65results about How to "Save bandwidth resources" patented technology

The invention relates to the technical field of data processing, in particular to an intelligent logistics platform management system and method based on multi-source data. The method comprises the following steps: acquiring cold-chain logistics order data; performing multi-type cargo temperature control demand processing on the cold-chain logistics order data to generate cargo temperature control demand data; performing multi-node temperature control task decomposition on the cold-chain logistics order data through the cargo temperature control demand data to generate multi-node fine temperature control task data; performing cold chain abnormal feature analysis according to the multi-node fine temperature control task data to generate abnormal temperature control processing scheme data; and carrying out transportation-junction point temperature control correction according to the abnormal temperature control processing scheme data, and carrying out cold chain quality weighted scoring to generate logistics quality scoring data. According to the invention, through cold chain task decomposition and cooperation of multiple transportation nodes, intelligent cold chain logistics management is realized, and the temperature control management efficiency and cargo quality guarantee of cold chain logistics are improved.

The invention belongs to the technical field of interventional robots, and discloses a method, device and equipment for automatically adjusting the collection frame rate and a medium, and the method comprises the steps: obtaining the current movement speed of an interventional robot; adjusting a corresponding collection frame rate according to the movement speed; and controlling a camera to perform data acquisition based on the acquisition frame rate. The appropriate frame rate is selected according to the real-time movement speed of the interventional robot, the high frame rate is provided during high-speed movement by dynamically adjusting the collection frame rate of the camera so as to reduce movement blur, and the frame rate is reduced in a low-speed or static state so as to save bandwidth resources. According to the method, unnecessary data transmission quantity is reduced, network congestion and processing burden are relieved, the overall performance and stability of the system are improved, real-time and accurate transmission of image information is ensured, smooth and clear visual feedback is provided, the accurate control capability in the intervention process is improved, and the safety of the intervention process is improved.

The invention discloses an intelligent safety monitoring system applied to a high-speed motor train unit, and relates to the technical field of train safety, the system comprises intelligent safety monitoring hosts, the number of which is the same as that of carriages in the high-speed motor train unit, and each intelligent safety monitoring host is connected with the corresponding intelligent safety monitoring host. The data acquisition module is used for acquiring data signals of corresponding objects respectively acquired by a plurality of signal acquisition devices deployed in a compartment where the intelligent safety monitoring host is located; for each object, determining whether the object is abnormal or not based on the data signal of the object; if the abnormal object exists, generating an early warning signal; the train-level monitoring equipment is deployed in the high-speed motor train unit and is used for acquiring a data signal set corresponding to each compartment; and determining a target object and a carriage where the target object is located from the data signal sets corresponding to the carriages. Uniform power supply, storage, diagnosis and communication modes are adopted. Compared with the prior art, the installation space is reduced, and network bandwidth resources are saved.

The invention relates to a JPEG2000-based static image incremental coding and target area priority transmission method, which comprises the following steps of: S1, compressing a first frame image captured by a camera by adopting a standard JPEG2000 lossless coding mode to generate a complete initial image data packet, and directly carrying the complete initial image data packet back to a base in a copying mode; s2, calculating a difference image between a subsequent shot image frame and a previous frame, only performing JPEG2000 coding on a difference part to generate an incremental coding data packet, and transmitting the incremental coding data packet back to a base in a communication manner; and S3, the receiving end can perform image reconstruction according to the initial frame and the incremental data packet. And meanwhile, a key target area is endowed with higher JPEG2000 coding quality, and a progressive transmission function of JPEG2000 is adopted. According to the method, the high compression performance of JPEG2000 can be fully utilized, technologies such as incremental coding, target area priority coding and progressive transmission are combined, bandwidth resources needed by image remote transmission are greatly reduced, and the application requirement of high-definition image remote transmission in extreme environments such as the Antarctic pole is met.

A resource management system based on cloud computing relates to the technical field of resource management and comprises a cloud server, and the cloud server is in communication connection with a data acquisition module, a data storage module, a flow prediction module, a resource extension module, a resource activation module, a real-time flow monitoring module and a data aggregation module. The data acquisition module is used for acquiring data information; the data storage module is used for storing data information; the traffic prediction module is used for acquiring predicted data traffic of each edge equipment terminal; the resource extension module is used for presetting to-be-activated extension elastic computing nodes; the resource activation module calculates a pre-estimated activation time period of the node according to the determined expansion elasticity; the real-time flow monitoring module is used for judging whether a to-be-aggregated terminal is generated or not and determining to-be-aggregated flow of the to-be-aggregated terminal; the data aggregation module is used for generating an aggregated data packet and a verification list; and the cloud server is used for carrying out integrity verification on the aggregated data packet to ensure that the cloud server provides stable, safe and efficient cloud services.

The invention relates to a wave band self-adaptive hyperspectral image compression method based on semantic guidance. According to the method, a compression task and a classification task are unified under the same framework, and a natural relation between a spectral curve and a semantic category is utilized to apply category constraint to a spectral structure, guide generation of spectral information of a reconstructed image, and relieve adverse effects of spectral structure mutation on a compression process and subsequent hyperspectral image analysis and interpretation. According to the method, semantic information of ground features under a high compression ratio is effectively reserved, and the adverse effect of lossy compression on downstream task analysis and interpretation is relieved while bandwidth and storage resources are saved. Besides, the compression framework can process the hyperspectral data of any wave band, and does not need to train an independent model according to the hyperspectral images of different wave bands, so that the storage cost of the compression model is reduced.

The invention provides a threat assessment and multi-dimensional detection system and method for a malicious container mirror image. The system comprises a user interaction node which is used for interacting with a user, sending various tasks, receiving corresponding results and outputting a detection report; the data acquisition node is used for downloading a mirror image description file and a mirror image configuration file from the container mirror image warehouse according to a data acquisition task, and downloading a mirror image layer file as required; the information analysis node is used for analyzing the multi-dimensional information of the container mirror image and extracting a command and a file which are executed by default when the container is started; and the threat detection node is used for analyzing the detected and extracted command and file and evaluating the threat degree of the container mirror image. According to the method, the file actually executed in the container mirror image is quickly positioned by analyzing the multi-dimensional information of the mirror image, threat evaluation and multi-dimensional detection of the malicious container mirror image can be realized without downloading the complete mirror image, the bandwidth and storage and computing resources in the mirror image detection process are greatly saved, and the malicious container mirror image is efficiently identified.

The invention discloses a resolution adjustment method, device and equipment based on an eye tracking technology. The bandwidth can be reduced while the definition is improved. The resolution adjustment method based on the eye tracking technology comprises the following steps: acquiring real-time eye tracking data based on the eye tracking technology; dividing a sight focus area and a non-focus area of the user based on a preset area range and the real-time eye tracking data; and rendering the sight focus area and the non-focus area according to different resolutions.

The invention relates to the technical field of Internet of Things, and particularly discloses a whole-house intelligent distributed node self-organizing linkage control method, which comprises distributed node arrangement, self-organizing network design, communication architecture construction, transmission protocol design, node linkage control and fault detection. According to the scheme, distributed nodes are arranged, a self-organizing network is designed, the reliability and flexibility of the system are improved, and the data transmission efficiency is optimized by adopting an edge-cloud architecture; a transmission protocol is designed to realize efficient federated learning among nodes, delay is reduced through local model training, the response speed is improved, complex data is processed by using an edge layer, local bandwidth and computing resources are saved, and the operation efficiency of the whole system is improved; the self-organizing mapping is adopted to effectively reduce the dimension of the high-dimensional data, identify and cluster the nodes in the similar behavior mode, the stability and safety of the system are enhanced, the linkage condition is dynamically adjusted by considering the user habits and scenes at the same time, the personalized service is realized, and the user experience is improved.

The invention relates to a vehicle data uploading method and device based on a vehicle-mounted Ethernet, and belongs to the technical field of data processing.The vehicle data uploading method based on the vehicle-mounted Ethernet comprises the steps that real-time vehicle data and a current vehicle data uploading mode are obtained; under the condition that the current vehicle data uploading mode is a real-time mode, uploading the real-time vehicle data based on a first preset period; and under the condition that the current vehicle data uploading mode is the event mode, determining and uploading to-be-uploaded vehicle data based on the target uploading trigger event. According to the vehicle data uploading method and device, the uploading mode of the vehicle data can be adjusted according to the current data uploading demand, bandwidth resources occupied by vehicle data uploading are reduced, and the user experience of other vehicle functions is improved.

The invention relates to a video coding method and device, electronic equipment, a computer readable storage medium, a computer program product and a method for generating a bit stream. The video coding method comprises the steps that distortion information of each block in a current frame and a first subsequent frame is determined, the first subsequent frame is at least one actually available subsequent frame after the current frame, and the distortion information of the block is used for indicating the influence of distortion of a reference block of a previous frame on distortion of the block; based on the distortion information of each block, the distortion information of each block in a second subsequent frame is predicted, and the second subsequent frame is a predetermined number of subsequent frames after the first subsequent frame; determining a quantization parameter increment of the current block on the basis of distortion information of the current block in the current frame and distortion information of predetermined blocks in the first subsequent frame and the second subsequent frame, the distortion of the predetermined blocks being affected by the distortion of the current block; and encoding the current block based on the determined quantization parameter increment.

The invention provides a radar data processing method, a program product, electronic equipment and a storage medium, and the method comprises the steps: comparing collected radar data with a base value, and obtaining a difference value; if the difference value is smaller than a threshold; if yes, reporting the radar data according to the first data reporting frequency; if the difference value is not smaller than the threshold value, reporting the radar data according to a second data reporting frequency; updating the base value according to the base value and the threshold value; the second data reporting frequency is higher than the first data reporting frequency. The appropriate reporting frequency is selected based on the comparison result of the difference value and the threshold value, automatic adjustment of the reporting frequency is achieved, unnecessary data transmission can be reduced for non-abnormal conditions, and network bandwidth and storage resources are saved. And for abnormal conditions, the second data reporting frequency with higher frequency is adopted for data reporting, so that the problem of data omission is improved, and the accuracy of reported data is improved. By dynamically adjusting the base value, the real state of the radar data is reflected more accurately, and false alarms caused by a fixed base value are reduced.

The invention relates to the field of big data processing technology and financial science and technology, and discloses an insurance claim settlement video frame filtering method, device, equipment and medium, a to-be-filtered target video in insurance claim settlement is acquired, each frame of image in the target video is segmented into N sub-images, and N is greater than or equal to 2; performing graying processing on each sub-image to obtain a pixel difference value between each sub-image in each frame of image and the corresponding sub-image of the previous frame of image, and filtering each sub-image in each frame of image according to the pixel difference value and a preset dynamic threshold value; and recombining all the filtered sub-images to generate a new video frame image. According to the scheme of the invention, the problem that the frame filtering efficiency is low when the insurance claim settlement video frame is filtered by the existing frame filtering method is solved.

The embodiment of the invention discloses a data transmission method and device, communication equipment and a computer readable storage medium, and the method comprises the steps that network equipment receives a first request sent by a terminal, and the first request is used for requesting three-dimensional model data; the first request comprises first information, and the first information at least comprises a model definition level of each object in a first object set under a first visual angle of the user; determining a first detail level corresponding to each object in the first object set based on the first information; wherein each object has three-dimensional model data of a plurality of detail levels; sending second information to the terminal, wherein the second information comprises the first data set; the first data set comprises first model data, corresponding to the first detail level, of each object in the first object set; the second information is used for the terminal to generate a three-dimensional model of each object in the first object set.

The invention discloses a TSN network bandwidth parameter pre-allocation method based on network calculation. The method comprises the following steps: obtaining a parameter information set of a TSN network; the TSN network is a time sensitive network; performing flow modeling processing on the parameter information set to obtain an aggregation arrival curve and a residual service curve of the AVB flow; and solving the aggregation arrival curve and the residual service curve to obtain a bandwidth allocation parameter of the AVB flow of the TSN network. According to the method, the feasible minimum bandwidth resources can be distributed at the node level on the premise that the flow delay limit is guaranteed, high efficiency and good expandability are achieved, and the method can be applied to network topologies of various scales.

The present disclosure provides a method, device and computer-readable storage medium for verifying an Android installation package, and relates to the field of information technology. The method for verifying an Android installation package includes: obtaining the total file length of the target Android installation package; when the total file length is greater than a first threshold, downloading the structural data of the core directory of the target Android installation package; determining whether the structural data of the core directory of the target Android installation package and the structural data of the core directory of the local Android installation package have the same hash value; when they have the same hash value, determining that the target installation package is the same as the local Android installation package; when they have different hash values, determining that the target installation package is different from the local Android installation package. The present disclosure can more efficiently verify whether the target Android installation package is the same as the local Android installation package, saving download time, download bandwidth and computing resources.

The application discloses an event reporting method, a setting device, a target device and a system based on MCTP, and the method comprises the following steps: the setting device sends a setting event message with the MCTP message type code being 0x77 to the target device, the message at least containing an event label, a data length and an event condition described by a formatted string key-value pair; the target device receives and stores the event condition; when the event condition is met, the target device actively sends a reporting event message with the code being 0x77 to the setting device. By using the event notification mechanism, the setting device does not need to poll frequently, the monitoring condition is configured on the target device by one time setting, the target device actively reports when the condition is met, repeated information transmission is avoided, the MCTP bus communication flow is greatly reduced, and the system load is reduced; meanwhile, the key information and the change information can be sent in real time, the information updating delay problem caused by reducing the polling frequency is solved, and the balance between the system load and the real-time response is realized.

The embodiment of the invention provides a recycle bin cleaning method and device for a distributed file system, equipment and a medium. The method comprises the steps that a server sends a scanning task to a client; the scanning task is used for indicating the client to scan a corresponding target data directory in recycle bin data directories of the server, and determining to-be-deleted data in the target data directory; receiving a directory of to-be-deleted data sent by the client, and putting the directory of the to-be-deleted data into a to-be-deleted data queue; generating a deletion task according to the to-be-deleted data queue, and sending the deletion task to the client; the deletion task is used for indicating the client to delete data corresponding to the appointed catalog of the data to be deleted. According to the embodiment of the invention, the data volume transmitted in the network can be obviously reduced when the recycle bin cleaning work is carried out, so that bandwidth resources are saved, and the risk of network congestion is reduced.

The invention provides a web page loading speed optimization method and device, and the method comprises the steps: carrying out the optimization of a network layer, so as to reduce the network delay and server load; static resources are optimized to reduce the resource volume and the loading time; and browser rendering is optimized, so that the page rendering efficiency and the user experience are improved. The web page loading speed optimization method and device have the advantages that through intelligent network acceleration, refined resource management and user perception oriented rendering optimization, the page loading time can be effectively shortened, and the user access speed is increased; and the access frequency and the update frequency of the resources are intelligently predicted by using a machine learning algorithm, and the cache strategy is dynamically adjusted, so that the cache hit rate can be effectively improved, the network request times are reduced, and the page loading speed is further improved.

The embodiment of the application provides a time slot adjustment method and device, electronic equipment and storage medium, and relates to the technical field of network, the method comprises the following steps: in response to reaching a time slot monitoring opportunity, determining a bandwidth demand prediction value of a target service of a target network device in a target time period in the future; comparing the bandwidth demand prediction value with an actual bandwidth allocated to the target service at present, and determining a target time slot number allocated to the target service in the target time period based on a comparison result; determining a time slot adjustment opportunity of the target service; and adjusting the time slot number allocated to the target service to the target time slot number when the time slot adjustment opportunity is reached. The embodiment of the application can avoid untimely time slot adjustment during a traffic peak period, and reduce the idling of bandwidth resources during a non-peak period.

The invention discloses a wireless communication network-based data transmission method for a top-loaded ultraviolet pan-tilt camera, and relates to the field of wireless communication networks. The system comprises a data acquisition module, a preprocessing module, an encoding module, a transmission queue management module, a wireless transmission module, a transmission state monitoring module and a decoding verification module. According to the invention, three wireless communication networks of ZigBee, Wi-Fi and 5G are combined, a corresponding detection signal transmitting module and a detection signal receiving module are arranged, detection signals are periodically sent, the signal quality of each network is evaluated in real time, an optimal transmission network is intelligently selected according to the bit error rate, the signal arrival time interval and other indexes, and when the packet loss rate or the signal strength does not reach the standard, the optimal transmission network can be obtained. And the network mode can be automatically switched, and stable and continuous data circulation can be maintained in a complex and changeable environment no matter in an area with strong signal interference or in a remote place with weak signals.

The embodiment of the application provides a kind of short message communication method, device and equipment of multi-star coordination and storage medium, for wireless communication technical field.The short message communication method of multi-star coordination includes: uplink signal is analyzed, to obtain terminal equipment information according to communication satellite screening candidate satellite set is obtained, channel quality evaluation is carried out to candidate satellite set, to obtain target satellite set according to channel quality score screening candidate satellite, according to target satellite quantity, data duplication is carried out to obtain data copy set to be sent data, according to target satellite ID and data copy set, task creation and data encapsulation are generated to generate sending task list, according to time sequence constraint, each sending task is sent priority determination and sequencing to generate sending sequence.The application is replaced by space redundancy to single-point transmission, and multi-star screening is carried out in combination with link sensing, which improves the reliable delivery rate and timeliness of short message under bad / unstable link.

The application relates to a knowledge base synchronization method, system and computer readable medium for space-based semantic communication, the knowledge base synchronization method comprising: initializing a general semantic knowledge base; in a first communication stage, training the general semantic knowledge base according to a first quantity of communication data to obtain a first semantic knowledge base, and transmitting the first semantic knowledge base to a sending end node and a receiving end node; judging whether the semantic knowledge base of the receiving end node needs to be updated, if the semantic knowledge base of the receiving end node needs to be updated, updating the semantic knowledge base of the receiving end node according to the first data transmitted by the sending end node to obtain a synchronized first communication semantic knowledge base; and the sending end node and the receiving end node communicating according to the synchronized first communication semantic knowledge base. The application can reduce the semantic knowledge base updating frequency of both communication parties in a satellite communication system, and save the time and bandwidth resources required for semantic knowledge base synchronization.

The application discloses a dynamic message aggregation and distribution method and system. The destination address of an original message in a received message is judged. If the destination address is local, the message is directly sent. If the destination address is not local, it is judged whether the message is repeated according to the message type and content. For the repeated message, message aggregation is performed. The message aggregation includes counting the message identifier of the repeated message and determining the forwarding server list of the aggregated message. The aggregated message is sent to the remote server closest to the local server in the server list. The aggregated message in the received message is dis-aggregated. The message with the local destination address is sent to the destination address. After the local address in the server list is deleted, the aggregated message is sent to other remote servers. Through accurate calculation of only receiving the forwarding server node set of the message, the forwarding of the group message to irrelevant servers is reduced, thereby greatly reducing the redundant network traffic and saving the valuable bandwidth resources.

The application discloses a data file encryption method and device, a computing device and a storage medium. The method comprises the following steps: receiving a file uploading request of a data file, storing a plurality of data fragments of the data file in a plurality of data nodes in a distributed storage system respectively; obtaining load information of a data node in which any data fragment of the data file is stored; determining an object of performing encryption processing according to the load information of the data node in which the data fragment is stored; and if it is determined that the object of performing encryption processing is the data node in which the data fragment is stored, controlling the data node to perform encryption processing on the data fragment. Through the above method, only a part of computing resources needs to be dynamically reserved in the data node, and the data node can complete the encryption processing of the data fragment when the load of the data node is low, without loading the data fragment to an external computing node for encryption processing, so that network bandwidth resources can be saved, and the situation that the data node has too large throughput can be avoided.

A data compression method and device, a computer-readable storage medium, and a terminal, the method comprising: determining the data of a Gaussian data table of a previous frame and a Gaussian data table of a current frame, and determining the offset between the Gaussian data center values ​​of the Gaussian data table of the current frame and the Gaussian data table of the previous frame; determining a first weight value between the data of a prediction area and the data of a reference area, and determining a second weight value between the data of the prediction area and the data of a mapping area; determining the prediction value of each data in the prediction area according to the first weight value and the second weight value; subtracting the corresponding prediction value from each data in the prediction area to obtain the residual value of each data; compressing the residual value of each data in the prediction area and each data outside the prediction area to obtain compressed data. The present invention can effectively compress the Gaussian data table and greatly reduce the bandwidth resources occupied by data.

The invention discloses a data reporting method, device and equipment and a storage medium, relates to the field of vehicle-mounted equipment, is applied to target vehicle-mounted equipment, and comprises the following steps: starting a target background application on the target vehicle-mounted equipment, reading and analyzing the target configuration file by utilizing the target background application to determine a target report item switch, target report configuration and target report parameters; the target configuration file is a JSON file; acquiring data of a target report item of the target vehicle-mounted equipment based on the target report item switch by using the target data acquisition interface to obtain a target data packet; and determining a target reporting path and target reporting logic corresponding to the target vehicle-mounted equipment based on target reporting configuration and the target reporting parameter, and reporting the target data packet through the target reporting path based on the target reporting logic. According to the invention, flexible reporting of the data of the vehicle-mounted equipment is realized.

The invention discloses an intelligent satellite network routing method and device based on position orientation, and relates to the technical field of satellite network communication, and the method comprises the steps: determining a satellite node data set according to a simulation analysis result of a satellite network, the satellite node data set comprises node data of all satellite nodes in the satellite network, and the node data is transmitted to the satellite network; the node data comprises geographical location information, lifting rail surface information, destination node geographical location information and a routing decision result; performing model training according to the satellite node data set to obtain a decision tree model; performing model compression on the decision tree model to obtain a target decision tree model; and converting the target decision tree model into a matching action entry suitable for a switch, and deploying the matching action entry into the switch, so that a data message is forwarded according to the matching action entry after entering the switch. According to the invention, occupation of network bandwidth resources can be greatly reduced.

This application provides a stateless session recovery method, apparatus, and device for the TLCP protocol. The method includes: determining a second client signature hash value based on a client signature certificate; determining a second client encryption hash value based on a client encryption certificate; determining a second server signature hash value based on a server signature certificate; determining a second server encryption hash value based on a server encryption certificate; if the first client signature hash value is the same as the second client signature hash value, the first client encryption hash value is the same as the second client encryption hash value, the first server signature hash value is the same as the second server signature hash value, and the first server encryption hash value is the same as the second server encryption hash value, then the client's session is recovered, and a TLCP connection is established with the client. The technical solution of this application can save network bandwidth resources, reduce the computing resource consumption of business servers, and significantly shorten the connection establishment time.

This invention discloses a remote control system for port container cranes. The system comprises a network monitoring module, a controller, a sensor array, a video encoder, and a remote operation terminal. The system utilizes the sensor array to acquire physical parameters such as spreader height, trolley and spreader speed, and distance from the top of the target container. It calculates the bandwidth allocation ratio coefficient for the region of interest in the video and sets mandatory numerical range constraints to achieve precise mapping between visual resources and operational urgency. To address the mechanical inertia of the trolley mechanism, the system employs a combination of trend prediction and physical boundary limiting to smoothly compensate for control commands. The rate of change of the predicted commands is limited by the maximum permissible acceleration, resolving motion misalignment issues caused by network jitter. This invention improves the system's fault tolerance under extreme operating conditions, ensuring high-definition feedback and inherent safety during remote container operations.