11results about How to "Reduce transmission load" patented technology

The invention discloses an industrial control equipment data acquisition system and method, and the system comprises a sensor module which is installed on industrial control equipment and is used for detecting various parameters of the control equipment; the data acquisition module is connected with the sensor module and is used for acquiring an output signal of the sensor in real time; the data processing module is used for preprocessing the collected data, improving the data quality and reducing the storage space; the communication module is used for transmitting the processed data to a remote monitoring system and supports wired and wireless communication modes; the control module is used for comprehensively processing and analyzing data and providing decision support for industrial control; according to the data acquisition system and the data acquisition method, the operation data of the industrial control equipment can be efficiently and accurately acquired, the real-time performance and the precision are remarkably improved, the data quality is effectively improved through the optimal design of the data processing module, noise and redundant data are reduced, and meanwhile, storage and transmission loads are reduced.

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 invention relates to the field of vibration equipment and signal control, in particular to a low-delay vibration control method, a low-delay vibration control device and a readable medium, which are characterized in that each vibration unit is endowed with a position code to realize accurate and independent control of each vibration unit; according to the number of the vibration centers, the pressure data of each vibration unit and the area interval, the area where all the vibration units are located is divided into second vibration areas, and a plurality of control signals are generated for all the second vibration areas; each control signal comprises position codes, starting signals and vibration signals of all the vibration units in at least one second vibration area, all the control signals are transmitted to the vibration units one by one according to a time sequence, all the vibration units, corresponding to the control signals, in the second vibration area are controlled to vibrate, the total transmission amount of the control signals is greatly reduced, and the transmission efficiency is improved. The real-time performance of completing various vibration effects is improved, and the problems that in the prior art, the vibration effect is single, noise is large, vibration is not coherent, the hysteresis sense is high, and energy consumption is high are solved.

The embodiment of the present application provides a method for processing deformation animation and an electronic device, which relates to the field of graphics processing technology. The method includes: the CPU calculates the target weights corresponding to the first number of deformation targets in the current frame according to the sampling time sequence and the sampling value sequence; the target weights corresponding to the first number of deformation targets are written into the GPU, and the GPU caches the second number of texture layers corresponding to each deformation target. In the second number of texture layers, each texture layer stores vertex offset data of an attribute, so that the GPU determines the new attribute values ​​of multiple vertices under the second number of attributes according to the target weight corresponding to each deformation target and the vertex offset data included in each texture layer, and updates the three-dimensional model using the new attribute values ​​of multiple vertices under the second number of attributes. This solution can reduce the transmission load between the CPU and the GPU, improve the efficiency of deformation animation and the flexibility of control, and enhance the fluency and authenticity of deformation animation effects.

The invention relates to a heterogeneous distributed digital identity-oriented aggregation service method, and belongs to the technical field of block chain digital identity aggregation. The method comprises the steps that 1, a user uses a tag generation algorithm to generate a random tag alpha and sends the random tag alpha to a verifiable certificate issuing mechanism, and the user requests to issue a verifiable certificate; 2, the verifiable certificate issuing mechanism signs and issues a verifiable certificate which contains the distributed digital identity identifier and has an attribute authentication result to the user; 3, the user calls an aggregation function Aggregate () in the smart contract to aggregate the signature of the attribute; 4, the user randomizes the aggregated signature and label alpha, and sends the randomized signature and label alpha and the aggregated public key to a verification mechanism for authentication of the aggregated signature; and 5, the verification mechanism calls a verification function Verify () in the smart contract to verify the aggregation signature by using the property of bilinear pairing so as to prove the legality of the aggregation signature. Compared with the traditional heterogeneous distributed digital identity verification, the signature verification efficiency is improved.

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.

The present invention relates to the technical field of digital information transmission, and in particular to a method and system for secure transmission of engineering cost data. The method and system record the engineering cost data of each node in the engineering cost system and the number of accesses and the access time of each indicator contained in each engineering cost data within a specified period, determine the access priority of each indicator according to the number of accesses and the access time, and determine the target storage indicator according to the access priority, and determine the target storage indicator that needs to be stored with priority, which is conducive to improving the effect of subsequent storage; determine the effective coefficient of each node to establish a storage copy of the target storage indicator according to the target storage indicator, and determine the target storage node according to the effective coefficient, and establish a storage copy of the target storage indicator at the target storage node, which is conducive to balancing the access load; and perform secure transmission of the target storage indicator according to the storage copy, which is conducive to reducing the transmission load and ensuring the secure transmission of the engineering cost data.

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.

This application discloses a transmission method, a terminal, and a network-side device, and pertains to the field of wireless communication technologies. The transmission method in embodiments of this application includes: determining, by a terminal, a transmission mode for a signal and / or a channel on a second BWP based on transmission configuration information on a first BWP and / or a first SSB set; and transmitting, by the terminal, the signal and / or the channel on the second BWP based on the transmission mode.