5results about How to "High reliability transmission" patented technology

The application discloses a high-reliability multi-node cooperative in-situ communication system and method. The system comprises multiple transceivers, one of which is a master node and the rest are slave nodes. The master node comprises a channel collision management and control demodulation and signal modulation unit, a digital AGC compensation control unit, a special working condition signal-to-noise ratio switching unit and a process autonomous ending unit. The slave nodes each comprise a signal transmitting unit, a signal receiving unit and a control unit. The application realizes effective screening and control of multiple access nodes in deep space exploration activities such as lunar exploration, solves the problem of advanced planning caused by a large number of nodes in the lunar near space, and maximally supports flexible communication between lunar nodes.

This invention discloses an orthogonal frequency division multiplexing (OFDM) transmission method based on dirty paper coding, belonging to the field of wireless communication technology. At the transmitting end, at least two layers of frequency domain symbols to be transmitted are generated. A first-layer OFDM signal is generated from the first-layer frequency domain symbols and non-negatively clipped in the time domain to generate first-layer clipped noise. The cumulative clipped noise from the first layer to the (h-1)th (h≥2)th layer is used as interference signal to perform dirty paper coding pre-coding on the h-th layer of the frequency domain symbols to be transmitted, generating pre-coded frequency domain symbols, and then generating the h-th layer OFDM signal. The OFDM signals of each layer are superimposed and transmitted. At the receiving end, after performing a fast Fourier transform on the received signal, the received frequency domain symbols of each layer are extracted from the received frequency domain signal and decoded independently. This invention eliminates deterministic interference between layered signals through dirty paper coding pre-coding at the transmitting end, eliminating the need for serial interference cancellation at the receiving end, avoiding error propagation problems, and significantly reducing the computational complexity at the receiving end.

The utility model belongs to bus communication technology, specifically relates to a CAN bus communication equipment and communication system, wherein CAN bus communication equipment includes: microcontroller module, signal isolation module, serial port data processing unit, one end is linked with microcontroller module, the other end is as the receiving end of CAN bus communication equipment, CAN bus unit, one end is connected with microcontroller module through signal isolation module, the other end is as the sending end of CAN bus communication equipment, and first input channel pin, second output channel pin of signal isolation module are connected with serial port signal sending pin, serial port signal receiving pin of microcontroller module electricity respectively, and its first output channel pin, second input channel pin are connected with CAN signal input pin, CAN signal output pin of CAN bus unit electricity respectively.

This invention discloses an IoT-based MES management system, specifically relating to the fields of industrial automation and information technology. The invention comprises a four-layer architecture: a perception layer, a network layer, a platform layer, and an application layer. The perception layer utilizes various types of IoT sensing terminals to achieve high-precision, multi-dimensional data acquisition across the entire production process. The network layer constructs a heterogeneous converged communication architecture, ensuring millisecond-level high-fidelity data transmission and enabling intelligent traffic scheduling and in-depth security protection. The platform layer integrates multiple modules to complete terminal management, data storage and processing, equipment health prediction, and digital twin visualization. The application layer, based on real-time analysis and prediction results, dynamically optimizes production scheduling and resource allocation through intelligent algorithms. This invention solves the problems of data silos, scheduling lag, and lack of predictive control in traditional MES systems, achieving full-process digitalization, visualization, and intelligence in production, significantly improving production efficiency and management level.