77results about How to "Reduce data transfer volume" patented technology

The invention discloses a data transmission method, data transmission user equipment and a data transmission system. The data transmission method comprises the following steps that: the user equipment accesses a server by a terminal control protocol (TCP) through a handshaking protocol and sets a TCP data transmission mode or a user datagram protocol (UDP) data transmission mode as a data transmission mode; and then the user equipment and the server transmit data in the specified data transmission mode, wherein during data transmission, the user equipment or the server determines whether to switch the data transmission mode adopted by the user equipment or the server or not according to the quality of the accessing channel.

The invention relates to a webpage?offline?browsing field, and particularly relates to an Internet content?encryption release method and a system. The method comprises steps of dividing an original file containing to-be-released content into a plurality of plaintext segments by a release server and generating control segments containing segment control information, carrying out encryption on each plaintext segment according to the control segment by the release server to generate ciphertext segments, packaging the control segment and each ciphertext segment by the release server to form a new file, releasing the new file to at least one downloading server for downloading by a client by the release server, downing the new file form the downloading server by the client, sending a decryption?request to the release server by the client, acquiring a corresponding decryption?password according to the decryption?request and sending the decryption?password to the client by the release server, and receiving the decryption?password by the client, using the decryption?password to carry out decryption?processing on each ciphertext segment and recombining each plaintext segment to generate an original file. According to the method and the system, network and server load when the file is released can be effectively reduced.

The invention provides an electric power security integrated monitoring device which is characterized in that a sensor set, a preprocessing module, an electric power quality analyzing module, a microprocessor, a storage and a communication module are included, the sensor set comprises a plurality of sensors and is used for collecting operation parameters of electric equipment, the preprocessing module preprocesses the operation parameters, the electric power quality analyzing module analyzes electric power quality and transmits electric power quality parameters to the microprocessor which analyzes the security state of a power grid and the electric equipment and electric fire hidden hazards according to comparing results of the electric power quality parameters, the preprocessed operation parameters and electric security data, and a fire warning signal is sent. When the device is used independently, electric energy quality and electric fire hidden hazards of local potential can be monitored on line in real time, during networking, the device can be used as a data collecting device and a data preprocessing module of an electric power security monitoring system, and data transmission amount and system information processing amount are lowered.

The invention discloses a virtual electronic fence positioning method and apparatus, and a virtual electronic fence monitoring method and system. The virtual electronic fence positioning method comprises searching and recording the current WIFI signal combination; determining that the WIFI signal combination is unmarked safe combination, acquiring the positioning data, and the positioning data to a server; receiving a determination result signal returned from the server; if the determination result signal is a not-out-of-range signal, marking the WIFI signal combination as safe combination; and if the determination result signal is an out-of-range signal, alarming to prompt. The virtual electronic fence positioning method and apparatus, and the virtual electronic fence monitoring method and system solve the technical problem that a current children positioning monitoring device consumes great energy and is shot in the stand-by time, so that the virtual electronic fence positioning method and apparatus, and the virtual electronic fence monitoring method and system can reduce the positioning number and the data transmission quantity, can save the energy and prolong the using time for one-time charging, and can realize children or the aged monitoring in a safety area.

The invention discloses a method used for combining a GIS system with a splicing wall system and a device thereof. The invention is characterized in that a GIS client terminal and a GIS server terminal are adopted; the operation instruction of the customer is received by the GIS client terminal; a geographical information data is acquired from a GIS data base and an instruction used for acquiring the geographical information data from the GIS data base is generated; the instruction is sent to the GIS server terminal; the GIS server terminal executes a corresponding operation according to the instruction; and the corresponding geographical information is displayed on a splicing wall. Therefore, the invention has the advantages that the instruction which is sent to the GIS client terminal by the GIS server terminal comprises operation information, thereby being small in the data transmission quantity; the data obtained from the GIS data base is displayed on the GIS server terminal, thereby ensuring the quality of the image, effectively utilizing the high resolving capability and high definition of the splicing wall, and effectively achieving the combination between the GIS system and the splicing wall system; besides, the customer only needs to operate at the GIS client terminal, thereby being convenient for operation.

The invention discloses a blue algae monitoring device and a blue algae monitoring method. The method comprises the following steps: collecting a plurality of sample images; utilizing the sample images to respectively compose a sample blue algae image set and a monitored image training set; calculating and obtaining a blue algae pixel characteristic threshold value according to the sample blue algae image set and the monitored image training set; collecting the image to be monitored; dividing the image to be monitored into a blue algae area and a non-blue algae area according to the blue algae pixel characteristic threshold value; and giving an early-warning message when the ratio between the area of the blue algae area and the area of the image to be monitored exceeds an early-warning threshold value. In the invention, the blue algae are monitored automatically in real time according to water-surface images; and the early alarm is given according to the explosion intensity of the blue algae. The collecting and processing of the image to be monitored and the explosion intensity evaluation calculation are realized by the monitoring device; and the explosion intensity result of the blue algae is only transmitted to a remote monitoring center, thus reducing the data transmission quantity. The early alarm message and the glue algae positioning information are together sent to the remote monitoring center, thus facilitating the positioning of the explosion position of the blue algae.

The invention discloses a webpage code adapting method applicable to a client environment. The method comprises the following steps: (1) a client browser sends HTTP request information to a website server when visiting a website; (2) the website server judges the environment information of a client where the client browser is located according to the HTTP header content in the HTTP request information; (3) the website server generates HTTP response data matching the environment information of the client and returns the HTTP response data to the client browser; and (4) the client browser processes the HTTP response data and displays the HTTP response data in a visual form. The amount of data transmitted is reduced, server bandwidth resources are saved, the page loading speed of the client browser is improved, and the user experience in page browsing is optimized.

The embodiment of the invention discloses a visual sensor network multi-target tracking method, device and system. The method comprises the following steps of using an edge calculation node to receivethe pedestrian target data obtained by detecting a pedestrian target from an acquired image by a visual sensor node; according to the pedestrian target data, constructing the pedestrian target cohesion model, and correlating the detection response of the same pedestrian target to form the target trajectory; tracking the pedestrian target corresponding to the target trajectory, obtaining the tracking result, and sending the tracking result to the cloud computing center, thereby realizing the effective reduction of the background pixel pollution, while segmenting the boundary between adjacent targets, greatly reducing the amount of data transmission. By using the edge calculation node to construct the pedestrian target cohesion model to form target trajectory and tracking the pedestrian target corresponding to the target trajectory, and sending the tracking results to the cloud computing center, the search space can be effectively reduced, the accuracy of data association can be improved, and the user's privacy can be protected at the same time.

The invention discloses a browser resource showing method and system. The method comprises the followings: first screen equipment calls a browser, and receives label information of the network resource selected from the window of the browser by a user; the first screen equipment acquires the link address of the network resource and sends the link address to second screen equipment according to the label information of the network resource; the second screen equipment is linked to a server where the network resource locates according to the link address of the network resource; the second screen equipment downloads the network resource from the server and shows the network resource on the display screen of the second screen equipment. According to the invention, the browser of the first screen equipment is taken as a web page content showing window, and the second screen equipment is taken as a playing platform for network video, therefore, the data transmission quantity between the first screen equipment and the second screen equipment is reduced, the transmission speed and the response speed are increased, and the second screen equipment is enabled to be independent of the first screen equipment and free from the influences of the first screen equipment.

The invention relates to a data transmission method of a network disaster-tolerant system. The system comprises a master node and at least one spare node; meta data information is stored in each node; the meta data information comprises information of the master node related to output transmission of the node in the last time and information of data written in the previous time; and the method comprises the following steps that: S1, the spare node and the master node are connected to shake hands and exchange respective meta data information; and S2, the master node compares the self meta data information with the meta data information of the spare node and determines one of four replication modes so as to realize data transmission. According to the invention, which mode is adopted is automatically judged while shaking hands again; the time required by disaster-tolerant recovery is shortened; furthermore, if the master node writes in data while incremental synchronization is carried out, a data incremental bitmap is not updated immediately; but, after incremental replication in this round is finished, incremental synchronization is carried out again after data between a head pointer of the spare node and a head pointer of the master node is converted into the data incremental bitmap; and therefore, the data integrity of the spare node is ensured.

The invention relates to the field of low-power-consumption cameras, in particular to a low-power-consumption camera, a monitoring management control system and a control method thereof. The low-power-consumption camera monitoring management control system comprises a low-power-consumption camera, a cloud server and an application terminal. The low-power-consumption camera is provided with an intelligent analysis module and a transmission module. The intelligent analysis module analyzes image data collected by the low-power-consumption camera and adjusts the working state of the low-power-consumption camera according to the collected image data, and the transmission module sends the image data to the cloud server. According to the invention, the low-power-consumption camera adjusts the working state of the low-power-consumption camera according to the collected image data, and is high in real-time performance; and the low-power-consumption camera is automatically switched to enter a normal working mode or a low-power-consumption mode or a closed mode, so that the data transmission amount can be greatly reduced, the storage burden of a cloud server is reduced, the communication energy consumption is reduced, and the power consumption of the multi-low-power-consumption camera monitoring management control system is reduced.

The invention provides a low-bandwidth data reconstruction method for a binary coding redundancy storage system. The low-bandwidth data reconstruction method for the binary coding redundancy storage system comprises the steps that (1) the corresponding relation between a lost data block and row vectors of a data check matrix is established, and low-bandwidth check matrixes are determined according to sub-matrixes composed of column vectors of the data check matrix corresponding to data blocks which are not lost in the storage system; (2) whether the number of the low-bandwidth check matrixes is larger than one is judged; (3) if yes, whether the I/O pressures, caused by the fact that the lost data block is recovered through all the low-bandwidth check matrixes, on each storage node are equal or not is judged; (4) if not, the low-bandwidth check matrix exerting the smallest I/O pressure is selected to conduct data reconstruction on the lost data block. Compared with the prior art, the low-bandwidth check matrixes are determined, the storage node with the smallest I/O reading pressure is found for recovery of the lost data block, and therefore the network bandwidth consumption caused by data reading of the system storage nodes can be reduced in the process of data block reconstruction.

It's a kind of information electrical appliance software upgrade method. It comprises the following steps: obtaining the storage image of new-edition software and old-edition software; labeling the arbitrary block; labeling as static matching block; labeling as dynamic matching block; labeling the non-matching block; ensuring the initial address and total length of upgrade file; ensuring the size of static matching block; ensuring the size of dynamic matching block; ensuring the size of non-matching block; writing the data of arbitrary block to upgrade file; sending the upgrade file to the upgrading information electrical appliance; receiving and analyzing the upgrade file; upgrading the old-edition software according to the analyzing result of upgrade file; upgrading the static matching block; upgrading the dynamic matching block; upgrading the non-matching block; upgrading the arbitrary block.

This invention discloses a street lamp energy-saving control system including a host, an industrial computer and slave computers characterizing in taking CPU as the core to be matched with a peripheral storage unit, a display terminal, an input terminal, a communication interface, a zero-cross voltage test unit, a voltage phase angle control unit and a current detection unit to compose the host, the slave computer is composed of a CPU, an AC phase angle test unit set on the fracture, a network voltage test unit and a control relay connected on the communication port. The host controls the phase angle after the voltage passing through zero to generate data signals and sends them to the slave to realize the control to the various working states of street lamps.

The invention provides a model-driven data transmission method and a system in a wireless sensor network. The method comprises the following steps: when a sensor node collects a sensing data, updating a parameter of a real-time prediction model on the node, and calculating a sensing data prediction value at the moment by virtue of a synchronous prediction model on the node; when an error between the sensing data prediction value and the collected sensing data is greater than a set error threshold, updating the parameter of the synchronous prediction model by virtue of the parameter of the real-time prediction model, and transmitting the updated parameter of the synchronous model and the collected sensing data to a gateway. According to the system and the method, the data transmission problem of an offline training phase of the model is avoided; the quantity of data transmission in the network is reduced under the premise that the quality of the data collected by the sensor network is not reduced; the energy consumption of the sensor node is reduced, thus the service life of the sensor network is prolonged.

Method and device of increasing downloading speed in a network are disclosed. The method includes: a server receiving a download request from a first client device, the download request identifying a first compressible resource; obtaining a network quality assessment score of the first client device, the network quality assessment score indicating a projected download speed of the first client device; in accordance with the network quality assessment score, determining a first compression level of the first compressible resource for the first client device; searching for the first compressible resource at the determined first compression level locally at the first server; and sending a request for at least one of the one or more second segments that are not pre-stored locally at the first server to a second server of the network.

The invention belongs to the field of fusion estimation of multiple sensors, and discloses a fusion estimation algorithm of selectively measured data of multiple sensors. The current conventional datafusion algorithm has the defect of large data transmission quantity when being used in target tracking estimation. The invention solves the above problem. According to the fusion estimation algorithm, some valuable data in the measured data of each sensor can be selected and submitted to a fusion center, so that the data use efficiency is improved, and the data transmitted between nodes is greatly reduced while a certain target estimation precision is achieved. The algorithm combines the artificial neural network and the genetic algorithm to select measured data, so that a multi-sensor tracking system reaches a good target tracking estimation effect through genetic algorithm optimization when a total data bandwidth is fixed. The algorithm has practical significance for solving an actual target tracking estimation problem.

The invention discloses a cloud data center virtual machine placement method; the method comprises the following steps: firstly using available calculating resource quantity to rank available physical machines in a descending order when virtual machines are placed in batch in a cloud data center; calculating similarity between mirror image files while satisfying resource constraint conditions, thus selecting a virtual machine group using the least transmission data block so as to fill each physical machine in sequence until all virtual machines are placed. The method can reduce the network flow when batch virtual machines are placed, can use the least physical machines to load the virtual machines, thus reducing a configuration time, and improving the cloud data center physics calculating resource utilization rate.

The invention provides a method and a device for transmitting application data. The method comprises the following steps that: an always online infrastructure (AOI) platform receives the application data from an application server; and the AOI platform compresses the application data, and transmits the compressed application data to a terminal. By using the technical scheme, a technical means for compressing the application data transmitted to the terminal by the AOI platform is adopted, so that the problems of low data transmission efficiency of the conventional AOI platform, influence of a great data traffic generated by the application of a mobile terminal on voice quality, and the like in related technologies are solved, and the effects of improving the data transmission efficiency of the AOI platform and reducing the volume of the data transmitted through mobile Internet are further achieved.

The invention relates to an image data acquisition and processing method and system based on an artificial intelligence technology, an intelligent camera and a server. The method comprises the following steps: image data is acquired by using an intelligent camera; furthermore, a first AI calculation model integrated in the intelligent camera is used for carrying out AI calculation processing on the acquired image data; the required effective image information is identified and extracted from the image information; finally, the effective image information rather than the original image data istransmitted to the server. Visibly this, the invention provides an edge calculation model for image acquisition and processing at a camera end. Based on the model, a processing task of image data canbe transferred from a server side to a camera side of a network edge node for execution. Thus, invalid data in the acquired image data can be directly filtered at the camera end of the network edge node, the subsequent data transmission amount is effectively reduced, the occupation amount of network resources in the data transmission process is reduced, and the data transmission delay is reduced.

The invention discloses an electric transmission line visual monitoring and alarming system which comprises a scenery complementary power supply system and an on-site monitoring and early warning system. The on-site monitoring and early warning system comprises a plurality of cameras, a control module, a PCI, a public network communication module, an alarm signal output interface and an alarm apparatus. The control module comprises a CPU, a video decoder, a video encoder, an instruction analyzing/compiling module and an RS458 interface, wherein the video decoder, the video encoder, the instruction analyzing/compiling module and the RS458 interface are connected with the CPU. Each camera is used for obtaining on-site video images of an electric transmission line, and comprises an analog video speed dome camera, a pan-tilt and a video server, wherein the pan-tilt and the video server are installed on the analog video speed dome camera. The instruction analyzing/compiling module is connected with the public network communication module through the PCI, the public network communication module is in communication with a remote host through a wireless public network, the CPU is connected with the alarm apparatus through the alarm signal output interface, the CPU is connected with each pan-tilt through the RS458 interface, and the CPU is connected with each video server through the video decoder. By the adoption of the technology, the electric transmission line visual monitoring and alarming system is high in response speed, high in monitoring efficiency, and suitable for being generally popularized and applied in a power grid.

The invention relates to an internet of things network model, in particular to a system and a method for efficiently transmitting mass sensing data of an internet of things. According to the system and the method, the problems of high energy consumption, short network life cycle, narrow application range, weak convergence and poor practical application in a traditional internet of things network model are solved. The system for efficiently transmitting the mass sensing data of the internet of things comprises a plurality of sensing nodes, a plurality of sink nodes, a plurality of relay nodes and a management platform, wherein various sensing nodes are automatically networked to form a plurality of sensing node self-organizing networks; each sink node is positioned in a coverage area of each sensing node self-organizing network and in a blind zone between every two sensing node self-organizing networks; various sink nodes are networked to form a sink node network; the relay nodes are positioned in the coverage area of the sink node network; the management platform is positioned in the coverage area of the relay nodes. The system and the method disclosed by the invention are suitable for the large-scale internet of things.

The invention provides an operation method of a mobile end for realizing a remote virtual desktop, an operation method of a service end, a mobile end apparatus and a service end apparatus, for realizing convenient and rapid data transmission and excellent user experience. The operation method of the mobile end for realizing the remote virtual desktop comprises the following steps: according to a mapping relation table between a user name and a remote computer end, determining a target computer which a user wants to access to, and sending the identification of the target computer to the service end; receiving a root directory structure file of the target computer, sent by the service end; according to a preset key value pair rule, parsing the root directory structure file so as to obtain a root directory structure; and displaying the obtained root directory structure to a user.

The embodiment of the invention provides a data transmission method, which is applied to a cloud platform, the cloud platform communicates with terminal equipment through edge computing equipment, andthe method comprises the following steps: obtaining control information generated for at least two pieces of terminal equipment respectively; integrating the control information of at least two terminal devices into first integrated data through the data model, training a pre-constructed model through the training data by the cloud platform to obtain the data model, and synchronizing the data model to the edge computing device; and transmitting the first integrated data to an edge computing device, so that the edge computing device splits the first integrated data through a data model of theedge computing device to obtain control information of each terminal device, and then issues the control information to the corresponding terminal device. Therefore, network congestion between the cloud platform and the terminal equipment is relieved.

The invention provides a novel communication method for earthquake early warning, which comprises the following steps that (1) the earthquake early warning critical information of each station is sampled and processed by an earthquake early warning critical information acquisition module installed on the station and is transmitted to an early warning center, and the response speed of earthquake early warning is effectively improved through reducing earthquake early warning transmission data transmitted by the station to the early warning center at the moment of the occurrence of an earthquake; (2) the earthquake early warning critical information acquisition module adopts a real-time online mode, does not transmit mobile seismic data at ordinary times and immediately transmits the earthquake early warning critical information generated by processing to the early warning center when mobile seismic waveforms are monitored so as to effectively relieve the transmission delay of the earthquake early warning critical information; and (3) the earthquake early warning critical information acquisition module adopts an earthquake early warning key data priority transmission and communication mode, i.e. the earthquake early warning critical information is transmitted firstly, and then other waveform data is transmitted after the end of seismic oscillation so as to improve the timeliness of the earthquake early warning critical information. The method is also applicable to intensity speed data transmission of the stations.

The invention relates to a deep learning image compressed sensing algorithm based on the Internet of Vehicles, and the algorithm comprises the steps: partitioning compressing and sampling a picture obtained by an Internet of Vehicles intelligent terminal through a measurement matrix, and obtaining a measurement data set Y; transmitting the measurement data set Y to a cloud server in a wireless manner, and importing the measurement data set Y into a trained deep neural network model, i.e., recovering the measurement data set Y into intermediate reconstruction through a full connection layer toobtain a preliminary reconstructed image X '; reconstructing the image through a residual denoising network to obtain a final reconstructed image X ''; and determining a loss function of the originalimage, and reversely transmitting the updated network weight by the loss function to realize optimization. The invention further discloses a deep learning image compressed sensing system based on theInternet of Vehicles. The data transmission quantity is greatly reduced, the bandwidth pressure is reduced, the flow charge and the limitation of the storage space are greatly saved, and meanwhile, the real-time response recovery, the accuracy of the reconstructed image and the suppression of the image noise can achieve better effects.

The invention discloses a time-space compression network coding based data transmission method in a wireless sensor network, which mainly solves problems of great total amount of data transmission and large number of transmission times of a data transmission method in the existing wireless sensor network. The data transmission method comprises the implementation steps of (1) carrying out time-space compression sampling at a node transmitting terminal so as to acquire an original data packet; (2) transmitting the original data packet by using the intra-cluster space-time correlation and inter-cluster inter-flow network coding; and (3) recovering the original data packet by using a gradient projection algorithm GPSR_BB in a receiving terminal sink node. According to the data transmission method, the time-space correlation of perception data is dug in a node sampling stage, the total amount of data is reduced, the data transmission amount is compressed by adopting intra-cluster transmission and inter-cluster transmission, and the number of transmission times is reduced, so that the life time of the wireless sensor network is prolonged, and the data transmission method can be applied to acquisition, transmission and recovery of data in the wireless sensor network.

The invention discloses a method for increasing the display refreshing rate of a multi-channel deep memory logic analyzer, aiming at the bottleneck of transmission and data acquisition. The data of channels in a display region in a hardware acquisition card memory is read by selecting an interested (needed) bus and a corresponding channel, namely only part of data in the hardware memory is read, so that the data transmission amount is reduced, and the data transmission time is shortened. In addition, according to segmented full marks, data reading is started, so that the data can be read without waiting for the state that the hardware memory has a full mark, and the time needed by data acquisition is shortened.

The invention provides a face detection method, a detection unit and a detection system in a wide geographic range. The face detection method comprises the following steps: dividing a plurality of subareas in a wide area range; deploying a plurality of terminals and a relay node in each subarea; wherein each terminal is responsible for shooting a video and carrying out face detection pre-recognition on the video; each terminal summarizing the pre-recognized face data to the relay nodes in the same sub-region; the relay nodes in different sub-regions gathering the face data to the aggregation node; the aggregation node uploading the face data to a cloud server; and the cloud server carrying out face depth identification and analysis. According to the method and the system provided by the invention, the bandwidth of data transmission and the use amount of electric energy can be reduced, and particularly for an outdoor wide area range, the method and the system provided by the invention can accurately obtain passenger flow data and information of other passenger flows.

The invention relates to a temporary train speed limiting method and device, a readable storage medium and electronic equipment. The method is applied to an area controller and comprises the steps: receiving a temporary speed limit verification command sent by an automatic train monitoring system, the temporary speed limit verification command comprising a starting point logic section ID and an end point logic section ID, and verifying the temporary speed limit verification command; according to a verification result of the temporary speed limit verification command, executing an operation of setting a temporary speed limit or an operation of canceling the setting of the temporary speed limit; when the train is in the jurisdiction range of the area controller, inquiring whether a temporary speed limit value exists in a logic section in the train movement authorization range or not, and under the condition that the temporary speed limit value exists, sending movement authorization information containing the temporary speed limit value to the train; and enabling the train to execute speed limiting braking operation according to the movement authorization information. Therefore, the data transmission quantity is reduced and the system failure rate is effectively reduced.