187 results about "Effective energy" patented technology

The invention discloses a tunnel construction progress digital twinborn prediction and resource scheduling system and method, relates to the technical field of tunnel construction, and provides the following scheme that the method comprises the steps that real-time monitoring data of a tunnel construction area are collected, the real-time monitoring data comprise equipment position information and process progress quantitative data, and a BIM model of the tunnel construction area is constructed; dividing the equipment position information into a plurality of continuous time windows according to time nodes of the BIM model, and obtaining equipment operation parameters and corresponding energy consumption values in each time window; when the effective energy consumption is calculated, the geological condition grade weight and the construction process reference value are introduced to dynamically correct the initial efficiency coefficient, and meanwhile, the geological condition fluctuation, the equipment performance attenuation and the process connection change in the construction conditions are reflected through the time attenuation coefficient, so that the nonlinear influence of the geological difference and the process adjustment on the energy consumption efficiency is effectively eliminated; the strong relevance between the energy consumption and the progress is established, and a reliable data association basis is provided for progress prediction.

The invention relates to a refrigeration air conditioner control method and system based on a dynamic adjusting algorithm, a low-pressure area and a high-pressure area in a cold-chain logistics transportation cabinet are judged through real-time reference air pressure data of a barometer, and the real-time reference air pressure data of the barometer can be received and analyzed. A sliding window is established, based on the sliding window, a parameter diagram of real-time reference air pressure data is segmented, real-time pressure data in the sliding window is obtained, when the conveying amount of cold air is too large, a low-pressure area can be formed in the cold-chain logistics transportation cabinet, and then more wet hot air is absorbed, so that the interior of the cold-chain logistics transportation cabinet is frosted and frozen; and more effective energy can be consumed. When the conveying amount of the cold air is too small, a high-pressure area can be formed in the cold-chain logistics transportation cabinet, and the preset temperature cannot be reached. Through the air pressure data, the temperature in the cold-chain logistics transportation cabinet can be accurately obtained.

The invention discloses a bare concrete appearance quality evaluation method, which belongs to the field of concrete quality evaluation, and adopts the technical scheme that process data are synchronously acquired in a bare concrete pouring process; obtaining concrete surface appearance index data after demolding; performing time synchronization and spatial inverse registration on the acquired data, and performing gridding association on the appearance indexes and the process data in the corresponding time windows; for each grid unit, extracting vibration effective energy, pumping pressure fluctuation characteristics, template deformation characteristics and environment correction factors from the process data in the corresponding time window and space range, and combining the vibration effective energy, the pumping pressure fluctuation characteristics, the template deformation characteristics and the environment correction factors into a joint characteristic vector; constructing a structural causal model, calculating the cause posterior probability of the appearance defect for each grid, and outputting cause probability distribution of under-vibration, over-vibration, unstable pumping, insufficient template rigidity and environmental sensitization; and generating an appearance quality score according to the cause probability distribution. The method has the beneficial effect that the method for evaluating the appearance quality of the fair-faced concrete is provided.

The invention relates to an intelligent charging station resource scheduling method and system based on data processing, and relates to the field of the vehicle charging technology, and the method comprises the steps: obtaining the remaining energy storage electric quantity; determining required supplementary electric quantity according to the full-load energy storage electric quantity and the residual energy storage electric quantity; determining energy storage demand duration according to the energy storage efficiency and the demand supplementary electric quantity; constructing a permissible energy storage time period and delimiting a unit interval; constructing a historical interval, determining a similar interval in the historical interval according to each unit interval, and determining a historical energy storage electricity price in the similar interval; combining each unit interval according to the energy storage demand duration to construct a simulated energy storage scheme, and determining the overall electricity price of the scheme according to each historical energy storage electricity price in each simulated energy storage scheme; and defining the simulation energy storage scheme corresponding to the scheme overall electricity price with the minimum numerical value as an effective energy storage scheme, and controlling the charging station to perform energy storage scheduling in a unit interval in the effective energy storage scheme. The charging station has the effect of reducing the power utilization cost of the charging station.

The invention discloses a metabolite detection method for diagnosing lithangiuria, and relates to the technical field of metabolite detection. The method comprises the following steps: collecting and preprocessing a urine sample, and generating a composite fluorescence signal based on the preprocessed urine sample so as to obtain a composite function; constructing an orbital function system, and performing projection processing on a composite function to obtain initial orbital energy; based on the initial orbital energy, a mutual exclusion function between metabolites is introduced, an effective energy contribution value is calculated, and a decoupled energy response amount is obtained; converting the decoupled energy response quantity into a concentration estimation value, and generating a rotation response value based on the concentration estimation value; generating a coupling threshold based on the concentration estimation value and the rotation response value; and carrying out risk scoring based on the coupling threshold value to obtain an individual risk score value of the urinary calculi. The invention solves the problems of inaccurate concentration estimation of the metabolite and low metabolite detection precision caused by inaccurate analysis of the metabolite under complex interference conditions in the existing metabolite detection method.

Described are various embodiments of a smart attic ventilation system, and sensor module therefor. Also described are various embodiments of an effective energy storage and delivery mechanism for such systems, for example, when predominantly powered from an integrated solar energy capturing component such as a solar panel, for continuous operation in dark environmental conditions such as at night and / or on cloudy days.

The invention discloses an intelligent multi-source energy collaborative optimization system. According to the method, the efficiency and the economical efficiency of energy management are remarkably improved through the dynamic decision-making capability of the multi-objective optimization engine. The engine is based on real-time energy data and environment variables, deep prediction and reinforcement learning technologies are combined, accurate distribution and dynamic balance of multi-source energy are achieved, for example, when the electricity price fluctuates or the equipment load suddenly changes, the system can rapidly adjust the proportion of electric energy, heat energy and waste heat recovery, energy waste is reduced, and the operation cost is optimized. And meanwhile, the energy recovery module converts traditional waste energy into available resources, the dependence on external energy is further reduced in cooperation with global scheduling of the cloud service platform, and the comprehensive energy efficiency of the enterprise can be improved by more than 20%. The system supports a multi-scene adaptive strategy, takes into account short-term cost control and long-term equipment health management on the premise of ensuring production continuity, and provides an energy solution with high cost performance for industrial and commercial users.

The invention discloses a ship waste heat utilization system and an energy recovery method, and the method comprises the steps: monitoring and collecting waste heat parameters in real time through a multi-sensor array, processing data fluctuation through a self-adaptive filtering algorithm, and carrying out the quality evaluation in combination with an effective energy model; according to the real-time effective energy value, the fluctuation index and the host load, the waste heat resource allocation priority is dynamically adjusted, and a multi-mode waste heat resource allocation strategy is synchronously formulated based on the output predicted by the extended Kalman filtering algorithm; a full-state prediction model based on an ORC system is constructed, and a prediction-optimization-compensation adaptive control framework is established; a heat charging and discharging sequence is optimized based on model prediction control, and energy loss is minimized; according to the method, performance indexes of the whole waste heat utilization system are monitored, control parameters are optimized by using a reinforcement learning algorithm based on real-time data, the optimized parameters are applied to the system, and closed-loop control is performed. The problem of insufficient waste heat utilization is solved, energy loss is remarkably reduced, and the waste heat utilization efficiency of the system is improved.

The invention discloses an electric power system multi-element energy storage planning method and equipment considering extreme disasters, and belongs to the technical field of electric power system planning. Through uniformly describing the operation characteristics of battery energy storage and hydrogen energy storage, the short-time rapid adjustment capability and the long-time large-scale energy transfer capability are integrated into the same planning framework; compared with an existing method which only depends on a single energy storage mode or independently models different energy storage devices, the method can construct effective energy reserve before a disaster, provide continuous power supply support in the disaster and promote rapid recovery of a power grid after the disaster, so that the bearing capacity and the self-healing capacity of the system under the extreme disaster condition are remarkably enhanced; according to the invention, the energy storage construction cost, the maintenance cost and the operation cost in a disaster scene are integrated into a double-layer stochastic programming framework, so that the energy storage configuration can give consideration to both economy and system reliability, and the maximization of energy storage investment income and the synchronous improvement of power supply reliability in a disaster period are realized.

The invention discloses a GEO and SSO cross-platform satellite high-energy proton data collaborative calibration method based on a solar proton event, and the method comprises the steps: obtaining high-energy proton observation data and space environment disturbance parameter data of GEO and SSO, and carrying out the preprocessing, and obtaining high-energy proton data, satellite space-time position data and environment parameters of a unified flux type; screening high-energy proton data during the event period according to the sun proton event definition to obtain a plurality of event data sets and grouping the event data sets; performing alignment processing on the screened high-energy proton data of the GEO and the SSO; based on the power law spectrum characteristics of the solar proton event, constructing the energy matching relation of each energy channel of GEO and SSO, and determining the effective energy and energy interval of each energy channel of SSO through point-by-point spectrum fitting and statistical inversion; and recalculating the differential flux of the GEO in a corresponding energy channel by using the calibrated effective energy, establishing a point-by-point scatter matrix of the two types of satellite data, and performing linear fitting and correlation analysis to realize calibration.

Energy Management Device and Method for the Descent and Approach Phases of an Aircraft. The present invention proposes a method for establishing an effective energy dissipation strategy for the descent and approach phases of an aircraft, in the form of calculating an optimized descent and approach trajectory. This strategy aims to maximize the maintenance of idle speed while minimizing the use of airbrakes through more efficient decelerations. Figure for the abstract: Fig. 3

The invention discloses a method for predicting net energy of a wheat feed. The method comprises the following steps: preparing a basic feed, optionally selecting a plurality of kinds of wheat from different sources as raw materials to be tested, and respectively preparing test feeds; respectively measuring the approximate nutrient contents of Ti in the basic feed and the test feed, and respectively calculating the effective energy values of the basic feed and the test feed; according to the method, the prediction equation is constructed through the properties of the raw materials, the steps required by net energy prediction are simplified, net energy prediction is carried out based on the measured value, the accuracy is high, preparation of wheat feed is facilitated, a theoretical basis is provided for precise feeding of poultry, precise feeding is achieved, feed waste is reduced, and feed cost is saved; meanwhile, the wheat is used for preparing the feed, so that corn reduction and replacement are also contributed.

The application relates to the field of charge-discharge behavior monitoring, and discloses a photovoltaic energy storage charge-discharge behavior monitoring system and method, which comprises the following steps: continuously collecting energy operation data of an energy storage unit, a photovoltaic power generation side, a grid-connected side and a load side to construct a continuous time sequence energy operation model; in the continuous time sequence energy operation model, based on the change characteristics of the energy storage power direction and the dynamic evolution law of the state of charge, a charge-discharge behavior fragment set is formed; a multi-dimensional behavior correlation network structure of the charge-discharge behavior fragment is constructed, and an energy path mapping relationship is established; an effective energy displacement criterion is introduced, the adjustment contribution degree evaluation of the correlated charge-discharge behavior fragment is performed, and it is determined that the energy storage operation is in an adjustment contribution degree failure state; based on a behavior triggering rule, the adjustment contribution degree failure state is discretized into a structured operation behavior event set, and energy storage operation strategy adjustment prompt information is generated; and the application has the advantages of improving the adjustment accuracy and reducing the energy storage loss.

The invention relates to the technical field of defect detection, and discloses an automatic exposure method and system for an X-ray flaw detector, and the method comprises the steps: firstly obtaining a three-dimensional model of a workpiece, and calculating the equivalent thickness of the workpiece, the source image distance, the normal included angle of the inner wall, the directional attenuation of an X-ray source and other characteristic functions along with the change of a circumferential angle in combination with preset X-ray projection geometry; then obtaining a linear attenuation coefficient of the material under effective energy through energy calibration, and setting a target comparison noise ratio and a defect equivalent thickness at a reference angle to obtain a reference exposure; generating full circumferential target exposure distribution according to the physical function and the material parameters; finally, dispersing exposure distribution into a sector sequence, carrying out exposure measurement under the constraint of equipment and total exposure, calculating an actual contrast noise ratio of each sector, and comparing the actual contrast noise ratio with a threshold value, thereby quantitatively judging whether the workpiece has defects or not, and realizing high-precision and uniform-sensitivity X-ray defect detection on the circumferential weld.

The invention provides an electric vehicle charging station energy management system based on a block chain, and aims to solve the problems of self-adjustment pricing and battery state accurate monitoring in an electric vehicle energy market through a constant function pricing device based on the block chain and a charging state estimator based on an oracle machine. Along with the increase of the number of electric vehicles and charging stations, the condition of low efficiency exists in the aspects of energy supply management and dynamic energy demand response in the prior art. According to the invention, an efficient self-adjusting pricing system and a charging state estimator based on an oracle are realized by using an automatic market manufacturer and block chain oracle technology. The system achieves cost-effective energy regulation and higher state estimation predictability in an electric vehicle system. All transactions and price calculation are automatically executed through an intelligent contract, and transparency and high efficiency of the system are ensured. The implementation of the invention promotes the autonomous development of the electric vehicle system and the transparent management of the energy market.

The invention relates to an electric vehicle sliding feedback consumption control method and system, and the method comprises the steps: triggering a downhill feedback consumption mode when a vehicle is in a downhill road section and the driving state of the vehicle meets a triggering condition; after the downhill feedback consumption mode is triggered, according to the accumulated driving distance of the vehicle on the current downhill road section, the electric devices are started in a grading mode to consume feedback current. The downhill feedback consumption mode is triggered when the vehicle is in the downhill road section and the driving state of the vehicle meets the triggering condition, and the electric devices are dynamically started in a grading manner according to the accumulated driving distance of the current downhill road section so as to consume the feedback current, so that the dynamic regulation and control of the downhill feedback current are realized; according to the invention, the feedback current which may flow back to the power battery originally is converted into effective energy for the working of the electric appliance, and the residual current is continuously consumed, so that the voltage accumulation effect caused by continuous charging in the long downhill process of the battery cell is effectively inhibited, and the technical phenomenon that the battery voltage is abnormally increased due to current overload is avoided.

The invention relates to the technical field of ceramics, in particular to an anti-reduction energy storage ceramic with a high polarization characteristic and a preparation method and application thereof. The general structural formula of the ceramic is PbaLabZrcTidOe + xwt% Sm2O3, wherein a is equal to 0.5 to 1.5, b is equal to 0.01 to 0.1, c is equal to 0.5 to 1.5, d is equal to 0.005 to 0.05, and e is equal to 1.6 to 4.7; 0 lt; xlt; 5; the polarization intensity of the ceramic is larger than 50 mC / cm < 2 >, the effective energy storage density is larger than 12 J / cm < 3 >, the energy storage efficiency is larger than 70%, and synchronous optimization of the reduction resistance, the polarization performance and the energy storage density of the ceramic is achieved.

This invention relates to a wave impedance inversion method, comprising the following steps: Step 1, collecting post-stack seismic data, sonic logging curves, density logging curves, lithology-representing curves, and reservoir interpretation results within the work area; Step 2, calculating wave impedance curves based on sonic logging and density logging curves; Step 3, assigning values ​​to various types of reservoirs to obtain formation identification codes; and reconstructing the wave impedance curves using the formation identification codes to obtain reconstructed wave impedance curves; Step 4, performing intersection analysis using the lithology-representing curves and the reconstructed wave impedance curves; Step 5, performing wave impedance inversion on the post-stack seismic data using the reconstructed wave impedance curves. This invention can directly identify effective energy storage with high accuracy.

The present application relates to the technical field of energy regulation, and in particular to a method, device, equipment and storage medium for comprehensive intelligent energy regulation, wherein the method comprises obtaining production data and establishing a digital twin model based on the production data; obtaining total energy consumption data and effective energy consumption data based on the digital twin model; calculating the current energy utilization efficiency based on the total energy consumption data and the effective energy consumption data; determining whether the current energy utilization efficiency meets a first preset threshold; and obtaining an adjustment strategy based on the current energy utilization efficiency if the current energy utilization efficiency does not meet the first preset threshold. The present application has the effect of being able to automatically monitor energy consumption and perform intelligent processing.

The invention discloses a method for calculating effective energy of explosives in blasting demolition, and relates to the technical field of blasting engineering. The method is used in a blasting demolition project of a reinforced concrete (RC) structure, and comprises the following specific steps: firstly, according to known parameters, based on a Rittinger theory, determining the crushing energy of concrete by calculating the newly increased surface area of a concrete fragment after blasting; secondly, the longitudinal bars are regarded as simply supported beams, and the bending deformation energy of the longitudinal bars is calculated based on the elastic theory and the plastic ultimate bending moment; and finally, defining the sum of the crushing energy of the concrete and the bending deformation energy of the longitudinal bars as effective energy of demolition damage, and calculating the effective energy and the proportion of the effective energy in the total energy of explosive explosion. According to the method, effective energy distribution of the explosive can be accurately quantified, the amount of the explosive can be regulated and controlled, the defect that the amount of the explosive is determined by depending on an experience method and a repeated trial explosion method in the prior art is overcome, and a scientific calculation method is provided for determining the amount of the explosive.

This application provides a power system and energy-saving method. It acquires the vehicle's operating mode, air conditioning status, and current battery level. Based on the air conditioning status, vehicle operating mode, whether the air conditioning is in energy-saving mode, and the vehicle's battery level, it adjusts either the air conditioning energy-saving mode or the vehicle's operating energy-saving mode. This links the power system's energy-saving mode with the air conditioning's energy-saving mode, enabling interaction between the two modes. This allows the previously simple energy-saving design to achieve more effective energy savings and improve driving range through complex calibration.

The invention provides a multi-granularity energy consumption characteristic parameter decoupling method and system based on data driving, and the method comprises the steps: providing an energy consumption prediction model based on a deep neural network, taking multi-dimensional data in an actual operation period as the input of the energy consumption prediction model, and outputting energy flows of different industrial loads; an energy decoupling rule is defined, energy flows of different industrial loads are processed layer by layer based on the energy decoupling rule, a total cost minimization constraint is set, value functions of the different industrial loads are calculated through the total cost minimization constraint, and a control sequence is obtained by distributing loads among different energy sources; based on value functions of different industrial loads, establishing a global energy management function, defining control variables, and bringing system energy consumption and cost into an optimization function; and establishing an energy efficiency calculation model, quantifying the energy efficiency of each link, and realizing multi-granularity energy consumption characteristic parameter decoupling. According to the invention, the operation condition of the whole system can be accurately predicted, and real-time and effective energy distribution is realized.

The invention discloses a post-earthquake damage state identification method, device and system, and a storage medium. The method comprises the following steps: step 1, obtaining a nonlinear effective energy dissipation factor of a pier; 2, replacing the maximum displacement with residual displacement to serve as a deformation damage item, and redefining an energy damage item by introducing a nonlinear effective energy dissipation factor to obtain a post-earthquake damage evaluation model; 3, fitting key parameters of the post-earthquake damage evaluation model; and 4, verifying the post-earthquake damage evaluation model after parameter fitting by adopting quasi-static test data. By adopting the technical scheme of the invention, the damage state of the pier can be quickly, quantitatively and accurately identified.

The application discloses a sewage treatment plant artificial intelligence application management and control method and system based on a multi-modal model, and relates to the technical field of sewage treatment automation control.The application collects water quality, a process, water quality and energy consumption data of a sewage treatment plant systematically, and combines a dynamic relationship of mechanism variables in an ASM model to construct a cross-modal graph and perform feature fusion, so that operation parameters and mechanism variables can be accurately aligned and nonlinear dependence relationships can be described, thereby enabling high-precision prediction of key operation parameters and water quality indexes in a future period on the basis of a fusion graph, and providing an optimization calculation basis for control strategies such as an aeration amount, a reflux ratio, a reagent dosage and a residual sludge discharge amount, so that a sewage treatment plant can realize multi-objective collaborative optimization, stable water quality, intelligent process control and effective energy consumption reduction, and overall operation efficiency and environmental governance level are significantly improved.

The invention discloses a data transmission method and system for improving dual-mode communication efficiency, and relates to the technical field of data transmission, and the method comprises the steps: under a current communication window before a magnetic induction communication link executes wireless carrier communication, calculating a corresponding current increment under the current communication window, calculating the corresponding current increment of the magnetic induction communication link under the dry baseline window; calculating an effective energy ratio based on the current increment corresponding to the current communication window and the current increment corresponding to the dry baseline window; based on the data length and the effective energy ratio of the data block of the upper layer service of the wireless carrier communication system, the total number of distributed sub-blocks of the magnetic induction communication link and the ultra-wideband link is calculated respectively, and a sub-block loading list is generated according to the total number of distributed sub-blocks of the magnetic induction communication link and the ultra-wideband link. According to the invention, the data distribution flexibility and the link scheduling adaptive capability of the dual-mode communication system in the extreme environment are improved.

This invention discloses a self-powered cable parasitic robot and its working method based on electrochemical volume effect, belonging to the field of robot technology. By integrating an electrochemical driving structure with a flexible inductive energy harvesting structure, the electrochemical driving structure enables posture transformation of bending and hugging or straightening and detaching from the cable, and creates effective energy harvesting conditions for the flexible inductive energy harvesting structure. At the same time, the energy management module realizes the storage of induced electrical energy and precise control of the charging and discharging process of the electrochemical driving structure. The robot autonomously harvests energy from the alternating magnetic field around the cable without the need for an external battery.

The application discloses a kind of gas-liquid mixed delivery system and method based on pressure boosting and yield increasing efficiency optimization, belong to oil and gas exploitation delivery technical field.System includes first, second pressure tank, gathering pipeline liquid inlet pipe, liquid outlet pipe, first, second circulating pump and series pipeline;Circulating pump is connected between two pressure tanks.Liquid inlet pipe is equipped with effective energy measurement unit, at least including liquid inlet pressure sensor.Intelligent optimization control system receives liquid inlet pressure data, calculates wellhead real-time pressure drop value, and compares with preset target pressure drop range;According to the comparison result, adjust, make pressure drop value keep in target range.The method is based on the above system, by circulating pump alternate work drive multiphase flow delivery, and real-time optimization control parameter in operation.The application will efficiency measurement front and control closed loop coupling, realize with yield increasing as target active optimization control, solve the problem that cannot be associated with wellhead production efficiency optimization in delivery process, significantly improve oil and gas well production and recovery.

The application relates to the technical field of intelligent manufacturing, in particular to an electrical manufacturing execution management system based on cloud computing, which comprises a scheduling optimization module, an energy management module, a device health and state monitoring module and a production efficiency improvement module.In the application, the electrical production task progress, the device usage, the process parameters and the energy consumption data are captured to realize accurate scheduling of production resources, and then the operation mode, time and speed of the device are regulated, so that the resource allocation is more flexible, the energy consumption data is analyzed based on cloud computing, the energy use mode and the device load are optimized, effective energy distribution is realized, the energy efficiency is improved, the device fault can be predicted in advance by combining the device health evaluation model, the maintenance cycle is adjusted according to the device state, the production interruption caused by the device shutdown is avoided, the production scheduling is deeply analyzed, then the production sequence and the resource allocation are adjusted, the production efficiency is improved, and the production line reaches a higher level in stability and flexibility.

The invention discloses a digital control method for a split-phase voltage-regulating voltage stabilizer based on silicon controlled gear switching, and relates to the technical field of voltage-regulating voltage stabilizer control. The method comprises the following steps: executing closed-loop control in each power supply cycle in a gear switching transition period: pre-judging a circulation increment according to initial trigger angles of a new gear and an old gear, and comparing the circulation increment with a safety threshold; if the threshold is exceeded, calculating a critical overlapping starting angle, segmenting an overlapping conduction interval by taking the critical overlapping starting angle as an anchor point, calculating a residual ratio, and selecting a segmentation correction strategy to correct the initial trigger angle; calculating an effective energy transmission proportion reflecting an actual transition progress based on the corrected trigger angle, and adaptively generating a target weight of a next power cycle based on the effective energy transmission proportion; monotonicity and saturation constraints are applied to the target weight to obtain an execution weight, the execution weight is mapped into an initial trigger angle of a next power supply cycle, and a cycle-by-cycle closed loop is formed; and when the execution weight reaches a final value, executing steady state locking to complete switching. The circulating current is safe and controllable, and the transition process is smooth and free of impact.

The invention relates to a vehicle control method and device, a vehicle and a storage medium, and the method comprises the steps that current multi-source sensor data of the vehicle are obtained, and the current multi-source sensor data are obtained by a plurality of sensors matched with the current working state of the vehicle; calculating a threat value of an external environment of the vehicle based on the current multi-source sensor data; matching a corresponding vehicle window control action based on the threat value, and determining a target working state of the vehicle in combination with the current multi-source sensor data, the threat value, the vehicle window control action and a preset event triggering condition; and generating a corresponding sensor power consumption adjustment strategy based on the target working state to switch the current working state to the target working state, and adjusting the working state of each sensor based on the sensor power consumption adjustment strategy. Therefore, the technical problems that in the related technology, the rainfall judgment dimension is single, the vehicle state is not distinguished, the control action of the vehicle does not meet the actual requirement, an effective energy consumption control scheme is not formed, and resource waste is caused are solved.