be continuously used after the hydrogen production system by electrolysis is connected to the power grid.

The present invention discloses a beam yard planning, design and production scheduling system, comprising a data end, a server end and a client end. The data end collects data through a data interface, and transmits the collected data to the server end, and the server end and the client end perform data interaction. The present invention constructs a three-dimensional visualization model with BIM+GIS technology, integrates production data of equipment such as intelligent tensioning, intelligent grouting, and intelligent spraying through IOT technology, stores and integrates production data information in the whole life cycle management process of the beam yard through a database, and realizes smooth dissemination and exchange of business data information of the whole life cycle of beam manufacturing and storage racks through server calling and processing data, so as to make information traceable, easy to share and easy to extract, improve the automation and intelligence level of the beam yard, reduce labor input, and create an efficient and intelligent beam yard.

The present invention discloses an air conditioning control method based on a virtual power plant. By calculating the cumulative value of the suitability of the currently verified multi-type power distribution mode for each air conditioner in the target control load area pointed to by the data obtained in step L1, and taking the mode with the maximum cumulative value of suitability as the current proposed mode for the target control load area and executing it, virtualized optimization control of multi-type power inputs in the load area is achieved. The control process takes into account the actual situation of the currently available resources on the input side, as well as the influence of different multi-type power distribution available modes on the input side on the flexibility of control of air conditioners with different working conditions and different performances on the load side, so that the scheduling of multi-type power resources on the input side is more reasonable, and the flexible control on the load side is more accurate and imperceptible.

This invention discloses a method, apparatus, computer device, and readable storage medium for sending messages in the field of data transmission. The method includes: acquiring a target message and determining the current network transmission rate; if the current network quality is high, detecting whether an important message is being received or sent at the current moment; if an important message is being received or sent at the current moment, detecting whether the target message meets a preset discard condition; if the target message does not meet the preset discard condition, storing the target message in a preset storage space, and after a preset time interval, returning to the step of determining the current network transmission rate until the target message is sent. Based on this, this invention ensures that the sending of any message occurs under conditions of good network quality and without affecting the sending or transmission of important messages, enabling the rational scheduling of resources related to message sending.