5results about How to "Achieve management control" patented technology

The utility model relates to intelligent data gateway equipment which can be conveniently combined and installed. Most of the existing controllers and sensors adopt RS-485 and LoRa communication technologies, need broadband use, and are single in function and free of linkage control. The device comprises a housing, a circuit board, an antenna, a touch switch, an indicating lamp and the like, the middle parts of the two sides of the housing are respectively provided with a groove in the longitudinal direction, the lower groove is provided with a transverse plate and a combination installation hole, and a plurality of combined devices can be assembled through a connecting rod; a circuit board is arranged in the shell, and an antenna pedestal, a communication indicating lamp, a touch switch, a DC5.5 female seat and the like are arranged on a panel. According to the invention, the data format packaged uniformly can be uploaded to the cloud, and the data issued by the cloud can be converted into the format which can be identified by the actuator and sent to the actuator for control, so that the functions of automatic node control, self-detection, network disconnection reconnection, data caching and the like can be realized, and a plurality of devices with the same shell structure can be conveniently combined for use. Operation is simple, installation is convenient, and popularization is facilitated.

The present invention discloses a power system peak-shaving demand assessment system, comprising a collection layer, a transmission layer, an edge cloud layer and a management platform; the collection layer is used to collect data; the transmission layer is used to transmit the data collected by the collection layer; the edge cloud layer is used to receive and process data, and the processing of data by the edge cloud layer includes preprocessing and analysis processing; the management platform includes a prediction model, an evaluation model and a visualization module; the present invention quickly processes data through the edge cloud layer to reduce the calculation pressure of the management platform; the management platform includes a prediction model, which predicts power generation through the prediction model, and the management platform includes an evaluation model, which evaluates the peak-shaving process through the evaluation model, and the evaluation and prediction can correspond to each other, so as to facilitate timely regulation when the peak-shaving power is insufficient, and maintain the accurate control of the power in the peak-shaving process.

The present disclosure provides a control method of a radiographic imaging system, a radiographic imaging system and a medium, wherein the method is applied to a local processing unit included in the radiographic imaging system, and the method comprises: acquiring tube state data collected by a sensor assembly, wherein the sensor assembly is physically integrated with a radiographic tube; based on the tube state data, predicting predicted tube state data corresponding to a target scanning task performed by the radiographic tube; performing an adjustment operation on a preset scanning parameter of the target scanning task according to the predicted tube state data to generate a target scanning parameter; and controlling the radiographic tube to perform the target scanning task based on the target scanning parameter. By applying the embodiments of the present disclosure, the working state of the radiographic tube when performing the scanning task can be accurately predicted based on real-time tube state data, and the scanning parameter of the radiographic tube can be dynamically adjusted based on the prediction result, thereby realizing real-time sensing, accurate prediction and intelligent dynamic regulation and control of the running state of the radiographic tube.

The present disclosure provides a service data detection method and device, a computer program product and an electronic device, and relates to the technical field of communication. The service data detection method comprises: in response to receiving a user service request with AI detection demand, querying a UPF supporting AI detection capability, determining a target UPF meeting the user service request from the UPF supporting AI detection capability; and sending access information corresponding to the user service request to the target UPF, so that the target UPF uses AI detection capability to detect user message data matched with the access information. The present disclosure intelligently detects user message data requiring AI detection based on the AI detection capability of the UPF, can improve the message detection capability of the communication network, realizes targeted differentiated strategy, and further improves the service experience of the user.

The invention provides a cloud-side collaborative cloud instrument architecture, an implementation method and an edge gateway, the cloud-side collaborative cloud instrument architecture comprises an edge node, an instrument cloud platform and a cloud instrument application platform, the edge node is used for connecting instrument equipment, providing virtualized computing resources and performing edge computing; the instrument cloud platform is used for deploying a service application, providing a developer platform for a user and carrying out customized development on an instrument function; and the cloud instrument application platform is used for providing terminal user-oriented services and displaying results on different terminal pages. According to the invention, through the edge gateway, an instrument cloud edge collaborative architecture can be realized, the architecture of a traditional desk type instrument and a virtual instrument based on a PC is changed, the instrument does not depend on the PC and a windows operating system any more, while the form of the instrument is changed, the original measurement data root entry is autonomously controllable, and software and hardware are decoupled at an edge node, so that the implementation is convenient. The instrument equipment cost is greatly reduced, and the instrument function is expanded.