6results about How to "Full potential" patented technology

The invention belongs to the technical field of signal investigation, and particularly relates to a small unmanned aerial vehicle investigation system and method based on weak signals, and the system comprises a radio monitoring module, an investigation positioning module, a control module, a sound wave monitoring module, a sound wave amplification module, a sound wave equipment information module, a scheme refining module and an effect ratio module. Through the arrangement of the sound wave monitoring module, when weak signals in the investigation range are monitored, not only can the electromagnetic environment when the weak signals appear be monitored, but also the fluctuation environment when the weak signals appear can be monitored, so that the unmanned aerial vehicle can be investigated more accurately, a user can customize a sensitive threshold value, and the detection accuracy is improved. The method adapts to different investigation scenes and requirements, can improve the attention and investigation effect on specific weak signals, can obtain the information and precision of different sound wave monitoring devices, can generate a precision compensation scheme and analyze a matching value, can give full play to the potential of the devices, and can avoid resource waste while improving the monitoring precision.

The invention provides an anti-pinching claw structure of a numerically controlled lathe for processing plastics, which relates to the technical field of plastic processing equipment and comprises a claw plate, wherein fixed cylinders are evenly and equidistantly fixedly installed inside the claw plate, four side walls of the fixed cylinders are each provided with a first slide groove, a mounting frame is fixedly installed on the side wall of the claw plate, a driving motor is fixedly installed in the inner wall of the claw plate, a fixing bar is fixedly installed on the output shaft of the driving motor, and a fixed plate is fixedly installed on the side wall of the claw plate away from the mounting frame; an adjusting mechanism is slidably installed inside the four first slide grooves; the adjusting mechanism comprises an inner cylinder, four inner cylinders are respectively slidably installed in the four first slide grooves, connecting rods are arranged between the four inner cylinders, and the slide frame can be moved inside the clamping plate according to the size of the plastic product to be grasped before grasping, so that the clamping plate has a rebound space when grasping the plastic product, effectively avoiding hard contact between the claw and the plastic product to cause damage, and enhancing the service life of the claw.

The present disclosure provides a data processing method, device, equipment and medium for precipitation forecasting. The data processing method for precipitation forecasting includes: determining an inverted precipitation rule based on historical precipitation data, and determining at least one precipitation index based on current precipitation data; obtaining at least one current inverted precipitation data corresponding to at least one precipitation index based on the inverted precipitation rule; and processing the current inverted precipitation data to determine the average precipitation forecast data corresponding to the current precipitation data. It can be seen that the above method can be based on the objective precipitation forecast method of the terrain following coordinate system of at least one precipitation index numerical forecast, give full play to the prediction potential of the numerical model, improve the accuracy of the numerical model precipitation forecast, so as to improve the precipitation forecast level or ability in steep mountainous areas and river basins.

The invention discloses a difference planning human resource management system based on block chain encryption, and the system comprises a data collection module which is used for collecting the basic information, work performance, skill level and training experience data of employees; the difference analysis module is used for analyzing the collected data and finding out differences among employees, including ability differences and occupational development demand differences; the planning making module is used for improving the data security according to the difference analysis result and the difference planning human resource management system based on block chain encryption, ensuring the security and non-tampering of employee data by adopting a block chain encryption technology, and preventing data leakage and tampering; according to the difference planning human resource management system based on block chain encryption, difference planning is realized, personalized occupational development plans and training plans are made according to the difference of employees, the potential of the employees is fully played, and the work enthusiasm and satisfaction of the employees are improved.

The application discloses a kind of virtual power plant distributed resource group control group regulation systems of virtual power plant technical field, comprising: virtual power plant regulation platform, deployment is in power company dispatching center, for according to the operation of power grid, issue plan adjustment demand and real-time adjustment command;Aggregator, for the total adjustable capacity and real-time total power of distributed resource reported by distributed resource group control group regulation terminal according to the overall adjustment of distributed resource, and according to the integrated distributed resource, plan adjustment demand and real-time adjustment command are decomposed, obtain the resource regulation requirement of each described distributed resource group control group regulation terminal, and issue to corresponding distributed resource group control group regulation terminal;Distributed resource group control group regulation terminal, for real-time calculation the total adjustable capacity and real-time total power of distributed resource in current jurisdiction range and report it to aggregator, and according to resource regulation requirement, select suitable distributed resource to carry out regulation.

This application discloses a human resource allocation method and system based on multi-source employment demand, relating to the field of knowledge graph technology. The method includes: acquiring employment task types and multi-dimensional task demand information; obtaining family-of-tasks and family-of-task demand information; and extracting neighboring task groups and neighboring task demand information groups; generating multi-dimensional capability parameters; processing and acquiring human resource matching degree, matched human resource information, and matched multi-dimensional capability parameters; and extracting neighboring human resource information groups and neighboring multi-dimensional capability parameter groups; performing derivative task matching analysis to obtain derivative human resource matching degree; and optimizing human resources based on the human resource matching degree and derivative human resource matching degree to obtain optimal human resource information for allocation. This application solves the technical problems of existing human resource allocation methods lacking the ability to predict potential derivative tasks and exhibiting information silos between the human resource database and the task database, leading to low matching efficiency and accuracy.