27results about How to "Avoid transmission delays" 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 relates to the technical field of networks, in particular to a traffic transmission method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring transmission time period information and transmission network information corresponding to flow to be transmitted in a communication network; wherein the communication network comprises a plurality of communication nodes, and according to transmission time period information, determining that each transmission sub-time period takes transmission network information as a constraint condition, and according to node information of each communication node when the communication network transmits the to-be-transmitted flow in each transmission sub-time period, determining a target transmission path corresponding to the to-be-transmitted flow; and transmitting the to-be-transmitted traffic based on the target transmission path.

The invention discloses a multi-unmanned aerial vehicle cooperative power reinspection method and system based on a communication technology, and belongs to the technical field of power system inspection, and the method comprises the steps: S1, constructing an inspection 3D map, determining an instruction set, and obtaining corresponding node inspection information; s2, analyzing node inspection information to determine own abnormal points and related abnormal points so as to determine an abnormal tracing network; segmenting the inspection 3D map according to the abnormity tracing network to obtain a target abnormal area and a non-abnormal area; s3, respectively constructing a first target execution path and a second target execution path through a minimum tree generation algorithm; s4, determining a regional information interaction time period based on the first target execution path or / and the second target execution path; s5, the unmanned aerial vehicle performs power recheck operation based on a multi-frequency communication strategy in combination with the regional information interaction time period; according to the scheme, the instantaneity and reliability of information interaction can be guaranteed, meanwhile, the main unmanned aerial vehicle and the standby unmanned aerial vehicle can guarantee smooth execution of an inspection task, and the efficiency of unmanned aerial vehicle power inspection is remarkably improved.

The invention relates to the technical field of torque calculation, in particular to a torque adaptability regulation and control method and system for an electric power-assisted bicycle, and the method comprises the steps: receiving a torque regulation instruction, starting a system regulation unit based on the torque regulation instruction, collecting a side-sway angle and a side-sway angular velocity, calculating transmission delay, and if the transmission delay is not in a delay range, starting the system regulation unit; if the transmission delay is within the delay range, screening the transmission data packet set to obtain a standard data packet set and an over-limit data packet set, adjusting the over-limit data packet set to obtain an adjusted data packet set, and obtaining an integrated data packet set based on the standard data packet set and the adjusted data packet set; and if not, calculating an external interference estimated value, calculating a side-sway angular acceleration by using the external interference estimated value, calculating a side-sway torque and an offset torque, calculating a regulation and control torque according to the side-sway torque and the offset torque, and completing torque adaptive regulation and control according to the regulation and control torque. According to the invention, the regulation and control speed and accuracy of torque adaptive regulation and control can be improved.

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 invention relates to the field of micro-services, in particular to a cloud platform-based registration center switching method, which comprises the following steps of: establishing a plurality of transmission channels, and transmitting initial registration information through the plurality of transmission channels; receiving a plurality of addressing information and extracting feature addressing information; initial configuration parameters are set, and the feature addressing information is sent to the latest registration center to search target registration information; if the target registration information does not exist in the latest registration center, checking and repairing the transmission channel, transmitting the initial registration information again, and searching again after a first time period; if the re-searching result is that the target registration information does not exist in the latest registration center, the configuration parameters are replaced to send the feature addressing information to the initial registration center; and searching the target addressing information in the initial registration center, and transmitting a searching result to the newest registration center through the transmission channel to complete updating of the newest registration center. According to the invention, the stability of registration center switching is improved.

The invention discloses an artificial intelligence auxiliary inquiry real-time data scheduling method and system. The method comprises the following steps: S1, forming a preliminary medical data set; s2, respectively constructing corresponding game tree models; s3, embedding the priority scheduling path into the game tree model; s4, establishing a cross-layer communication mechanism to realize state interaction and information transmission between the heterogeneous medical data hierarchical game tree models; s5, generating a final medical data scheduling plan; and S6, executing a final medical data scheduling plan, preferentially transmitting the medical data with high priority to a doctor end or a diagnosis model, enabling the medical data with low priority to enter a cache module, adjusting a subsequent transmission sequence of the medical data according to a global revenue function, and recording log information of medical data scheduling at the same time. According to the invention, the interference of low-priority data on key tasks is reduced, and the overall scheduling efficiency and the service quality of medical scenes are improved.

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 invention provides an electric control system and monitoring equipment. The electric control system comprises a fusion module, a transceiver module and a processing module, the fusion module receives the first control signal and the second control signal and is used for fusing the first control signal and the second control signal to obtain a third control signal, the first control signal controls the equipment main body, and the second control signal controls the protection device; the input end of the transceiver module is connected with the output end of the fusion module, and the transceiver module is used for receiving a third control signal; the input end of the processing module is connected with the output end of the transceiver module, the output end of the processing module is electrically connected with the equipment body and the protection device, and the processing module receives the third control signal and splits the third control signal into a first control signal and a second control signal. Synchronous control over the equipment main body and the protection device is achieved through one electric control system, so that the monitoring reliability and precision of the equipment main body are guaranteed, and when one electric control system is used for control, the control reliability is high, and the energy consumption and the cost are low.

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 relates to a front-end large file uploading method, and belongs to the technical field of digital information transmission. According to the method, a global uploading component is realized on the basis of a vue-simple-loader plug-in and a spark-md5. Js library, a state of calculating MD5 is added, the md5 value is calculated in a fragmentation manner, and an uploading page is optimized. According to the global uploading assembly, the user experience is optimized, the user can monitor the uploading progress in real time, the uploading progress comprises the file uploading state and the completion percentage, and the control of the user on the uploading process is enhanced; the method is easy to integrate with an existing Vue project, is convenient to develop and maintain, and has good universality and compatibility.

The invention provides a license plate recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-recognized license plate image; inputting the to-be-recognized license plate image into a shared feature layer module in the end-to-end license plate recognition model to obtain a shared feature map corresponding to the to-be-recognized license plate image output by the shared feature layer module; inputting the shared feature map into a license plate detection module in an end-to-end license plate recognition model to obtain position information which is output by the license plate detection module and is used for positioning a license plate area; based on the position information, a license plate area in the shared feature map is segmented, and a feature area matrix corresponding to the license plate area is obtained; and inputting the feature region matrix into a license plate recognition module in the end-to-end license plate recognition model to obtain a license plate recognition prediction result output by the license plate recognition module. A unified network structure can be used, and the license plate recognition efficiency is improved.

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.

The invention relates to a video data analysis system. The system comprises a channel alignment module and a data analysis module. The channel alignment module is used for receiving target video data through a preset data transmission channel, storing the target video data in a channel register corresponding to the data transmission channel, and aligning the target video data in the channel register according to the storage depth of the target video data in the channel register. Performing dynamic alignment on the target video data in the channel register to obtain video data to be analyzed; and the data analysis module is used for analyzing the video data to be analyzed to obtain the analyzed video data. By adopting the system, the analysis of the MIPI CSI-2 signal can be easily realized through an FPGA (Field Programmable Gate Array).

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 invention discloses a multi-format audio and video stream pushing method and device, and the method comprises the steps: decoding obtained audio and video data to be subjected to stream pushing, obtaining audio and video data and audio and video parameter data, reading the audio and video data according to a file reading mode, and obtaining a frame data set; and analyzing the audio and video parameter data to obtain multicast address data, pushing the frame data set to a multicast address according to an output file format, and calculating stream pushing completion time according to the audio and video parameter data until stream pushing of the frame data set is completed. The audio and video data are subjected to file coding, so that the security and the stability during data transmission are improved; the data in the frame data set is pushed to the multicast address, so that the step of setting up a streaming media server to distribute the stream is reduced, and the stream pushing efficiency of the system is improved; through the stream pushing method, stream pushing of the multi-format audio and video data is realized, and the difficulty and complexity of stream pushing operation are reduced.

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 invention discloses an OXC omni-directional optical switching control method, which comprises the following steps of: 1, designing a multi-dimensional optical path switching module by using an MEMS (Micro Electro Mechanical System) to support dynamic switching of an optical signal from any input port to any output port; step 2, adopting an intelligent control algorithm based on a genetic algorithm, and dynamically adjusting optical path configuration according to a real-time flow condition and a network topology structure so as to optimize an optical signal transmission path; step 3, establishing a dynamic traffic hotspot model to identify a traffic dense area so as to locate network congestion and potential fault sources; and step 4, a DM-train dynamic monitoring and tracking algorithm is adopted, and low-cost monitoring and rapid fault positioning are realized through the virtual network topology. According to the invention, by introducing the MEMS-based multi-dimensional optical path switching technology, the genetic algorithm-based intelligent path algorithm and the DM-train dynamic monitoring and tracking algorithm, the flexibility, efficiency, response speed and overall performance of the OXC are significantly improved.

The invention provides a method for applying black and white lists under a backpack base station, the backpack base station and a communication system, and relates to the technical field of communication. The method for applying the black list and the white list under the backpack base station comprises the steps that the backpack base station receives a connection establishment request sent by first UE, and the connection establishment request comprises first identification information of the first UE and a connection reason; the knapsack base station queries in a target black and white list based on the first identification information of the first UE and the connection reason to obtain a first query result corresponding to the first UE; and the knapsack base station determines whether to allow the first UE to establish a connection with the knapsack base station based on the first query result. According to the application, the target black list and the target white list are used to manage the UE requesting to establish the connection with the backpack base station, and unnecessary or disallowed UE is limited to establish the connection with the backpack base station, so that unnecessary network load on the backpack base station is reduced, transmission delay and packet loss are avoided, and the communication quality of the UE connected with the backpack base station is ensured.

Embodiments of the present application provide an industrial data transmission method, device, medium and product. The method comprises: performing type identification and importance evaluation on an original industrial data stream, dividing data levels and attaching labels; calling a differentiated encryption strategy according to the labels; adding a meta information field to the data packet header; performing identity authentication, dynamic authorization and access token management based on the LAAS-IoT permission management architecture; implementing three-level key generation, distribution and update; encapsulating and transmitting according to the target industrial protocol; continuously recording security logs and verifying data integrity at the receiving end. The method is used to achieve the effect of ensuring the safety of core industrial data while solving the problems of real-time degradation caused by full-strength encryption, static permissions being difficult to adapt to dynamic business scenarios, and keys lacking hierarchical isolation, and maintaining the low-latency response capability of the control system to the maximum extent.

The invention discloses a distributed data table migration method and device, equipment and a medium. The method comprises the following steps: cutting source table data to obtain a plurality of sub-files; sampling the sub-files according to a sampling proportion to obtain sampling data; fragmenting the sampled data by adopting a fragmentation rule and a fragmentation key of the target data table to obtain a target fragmentation proportion of the sub-files; determining a target file proportion queue of the sub-files from the candidate file proportion queues according to a target fragment proportion based on the fragment proportion associated with the candidate file proportion queues, and storing the sub-files in the target file proportion queue; according to the candidate file proportion queue, the data capacity of the sub-files, a first migration queue and a second migration queue, selecting the sub-files from the candidate file proportion queue and moving the sub-files to the first migration queue; and storing the sub-files in the first migration queue in a target data table in parallel. According to the embodiment of the invention, the data migration efficiency is improved.

The invention relates to the technical field of automobile electronic control, and discloses a CAN communication effective bit effective setting method comprising the following steps: 1, initialization and configuration; step 2, sending and receiving a heartbeat message; step 3, fault detection and isolation; step 4, sending a sleep management message; step 5, node response and detection; step 6, confirming and executing; and step 7, redundancy and multipath communication. By effectively managing the sleep state of the node, the method improves the use efficiency of network energy and reduces battery consumption, even if the management is carried out on the node, a healthy node with a fault does not participate, the overall stability of the network is improved, a real-time monitoring mechanism ensures that the management node masters the network condition at any time, and the management efficiency is improved. Quick response and adjustment can be performed, the risk of management failure is avoided, and the beneficial effect of identifying and isolating the fault node in time to avoid the management failure is achieved.

The invention relates to a backlight control method, device and equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring respective brightness requirements of a plurality of backlight partitions in a backlight module and the number of channels corresponding to a plurality of light emitting diodes in each backlight partition; each light emitting diode is connected with at least one channel of the backlight driver; the backlight driver is connected with the plurality of backlight partitions; determining channel data corresponding to a plurality of channels in the backlight driver according to the brightness requirements of the plurality of backlight partitions and the number of channels corresponding to the plurality of light emitting diodes in each backlight partition; and sending the channel data to a backlight driver to indicate the backlight driver to output a driving current according to the data of the current bit in the channel data and indicate the backlight driver to output a pulse width modulation signal according to the data of the pulse width modulation bit in the channel data. By adopting the method, the backlight control efficiency can be 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.

The present application relates to the field of wireless power transmission, and provides a coupling coefficient and load real-time observation method, system, equipment and medium for wireless power transmission. The method comprises: performing fundamental wave equivalent processing on a primary side resonant circuit of a wireless power transmission system to obtain an S-S topology fundamental wave equivalent circuit; performing phase lag transformation on the S-S topology fundamental wave equivalent circuit to construct an alpha-beta component model in a stationary coordinate system and obtain an alpha-beta stationary coordinate system voltage equation; performing Park transformation on the alpha-beta stationary coordinate system voltage equation to obtain a primary side voltage state equation in a dq rotating coordinate system; estimating a secondary side induced voltage through an induced voltage observer to obtain a secondary side impedance angle and a load initial estimated value; inputting the secondary side impedance angle and the load initial estimated value into an online updated radial basis neural network to correct and estimate the coupling coefficient and the load, and obtaining a mutual inductance estimated value and a load estimated value. The present application improves the observation accuracy of the coupling coefficient and the load.

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.