16results about How to "Reduce data latency" patented technology

The invention provides a data communication device and method, electronic equipment and a storage medium, the data communication device is applied to a many-core system, the many-core system comprises a plurality of processing cores, each processing core comprises an arbiter, and the data communication device comprises an arbiter network formed by the arbiters in the processing cores. Different arbiters are connected through a connecting unit to realize data communication, and a first arbiter in the arbiter network is used for processing a first data access request accessing a first processing core where the first arbiter is located and sending a second data access request accessing a second processing core to the second arbiter; and the data is sent to a second arbiter corresponding to the second processing core through the connection unit. The arbiter network constructed based on the arbiters is provided in the embodiment of the invention, and more flexible, more efficient and low-delay data communication is realized.

The invention discloses a TTE-based real-time Ethernet bus telemetry data integration system, which comprises M levels of TTE bus network architectures and a plurality of cascade interaction machines, and is characterized in that the cascade interaction machines are used for realizing interaction of the two levels of TTE bus network architectures; each level of TTE bus network architecture comprises two pairs of data integrated devices which are redundant to each other, two pairs of switches which are redundant to each other, and at least one data collecting and editing device; each cascade interaction machine comprises two switches in pairs, wherein the two switches are redundant to each other, and all the devices are connected through a category 5 enhanced network cable. According to the multi-level TTE bus network architecture design for redundant transmission, the TTE bus data scheduling technology for optimizing the TDMA is adopted, and the TTE bus telemetering data integration technology for resetting and resetting and reframing of the data integration equipment is utilized, so that the large-bandwidth, strong-real-time and high-reliability transmission characteristics of the telemetering system are realized.

A Bluetooth dual-mode wireless communication mouse and an operating method thereof, the Bluetooth dual-mode wireless communication mouse comprising a mouse body and a receiver; the mouse body comprises a switching key and is configured to switch between a standard BLE communication mode and a simplified BLE communication mode when a short pressing operation is performed on the switching key; wherein in the standard BLE communication mode, the mouse body communicates with a host according to a standard BLE communication specification; and in the simplified BLE communication mode, the mouse body communicates with the host according to a simplified BLE communication specification through the receiver.

The invention provides a four-node flip self-recovery latch. The four-node flip self-recovery latch comprises an output soft error interception module, a node soft error interception module and a transmission gate module, the output soft error interception module comprises eight input ends and one output end, the eight input ends are N1, N2, N3, N4, N5, N6, N7 and N8 respectively, and the output end is Q; the output soft error interception module is used for ensuring that an output value is kept unchanged when multi-node overturning is caused by a soft error; the node soft error interception module comprises eight node soft error interception circuits with the same structure, and each node soft error interception circuit comprises eight input ends and one output end; the input of the eight-node soft error interception circuit is Q and seven bits of N1, N2, N3, N4, N5, N6, N7 and N8, and the output of the eight-node soft error interception circuit is the other bit of N1, N2, N3, N4, N5, N6, N7 and N8; the node soft error interception module is used for ensuring that respective output values remain unchanged when multiple nodes are flipped due to soft errors; the transmission gate module comprises nine input ends and nine output ends, the nine input ends are used for inputting data, and the output ends are Q, N1, N2, N3, N4, N5, N6, N7 and N8 respectively; and the transmission gate module is used for transmitting data to N1, N2, N3, N4, N5, N6, N7 and N8 in a data transmission mode.

This application discloses a magnetically coupled collaborative pipeline inspection robot system, relating to the field of pipeline inspection equipment technology. The system includes an internal robot and an external robot. The internal robot is located inside the pipeline, while the external robot is located outside the pipeline at a corresponding position, and the two are magnetically coupled together. During the inspection process, angular velocity, acceleration, and distance to the pipeline wall are collected to control the movement of the external robot. A camera on the internal robot captures images of the pipeline interior, which are analyzed by a vision processor to determine defects inside the pipeline. By employing a magnetically coupled dual-drive system and a Halbach array design, this application achieves contactless power transmission between the external and internal robots, eliminating the risks of entanglement, wear, and leakage explosion that may occur in high-risk environments such as oil and gas and power plants caused by cable-driven power supply structures, thus improving the safety of inspection operations and the stability of system operation.

The invention provides a continuous time pose estimation method based on a multi-resolution Hash map. The continuous time pose estimation method comprises the following steps: S1, acquiring laser radar data of mobile equipment at the current moment; s2, splitting each frame of laser radar data and converting the split data into global coordinate system laser radar data under a global coordinate system; s3, extracting a key point of each frame of laser radar data in the global coordinate system laser radar data, constructing a point-surface residual error based on a Hash map of all key points of the current frame of laser radar data, constructing a position consistency residual error and a speed consistency residual error of the current frame of laser radar data based on the previous frame of laser radar data, and constructing an optimization problem, solving the pose corresponding to each frame of laser radar data based on the optimization problem; and S4, updating the multi-resolution Hash map based on the pose of each frame of laser radar data, and removing out-of-view data in the multi-resolution Hash map, thereby realizing a rapid, efficient and low-delay continuous time pose estimation method.

The invention discloses a task management method and system for a digital person. The method comprises the following steps: initializing loading task information and state information and distribution rules of the digital person; state change information and distribution rules are monitored and updated in real time; based on the state and the task priority of the digital person in the memory, allocating a single task or a batch task to the digital person meeting the condition according to a preset allocation rule, setting a receiving timeout locking condition during task allocation, and reallocating if timeout is not confirmed; after it is detected that the task expires or is completed, corresponding task information is cleared up to recycle memory resources; through a distributed architecture and a master-slave node automatic switching mechanism, when the master node fails, the slave node automatically takes over task allocation. Through the technical scheme of the invention, the accuracy, flexibility and efficiency of task allocation and the ability to adapt to continuous changes are improved, high availability and stability are ensured, the load pressure of a traditional database is reduced, and the operation cost is effectively reduced.

The invention discloses an intelligent driving control system and a vehicle, and relates to the technical field of intelligent driving control, and the system comprises a main domain controller, an integrated multifunctional gateway and at least one to-be-synchronized device. The integrated multifunctional gateway is used for transmitting the first standard clock message issued by the main domain controller to the to-be-synchronized device; the to-be-synchronized device is used for performing timestamp marking on the acquired multi-mode sensing data based on the first standard clock message to obtain standard sensing data with time alignment; the integrated multifunctional gateway is also used for transmitting the standard sensing data to the main domain controller; and the main domain controller is used for generating driving decision data according to the first standard clock message and the standard sensing data. According to the method and the device, cross-module and cross-device data processing is carried out by adopting a distributed and centralized combined heterogeneous system architecture, so that the effects of reasonably distributing system data processing tasks and reducing the data delay of the system are achieved.

The present disclosure relates to: a communication technology for integrating IoT technology with a 5G communication system for supporting a higher data transmission rate than a 4G system; and a system thereof. The present disclosure can be applied to smart services (e.g., smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail business, security and safety related services, etc.) based on 5G communication technology and IoT related technology. The present disclosure relates to handover performed without random access in a wireless communication system.

The embodiments of the present application provide a data caching method, device, electronic device and computer-readable medium, which relate to the field of data storage. The method includes: based on the block information of the first data block in the cache, determining the time saved by the first data block to avoid the database or storage system from accessing the disk; based on the time, determining the second data block to be replaced from the cache; caching data based on the cache space of the second data block to be replaced. Through the embodiments of the present application, the database or storage system can make full use of the cache space, effectively reducing the time cost of the database or storage system accessing the disk, thereby effectively improving not only the data throughput of the database or storage system, but also the data delay of the database or storage system.

The present invention specifically discloses a method and system for automatic identification and determination of long-range high-precision marine targets, the method comprising the following steps: S1, training an acoustic model network and pre-storing it in a signal processing subcard; S2, the signal processing subcard receives the interference light signal of the optical fiber hydrophone array cable; S3, the analog-to-digital conversion module performs photoelectric conversion and analog-to-digital conversion on the received interference light signal and sends it to the corresponding modulation and demodulation module for phase modulation and demodulation to restore the sound signal of the marine target, and then uses the corresponding AI recognition module to perform voice extraction and target matching on the signal; S4, the host computer performs data scheduling and runs the pre-stored display and control software. The present invention uses the networked optical fiber hydrophone array cable to collect the sound signal of the marine target, and uses multiple signal processing subcards to perform parallel calculations on multiple data channels, effectively improving the target detection area and data processing efficiency, so that the target can be matched and identified accurately and quickly.

The application relates to the technical field of big data, in particular to a data dimension table generation method and device, a server and a storage medium, the method comprises the following steps: creating an automatic configuration project, and introducing remote procedure call dependencies, geographic indexes and group transaction monitor dependencies; providing a location-based service (LBS) service interface, receiving a calling request by using the LBS service interface, obtaining consumption data of a distributed publish / subscribe message system Kafka according to the calling request, and parsing the consumption data to obtain positioning data and a unique identifier of a vehicle; querying a topological tree by using the positioning data to obtain location coding data of the vehicle, querying a database by using the unique identifier to obtain vehicle information of the vehicle, generating a data dimension table according to the coding data and the vehicle information, and synchronizing the data dimension table to the database. Therefore, the problems that in the related art, the external access pressure is too large during the data dimension table generation process, the data delay is relatively long, and the scalability is poor are solved.

The application provides a stope mine pressure embedded intelligent sensing device, which comprises a pressure sensor, a sensor edge end, an embedded computing unit, a data bus and a communication engine, the pressure sensor is used for monitoring a mine pressure electric signal and is electrically connected with the sensor edge end, the sensor edge end performs analog-digital conversion on the mine pressure electric signal and is electrically connected with the embedded computing unit, the embedded computing unit performs real-time analysis and monitoring and early warning on the mine pressure digital signal after analog-digital conversion and is electrically connected with the communication engine through the data bus, and the communication engine feeds back monitoring data and early warning information to relevant personnel in real time. Through the embedded electronic technology, the device solves the problems of signal shielding and surrounding environment interference in the cable transmission process of monitoring data in the underground, improves the adaptability of the existing stope mine pressure monitoring system to the complex environment of underground mines, realizes real-time synchronization of monitoring data acquisition and prediction and early warning, and maximally improves the real-time performance of early warning.

The present application discloses a non-activated state configuration method, device and communication equipment, belonging to the field of communication technology. The non-activated state configuration method includes: when a relay terminal provides a relay service for a remote terminal, the relay terminal configures the relay link to a non-activated state; wherein the relay link is a relay link for providing a relay service for the remote terminal, and the relay link includes a side link between the relay terminal and the remote terminal and a Uu link between the relay terminal and a network side device. The technical solution provided by the present application can realize the configuration of the non-activated state of the side link of the relay network and improve the transmission performance of the relay network.

The invention discloses a regional culture VR guide system based on a block chain and a data processing method thereof, and relates to the technical field of digital culture guide, the system comprises a position information acquisition module used for acquiring position information of a user and generating corresponding VR scene data, and a block chain data retrieval module used for retrieving the corresponding VR scene data based on the position information. The regional culture data retrieval module is used for retrieving regional culture data related to the position from distributed nodes through a block chain network, and the data preprocessing module is used for preprocessing the retrieved regional culture data and optimizing the data transmission efficiency; according to the regional culture VR guide system based on the block chain and the data processing method thereof, the problem that continuous fluency of VR guide cannot be ensured under the condition of relatively poor network condition or relatively large fluctuation in the prior art and the problem that the balance between VR guide fluency and image quality is insufficient are solved.