14results about How to "Avoid uploading" patented technology

The invention relates to the technical field of privacy protection, in particular to a privacy data protection method and device, a vehicle and a medium, and the method comprises the steps: obtaining a switching instruction of a user for a full privacy mode; according to the switching instruction, the vehicle is controlled to disconnect a target uploading channel with the cloud, so that the vehicle enters a full privacy mode, and the target uploading channel is used for uploading privacy data of the user; and the privacy data of the user is protected by using a full privacy mode. Therefore, the problems that in the prior art, the cloud data uploading leakage risk exists, and cloud data deletion is not instant are solved.

The invention provides a data transmission method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of Internet of Vehicles. The method comprises the following steps: determining an abnormal time period based on a driving speed of a first vehicle, a traffic jam state and position information of a next network abnormal area; in response to determining that a preset third moment for uploading the data next time is in the abnormal time period, determining a first duration required for uploading the first data information to the cloud based on the current network state and the size of the first data information to be uploaded to the cloud; and sending the first data information to the cloud at the fourth moment based on the first moment, the second moment and the first duration. According to the method, data synchronization can be successfully carried out.

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 invention relates to the technical field of production management, in particular to an SAP-based material inventory management system, which comprises a material inventory checking module, a material shortage production pre-work module, a material waiting area storage module, a manual material picking assembly module and a material waiting area assembly module, the material inventory checking module comprises a material prediction model and is used for checking whether the material inventory meets the material demand quantity in the work order task or not and forming a material list; if not, additionally generating a material shortage signal and a material shortage list; the material shortage production forecasting module is used for executing forecasting and completing material shortage assembly; the material waiting area storage module is used for pushing the products subjected to material shortage assembly out of the production line to a material waiting area and binding the positions of the products; and the material waiting area assembling module is used for further material assembling of the products subjected to material shortage assembling. Through the management system, the technical problem of how to efficiently and accurately meet production task requirements under the normalized condition of material shortage in the production process is solved.

The present invention relates to a cross-platform joint development method and system, the method comprises the following steps of establishing a code cloud packaging mode and establishing a code offline packaging mode, wherein a joint developer develops a software project on a computer software, exports a resource file, puts the exported resource file into a local computer or a local server, and does not upload the resource file to a cloud platform, encrypts the exported resource file, adds a section of code to the encrypted resource file, and another joint developer obtains the resource file and needs to obtain authorization before opening the resource file; the joint developer selects a code cloud packaging mode or a code offline packaging mode according to the security level of the software project. Different from the prior art, it can effectively avoid uploading data to a cloud server, avoid the problem of easy loss of source code, effectively improve the security of the source code, and adopt the dual protection of encryption processing and authorized development.

The present invention relates to the technical field of excavator data information transmission, and specifically, to an excavator Tbox device data frame reporting and parsing algorithm, comprising the following steps: S1: the Tbox device accesses a vehicle networking gateway platform through a fixed external network mapping address, and sends the collected data information to the vehicle networking gateway platform; S2: the vehicle networking gateway platform determines whether the data format uploaded by the Tbox device meets the requirements through the data upload format, wherein data that does not meet the format requirements is rejected; in summary, the beneficial effects of the present invention are: the present invention simplifies the data stream upload process, improves the upload efficiency, and effectively reduces the failure rate, specifies the device data upload format during the upload, prevents malicious device data from being uploaded, and improves data authenticity, the byte stream parsing method improves the data parsing accuracy, reduces the network interaction process, and facilitates timely viewing of the vehicle operation status and timely troubleshooting.

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 invention discloses an embedded people counting method and system based on a double-model architecture, and the method comprises the following steps: S1, building a first model and a second model, S2, carrying out the detection of people through the first model, and S3, carrying out the counting of people through the second model. By designing a lightweight model and deploying the lightweight model in the ARM architecture MCU, low-power-consumption and low-cost embedded system edge computing is realized, the system completes data processing and computing locally, and data is prevented from being uploaded to a cloud server, so that the data security is effectively improved; in addition, double-model construction is adopted, so that the system performs figure detection by using the first model in an unmanned state, rapid reasoning is realized, invalid consumption of computing resources is remarkably reduced, and the overall power consumption is further reduced.

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.

The invention belongs to the technical field of intelligent logistics, and particularly relates to a visual reduction degree verification method, system and device and a medium, and the method comprises the steps: responding to a visual reduction degree test instruction triggered by a user: starting a corresponding plug-in or application; wherein the plug-in or the application is suspended on the upper layer of the client; displaying a to-be-tested page selected by the user; searching and displaying a corresponding design draft from a picture library of the plug-in or the application according to the to-be-tested page, and adjusting the size of the design draft according to the resolution of the current equipment of the client; wherein the design draft is a standard picture of the page to be tested; and comparing the to-be-tested page with the design manuscript covering the to-be-tested page so as to perform a visual reduction degree test.

The present application discloses a data processing method, device, system, equipment, storage medium and program product, the method includes: constructing a privacy computing task based on the metadata of a data set provided by a data partner; sending the subtask to the computing node bound to the participant to which the target data set belongs according to the target data set involved in the subtask disassembled from the privacy computing task; wherein the participant is a data user or a data provider, and the computing node is a node locally deployed by the participant for executing tasks, and the computing node can access the original data of the target data set to execute the task; sending the execution result of the privacy computing task to the data user according to the execution result of the subtask returned by the computing node. By combining the cloud platform capabilities and locally deployed computing nodes to realize the processing of privacy computing tasks, sensitive information is avoided from being uploaded to the cloud, the risk of data leakage is reduced, and the availability and security of privacy data processing are improved.

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.