99 results about "Energy balance" patented technology

The invention relates to an industrial park-based comprehensive energy flow direction on-line monitoring system and method, and the system comprises an energy modeling module which is used for representing instrument information, carrying out the modeling of collection labels and collection frequencies of different types of instruments, constructing nodes of different energy layered structures, carrying out the modeling of a directed flow direction relation between the nodes, and carrying out the modeling of the directed flow direction relation between the nodes; binding the logic relationship between the node and the instrument; the data acquisition module is used for performing data acquisition through an instrument, performing edge processing and encrypted transmission through communication equipment, and storing the data in a database; the energy monitoring module is used for monitoring and counting the state of the instrument and monitoring the energy flow direction of the enterprise in real time according to the directed flow direction of the node; and the statistical analysis module is used for providing energy balance analysis for different links of the enterprise energy in the conversion and use process according to the nodes, evaluating the energy consumption loss degrees of the different links, visualizing the nodes with abnormal loss and giving an alarm. Through the real-time and accurate calculation of the energy loss among the nodes at all levels, the backtracking of the nodes with abnormal loss and the timely pushing of the alarm information, the enterprise can timely discover the problems occurring in the energy supply, and can quickly find out the corresponding solution, reduce the energy consumption loss and guarantee the robustness of the energy flow network.

The embodiment of the invention provides a thermal power plant waste heat gradient utilization management method and system, belongs to the field of energy and power engineering, and aims at solving the problems that in the prior art, waste heat gradient matching is unreasonable, the low-temperature waste heat recovery efficiency is low, and the system integration degree is insufficient. The method comprises the following steps: constructing a multi-physics field coupling digital twinborn model and performing real-time correction; establishing a dynamic matching matrix of the residual heat source and the heat consumption load based on balance analysis; solving a Pareto optimal operation scheme through a multi-objective optimization model; and generating and issuing a cooperative control instruction. The system comprises a panoramic data sensing module, a digital twin modeling module, a balance and optimization decision module and a cooperative control instruction generation module. Through global optimization and dynamic regulation and control, the waste heat utilization efficiency, the economical efficiency and the equipment reliability are remarkably improved.

The invention relates to an anti-reflux control method based on time interval distribution. The method comprises the following steps: acquiring a multi-source fused operation data set; obtaining a trend prediction result set according to the operation data set; according to the trend prediction result set, dividing the prediction time window into a plurality of continuous control time periods, and based on the power generation prediction value, the load prediction value and the uncertainty index of each time period, calculating a corresponding time period countercurrent risk level, and generating a time period risk assessment result; obtaining a time period budget allocation table according to a time period risk assessment result; according to the time period budget distribution table, performing time-division power adjustment on the photovoltaic inverter, the energy storage unit and the controllable load, and realizing smooth transition between adjacent time periods through a cross-time period energy balance mechanism; and monitoring the grid-connected point power and the equipment operation state in real time, and when power deviation or load sudden change is detected, dynamically correcting the current output according to the residual capacity of the time period budget allocation table. According to the invention, the photovoltaic anti-reflux control effect can be improved.

The invention provides a multi-microgrid energy collaborative optimization method and system. The method comprises the following steps: S1, establishing an energy collaborative network topology structure comprising a plurality of microgrid nodes; s2, constructing an energy balance model based on the real-time power demand, the new energy output prediction and the power grid dispatching instruction; s3, taking the minimization of the total operation cost of the multi-microgrid system as a target to form an optimization function; s4, an improved whale optimization algorithm is adopted to solve the optimization function, and an energy scheduling scheme of each microgrid in each time period is obtained; s5, regulating and controlling an energy storage device, a charging pile and an adjustable load in each micro-grid according to the energy scheduling scheme, and coordinating the energy flow direction and the transmission power between the micro-grids; and S6, monitoring the actual operation state and the energy interaction effect of each micro-grid, and when it is detected that the predicted deviation exceeds a preset threshold value, re-executing the steps S2 to S5 based on the real-time data. According to the invention, energy collaboration among multiple microgrids can be realized, the new energy consumption capability is improved, the operation cost is reduced, and the economy and stability of power grid operation are enhanced.

The invention discloses an electric power system resource scheduling method and device, and belongs to the technical field of electric power systems, and the method comprises the steps: obtaining the resource data of an electric power system when the natural climbing amount of the electric power system is not greater than the climbing demand of the electric power system, and taking the minimization of the total operation cost of the electric power system and the maximization of the climbing service demand response as targets; constructing an objective function, a system power balance constraint, a transmission capacity constraint, an energy storage charging and discharging constraint, an energy storage energy balance constraint, a climbing ability constraint and a climbing service demand constraint; and solving the target function under each constraint to obtain the output of each thermal power generating unit and each energy storage system in each scheduling period and the up-climbing demand quantity and the down-climbing demand quantity of each flexible climbing price interval in each scheduling period, and scheduling the resources of the power system according to the solving result. By implementing the invention, the problem that the power supply and demand of the power system are unbalanced when the natural climbing amount is not greater than the climbing demand in the prior art can be solved, and the operation stability of the power system is improved.

The invention discloses an intelligent calibration method and system for the electric quantity of an instrument, and relates to the technical field of electric energy metering of an electric power system.The intelligent calibration method comprises the steps that an electric meter network diagram with a main meter and sub-meters as nodes is constructed, and robust composite correlation indexes are calculated on the basis of reading increments in a sliding time window; the interference of common background load and instantaneous noise is suppressed by using a threshold clipping and main table purification mechanism, so that the depiction capability of the correlation graph on a physical connection relationship is improved fundamentally, and the phase to which the sub-table belongs can be identified more accurately in a stock area with unknown phase or incomplete topology; a graph neural network model is introduced based on the network graph, electric meter embedding representation with physical meaning is obtained through neighborhood information aggregation, phase grouping is achieved in combination with unsupervised clustering, split-phase energy balance loss is designed in the training stage, and the difference between the reading of a main meter and the sum of the reading of sub-meters in each phase group is used as a constraint. Alignment of the embedding space and the energy conservation relation is pushed in a self-supervised mode.

The invention provides a three-layer nested IES collaborative optimization method fusing semantic evolution and reinforcement learning, and belongs to the technical field of integrated energy system scheduling, and the method comprises the steps: constructing an IES mathematical model, an energy balance constraint and an optimization target, and abstracting a scheduling task into a Markov decision process MDP quintuple; building an ARDRL model containing a semantic knowledge layer, an evolutionary optimization layer and a distributed evaluation layer, generating a candidate reward function population through a large language model, and quantifying the fitness through Thompson sampling optimization and SAC intelligent agent distributed evaluation; and finally, carrying out iterative optimization by taking the fitness as feedback, and outputting an optimal reward function to guide IES collaborative scheduling. According to the method, a reward function does not need to be designed manually, the robustness and comprehensive performance of a scheduling strategy are improved, and economic, safe and low-carbon multi-target optimal balance is realized.

The invention provides a hydrogen-electricity hybrid energy storage capacity optimization method and device applied to an integrated energy system, and belongs to the field of integrated energy configuration optimization. The method provided by the invention comprises the following steps: adopting a self-adaptive time sequence compression algorithm to perform self-adaptive grouping, weighted fusion and iterative updating processing on annual original time sequence data of the integrated energy system, and compressing to obtain representative time sequence data; based on the representative time sequence data, constructing a capacity planning model, and solving to obtain a capacity pre-planning value of the system core equipment; the capacity pre-planning value is substituted into the original time sequence data, the capacity planning model is reused, the hydrogen energy storage capacity is checked and corrected through full-time sequence energy balance simulation, and the final capacity configuration of the system core equipment is obtained; and based on the final capacity configuration, simulating system operation, extracting an electric and thermal power unbalance residual sequence, extracting a residual fluctuation scene and a corresponding probability, respectively constructing independent optimization models of electric energy storage and thermal energy storage, and solving to obtain the optimal capacity of the electric energy storage and the thermal energy storage.

The invention relates to the technical field of photovoltaic power generation, in particular to a regional autonomous regulation and control method and system for distributed photovoltaic groups and user side energy storage. The method comprises the following steps: obtaining photovoltaic group output data and user side load data; performing energy balance evaluation according to the photovoltaic group output data and the user side load data to determine a regional energy gap; performing energy storage autonomous adjustment analysis based on the regional energy gap to obtain energy storage autonomous adjustment data; performing peak clipping and valley filling identification based on the energy storage autonomous adjustment data to obtain peak clipping and valley filling data; positioning an energy mutual aid path by using peak clipping and valley filling data; performing power grid stability detection based on the energy mutual aid path to obtain power grid stability data; predicting a critical instability state according to the power grid stability data; and adjusting energy storage parameters according to the critical instability state to obtain energy storage adjustment parameters. Based on the photovoltaic power generation technology, the energy dispatching precision and the power grid operation stability of the regional photovoltaic and energy storage system are improved.

The invention discloses a full-process control method and system for galvanization processing, and relates to the technical field of Internet of Things production control. The invention discloses a full-flow control system for galvanization processing. The full-flow control system comprises a data acquisition module, a micro-flow field observation module, a risk calculation module, a parameter decision module, a comprehensive optimization module and a data positioning module. According to the method, a physical information neural network containing electrochemical constraint and thermal-fluid conservation constraint is introduced into a CFD digital twinborn model, and assimilation is carried out on micro-flow field observation data, so that micro-flow field state and dynamic evolution prediction synchronous with a production line are obtained; on the premise of ensuring mass balance and energy balance, the physical consistency and precision of flow field reconstruction and prediction are improved, and credible flow field state representation is provided for defect risk assessment and control decision based on the micro-flow field.

The invention discloses a partition optimization scheduling control method and system for an energy storage power station, and relates to the technical field of power grid load prediction scheduling, and the method comprises the following steps: constructing a multi-scale dynamic baseline of load data, carrying out the phase calibration of a short-time fluctuation signal and a long-term trend signal under a unified time coordinate, and obtaining a multi-scale dynamic baseline; generating a cross-scale coupling mapping matrix by using a time embedding operator based on a calibration result; and establishing a gradient phase tracking network based on the cross-scale coupling mapping matrix. According to the method, time alignment and self-adaptive correction of short-time fluctuation and long-term trend signals are achieved through a multi-scale dynamic baseline and gradient phase tracking mechanism, weight energy balance is kept, and prediction continuity and accuracy are remarkably improved. Meanwhile, a causal residual error playback chain and time scale self-folding mapping enable the model to have self-correction and self-stabilization capabilities, sub-models can be automatically split during phase resonance, multi-scale response coordination is ensured, and the stability and operation efficiency of power grid load prediction scheduling are improved.

An electric power and electric quantity balancing method for a clean energy base containing a high-energy load comprises the steps that firstly, the fluctuation rule of the high-energy load is recognized based on the historical operation condition of the high-energy load, and a high-energy load model is established; secondly, according to the operation mechanism of the clean energy base, establishing an output model for each new energy unit in the base, and predicting the output and load demand of the new energy units in combination with weather forecast and historical data; then, according to the characteristics of a high-energy load and a conventional load, establishing a load management system, introducing a demand response mechanism, constructing a flexible scheduling resource platform considering different time scales by relying on the load management system and an adjustable power supply in a base, and setting priorities and adjusting costs for all adjustable resources in the flexible scheduling resource platform; and different adjustment resources can be reasonably selected in the scheduling process of the power grid. And finally, establishing a high-energy load-containing optimal scheduling model considering electric power and electric quantity balance, and ensuring that the electric power and electric quantity balance on the two sides of the source load can be realized in the scheduling of the power grid on different time scales.

The invention relates to the technical field of integrated energy system dispatching, in particular to an integrated energy system low-carbon dispatching method considering fuel gas hydrogen mixing and carbon transaction, which comprises the following steps of: constructing an integrated energy system model containing electric power, thermal power, natural gas and coupling equipment, and defining an electric hydrogen production process and an electric methane production process of power-to-gas equipment by the coupling equipment model; a fuel gas mixed hydrogen energy flow calculation model is constructed, a decomposition solution method is adopted for iterative convergence and dynamic calculation of a mixed fuel gas real-time heat value, and energy balance constraints are improved; constructing an optimal scheduling model considering the stepped carbon transaction, and taking the minimization of the total operation cost as a target; and applying hydrogen mixing proportion upper limit constraint, and cooperatively deciding power distribution and a hydrogen storage tank charging and discharging strategy through an optimization algorithm to solve a target function. According to the method, the energy flow calculation precision and the renewable energy consumption capability are improved, and collaborative optimization of system economy and environmental protection benefits is realized.

The application discloses a kind of integrated protection self-healing function's power distribution network energy balance regulation and control method, comprising the following steps: S1, power distribution network system normal operation, energy manager acquires the data information of power distribution network system;S2, whether there is change in power distribution network system node load, if yes, enter step S3;If no, power distribution network system if fault enters step S4;If no fault, enter step S1;S3, whether there is fault in power distribution network system, if yes, enter step S4;If no, execute energy manager individual regulation strategy;S4, whether energy manager in power distribution network system adjusts switch position, if yes, adjust distributed power output, enter step S5;If no, carry out distributed protection self-healing system regulation;S5, power distribution network system restores balance.It is realized that energy balance regulation and control under normal operation condition of power distribution network system containing distributed power supply configuration and double-end power supply and self-healing system regulation and control under fault condition and energy regulation after fault self-healing.

The application discloses a kind of shore-based breeding sea sewage outlet nitrogen phosphorus dynamic flux calculation method, comprising the following steps: S1, obtain shore-based breeding pond basic breeding parameter, species basic information and field breeding pond water body index data, provide input data for subsequent calculation;S2, construct the energy balance model of the breeding species to be studied, input basic physiological parameters, environmental parameters and breeding basic data, construct individual energy input and output balance equation;S3, the energy dynamic numerical value output by energy balance model is converted into carbon flux by energy density constant, and carbon flux is converted into nitrogen flux and phosphorus flux;S4, construct the nitrogen and phosphorus balance calculation relationship of single pond mouth, calculate the nitrogen and phosphorus pollution dynamic discharge flux of single pond sewage outlet scale;S5, the model result is verified using the actual monitoring data of breeding pond sewage outlet, the fitting effect of calculated value and measured value is compared, and model parameter is corrected;The method can realize the accurate, dynamic calculation of nitrogen and phosphorus pollution discharge flux.

This invention relates to the field of waste-to-energy incineration technology and provides an artificial intelligence-based combustion control method for waste-to-energy boilers. The method includes: collecting data from a distributed control system, flue gas monitoring, and feed metering, aligning these data with a unified time frame, and generating combustion condition data; calculating drift residuals and missing rates, classifying and labeling them to obtain confidence weights; calculating equivalent lower heating value and moisture content from steam flow and feed flow based on energy balance, updating parameters only during the stable steam and carbon monoxide windows; identifying the equivalent time delay from control quantities to steam and emissions based on cross-correlation peak values, writing this information into the prediction model after stabilization, and performing shift compensation; constructing hard constraints for steam and emissions based on aligned predictions, writing confidence into the cost function, using MPC to calculate the feasible region, selecting incremental deployments within the policy network domain, and backing down and auditing for low confidence levels.

The application relates to the technical field of electric energy distribution regulation, and discloses an intelligent manufacturing execution method for regulating and controlling rubber forming temperature, which comprises the following steps: collecting voltage and current data of a controlled thermal load loop power distribution side, determining instantaneous physical power and establishing an energy efficiency audit factor, using the factor to weight and correct physical energy values to construct a virtual thermal potential energy model representing a thermal enthalpy state, introducing an external mechanical load feedback signal and adjusting a thermal potential energy saturation threshold, identifying endogenous disturbance power in a controlled object by calculating energy deviation residuals, and adjusting output duty cycle parameters of power electronic power devices. The application converts lagging temperature feedback into electric energy flow integral control through a virtual thermal potential energy balance architecture, effectively eliminates the influence of power supply side voltage fluctuation and internal disturbance of a controlled object on energy balance, and improves electric energy utilization efficiency and controlled state robustness.

The invention relates to the technical field of power electronics, and discloses a wide-range voltage regulation method, system and device based on frequency doubling circulation injection and a medium, and the method comprises the steps: building an improved bridge arm multiplexing type modular multilevel converter topological structure, presetting a multiplexing mode switching function, and setting an independent modulation strategy; and meanwhile, voltage regulation operation is carried out by representing double frequency circulation and bridge arm energy balance constraint conditions. According to the method, accurate expression of bridge arm voltage modulation waves is ensured in a mode of independent modulation of each bridge arm, a mathematical basis is provided for energy balance analysis, and a fixed modulation ratio meeting energy balance is deduced by taking bridge arm current in a non-circulating-current state as a reference. And further taking the deviation between the expected modulation ratio of the system and the fixed modulation ratio as a control quantity, determining a frequency doubling circulating current amplitude meeting energy balance, and performing injection control, so that the bridge arm multiplexing type MMC obtains the wide-range voltage regulation capability.

The invention discloses an intelligent prediction and migration regulation and control method for key indexes of a solid waste incineration system. According to the method, firstly, a hybrid expert model is constructed based on historical operation data of a reference incinerator, and soft physical constraints such as oxygen balance, total pollution load conservation and energy balance are introduced into model training in combination with a physical information neural network structure, so that the physical consistency of a prediction result is improved. On the basis, cross-plant migration is realized through a mode of field self-adaption, parameter fine tuning or plant vector embedding, so that the model can be quickly adapted under data distribution and operation characteristics of different incineration plants, and the high-precision prediction capability of multi-pollutant emission is kept. According to the method, a carbon-pollution collaborative comprehensive risk index is further constructed, and real-time quantitative evaluation of the environmental risk in the incineration process is achieved. According to the method, the key emission indexes of the solid waste incineration system can be stably predicted under the condition that the data size is limited, and an effective decision basis is provided for incineration working condition optimization and pollution control.

The invention belongs to the technical field of energy regulation and control, and provides an energy storage regulation and control decision method and system based on energy dynamic balance, and the method comprises the steps: constructing an energy storage equipment feature set, carrying out the numerical conversion of state features in the energy storage equipment feature set, and obtaining key energy storage features; the method comprises the following steps: constructing an equivalent state-of-charge model, an intra-day time-phased capacity measurement and calculation model and a system power model of an energy storage system, setting balance conditions of the energy storage system, and carrying out quantitative solution on key energy storage characteristics to obtain quantitative data of energy storage nodes; according to the quantized data and an energy balance grading rule, an alternative regulation and control scheme is determined through a multi-energy storage system regulation and control model; and setting regulation and control constraint conditions, constructing a regulation and control cost model of the energy storage system participating in the power grid, and screening the alternative regulation and control schemes to obtain an energy storage regulation and control decision scheme. According to the scheme, the regulation and control precision is effectively improved, the energy dynamic balance of the energy storage node network is realized, and the regulation and control effect is better.

An electric power and electric quantity balance optimization method for an electricity-gas coupling system under extreme disasters comprises the following steps: firstly, establishing dynamic association between a natural gas system and an electric power system through an electricity-to-gas device and a gas power plant, and building an electricity-gas coupling model; and secondly, aiming at climate resource fluctuation caused by disasters, combining a new energy output model and source-load characteristics during the disasters, utilizing natural gas energy storage to make up an electric quantity gap of new energy output, and ensuring source-load supply and demand balance of the power system. And finally, in combination with the predicted climate data and the load side power demand, establishing a pre-disaster-disaster-time (intra-day) multi-time scale scheduling strategy by taking the maximum generating capacity of the system as a target. According to the method, the advantages of electricity-gas coupling are utilized, resources are effectively scheduled before and after an extreme disaster event occurs, through a multi-time-scale scheduling strategy, the influence of the extreme disaster on the power system source-load supply and demand relationship is reduced, and the power and electric quantity balance of the system is ensured.

The application provides a kind of energy storage capacity calculation method and system considering peak regulation and new energy consumption, comprising: calculating the transmission line sending power based on the characteristic data of the obtained cross-regional sending end power grid, receiving end power grid and transmission line, and constructing a constraint curve based on the transmission line sending power;Based on the constraint curve and the obtained sending end power grid, receiving end power grid power installed capacity and source network load characteristics, simulation is carried out by using new energy production simulation software, the energy storage capacity of sending end power grid and / or charge-discharge hours are adjusted until the new energy utilization rate of sending end power grid reaches the target value;The energy storage capacity of the sending end power grid when the new energy utilization rate of the sending end power grid reaches the target value is used as the planning energy storage capacity that meets the new energy consumption requirement.The two effective consumption means of energy storage to improve the flexibility of regional power grid and cross-regional power transmission to realize large-scale power and energy balance are comprehensively applied, which is a solution to the challenges and risks faced by new power system.

This invention belongs to the field of energy simulation technology and relates to an energy flow network simulation system and method for steel enterprises. It includes: a system configuration module for configuring parameters based on user-inputted information and forming a structured configuration data package; a front-end operation module for configuring a visual interactive interface based on the configuration data package; generating a Gantt chart based on pre-set production and maintenance plans; and drawing a dynamic energy flow diagram based on user-defined equipment and energy nodes; and a back-end service module for calculating energy prediction results based on the Gantt chart, dynamic energy flow diagram, and configuration data package using a pre-set production and consumption model, and performing scheduling optimization when energy prediction results are unbalanced to obtain an energy scheduling balance result. This invention achieves collaborative simulation of production and energy, more intuitively displays the energy balance process, provides a more comprehensive simulation platform for the steel industry, and facilitates systematic management by enterprises.

The application discloses a kind of furnace temperature prediction and control system based on deep learning, it is related to thermal power generation technology field.The system includes: data preprocessing module, for obtaining and processing DCS operation data, constructs historical time series data;Key parameter prediction module, using the deep learning time series prediction model of fusion quality balance, energy balance and NOx generation dynamics constraint, output the future change trend of multiple parameters;Multi-objective rolling optimization module, generate optimal control set value sequence;Instruction safety fusion module, after the safe fusion of optimization instruction and DCS original protection logic, issue and execute;And man-machine interaction and performance monitoring module.The application is through the integration framework of physical guided deep learning prediction and rolling time domain optimization, effectively solve the problem of large delay and strong coupling in thermal power unit combustion control, while improving load response speed, guarantee main steam parameter stability, improve boiler efficiency and reduce pollutant emission.

This invention proposes a multi-energy coordinated regulation method and system for a comprehensive energy system in a park, relating to the field of energy management technology. It includes: constructing energy autonomous units and local energy balance equations, energy storage state update equations, and equipment power and energy boundary constraints; solving for the elastic net exchange power range of each autonomous unit under uncertain scenarios based on the equations and constraints, symmetrically shrinking the range and reporting it to the elastic coalition scheduling layer; constructing a clearing model at the elastic coalition scheduling layer based on the reported information, solving for the target net exchange power, reserve capacity allocation, and park network energy flow of each autonomous unit; distributing the solution results to the autonomous units, which then adjust equipment output according to priority and track it in real time; monitoring equipment status and renewable energy output deviations, triggering emergency degradation control when equipment failure or deviation exceeding a threshold is detected, reconstructing the model, and introducing a graded load reduction mechanism, thereby improving the stability, reliability, and regulation accuracy of the system operation.

The invention relates to the technical field of industrial automation control, and particularly provides a coal quality improvement control system and method based on segmented energy regulation, and the method comprises the steps: collecting coal quality parameters in real time, and obtaining standardized input parameters through normalization and filtering processing; the method comprises the following steps: acquiring process information of coal treatment, respectively establishing an energy balance and coal quality change segmentation model according to a coal treatment flow in the process information, and setting each segment target including moisture reduction in a drying segment, fineness guarantee in a grinding segment and stable blending heat value in a feeding segment; and presetting a rolling optimization mechanism, and carrying out constraint matching on the calculated control variable, a boiler combustion optimization system and a power grid AGC instruction through a model prediction control and heuristic optimization algorithm. According to the method, the segmented energy balance and coal quality change model is constructed according to the process parameters, rolling optimization and multi-target constraint matching are combined, efficient energy regulation and control and stable coal quality coordination in the whole fire coal preparation process are achieved, and the combustion efficiency is improved.

The invention discloses a flexible ammonia synthesis control method based on a wind-solar hybrid power generation scene. The method comprises the following steps: collecting real-time operation data and equipment parameters of a system, and obtaining renewable output predicted values of N hours and M hours in the future; according to the collected data and a set minimum load coefficient, boundary conditions required for maintaining the minimum load and full load operation of the system are calculated, and the minimum allowable reserve of the hydrogen tank is determined; judging that the system is in an energy shortage, energy balance or energy abundance state based on the energy difference between the prediction data and the operation boundary; executing a corresponding hierarchical energy distribution and multi-mode discharge strategy according to the judged state type; on the premise that power balance and equipment constraint are met, a hydrogen production power set value, a synthetic ammonia power set value and a battery charging and discharging power request are obtained through calculation and issued to the system. The method can effectively relieve the contradiction between the wind and light fluctuation and the stable operation of synthetic ammonia, and improves the safety and renewable energy consumption capability of the system.

This invention discloses a holographic cumulative calculation model for total ecological growth volume, belonging to the fields of plant growth modeling and ecological agriculture. The invention uses a first model as its core, embedding four sub-models: energy balance, overall growth rate, thermal pressure relief, and whole-organ whole-domain synthesis. All sub-models collaboratively serve the first model. The energy balance sub-model realizes the conversion and distribution of environmental energy; the overall growth rate sub-model establishes the quantitative relationship between growth rate and water and energy; the thermal pressure relief sub-model regulates thermal pressure balance; and the whole-organ whole-domain synthesis sub-model realizes the spatial accumulation of organ growth rate and the temporal accumulation of the entire life cycle, outputting the total ecological growth volume. The model reveals a positive correlation between growth rate and water absorption rate, a positive correlation between growth volume and water absorption, and both are positively correlated with temperature. This invention achieves unified calculation across the entire plant life cycle and all organs, and can be applied to intelligent irrigation, yield prediction, and ecological restoration.

The invention relates to the technical field of rock mechanics and engineering geology numerical analysis, in particular to a dynamic relaxation quasi-static crack path tracking method and system.The method comprises the steps that geometric information, boundary and loading information, material parameters, initial defect information and observation data are obtained, a finite element model is constructed, and a damage field is initialized; applying a load to each external load increment, and solving a balance displacement field and a current damage field by adopting dynamic relaxation to obtain a crack propagation driving force field and an energy balance amount; a crack zone is obtained based on persistent coherence, a crack tip front edge is extracted, a candidate crack propagation increment set is generated, submission increments are determined through factor graph inference and dynamic relaxation prediction, and a damage field is updated; according to the energy balance amount and the convergence state back-off increment, numerical control parameters are updated, and material parameters are updated in combination with ensemble Kalman filter assimilation. According to the invention, stable tracking of the crack path is realized and prediction consistency is improved.

The invention discloses an arid region ecological restoration assessment method and system based on an energy balance mechanism, and relates to the technical field of ecological restoration assessment. The arid region ecological restoration assessment method based on the energy balance mechanism comprises the following steps: continuously acquiring remote sensing image data and remote sensing inversion data of each time period of each growth season of a set arid region; performing feature deconstruction processing on the remote sensing image data based on a pre-constructed spectral energy mapping model to obtain an energy absorption feature value of the remote sensing image data in a corresponding time period; and performing energy analysis processing on the remote sensing inversion data to obtain an energy dissipation characteristic value of the remote sensing inversion data in a corresponding time period, and analyzing an ecological restoration evaluation value of the set arid region in combination with an energy absorption characteristic value. Therefore, the ecological restoration condition of the arid region is accurately reflected, the distinguishing capability of the vegetation state in the complex environment is improved, and the reliability of ecological restoration effect evaluation is improved.