405results about "Data acquisition and logging" patented technology

The invention discloses a fire fighting system intelligent management method and device based on intelligent property management, and relates to the technical field of data management. The intelligent management method and device for the fire fighting system based on the intelligent property management comprises the following steps: S1, dynamically triggering and collecting a multi-source fire fighting data set through multiple protocols, and temporarily storing the multi-source fire fighting data set at the edge in a normalized manner; s2, constructing an event full-period window and a ternary association index of the event, the time sequence data and the original message; s3, performing double-track storage of the semantic analysis data and the original message, and constructing multi-dimensional index association; s4, reconstructing a visual playback alarm process through edge cloud increment synchronization and a multi-dimensional time sequence chain; and S5, performing transient analysis, protocol upgrading and responsibility evidence obtaining based on the cloud data collaborative link and the original message data set. According to the method, the complete acquisition of the fire-fighting data and the reproducibility of the event process are effectively improved, and the problem that in the prior art, only polling recording of single-point alarm is carried out, and an original message is discarded, so that the transient process and message-level evidence is lost is solved.

Methods and apparatuses for athletic training optimization are disclosed. In one example, a fitness level change is identified. In one example, a current training intensity is updated to reflect an updated user fitness level.

The present disclosure provides an in-vehicle monitoring and tracking system for rental vehicles that detects smoking events within a vehicle cabin and logs these events with associated location data. The system employs specialized detection algorithms to accurately identify various types of smoke while minimizing false positives. Additional functionality includes accident detection through rapid deceleration monitoring, and animal presence detection through acoustic sensing. When events are detected, the system can either store the information for later retrieval or transmit real-time notifications with precise location data to rental company servers, enabling prompt response to policy violations and facilitating vehicle recovery after accidents.

The invention provides a multi-source heterogeneous data collection method and device, a storage medium and equipment. The method comprises the steps that a central scheduling module generates a data collection instruction according to a preset triggering condition; the central scheduling module awakens at least one RPA execution unit in the central scheduling module according to the data acquisition instruction, so that the awakened RPA execution unit calls the data acquisition module according to the data acquisition instruction, and sends the data acquisition instruction to the called data acquisition module; the data acquisition module generates at least one data calling signal according to the data acquisition instruction, and sends the data calling signal to at least one RPA acquisition unit in the data acquisition module, so that the RPA acquisition unit calls specific data from the processing platform subsystem according to the data calling signal; the data acquisition module sends the called data to the central scheduling module; and the central scheduling module integrates the called data, and sends the integrated data to the data storage module for storage according to a preset rule.

Systems and methods are described, and an example system includes an AI enhanced multi-source health data integration logic that receives a first source electronic health record (EHR) data from a first EHR system and a second source EHR data from a second EHR system, and transforms, according to a knowledge representation schema, health-related information content of the first source EHR data and the second source EHR data to a first source transformed health data and second source transformed health data. The system includes a collaboration platform, configured to host a multi-source transformed health data database, including the transformed first source health data and the transformed second source health data, and hosts AI-enhanced, multiple level telecollaborative analyses by a plurality of participants of the multi-source transformed health data database, generating health management data.

The invention relates to the technical field of data processing, in particular to a remote management system for experimental detection data of a traffic road section, which comprises a state acquisition and occupancy calculation module, a time sequence storage structure, a state acquisition and occupancy calculation module and a state acquisition and occupancy calculation module, the fluctuation characteristic gradient analysis module calculates the difference between the current occupancy rate and the historical occupancy rate to generate a fluctuation degree value, the sampling period dynamic decision module compares the fluctuation value with a threshold value to generate a target sampling interval, and the hardware servo and data packaging module adjusts the scanning frequency and generates a detection data packet. According to the method, a time sequence storage structure is constructed, the traffic flow fluctuation degree is quantified, the sampling interval is intelligently decided according to the fluctuation numerical value, the scanning frequency is adjusted in real time, the frequency is reduced to reduce redundancy when the traffic flow is stable, sampling is encrypted to capture features when fluctuation is violent, the data integrity is guaranteed, and the storage and transmission pressure is reduced. And efficient utilization of monitoring resources is realized.

A method for biosignal data transformation can include: determining a set of biosignal data, determining a brain state representation (e.g., an embedding) based on the biosignal data, and determining a biomarker value based on the brain state representation. The method can optionally include training a model (e.g., training a model used to determine the brain state representation), and / or any other suitable steps. A system for biosignal data transformation can include a biosignal device and a computing system.

A maintenance system for a medical device includes a user device configured to communicate with the medical device and execute maintenance tasks on the medical device and communicate with a user via a user interface of the user device or the medical device. The maintenance tasks may be executed by either device or both devices, and communication with a user may occur via a user interface of either device or both devices. The system may also include a server configured to communicate with one or both of the user device and the medical device. The maintenance tasks may include an electrical safety check, a physical check, a performance check, and a functional check. Examples of functional checks include validation of a transient current detector and a thermal cutout.

The invention relates to the technical field of data processing, and discloses a salt cavern gas storage brine discharging pipeline operation data processing method and system, and the method comprises the steps: periodically receiving a link detection data packet which is transmitted by a collection device and is provided with a transmission timestamp, and recording the arrival time of the link detection data packet; according to the sending timestamp and the arrival time, transmission characteristics of the link detection data packet are analyzed, and the transmission characteristics comprise transmission delay, jitter dispersion and out-of-order conditions; adaptively predicting a time offset pattern based on the transmission characteristics; generating a real-time calibration parameter according to the time migration mode; and receiving an actual data packet, and adjusting the timestamp of the actual data packet by using the real-time calibration parameter. According to the method, the limitation of traditional fixed compensation parameters is overcome, the time alignment precision of pressure and flow data flow is remarkably improved, leakage misinformation caused by time deviation is avoided, and the reliability and the operation and maintenance efficiency of a salt cavern gas storage brine discharging pipeline operation monitoring system are improved.

Example implementations described herein involve, for receipt of time series data from sensors of one or more assets in a system, executing feature extraction on the received time series data; identifying event types from the feature extraction; identifying pairs of event type and a window of the time series data; clustering motifs of the identified pairs to update a motif dictionary; estimating a likelihood of an event from the event types based on one or more discovered motifs from the time series data and an associated time series motif of the event; using a language model to generate associated event descriptions; providing, through a user interface, the estimated likelihood of the event, the associated time series motif, sequencing of the associated time series motif, and a recommendation; and for an acceptance of the recommendation through the user interface, executing the recommendation for the one or more assets in the system.

Embodiments of the present disclosure relate to automated optimization and / or evaluation of parameterizable models. With respect to optimization, some embodiments record or collect data according to a user instruction during the optimization of the parameterizable model. Based on such recording or collection, some embodiments then update a parameter during optimization, such as via local and / or global optimization. With respect to evaluation, some embodiments perform validation and / or benchmarking based on a type of parameterizable model and one or more performance metrics. Some embodiments perform local validation and / or global validation as part of the validation and / or benchmarking.

A data logger comprising a sensor interface for connecting at least one sensor or actuator to the data logger; an accessible memory (SD card) for storing data received from said at least one sensor or actuator; and a controller for controlling operation of the data logger wherein said data logger comprises a plurality of modules, each module having a housing electrically and mechanically connectable to a housing of an adjacent module; and wherein at least one module comprises the sensor interface and acts as a logging and / or actuation module (LAM) including at least a portion of said accessible memory (SD card); and at least one module connected to said at least one LAM acts as a control and communications module (CCM) and comprises the controller that controls communications within and external to the data logger.

Embodiments of the present disclosure provide a log parsing method and device. The log parsing method comprises: determining a log to be parsed, and carrying out tokenization processing on said log to obtain a log tokenization sequence; matching the log tokenization sequence with nodes in a prefix tree, and determining a candidate syntax template corresponding to the log tokenization sequence, wherein the prefix tree is constructed by the nodes and paths, the nodes are tokens in a log syntax template, each path represents an association relationship of tokens in the log syntax template, and the log syntax template is determined on the basis of an initial log; matching the log tokenization sequence with the candidate syntax template on the basis of a preset matching policy to obtain a matching result; and when the matching result does not satisfy a preset matching condition, using a large language model to parse said log, to obtain a parsing result. The method can improve the log parsing accuracy and reduce log parsing costs.

Techniques associated with ingesting data based on the catalog are discussed herein. In some examples, log data associated with a vehicle in an environment can be received. The log data can include at least one of location data, state data, or prediction data. A sequence of data can be identified as corresponding to a driving sequence based on a set of rules. An identification of the driving sequence involving the vehicle in the environment can be associated with the sequence of data in a database. An inquiry for retrieving the sequence of data or information associated with the driving sequence can be received. In response to the inquiry, the sequence of data or information associated with the driving sequence can be returned.

An error analysis device for an aerosol generating device includes: a communication interface configured to receive log data from the aerosol generating device; and a processor configured to determine at least one error that occurred in the aerosol generating device based on the log data that is received. The log data according to an embodiment may include logs corresponding to events that occurred in the aerosol generating device.

The present invention relates to the adaptive utilization of road surface information. The system comprises at least one of an information distribution device or an information processing device. The information distribution device collects vehicle information from vehicles traveling a pre-identified infrastructure deficient section in which the amount of road surface detection information collected about a road is not greater than a preset reference amount, and the information processing device determines the road surface condition of the infrastructure deficient section on the basis of the vehicle information provided by the information distribution device, detects the level of travel risk for each vehicle type with respect to the determined road surface condition, generates a warning message for safe driving according to the detected level of travel risk for each vehicle type, and provides the warning message and road surface information to the vehicle via the information distribution device.

The present disclosure relates to a device and method for generating avatar lip-sync animation based on multimodal biosignals, The device comprises a multimodal data collection unit configured to collect data including biosignal data including brain waves when a user imagines speaking and image data; a preprocessing unit configured to preprocess the multimodal data; a feature extraction unit configured to extract feature vectors including the user's biosignal feature and facial feature from the preprocessed multimodal data; an avatar generation unit configured to generate an avatar; a lip-sync reconstruction unit configured to predict the mouth shape and facial movement when the user imagines speaking by inputting the extracted feature vectors to a pre-prepared lip-sync reconstruction model; and a lip-sync animation implementation unit for implementing an avatar lip-sync animation by applying the mouth shape and facial movement predicted by the lip-sync reconstruction unit to the avatar generated by the avatar generation unit.

This application discloses a method and system for rapid contact line identification based on a parallel architecture. The daytime working mode of the identification method includes: collecting a contact line image to obtain a known image; normalizing the one-dimensional data of the known image to obtain the mean of the one-dimensional data at the bull's-eye position; constructing a one-dimensional matching template for the contact line based on the mean; calculating the template matching results of the one-dimensional image data at the bull's-eye and the pixels above and below the bull's-eye position, with the contact line position being the maximum template matching result; the nighttime working mode includes: using one-dimensional template matching to identify the image heights of 30, H / 2, and H-30 at the start, center, and end positions, respectively, as Pos0, Pos1, and Pos2; determining the positional relationship between the center position and the start and end positions, and interpreting the contact line position. This method improves the accuracy and speed of rapid contact line detection, meeting the detection requirements for contact network geometric parameters at branch and anchor sections.

Personalized experiences for a user are based on the input patterns of the user. Scrolling behavior on a touchscreen may be used to deliver personalized experiences. The point-by-point coarse scrolling data is aggregated and condensed on the user device being scrolled and the condensed data sent to a server for analysis to save bandwidth.

The present invention provides a device and method for predicting the occurrence of failures in underground conduit networks. [Solution] The device includes a reading module configured to read connection data, the connection data including data indicating one or more pipe segments and data indicating one or more valves, where the end of each pipe segment is connected to the end of another pipe segment or a valve; a clustering module configured to automatically generate one or more clusters from the connection data, where each cluster includes pipe segments that form a connection network between valves; a cluster failure likelihood calculation module configured to calculate the failure likelihood of each cluster by summing the failure likelihoods of the pipe segments included in each cluster; and a display module configured to display the one or more clusters and the failure likelihood of each cluster on a display.

Concentration development device 100, comprising: an optical detection unit, including one or more lenses 201, 202 capable of containing sensitive elements, these sensitive elements being configured to detect a user-supplied biological signal according to at least three operating modes; three switches for toggling between the different operating modes; a plurality of lighting units configured to indicate each of the operating modes by emitting a predetermined light signal; an information processing unit using artificial intelligence. Figure for the abstract: Fig 1

A bond-log interpretation system, apparatus, and computer-implemented method are disclosed. The system ingests a cement-bond log (CBL) containing variable-density log (VDL) data and at least one secondary data track (SDT). A processing core, coupled to toggleable lithology, casing-tally, cementing-data, and prior-CBL libraries, first executes a VDL-only assessment at each depth to flag possible discontinuities. For every flagged depth, the core correlates the concurrent SDT data with selected library information to confirm or clear the discontinuity, delineate imperfect intervals, and identify probable causes. Results are synthesized into an annotated integrity report that includes audit-trail metadata listing which libraries were enabled. In a multi-well deployment, multiple field units synchronize their libraries with a central repository over a secure network, allowing real-time, parallel analysis and fleet-wide visualization. The modular architecture permits on-the-fly enabling, disabling, and versioning of libraries while maintaining a single interpretation engine adaptable to diverse tools and formations.

The embodiment of the invention provides a message processing method and device and electronic equipment, and relates to the technical field of message processing. The method comprises the following steps: acquiring a target message, and determining the priority of the target message; caching the target message to a first database according to the priority of the target message; and transferring the target message with the cache duration exceeding a first preset duration in the first database from the first database to a second database. According to the scheme, the cache can be written in real time, the persistent data can be stored, and the system stability is ensured and the cost is reduced while the efficient message processing is maintained.

A method for performing direct logging of sensor data in a vehicle network logging system (VNLS) installed on an autonomous vehicle (AV), the VNLS comprising a network switch connected between an onboard sensor of the AV and an onboard computer of the AV, the network switch comprising a logger for logging sensor data to a disk, is described and includes providing a converter node on the network switch; receiving, using the converter node, data generated by the onboard sensor; and converting, using the converter node, the received data to a data record suitable for logging by the logger to the disk.

Conventionally, in order to hold data with a high sampling rate in a control device, it has been necessary to increase the capacity of ring buffers. A data management method for a semiconductor manufacturing apparatus includes acquiring, by a control device, data related to operation of the semiconductor manufacturing apparatus, identifying, by the control device, first data and second data of the acquired data, writing, by the control device, the first data to a first ring buffer at first temporal granularity and the second data to a second ring buffer at second temporal granularity coarser than the first temporal granularity, and extracting, by a data management device, the first and second data from the first ring buffer and the second ring buffer respectively and storing the first and second data in a database.

The terminal device of the present invention includes: a receiving unit that receives a first radio resource control (RRC) parameter that sets either a first repeat transmission type or a second repeat transmission type; and a transmitting unit that transmits a transport block scheduled in a DCI format via a PUSCH, and the transmitting unit applies the repeat transmission type set by the first RRC parameter to repeatedly transmit the transport block.

Automated optimization relating to parameterizable models in a distributed computing environment is disclosed. Embodiments of the present disclosure relate to automated optimization and / or evaluation of parameterizable models. As to the optimization, some embodiments record or collect data according to user instructions during the optimization of the parameterizable model. Based on such recording or collection, some embodiments then update parameters during optimization, such as via local and / or global optimization. For evaluation, some embodiments perform verification and / or benchmarking based on a type of parameterizable model and one or more performance metrics. Some embodiments perform local verification and / or global verification as part of verification and / or benchmark testing.

A system has a portable emissions sensor on a vehicle. The portable emissions sensor is configured to measure emissions generated by the vehicle. A portable emissions data receiver communicates with the portable emissions sensor. The portable emissions data receiver is configured to receive emission data measured by the portable emissions sensor.