87results about How to "Reduce traffic costs" patented technology

The invention discloses a high-accuracy position correction positioning system based on cloud computing. The high-accuracy position correction positioning system comprises a client-terminal, a differential server and a differential reference station network formed by multiple differential reference base stations. The differential server is connected with the client-terminal and the differential reference station network via a communication module. The differential server receives single-point positioning information of the client-terminal and real-time pseudo range observation information of the reference base stations. When the client-terminal is insufficient in single-point positioning accuracy and requests to the differential server for high-accuracy positioning, the differential server solves positioning information correction number and a correction satellite set formed by multiple satellites on the basis of the received single-point positioning information and the real-time pseudo range observation information. The client-terminal solves accurate positioning information to perform accurate positioning by utilizing the correction satellite set and the positioning information correction number. According to the correction positioning system, an accurate positioning service can be intelligently, rapidly and accurately provided to the client-terminal so that positioning is rapid and positioning accuracy is high; and the client-terminal acts as a data provider so that the client-terminal is low in computation burden and low in flow consumption.

The invention relates to an automatic testing method, device and system, wherein the automatic testing method comprises the following steps of: communicating with terminals to obtain IP addresses and terminal identification codes of the terminals; according to the terminal identification codes, performing identification and validity check of the terminals; when the terminals pass the validity check, binding the IP addresses to the terminal identification codes, and listing the terminals in a terminal queue to be tested; according to the terminal queue to be tested, respectively sending test instructions to various terminals, and receiving test results fed back by the various terminals according to the test instructions; and counting and analyzing the test results, and generating a test report. The automatic testing method, device and system disclosed by the invention have the advantages of being remote to operate and control and low in big data flow cost; and thus, the test efficiency and the automation degree are increased.

The invention provides a video image transmission processing method and a video image transmission processing apparatus. The video image transmission processing method comprises the following steps: obtaining real-time network state information; selecting a corresponding target video image processing mode from a plurality of predetermined video image processing modes according to the real-time network state information; using the target video image processing mode to process a to-be-transmitted video image; and selecting a target transmission mode from a plurality of predetermined transmission modes according to the real-time network state information to transmit the processed video image to a receiver. By adoption of the technical scheme of the invention, a terminal can flexibly select the image processing mode and transmission mode suitable for the actual condition, thereby avoiding the problem that the real-time network state information cannot satisfy the demands of the image processing mode and transmission mode, resulting in a poor video transmission result, the flow consumption in the transmission process can be reduced in the case of a low network speed or low residual flow, and the image transmission efficiency is improved.

The present invention provides an information transmission method based on image recognition. The method comprises a step of selecting information content which needs to be transmitted and converting the information content into an N-ary image, and a step of scanning the N-ary image, analyzing and obtaining the information content, wherein N is larger than 2. The method is simple to operate, the information transmission of a PC end to a mobile terminal or a mobile terminal to another mobile terminal can be carried out in the condition that a user can not access the network and can not connect a hardware interface, the flow cost of transmitting information by the user is reduced, and a new user information transmission mode is added. At the same time, the invention provides an information transmission system based on image recognition and a mobile terminal.

The embodiments of the present application disclose a method, a device for optimizing a flow pool fee, a computer device and a medium. The method comprises the steps of: obtaining the number of IoT cards of the Internet of Things customers; allocating all the IoT cards in each flow pool by using a greedy algorithm to reduce the cost of the flow pool if the number of the IoT cards does not exceed the threshold; allocating all the IoT cards in each flow pool by using a simplex algorithm to reduce the cost of the flow pool if the number of the Internet of Things cards exceeds the threshold. The flow pool management scheme designed by the flow pool fee optimization model combined with the greedy algorithm and the simplex algorithm can quickly and efficiently reduce the cost of the flow pool.

The invention discloses an application function module starting method and device. The method comprises the steps that when a function-type search instruction is received in an equipment system search, a chained address of a function module corresponding to the function-type search instruction is obtained, wherein the function-type search instruction comprises search keywords corresponding to the application function module; the chained address of the function module is shown; when an operation for starting the function module triggered according to the chained address of the function module is received, the application function module is started. According to the technical scheme, simplification of the operation for starting the application function module is achieved, and the user experience of using mobile equipment is optimized.

The invention discloses a manufacturing resource access platform and method based on cloud edge collaboration. The manufacturing resource access platform comprises an industrial field layer, an edge layer and a cloud service center. According to the method, the OPC UA, the Agent, the cloud edge cooperation technology and the block chain technology are combined, the problems that a traditional manufacturing resource access platform is large in flow and high in time delay are solved, and the requirement for massive device access is met. The block chain is integrated into the manufacturing resource access platform based on cloud edge collaboration, so that the security and trust problems in the resource integration and use process of manufacturing equipment, workshop workers and the like can be solved to a certain extent, and through effective combination of edge calculation and the block chain, the enterprise obtains more capabilities in aspects of controllability, trust, information tracing and the like.

The embodiment of the invention discloses a file pre-push method. The method comprises: a file push notice command is received and used for indicating a first file to be pushed to a first server; whether the first file is pushed to the first server is judged based on the file push notice command and the file push record; and when the detection result is positive, the first file is not pushed to the first server. The method, the server and the system are used for reducing network flow cost, preventing signaling-to-counter point check in every pushing operation, and overcoming technical problems that in the prior art, the flow cost of the pre-push duplicate files is wasted or a large amount of signaling-to-counter point check are consumed.