112results about How to "Reduce switching times" patented technology

The invention relates to an automatic switching method of a terminal and a satellite based on multi-attribute decision, and belongs to the technical field of satellite communication. The objective of the invention is to solve the problems of frequent switching and network performance reduction caused by high-speed movement of satellites in a 5G NTN low-orbit satellite communication scene. The method comprises the following steps: firstly, a terminal collects information of satellites in a visible range, including longitude and latitude, signal strength, serial numbers, channel resources and the like, and reports the information to a service satellite; and the service satellite calculates the remaining coverage time of the current satellite on the terminal according to the reported information, and judges whether to trigger switching. And if switching is triggered, the service satellite screens a candidate satellite set, quantitative evaluation is carried out according to attributes such as a satellite elevation angle, residual service time, the number of channels and switching time delay, and the satellite with the maximum comprehensive quantitative value is selected as a target satellite. And finally, the service satellite initiates a switching request to the target satellite and starts a switching process to complete switching between the terminal and the satellite.

The invention relates to a vehicle-mounted network switching method and device in an Internet of Vehicles environment and electronic equipment, and the method comprises the steps: determining the receiving power of a target vehicle when the target vehicle is connected with each network base station in the future based on the future trajectory information and a channel knowledge graph of the target vehicle, and the channel knowledge graph comprises the channel information of each position; according to the future trajectory information of the target vehicle, determining the residence time of the target vehicle in the coverage range of each network base station in the future; and determining a target network switching strategy of the target vehicle based on the residence time of the target vehicle in the coverage range of each network base station in the future, the receiving power when each network base station is connected in the future, the network base station switching cost and the real-time load of each network base station. The problem that network switching achieved by an existing vehicle-mounted network switching method is prone to lagging behind communication environment changes is solved.

The invention belongs to the technical field of photovoltaic power station optimization, and particularly relates to a photovoltaic power station compensation adjustment optimization system and method. Historical data are called to divide power consumption peak and off-peak periods, photovoltaic access stability and fluctuation periods, and photovoltaic power generation strong and non-strong periods; therefore, whether the adaptive access object of the power grid is the energy storage battery or the photovoltaic power station is determined based on the time division when the power grid needs to be accessed to the external power supply, the energy storage battery can be preferentially used for taking power instead of directly taking power from the photovoltaic power station, so that the photovoltaic power grid access frequency is reduced to a great extent, and the power grid access efficiency is improved. Therefore, the switching frequency of the reactive power compensator is reduced, the abrasion of equipment is reduced, the service life of the equipment is prolonged, meanwhile, the power grid can dynamically adjust the output of the energy storage battery and the photovoltaic power station based on the scheduling strategy of time division, and the flexibility of the system is improved.

The invention is suitable for the technical field of electronic circuits, and provides a direct current conversion circuit, a switching power supply and electronic equipment. The circuit comprises a current detection module, a driving module, a conversion module and a control module, the driving module is respectively connected with the current detection module, the conversion module and the control module, and the conversion module is respectively connected with the current detection module, the control module and a load. When the direct current conversion circuit is in a light load state and works in an intermittent conduction mode, the control module outputs a control signal according to the output voltage; the current detection module detects a first current flowing through the inductor, and outputs a first level signal when the first current is smaller than a second threshold value, so that the driving module outputs a first driving signal according to the control signal, the first level signal and the clock signal to control the conduction of the power tube; when the first current is larger than or equal to a second threshold value, a second level signal is output, the driving module outputs a second driving signal according to the control signal, the second level signal and the clock signal, and the power tube is controlled to be turned off.

The invention provides a model data processing method and device, and the method comprises the steps: obtaining original model data of a target model; determining repeated vertexes, deleting vertex data corresponding to the repeated vertexes to obtain de-duplicated vertex data, and performing quantization processing on the de-duplicated vertex data to obtain processed vertex data; according to the data type of the map data, compressing the map data to obtain processed map data; according to the material data, model components with the same material attribute are determined and combined, combined model components are obtained, and the material data of the combined model components serve as processed material data; and compressing and uploading the processed vertex data, the processed mapping data and the processed material data as new model data. By reducing redundant data, optimizing a data structure and adopting an efficient compression algorithm, light weight of model data is realized, so that the rendering efficiency and the transmission rate are improved.

The invention discloses a communication signal interference optimization system and method based on machine learning, and the system comprises a channel data collection module which collects channel data in a communication environment, builds a channel data group, and transmits the channel data group to a data processing and feature extraction module; the data processing and feature extraction module is used for receiving the channel data set in real time and carrying out preprocessing and multi-feature engineering processing on the channel data set to obtain a channel feature set and a signal quality data set; the machine learning model module is used for constructing a multi-level model and training the constructed multi-level model; the self-adaptive channel selection optimization module is used for performing interference prediction analysis by using the training data transmitted by the machine learning model module and triggering a multi-channel switching mechanism; and the iterative optimization module is used for acquiring interference data in real time through the signal interference detection equipment group after the initial signal selection, evaluating and optimizing the current channel signal quality, and generating an iterative mechanism.

The invention discloses a partition pseudo-interrupt implementation method based on a shared storage domain, which comprises the following steps that: a core operating system initializes a pseudo-interrupt mechanism, and allocates a shared storage domain space for storing a pseudo-interrupt event; when an external interrupt is triggered, the core operating system stores a corresponding pseudo-interrupt event in a shared storage area corresponding to the partition, and sends a pseudo-interrupt signal to the corresponding partition; and registering a pseudo-interrupt service program in the partition, and when pseudo-interrupt of the partition is triggered and executed, sequentially taking out events from the shared storage area corresponding to the partition for processing until all events are processed. According to the method, the pseudo-interrupt event is stored in the shared storage domain of the system, so that the switching times of a user state and a system state can be reduced, the system overhead is saved, and the real-time performance of the embedded partition operating system is improved.

The invention discloses an EPS emergency power supply control method and system based on rail transit, and relates to the technical field of EPS emergency power supply control, and the method specifically comprises the following steps: obtaining the load fluctuation information of a power grid when each charging device in a vehicle depot is started in real time, respectively generating an instantaneous power change coefficient and a starting load stability coefficient of each charging device; comprehensively analyzing the generated instantaneous power change coefficient and starting load stability coefficient of each charging device, and respectively generating a comprehensive instantaneous power change coefficient standard deviation and a comprehensive starting load stability coefficient standard deviation; and constructing a load fluctuation evaluation model for the generated standard deviation of the comprehensive instantaneous power change coefficient and the standard deviation of the comprehensive starting load stability coefficient, generating a load fluctuation evaluation coefficient, and performing analysis after generation. According to the method, the problem of misjudgment caused by load fluctuation when the metro depot charging equipment is started is solved, and accurate evaluation and dynamic adjustment of the power supply stability are realized.

The invention discloses an intelligent computing power resource management system and method, and the system comprises a virtual computing power card HAL, a computing power management unit, and a computing power resource application and release unit, the virtual computing power card HAL is used for carrying out the computing power abstraction of all GPU / FPGA / NPU physical computing power cards, and forming a plurality of computing power resource pools with the computing power aggregation of the plurality of computing power cards; the computing power management unit is used for performing data resource management on a computing power resource pool by taking 1TFLOPS as a unit; the computing power resource application and release unit provides API interfaces for different applications, and dynamic application, dynamic release and dynamic migration of computing power resources are achieved, so that the switching frequency of application contexts is reduced. According to the invention, cooperative work and computing power aggregation of a plurality of computing power cards such as GPU / NPU / FPGA are realized, so that a larger computing power resource pool is formed. And 1TFLOPS is taken as the minimum unit of computing power management, so that fragmentation of computing power resources is reduced, dynamic application and release of the computing power resources are realized, and the efficiency of the computing power card is improved.

The invention discloses an ice storage control method and system based on hierarchical multi-objective optimization, and the method comprises the steps: building a double-layer ice storage system control model, and carrying out the optimization of the working states of all equipment in an ice storage system through taking the operation cost, the carbon emission and the energy consumption of the ice storage system as optimization objectives; compared with traditional ice storage for optimizing the cold release amount and the ice storage amount, the energy consumption is low, and a better effect can be achieved; meanwhile, a penalty function is introduced into a lower-layer ice storage system control model, the switching frequency of a dual-working-condition refrigeration host is reduced, and the system stability is improved. In addition, the equipment in the ice storage system is optimized by utilizing the double-layer ice storage system control model, the calculation process is simple and convenient, and the feasibility is higher; in order to ensure the effectiveness and the accuracy of system optimization control, the mathematical model of the equipment is continuously updated and perfected in the process of optimizing the target so as to adapt to the dynamically changing environment and requirements.

The invention discloses a multi-target water floating garbage tracking method based on D-StrongSORT (Dempster-StrongSORT). Relates to the technical field of image recognition and tracking. A D-StrongSORT multi-target tracking algorithm combining an appearance model and a motion model is used for tracking floating garbage, a previous detection result video is used as input, a previous position state is associated with a next position state by calculating motion features and appearance features, prediction and tracking of a target position can be well achieved, DIOU is adopted by the D-StrongSORT to replace IOU, and the prediction and tracking efficiency is improved. According to the method, a new feature updating strategy is used to match appearance features of a tracking target to reduce ID switching times of the tracking target, adaptive Kalman filtering is used to reduce error accumulation of a motion model, a new feature updating strategy is used to match the appearance features of the tracking target when an appearance model is established, and better correlation matching of the motion model and the appearance model is realized by designing adaptive weighted cost matrix calculation.

The embodiment of the invention provides a DU switching method and device, a source DU, a target DU and a CU, and relates to the technical field of satellite communication, and the method comprises the steps: obtaining a target instruction from the CU under the condition that a measurement report is received from UE; generating a UE context modification response in response to the UE context modification instruction; sending a UE context creation instruction to the target DU to enable the target DU to create a UE context, and generating and sending a UE context creation response to the source DU; in response to the UE context creation response, sending a UE context modification response and a UE context creation response to the CU, and sending an RRC reconfiguration message to the UE, so that the UE stops data transmission with the source DU, switches to the target DU, and generates and sends an RRC reconfiguration completion message to the source DU; and forwarding the RRC reconfiguration completion message to the target DU, so that the target DU sends the RRC reconfiguration completion message to the CU, and determining that the UE completes DU switching. By applying the scheme provided by the embodiment of the invention, the DU switching time can be shortened.

The invention discloses a die switching device, a crimping station die switching method and wiring harness processing equipment, the die switching device comprises a rack, a translation mechanism, a sliding mechanism and a supporting mechanism, the sliding mechanism is arranged on the upper surface of the rack, the translation mechanism is connected with the sliding mechanism, the sliding mechanism is matched with at least two sets of dies, and the supporting mechanism is arranged on the upper surface of the rack. The supporting mechanism is arranged on the rack corresponding to a crimping station of the die, the translation mechanism can drive the sliding mechanism to drive the adaptive die to horizontally move so as to switch the target die to the crimping station, and the supporting mechanism can support the die at the crimping station. The sliding gap possibly existing in the sliding mechanism is counteracted through the supporting effect, and it is ensured that the die is always kept at the accurate position in the crimping process.

The utility model discloses a vehicle body double-door-ring structure which comprises an A column part, a B column part, a C column part and a doorsill part, a first closed door ring is formed by the A column part, the B column part and the doorsill part, and a second closed door ring is formed by the C column part, the B column part and the doorsill part. The A-pillar part comprises an A-pillar upper part and an A-pillar lower part, an A-pillar inner welding seam is arranged between the A-pillar upper part and the A-pillar lower part, and an A-pillar doorsill welding seam is arranged between the A-pillar lower part and the doorsill part; the B-pillar part comprises a B-pillar upper part and a B-pillar lower part, a B-pillar inner weld joint is arranged between the B-pillar upper part and the B-pillar lower part, an A-pillar B-pillar weld joint is arranged between the B-pillar upper part and the A-pillar upper part, and a B-pillar doorsill weld joint is arranged between the B-pillar lower part and the doorsill part; the C-column part comprises a C-column upper part and a C-column lower part, a C-column inner weld joint is arranged between the C-column upper part and the C-column lower part, a B-column C-column weld joint is arranged between the C-column upper part and the B-column upper part, and a C-column doorsill weld joint is arranged between the C-column lower part and the doorsill part. The utility model further discloses an automobile with the automobile body double-door-ring structure.

The invention provides a method, a system, equipment and a medium for improving a reconfigurable battery network, and the method comprises the steps: determining the number of series and parallel battery units in the reconfigurable battery network according to a load demand, and building a reconfigurable battery network model by taking an output voltage during given operation and the output power of the system as constraint conditions; based on the basic information of the battery units in the reconfigurable battery network model, the equalization requirements of the battery units are evaluated, an equalization strategy of each battery unit is established, and the equalization strategy comprises an equalization mode of each battery unit and the priority of the equalization mode; giving a corresponding switch driving signal to the reconfigurable battery network model, and reconfiguring the connection between the battery units based on an equalization strategy; monitoring the voltage, the state of charge (SOC) and the temperature of the battery unit, and evaluating and adjusting the current equalization strategy according to the real-time data; and if the equalization strategy reaches the constraint condition, equalization monitoring is stopped, and the optimized reconfigurable battery network model is obtained.

The disclosure provides a communication control method, device, equipment, chip and medium, wherein the communication control method comprises: determining an initial uplink resource of a first cell, wherein the initial uplink resource is used for uplink transmission of the first cell; determining a first uplink resource according to the initial uplink resource; transmitting a first signal of a second cell according to the first uplink resource, wherein the first signal is used for determining downlink channel quality of the second cell, and the second cell multiplexes the initial uplink resource of the first cell; and maintaining the first uplink resource. The technical problem that in the prior art, in the carrier rotation scene, the number of cell switching is large, the source cell needs to wait for a long time before the uplink transmission can be recovered, and the communication performance is affected is solved.

The invention belongs to the technical field of motor control, and discloses a motor model prediction control method based on asymmetric hybrid vector pulse width modulation. Six sectors of a space voltage vector are divided into odd number sectors and even number sectors. In a singular sector, only a zero vector and a corresponding non-zero effective vector are adopted to perform two-section asymmetric synthesis, so that only one switching state change occurs in one period; in an even number sector, a non-zero effective vector in the sector, a non-zero effective vector in an adjacent odd number sector screened by a cost function and a zero vector are adopted to carry out three-section type asymmetric synthesis, and unnecessary switching actions are avoided while the current tracking performance is ensured. By means of the method, targeted control over the switching times is achieved in different sectors, and the average switching frequency is reduced. In the even-number sectors, optimization is carried out between the non-zero effective vectors of the adjacent odd-number sectors, the current prediction error is further optimized under the condition that the switching frequency is not obviously increased, and the current performance is ensured.

The present invention proposes a high-throughput satellite bandwidth adaptive allocation method, which can adaptively allocate bandwidth to users in different scenarios, while increasing user experience and reducing the number of potential frequency band switching times of users. It includes: dividing the system bandwidth into N sub-bands; setting an access threshold value according to the maximum number of access users in each sub-band, and judging whether the number of access users in the sub-band reaches the access threshold value, if it reaches it, it is defined as a bandwidth resource shortage scenario, otherwise it is defined as a bandwidth resource sufficient scenario; when it is a bandwidth resource shortage scenario, when a new user accesses, a sub-band with a small bandwidth is preferentially selected for access, at which time all sub-bands have reached the access user number threshold value; when it is a bandwidth resource sufficient scenario, when a new user accesses, a sub-band with a large bandwidth is preferentially selected for access, and at the same time, the master station counts the amount of service data of the accessed user in real time.

The application discloses a head tracking method in a conference room multi-camera system and related devices, and the method comprises the following steps: collecting video stream data in the conference room based on the multi-camera system, and performing head tracking processing on the video stream data based on a multi-target tracking algorithm to obtain head tracking data in the video stream data; performing glass reflection head filtering processing on the head tracking data in the video stream data based on a pre-trained glass reflection filtering model to obtain filtered head tracking data; performing glass inside and outside distinguishing processing on the filtered head tracking data based on a monocular depth estimation glass boundary distinguishing mode to obtain head tracking data in the glass, and displaying the head data in the glass in real time to a specified area of a conference display screen. In the embodiment of the application, the tracking accuracy can be improved in the scene of multiple people overlapping in the conference room, and the interference of glass reflection and data inside and outside the glass can be effectively removed.

The invention relates to a bale plucker (1; 40) for stripping a fiber bundle from a fiber package (3, 4) placed on a stationary substrate (2), comprising a frame (5) which can move on a substrate (2), a gripping unit (6) which is fixed on the frame (5) in a height-adjustable manner and is used for stripping a fiber bundle, a suction pipeline unit (7) which is connected to the gripping unit (6) and is fixed on the frame (5), and a channel device (8) which can be fixedly arranged relative to the substrate (2), a channel device (8) for receiving fiber bundles in the fiber material flow (F) and optionally transporting the fiber bundles to the first processing line or the second processing line, characterized in that a material flow divider (22) which is arranged in a stationary manner on the machine frame (5) is connected between the suction line unit (7) and the channel device (8), the material flow divider (22) being controllable, and the material flow divider (22) being arranged in a stationary manner on the machine frame (5). The channel device (8) can be connected to the first processing line in such a way that the fiber material flow (F) can be selectively guided through a first channel section (33) of the channel device (8) that can be connected to the first processing line or a second channel section (34) of the channel device (8) that can be connected to the second processing line.

The embodiment of the invention provides a signal processing method and circuit, a chip and electronic equipment, and the method comprises the steps: carrying out the PWM modulation of an input signal, and obtaining a PWM positive signal and a PWM negative signal; outputting a positive output signal and a negative output signal according to the PWM positive signal and the PWM negative signal; wherein in response to the fact that the absolute value of the amplitude of the input signal is larger than a threshold value, one of the positive output signal and the negative output signal does not comprise pulses, and the other one of the positive output signal and the negative output signal comprises two pulses in one pulse period. According to the scheme, the performance of the output signal can be improved while the performance is improved.

The application relates to the technical field of air conditioner intelligent control, and specifically discloses a multi-heat-exchanger intelligent defrosting control method and device based on multi-parameter fusion and heat load prediction and a storage medium, which comprises the following steps: collecting multi-dimensional operation data; performing feature calculation on the collected original data to obtain fin temperature change rate, evaporation pressure fluctuation rate and air enthalpy difference absolute value; constructing a fuzzy reasoning system to generate a frost formation confidence value; constructing a feedforward neural network model to generate an optimal defrosting cycle prediction value; generating a defrosting trigger instruction or a continuous monitoring instruction according to the confidence interval and the cycle achievement situation; detecting and pre-adjusting the pressure difference between the high-pressure side and the low-pressure side to execute switching between the running heat exchanger and the defrosting heat exchanger; collecting fin temperature data of the defrosted heat exchanger to generate a defrosting completion judgment result. Through improvement of the defrosting method, accurate frost formation state sensing, self-adaptive adjustment of the defrosting cycle, optimization of the judgment strategy and smooth control of the switching process are realized.

This invention discloses a deterministic path set planning method for low-Earth orbit (LEO) satellite networks based on the spatial domain. Based on predictable LEO satellite topology information, a shortest path algorithm is used to obtain a set of lateral paths that meet the deterministic service transmission delay requirements. The lateral path set within the j-th time slice is compared with the lateral path set within the (j+1)-th time slice. The path with the most overlapping inter-satellite links is selected as the path in the (j+1)-th time slice corresponding to a path in the j-th time slice, and so on, to obtain the set of longitudinal paths within the complete service time. The impact of different longitudinal path sets on transmission delay is measured to obtain an optimal deterministic path set. This invention determines the path search range by dividing the spatial domain and extended domain, maintaining path consistency, and reducing the number of path switching times within the service transmission time while ensuring that deterministic services meet the delay threshold, thereby reducing the overall transmission delay within the complete service time and improving the deterministic service capability.

The application discloses an improved deadbeat control method for reducing switching loss, and is implemented according to the following steps: step 1, modeling a single-phase circuit of an MMC, and meanwhile, establishing a single-phase upper and lower bridge arm node current equation; step 2, discretizing the established equation, and taking a ring current as a reference quantity to establish a deadbeat control system; step 3, collecting voltages of upper and lower bridge arms of each phase of the MMC and discriminating voltage discretization; step 4, operating the upper and lower bridge arm voltages output by step 2 to obtain the number of sub-modules that should be turned on for each phase of the upper and lower bridge arms of the MMC in the next control period; and step 5, sorting each sub-module voltage of each phase after being processed in step 3, and meanwhile, turning on or turning off specific sub-modules according to the number of sub-modules that should be turned on for each phase of the upper and lower bridge arms in the next control period obtained in step 4. The application can improve system dynamic performance, improve output voltage quality and reduce the number of times of turning on sub-modules of the system.

The present invention discloses a BURST control circuit based on a forced continuous mode DC-DC, comprising a DC-DC converter, an error amplifier EA, a current sampling circuit CURRENT SENSE, a PWM comparator CMP1, a modulator PWM MODULE, a BURST comparator CMP2 and a BURST_VREF generator BURST_VREF_GEN. The present invention adds a BURST mode under the premise of FCCM. When the load is light, the DC-DC can skip cycles to effectively reduce the number of switches. The skip cycle frequency is proportional to the load current, and the reverse current in each switching cycle can be avoided, thereby greatly improving the light load efficiency.

This utility model discloses a machining fixture for the main boom of an aerial work platform, comprising: a machine tool worktable and an end positioning and clamping device, a rotary clamping device, and a tail-side pushing and clamping device mounted on the machine tool worktable. The end positioning and clamping device, the rotary clamping device, and the tail-side pushing and clamping device are arranged sequentially at the front, middle, and rear of the machine tool worktable, and the three can automatically and collaboratively clamp the main boom of the aerial work platform. This application achieves automatic positioning and multi-point collaborative clamping of the main boom workpiece, eliminating positioning errors caused by manual operation. The hydraulic drive system ensures synchronous operation of each clamping device, shortening the clamping preparation time. The adaptive adjustment mechanism is compatible with workpieces of different specifications, reducing the number of tooling changes. The composite clamping method disperses contact stress, preventing clamping deformation of thin-walled structural parts. The multi-directional constraint mechanism effectively suppresses machining vibration and improves the positional accuracy of hole machining.

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.

The invention relates to an access network switching method and device, communication equipment, a storage medium and a computer program product. The method comprises the following steps: receiving a message transmission request sent by a session management function (SMF), wherein the message transmission request is used for indicating a multi-access PDU session to activate a user plane resource through a first access network; the message transmission request comprises switching indication information; the multi-access PDU session comprises a user plane resource of a first access network of a first access mode and a user plane resource of a second access network of a second access mode; and if the user terminal is not available in the first access network, activating the user plane resource through the second access network according to the switching indication information. By adopting the method, the switching duration of the access network can be reduced, and the data transmission efficiency is improved.

The invention relates to a parameter debugging method and device, electronic equipment and a computer program product, and belongs to the technical field of games. The method comprises the following steps: displaying a parameter setting interface in response to a setting instruction, wherein the parameter setting interface comprises parameter value setting controls of a plurality of parameters; responding to a batch setting instruction for at least one target parameter, and generating one or more debugging parameter values of the target parameter; displaying a game operation interface in response to the interface switching operation, the game operation interface including a batch debugging control, a game match scene and a virtual character, and the batch debugging control including a debugging parameter use control corresponding to a plurality of debugging parameter values of at least one target parameter; and determining one or more target debugging parameter use controls from the debugging parameter use controls, and performing game operation according to debugging parameter values corresponding to the target debugging parameter use controls. Through batch setting and debugging of the parameters, the interface switching frequency can be reduced, and the parameter debugging efficiency is improved.

An embodiment of the present invention provides a distributed compressed air energy storage system and a turbine power generation control method thereof, which relate to the field of energy storage technology. In the embodiment of the present invention, after determining the gas releasing tank, the balanced throttling pressure difference Pti is used as the target to find the gas receiving tank to meet the preset conditions, instead of directly releasing the gas in the gas releasing tank to the remaining gas storage tanks or the atmosphere in the conventional technology. This method of first determining the gas receiving tank and then operating the turbine can make full use of the air residual pressure of the distributed compressed air energy storage system during the energy release process to improve the power generation efficiency of the system. On this basis, the number of switching times of the turbine between different storage tanks during the energy release process of the distributed compressed air energy storage system can also be greatly reduced, thereby reducing the difficulty of turbine control and helping to promote the engineering application of distributed compressed air energy storage systems.