14results about How to "Reasonable configuration" patented technology

This invention discloses a method, system, equipment, and storage medium for configuring the capacity of a static synchronous compensator (STATCOM) in a SLCC valve hall, belonging to the field of high-voltage direct current (HVDC) transmission technology. The method includes: analyzing the LCC commutation process based on an electromagnetic transient model of the commutation circuit using LCC capacitor reactive power compensation to determine a first analytical relationship between the amplitude of the power frequency component of the first commutation current and the capacitor reactive power compensation capacity; determining an electromagnetic transient model of the SLCC commutation circuit operating with STATCOM fundamental reactive power compensation and harmonic elimination functions based on the SLCC topology; analyzing the SLCC commutation process based on the electromagnetic transient model of the SLCC commutation circuit to determine a second analytical relationship between the amplitude of the power frequency component of the second commutation current and the fundamental reactive power compensation capacity and harmonic reactive power compensation capacity; and determining the STATCOM configuration capacity based on the first and second analytical relationships and according to capacity equivalence constraints. The technical solution provided by this invention can ensure the safety of SLCC commutation and harmonic compensation capabilities while reducing the redundancy of STATCOM capacity configuration.

This invention discloses an economically viable intelligent photovoltaic system, comprising: a system design module for designing and optimizing the photovoltaic system; an equipment and data traceability module for real-time monitoring and data collection, forming an information network based on the correlation of the collected data; an inspection and scheduling module for automatically planning and scheduling inspection tasks based on real-time monitoring and collected data; a fault early warning module for analyzing equipment anomalies based on real-time monitoring and collected data and providing early warnings for such anomalies; and a fault self-healing module for rapidly repairing faults detected by the fault early warning module. This achieves an intelligent inspection, early warning, and self-healing mechanism, reducing costs and improving economic efficiency.

The present application relates to the technical field of vehicle configuration recommendation, and discloses a truck configuration intelligent recommendation method, system, device and medium. The method comprises the following steps: obtaining daily operation conditions and corresponding static configuration data of a plurality of sold trucks; extracting the internal relationship between different configuration parameter combinations in the static configuration data of each sold truck and the mapping relationship between the daily operation conditions and truck performance indexes; determining the rationality evaluation score of different configuration parameter combinations according to the internal relationship between the different configuration parameter combinations, and obtaining the matching relationship between the daily operation conditions of each sold truck and the corresponding static configuration data in combination with the mapping relationship between the daily operation conditions and the truck performance indexes; and constructing a configuration condition matching model through the matching relationship between the daily operation conditions and the corresponding static configuration data of all sold trucks, so as to perform truck configuration intelligent recommendation, and the recommendation accuracy and efficiency are both higher.

The invention relates to the technical field of power system operation and control, and discloses a multi-energy power system energy storage coordinated scheduling method, equipment and a medium, and the method comprises the steps: building a dynamic characteristic model reflecting the aging and loss evolution of an energy storage unit, and expressing the dynamic characteristic model as a dynamic function of historical operation cumulant, current charge state and external environment parameters; performing fusion analysis on the historical meteorological sequence, the load sequence and the carbon price sequence, and outputting interval prediction results of new energy output, system load and carbon price in a future scheduling time period; according to the interval prediction result, dynamically calculating a trigger index representing the uncertainty of the system, and according to the trigger index, executing optimal scheduling; and updating the state of the energy storage unit according to the actual operation data, and correcting the dynamic characteristic model. According to the invention, uncertainty can be intelligently dealt with, so that the new energy consumption capability is significantly improved and the overall operation cost is reduced.

The present application relates to the field of intelligent water management, and particularly relates to a water abnormal event early warning system based on data collection and analysis, which forms time synchronization time series data through multi-source data collection, calculates dynamic risk scores, identifies abnormal events and outputs event type confidence, generates propagation prediction results in combination with pipe network topology, executes dynamic control measures, and receives feedback to update the state through the alarm closed loop, realizes real-time early warning and accurate disposal of water abnormal events, realizes early identification and accurate attribution of short-time negative pressure backflow and high-toxicity small-volume pollution groups through multi-source time synchronization and dynamic risk assessment, gives the influence range and time window in combination with topological propagation prediction, improves the disposal directionality, and updates the state relying on the alarm-control-feedback closed loop, self-optimizes the threshold and strategy, and improves the emergency efficiency.

This invention discloses a vehicle charging planning method and related equipment based on charging stations. The main objective is to address the problems of insufficient charging stations leading to inefficient and inefficient charging station configuration, resulting in long waiting times for vehicles, and the issue that relying solely on charging station-level planning introduces significant uncertainty when the vehicle is at a certain distance from the charging station, potentially causing planning failures or requiring multiple replanning attempts. The method includes: obtaining the current battery level of the target vehicle; if the target vehicle's current battery level is lower than a preset level, querying the charging status of charging stations within a preset range of the target vehicle, including charging station occupancy status, navigation data of the currently charging vehicle, and its current battery level; and determining the target charging station based on the charging station occupancy status, the vehicle's navigation data, and its current battery level.

The application provides an agricultural drought and flood disaster influence evaluation system based on multi-source data fusion, and belongs to the field of disaster evaluation; the problem of low agricultural drought and flood disaster evaluation efficiency is solved; specific modules are as follows: a data acquisition module: multi-source data of a target area is acquired; a historical record analysis module: spatial distribution or time variation law of rainfall in the target area is analyzed, and whether the rainfall is normal is judged in combination with the multi-source data; if not, the relevant departments are notified; if normal, whether the target area has a drought or flood risk is judged; if there is a risk, the occurrence time and duration of the drought or flood are predicted; if there is no risk, no processing is performed; an economic influence analysis module: whether the planting area of each crop in the target area has a drought or flood risk is judged; if not, no processing is performed; if yes, the harvesting time of the crop is temporarily determined; the application estimates the drought or flood disaster risk by analyzing the rainfall data of the target area, and reduces agricultural losses.

This invention relates to the field of meteorological forecasting technology, specifically a meteorological forecasting adaptive optimization method and system based on multi-algorithm fusion. This method constructs a parameter optimization framework based on multi-algorithm fusion, embedding physical constraints, and possessing adaptive capabilities, aiming to systematically solve key problems in the parameter tuning process of traditional meteorological forecasting systems. This framework achieves efficient and intelligent optimization through a series of tightly linked steps, ensuring the effectiveness and stability of the method in operational scenarios. This process integrates preceding modules into a unified platform through a microservice architecture, automating data and control flows. The evaluation system includes historical backtesting, real-time forecast testing, and extreme weather-specific testing, quantifying forecast accuracy improvement, resource consumption optimization, and cross-scenario generalization capabilities. Results are fed back to a knowledge base to form a self-optimization loop, ultimately verifying the comprehensive advantages of this method in improving forecast efficiency, ensuring physical rationality, and operational applicability.

The present application relates to a kind of light building materials containing vinasse and its preparation method and application, belong to light building material technical field, material includes cement, composite activated powder, modified reinforcing fiber, composite foaming agent, graded expanded perlite, shale haydite, weather-resistant reinforcing additive, waterproof plugging additive, heat preservation stabilizing additive, polymer of methyl oxirane and oxirane dimethyl ether etc. Component.Composite activated powder is the mixture of vinasse, slag powder, expandable graphite powder and nanometer silicon dioxide, is prepared after surface modification by silane coupling agent KH-560.Modified reinforcing fiber is short fiber made of glass fiber reinforced PP particle melt extrusion, is prepared after surface modification by silane coupling agent KH-550.Composite foaming agent is prepared by mixing vinasse protein solution, ammonium bicarbonate, wood fiber and tween-80.Each component is used in cooperation, interface modification is optimized, realizes the light weight of material, and improves strength, waterproof, anti-permeability and frost resistance.

This invention discloses an islanded microgrid management system and its energy management method. The energy management method includes collecting and setting the output power of small-power generators within a preset time period based on historical data; setting a setpoint range; and controlling the islanded microgrid system to execute power adjustment commands based on the relationship between the actual output power of the power supply equipment and the power required by the electrical load, as well as the relationship between the state of charge value of the energy storage system and the setpoint range. The power adjustment commands include controlling the charging of the energy storage system, controlling the discharging of the energy storage system, controlling the disconnection of the power supply equipment, and controlling the disconnection of the power supply equipment from the load. This invention solves the power quality problems caused by power fluctuations, load changes, and system disturbances of microgrid renewable energy generators, and achieves reasonable allocation of the capacity of distributed power sources in the islanded microgrid, ensuring the stable operation of important loads.

This utility model discloses a portable hoof trimming and fixing device for sheep, including a pair of fixing leg rings and a telescopic device fitted on one side of the pair of fixing leg rings. The pair of fixing leg rings includes a first fixing half-ring and a second fixing half-ring. The first fixing half-ring has a first connecting hole at its bottom, and the second fixing half-ring has a pair of second connecting holes at its bottom. The first connecting hole and the pair of second connecting holes are connected by a pin. A first extension rod is provided on one side of the first fixing half-ring, and one end of the first extension rod has a first threaded hole. This utility model meets the needs of farmers for safety, stability, portability, and user-friendly design during sheep hoof trimming. This device not only improves the stability and comfort of sheep but also increases the efficiency and safety of hoof trimming, solving the inconvenience of traditional hoof trimming methods, fixing the sheep's legs to prevent them from moving around, improving work efficiency, and ensuring personnel safety.

The utility model relates to the technical field of operation equipment, in particular to an operation working table convenient for personnel to operate, and solves the technical problem that a working table capable of adapting to a conveying belt to configure traditional Chinese medicine in a flow manner is lacked in the prior art. The first counter top and the second counter top abut against each other to form a material vacant position and a working groove area. The working groove area is adjacent to the conveyor belt group; the first counter top and the second counter top are provided with walking wheels and fixing and adjusting assemblies. The walking wheels are used for walking to adjust the distance between the first counter top and the second counter top. The fixing and adjusting assembly is used for enabling the first table and the second table to be fixed after the distance adjustment is completed. Compared with a working table in the prior art, the technical scheme is particularly suitable for a production line of a conveying belt set of a traditional Chinese medicine production enterprise, and has the technical advantages of being simple in configuration, capable of being adjusted along with the production line, reasonable in work area configuration and convenient to operate.

This application discloses a diagnostic multidimensional analysis method, system, device, and medium. By determining the mapping relationship between target medical information and evidence-based nodes, and evaluating the execution results of clinical pathways based on evidence-based evidence, this method helps reduce the influence of physicians' personal experience and subjective judgment on treatment plans, improving the scientific and rational nature of treatment decisions. For each diagnostic information in the target medical information, if a corresponding target clinical pathway exists, the execution status of the target clinical pathway for that diagnostic information can be evaluated based on the mapping relationship between the target medical information and evidence-based nodes, and the evidence-based evidence corresponding to at least one evidence-based node included in the target medical information and target clinical pathway. This helps to promptly identify and resolve potential problems during execution, optimize the execution process of clinical pathways, improve the quality and efficiency of medical services, and provide scientific, objective, and traceable evidence chain support for diagnostic selection.

The application relates to the technical field of ophthalmic medical diagnosis, and discloses an intelligent fundus lesion marking method based on three-dimensional reconstruction and a diagnosis system.The method comprises the following steps: receiving fundus color photos, OCT images and FFA images and other multi-modal image data streams of ophthalmic patients; using a pre-trained lesion feature fusion model to perform spatial registration and feature fusion, generating a three-dimensional lesion probability distribution graph and a lesion category confidence matrix; constructing an adaptive marking threshold model to generate a multi-modal marking instruction set; simulating lesion development based on a lesion development chain model and optimizing the parameters of the marking instruction set; and through iterative optimization of a distributed reinforcement learning framework, outputting a lesion marking action sequence to an ophthalmic diagnosis platform.The application can integrate multi-modal image information, improve diagnosis accuracy and efficiency, realize personalized diagnosis, rationally utilize resources and provide strong support for ophthalmic disease diagnosis.