94results about How to "Maximize efficiency" patented technology

The invention relates to a micro-service node performance prediction and resource adaptive adjustment method based on a convolutional neural network, and belongs to the field of resource allocation under cloud native. Firstly, a benchmark test tool is used for simulating an actual application program, resources are pre-allocated according to task requirements, secondly, a performance monitoring tool is used for collecting micro-service node resource performance data, then, in combination with the obtained micro-service node resource performance data, a CNNRPM based on a convolutional neural network is constructed, the response time of the micro-service node is predicted, and the response time of the micro-service node is predicted. Then, according to the micro-service node response time, a resource allocation model based on deep reinforcement learning is constructed, an adaptive resource adjustment strategy is realized, and finally, a resource management tool is utilized to implement adjustment of various resources according to the adaptive resource adjustment strategy. According to the invention, the response time of the application is used as the Qos index, so that the user application can maximize the resource use efficiency while meeting the Qos index.

The invention relates to the technical field of intelligent power grids, in particular to a multivariate computing power integrated scheduling method, system and equipment for an intelligent power grid, and the method comprises the steps: carrying out the priority division of a power data set according to a preset business priority label, and obtaining the power feature data of different priorities; performing redundancy elimination processing on the power feature data with different priorities to obtain redundancy-eliminated power feature data; performing secondary classification on the redundancy-removed power feature data to obtain demand feature data of different demand types; performing learning optimization on the demand feature data of different demand types to obtain an optimal power distribution strategy; and based on the optimal power distribution strategy, performing dynamic heterogeneous cooperative scheduling on the multivariate computing power resources by using a computing power chip scheduling algorithm. According to the method, multiple computing power resources are integrated, dynamic scheduling of the computing power resources is carried out on the chip according to the optimal power distribution strategy, the utilization efficiency of the computing power resources is remarkably improved, and therefore the maximization of the use efficiency of the chip is achieved.

The invention discloses an Internet of Things HTTP fuzzing method based on a large language model, and relates to the technical field of Internet of Things HTTP fuzzing. The method comprises the following steps: data acquisition: adopting a data acquisition strategy to obtain data for the HTTP fuzzy test of the Internet of Things; data preprocessing: preprocessing the collected data, and providing high-quality input data for subsequent fuzzy testing; hTTP structure sensing guided by LLM: using a prompt adjustment method to label fuzzy variables in request data by using the LLM, understanding a protocol data structure, and guiding a variation process; lLM-guided seed template expansion: expanding a seed bank by enriching data packets and expanding field values; lLM-guided seed variation and seed scheduling: optimizing test results by intelligently selecting and managing input seeds. According to the method, the efficiency and accuracy of fuzzy testing can be improved, and the vulnerability detection capability is enhanced.

The invention discloses a distributed simulation data dynamic management and control method, a storage medium and a system. The system comprises a data management and control master control service, a message subscription / release center, a data management and control module, a data encoding and decoding module and a playback generation module. According to the method, data interaction in the distributed simulation system is realized based on a subscription / release mechanism, and the problems that a simulation online entity cannot be dynamically adjusted and the same simulation data cannot be independently played back at the same time due to dependence on guide and interaction interface solidification in the playback process of the existing distributed simulation system are solved. The method does not depend on a simulation test guide control system for playback, and combines a subscription publishing mechanism of the message to simulate publishing and playback of the control message of the guide control system through the master control service. The clients originally participating in transmission in the simulation playback process can perform whole or partial online playback, and can perform mutually independent online playback on the same joint simulation test data at the same time; and in the playback process, the nodes in any state can be switched into online simulation again in the playback process.

The utility model provides an intelligent refrigeration house, which belongs to the technical field of refrigeration houses and comprises a refrigeration house main body, a compression refrigerator is arranged at the top of the refrigeration house main body, two air outlets of a cold air diversion mechanism are fixedly connected with cold air diversion pipes, cold air outlets are uniformly formed in the side walls of the cold air diversion pipes, and the top of a partition plate is fixed at the bottom of a diversion box in an attached manner. The bottom of the partition plate is perpendicularly fixed to the bottom of the inner wall of the refrigeration house body, so that the refrigeration house body is divided into two storage spaces by the partition plate, and the cold air flow guide pipes located on the two sides can blow cold air into the spaces on the two sides of the partition plate correspondingly; cold air is distributed into the cold air flow guide pipes of the corresponding cold storage spaces through the cold air flow distribution mechanisms, then the cold air outlets in the cold air flow guide pipes are dispersedly blown to goods at all positions, the storage environment of the goods is guaranteed, and therefore the goods are protected.

The invention provides a mounting bracket of a photovoltaic power generation panel and a photovoltaic power generation system, which are used for solving the problem that the mounting bracket of the photovoltaic power generation panel in the prior art cannot ensure that the photovoltaic power generation panel always faces the sun. Comprising a base, a rotation driving module and an angle adjusting module. The rotation driving module is arranged on the base, and the angle adjusting module is arranged on the rotation driving module; the photovoltaic power generation panel is mounted on the angle adjusting module; the rotation driving module is used for driving the angle adjusting module and the photovoltaic power generation panel to rotate relative to the base; the angle adjusting module is used for adjusting the inclination angle of the photovoltaic power generation panel relative to the base; the inclination angle of the photovoltaic power generation panel relative to the base is adjusted through the angle adjusting mechanism so as to ensure that the photovoltaic power generation panel can directly face the sun all the time in the daytime, on the other hand, the photovoltaic power generation panel is driven to rotate relative to the base through the rotary driving module so that the photovoltaic power generation panel can adapt to direct solar radiation points in different seasons, and the solar energy utilization rate is improved. And maximization of the efficiency of the photovoltaic power generation system is ensured.

The invention provides a parallel computing control optimization method for multiple HASH algorithms in an ASIC chip, and relates to the technical field of data processing, and the method comprises the steps: selecting a matrix according to a mode, and scheduling different SHA-256 processing units and assembly line stages, so as to obtain the adjusted SHA-256 processing units; a control signal is added to each adjusted SHA-256 processing unit, and the control signals are used for controlling starting and stopping of operation of the SHA-256 processing units; optimizing a task allocation scheme between the adjusted SHA-256 processing units, and representing a specific task allocation scheme by using each particle; defining a fitness function for evaluating the performance of each task allocation scheme; and according to the fitness function, calculating the fitness of each particle, updating the speed and position of the particle, and carrying out iterative operation until a preset number of iterations is reached so as to obtain a final task allocation scheme. According to the invention, the data processing efficiency and performance can be improved.

The invention provides a rotating device of a photovoltaic power generation panel and a photovoltaic power generation system. The rotating device is used for solving the problem that the photovoltaic power generation panel cannot directly face the sun all the time in the prior art. Comprising a mounting base, a first rotating module, a second rotating module and a third rotating module; on one hand, the inclination angle of the photovoltaic power generation panel relative to the mounting base in the length direction is adjusted through the first angle adjusting mechanism, so that the photovoltaic power generation panel can always face the sun in the daytime; and on the other hand, the first rotating module drives the photovoltaic power generation panel to rotate relative to the mounting base, and the third rotating module adjusts the inclination angle of the width direction of the photovoltaic power generation panel relative to the mounting base, so that the photovoltaic power generation panel adapts to direct solar radiation points in different seasons, and it is ensured that the efficiency of the photovoltaic power generation system can be maximized.

The present invention discloses an automatic shaking and twisting machine, which includes an electrical box, a base, a bracket, a wire moving assembly, a yarn frame assembly, a transverse moving assembly, a starting assembly, a stranding, twisting and knotting assembly, a yarn dropping assembly and a yarn storage assembly, wherein the wire moving assembly is used to realize the yarn moving, the yarn frame assembly is used to shake and twist the yarn, the transverse moving assembly is used to drive the starting assembly and the stranding, twisting and knotting assembly to move forward and backward, the starting assembly is connected below the transverse moving assembly, and is used to cut the yarn and clamp the yarn tail, the stranding, twisting and knotting assembly is connected to the transverse moving assembly, and is used to separate the shaken and twisted yarn and automatically twist it, the yarn dropping assembly is movably arranged on both sides of the base, and is used to remove the already twisted yarn on the yarn frame and transport it to the yarn storage assembly, and the yarn storage assembly is arranged at one end of the base, and is used to hang the yarn. The present invention can truly realize the automation and intelligence of the whole process, so that the efficiency of the whole device is maximized.

The invention provides a multi-environment automobile battery management method and system, and relates to the technical field of battery management, and the method comprises the steps: obtaining environment information and automobile real-time operation parameters, and carrying out the multi-scale decomposition processing, so as to extract the local influence data of all environment information; then, based on a mutual information maximization criterion, calculating a nonlinear dependency relationship between each piece of environmental information and battery consumption, and determining key environmental influence factors from the nonlinear dependency relationship; and processing the influence factors and the automobile operation parameters by using a sparse Bayesian regression model, constructing a dynamic power consumption prediction model, and performing real-time dynamic power consumption optimization. And continuously updating a power consumption distribution strategy through a depth deterministic strategy gradient algorithm to realize self-adaptive battery management. According to the invention, the operation efficiency of the battery is improved, the adaptive capacity in a changeable environment is enhanced, the power consumption distribution strategy of the automobile can be optimized in real time, and the optimal performance of the automobile under various conditions is ensured.

The invention relates to an artificial intelligence-based information technology personalized learning system, which can customize a personalized learning path for each student by comprehensively collecting and analyzing learning behaviors, history and interest data of the student and utilizing an advanced machine learning algorithm. The core functions of the system comprise intelligent learning resource recommendation, dynamic learning content difficulty adjustment and providing of an ai teacher assistant and an intelligent question answering system so as to realize real-time tutoring and feedback. In addition, the system also provides an autonomous learning tool to support students to make learning plans, track the progress and perform self-evaluation. The invention aims to improve the learning efficiency and motivation of students in information technology subjects, promote the cultivation of deep learning and autonomous learning ability, and optimize the distribution and use of educational resources. The system not only adapts to individual requirements of students, but also can be expanded and applied to other subjects.

The invention discloses an unmanned machine room inspection system based on machine vision, and relates to the technical field of unmanned machine room inspection, which comprises the following steps of: establishing a server panel indicator light feature library according to a fault library comprising light colors and change conditions of machine room server panel indicator lights; the server panel indicator lamp feature library is used for arranging all server panel graphic icons, indicator lamp colors and change condition information of a machine room, the fault solution is used for establishing a server panel problem knowledge base, a server fault problem solution knowledge base and a server panel knowledge introduction library, and the system provides a batch knowledge import function. And the image recognition module provides a data basis for fault problem retrieval and solution feedback, the image recognition module adopts a Hough circle detection algorithm to detect the circular contour of the server indicating lamp, the green light color is fault-free, and the red light color is abnormal.

The invention provides a bidirectional plunger pump and a control method, and belongs to the technical field of booster pumps, the bidirectional plunger pump comprises at least one plunger pump unit, and each plunger pump unit comprises a cylinder body, a plunger and a transmission device used for driving the plunger to move; the plunger comprises a plunger head, a plunger body and a connector; the cylinder body comprises a first compression cavity matched with the plunger head in size and a second compression cavity matched with the plunger body in size. According to the bidirectional plunger pump and the control method, the plunger acts bidirectionally, and compared with a conventional booster pump, the pump speed can be reduced under the condition of the same output pressure and flow, so that the service life of the plunger pump is prolonged; in addition, the plunger pump can 100% utilize the water pressure of the incoming water, the plunger is driven to be pressurized on the basis of the water pressure of the incoming water to reach the target water pressure, and therefore the energy-saving effect is achieved. According to the control method, the target conveying capacity can be preset, and efficiency maximization is achieved by adjusting the working parameters of the frequency converter on the basis that the target conveying capacity can be achieved.

The invention discloses a bait host identification method and device under a link flooding attack, and the method comprises the steps: selecting a key switch after obtaining global routing information in an SDN controller, and dividing a network into a plurality of monitoring regions according to the distribution of the key switch; an improved RF model for traffic classification is trained offline for each monitoring area, all the trained RF models are converted into forwarding rules conforming to P4 switch specifications in an SDN controller, and the forwarding rules are installed on a key switch; a forwarding rule is operated in the switch to perform flow classification at a line speed, and a classification result is reported to the SDN controller; and identifying the address of the bait host according to the classification result. According to the invention, the communication overhead between the controller and the data plane and in the data plane is obviously reduced, the identification accuracy and time efficiency of the bait host under the LFA are improved, an efficient and resource-saving solution is provided for the security defense of the LFA, and the efficiency of the SDN for coping with the LFA is improved.

The invention discloses a printer control system which comprises an image processing module used for detecting the quality of printing output in real time and monitoring abnormity in the printing process; the behavior analysis module is used for predicting a printing demand of a user by utilizing a machine learning model based on printing historical data of the user, and pre-loading a file or setting related printing parameters in advance; the error correction and feedback module is used for immediately stopping the printing task when the image processing module detects abnormity; the user interaction module allows a user to check the printing progress in real time through an interface and prompt errors; a printing control method of a printer comprises the following steps that S1, a system reads an image to be printed, color analysis is conducted on each pixel of the image, the RGB color value Ii, c (t) of each pixel is obtained, and the ideal color value # imgabs0 # is obtained through a reference image to calculate the color complexity C (t); according to the method, the printing accuracy and reliability are improved, unnecessary rework and consumable waste are reduced, the printing speed is increased, and the efficiency is improved.

The invention discloses an anti-interference communication method and system under a denial condition, and the method comprises the steps: setting the transmitting power intensity of each communication system, and selecting a suitable communication environment according to an actual application scene; dynamic adjustment is carried out according to whether the sending end and the receiving end move relatively or not; in all the communication systems, whether interference noise exists or not is judged based on the detection result of the interference noise; calculating a switching decision index of a system in the set # imgabs0 # according to the data; carrying out normalization processing on the switching decision indexes, and then carrying out weighted summation to obtain a parameter weighted average value of each communication system; carrying out secondary selection according to the weighted average value, finding out a system with the highest weighted average value, and carrying out system switching; and displaying the whole system switching process in a dynamic mapping mode. According to the invention, the multi-system communication system is switched to the communication system with the optimal performance to work in real time, so that the transmission efficiency and the safety performance of the multi-system communication system are improved.

The present invention relates to the field of battery balancing protection technology, and in particular to a balancing protection method and system for multiple series-connected battery cells. The method comprises the following steps: collecting multi-node battery operation status data of multiple series-connected battery cells and performing series gradient influence analysis to obtain internal resistance change series gradient influence data; calculating performance attenuation gradient based on internal resistance change series gradient influence data to obtain thermal damage performance attenuation gradient data; formulating a series-connected battery cell balancing intervention strategy based on the thermal damage performance attenuation gradient data to obtain a battery cell balancing intervention strategy; performing automated firmware design based on the battery cell balancing intervention strategy to obtain a balancing intervention strategy firmware; and embedding the balancing intervention strategy firmware into a battery cell management system to perform battery cell balancing protection. The present invention makes the battery balancing protection technology more perfect by optimizing the battery balancing protection technology.

The present application relates to a kind of device for accurately adjusting the trajectory of atomic transverse motion, including bellows, first threaded rod, second threaded rod, third threaded rod, first piezoelectric ceramic, second piezoelectric ceramic, third piezoelectric ceramic, piezoelectric ceramic drive, atom source cavity, interference cavity, detection cavity, atom source, upper raman light, first 1 / 4 wave plate, first 0 ° mirror, lower raman light, front raman light, second 1 / 4 wave plate, second 0 ° mirror, rear raman light, upper detection light, third 0 ° mirror, lower detection light, fluorescence collection device, photodetector, ion pump, vacuum pipeline, adapter flange, signal acquisition device and computer.The present application can realize the precise adjustment of the trajectory of atomic motion without affecting the parameters of atom itself.

The present application relates to the technical field of computer resource scheduling, and discloses a data collaborative initialization method and its device, equipment, and medium, including: intercepting multiple concurrent data acquisition requests for acquiring multiple target data, wherein at least part of the target data depends on the determination of another part of the target data; responding to each data acquisition request and running each corresponding request thread; controlling one of the data acquisition requests to obtain a control lock, and the data acquisition request that obtains the control lock starts a data initialization transaction to complete the background calculation of the multiple target data, and releases the control lock after the data initialization transaction is successfully executed; during the execution of the data initialization transaction, control other request threads that have not obtained the control lock to sleep according to the dynamically updated sleep duration, and after the sleep ends, try to obtain the corresponding target data to respond to each corresponding data acquisition request. The present application realizes precise control of the waiting time of threads in concurrent situations.

The invention relates to the technical field of flow management, and discloses an SIM card shared flow pool flow monitoring regulation and control system, which obtains the total flow pool use amount through a flow monitoring module, updates and stores the total flow pool use amount in a shared flow pool use amount database, and compares the total flow pool use amount with a set use standard to determine the flow pool use amount. The method comprises the following steps: analyzing the traffic pool state according to an analysis result, and evaluating the traffic pool state according to an analysis result, and finally, enabling the number of standby SIM cards through a strategy regulation and control module according to the evaluation result to ensure that the traffic remaining amount in the traffic pool is enough to deal with an emergency, and meanwhile, regulating the traffic use standard according to the date per month. According to the method, resource waste caused by the fact that residual flow of the flow pool may not be fully utilized before expiration is avoided, and real-time state management of the SIM card is affected and flow use standards are adjusted according to maintenance time of an operator due to the fact that any operation cannot be performed on the SIM card within the time of upgrading the maintenance window by the operator system is also considered.

The present invention discloses a user-side distributed energy system interactive operation evaluation method, which relates to the technical field of operation evaluation methods, including the establishment of a user energy consumption behavior analysis model, the establishment of a heat loss model, the establishment of an energy compensation comparison model, and the comparison and analysis of the models. This method obtains a behavior analysis model based on the user's energy consumption, and at the same time establishes a compensation comparison curve model. By analyzing and processing the compensation comparison curve model, it can be obtained that the gas water heater heats the water to a certain temperature, and the electric heater works together to boil the water to the required temperature with the least cost, which facilitates the evaluation of the economic efficiency of the interactive operation of the distributed energy system, and is beneficial to the economic maximization of users when using the distributed energy system.

A resource dynamic allocation device (1) includes: a thread ID acquisition unit (31) that acquires identification information of an application process initialized at a time of activation, identification information of a thread which is included in the application process and to which a possible physical resource on a physical server is allocated, and identification information of the physical resource allocated to the thread; and a resource recording / allocating unit (34) that freezes all threads of the initialized application process and freezes the thread or unfreezes the thread in accordance with any one of transfer traffic, a resource load, and a load of the application process.

The application discloses a kind of laser processing system and laser processing method;The system includes feeding belt line body, rotating table mechanism, feeding swing arm transfer mechanism, first and second probe pressing mechanism, first and second laser processing position, unloading swing arm transfer mechanism and unloading variable pitch belt line body;Feeding swing arm transfer mechanism can make adjacent products relative displacement to change the spacing between adjacent products during rotating transfer;Unloading swing arm transfer mechanism can keep the arrangement direction of the product being grabbed in horizontal plane unchanged during transfer;The adjacent transmission belt module of unloading variable pitch belt line body is set with divergent included angle, so that the product gradually opens the spacing along the transverse during transmission to the front with transmission belt module to complete variable pitch unloading.The application effectively reduces the occupied space of equipment, realizes the efficient synchronous variable pitch and partition collaborative linkage processing of product.

The present application relates to the technical field of spacecraft propulsion system, and more particularly to a micro-newton hybrid mode propulsion system and method based on gas working substance. The system comprises a gas storage unit, a gas supply unit, a thruster unit and a propulsion system driving and control unit. The gas storage unit adopts symmetrically arranged high-pressure gas cylinders connected through high-pressure isolation valves, and in combination with the automatic balancing strategy of the control unit, effectively solves the problem of on-orbit centroid drift. The gas supply unit includes parallel cold gas propulsion branches and electric propulsion branches, and each branch adopts a mechanical pressure reducer to eliminate vibration and noise caused by electromagnetic valve action from the source, realizing super-static operation of the system. The propulsion system driving and control unit controls the micro-newton cold gas thruster and the micro-newton electric thruster to work alone or in cooperation according to the distribution strategy based on the thrust critical point, realizing the optimal comprehensive efficiency of high precision and high specific impulse in the full thrust range, and being suitable for ultra-high precision space scientific exploration missions.

The application discloses an online hydraulic ash cleaning system of a waste heat boiler, which comprises a bearing steel frame, an I-shaped steel arranged on the top of the bearing steel frame, a hoisting support slidingly arranged on the I-shaped steel through a transverse moving device, a roller arranged in the hoisting support through a longitudinal lifting device, a metal hose wound on the roller, a spray head arranged at one end of the metal hose and a water supply device connected to the other end of the metal hose, a plurality of guide pipes arranged on the waste heat boiler and extending to the top of the bearing steel frame. The application can automatically and flexibly move the spray head on the metal hose along the guide pipes to the inside of different parts of the waste heat boiler, so as to effectively clean the inside walls of the different parts, thereby realizing the cleaning work of multiple parts by one device. The application can maximize the use efficiency of the device, significantly improve the cleaning efficiency and the heat exchange effect, reduce the waste of energy and the operation and maintenance cost.

Disclosed in the present invention is a wafer polishing system, at least comprising a polishing unit, which comprises a fixed working station and two polishing modules, wherein the polishing modules are located on two sides of the fixed working station; each polishing module comprises a polishing platform and a polishing arm, which can drive a wafer to move relative to the polishing platform, so as to implement a polishing process; the polishing arms of the polishing modules on the two sides are located in a diagonal direction of the fixed working station; and the polishing arms can respectively swing between the fixed working station and the polishing platforms to transfer the wafer, and movement regions of the polishing arms having an overlapping portion. By means of the present invention, the polishing arm of each polishing module is independently controlled, so as to achieve better stability and flexibility; and only one fixed working station is needed to achieve the cooperation of multiple polishing modules to implement the polishing process of single or multiple wafers, so that the movement path in the polishing process is greatly shortened, which minimizes the time of the transfer process and improves the polishing efficiency.

The present invention discloses a truck and drone collaborative logistics distribution method and system applicable to mountainous areas. The method takes into account the environmental factors of mountainous areas, quantifies the risk cost through risk assessment, and optimizes the drone delivery path in combination with a path planning algorithm. On this basis, the advantages of trucks at special nodes in mountainous areas are fully utilized to establish a joint distribution model of trucks and drones, ensuring comprehensive coverage of the distribution area, and effectively improving the efficiency and safety of mountainous logistics distribution. The present invention is applicable to logistics distribution tasks under complex terrain conditions in mountainous areas.

The invention discloses an automatic Brinell hardness detection system and a detection method thereof, and belongs to the technical field of Brinell hardness detection. Comprising an integration unit, a feeding unit, a transfer unit, a polishing unit and a Brinell hardness detection unit, and the integration unit controls the feeding unit, the transfer unit, the polishing unit and the Brinell hardness detection unit; the feeding unit comprises a conveying track and a turnover box, a conveying belt is arranged on the periphery of the conveying track, a visual sensor support is arranged on the conveying track, a clamping device is arranged on the portion, below the support, of the conveying track, an optical recognition system is arranged on the support, the turnover box can move along with the conveying belt, and the transferring unit can transfer parts in the turnover box to the grinding unit. According to the system, a special clamp does not need to be independently designed according to a to-be-detected part, the turnover box is conveyed through the conveying belt, the part is recognized and positioned through the optical recognition system, automatic detection of the part with a complex structure can be completed, and the system is suitable for automatic hardness detection of the parts with multiple specifications and complex shapes.

The utility model discloses a kind of multi-station stud welding platforms, including rack assembly;Table top component is set on rack assembly;Module component is set on rack assembly, including X direction module, Y direction module and Z direction module;Sliding assembly is set on the table top component, the sliding assembly has multiple and can be along Y direction horizontal sliding, to close or away from the welding torch component;The sliding assembly has initial state and working state, the initial state is the state when away from the module component, for feeding or positioning;The working state is the state when close to the module component, for the welding torch component executes welding task;Clamp component, nail feeding component, stud welding machine and control control component.The utility model discloses a kind of multi-station stud welding platforms, be provided with multiple sliding assemblies, multiple sliding assemblies are in turn welded operation, realize the use efficiency maximization of welding torch component, to reduce the cost of stud welding process.

The present invention discloses a security robot dispatching and scheduling system and method for intelligent security, and relates to the field of robot automation technology. The system includes a task identification module, which is used to identify newly received tasks; a task feature calculation module, which is used to extract task data and calculate task features; a task evaluation module, which is used to calculate the task priority score according to the task features, and calculate the total cost of the security robot to complete the task according to the task data and the state data of the security robot acquired in advance; a task allocation module, which is used to calculate the cost-effectiveness ratio according to the total cost and priority score, and sort the security robots according to the cost-effectiveness ratio to schedule and allocate tasks; by calculating the total cost required for the task, it helps to ensure the optimal allocation and use of resources; the cost-effectiveness ratio is calculated according to the priority score and total cost of the task, and tasks are allocated based on this, ensuring the economy and efficiency of resource investment.