9results about How to "Avoid transmission delays" patented technology

The invention provides a memristor neural network cloud edge collaboration method and a memristor neural network cloud edge collaboration system based on multi-mode sensing. The method belongs to the field of artificial intelligence multi-modal data processing. The method mainly comprises the following steps: distributing multi-modal data subjected to synchronous acquisition and time-space alignment to an FPGA (Field Programmable Gate Array) and a memristor array for parallel processing; splicing the processed multi-modal data in a channel dimension to generate a multi-channel fusion feature tensor; a memristor array is used for carrying out storage and calculation integrated calculation on the multi-channel fusion feature tensor, and an advanced feature map is output; receiving a differential update packet issued by the cloud, and selectively updating the weight in the memristor array according to the update packet; and carrying out in-situ fine tuning on partial weights in the memristor array based on locally acquired data. According to the method and the constructed system, the memristor array can be effectively compensated, the calculation precision is improved, and rapid self-adaption of a local scene and continuous and efficient iteration of global knowledge are achieved.

The application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

The application provides a national encryption and international algorithm compatible method for eUICC card and eIM platform public key interaction and an eUICC card, relates to the technical field of Internet of Things communication, and comprises the following steps: configuring configuration data information corresponding to multiple eIM platforms in the eUICC card, wherein the configuration data information contains the platform unique identification and service public key data of each eIM platform, the service public key data contains service information verification public key and an added algorithm type field, and the algorithm type field is used for uniquely identifying national encryption algorithms or international algorithms; in a business interaction process, the eUICC card matches corresponding configuration data information through the platform unique identification in a service data packet message sent by a target eIM platform, and then performs signature verification on the service data packet information based on the national encryption algorithms or international algorithms selected through the algorithm type field and the service information verification public key, so as to realize the security verification of the business interaction with the target eIM platform. The beneficial effect is that the accurate compatibility of national encryption and international algorithms in the public key mode is realized.

The invention discloses a prison abnormal behavior recognition method and system based on edge intelligent analysis, and belongs to the technical field of intelligent security protection, and the method comprises the steps: deploying edge nodes at each monitoring point of a prison, collecting a synchronous monitoring image flow, recognizing a low-light environment image frame through illumination evaluation, and storing the low-light environment image frame in a database; enhancing the image by using an improved Retinex algorithm optimized by a prison scene noise sample library; inputting the clear enhanced image into a lightweight CNN model, performing multi-dimensional matching with a prison abnormal behavior category knowledge base of a three-layer structure through an embedded behavior classification engine, and outputting a classification result of calibrated confidence; when the confidence exceeds a threshold value, triggering graded early warning, and associating the monitoring platform with peripheral sensor synchronous data to form a multi-mode alarm evidence chain; the edge node regularly encrypts and summarizes the early warning data packet and the negative sample data, and feeds back to the training end to realize model incremental learning; according to the method, the low-light environment adaptability and the feature discrimination capability are improved, and the recognition accuracy and the real-time performance are guaranteed.

The invention provides a data sending method and device, equipment, a storage medium and a program product. According to a preset segmentation serialization rule, segmentation serialization is carried out on to-be-transmitted data to obtain segmentation serialization data, and the segmentation serialization data is sent to a data receiving end; updating the to-be-transmitted data based on the segmented serialized data; under the condition that the to-be-transmitted data is not fully serialized, returning to execute the step started according to the preset segmentation serialization rule; and determining that the to-be-transmitted data is completely sent until the to-be-transmitted data is completely serialized. According to the invention, the data is sent in a segmented and serialized manner, and the serialization gap is used as the sending interval, so that the problem that the total end-to-end transmission delay is caused by sudden increase of instantaneous flow, packet loss of a transmission layer, retransmission repair of a protocol layer and the like due to too short sending interval is avoided; and compared with a mode of completely serializing the data and then transmitting the data, the packet loss rate in the transmission process can be reduced under the condition that the serialization and the total transmission time are not changed.

This invention discloses a throwable explosion-proof inspection robot and its control method for highway emergency response, belonging to the field of highway emergency rescue and intelligent inspection technology. First, it integrates composite gas detection, full-domain visual monitoring, and dynamic road condition capture functions to achieve comprehensive multi-dimensional data capture, providing complete raw data support for subsequent decision-making. Then, through multi-source data fusion, risk level assessment, and dynamic path planning, it completes data correlation analysis, risk classification, and optimal route planning. Based on this, the invention integrates gas, vision, and road condition detection functions through a multi-modal explosion-proof sensing module, combined with the software-based explosion-proof control logic of the explosion-proof safety assurance module, achieving precise adaptation of explosion-proof characteristics to highway emergency scenarios. This allows the inspection function to go beyond single-parameter monitoring, comprehensively capturing the status of hazardous sources and the dynamics of the surrounding environment.

The application discloses an industrial process control data access method supporting a multi-user data exchange protocol and relates to the technical field of data access.The application sets a cache space, analyzes data information corresponding to each data in underlying data, obtains a data evaluation coefficient, and judges whether the data is suitable for being stored in the cache space, so that the data frequently accessed can be stored in the cache space, the number of access to the underlying data can be reduced, the data access speed is improved, whether expansion is needed is judged, the capacity of the cache space can be increased, more data can be stored in the cache, the situation that the cache hit rate is low can be reduced, the data access speed and response time are improved, the priority of each user data stream is set, limited resources can be more effectively allocated to important data streams, and the transmission rate and response time of the important data streams are improved.

The application discloses a kind of unmanned plane fire identification positioning and rapid control method and system under photovoltaic scene, belong to unmanned plane intelligent inspection and fire control field.Adopt multi-rotor unmanned plane, integrate visible light / infrared camera, adaptive fire extinguishing device and dual-mode communication module, cruise according to preset route;Adopt improved YOLO11 algorithm (embedded coordinate attention mechanism), realize multi-source image double-channel detection, false alarm rate is reduced to 3.8% from 12.3%.After suspected fire is confirmed by radio / 5G back to ground, fire point positioning algorithm calculates fire source coordinates, area and height;Unmanned plane is configured fire extinguishing bomb / high pressure water gun according to component spacing, combined with fire source feature calculation best point position extinguishing, real-time back data forms closed loop.The application realizes photovoltaic fire early detection, accurate positioning, fast disposal, and improves the level of safety protection.

This invention discloses a data processing method, system, device, and medium for inspection and storage data, belonging to the field of data transmission for inspection and storage equipment. The method involves: processing the inspection and storage data by receiving a trusted data packet sent by the inspection and storage equipment and transmitting it to a preset trusted execution environment; verifying and decrypting the trusted data packet through the trusted execution environment to obtain first inspection and storage data; analyzing the first inspection and storage data in real time using a preset business event identification model and extracting inspection and storage event information from the first inspection and storage data; performing protocol conversion and structured processing on the first inspection and storage data based on the inspection and storage event information to obtain second inspection and storage data; and executing corresponding business response actions based on the second inspection and storage data. Therefore, by implementing this invention, the data purification efficiency and business response efficiency of inspection and storage data can be improved.