11results about How to "Guaranteed responsiveness" patented technology

The invention discloses a knowledge index and text generation control method and system for retrieval enhancement generation. The method relates to the technical field of retrieval enhancement generation and comprises the following steps of knowledge index accuracy evaluation, index accuracy intelligent regulation and control, text generation timeliness evaluation and generation timeliness intelligent regulation and control. According to the method, the knowledge index accuracy is evaluated based on the index accurate parameters, and if the knowledge index does not reach the standard, the semantic relevance and the result effectiveness are regulated and optimized in a self-adaptive mode through the window width and the effective proportion. And then, evaluating the text generation timeliness based on generation timeliness parameters, if the text generation timeliness does not reach the standard, dynamically managing dialogue memory and load by updating a rate threshold value and performing adaptive regulation and control of a response period, preferentially guaranteeing the response speed and continuity, and finally performing a text generation verification link. The control timeliness of the knowledge index generated by retrieval enhancement and the text generation is improved, and the problem that the control timeliness of the knowledge index generated by retrieval enhancement and the text generation is low in the prior art is solved.

The application relates to the hair dryer technical field and provides a hair dryer with a rear-mounted temperature controller, which comprises a hair blowing head, a heating assembly and a temperature controller arranged in the hair blowing head; the heating assembly comprises a heating wire support and a hollow heat insulation cover, the first heating wire is wound around the outer periphery of the heating wire support, and the hollow heat insulation cover is arranged on the outer periphery of the first heating wire; the temperature controller is arranged in the hollow heat insulation cover and located at one end of the heating assembly far from an air outlet, and the side of the temperature controller far from the air outlet is provided with the second heating wire; a handle is arranged in the handle and is connected with the hair blowing head in communication, and the air making assembly is used for supplying air to the hair blowing head. According to the application, the temperature controller is arranged at one end of the heating assembly far from the air outlet, and the second heating wire is arranged at the side of the temperature controller far from the air outlet, so that the reaction sensitivity of the temperature controller is ensured, the interference of the temperature controller on the airflow in the hair blowing head is reduced, and the airflow noise is reduced.

The present application relates to the technical field of medical detection, and particularly relates to a high-hook-capability and anti-interference HBP detection kit, which comprises R1 reagent and R2 reagent; 3-[3-(cholylamido propyl) dimethylamino] propanesulfonic acid inner salt and sodium dodecyl sulfate are used to prepare the reagent R1, and by adjusting the use ratio of the two, the mutual cooperation of the two can ensure the reaction sensitivity of the reagent and improve the anti-interference performance of the reagent; two kinds of latex microspheres with different particle sizes are used to coat two kinds of HBP antibodies with different antigen recognition epitopes in the reagent R2, which can not only ensure that the reagent has a wider detection range in the high value area and improve the hook capability, but also ensure the sensitivity of the kit; the activation system adopts the method of combining two activators of NHS and EDC, which can effectively improve the coupling efficiency. Meanwhile, the present application also provides a preparation method of the high-hook-capability and anti-interference HBP detection kit, which does not need centrifugation and resuspension operation steps, and the method operation is simpler and the production cost is lower.

This invention discloses a collaborative scheduling system and method for driving and charging of connected heavy-duty vehicle clusters, relating to the technical field of intelligent management. The system includes the following steps: calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster; calculating the vehicle cluster's transport capacity and transport efficiency; establishing a first mapping relationship and a second mapping relationship to obtain discrete transport capacity and discrete transport efficiency; matching collaborative vehicles; verifying the collaborative vehicles; and executing a first operation. This invention, by calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster, more accurately predicts and plans the driving and charging needs of vehicles. Based on historical freight data and real-time order information, it allocates vehicle resources more rationally. Through collaborative scheduling, it reduces fuel consumption and electricity costs, reduces vehicle wear and maintenance costs, improves the response capability to emergencies by establishing mapping relationships and discretization analysis, and reduces idle time and improves vehicle utilization efficiency through intelligent scheduling.

The application relates to the cable technical field, and aims to provide a high-flame-retardant cable which comprises a cable core and a plurality of flame-retardant mechanisms arranged at the outer side of the cable core in the length direction and spaced apart, and a filling strip arranged between adjacent flame-retardant mechanisms; the flame-retardant mechanisms and the filling strip are wrapped at the outer side of the cable core through a binding belt, and an outer sheath layer is arranged outside the binding belt; an elastic opening component is arranged between two adjacent flame-retardant strips, and the elastic opening component can be accommodated between the flame-retardant strips before a pressing ring is burnt off; after the pressing ring is burnt off, the elastic opening component can be opened along with the lifting action of the flame-retardant strips and continuously apply a pushing force to the flame-retardant strips; and the elastic opening component can partially fill the space between the adjacent flame-retardant strips after the flame-retardant strips are completely lifted. After the sheath layer and the binding belt of the cable are burnt, the flame-retardant strips of the flame-retardant mechanisms can be lifted more quickly and stably under the assistance of the elastic opening component, a flame-retardant disc is formed, the response speed is improved, and the spread of the ignition point along the length direction of the cable is avoided.

The invention discloses a printing and dyeing industry digital production scheduling management method and system, which realize full-process digital management of the printing and dyeing industry from order receiving to production execution to optimization feedback, break information islands, and improve data consistency and system integration capability by establishing a unified platform and standardized data. Intelligent production scheduling and real-time monitoring are introduced, the production scheduling efficiency and accuracy are remarkably improved, a closed-loop management system of production scheduling-execution-feedback-optimization is established, and the production management level is continuously improved.

The invention discloses a full-process virtual simulation training method and device based on multi-agent collaboration, and relates to the technical field of virtual simulation. Comprising the following steps: acquiring a training target, dynamically generating a task sequence and an event triggering condition by a plot agent, and constructing a unified world state including an environment state, an object state and a task state by a world agent; in the training process, operation of a student is received, an event engine is combined with a world state to trigger a corresponding event, each agent generates a decision packet based on an updated state, a target decision is obtained through conflict detection and weighted arbitration, and world state updating is completed based on a transaction consistency mechanism; meanwhile, an updating result is fed back to the simulation client side, and the multiple intelligent agents are driven to make circular collaborative decisions; ability vectors are constructed in combination with student behavior data, and dynamic evaluation and training content self-adaptive adjustment are achieved.

The invention relates to the technical field of automatic guided vehicle scheduling, in particular to an AGV scheduling optimization method and system based on task priority and energy consumption. The method comprises the following steps: obtaining a basic priority comprehensive score in combination with a time urgency index and a scheduling waiting time index; dynamically optimizing the basic priority comprehensive score by using a penalty factor to obtain a dynamic priority score; the task clusters are divided according to dynamic priority scores, and the AGVs are pre-allocated according to the division result; and constructing a multi-target scheduling optimization model, and finishing AGV scheduling in combination with the multi-target scheduling optimization model and the pre-allocation result. According to the method, the task priority and the energy consumption model are combined, efficient cooperative scheduling of the multiple AGVs on the spinning vehicle discontinuous yarn piecing task is achieved, the scheduling process and the path planning process are simplified, the workshop automation level and the operation efficiency are effectively improved, and the method has the remarkable advantages of being energy-saving, efficient, intelligent in control and the like.

This invention relates to the field of carbonization equipment technology, and particularly to a carbonization reaction tower, comprising a reaction body with a reaction chamber inside; a mixing module including a distribution component, a mixing component, and a spacer component, the spacer component being disposed in the middle of the reaction chamber, dividing the reaction chamber into a gas flow chamber, a mixing chamber, and a deposition chamber, the mixing component being disposed within the mixing chamber; the distribution component being disposed within the deposition chamber, the distribution component being sealed and connected to the mixing pipe, and the distribution component being connected to the outside via an air inlet pipe; and a circulation separation module being disposed at the bottom of the reaction body, used to cyclone-separate the slurry at the bottom of the reaction chamber and then transport it to the top of the mixing module. The carbonization reaction tower provided by this invention, by forming a mixing pipe with a Venturi structure, significantly enhances the mass transfer process and reaction efficiency, while simultaneously enabling the separation and circulation of the bottom slurry, ensuring the degree of material reaction while preventing equipment blockage.

The application discloses a kind of multi-modal intelligent inspection system and device for oilfield gathering and transportation station, belong to oilfield gathering and transportation station inspection technical field, including data acquisition module, abnormality determination module, station model simulation analysis module, decision analysis and execution module, the data acquisition module, including vibration, temperature, pressure, flow, liquid level, gas, ultraviolet flame, infrared thermal imaging, visible light, depth camera sensor, to gather current oilfield gathering and transportation station process equipment, environmental state, personnel operation behavior data, record sensor acquisition data in near-field edge server and cloud server, the abnormality determination module, eliminate the time difference of acquisition data by space-time alignment algorithm, generate uniform format time sequence health vector.The application discloses a kind of multi-modal intelligent inspection system and device for oilfield gathering and transportation station, can be based on oilfield gathering and transportation station type, carries out multi-modal inspection to oilfield gathering and transportation station, identifies and handles typical exception.

This invention belongs to the field of control technology, specifically relating to a method and system for thermal management control of LED vehicle lights based on multi-source data. The method includes the following steps: acquiring the ambient temperature, vehicle speed, drive current, and drive voltage during LED vehicle light operation; calculating the actual heat generation power of the LED based on the drive current, drive voltage, and non-heating light conversion efficiency constant; using an extended Kalman filter algorithm to fuse the ambient temperature, vehicle speed, drive current, and drive voltage to obtain a filtered and noise-reduced estimated value of the LED junction temperature; calculating the system's comprehensive thermal resistance representing the current heat dissipation condition using the estimated LED junction temperature, ambient temperature, and actual LED heat generation power; and subtracting a preset target LED junction temperature from the estimated LED junction temperature to calculate the temperature error signal. This invention adjusts the heat dissipation system by outputting a control signal, achieving closed-loop junction temperature control, improving temperature tracking control accuracy, and preventing overheating and degradation of the LED vehicle lights.