406 results about "Energy regulation" patented technology

The present disclosure relates to the technical field of intelligent monitoring and management of power systems, and specifically relates to an intelligent collaborative power consumption regulation and control method, apparatus and system for source-grid-load-storage, an electronic device and a storage medium. Said system comprises an energy regulation and control center and energy regulation and control units provided in microgrids; the energy regulation and control units use a temporal attention mechanism-based LRCN dual-layer network combined model to predict power consumption amounts, so as to generate power consumption surpluses and shortages within a future preset time; and on the basis of the power consumption surpluses and shortages and latest current electricity prices of the microgrids, the energy regulation and control center uses a fusion multi-objective algorithm based on a Pareto front curve and a fuzzy algorithm to generate a microgrid collaborative power consumption regulation and control solution, and sends the regulation and control solution to the energy regulation and control units for execution, so as to ensure the balance of energy supply and demand of the microgrids. Therefore, the present disclosure achieves efficient, intelligent and refined energy management for microgrid clusters, reducing energy consumption and costs, and providing solid support for sustainable development of microgrids.

The invention relates to the technical field of medical equipment, in particular to an ultrasonic soft tissue operation accessory intelligent recognition and energy regulation and control system and method.The ultrasonic soft tissue operation accessory intelligent recognition and energy regulation and control system comprises an intelligent recognition module used for recognizing the type, specification and real-time use state of an operation accessory to serve as an output result; the energy regulation and control module is connected with the intelligent identification module and dynamically adjusts the output parameters of the ultrasonic energy according to the output result of the intelligent identification module; and the man-machine interaction module is respectively connected with the intelligent identification module and the energy regulation and control module and is used for displaying the identification result, the energy parameters and the early warning information. According to the result of the intelligent recognition module, dynamic adjustment of ultrasonic energy output parameters is achieved through the energy regulation and control module, and smooth operation is ensured; when it is detected that the accessory temperature exceeds the preset threshold value or the impedance abnormally and suddenly rises, energy supply is rapidly cut off, the surgical risk caused by energy abnormity is effectively prevented, and the safety of a patient is guaranteed.

The invention discloses an energy regulation and control method for a digital intelligent low-carbon building, and relates to the technical field of energy intelligent control, and the method comprises the following steps: constructing a multi-source feed-forward sensing link, unifying data collection timestamps, fusing people counting data, access control record data and wireless local area network probe data, and obtaining a multi-source feedback sensing link; passenger flow step fingerprints capable of reflecting instantaneous passenger flow change characteristics are generated and used for feedforward input of follow-up dynamic response; and performing crowded wave dynamic tracking based on passenger flow step fingerprints, analyzing a crowd movement track in combination with feedforward input, positioning a high-concentration air quality risk area, outputting a risk arrival time and intensity curve, and generating a feedforward ventilation time history input prediction link. According to the method, people flow changes are sensed and predicted through multi-source feedforward, a ventilation strategy is actively deployed, self-optimization is achieved in combination with feedback correction and closed-loop evaluation, and energy consumption is reduced and the service life of equipment is prolonged while air health and safety are guaranteed.

The invention relates to the technical field of intelligent charging and discharging adjustment, in particular to an intelligent charging and discharging adjustment method and system for an energy storage device based on multiple regions, and the method comprises the following steps: based on the data of energy users in each region, analyzing the power trend of a time period, recognizing and marking abnormal nodes, judging the deviation of a load trend in combination with monitoring and early warning, and optimizing an adjustment sequence; and dynamically balancing capacity distribution, and generating a charging and discharging instruction. According to the invention, real-time data fusion is carried out based on periodic factors and holiday correction, so that abnormal fluctuation and energy consumption trend change in each time period have dynamic identification capability, and advanced identification and linkage of load abnormal omen are realized through trend monitoring and early warning feature construction for load differences among nodes. The energy support distribution is ranked according to the energy storage state and the output capacity, fine matching of task objects and instruction schemes is promoted, the participation sequence of the energy storage units and an energy release window are dynamically optimized, and regional energy adjustment action collaboration is achieved.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention discloses a smart community new energy grid management and analysis system, and belongs to the technical field of smart power grid and energy management, and the system comprises a data collection module which is used for collecting photovoltaic power generation, energy storage equipment and user power utilization data in real time; the dynamic modeling module is used for dynamically generating a multi-level energy grid division scheme according to the collected data; the optimization decision module is used for outputting energy regulation and control parameters according to the grid division scheme; and the iterative feedback module is used for monitoring the regulation and control effect and triggering online updating of the model parameters. According to the method, a dynamic grid topology adaptive division mechanism, a multi-source adaptive collaborative optimization algorithm and a pre-verification type network splitting simulation technology are adopted, so that real-time dynamic reconstruction, multi-target joint optimization and millisecond-level security risk prevention and control of a community energy network can be realized; the problems of high transmission loss, response delay, equipment service life reduction and the like caused by traditional static division are effectively solved.

The invention discloses a linkage control system and method for cold energy storage and release in an energy storage low-temperature interval, belongs to the technical field of energy storage system temperature control, and aims to solve the problems that traditional energy storage cold energy regulation is lagged, cold energy waste is serious, and dynamic changes of working conditions are difficult to adapt. According to the system and method, cold release judgment is triggered based on the environment temperature and the temperature of an energy storage module, a cold release interval is defined by predicting the environment temperature and the temperature of the energy storage module in a fitting mode, a temperature prediction curve is dynamically corrected in combination with real-time working conditions, cold release subintervals are divided, and a cold release control instruction is generated; and meanwhile, the temperature of the energy storage module is monitored in real time to correct the cooling capacity release control instruction, and a cooling capacity recovery instruction is generated by monitoring the temperature of the cooling liquid. Accurate steady-state control over the temperature of the energy storage module and efficient circulation of the cooling capacity are achieved, and the operation economical efficiency and safety of the energy storage system are remarkably improved.

The invention discloses a self-stabilization system of an exterior wall robot, and relates to the technical field of engineering construction robots, and the self-stabilization system comprises a phase reference module, a frequency spectrum coupling module, a playback prediction module, a gap evolution module, a feedforward compensation module and an energy regulation and control module, constructing a millisecond-level phase comb index based on the wind vibration phase reference field, and locking a zero-phase anchor point in the phase comb index to form an initial constraint condition of attitude perception; according to the method, the closed-loop control of the outer wall robot from disturbance sensing to fine control is realized by constructing a six-stage self-stabilization process. The system introduces millisecond-level phase anchor point locking, cross-frequency information fusion, disturbance trend prediction, adhesion gap dynamic mapping, multi-channel compensation control and energy reverse regulation and control mechanisms, and can significantly improve the operation stability, adaptability and safety in a high-rise complex outer wall environment without depending on a mechanical redundant structure.

The invention discloses a multifunctional broadband metamaterial structure with a polarization independent characteristic and a control method. The structure has a switchable tri-state function and a complete polarization operation capability irrelevant to polarization. By introducing the guide circuit design, three different electromagnetic energy regulation and control modes of second-order filtering, broadband absorption and multi-reflection shielding are efficiently integrated in the same structure, the real broadband performance in the band is realized, and meanwhile, the higher reflection efficiency outside the band is kept. Different from a traditional method which depends on a broadband lossless reflecting layer to expand the transmission bandwidth of an absorption structure, the three arrays are considered as an integral operating system, support three-state switching operation and have real broadband and efficient behaviors.

The invention relates to the technical field of photovoltaic energy regulation and control, in particular to a photovoltaic energy supply method and system driven by load sensing of a bridge structure. The method comprises the following steps: acquiring load response data through sensors arranged at key parts of a bridge; carrying out load sensing feature extraction according to the load response data to obtain load sensing feature data; performing load energy regulation and control mapping on the load sensing characteristic data to obtain photovoltaic regulation and control data; acquiring historical traffic flow data, and performing digital twinborn body construction according to the historical traffic flow data and a preset bridge-vehicle coupling model to obtain bridge-vehicle twinborn body data; and performing energy regulation and control response according to the photovoltaic regulation and control data and the bridge vehicle twinborn body data to obtain photovoltaic regulation and control response data. According to the invention, response control is carried out by combining twinborn body data and photovoltaic regulation and control data, so that the timeliness and execution precision of energy allocation are effectively improved, and the operation safety of a bridge structure and the utilization efficiency of renewable energy sources are enhanced.

The invention provides an ion beam energy adaptive regulation and control method and system for FIB equipment, and the method comprises the steps: obtaining an energy distribution parameter of an ion beam in a focusing region, and determining a target energy adjustment range according to the energy distribution parameter and a preset ion beam energy reference model, generating a multi-stage energy adjustment instruction based on the target energy adjustment range, controlling an output parameter of an ion beam energy adjuster through the multi-stage energy adjustment instruction, enabling the current energy distribution of the ion beam to enter the target energy adjustment range, and detecting the energy fluctuation data of the adjusted ion beam on the surface of the sample in real time, and according to the energy fluctuation data and a preset adaptive compensation algorithm, adjusting feedback control parameters of the ion beam energy regulator, so that the energy distribution of the ion beam is maintained within the target energy regulation range. By means of the method, better machining surface quality and process consistency of industrial machining can be achieved.

The invention discloses an aggregation regulation and control method and system for multiple virtual power plants, and relates to the technical field of intelligent power grid regulation and control, and the method comprises the steps: enabling a trust anchor to synchronize a link health abstract and preset a safe operation envelope and an autonomous rule when the communication is normal; after link disconnection is detected, an autonomous mode is immediately switched to generate power setting; during the autonomous period, recording power deviation and events and generating a hash track; after the link is recovered, two-way identity verification is completed through quantum key handshake, then a fingerprint set and sparse differences are uploaded, and latest global constraints are received; an aggregation composer reconstructs a system model based on a constraint relaxation matrix and a compensation weight vector, generates an optimized power instruction, smoothly replaces an autonomous instruction with a slip coefficient, recursively allocates spare capacity, and finally realizes the transition from autonomous smooth transition to unified scheduling of each virtual power plant; the method gives consideration to toughness, integrity, fairness and safety, and significantly and integrally improves the distributed energy regulation and control reliability and recovery efficiency.

The invention belongs to the technical field of physical thermal ablation, and relates to a physical thermal ablation energy regulation and control method based on intelligent feedback, and the method comprises the steps: collecting point-shaped temperature data, impedance data and ultrasonic data, eliminating the asynchronization and heterogeneity problems through space-time alignment, and combining with focus region segmentation, thereby achieving the energy regulation and control of the physical thermal ablation. Discrete data and continuous images are integrated into a voxelization data cube containing space coordinates, physical attributes and semantic tags, then the temperature change rate and the impedance change rate are calculated based on the voxelization data cube, and then a morphological prediction network is fused with multi-modal features to output a voxel-level ablation probability graph. The method comprises the following steps: realizing prospective prediction of an ablation range, ensuring ablation accuracy by morphological deviation through a three-layer parallel regulation and control strategy, preventing and controlling local overheating by temperature gradient, avoiding tissue carbonization by an impedance change rate, and cooperatively deciding through multi-dimensional indexes to solve the contradiction that single regulation and control cannot give consideration to accurate coverage of a focus and protection of normal tissues; and misjudgment caused by abnormity of single data is avoided.

The invention relates to the technical field of medical instruments, in particular to an electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device and method.The electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device comprises a device body, a bed body is installed on one side of the device body through a supporting frame, and a lithotripsy notch is formed in the side, close to the device body, of the bed body; a large C-shaped arm and a small C-shaped arm installed on the inner side of the large C-shaped arm are installed at the position of the notch of the device body, an X camera imager is installed at the upper end of the large C-shaped arm, and a shock wave generator and an ultrasonic probe installed on one side of the shock wave generator are installed on the small C-shaped arm. An energy adjusting module used for controlling the shock wave generator and a safety detection module used for detecting the skin temperature are arranged in the device body, and a displayer and a human-computer interaction interface are arranged on one side of the device body. The technical scheme in the prior art has limitations on shock wave generation, positioning precision, energy regulation and control and treatment strategies.

The invention discloses a galvanometer scanning-based curved surface self-adaptive dynamic light spot laser quenching method, which has the following beneficial effects: (1) dynamic regulation and control of a light spot energy field: a traditional uniform light spot is reconstructed into a self-defined light spot with an adjustable energy gradient according to a curvature value of a workpiece, so that the energy of each section of the light spot is dynamically distributed according to the curvature; and the energy density deviation caused by geometric deformation is compensated. And (2) scanning-energy cooperative control: through coupling optimization of a light spot form and a scanning path, galvanometer high-frequency galvanometer micro-swing scanning and laser output energy adjustment are adopted in a curvature sudden change area, so that accurate regulation and control of heat input are realized, a heat accumulation effect is inhibited, and depth uniformity (fluctuation is less than or equal to 10%) of a hardening layer is ensured. And (3) online feedback and closed-loop correction: an infrared thermal imager and a surface topography sensor are integrated, a quenching point temperature field and a hardened layer topography are monitored in real time, a light spot energy ratio and a scanning strategy are dynamically corrected through an AI algorithm, and the dynamic characteristics of material phase change in the machining process are adapted.

A frequency selection surface manufacturing method based on femtosecond laser induced graphene belongs to the technical field of frequency selection surface manufacturing and comprises the following steps: (1) graphene patterning: forming a graphene periodic micro-nano structure on the surface of a flexible substrate through induction by femtosecond laser; (2) a frequency selection unit structure design step: a nested resonance structure is obtained by layering and stacking graphene resonance units with different geometrical shapes, and selective transmission or reflection of multi-band electromagnetic waves is realized; the graphene resonance unit is the graphene periodic micro-nano structure; and (3) a large-area manufacturing step: processing a frequency selection surface with the area larger than 10cm < 2 > by adopting femtosecond laser dynamic scanning and energy regulation and control technologies. According to the invention, the local structure modification of the graphene is induced by femtosecond laser, and the metasurface design is combined, so that the large-area and multi-band frequency selection characteristic is realized.

The invention provides a self-sustaining thermal management system for extremely cold energy storage equipment and a regulation and control method, and relates to the technical field of thermal management, and the system comprises a multi-parameter sensing module which is used for deploying a high-precision sensor network and carrying out the real-time collection of key parameters; the waste heat recovery and energy management module is used for collecting waste heat generated in the equipment operation process and converting the waste heat into available heat energy through a heat exchange technology; the decision and control module is used for intelligently judging and issuing a regulation and control instruction according to real-time monitoring data and a preset strategy, coordinating all the modules to work cooperatively, realizing efficient energy management of the energy storage unit through accurate temperature prediction and multi-target optimization, and realizing energy management of the energy storage unit through dynamic regulation of the strategy. The response speed and the energy utilization efficiency of the system are improved, stable operation under different extremely cold working conditions is ensured, the service life of equipment is prolonged, and intelligent and efficient energy regulation and control are achieved.

The application provides a weather load-based air conditioner energy control method and device and a storage medium, wherein the method comprises the following steps: saving PLC bottom layer instrument data, indoor temperature sensor data and public data to a cloud platform server; processing the above data, calculating first index data in units of predetermined working time, calculating an optimized load amount according to the first index data; selecting a date closest to a predicted load day comprehensive temperature T in historical operation data as a reference day, taking the load of the reference day as a reference day load; and adjusting air conditioner energy according to the optimized load amount through two preset optimization conditions and the reference day load. The application predicts future load change rules by mining the corresponding relationship among climate, indoor temperature and load change rules through historical data, so as to realize the purpose of precise energy supply and effectively avoid energy waste.

The invention relates to a regulation and control method and device of an energy system, electronic equipment and a storage medium, and is applied to the technical field of computers, the method comprises the steps that multi-source heterogeneous data of the energy system is acquired, and the multi-source heterogeneous data comprises data influencing energy regulation and control in multiple data sources; performing feature fusion on the multi-source heterogeneous data to obtain a high-order feature vector; predicting the power consumption behavior of the user based on the high-order feature vector to obtain a prediction result; based on the multi-source heterogeneous data and the prediction result, determining a regulation and control planning strategy of the energy system; and regulating and controlling the power equipment of the energy system based on the prediction result and the regulation and control planning strategy.

The invention discloses a foundation pit supporting real-time prediction and inversion control system based on a dynamic DEM, and relates to the technical field of foundation pit supporting. Comprising a DEM data acquisition and preprocessing module used for acquiring foundation pit support monitoring data in real time and performing data preprocessing; the stress chain propagation identification and micro-damage evaluation module is used for analyzing dynamic response correlation characteristics between monitoring points, constructing an effective monitoring point pair set, evaluating micro-damage propagation intensity and predicting a stress chain propagation path and a damage trend; the dynamic stability inversion and regulation and control module is used for analyzing monitoring response and coupling characteristic changes, evaluating the dynamic stability level of the foundation pit supporting system and updating inversion parameters; and the self-learning and closed-loop control module is used for evaluating the coordination relationship between the energy adjustment amplitude and the stability deviation degree, judging a control response state and executing a corresponding strategy so as to realize closed-loop control. The problem that stress chain instability propagation in the foundation pit supporting process is difficult to identify in real time and dynamically evaluate is solved.

The invention discloses an underground mine goaf filling body strengthening and subsequent mining joining method, and relates to the technical field of mine mining. Comprising the following steps of intelligent filling body construction and reinforcement, multi-source fusion intelligent monitoring and digital twinning construction, data-driven subsequent mining dynamic intelligent decision making and energy regulation and control, targeted restoration and collaborative ecological reconstruction. The intelligent filling body is made of the shape memory polymer fibers and the nanometer piezoelectric ceramic particles, the layering process is combined to improve the strength and real-time state feedback, the safety and durability of the filling body are remarkably improved, the high-fidelity digital twinborn model is constructed in a fused mode, intelligent decision making and active wave absorbing regulation are linked, and the stability of the filling body is improved. The subsequent mining efficiency can be effectively improved, the damage risk of the filling body can be effectively reduced, in addition, the damage area is accurately positioned through the unmanned aerial vehicle, directional grouting repair is conducted, heavy metal is solidified through microorganisms, solid waste is recycled, the resource utilization rate in the mining process is increased, and the environmental burden is reduced.

An AI-based platform for enabling intelligent orchestration and management of at least one operating process is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a prediction of an energy pattern associated with the at least one operating process. The AI-based platform is also configured to manage the at least one operating process based on the prediction of the energy pattern.

The invention discloses an island micro-grid frequency coordination control method based on flywheel and battery hybrid energy storage, and provides a hybrid energy storage coordination control method for solving the problem that a diesel generator in an island micro-grid is low in inherent response speed and difficult to deal with rapid load disturbance in time. The method combines the advantages of a flywheel energy storage system (FESS) and a battery energy storage system (BESS) to construct a multi-time-scale frequency regulation mechanism: the FESS is responsible for absorbing or releasing a high-frequency power component and quickly responding to instantaneous fluctuation; the BESS bears an intermediate-frequency power component and realizes medium-term energy regulation; and the diesel generator compensates the low-frequency power component and maintains long-term steady-state operation. Through the multi-unit collaborative hierarchical control, the frequency stability and the operation reliability of the island micro-grid are remarkably improved, the dynamic regulation pressure of the diesel engine is reduced, and the frequent charge-discharge cycle of the battery is reduced, so that the service life of the energy storage system is prolonged.

The invention discloses an energy output power adjusting method based on artificial intelligence and big data. The method comprises the following steps of collecting environment data and personnel flow information in a space in real time; generating a people flow model through big data analysis and a machine learning algorithm; the operation state and the output power of the energy equipment are automatically adjusted according to the people flow model and the environment data, and precise environment control and energy saving are achieved. According to the invention, environment data is collected in real time through the data acquisition module, and an optimal energy adjustment strategy is generated by using big data analysis and a machine learning algorithm. The system has self-learning and self-adaptive capabilities, and can automatically optimize an adjustment strategy according to environmental changes and user habits, so that energy consumption is remarkably reduced, and user experience is improved.

The invention discloses a traction stretching motion state monitoring method based on signal processing, and relates to the technical field of signal processing, and the method comprises the following steps: collecting traction force, electrocardio, displacement and conductivity signals, carrying out normalization and filtering processing, extracting phase and amplitude components, and constructing a signal spectrum containing track change and time sequence characteristics; establishing a structure response mapping relation to generate a self-evolution feature map, and aligning the self-evolution feature map with the amplitude component to form a channel-level feature matrix and a multi-channel feature representation map; structural path perception convolution mapping is adopted, a path dissipation factor is introduced to extract deep features, direction enhancement is achieved in combination with an energy constraint factor and a scheduling matrix, and an energy adjustment feature map is obtained; finally, the features are spliced according to time steps to form a high-resolution sequence, signal optimization is achieved through iterative training, and the state recognition accuracy and stability are improved.

The invention relates to the technical field of refrigeration air conditioners and automatic control, in particular to a fixed frequency compressor group control energy regulation system based on outdoor temperature and humidity coupling, which comprises a data acquisition unit, a reheating demand judgment unit and an anti-icing protection control unit, a data acquisition unit acquires outdoor temperature and humidity coupling data and return air temperature data of all compressors through an outdoor temperature and humidity sensor and a return air temperature sensor, and a reheating demand judgment unit implements temperature feedforward control based on outdoor temperature and humidity and sets an adjustable limit level to constrain the input proportion of the compressors. When the compressors are fully input and the humidity exceeds the standard, the moisture content of indoor, target and outdoor air is calculated, the reheating requirement is judged by combining the transient temperature when the integral speed of the cooling and dehumidification PID controller and the adjustable limiting level and the floating gear are adjusted according to the moisture content, and the anti-icing protection control unit periodically monitors the return air temperature and takes measures. The problems that temperature and humidity control of a traditional system is not coordinated, and anti-icing protection is not accurate are solved.

The invention relates to a power distribution network energy balance regulation and control method integrated with a protection self-healing function, which belongs to the technical field of micro-grid energy regulation and control, and comprises the following steps: step 1, monitoring and obtaining dynamic operation data in real time; 2, identifying an abnormal state and a fault type of the power grid through a multi-time scale collaborative analysis algorithm, and generating a protection strategy of the power grid; 3, constructing a virtual impedance compensation model by using the quick response characteristic of the distributed energy, and dynamically adjusting the equivalent impedance of the fault region through the virtual impedance compensation model; 4, through rapid power adjustment of distributed energy and dynamic switching of flexible loads, a dynamic power flow optimization algorithm is adopted, and energy collaborative self-healing balance of the fault area and the non-fault area is achieved; 5, evaluating the effectiveness of the energy collaborative self-healing balance strategy, optimizing regulation and control parameters, and generating an optimal recovery strategy; the method has the beneficial effect that the energy collaborative self-healing balance of the fault area and the non-fault area is realized.

The invention discloses a T0PSIS-HDT-based small and medium-sized hydropower station energy regulation capability evaluation method, and relates to the technical field of small and medium-sized hydropower station comprehensive evaluation, and the method comprises the following steps: carrying out the hierarchical relation analysis of an evaluation index and an evaluation object through employing a Hass diagram technology according to the index data used for representing the energy regulation characteristics of a small and medium-sized hydropower station; according to an analysis result, an improved TOPSIS method is adopted to calculate comprehensive evaluation scores of all the hydropower stations and sort the comprehensive evaluation scores; and evaluating the energy regulation capability of the medium and small hydropower stations according to a sorting result. According to the method, by identifying the performance of the optimal / better hydropower station in the aspects of peak regulation, frequency modulation or ecological flow, a reliable basis is provided for intelligent scheduling of the power system, meanwhile, ecological requirements and economic efficiency are considered, and a foundation is laid for further expansion and application of renewable energy sources in the novel power system.

The invention discloses a modified plastic processing temperature adaptive control method, and relates to the technical field of high polymer material processing control, and the method comprises the following steps: collecting the same frequency mapping of power grid disturbance and melt temperature response, capturing the transient power fluctuation of a heating unit with millisecond-level time precision by adopting a phase comb sampling technology, and constructing a power pulse fingerprint database; a parameter space for discriminating a pseudo-steady state is established based on a power pulse fingerprint database, a short-time power pulse signal and a stable signal are classified by using a phase lag and entropy increase dual-threshold method, and a pseudo-steady state confidence index is generated. According to the method, the power pulsation fingerprint database and the electrothermal coupling model are constructed, pseudo-steady-state temperature control abnormity is accurately recognized, reverse energy regulation and control are achieved in combination with a sensitivity track and a thermal write-back mechanism, the melt temperature stability is improved, the product warping rate is effectively reduced, and the size consistency and the mechanical property are remarkably optimized.

The invention discloses a flexible resource coupling optimization scheduling method and system for an inland river harbor district, and the method comprises the steps: collecting multi-source heterogeneous harbor district total-factor real-time data based on a data access module, and carrying out the recognition and analysis of the harbor district total-factor real-time data through a virtual power plant model; the coupling optimization scheduling scheme is converted into an equipment control instruction, an energy adjustment instruction and manual operation guidance, and panoramic picture visualization information and a scheduling scheme are displayed based on a human-computer interaction interface; according to the method, the dynamic resource tagging technology is adopted to intelligently classify the scattered resources in the harbor district, and the scattered resources are dynamically aggregated into the virtual power plant, so that full fusion of multi-dimensional ship-harbor-vehicle-cargo-energy total element resources can be realized, and real-time and accurate data support is provided for resource scheduling; flexible resource coupling optimization scheduling of the inland river harbor area is realized, an intelligent scheduling strategy is rapidly triggered when random interference is coped, and the dynamic response capability of the system is improved.