5results about How to "Reduce transmission load" patented technology

The application provides a sewing equipment intelligent process identification and piecework method and system, a terminal and a medium. An electric signal converted from mechanical movement of sewing equipment is acquired, and corresponding sewing data based on time sequence is generated according to the electric signal. The sewing data is reduced to two dimensions, including a time interval dimension of each action of a motor in the sewing equipment and a corresponding sewing needle number dimension. The process type of the sewing data is judged, and a process template is determined. The selection of a piecework segmentation point is performed on the sewing data to be segmented according to the motor movement time interval of the process template to perform piecework. The application can identify the process corresponding to the data in a plurality of known process templates, reduces additional manpower, only collects electric signals in a sewing machine, reduces data collection requirements, accurately judges the starting and ending points of each piece, improves the accuracy of the segmentation point by using a dynamic time warping method, is suitable for long processes and short processes, and has a broad market prospect.

The utility model discloses an ink bottle transmission buffer device, which relates to the technical field of ink bottle transmission equipment and comprises a conveyor, a first guardrail and a second guardrail are respectively arranged on two sides of a frame of the conveyor, a notch is arranged on the first guardrail, a movable fence is arranged in the notch, two sides of the movable fence are rotatably connected with stop levers, and the stop levers are rotatably connected with the conveyor. The ends, away from the movable fences, of the stop rods are rotationally connected with transverse bases, the transverse bases are horizontally and slidably connected with the first guardrail, the bottoms of the movable fences are rotationally connected with buffer plates, the bottoms of the buffer plates are rotationally connected with vertical bases, the vertical bases are connected with a rack of the conveyor through a lifting mechanism, and the lifting mechanism is used for driving the vertical bases to ascend and descend in the vertical direction. According to the utility model, the transmission load of the conveyor can be reduced, and the fault risk of the conveyor can be reduced.

The application discloses an air quality monitoring data processing transmission method and device, relates to the technical field of data transmission, and comprises the following steps: collecting multi-modal environmental parameters through a distributed sensor array, calculating the pollutant concentration covariance matrix of adjacent monitoring nodes, and determining abnormal monitoring events according to the condition number; adopting a compression sensing algorithm driven by space-time correlation to perform hierarchical compression; calculating a channel comprehensive quality index, combining a deep learning model to predict a channel state, dynamically selecting a transmission protocol combination, and obtaining a multi-protocol data stream; performing space-time interpolation reconstruction, calculating reconstruction hash and writing into a blockchain, and performing integrity verification; updating the weight of the deep learning model, optimizing the compression sensing algorithm, optimizing energy distribution according to the transmission load, and performing iterative optimization of the deep learning model. The application adopts the compression sensing algorithm driven by space-time correlation to perform data compression, thereby reducing the data transmission burden.

The application discloses a kind of data compression of laser radar and restores transmission method, system and storage medium, wherein the method comprises: obtaining laser radar original data information;Laser radar original data is deburred and fitted, and filtered laser radar data information is obtained;The filtered laser radar data is compressed and packet processing, and the data information of compression processing is obtained;Compressed data is sent to receiving end;Receiving end sends compressed data to preset restoration algorithm, and obtains laser radar restoration data.The application is compressed by special compression processing algorithm, not only the smooth operation of radar original data, and greatly compressed the transmission memory size of data, improve transmission efficiency, reduce the transmission load of controller.

This invention relates to a method for diagnosing the condition of photovoltaic inverters in new energy power plant systems, specifically in the field of real-time monitoring technology for photovoltaic power generation systems. Through a collaborative mechanism of edge-side intelligent preprocessing and cloud-based deep learning, the real-time performance and accuracy of photovoltaic inverter condition diagnosis are significantly improved. The system completes data filtering and feature extraction at the edge, effectively reducing transmission load and ensuring low-latency response for fault diagnosis. The cloud model continuously absorbs learning results from the edge, achieving dynamic evolution of diagnostic capabilities. This edge-cloud collaborative architecture not only overcomes the drawbacks of traditional methods that rely on human experience and have slow response times, but also achieves a shift from passive response to proactive early warning through predictive maintenance functions. This significantly enhances the reliability and economic benefits of photovoltaic power plant operation, providing effective technical support for the intelligent operation and maintenance of new energy power plants.