49results about How to "Improve rationalization" patented technology

The invention relates to a method for building an intelligent cleaning decision-making system for a photovoltaic power station, which sequentially comprises the steps of building a dust blocking loss calculation subsystem, building a meteorological forecast subsystem, building a generating capacity forecast subsystem and building an intelligent cleaning decision-making subsystem. On the one hand, a more accurate and more representative photovoltaic assembly dust blocking loss ratio is provided through monitoring the dust blocking loss ratio of a dynamic photovoltaic assembly array on the spot based on actual operation and maintenance demands of the photovoltaic power station so as to act as a data basis of decision making, so that the blindness in only relying on intuitive judgment of the operation and maintenance personnel of the photovoltaic power station can be avoided, and a cleaning decision is enabled to possess a quantitative calculation basis; and on the other hand, an automatic algorithm calculation mode is adopted, formulation of a cleaning decision is enabled to have timeliness, and a dynamic cleaning period with maximized profit is provided for the photovoltaic power station.

The invention discloses a hierarchical distributed autonomous collaborative task planning system for an intelligent remote sensing satellite. The system comprises a multi-satellite task coordinator and an on-satellite scheduler, wherein the multi-satellite task coordinator distributes tasks in a task set to be distributed to multiple affiliated intelligent satellites and processes the tasks into meta-tasks which can be directly identified by the on-satellite scheduler; each intelligent satellite utilizes the on-satellite scheduler to carry out uniform scheduling on a new distributed task and an existing task; and before the multi-satellite task coordinator carries out task distribution, a scheduling result on the relevant on-satellite scheduler is estimated in advance and is taken as a basis for task distribution. Key scientific problems and technical problems of imaging task schedulability prediction, multi-task multi-resource dynamic scheduling under a high-dimensional space, refinedplanning and scheduling algorithm design are successfully tackled, a multi-satellite autonomous collaborative task planning technology can be better applied to the field of national defense construction, and the rationalization of a distribution scheme and the high efficiency of resource utilization can be accelerated.

The invention discloses a municipal pipeline construction method based on a BIM technology. The municipal pipeline construction method comprises the following steps of establishing the BIM models of all professional pipelines; performing the corresponding professional verification on the professional pipelines in the BIM models of the professional pipelines; integrating the BIM models of the various professional pipelines after verification; performing collision detection on the integrated pipeline BIM models, and detecting whether a collision point exists or not; if the collision point exists, optimizing and modifying the BIM models of the professional pipelines according to the condition of the collision point, and integrating the optimized BIM models of the professional pipelines; and repeating the above steps until no collision point exists in the integrated pipeline BIM models. According to the method, an optimal building construction scheme is obtained, the engineering risks areavoided, the pipeline construction process is optimized, the collision is reduced, and the efficiency is improved.

The invention relates to a power steering device (1) for an axle assembly (2) provided with a limited-slip differential (7) designed to transmit a drive torque (C5) to a first wheel (4) and a second wheel (6) and to automatically activate, in the event of a loss of synchronism and/or of grip of one of the first and second wheels (4, 6), an operating mode referred to as "lockup mode" in which saiddifferential transfers most of the driving torque (C5) to the slower of the first and second wheels (4, 6), the power steering also comprising a steering mechanism (10) and a power steering motor (17)controlled by a control module (20), said steering control module (20) containing compensation laws which allow the power steering motor (17) to compensate for certain effects, such as alternating load backup or freezing, induced in the steering mechanism by activation of the differential lockup mode, so as to give the driver a feel close to that of an axle assembly (2) that does not have a lockup mode.

The invention discloses a riding training planning method. The method comprises the first step of judging the riding capability of a rider according to historical data of riding of the rider; the second step of determining a route to be ridden, collecting route data of the route to be ridden, and planning a riding distance that the rider can ride on the route to be ridden according to the riding capability. According to the riding training planning method, the riding capability of the rider is obtained through the historical data of riding of the rider, the riding distance that the rider can ride on the route to be ridden is determined according to the riding capability, so that it is guaranteed that the riding distance and the riding capability of the rider are matched, the situations that the training intensity is too much or too less are avoided, and the rationalization of training is improved.

The invention discloses a navigation broadcast mode utility evaluation method and system based on a driving simulation technology. The evaluation method comprises the following steps of constructing anavigation voice broadcast mode utility comprehensive evaluation index system; acquiring index data of evaluation indexes based on the driving simulation technology; analyzing the utilities of different navigation voice broadcast modes on the evaluation indexes of different categories by applying a repeated measures method; and determining an optimal navigation voice broadcast mode under a singlecategory of evaluation index by applying a TOPSIS evaluation method, synthesizing evaluation results of all categories of evaluation indexes by utilizing a grey situation decision-making method, anddetermining the overall optimal navigation voice broadcast mode. According to the technical scheme, the scientification, standardization and reasonability of the voice broadcast of the current navigation market are effectively improved, and meanwhile, the yaw rate of a driver is effectively reduced, the travel experience is enhanced, the road traffic safety is improved, the traffic cost is saved,and the vehicle energy consumption and the exhaust gas emission are reduced.

A method of controlling an antenna signal combiner in a vehicle having multiple antenna elements. The method comprises the steps of receiving broadcast signals from the antenna elements. An antenna beam is steered toward a first steering angle. Navigation data is generated in response to a navigation sensor, the navigation data identifying a relative changes in vehicle direction. The antenna beam is steered toward a second steering angle in response to the relative change in vehicle direction.

The invention discloses an energy scheduling method, device and equipment and a computer readable storage medium, and the method comprises the steps: building a power balance equation, obtaining a target parameter, and building a price model through a conditional risk value method; constructing a day-ahead market target function according to the price model corresponding to the day-ahead market and the target parameters; and obtaining a deviation settlement model according to the target parameter, the spot market transaction rule and the output of the comprehensive energy system in the day-ahead market and the real-time market, constructing a real-time market target function according to the day-ahead market revenue, the price model corresponding to the real-time market and the deviation settlement model, obtaining a real-time operation curve, and controlling the comprehensive energy system to perform operation scheduling according to the real-time operation curve. According to the technical scheme disclosed by the invention, day-ahead market price fluctuation, real-time market price fluctuation and spot market transaction are all considered, so that the reasonability of operation scheduling can be improved, and the economy of the comprehensive energy system can be optimized.

The invention discloses a stock land creation method and belongs to the data processing, creation and application field. The method includes the following steps of: data collection, rearrangement andupdating; data preprocessing; data analysis and comparison; data integration and optimization; stock analysis; and result utilization. With the method of the present invention adopted, difficulties and defects in existing stock land creation technologies are eliminated; a new stock land analysis and creation method is provided; by means of the analysis and utilization of a plurality of data sources, various data are compared, analyzed, integrated and optimized, so that stock land can be generated rapidly and accurately; statistical analysis is performed, and the current characteristics of thestock land can be presented in the form of words, figures, tables, etc.,; related data can be loaded, so that results can be utilized in many ways; and therefore, the current and future value of the data can be increased.

The invention discloses a midpoint generalized watercourse pollution-holding capability risk estimation and planning rationalization promotion method. The method includes the following steps that firstly, whether a pollution-holding river segment planned sewage outlet is suitable for sewage outlet midpoint generalization or not is determined, and the pollution-holding capacity of the river segmentis calculated; secondly, the initial section position x, the standard control section position x' and the initial section pollutant concentration C0 of the river section are determined, and the average flow speed u of the river section and the watercourse flow Q are measured; thirdly, according to the measurement result, the pollutant degradation coefficient k and the uncertainty alpha of the river section are determined; fourthly, the standard pollutant concentration Cs of a control section is determined, and the variance D(W) of the pollution-holding capability of the river section is calculated; fifthly, according to the variance D(W) of the pollution-holding capability and the planned pollution-holding capability, uncertain risks of the watercourse pollution-holding capability are determined, and planning rationalization is promoted by using the result. By means of the method, uncertain risks caused by uncertain degradation coefficient in a watercourse to pollution-holding capability calculation can be effectively estimated, watercourse water quality planning rationalization is promoted, and the method is easy to popularize in various kinds of watercourse water quality management.

The invention provides a novel grey correlation classifier design method comprising the following steps: a grey correlation classifier is designed by use of a gray correlation algorithm; and the initial images of the sequences of the behavior of a system are normalized and equalized, different identification coefficients are given to different signals, and therefore, the ability to restrain the identification coefficients is improved by use of an adaptive identification coefficient.

The embodiment of the invention discloses a data processing method and a related device, which can be applied to a cloud server; the invention at least relates to machine learning in artificial intelligence, and comprises determining a state probability of a target account in an (i + 1) th period according to user feature data of a vehicle in an ith period, that is, whether the user behavior of the target account passing through the ETC system in the ith period is qualified or not influences the size of the state probability. As the state probability reflects the possibility that the target account is added into the ETC blacklist in the (i + 1) th period, the discount distribution weight of the target account in the (i + 1) th period is obtained based on the state probability for discount levels identifying different discount rates, and the comprehensive discount rate of the target account in the (i + 1) th period is determined according to the discount distribution weight and the discount levels, and therefore, the discount rate of the user corresponding to the ETC in the next period can be determined, and the discount rate can be displayed through an electronic map application in terminal equipment such as a vehicle-mounted computer. Therefore, the discount rate system of the ETC system is more reasonable, and traffic jam is reduced.

A Digital Power-Amplifier (DPA) system includes a power amplifier (PA) circuit having control inputs and an output for generating output signals, and an adaptive control circuit that comprises an input interface, an output interface, a memory storing an adaptive control algorithm and a processor performing instructions based on the adaptive control algorithm in connection with the memory, wherein the input interface receives input-state signals and output signals of the DPA circuit, wherein the adaptive control algorithm determines, in response to the input-state signals and the output signals, control parameters of control signals transmitted to the control inputs from the output interface for controlling operations of the DPA circuit.

The invention relates to the technical field of LED display, and discloses an LED display system based on cloud platform management and Internet of Things control, comprising: a plurality of LED screens used for displaying image data and connected with an Internet of Things terminal; the Internet of Things terminal is in signal connection with Internet of Things routers, and the Internet of Thingsrouters in different areas are in signal connection; the Internet of Things router is connected with a cloud management platform; the cloud management platform is connected with a plurality of distributed computing platforms; wherein the distributed computing platform is in data connection with at least one Internet of Things router, the Internet of Things router uploads target data to the distributed computing platform, and the distributed computing platform reads a target area of the target data and then issues the target area to the distributed computing platform in the target area with the highest network speed according to the network speed in the distributed computing platform. On-site personnel does not need to be arranged at the Internet of Things terminal to manage the display content, meanwhile, the replacement speed of the image data on the LED screen can be increased, and the timeliness of image data display is improved.