182results about "Synchronous operation arrangements" patented technology

The invention discloses a construction engineering risk assessment method and system for multi-source anomaly monitoring, and particularly relates to the field of construction engineering risk assessment, comprising the following steps: analyzing equipment-to-component node mapping and return delay characteristics based on multi-source monitoring data received in an idle task period; establishing a cross-device time alignment model and a pseudo-synchronization section time migration trajectory, identifying a potential abnormal path set through a time delay drift trend, and providing a time feature basis for subsequent structure anomaly reasoning and risk assessment; deducing a node triggering sequence and a time causal chain based on the final pseudo-synchronization segment index matrix and channel path mapping; multi-source monitoring data is received in an idle task period, and a cross-device time alignment model is established, so that the problem of time sequence dislocation caused by mechanisms such as cache delay and packet loss re-sending is effectively identified, and historical abnormal data is prevented from being misjudged as a future risk from the source.

The invention discloses an intelligent industrial wastewater treatment method based on edge calculation and multi-modal data fusion, which comprises the following steps: synchronously acquiring various data of an industrial wastewater treatment site through edge nodes, automatically adjusting and aligning the generation time of each data, and ensuring that the time error of different data is less than a set threshold value; organically fusing the image features, the chemical parameters and the component analysis report to generate pollutant description features; constructing a simplified simulation model on the edge equipment, and predicting the diffusion trend of the wastewater pollutants by using the simulation model based on the pollutant description characteristics; and when the network is interrupted, the edge equipment is automatically switched to a local mode, and the operation is continued by using the stored model and the wastewater data acquired in real time. According to the method, the simulation model is deployed through the edge equipment, so that the calculation amount can be greatly reduced, the diffusion trend of wastewater pollutants can be accurately predicted, effective treatment measures can be taken in time, and the stability and reliability of an industrial wastewater treatment system are improved.

The invention provides a water network monitoring method and system based on intelligent water supply and drainage, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data of a water network in real time, carrying out the unified format conversion and time-space synchronization processing of the multi-source heterogeneous monitoring data based on a protocol adaptive fusion mechanism, and obtaining a standardized multi-source time series data set; performing exception identification processing on the standardized multi-source time sequence data set based on the time-varying statistical characteristics and the dynamic control limit to obtain a candidate exception event set; performing multi-sensor cross validation processing on the candidate abnormal event set based on a pipe network topological space association knowledge graph to obtain a high-confidence abnormal event set; performing reverse scene matching analysis on the high-confidence abnormal event set based on a hydraulic numerical simulation model to obtain a preliminary positioning area; performing positioning optimization processing on the preliminary positioning area based on a graph theory pressure wave propagation algorithm to obtain an abnormal position; and performing multi-dimensional fusion display processing on the abnormal position to generate a monitoring report. According to the method, accurate positioning of the abnormal position is realized.

The invention relates to the technical field of cloud computing monitoring, in particular to a water consumption monitoring system based on a cloud platform, which comprises a data trend identification module, a water consumption transmission scheduling judgment module, a water consumption interval reconstruction module, a user behavior identification module and a scheduling feedback correction module. According to the method, by introducing a sequence matching strategy of a timestamp and a flow value, the recognition precision of continuous flow change is improved, terminal grouping and amplitude consistency screening are combined, the trend sequence stability is enhanced, short-time fluctuation interference is reduced, extreme value positioning and state segmentation processing are utilized, and multi-level sensing of water volume change is achieved; flow map features are enriched, the time sequence and behavior start-stop information are fused to identify the offset state, the response ability to water consumption mode changes is improved, a dynamic allocation mechanism is constructed through response codes and transmission features, channel resource allocation is optimized, and the data processing and resource response efficiency of the system in an abnormal state is improved.

The invention discloses an electric energy metering method of a high-voltage electric energy meter. The electric energy metering method comprises the following steps that a main meter and an auxiliary meter are powered on and initialized; the main meter operates the first metering module and sends a communication handshake signal to the auxiliary meter, and the auxiliary meter operates the second metering module and responds to the communication handshake signal sent by the main meter to establish a communication link; the main meter and the auxiliary meter respectively read register values of the first metering module and the second metering module, and calculate an A-phase electric parameter and a C-phase electric parameter; the main meter acquires a C-phase electric parameter from the auxiliary meter regularly, and calculates a combined-phase electric parameter according to the A-phase electric parameter and the C-phase electric parameter; the main meter sequentially writes the combined-phase register value and the A-phase register value into a first metering module, and calculates combined-phase electric quantity and A-phase electric quantity according to the combined-phase register value and the A-phase register value respectively; and the auxiliary meter synchronously writes the C-phase register value into the second metering module and calculates the C-phase electric quantity according to the C-phase register value. According to the invention, the technical problem of how to optimize the existing high-voltage electric energy meter and realize high-precision measurement and metering of three-phase electric parameters of a high-voltage power grid is solved.

The invention discloses a water supply control system based on an Internet of Things water meter and a management platform thereof, and relates to the field of water supply system adjustment, and the system comprises an Internet of Things water meter module, a multi-sensor module, a data processing module, a transmission fusion module and cloud equipment. The NB-IoT module and the LoRa module are subjected to data distribution through the transmission fusion module, the reliability and the real-time performance of data transmission of the water meter of the Internet of Things are improved, and the preprocessing module is used for conducting denoising, data repairing and other processing on all data subsets in the NB-IoT module in the initial stage; a proper compression algorithm is matched through a dynamic compression module according to intervals of data subsets, a dynamic distribution transmission module constructs a distribution model of multi-data subset optimization transmission, and for simultaneous transmission of a large number of Internet of Things water meter data, it is guaranteed that transmission of multiple Internet of Things water meters is rapid and synchronous, and the transmission efficiency is improved. And rapid and accurate judgment and effective management of the system on fault problems are improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central device may transmit a first communication to initiate a first communication event. The central device may transmit a first synchronization message associated with a first peripheral device and a second synchronization message associated with a second peripheral device during a first time resource and a second time resource, respectively, associated with a first communication event. The central device may transmit a second communication to initiate a second communication event. The central device may monitor, during the second communication event, for a first response from the first peripheral device during a third time resource, and for a second response from the second peripheral device during a fourth time resource. Numerous other aspects are described.

The invention discloses a toll station special situation emergency processing system integrated with a localized AI large model, and belongs to the technical field of toll station management and control. Comprising an edge computing device, a multi-element sensing module, a localization AI large model engine, a dynamic rule engine and an execution control interface. The edge computing device is responsible for being deployed in a toll station site and is embedded hardware with AI acceleration computing power, and the multi-source sensing module is responsible for being connected with a camera, a millimeter wave radar and an ETC-RSU device. According to the invention, by deploying the lightweight large model in the edge server, millisecond-level identification and automatic disposal of special situations such as vehicle card punching and dangerous goods leakage are realized. The system adopts a multi-modal data fusion technology, and is combined with a dynamic plan engine, so that the operation of core functions can still be ensured in an off-network environment, and the emergency response efficiency and safety of the toll station are remarkably improved.

The invention discloses a multifunctional intelligent controller based on real-time parameters, which belongs to the technical field of instrument intelligent control and consists of a core processing unit, a multi-sensor interface module, a communication module, a remote maintenance module and a power management module. The core processing unit is integrated with a high-performance microprocessor and a real-time operating system to realize multi-task scheduling of data acquisition, processing, storage and the like; the multi-sensor interface module dynamically matches sensor types to guarantee stable connection; the communication module supports various wireless and wired communication, so that remote maintenance and OTA upgrading are facilitated; the remote maintenance module constructs a two-way communication link based on the cloud platform to ensure data security; the power management module adopts dual-mode power supply, a detachable structure realizes mode switching, and portability and stability are both considered. The controller can be compatible with various instruments, supports multi-parameter synchronous measurement, achieves automatic calibration, effectively solves the problems of an existing instrument controller, and is widely applied to the fields of industrial automation, instrument monitoring and the like.

This application provides a clock synchronization method and a control system for a control system. The control system includes a first controller and a second controller. The first controller includes a first clock unit and a second clock unit, and the second controller includes a third clock unit. The clock of the first clock unit is different from the clock of the third clock unit, and the clock of the second clock unit is the same as the clock of the third clock unit. The method includes: the first controller and the second controller adding a timestamp to sensor data using a first clock, wherein the first clock is either the clock of the first clock unit or the clock of the third clock unit, ensuring clock consistency of the sensor data, thereby improving the accuracy of subsequent business processing.

This invention discloses a method and system for risk assessment in building engineering based on multi-source anomaly monitoring, specifically relating to the field of building engineering risk assessment. The method includes analyzing the mapping and backhaul latency characteristics of equipment-to-component nodes based on multi-source monitoring data received during idle task periods, establishing a cross-device time alignment model and a pseudo-synchronization segment time offset trajectory, identifying potential anomaly path sets through latency drift trends, and providing a temporal feature basis for subsequent structural anomaly reasoning and risk assessment. Based on the final pseudo-synchronization segment index matrix and channel path mapping, the method derives the node triggering order and temporal causal chain. By receiving multi-source monitoring data during idle task periods and establishing a cross-device time alignment model, the method effectively identifies timing misalignment problems caused by mechanisms such as cache latency and packet loss retransmission, preventing historical anomaly data from being misjudged as future risks from the source.

A wearable electronic device and method are disclosed. The wearable electronic device includes a short-range communication circuit, memory, display and a processor. The processor implements the method, including: establishing a first communicative connection to a first external electronic device, via a short-range communication circuit, receiving, via the short-range communication circuit, from the first external electronic device, first information related to a second external electronic device that is communicatively connected to the first external electronic device through a second communicative connection, displaying, on a display, at least a portion of the received first information, and transmitting, via the short-range communication circuit, to the first external electronic device, a control command for the second external electronic device, based on receiving a user input to information displayed on the display.

The invention relates to the technical field of signal transmission, in particular to a centralized meter reading method, an acquisition terminal and a fusion terminal. The method comprises the following steps: after establishing Bluetooth communication connection with a plurality of electric energy meters, dividing the plurality of electric energy meters into different communication quality groups based on a joint evaluation result obtained by measured Bluetooth signal strength and communication error rate of each electric energy meter, and configuring adaptive communication configuration parameters for each group; according to the communication configuration parameters, a differential broadcast strategy is adopted to synchronously send a meter reading instruction to each electric energy meter, and power utilization data is received in parallel; and in response to a polling request of the fusion terminal, sending the cached power consumption data to the fusion terminal. By jointly evaluating the Bluetooth signal strength and the communication error rate, dynamically configuring the communication configuration parameters and implementing the differentiated broadcast strategy, the concurrency and reliability of meter reading in a high-noise environment can be improved, the communication conflict and retransmission rate are effectively reduced, and the data acquisition efficiency and the overall stability of centralized meter reading are improved.

The invention discloses a remote data transmission prediction method and system for cable thermal degradation gas, and relates to the technical field of cable fault detection, and the method comprises the steps: carrying out the high-precision synchronous collection and transmission of a plurality of gases released in the cable thermal degradation process; carrying out feature extraction on the collected data; and inputting the data into a multi-parameter prediction model for prediction analysis. According to the invention, cable thermal degradation gas data is synchronously collected in a high-precision manner, remote data transmission is realized by using a wireless technology, the limitation of traditional 4G communication is broken through, cross-region real-time monitoring is supported, and a global view is provided for safe operation of a power system. Abnormal fluctuation of the gas concentration can be accurately identified, real-time early warning is carried out on potential faults according to abnormal scores, and key decision support is provided for an electric power system. The power cable monitoring system has high self-adaptive capability, can be automatically adjusted to cope with different cable types and environmental conditions, has good expandability, and is suitable for various power cable monitoring scenes.

An electronic device, according to an embodiment, may comprise; a communication module comprising communication circuitry; and at least one processor comprising processing circuitry. At least one processor, individually and / or collectively, may be configured to detect a first remote control device; establish a communication connection with the first remote control device through the communication module; determine a first external electronic device to be controlled using the first remote control device; establish a communication connection between the electronic device and the first external electronic device; map at least one key of the first remote control device and at least one function of the first external electronic device; and control the first external electronic device to perform the at least one function using the at least one key of the first remote control device and the first remote control device.

The invention belongs to the technical field of monitoring, and particularly provides a multi-objective optimization simulation water conservancy flood prevention monitoring method, which comprises the following steps: collecting real-time water flow data through a high-density sensor network, calibrating original signals collected by different monitoring points by adopting a time synchronization mechanism, and obtaining a water flow sequence under the same timestamp; according to the water flow sequence under the same timestamp, noise and deviation are processed through a Kalman filtering algorithm, heterogeneous data of the upstream monitoring point and heterogeneous data of the downstream monitoring point are fused, and a smoothed multi-source fusion water flow value is obtained; if the smoothed multi-source fusion water flow value exceeds a preset threshold value, triggering spatial interpolation calculation, and correcting a time-space difference in combination with a terrain model to obtain an overall water flow distribution diagram of the river reach; extracting peak region features from the overall water flow distribution diagram of the river reach; the invention aims to solve the problem that river water flow monitoring and flood risk prediction cannot be performed in the prior art.

The disclosure relates to a method for synchronising data of a power transmission line. The method comprises obtaining voltage measurements and current measurements from a local end and a remote end of the power transmission line; obtaining voltage and current phasors of the local end and the remote end using the voltage and current measurements; determining, whether synchronisation of the voltage and current measurements has been lost and determining a synchronisation angle based on the determination of whether synchronisation of the voltage and current measurements has been lost; and synchronising the voltage and current measurements using the synchronisation angle. Furthermore, a corresponding device and computer-readable storage medium are provided.

The invention provides a data alignment method and system and a storage medium. The method comprises the steps that world time information is acquired, and a constraint mode of a trigger signal is selected; outputting a trigger signal to a corresponding sensing device according to the world time information and the constraint mode, so that each sensing device obtains sensing data based on the trigger signal; and based on the constraint mode, selecting a corresponding alignment mode to perform alignment processing on the sensing data. According to the method provided by the invention, the problem that a back-end perception fusion application cannot obtain accurate perception information due to the fact that the perception contents of the perception devices are not matched is solved, and the perception data collected by the multiple perception devices are effectively aligned.

A data alignment method, a system, and a vehicle-mounted terminal. The data alignment method comprises: acquiring world time information and selecting a constraint mode for a trigger signal; on the basis of the world time information and the constraint mode, outputting the trigger signal to corresponding sensing devices, so that the sensing devices acquire preliminary sensing data on the basis of the trigger signal; and on the basis of the constraint mode, selecting a corresponding alignment mode to perform alignment processing on the preliminary sensing data, so as to acquire final sensing data. The present application solves the problem that a back-end sensing fusion application cannot obtain accurate sensing information due to mismatch between sensing content of sensing devices.

This invention discloses a network synchronization device that may include a matched filter. The matched filter may be configured to generate an event for synchronizing the operation of elements in the network, at least in part in response to a timing frame generated at a network switch. The event for synchronizing the operation of the element may include a first event generated at least in part in response to first information associated with a first element and a second event generated at least in part in response to second information associated with a second element. Related systems and methods are also disclosed.

This application discloses a method and system for pre-collecting curve data based on user clustering analysis. The method includes: first, acquiring the data collection messages sent by the concentrator; then, performing clustering analysis on the user behavior in the distribution area based on the data collection messages to generate multiple user types; next, sending a broadcast start collection command to the carrier station; and upon receiving the collection completion instruction from the carrier station, collecting the carrier station's data in a unicast concurrent manner according to the multiple user types. This application enables refined management of different users at the carrier level and achieves higher-frequency collection functions for different user types, improving the flexibility and reliability of carrier services while ensuring data integrity and synchronization.

The present invention discloses a method and apparatus for analyzing protocol data bits of an AK protocol wheel speed sensor, the method including the steps of receiving a current signal transmitted by an AK protocol wheel speed sensor and converting the current signal into a first voltage signal and a second voltage signal, capturing the times of the rising and falling edges of the first voltage signal and the second voltage signal and saving a first timestamp set and a second timestamp set, obtaining timestamps of a complete set of protocol data bits as protocol data timestamps based on the first timestamp set and the second timestamp set, and analyzing the protocol data bits based on the protocol data timestamps to obtain a value of each protocol data bit. The embodiment of the present invention can reduce product costs, ensure supply chain security, and improve enterprise competitiveness.

Method for time synchronization of sensor units (SU) in a distributed system, wherein sensor data (SD) are acquired by the sensor units (SU) and transmitted to a central unit (CU) via a radio network (RFN), and wherein, upon acquisition of sensor data (SD), a further, current value of the internal time unit (FC) of the respective sensor unit (SU) is stored, and wherein the acquired sensor data (SD) is assigned at least the value of the internal time unit stored upon reception of the characteristic time feature of the identification signal, the associated transmitter identification of the identification signal, and the further value of the internal time unit (FC) stored upon acquisition of the sensor data (SD) and are transmitted together with the sensor data (SD) to the central unit (CU), and wherein the central unit (CU) acquires voltage and phase values ​​of at least one of the three phase conductors of a power supply network as a current phasor over more than one measurement period (p).and the current phasors of the respective sensor unit (SU) are aggregated into aggregated current phasors (IH1p), and the aggregated current phasors (IH1p) are transmitted to the central unit (CU), and in the central unit (CU) powers are calculated in phase from the voltage values ​​and the aggregated current phasors (IH1p).

The present disclosure relates to systems and methods for clock synchronization. The system may include a reset signal generator connected with a plurality of detectors. The reset signal generator may be configured to generate a set of preliminary reset signals to be detected and transmit the set of preliminary reset signals to the plurality of detectors. Each of the set of preliminary reset signals may have a different phase. Each of the plurality of detectors may be configured to generate first feedback data for each of the set of preliminary reset signals and transmit the first feedback data to the reset signal generator. The reset signal generator may be further configured to generate, for each of the plurality of detectors, a reset signal based on the first feedback data and transmit the reset signal to each of the plurality of detectors. Each of the plurality detectors may be further configured to execute a clock synchronization in itself based on the reset signal.

In this information output method, movement information is acquired, said movement information relating to the movement of moving bodies (1) that can move autonomously and can be operated remotely and / or monitored remotely, place information is acquired, said place information relating to a remote request place where remote operation and / or remote monitoring is requested, it is determined on the basis of the movement information and the place information whether two or more moving bodies (1) will be located in one or more remote request places at the same time as one another, and if it is determiend that two or more moving bodies (1) will be located in one or more remote request places at the same time as one another, control information is generated, said control information being for controlling at least one moving body (1) among the two or more moving bodies (1) such that the two or more moving bodies (1) will not be located in one or more remote request places at the same time as one another, and said control information is outputted.

Disclosed herein is an electronic device that includes a plurality of user accessible control buttons, a memory module, and at least one processor coupled to the memory module. The electronic device is to be paired with another electronic device. The processor is configured to: generate a pairing message comprising information that specifies a configuration and capabilities of the electronic device, wherein the information lists the user accessible buttons; monitor user actions resulting from performing a sequence that is displayed on a display device, wherein the sequence was generated by the another electronic device in response to receiving the pairing message and based on the information in the pairing message, such that the sequence contains actions that can be performed using the electronic device; and broadcast indicia specifying the monitored user actions, wherein the another electronic device receives the indicia and determines that the monitored user actions match the sequence and, in response, pairs with the electronic device.

A method collects data in a network having a consumption meter as part of a supply network and containing a sensor. The sensor contains a measuring element which provides raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor contains a communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance. On a basis of the correlation model, time stampings of successive raw measurement data in the sensor are generated, the time stampings are stored in the memory. The time stampings are transmitted over a wired connection and / or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated. Whereas raw measurement data is used for on-demand network analysis.

To time-synchronize video information and bus message information.SOLUTION: A method according to the present invention includes: defining a time stamp of video information as a base time stamp; when recording is activated, acquiring a time stamp T0 of a head frame of the video information, matching a time stamp of a head frame of a bus message with the time stamp T0 of the head frame of the video information, and recording a time stamp Ty of each frame of the bus message with the matched time stamp; when the recording is stopped, acquiring a time stamp T1 of a tail frame of the video information and a time stamp T2 of a tale frame of the bus message; deriving a proportionality coefficient k=(T1-T0) / (T2-T0); traversing all the recorded bus messages; modifying the time stamp ty of each of the frame to Tx=T0+(Ty-T0)*k to store it; and recording a time stamp Tx of each of the frames of the bus messages using a clock of the video information as reference.SELECTED DRAWING: Figure 1