300results about How to "Save bandwidth" patented technology

The invention relates to the technical field of sensor upgrading, in particular to a remote upgrading method and system for a tire pressure sensor. The method comprises the following steps: acquiring real-time state data of a tire pressure sensor; carrying out outlier parameter elimination on the real-time state data of the tire pressure sensor, and carrying out state diagnosis mining, so as to generate a state diagnosis report of the tire pressure sensor; performing upgrade demand prediction based on the tire pressure sensor state diagnosis report, and performing priority upgrade analysis to extract a plurality of upgradable sensors; performing byte-by-byte difference identification on the plurality of upgradable sensors based on preset latest version information, and performing incremental data encapsulation to generate a plurality of incremental upgrading data blocks; acquiring a historical running log of the vehicle; performing dynamic vehicle using behavior analysis and vehicle idle time period prediction on the vehicle historical operation log to generate a plurality of idle prediction time periods; the upgrading efficiency and the safety performance of the tire pressure sensor are improved.

The invention discloses a cabinet type server and a communication method, and relates to the field of computers. The cabinet type server comprises a plurality of fusion nodes and a plurality of switching nodes, a first fusion node in the plurality of fusion nodes comprises a plurality of computing chips and at least one first switching chip, the at least one first switching chip is used for realizing communication connection among the plurality of computing chips, and a second fusion node in the plurality of fusion nodes is used for realizing communication connection among the plurality of computing chips. The first switching node in the plurality of switching nodes is coupled with the first fusion node through the connector, and the first switching node is used for realizing communication connection between the first fusion node and other fusion nodes in the plurality of fusion nodes. A switching chip and a computing chip are deployed nearby, a plurality of fusion nodes and a switching node adopt a mode of orthogonal connection and data two-stage switching, and a high-density system with high performance, large bandwidth and low time delay is constructed.

The invention discloses an efficient real-time voice and video transmission method, which is characterized in that a proper video frame coding mode is selected according to the state of video content, so that a system can effectively reduce the data volume and save the network bandwidth by using a high-compression-rate coding mode in a static state; more video details are reserved by using a low-compression-rate coding mode in a dynamic state, so that the data transmission quantity is reduced to the greatest extent on the premise of not influencing the video quality, and the overall transmission efficiency is improved; meanwhile, due to the fact that the transmitted data size is reduced and the data transmission speed is increased, transmission delay of the audio and video data is reduced, the phenomenon of audio and video asynchronization caused by data packet disorder can be effectively reduced through reasonable buffer area management, it is ensured that the audio and video data are played according to the generated time sequence, the watching experience of a user is optimized, and the user experience is improved. High-quality and low-delay audio and video transmission service is realized, and high requirements of users on real-time performance and definition are met.

The invention relates to the field of front-end page display, and discloses an intelligent resource loading method and device and a storage medium, and the method comprises the following steps: obtaining user browsing behavior data; inputting the user browsing behavior data into a pre-trained machine learning model to obtain a predicted browsing behavior of the user; resource loading is carried out based on the browsing behavior predicted by the user, the preloading strategy, the delay loading strategy and the condition loading strategy; after the resources are loaded, the resources are cached, and according to the real-time state of the user, the same resources are loaded by quickly applying the cache during the next browsing. According to the method, the user experience can be improved, the resource utilization is optimized, the page performance is improved, the flexibility is enhanced, and offline browsing and intelligent cache management are supported.

The invention relates to the technical field of fault diagnosis, and discloses a vehicle fault diagnosis system and method, a vehicle terminal and a storage medium, the system comprises the vehicle terminal and an edge calculation center, the vehicle terminal is used for collecting diagnosis fault codes and vehicle operation data of the vehicle terminal, and if a first fault code is found in the diagnosis fault codes, the vehicle operation data is sent to the edge calculation center; if yes, determining a first fault result according to the first fault code; if a second fault code is found in the diagnosis fault code, an edge node is determined according to the position information of the vehicle terminal, the edge node is connected, the second fault code and second operation data corresponding to the second fault code are sent to the edge node, the edge node is at least one of edge calculation centers, and the edge calculation centers are connected to the edge node; the edge node is used for performing fault diagnosis according to a third fault code and third operation data corresponding to the third fault code if the third fault code is found in the received second fault code to obtain a second diagnosis result; through the method, a more practical and more accurate vehicle fault diagnosis system is provided.

The invention provides a tensor core system for a large language model and a hardware chip, and relates to the technical field of artificial intelligence chips, and the tensor core system comprises an activation matrix processing part which is used for caching and preprocessing activation matrix data read from the interior of a memory to obtain a target activation matrix; the weight matrix processing component is used for caching and preprocessing the weight matrix data read from the inside of the memory to obtain a target weight matrix; the tensor kernel operation component is used for performing matrix floating-point number multiply-add operation on the target activation matrix and the target weight matrix to obtain a floating-point number multiply-add operation result, and accumulating the accumulation matrix and the floating-point number multiply-add operation result based on a preset floating-point number system to obtain a target result matrix; and the accumulation matrix and result processing component is used for performing floating-point number system conversion processing on the target result matrix to obtain a to-be-written result matrix, and writing the to-be-written result matrix into the memory. The method is more beneficial to improving the computing power utilization rate of the chip.

The invention provides a large model-based text generation and information recovery method and system. The method comprises the following steps of: converting complex situation information into simple and accurate text description by utilizing a text generation model; converting the text description of the situation information into a semantic vector by using a text encoder of a pre-trained CLIP model, and capturing semantic information of the text; encoding the noise image into a hidden space representation by using an encoder of a variational auto-encoder, and learning a compressed representation of the image; fusing the semantic vector generated by the pre-trained CLIP model with the image hidden space representation generated by the encoder of the variational auto-encoder, and optimizing the fused hidden space representation by using the trained de-noising Unet network; the optimized hidden space representation is decoded into a high quality situational information image using a decoder of a variational auto-encoder. By applying the technical scheme of the invention, the technical problem of incomplete received information caused by inevitable information loss in the data compression process in the prior art is solved.

The invention discloses a video hierarchical coding and decoding system and method based on area perception, and the method comprises the steps: an area perception stage: dividing an obtained monitoring video into video segments, processing video frames based on the video segments, and recognizing the area information of subsequent continuous frames through a reference frame processing result fed back by a server, the frame set of each video segment is spatially divided into a plurality of video sub-segments of different levels according to the application of the video; a coding stage: coding the video sub-segments into video sub-streams with different qualities by using different configuration parameters; and a decoding stage: decoding and restoring the video sub-streams into frames corresponding to the video sub-segments, and combining the frames into video frames. According to the invention, the time redundancy and the space redundancy of the video are fully considered, and the bandwidth of the transmitted video is greatly reduced; besides, the realized regional sensing mechanism overcomes the limitation of camera resources, not only meets the real-time processing requirement of video application, but also can be deployed on most cameras without GPU resources.

The invention discloses a cross-platform file incremental synchronization method, a computer device, a medium and a product. The method comprises the following steps: monitoring a determined to-be-monitored file in real time, obtaining file change information, dynamically obtaining a target coding algorithm and a target compression ratio, processing the file change information, obtaining intermediate file information, distributing a unique identifier and unique verification information for the intermediate file information, and obtaining target file data; detecting and acquiring a plurality of target network paths; and according to the network delay information, the bandwidth information and the reliability information, determining an optimal transmission path in the plurality of target network paths, and then transmitting the target file data on the path. The method is suitable for different operating systems and platforms, the optimal network path can be detected and selected for file transmission, and it is ensured that cross-platform file synchronization can be efficiently, stably and safely carried out under different network conditions.

The embodiment of the invention provides a data packet transmission control method and device, a computer readable medium and equipment. The transmission control method comprises the following steps: receiving data packets respectively sent by a data source through a plurality of transmission paths; calculating a hash value corresponding to the data packet according to the packet information of the received data packet; if the Hash value corresponding to the data packet is found in a Hash value storage space, the data packet is discarded, and the Hash value storage space is used for storing the Hash value corresponding to the received data packet; and if the hash value corresponding to the data packet is not found in the hash value storage space, storing the hash value corresponding to the data packet in the hash value storage space, and transmitting the data packet to a downstream service. According to the technical scheme provided by the embodiment of the invention, on the premise of discarding repeated data packets and reducing bandwidth occupied by network transmission, the memory space occupied by storing the information of the received data packets can be reduced, and the data transmission efficiency can be improved.

The invention discloses an H-infinity intermittent sampling load frequency safety control method for a multi-region power system under spoofing attack, and belongs to the technical field of power system safety control. According to the method, the intermittent control signal is only used in the working interval, the control cost is effectively saved, the limited network bandwidth can be saved through sampling control, and the influence of spoofing attacks on the multi-area power system is effectively resisted through safety control. Firstly, according to the characteristics of intermittent control and sampling control, the influence of spoofing attack is considered at the same time, and a multi-region power system intermittent sampling load frequency safety control dynamic model under the spoofing attack is established. Secondly, a switching Lyapunov functional is provided, meanwhile, under the framework of an LMI, sufficient conditions for existence of an intermittent sampling load frequency safety controller are given, and the conditions guarantee that the index of a multi-area power system is stable and meet the H infinity performance; and finally, verifying the effectiveness of the H-infinity intermittent sampling load frequency safety controller through three-region power system simulation under spoofing attack.

The present invention includes a crane Internet of Things data collection and analysis system and method, which determines the collectible life influencing factors according to the usage characteristics of each crane component; based on edge computing technology, the on-board computing module accurately calculates the usage statistical information, such as the operation time and operation frequency of a certain crane component, according to the collected influencing factor data, and transmits it to the Internet of Things server; the Internet of Things server calculates the life estimation information and maintenance reminder information of each component through a mathematical model based on the statistical information; the information in the system can be displayed on the vehicle-mounted terminal, mobile terminal, and centralized control terminal to meet the needs of multiple roles such as drivers, managers, and supervisors for crane component-level maintenance information.

The invention relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; pixel partitioning is carried out on the RGB type frame image set, and RGB pixel matrix blocks are generated; performing color space acceleration conversion on the RGB pixel matrix block to generate a YUV cache data matrix; the YUV storage data matrix is sent to a DSP internal processing unit for key frame selection, and YUV key video frame data and YUV non-key video frame data are obtained; and performing intra-frame coding on the YUV key video frame data so as to generate YUV key frame coded data. According to the method, the media picture rendering efficiency is improved by optimizing data processing, transmission and rendering and combining user visual focus analysis.

The invention provides a power line carrier and wireless communication combined power data transmission method and system, and the method comprises the steps: collecting the operation data of terminal power equipment in real time through terminal collection equipment in a power distribution area, and adding a timestamp for the data; and the hybrid communication sub-equipment transmits the operation data with the timestamp to the hybrid communication main equipment of the substation by using the power line carrier. And after receiving the data, the main device calculates the communication distance between the power distribution area and the transformer substation according to the timestamp information, and selects a proper communication mode. And the master device continues to monitor and calculate the bit error rate, obtains parameters such as the signal-to-noise ratio, the attenuation value and the interference intensity of the communication channel, and inputs the parameters into the pre-trained support vector machine to predict the current bit error rate. And based on a prediction result, a communication distance, a load and other factors, a pre-trained reinforcement learning model is adopted to adaptively select an optimal communication mode, and the communication mode is dynamically adjusted to optimize a data transmission effect.

The embodiment of the invention provides a data transmission method and device, equipment and a storage medium. A receiving end receives target data sent by a sending end; verifying a plurality of to-be-verified data packets in the target data, and determining the to-be-verified data packets passing the verification as first data packets; combining the plurality of first data packets into verification data; and comparing the verification data with the target data, determining whether the verification data is consistent with the target data, and further judging whether the target data is successfully transmitted. The receiving end in the embodiment of the invention ensures data consistency, reduces data loss or damage and improves transmission reliability by verifying the data packets to be verified, timely finds errors by comparing the verification data with the target data, avoids further processing of error data, improves transmission accuracy, and improves the transmission efficiency by subpackage verification and combination and parallel processing of a plurality of data packets. The verification time is reduced, and the transmission efficiency is improved.

The invention relates to an industrial quality inspection data cooperative transmission method driven by image recognition, in particular to the field of artificial intelligence, which analyzes video frames in real time through a lightweight neural network, accurately locates and extracts key areas and features in industrial product images, constructs a dynamic semantic scene graph to understand contents and divide priorities, and improves the quality inspection efficiency. The core of the method is that non-uniform intelligent coding is carried out on video streams according to semantic importance of contents, high-fidelity transmission of key information such as defects is ensured, non-key areas are greatly compressed to save bandwidth, scheduling is carried out in the transmission process according to priorities, confidence feedback based on a cloud recognition result is introduced, closed-loop control is formed, and high-fidelity transmission is realized. According to the method, the front-end analysis model, the coding strategy and the network path are adaptively optimized, so that low-delay and high-reliability visual quality inspection data transmission and accurate identification can be continuously and stably realized in a complex industrial network environment, and the overall efficiency and the intelligent level of online quality inspection are remarkably improved.

According to the distributed photovoltaic ring communication group key generation method provided by the invention, safe and efficient group key management is realized by combining a group number derivation mechanism, environment feature binding and a quantum key enhancement technology. The method comprises the steps that a preset broadcast root key is called from a concentrator, and the broadcast root key is used for deriving group keys of members in each group; acquiring environment characteristics of members in each group in a communication group corresponding to the concentrator, and recording an acquisition timestamp; summarizing the environmental characteristics of all members in the communication group, and performing hash processing on the summarized environmental characteristics to obtain an initial environmental characteristic vector; and generating a first group key with a preset length through a key derivation function based on the broadcast root key, the initial environment feature vector, the timestamp and a preset group identifier.

The invention provides a data table data processing method and device, electronic equipment and a storage medium. The method comprises the steps that service data to be written into a data table is received, the data table comprises a plurality of data partitions divided according to rows, and each data partition comprises a plurality of data buckets divided according to rows; the business data is written into a to-be-written data sub-bucket in a to-be-written data partition as a line, the to-be-written data sub-bucket is any one of a plurality of data sub-buckets of the to-be-written data partition, each data partition comprises a plurality of column clusters divided according to columns, each column cluster is used for writing feature data of a plurality of associated types, and each column cluster is used for writing the feature data of the associated types. The column clusters are physically and independently stored; a range query request is received, and the range query request comprises a plurality of to-be-queried types; and reading feature data of each row in each column cluster including a plurality of to-be-queried types from at least one data partition. According to the invention, high-efficiency storage and high-performance range scanning requirements can be considered.

The invention relates to a quick expansion method based on run length coding, which comprises the following steps of: S1, taking a binary image as an input region and carrying out run length coding to obtain a run length; inputting expansion parameter height and width; s2, judging whether the height and width of the expansion parameters are less than or equal to 0; s3, judging whether the input area is rectangular or not; s4, calculating the number of possible maximum distribution runs, wherein the maximum run number is obtained by multiplying the run number of the input area by the input expansion height; s5, calculating the number of times required to be iterated; s6, executing expansion in the horizontal direction; s7, expansion in the vertical direction is executed; and S8, merging all the moved run length codes. According to the method, the run length coding technology is introduced, the algorithm execution process and the data representation mode are optimized, the defects and problems existing in the prior art are solved from the aspects of storage, calculation, internal storage, real-time performance and the like, the efficiency and performance of binary image expansion operation are improved, and important technical progress is brought to the field of image processing.

The invention relates to the field of gas pipe network leakage early warning, in particular to a gas pipe network leakage early warning method based on edge calculation, which is applied to an equipment terminal, and comprises the following steps: responding to a leakage monitoring request, and receiving pipe network current data acquired by an acquisition end, the pipe network current data comprising pressure current data and leakage current data; calling a preset screening model to process the pipe network current data to obtain abnormal deviation values, and obtaining effective pipe network data based on the abnormal deviation values and the corresponding data fluctuation thresholds; receiving pipe network annotation data, obtaining hidden layer output values of the pipe network annotation data according to the initial evaluation model, and determining a state output weight based on each hidden layer output value to obtain a pipe network state evaluation model; and inputting the effective pipe network data into the pipe network state evaluation model for evaluation, generating a state evaluation result, processing an abnormal state evaluation result based on a preset early warning strategy, generating leakage evaluation data, and sending the leakage evaluation data to a data center.

The invention provides a live broadcast delay determination method and apparatus, and a terminal device. The method comprises the steps of determining a user type corresponding to a user watching a live broadcast; acquiring network parameters when the user watches the live broadcast; based on the user type and the network parameter, determining a delay parameter when the user watches the live broadcast, the delay parameter being associated with the delay when the user watches the live broadcast; and sending the delay parameter to a multimedia server, and receiving live broadcast data sent by the multimedia server based on the delay parameter.

The embodiment of the invention provides a time sequence data processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining initial time sequence data adopted by preset experimental equipment; preprocessing the initial time sequence data to obtain first time sequence data; and performing data compression on the first time sequence data by adopting a preset data compression mode to obtain second time sequence data, the data compression mode being a method for performing data compression based on timestamp information of the first time sequence data. Through the embodiment of the invention, the storage amount of the time sequence data can be reduced, so that the delay in the data sending process can be reduced, the bandwidth can be reduced, and the requirement of data instantaneity can be met.

The invention provides a wind turbine generator fault transmission system and method based on Beidou short messages, and relates to the technical field of wind turbine generator data transmission. The sending end gateway server obtains wind turbine generator data through the field network switch and transmits the wind turbine generator data to the Beidou sending end transceiver; the Beidou transmitting end transceiving device is used for receiving the wind turbine generator data in a short message form and forwarding the wind turbine generator data to the Beidou receiving end transceiving device through a Beidou satellite; the Beidou receiving end receiving and transmitting device receives the wind turbine generator data which is forwarded by the Beidou satellite and is in a short message form and sends the wind turbine generator data to the receiving end gateway server; and the receiving end gateway server receives and unpacks the wind turbine generator data in the short message form, and stores the unpacked wind turbine generator data to the database server. Network isolation between the field network and the Beidou device is realized through the gateway server, the Beidou device is not directly accessed to the fan master control, and the field data security can be ensured while fault data transmission is ensured.

A smart disaster prevention and energy-saving socket based on a load identification algorithm and a management system thereof, comprising a socket upper cover, a plug guide groove and a retaining frame, a jack reed, a power-on indicator light, a socket bottom cover and a PCB circuit board, each jack corresponds to a power-on indicator light, and the PCB circuit board comprises an MCU controller, a WIFI module, a USB serial port, an NFC module, an electric energy metering module, a relay, a terminal block, a fuse, an AC‑DC converter and a power supply module. The present invention provides a smart disaster prevention and energy-saving socket based on a load identification algorithm and a management system thereof, which uses a WeChat applet to perform online management of electrical appliances, embeds an NFC module into a self-designed socket circuit, and can provide services such as identification of electrical appliances as soon as they are inserted, conversion of ordinary appliances to smart appliance management as soon as an NFC tag is attached, denial of access to prohibited electrical appliances in specific scenarios, and remote management of appliances.

The invention discloses a cross-platform real-time central control screen projection instrument display method, which relates to the technical field of vehicle-mounted systems, and is characterized in that real-time transmission of high-definition video data between a central control system and an instrument system is realized through an intelligent transmission technology and a special hardware component, the system integrates a serializer and a deserializer, and the real-time transmission of the high-definition video data is realized. The method supports automatic identification and conversion of various video formats, combines an AI enhancement algorithm, dynamically adjusts a compression mode, resolution and refresh rate according to factors such as content complexity and bandwidth, and ensures an efficient and clear display effect. According to the method, the high-performance shielding twisted pair is adopted, the good anti-interference capability is achieved, and the stability of data transmission is guaranteed. According to the invention, the limitation of inter-core communication which depends on the same SOC traditionally is overcome, the separated deployment of the central control system and the instrument system is supported, the synchronous management of data resources is simplified, the adaptability is high, the real-time performance is high, and the flexibility and the user experience of the central control projection screen in vehicle-mounted and industrial applications are remarkably improved.

The invention relates to a video decoding system. The system comprises: a video decoder for decoding a code stream into decoded image blocks; a video postprocessor, wherein the video postprocessor is connected with the video decoder; and the video postprocessor is used for processing the decoded image block and sending the processed decoded image block to a target module. By adopting the method, memory access can be reduced.

The invention discloses a flood situation detection method and device based on big data hyper-fusion and a medium. The method comprises the steps of generating a corresponding ponding area list and a monitoring area list; performing spatial association on the ponding area list, the camera list and the water level gauge sensor list so as to determine the camera and the water level gauge sensor which have a spatial association relationship with the ponding area; for each ponding area, calculating the water depth of the ponding area corresponding to the ponding area according to the water depth data collected by the camera and the water level gauge sensor which have the spatial association relationship with the ponding area, and predicting the predicted ponding depth of the ponding area in the future according to the water depth of the ponding area; dividing camera monitoring grading lists of different grades according to the first camera list, the second camera list and the fourth camera list; and feeding back the gathered flood situation information and the map capturing frequency to a control center, so that the control center carries out rescue scheduling according to the flood situation information, and carries out dynamic scheduling on cameras in the ponding area and the monitoring area.

The invention discloses a dual circular polarization 3D printing multi-beam Luneberg lens antenna, which adopts a 3D printing metamaterial technology and comprises a Luneberg lens and a feed antenna, the luneberg lens comprises M spherical layers which are concentrically arranged; each spherical layer comprises a plurality of units with corresponding effective refractive indexes; each unit is composed of asymmetric dielectric rods which are mutually orthogonal in the x direction, the y direction and the z direction. The Luneberg lens with the asymmetric cross structure has different responses to incident horizontal polarization and vertical polarization, so that the Luneberg lens realizes conversion from dual-linear polarization to dual-circular polarization; the feed antenna is arranged at a polarization angle of 45 degrees relative to the x axis of the Luneberg lens; the feed antenna comprises a plurality of electromagnetic dipole antenna radiation structures, and each electromagnetic dipole antenna radiation structure introduces a first feed port and a second feed port which are orthogonally arranged. By switching the corresponding feed ports, the finally generated polarization mode of left-hand circular polarization or right-hand circular polarization can be easily changed.

The invention discloses a cloud side end cross-domain training efficient communication technology based on partition sparse communication, and aims to research how a cross-domain distributed computing framework efficiently realizes quick communication of cloud side end cross-domain nodes, research a back propagation sparsification mechanism, determine the influence of sparsification of a model layer on the model accuracy and communication through a sparsity heuristic algorithm, and improve the communication efficiency. Therefore, the communication scale is greatly reduced; a partition and grading communication scheduling mechanism is researched, and mainly comprises a computing intra-cluster communication scheduling mechanism and a computing inter-cluster communication scheduling mechanism. Wherein the computing intra-cluster communication scheduling mechanism maximizes computing-communication overlapping of the computing cluster through an activation value and weight separation mechanism; and calculating an inter-cluster communication scheduling mechanism, decoupling forward propagation and back propagation, and obtaining a most suitable micro-batch scheduling target through a custom optimization target. Through the above mechanism, the communication scale is effectively reduced, the calculation-communication overlapping rate is improved, efficient and rapid cross-domain node communication is realized, and the efficiency of cross-domain distributed training is improved.

The invention relates to the technical field of space big data visualization, in particular to a Cesium-based large-scale vector data visualization method and system, and the method comprises the steps: carrying out the preprocessing of obtained space vector data; slicing the preprocessed space vector data to obtain a multi-level vector tile group; wherein all the vector tiles in any hierarchy can be spliced into complete space vector data, the vector tiles in the same hierarchy are equal in size, and the vector tiles in different hierarchies are different in size; monitoring an interaction event of a user, loading the vector tiles at the corresponding positions and the corresponding levels according to the interaction event, and rendering the loaded vector tiles, so as to realize the visualization of the space vector data; interaction events include scaling and translation. By adopting the scheme provided by the invention, high-efficiency transmission of large-scale vector data and high-efficiency scheduling of vector tiles can be realized.