20results about How to "Achieve coordination" patented technology

The control method comprises the steps that the rotating speed of a high-temperature-stage inverter compressor is mainly comprehensively determined by the high-temperature-stage exhaust temperature, the high-temperature-stage condenser temperature, the high-temperature-side outlet temperature of an intermediate heat exchanger and the high-temperature-stage return air temperature; through dynamic adjustment of the first fuzzy PID controller, the working condition and energy efficiency of the high-pressure side of the system are optimized; the rotating speed of the low-temperature-stage frequency conversion compressor is mainly comprehensively determined by the temperature in the box, the real-time rotating speed of the high-temperature-stage compressor, the low-temperature-stage exhaust temperature, the temperature of the intermediate heat exchanger and the low-temperature-stage return air temperature, and the rotating speed is dynamically adjusted through the second fuzzy PID controller so as to ensure that the temperature in the box is accurate and stable and is matched with the high-temperature-stage capacity in real time. Through cooperative control of the parameter groups, the problems of low efficiency and unstable operation caused by mismatching of two-stage capabilities of the cascade system are solved, and efficient, stable and reliable operation of the system under all working conditions is realized.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

The application provides a two-stage MPC control method and system for power smoothing output, and relates to the field of new energy control. A discrete state space prediction model is constructed; all state variables are obtained in the current sampling period and used as the input of the first-stage MPC control; the mechanical and electrical state prediction sequence and the optimal control input are obtained by combining the constraint condition and the dynamic optimization objective function of the second-stage MPC control feedback in the last sampling period; in the second-stage MPC control, the optimal power trajectory meeting the smoothing requirement is obtained by combining the smoothing optimization objective function, and is mapped to the control constraint interval of the next sampling period and fed back to the first-stage MPC control; the optimal control input is applied to the execution equipment, and after the constraint condition is fed back to the first-stage MPC control, the next sampling period is entered. The application can inhibit the rapid fluctuation of the generated power without energy storage devices, improve the grid connection quality, and enable the renewable energy power generation system to still stably output under the severe changes of the external environment.

The present application relates to the technical field of battery cooling, and discloses an adaptive dual-mode immersed liquid cooling system based on acoustic-heat flow collaborative sensing. The system comprises an acoustic sensor, a temperature sensor, a fuzzy controller, a multi-channel controller, a pump, a cooling coil, a radiator and a water tank. The system can perform single phase change cooling operation in a low rate mode and flow phase change collaborative cooling operation in a high rate mode, and mode switching decisions are made based on frequency domain changes of acoustic characteristics and calculated values of heat flow density. The acoustic sensor collects boiling acoustic wave signals of the cooling liquid, the temperature sensor monitors the battery temperature gradient, the fuzzy controller generates control instructions based on the above signals, and the multi-channel controller controls the pump power, the cooling coil flow and the radiator power. Through collaborative sensing and dual-mode adaptive adjustment, the system improves the cooling efficiency and response speed, adapts to different battery load states, and ensures the safe and stable operation of the battery.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

A method and system for collecting pedestrian motion data based on hybrid rendering renders a pre-set traffic scene from a virtual engine onto a virtual reality headset. Subjects then perform a series of human-vehicle interaction behaviors and reactions based on the images displayed on the headset. Motion capture devices record these behaviors and reactions while simultaneously driving a virtual character within the rendering engine, completing a series of data acquisition processes within the rendering engine. This invention fully combines the convenience of scene creation, data acquisition, coordinate system calibration, and time synchronization of a rendering engine simulator with the richness and realism of human movement and reactions in the real world. It captures and redirects the reactions and movements of real pedestrians based on the virtual scene in the rendering engine to a virtual character within the rendering engine, and then collects and records multi-view, multi-modal data within the rendering engine.

The application belongs to the field of agricultural biotechnology, and particularly relates to a gene mutant with high potassium absorption and utilization efficiency and application thereof. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. The transgenic plant provided by the application has excellent low-potassium stress resistance compared with the wild-type plant. In addition, the transgenic plant provided by the embodiments of the application has growth advantages, higher stem potassium content and root potassium content compared with the wild-type plant under the conditions of sufficient potassium supply (2.5 mM) or severe potassium deficiency (0.03 mM).

The invention provides a dynamic monitoring method based on SD-WAN resources, a computer program product, electronic equipment and a storage medium, and the method comprises the steps: obtaining lightweight data from a client of SD-WAN service; preprocessing the lightweight data to obtain normalized data; performing time sequence analysis on the historical data to obtain statistical characteristics; and performing dynamic threshold comparison on the standardized data according to the statistical characteristics, and dynamically monitoring the resources of the client according to a comparison result and formulating a corresponding strategy. By implementing the method and the system, efficient, accurate and intelligent monitoring and early warning of customer resources and active health management and control of enterprise network operation and maintenance can be realized, the real-time performance is higher, the resource consumption is lower, and the efficiency and the reliability of SD-WAN resource management and control are remarkably improved.

The invention discloses a heating station operation management method and system based on multi-energy complementation, and relates to the technical field of energy management, and the method comprises the steps: collecting air temperature data, user heat demand data and heating station operation data, carrying out the standardization processing, and obtaining an air temperature data time sequence, a user heat demand data time sequence and a heating station operation data time sequence; based on the time sequence of the user heat demand data and the heating station operation data, the deviation ratio of heating of the heating station and the user heat demand is calculated, a load time period set is obtained, and when the distribution condition of a preset type of load scheduling time period does not meet the requirement, the next step is executed; dividing the time periods in the load time period set into complementary demand time periods and adjusting demand time periods according to the deviation degree of heat supply of the heating station and the heat demand of the user. According to the method, the multi-energy complementary strategy is optimized by using the SSA-LSSVM intelligent optimization model, so that the multi-energy cooperative operation efficiency of the heating station is improved, and the adaptability of a heat supply system to climate change and load fluctuation is enhanced.

The utility model discloses a pet water dispenser, including host computer, be used for external water purifying water purifying tank, be used for sewage disposal sewage tank, drinking water tray, drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism, the drinking water tray sets up in the sewage tank top, the drinking water tray with drive mechanism connects, drive mechanism is used for driving drinking water tray rotates along horizontal axis, to pour the water in drinking water tray into sewage tank, circulating water supply mechanism is used for the water purifying tank in with drinking water tray is delivered, filter mechanism installs in sewage tank is used for filtering the sewage that drinking water tray pours out, the cleaning mechanism is used for removing the dirt on the surface of drinking water tray, the host computer is equipped with with drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism electric connection's controller. The problem such as need artificial adding water source, water source is not clean etc. that traditional pet water dispenser exists has been solved.

The application discloses a Tibetan prosody structure prediction method based on syntax information, relates to the technical field of speech synthesis, and is applied to the prosody structure prediction field in Tibetan speech synthesis. The Tibetan prosody structure prediction method based on syntax information comprises the following steps: S1, Tibetan text analysis and virtual word connection quantization are completed, syntax probability, hierarchical focus and pause difference are extracted, and a Tibetan prosody prediction database is stored and constructed after preprocessing; S2, boundary discrimination is performed based on virtual word connection relationship strength, influence range hit marking and word sequence distance; S3, entropy feature analysis is performed through syntax role probability data and boundary determination data; S4, three-layer prosody boundary type sequences are generated according to boundary assignment, and over-dense pauses are inhibited; and S5, rhythm intensity evaluation is performed through pause duration difference and syntax information entropy data. The problems of pause confusion and increased understanding burden caused by the misplacement of prosody and semantic hierarchy in Tibetan long speech synthesis are solved.

The invention discloses a distributed DTU-based power distribution network slow-action fault response and collaborative reconstruction system, and relates to the technical field of power distribution systems. Abnormal event data of a power distribution network are automatically grabbed, timeline consistency analysis is carried out in combination with a topological structure of the power distribution network, then a time overlapping region of a slow-action response window of each DTU is judged, and a preliminary DTU set is formed; performing automatic identification, hierarchical monitoring and dynamic slow window adjustment on the time domain linkage relationship between the DTUs in the set; and then, performing dynamic correction on a slow motion window of a communication branch corresponding to each DTU set in the high-risk time coupling group, implementing neighborhood consistency verification and synchronous confirmation before execution of a slow motion fault response action, and ensuring coordinated triggering and execution of the action in the slow motion window through delay execution and idempotent control. DTU action conflicts in a high-risk time coupling group can be effectively avoided, time peak shifting and rhythm coordination of response actions are achieved, and the safety and reliability of power distribution network fault response are improved.

The invention relates to the technical field of gas explosion risk assessment, in particular to a gas explosion risk assessment method based on combined weighting. The method comprises the following steps: constructing a gas explosion risk evaluation index system; respectively calculating the subjective weight and objective weight of each index, constructing a multi-objective optimization function with the minimum subjective and objective deviation and the minimum marginal contribution difference as targets, and solving the combined weight of each index by using a particle swarm optimization algorithm and a game theory method; dividing risk grades, and constructing a standard cloud model of the gas explosion risk; constructing a comprehensive cloud model of the gas explosion risk; and taking the risk level corresponding to the standard cloud closest to the comprehensive cloud model as the gas explosion risk level of the coal mine to be evaluated. According to the gas explosion risk assessment method based on combined weighting, the risk level of the coal mine to be assessed can be accurately determined, and the accuracy of the assessment result is improved.

The utility model relates to the field of home lighting, especially a floor lamp, the floor lamp includes support subassembly, sets up locking piece on support subassembly and sets up the lamp on locking piece, support subassembly includes through setting attached inner and outer thread structure at the junction, the base, first support rod, second support rod and third support rod connected in proper order, locking piece is configured at the junction of third support rod and lamp bottom and is detachably fixed, and the integrated layout of locking piece, inner and outer thread structure and electric wire hides in the inside of support rod, makes the overall appearance present smooth cylindrical form, the utility model solves the problem that the floor lamp structure is complex, inconvenient to disassemble and assemble, and the appearance is not beautiful in the prior art, realizes convenient disassembly and assembly, saves packaging transportation space, improves maintenance efficiency and the convenience of part replacement, and simultaneously realizes simple and smooth and beautiful texture of lamp whole modeling.

The invention relates to the technical field of power dispatching, in particular to a power balance control method and system for a high-proportion new energy direct current group delivery system, and the method comprises the steps: building an equivalent virtual inertia model of the direct current group delivery system based on time imbalance characteristics, and determining a feasible time window of the power response of the direct current group delivery system; and performing time reconstruction on the power instruction of each direct-current line to obtain a reconstructed power instruction, and performing power scheduling on each direct-current line of the direct-current group delivery system. According to the method, the equivalent virtual inertia model is constructed by analyzing the imbalance characteristics of the new energy output and the direct current group outgoing power, and the power of each direct current line is reconstructed and scheduled on the premise of keeping the total energy conservation, so that the power balance and the dynamic response capability of the system are remarkably improved, the direct current line distribution is optimized, and the overload risk is reduced.

This invention discloses a method and system for flexible educational resource scheduling based on microservice orchestration, relating to the field of educational resource scheduling technology. This method acquires educational resource data (including educational support resource data and user behavior data) for a designated educational platform within a set period; analyzes the platform's resource elasticity feature set (including educational resource supply characteristic values ​​and educational demand intensity characteristic values) based on the platform's resource elasticity feature set; and analyzes the platform's educational resource adaptation characteristic values ​​based on the platform's resource elasticity feature set. This invention performs microservice orchestration resource scheduling on the designated educational platform based on the educational resource adaptation characteristic values, effectively avoiding resource scheduling lag and coarse control, thereby enabling the educational platform to maintain refined resource allocation under different load conditions.

The present application relates to the technical field of power analysis, and discloses a Monte Carlo-DBSCAN-PADM long-term provincial source-load dynamic probability balance calculation method, system, equipment and medium, which comprises the following steps: collecting power grid data and performing data cleaning, and setting power grid parameter constraint conditions; generating a source-load full amount uncertainty scenario through Monte Carlo simulation, extracting key features, and clustering the standardized scenario feature vectors; setting a multi-objective function, adjusting the target priority through a weight coefficient, and constructing a source-load dynamic probability balance optimization model; solving the model, and generating a source-load dynamic probability balance result. The present application fully covers the random fluctuations of the source-load double sides, overcomes the defects of the scene missing of the traditional deterministic method, retains the key fluctuation characteristics, greatly reduces the calculation complexity, realizes the parallel solving of sub-problems, and solves the difficulty in solving the multi-constraint and multi-year continuous hour-level problem of the provincial power grid.

The application relates to the technical field of rail transit detection, and particularly discloses an integrated intelligent detection system for a contact network based on multi-sensor fusion, which comprises a multi-source heterogeneous sensor array, an edge computing gateway, a data fusion and feature decoupling center, an interpretable fault diagnosis engine and a decision and visualization platform. Through a cross-modal attention fusion network and a variational autoencoder feature decoupling module, deep and interpretable data fusion is realized, fault features are decoupled into independent factors corresponding to different physical modes, and accurate classification, positioning and evaluation are carried out by the diagnosis engine. The application improves the transparency, accuracy and early warning capability of fault diagnosis.

The invention discloses an energy router coordination control system, method and device and a medium, and relates to the technical field of direct current distribution networks, and the energy router coordination control system comprises an I-path AC 10 kV and an II-path AC 10 kV; the I-path AC10kV is connected to the power adapter 1, one end of the output end of the power adapter 1 is connected to the DC750V bus, and the other end of the output end of the power adapter 1 is connected to the dual-power quick change-over switch 2; the path II AC10kV is connected to a box transformer substation 3, one end of the output end of the box transformer substation 3 is connected to an AC-DC converter 4, the other end of the output end of the box transformer substation 3 is connected to a dual-power quick change-over switch 2, and a 500kW converter 4 is connected to a DC750V bus; and the dual-power quick change-over switch 2 is connected to an AC 380V bus. By introducing a dynamic virtual impedance adjusting mechanism, the circulating current problem in parallel operation is effectively suppressed, and the stability of bus voltage and power distribution is improved.