5 results about "Utility network" patented technology

The invention discloses an intelligent unmanned aerial vehicle flight path planning method and system. The method comprises the steps of environment perception, multi-source feature fusion attention extraction, path utility network training, exploration reward design, time sequence adaptation reward fusion and unmanned aerial vehicle path planning strategy optimization. The invention belongs to the field of path planning, and particularly relates to an intelligent unmanned aerial vehicle flight path planning method and system. According to the scheme, dynamic utility labels are generated, and weights are adaptively adjusted in a task stage; designing an environmental risk factor, actively pre-judging a high-risk area, and keeping a normal weight of a low-risk area; smooth transition of an exploration-target stage is realized; reflecting features of an explored area through neighbor samples, and designing coverage-oriented measure awards to strengthen global coverage orientation; effectiveness attenuation measure rewards are designed, and the collision risk is reduced; global coverage and target guidance are optimized based on time sequence adaptive reward fusion; and the flight path planning effect of the unmanned aerial vehicle is improved.

Techniques for obtaining and processing utility consumption data (e.g., gas, water, electricity, etc.) of a utility network to determine if a violation has occurred with respect to a restriction schedule associated with a service site. By way of example, a number of utility restriction schedules associated with a number of service sites may be generated that indicate, for example, a type of restricted activity and / or event (e.g., irrigation), seasons and / or which days activity is allowed or not allowed, duration activity is allowed, and / or mitigation to take place if a violation is detected. A device (e.g., a smart utility meter, a router, etc.) may monitor utility consumption and detect a particular usage activity (e.g., irrigation) via data disaggregation. The device may compare the activity to the restriction schedule for that particular service site and perform automatic mitigation if a violation is detected.

A method and apparatus for distributing a number of utilities. The number of utilities may be coupled between a number of utility sources and a utility fixture. The number of utilities may be coupled between the utility fixture and a mobile system.

The invention relates to the crossing field of enterprise human resource management and information technology, and specifically discloses a dynamic evaluation and feedback system for employee training effects. The system comprises a behavior sequence modeling module, a dynamic effect evaluation module and an intelligent feedback decision module. The behavior sequence modeling module is used for obtaining the working behavior data after employee training from a business system and generating a quantitative state vector. And the dynamic effect evaluation module constructs a behavior mode evolution trajectory according to the continuous state vectors, and dynamically evaluates the training effect by analyzing the geometric characteristics of the trajectory. And the intelligent feedback decision module generates a personalized intervention instruction through a feedback strategy utility network according to the evaluation result. All the modules are sequentially connected to form a closed loop, and the decision is continuously optimized by utilizing subsequent working behavior data. According to the invention, the continuous evaluation and accurate feedback of the training effect in the conversion process in the actual work are realized.

The application discloses an intelligent unmanned aerial vehicle flight path planning method and system, and the method comprises environment perception, multi-source feature fusion attention extraction, path utility network training, exploration reward design, time sequence adaptive reward fusion and unmanned aerial vehicle path planning strategy optimization. The application belongs to the field of path planning, and specifically relates to an intelligent unmanned aerial vehicle flight path planning method and system. According to the scheme, dynamic utility labels are generated, and the weight is adaptively adjusted in a task phase. An environment risk factor is designed, high-risk areas are actively predicted, and normal weight is kept in low-risk areas. Smooth transition of an exploration-target phase is realized. A near-neighbor sample is used to reflect the features of an explored area, a coverage guidance measure reward is designed to strengthen global coverage guidance, a utility decay measure reward is designed to reduce collision risks, global coverage and target guidance are optimized based on time sequence adaptive reward fusion, and the flight path planning effect of the unmanned aerial vehicle is improved.