75results about How to "Balanced energy consumption" patented technology

The invention discloses a client information management method based on a cloud environment and a related device, and relates to the technical field of data processing, and the method comprises the steps: carrying out the information safety analysis based on a client information composition parameter generated through the information composition analysis of client information, and obtaining an information safety parameter; acquiring category identification information of the customer information based on the category logic chain, and acquiring corresponding local density based on the preset information field and the category identification information; classifying the customer information based on the local density and the information security parameters; the client information of each category is stored and encrypted; obtaining a mapping relationship between the storage performance information and the encrypted customer information of each category, and determining an information storage strategy based on the mapping relationship in combination with a node partitioning strategy; and storing the encrypted customer information of each category into a storage node corresponding to a cloud storage center. According to the invention, the reliability of classified storage of the customer information is improved, and the classified storage of the customer information achieves a more ideal effect.

The invention belongs to the technical field of intelligent control of air conditioning systems, and discloses a split type air conditioner load management system and method. The system comprises a central controller, a health management module, an adaptive integrated control module AICA and an intelligent scene recognition module. The central controller integrates various sensor information such as temperature and humidity, air quality and user physiological data, data processing and intelligent decision making are carried out through an AICA module, and dynamic optimization management of air conditioner loads is achieved. The health management module automatically adjusts the air conditioner operation mode according to the body temperature, heart rate and other physiological indexes of the user, and a comfortable environment is provided. And the intelligent scene recognition module is used for pre-judging user requirements and adjusting the operation of the air conditioner by learning a user behavior mode. The energy efficiency and the intelligent level of air conditioner operation are improved, the method is suitable for air conditioner load management of various buildings, energy can be effectively saved, and the comfort level of users is improved.

The invention relates to the technical field of refrigeration control, in particular to a high-low temperature box refrigeration power closed-loop control method and device. The method comprises the following steps: acquiring multi-dimensional monitoring parameters of a high-low temperature box according to a multi-source sensor; performing three-dimensional temperature distribution analysis on the multi-dimensional monitoring parameters of the high and low temperature box, performing three-dimensional modeling on the environment in the box, and constructing a three-dimensional parameter feature model; performing dynamic refrigeration airflow dynamic analysis on the three-dimensional parameter characteristic model according to a high-low temperature box, performing three-dimensional track distribution rendering, and constructing a refrigeration flow digital twinborn model; performing multi-stage temperature change trend calculation on the refrigeration flow digital twin model, and performing dynamic refrigeration demand calculation to obtain refrigeration demand characteristics of each stage; and performing refrigeration flow property simulation based on the refrigeration demand characteristics of each stage, performing compressor refrigeration power demand planning, and constructing a dynamic power demand planning strategy. According to the invention, efficient and accurate refrigeration closed-loop control is realized.

The invention provides an intelligent switch networking method and device based on a Bluetooth mesh, and the method comprises the steps: obtaining initial feature data according to the hardware capability information, the power type information and the geographic position information of each intelligent switch connected to a Bluetooth mesh network; according to the initial feature data, performing type analysis on each intelligent switch to obtain switch type data; according to a preset network distribution algorithm and the switch type data, an initial network topology structure is obtained, and the initial network topology structure comprises backbone switches and edge switches; performing networking communication according to the initial network topology structure, collecting single load data in the networking communication process, and performing multi-dimensional evaluation according to the single load data to obtain a comprehensive load index; and when the comprehensive load index exceeds a preset threshold value, performing role upgrade evaluation on the edge switch to obtain a role adjustment decision, and obtaining an optimized network topology structure according to the role adjustment decision and the initial network topology structure.

The invention discloses an RFID antenna power control method and system considering partition identification, electronic equipment and a storage medium. The control method comprises the steps that S1, an RFID antenna transmits an electromagnetic signal to an RFID tag according to a preset transmitting power level; s2, the RFID tag carried by each electric energy meter responds to the electromagnetic signal and receives a reference message fed back by the corresponding electric energy meter; s3, the RFID reader-writer receives and records the RFID data transmission rate, the response signal strength, the corresponding electric energy meter reference information and the transmitting power level of each RFID tag under different transmitting power levels; s4, calculating a characteristic value according to the received data, and calculating a confidence coefficient according to the fed-back quantity of the electric energy meters; and S5, determining the optimal transmitting power level of the RFID antenna by combining the feature values and the confidence coefficients under different transmitting power levels. The problems that an existing RFID system is difficult to achieve accurate fine-grained identification in a complex storage environment, and the complexity of data management is increased due to the signal reflection and interference problems are solved.

The invention discloses an intelligent building maintenance management method based on the Internet of Things technology, and belongs to the technical field of building maintenance management, and the method comprises the following steps: collecting building information, and carrying out monitoring deployment; according to the method, the Internet of Things technology is adopted, a large amount of information between the buildings is correlated, all the information can form a huge information correlation network, all parts of the buildings can be managed at the same time, a good and stable monitoring effect is achieved, and meanwhile, the method has the advantages of being high in practicability, convenient to popularize and capable of solving the most important energy consumption and safety problems between the buildings. According to the building energy consumption monitoring system, special independent design is carried out, energy consumption uniformization between buildings can be effectively achieved, energy waste can be avoided, the situation of uneven energy supply can also be avoided, meanwhile, real-time analysis can be carried out aiming at monitoring pictures, some dangerous situations can be recognized and pre-judged, information can be rapidly uploaded, and the monitoring efficiency is improved. Therefore, the probability of risk occurrence can be reduced to a great extent, the harm caused by dangerous events is reduced, and the practical application effect of the method is greatly improved.

The invention relates to the technical field of industrial production, in particular to a coal proportion control method based on energy consumption dynamic balance, which comprises the following steps of: acquiring physical and chemical characteristic data of different coal types in real time through a sensor network, and constructing a multivariable energy consumption dynamic balance model in combination with production working conditions and equipment operation parameters; on the basis of the model, a genetic algorithm is used for optimizing the coal proportion, it is ensured that the production requirement is met under the lowest energy consumption, and equipment safety and environmental protection standards are considered; in the production process, energy consumption data are monitored in real time through a closed-loop control system, and the proportion is dynamically adjusted to eliminate energy consumption deviation; in addition, according to environmental data such as temperature, humidity and pressure of a production site, coal combustion characteristics are dynamically adjusted, combustion efficiency is improved, and energy consumption is reduced; the method also supports long-term storage and analysis of energy consumption data, periodically adjusts an energy consumption model and a matching strategy, and achieves the continuous improvement of energy efficiency. The method is suitable for efficient coal utilization and energy consumption optimization under complex working conditions.

The invention relates to a real-time low-energy-consumption unmanned aerial vehicle multifunctional automatic inspection method and system, and belongs to the field of automatic inspection. The method comprises the following steps: performing semantic field conversion based on a fuzzy geographic instruction, and outputting a geographic semantic field; performing vision-field coupling navigation based on a geographic semantic field, and outputting a real-time flight path and environment preliminary perception data; topological risk identification is carried out based on the real-time flight path and the environment preliminary perception data, and a 3D environment model with risk annotation is obtained; fractal energy consumption optimization is carried out based on the 3D environment model with the risk label, and an optimized waypoint sequence is output; and carrying out multi-modal data acquisition and real-time risk verification based on the optimized waypoint sequence. According to the invention, intelligent inspection of understanding natural language instructions, fusing multi-sensor information, dynamically evaluating risks and optimizing energy consumption is realized.

The invention relates to the technical field of ad hoc network data communication, in particular to an ad hoc network communication routing method and system considering battery residual energy and a medium. According to the method, residual energy virtual hops are calculated according to battery residual energy of a reference node, multipath attenuation and environmental factor influences are considered at the same time, and node receiving signal strength virtual hops are calculated according to signal strength of a transmitting node. In the path selection process, the node receiving signal strength virtual hops and the residual energy virtual hops serve as judgment bases, the routing path with higher quality and stability is selected, transmission along a single path is avoided while transmission reliability is guaranteed, node energy consumption is balanced, and the problems of resource waste and overhigh local node energy consumption are avoided. The reliability and stability of the communication transmission process are ensured, and meanwhile, the node resources are reasonably scheduled, so that the node energy consumption is balanced.

The invention discloses a semiconductor laser and a temperature control method, the semiconductor laser comprises an outer shell, a driving plate, a laser light source module and a liquid cooling plate, the outer shell is fixed on the liquid cooling plate, the driving plate and the laser light source module are both arranged on the liquid cooling plate, and the driving plate and the laser light source module are both located in the outer shell. The laser light source module comprises a light source shell, a vapor chamber, a TEC semiconductor chilling plate, a laser component PCB, a first temperature sensor and a second temperature sensor. According to the semiconductor laser and the temperature control method provided by the invention, the TEC semiconductor chilling plate is adopted to finely control the temperature of a laser component, heat dissipation is integrally performed through a vehicle body liquid cooling system, and the power consumption fluctuation is reduced while the stability of the internal temperature of the laser light source module is maintained.

The application relates to a kind of distributed unmanned aerial vehicle ad hoc network routing methods based on deep reinforcement learning, comprising;According to Markov decision process, the deep reinforcement learning architecture of unmanned aerial vehicle communication network is built;Running Dijkstra algorithm sends original data packet from source node to destination node and generates original training data according to the routing process of original data packet to pre-train the deep reinforcement learning architecture;The coordinates of the destination node D of target data packet are input, the next hop node B of current node A is obtained using the pre-trained deep reinforcement learning architecture, and target training data is generated, and the deep reinforcement learning architecture is retrained according to the original training data and target training data;Next hop node B is used as starting node, until the next hop node is the destination node, the routing of target data packet is completed, and the application can enhance the robustness of network and improve the life of unmanned aerial vehicle communication network.

The present disclosure is about a routing selection method based on energy consumption and link quality, the method comprising: establishing a software-defined flight ad hoc network model, the model comprising a control node and multiple transmission nodes; multiple transmission nodes respectively generate their own attribute data packets within a broadcast interval, and upload their own attribute data packets to the control node respectively; the control node generates a network topology based on all received attribute data packets, and according to the generated network topology, uses an ant colony optimization algorithm to respectively calculate the selection probability of each transmission node, and finally determines the best route for data transmission through the selection probability. The present disclosure can not only ensure low network latency and network overhead, while improving network throughput, but also ensure the balance of energy consumption of all transmission nodes, so that the comprehensive performance of each transmission node is excellent.

The present application belongs to the technical field of battery equalization device, especially relates to a lead-acid battery equalization device. The present application comprises: a processor module, a measurement battery selection module, a battery parameter storage module, an analog power supply module, a power module, a first charge-discharge circuit module, a second charge-discharge circuit module, and a communication module; the measurement battery selection module, the battery parameter storage module, the analog power supply module, the power module, the first charge-discharge circuit module, the second charge-discharge circuit module, and the communication module are respectively connected with the processor module; the processor module selects the first charge-discharge circuit module or the second charge-discharge circuit module through the measurement battery selection module to realize independent charge-discharge of single batteries; the first charge-discharge circuit module and the second charge-discharge circuit module sample and calculate the battery voltage in real time through the processor module to trigger the equalization operation. The present application is modularized and multi-node collaborative to realize precise charge-discharge control and real-time state monitoring.

The utility model discloses a multilayer combined filter structure of desulfurization dust remover, including tower body, at least one layer composite filler layer is arranged in the tower body, the composite filler layer is multilayer structure, and the regular shaped filler area, transition flow guide area, bulk packing area and support grating from top to bottom include successively, the regular shaped filler area and bulk packing area outside all are provided with fixed frame, the regular shaped filler area and bulk packing area are filled in the corresponding fixed frame respectively, through the high specific surface area of bulk packing, can effectively strengthen gas liquid contact in bulk packing area, improve mass transfer rate, and the low resistance characteristic of regular shaped filler can avoid partial pressure drop surge in regular shaped filler area, realizes the balance of desulfurization efficiency and energy consumption, reduces operating energy consumption while guaranteeing desulfurization effect.

This invention provides a multi-UAV sensor data acquisition trajectory planning method based on deep reinforcement learning, comprising the following steps: S1, establishing the basic framework of a UAV-assisted sensor data acquisition model in a land scenario; S2, constructing a persistent trajectory planning strategy based on an improved deep reinforcement learning algorithm according to the basic framework, and generating a UAV flight trajectory map that satisfies energy balance constraints and maximizes data acquisition value based on velocity vectors. This invention introduces a feature extraction unit module containing self-attention weight calculation to extract spatiotemporal differential features of sensor observations based on traditional multi-agent deep reinforcement learning algorithms, and combines a packet retransmission mechanism and an energy balance coefficient to optimize UAV flight energy consumption while improving the value and reliability of data acquisition. This system improves the processing efficiency of UAVs for dynamic monitoring tasks.

The present application discloses a gear shift speed control method, controller and related devices, which relate to the field of vehicle control, including: collecting the speed control time and energy consumption parameters of the target vehicle when switching to the required gear in the single drive motor speed control mode and the full drive motor speed control mode, and determining the target speed control mode of the target vehicle at least based on the speed control time and energy consumption parameters in different speed control modes, the target speed control mode being the single drive motor speed control mode or the full drive motor speed control mode, and performing gear shift speed control based on the target speed control mode. The present application collects evaluation parameters of the target vehicle in the single drive motor speed control mode and the full drive motor speed control mode, and determines the target speed control mode at least based on the evaluation parameters, while avoiding the influence of individual differences of the drive motor on the speed control accuracy, so that the determined target speed control mode satisfies the target vehicle's requirements for power continuity and energy consumption at the same time, thereby improving the speed control accuracy.

The application relates to an energy storage electric cabinet and relates to the technical field of energy storage equipment, which comprises an energy storage electric cabinet body and an efficient heat dissipation mechanism. The application has the advantages that the efficient heat dissipation mechanism is arranged, the driving motor can drive the belt pulley to rotate through the rotating shaft after being started, the two rotating shafts are synchronously rotated under the transmission action of the rubber belt, the fan blades in the wind box are high-speed rotated to generate air flow, the air flow enters the inside of the energy storage electric cabinet body through the mesh cover, the internal heat dissipation is accelerated, the purpose of efficiently dissipating heat of the devices in the inside of the energy storage electric cabinet body is achieved, meanwhile, the temperature sensor in the energy storage electric cabinet body can monitor the internal temperature in real time, the running state of the driving motor is regulated according to the temperature change, the balance between the heat dissipation effect and the energy consumption is ensured, the heat insulation cavity can reduce the influence of the high temperature of the external environment on the inside, and the effect of maintaining the internal temperature stability is achieved.

The utility model relates to the technical field of stirring tanks, provides a fluorine-containing chemical mixing and stirring tank, and solves the problem that an existing stirring tank cannot be self-adaptive to liquid level and viscosity changes due to design defects. The device comprises a tank body, wherein a feeding valve is arranged at the top of the tank body; the stirring rod is arranged in the tank body; the motor is arranged at the top of the tank body and is in driving connection with the stirring rod; the liquid level monitoring modules are respectively arranged at different heights of the inner wall of the tank body; the rotating speed sensor is arranged on the stirring rod and used for detecting the actual rotating speed of the stirring rod; the controller is electrically connected with the motor, the liquid level monitoring modules and the rotating speed sensor; through the positive correlation control of the liquid level height and the motor output power, the stirring strength is improved at a high liquid level, the energy consumption is reduced at a low liquid level, and the balance of the mixing efficiency and the energy consumption is realized.

This invention discloses an intelligent interactive companion robot based on affective computing and a large language model, relating to the field of artificial intelligence learning technology. It includes a robot hardware component and a robot head located at the top of the hardware component. The beneficial effects of this invention are: when a user operates the touchscreen, the touch signal is transmitted to the control chip on the main control board, triggering corresponding emotional feedback or command response; the identification sensing device uses a non-contact infrared sensor, which wakes up the main system when the detected signal exceeds a primary threshold; the main system runs a high-precision AI model for analysis; after reaching a warning threshold, edge-side data processing and structured transmission are performed, managing, visualizing, and storing the intelligent interactive companion robot data and corresponding analysis results. This facilitates the management of the intelligent interactive companion robot through internet cloud control, improving the level of intelligence in its management.

The invention relates to the technical field of communication, and discloses a tunnel environment Mesh network optimal energy consumption communication method based on signal intensity, which comprises the following steps of: fixedly arranging a plurality of Mesh sites in a tunnel, and dividing a calibration position of each Mesh site according to a set distance; acquiring the correction speed of the mobile terminal at each calibration position; acquiring current temperature, humidity and signal intensity at each calibration position through a sensor arranged on the mobile terminal; training the neural network model by taking the correction speed, the temperature, the humidity and the signal intensity at each calibration position as a training data set; and adjusting the transmitting power of the mobile terminal according to the distance factor output by the neural network model. According to the invention, the signal intensity and the energy consumption are balanced in the tunnel environment.

The invention relates to the field of wireless sensor networks, and discloses a routing method of a wireless sensor network based on a layering method, which comprises the following steps of: firstly, determining an optimal clustering number, and calculating a relative distance and a variance between nodes; establishing a centroid candidate set according to the variance between the sensor nodes; in the process of selecting the first centroid node in the candidate set, selecting the node with the maximum relative distance from other nodes as the centroid node; in the remaining centroid node election, selecting a node with the maximum relative distance from the existing centroid node as a newly added centroid node; running a cluster head optimization algorithm by the selected centroid node, and calculating a fitness function of each node to find an optimal cluster head node in each cluster space; in the data transmission process, the cluster member node collects data and transmits the data to the cluster head node. And the cluster head node transmits the data to the base station after data integration.

The application provides an environment monitoring method and device based on wireless sensor network joint self-learning, and relates to the field of Internet of Things monitoring.The method comprises the following steps: acquiring an original time sequence and determining the total iteration number of each edge node;at each edge node, the original time sequence is normalized, segmented, aggregated and approximately calculated, and symbolized according to the total iteration number, to generate a discrete finite symbol sequence;the discrete finite symbol sequence is subjected to abnormal probability calculation to generate a single local anomaly detection threshold;at the convergence node, the single local anomaly detection threshold is subjected to weighted fusion to obtain a weighted threshold;the single local anomaly detection threshold is updated through the weighted threshold until the iteration ends, the local anomaly detection threshold is output, and the anomaly detection of the environment is completed.The scheme effectively reduces the storage and calculation costs, realizes the communication between nodes, balances the energy consumption of the edge nodes, and improves the detection accuracy.

The application discloses a kind of building energy consumption regulation and control optimization method, system, terminal and medium, it is related to energy consumption regulation and control technical field, its technical scheme main point is: obtaining the output fluctuation data of generator set and the power load fluctuation data of target building;Determine the upper limit value and lower limit value of power load of target building at corresponding target time;Determine the dispatching optimization interval of target building at corresponding time;With the sum of all target buildings control optimization value minimum as optimization goal to establish control optimization model;Solving obtains the energy consumption regulation and control strategy of each target building.The application uses power load control, both considers the fluctuation trend brought by the randomness and uncertainty of new energy in power system in generation side, also considers the demand change trend of each building in power consumption side, can realize the balanced distribution of each building energy consumption under the demand intensity of each building with small error.

A hydrogen hydrolysis method includes: applying a first voltage to an anode and a cathode, the first voltage being above a water decomposition voltage; meanwhile, a synergistic electric field is applied between the anode and the cathode, a first voltage is set to enable basic electric field intensity to be formed between the anode and the cathode, and the synergistic electric field is used for increasing the electric field intensity in the same direction as the basic electric field intensity. A hydrogen hydrolysis device comprises an anode, a cathode, a synergistic cathode, a water electrolyser and a diaphragm, the cathode is arranged between the anode and the synergistic cathode, and the synergistic cathode is used for enhancing an electric field between the anode and the cathode. The hydrogen hydrolysis efficiency, the temperature and the energy consumption can be balanced.

The present application provides an RGB atmosphere light control circuit, a control method and an RGB atmosphere light group, which belong to the field of lighting control technology. The RGB atmosphere light control circuit includes a controller, a first drive circuit and a second drive circuit. The input ends of the first drive circuit and the second drive circuit are electrically connected to the output end of the controller respectively, and the output ends of the first drive circuit and the second drive circuit are electrically connected to the first ends of multiple color channels of the RGB lamp beads respectively. The maximum output current of the first drive circuit is a first preset current, and the maximum output current of the second drive circuit is a second preset current. The control circuit can flexibly switch or use the first drive circuit and the second drive circuit in coordination according to the target current demand of each color channel of the RGB lamp beads, so as to achieve efficient driving of the RGB lamp beads in different brightness scenes, and effectively solve the problems of insufficient brightness and poor adaptability of RGB atmosphere lights in the prior art.

The application discloses a heat dissipation structure of a memory module and an integrated circuit package, which comprises two air pipes, the two air pipes are arranged side by side along an axial direction, the two air pipes are communicated with each other through a connecting pipe, and the airflow directions in the two air pipes are opposite, a chip assembly is arranged between the two air pipes, the chip assembly comprises a plurality of semiconductor wafers, a plurality of heat pipes are fixedly installed between adjacent semiconductor wafers, two heat evenly plates are fixedly connected to two ends of each heat pipe, and the two heat evenly plates are embedded in the side walls of the corresponding air pipes, and an airflow dynamic adjusting mechanism is assembled on the air pipe, the airflow dynamic adjusting mechanism can adaptively adjust the airflow speed according to the air volume, the convection heat exchange efficiency is strengthened, the air duct diameter is adaptively adjusted by relying on the pure mechanical structure, the Venturi effect and the horn mouth flow guide structure are combined, the heat exchange is dynamically strengthened, the low air resistance and low energy consumption are considered, and the heat dissipation performance of the memory module is obviously improved.

This invention relates to the field of air conditioning control technology, and in particular to a control method, device, equipment, and storage medium for a dual-outlet wall-mounted air conditioner. The method, based on a structure of dual independent air outlets and dual independent air ducts, solves the technical problems of traditional single-outlet wall-mounted air conditioners, such as direct cold air blowing, reduced cooling capacity due to reduced airflow speed, and poor scene adaptability, through control rules that fix the initial air outlet mode upon startup, determine real-time parameters, and execute three modes in a graded manner. Specifically, the forced execution of the front air outlet mode upon startup can quickly establish indoor cooling capacity to match the user's immediate cooling needs. Based on real-time operating parameters, it achieves unattended confirmation of the pending execution mode, reducing user operating costs. The three modes—front air outlet, bottom air outlet, and dual air outlet—correspond to conventional cooling, anti-direct-blow dehumidification, and rapid temperature adjustment in large spaces, respectively. Through the opening and closing of the air outlets and the coordinated adjustment of core components, it improves user comfort while ensuring cooling efficiency, balancing cooling effect, energy consumption, and user experience.

This application discloses a method, apparatus, equipment, storage medium, and product for balancing energy consumption in a pumping unit well group, relating to the fields of industrial automation and energy efficiency optimization technology. The method includes: acquiring pumping unit electrical parameter data based on IoT devices and an oilfield database; calculating the power parameters and system efficiency data of each pumping unit based on the electrical parameter data; and accurately reflecting the operating status and power consumption of each pumping unit through real-time electrical parameter data acquired from IoT devices and the oilfield database. By inputting the power parameters and system efficiency data of each pumping unit into a pre-constructed pumping unit well system model, the corresponding target motor frequency is obtained. The pumping unit power is adjusted in real-time according to the target motor frequency, enabling dynamic calculation and optimization of the motor frequency, thereby achieving energy balance in the well group. By adjusting the motor frequency in real-time, it is ensured that the pumping units always operate at their optimal operating points, improving the control stability of the well group.

The invention belongs to the technical field of dampers, and discloses a symmetrical high-performance viscoelastic damper which comprises two supporting plates, through holes are formed in the supporting plates, and the two supporting plates are connected through a pre-tightening connecting piece; a connecting plate is arranged between the two supporting plates, a plurality of groups of viscoelastic materials are arranged between the connecting plate and the supporting plates, the loss factor of the viscoelastic materials is not less than 0.2, the viscoelastic materials are one of rubber or polyurethane, and the connecting plate and the viscoelastic materials are distributed in a symmetrical structure. According to the invention, a symmetric structure design and a high-performance viscoelastic material (the loss factor is greater than or equal to 0.2) are adopted, so that the energy-dissipating capacity of the damper is greatly enhanced and is more than two times that of a common viscoelastic damper, which means that the damper can absorb and dissipate more energy under the same vibration or impact condition, and the energy-dissipating capacity of the damper is greatly improved. Therefore, vibration and displacement of the structure are effectively reduced.

The invention provides an edge server deployment method capable of maximizing profit. The method comprises the following steps: step 1, setting an edge server deployment scene as a smart city scene; 2, preprocessing a Shanghai telecommunication base station data set, wherein the data set comprises the number of base stations, latitude and longitude coordinates of the base stations and the data volume of the base stations accessed by mobile terminal equipment; 3, constructing a mathematical model and a target function; 4, establishing an edge server deployment algorithm; and 5, completing edge server deployment and base station allocation according to an edge server deployment algorithm. According to the edge server deployment method of the improved grey wolf optimization algorithm, the system time delay and the energy consumption of the edge server can be effectively balanced, so that an edge service provider can obtain more profits as much as possible.