6results about How to "Avoid uploading" patented technology

This invention discloses a time-constrained, secure, and controllable data flow method in a cloud-edge environment, belonging to the field of mobile edge cloud computing. Specifically, it involves: First, establishing a communication scenario including an authorizing agency for both the sender and receiver, the sender, edge nodes, a cloud server, and the receiver. Given security parameters, the authorized agency for the receiver runs a global initialization algorithm, outputting public parameters and domain public / private keys. Then, the authorized agency for the sender inputs the public parameters and domain public key, outputting its own domain public / private key. For each sender, an access structure and a valid time interval are assigned, and an encryption key is generated. For each receiver, an attribute set is assigned, and a decryption key is generated. Finally, the sender runs the encryption algorithm and outputs the original ciphertext; the edge node verifies the sender's sending authority and outputs the cleaned ciphertext; and the legitimate receiver decrypts and outputs the plaintext. This invention meets the requirements for secure and controllable data flow in a cloud-edge environment.

The present disclosure provides a vehicle data uploading method, a vehicle data report generation method and equipment, and belongs to the technical field of Internet of Vehicles. The vehicle data uploading method is applied to a vehicle terminal, and comprises the following steps: receiving a connection request sent by a mobile terminal and containing an engine number; sending a response request of the connection request; receiving a data request of a selected function mode sent by the mobile terminal; acquiring message data corresponding to the selected function mode from an ECM based on the data request of the selected function mode; and uploading the message data corresponding to the selected function mode to the mobile terminal. Through the cooperative work of the vehicle terminal and the mobile terminal, the present disclosure realizes efficient and safe uploading of vehicle data, and provides strong support for user services such as vehicle health maintenance, new vehicle registration and vehicle annual inspection.

The application relates to the technical field of cloud edge cooperation, in particular to a cloud edge cooperation management system for a control center. A preprocessing unit is used for generating a plurality of fault prototypes according to fault data of edge nodes and constructing a global fault library on a cloud node; a fault unit is used for setting an edge fault library and detecting fault prototypes; the fault unit comprises a node clustering module, which is used for dividing the edge nodes into a plurality of node clusters and deriving an edge fault library of each edge node from the global fault library; a preloading module is used for comparing running parameters of the fault prototypes with real-time running data, and a repair strategy is loaded when a similarity threshold is reached; an edge detection module is used for detecting the edge fault library after detecting a fault; a global detection module is used for bidirectional scanning detection of corresponding fault prototypes in the global fault library; and a repair unit is used for repairing. The problems of slow fault detection speed and high cloud resource occupation are solved.

This application provides a method for determining the positions of key points on a display device and the human body. This method eliminates traditional dedicated hardware such as sensors / radar during user posture data acquisition and processing, collecting data solely through a camera and directly acquiring the video stream using WebRTC technology natively supported by the browser, without requiring additional equipment. The human posture recognition model is integrated into the user device using TensorFlow.js, enabling on-device inference and avoiding data uploads to the cloud, thus eliminating transmission latency at its source. Model inference is completed on the browser side, accelerated by a web graphics library to improve processing efficiency and ensure real-time performance. The approximate positions of key points are located using the maximum probability of a heatmap, and then corrected using offsets to improve the positioning accuracy of human key points, further optimizing transmission efficiency and solving the problem of data transmission latency and its impact on transmission efficiency in current user posture data acquisition and processing.

The invention discloses a data security controllable flow method supporting time constraint in a cloud edge environment, and belongs to the field of mobile edge cloud computing. The method specifically comprises the following steps: firstly, establishing a communication scene comprising a sender / receiver authorization mechanism, a sender, an edge node, a cloud server and a receiver; and giving security parameters, operating a global initialization algorithm by the receiver authorization mechanism, and outputting public parameters and domain public / private keys. Then, the sender authorization mechanism inputs a public parameter and a domain public key, and outputs a domain public / private key of the sender authorization mechanism; for each sender, an access structure and an effective time interval are allocated to the sender, and an encryption key is generated. For each receiver, a set of attributes is assigned to the receiver and a decryption key is generated. And finally, the sender operates the encryption algorithm to output the original ciphertext, the edge node verifies the sending authority of the sender and outputs the purified ciphertext, and the legal receiver decrypts and outputs the plaintext. According to the method, the requirement of safe and controllable flow of data in the cloud edge environment is met.

This application relates to a method, system, device, and medium for real-time person-finding and collaborative monitoring in intelligent buildings, belonging to the field of smart property management technology. The method includes: receiving a target person-finding request; allocating the request to at least one edge computing node as a tracking node based on the load status of the edge computing nodes; controlling the allocated node to acquire video streams, Bluetooth beacon signals, and RFID signals within the coverage area; acquiring facial features extracted locally from the video stream by the node, and fusing them with the Bluetooth beacon and RFID signals in a multimodal manner to generate the target's real-time location; adjusting the video stream acquisition resolution and frame rate based on the confidence level of the facial features and the strength of RFID signals from adjacent floors; receiving the real-time location reported by the node, and generating the target's movement trajectory accordingly. This application can reduce system response latency, reduce network bandwidth usage, and improve positioning accuracy in complex environments.