75 results about "Continuous recording" patented technology

The invention discloses a monitoring management method and system for an artificial intelligence development platform, particularly relates to the field of computer system monitoring management, and is used for solving the problems of unstable attribution of monitoring fragments and inconsistent alarm interpretation in a switching scene. A training task continuous identifier is generated based on a submission record, a running instance identifier mapping table is established, a monitoring data stream is collected, a monitoring fragment is formed when a switching event arrives, a switching time sequence alignment index and a training semantic continuation index are calculated, and sequence inference is executed to obtain a fragment attribution result. Generating a training task continuous record according to the training task continuous identifier, generating a switching instruction, executing consistency verification on the training task continuous record to form a consistency verification result, triggering a correction instruction to update the mapping table and reconstruct the training task continuous record, and revising a boundary echo window construction rule and a semantic anchor point deduction rule at the same time; and stable unification of monitoring affiliation and explanation caliber is realized.

The embodiment of the invention discloses a cooling liquid flow distribution method, device and equipment for a liquid cooling server and a storage medium, and the method comprises the steps: collecting the core temperature and power consumption data of each calculation unit in the server in real time, and continuously recording the temperature time sequence change; based on real-time heating power calculation fused with temperature and power consumption information, the heating power proportion of each unit is determined; further, for the unit with the heating power exceeding the threshold value, a dynamic weight factor is introduced to adjust the corresponding expected flow proportion; a closed-loop controller is adopted to adjust the opening degree of a liquid cooling branch valve, so that the actual flow accurately tracks the expected value; and finally, performing adaptive optimization on the dynamic weight factor according to the temperature change rate to form closed-loop control. Therefore, the method effectively solves the problems of local overheating and flow waste caused by uneven load in a multi-heat-source environment, the heat dissipation energy efficiency is remarkably improved, the system reliability is remarkably improved, and the service life of hardware is remarkably prolonged.

A method of monitoring a condition prevailing inside a piping system with respect to an impairment due to accretion, abrasion or corrosion caused by fluid(s) flowing through the piping system is disclosed, comprising the steps of: installing at least two measurement devices susceptible to an impairment and configured to measure variables indicative of the impairment; wherein the measured variables include at least two variables exhibiting a different dependency on the impairment; continuously recording data including time series of measured values of the variables measured; based on training data included in the data determining a dynamic reference behavior of the variables corresponding to time dependent distributions of values of the variables to be expected of the measured values when the measurement devices are unimpaired; repeatedly determining a deviation between a monitored behavior of the measured values of the variables and the reference behavior.

The invention relates to an inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, and discloses an inventory data synchronization and consistency verification system which realizes continuous recording of inventory operation during a network disconnection period through network state detection and local cache, performs batch transmission after network recovery through a synchronous uploading and verification mechanism, and ensures data integrity. According to the inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, data conflicts are automatically solved through a conflict detection and strategy processing module, a difference report is generated through consistency verification, and secondary synchronization is executed, so that safe synchronization and final consistency guarantee of inventory data are achieved, and it is ensured that the service process is continuous and stable. The system is characterized by comprising a network state detection module, a local cache module, a transaction log management module, a synchronous uploading module, a conflict detection module, a conflict resolution strategy module, a consistency verification module and an abnormity alarm and manual intervention interface module.

The invention discloses an early-stage intelligent monitoring system for citrus reiculata Blanco canopy diseases and insect pests based on multispectral imaging, and belongs to the technical field of agricultural information. The system comprises a multispectral imaging module, a three-dimensional point cloud acquisition module, a data fusion module, a time sequence data analysis module, an intelligent identification module and a monitoring result output module. The method comprises the following steps: synchronously acquiring a multispectral image and laser radar point cloud data of a citrus reiculata tree canopy, and generating a point cloud model through spatial registration fusion; continuously recording model data of a plurality of time points, and extracting a time sequence feature vector; identifying disease and pest types and severity by using a deep learning model; and outputting a result to the user terminal. According to the invention, the problem that large-range and high-precision early monitoring of diseases and insect pests of citrus reiculata canopies is difficult to realize in the prior art is solved, early discovery, precise positioning and trend early warning of the diseases and insect pests are realized through air-space-ground integrated data fusion and intelligent analysis, and the intelligent level of orchard management and the disease and insect pest control efficiency are effectively improved.

The invention relates to the technical field of electronic contract signing, in particular to an electronic contract signing method and system for video recording willingness authentication, and the method comprises the steps: associating a contract with signing party information through generating a unique task identifier, automatically triggering video recording in a signing link, and completing identity verification in advance; then multi-dimensional information including biological characteristics, willingness statement audio and a signing operation process is synchronously collected in the continuous recording process, finally, characteristic values of a recorded file and a contract file are calculated respectively, and the characteristic values, digital signatures and task identifiers are fused and stored in a tamper-proof mode. The real-time and strong association binding of the video evidence and the electronic contract on the data level is realized, the traceability, tampering prevention, completeness and credibility of the whole signing process are ensured, and the technical problems that in the prior art, the audio-visual evidence and the electronic contract are mutually independent, loose in association and easy to tamper, and a complete evidence chain with judicial proving power is difficult to form are effectively solved.

A robotic insurance platform is disclosed that transforms an autonomous service robot into a tamper-resistant “digital witness” capable of supplying legally probative evidence without human intervention. The robot is equipped with surround video cameras, a spatial microphone array, an on-board processor, a cryptographically isolated secure enclave, a wireless communication module, and a rolling-buffer memory that retains encrypted audio-video data for a configurable period such as forty days. A companion mobile application enables an insured user to register, perform know-your-customer identity verification, and pair the robot with an insurance policy stored on a cloud server that hosts an claim-decision engine and policy database. Following explicit verbal consent from the user, the robot records continuously while performing ordinary tasks. When an incident is detected—either by on-board heuristics or by a user-initiated claim request—the processor extracts a time window surrounding the event, computes a cryptographic hash of the clip inside the secure enclave, and commits that hash as an immutable anchor to a permissioned or public blockchain ledger. Only after blockchain confirmation is the encrypted clip transmitted to the insurance server, where the claim-decision engine verifies integrity, applies machine-learning analytics to determine causation, and issues a coverage determination. Approved claims trigger repair dispatch, replacement shipment, or direct monetary reimbursement, while unclaimed data exceeding the retention interval are securely erased. The platform delivers objective, bias-free evidence, virtually eliminates false claims, and reduces end-to-end settlement time from weeks to minutes, thereby lowering operational costs for insurers and increasing transparency for policyholders.

The invention relates to the technical field of environment monitoring, in particular to an internet-of-things-based breeding environment monitoring system for pond turtles, and the system comprises a turtle movement trajectory tracking module which is used for collecting real-time images of an incubator, comparing pixel differences among continuous image frames to carry out background subtraction, and recognizing a moving foreground target. According to the method, the pixel differences between image frames are continuously compared, the geometric center point of the moving target is calculated, continuous recording of the moving tracks of the water tortoise individuals in the cultivation box is achieved, the moving area is gridded, the occurrence probability is calculated by counting the frequency that coordinates fall into all units, an objective data basis is provided for environment optimization, and the method is suitable for large-scale popularization and application. Meanwhile, multiple groups of temperature sensors are arranged at key positions such as a spawning area and a drying platform, multiple paths of environment sensing redundant numerical values are obtained, the state range is predicted according to a water body thermal inertia model, multiple paths of readings are updated and calibrated, deviation data are effectively recognized and eliminated, and the reliability of environment monitoring data and the fault tolerance of the system are improved.

A method for training a computer-based machine learning model to assess a characteristics-of-interest in embryos such as viability, sex or genetic superiority / inferiority by processing video of each of a plurality of embryos and wherein a subset of the embryos each embodies the characteristic-of-interest. The method includes obtaining (taking or otherwise procuring) a plurality of training videos, each video being of a target embryo and each video having a real-time frame speed (specifically not time-lapse frame speed) over a continuous recording duration of ten minutes or less. Each video includes image data representing micro-movement of the target embryo. The image data is processed thereby generating a computer-based machine learning model for assessing the characteristic-of-interest in future embryos from image data of those embryos.

The utility model discloses a robinia pseudoacacia volumetric water content and environmental factor acquisition device. The device comprises an adjustable mounting rod; the environment factor acquisition part is arranged on the adjustable mounting rod and is used for acquiring environment factor data in real time; the plurality of robinia pseudoacacia data acquisition parts are used for respectively acquiring robinia pseudoacacia trunk data of the plurality of robinia pseudoacacia; and the electric appliance mechanism is arranged on the adjustable mounting rod, is electrically connected with the environment factor acquisition part and the robinia pseudoacacia data acquisition part, and is used for controlling the environment factor acquisition part and the robinia pseudoacacia data acquisition part to work and sending the acquired environment factor data and robinia pseudoacacia trunk data to an external monitoring terminal for processing and analysis. According to the utility model, the environmental factor data is acquired in real time through the environmental factor acquisition part, and the robinia pseudoacacia trunk data is acquired in real time through the robinia pseudoacacia data acquisition part and is sent to the external monitoring terminal for processing and analysis, so that the relationship between the volume water content of the robinia pseudoacacia and the environmental factors can be obtained; and real-time monitoring and continuous recording can be realized while the efficiency is high.

This utility model relates to a multi-protocol compatible data communication and acquisition device, including a main control unit, at least one pluggable interface unit, and a non-volatile memory. Each interface unit is equipped with an in-situ detector and an onboard identification information memory. The in-situ detector is electrically connected to the main control unit via a freeze control line and a recovery confirmation line, and the onboard identification information memory is electrically connected to the main control unit. The non-volatile memory is an FRAM or NVRAM, connected in parallel with a supercapacitor to complete continuous recording during insertion / removal or power failure. The main control unit is electrically connected to the non-volatile memory and establishes corresponding data channels with each interface unit. When an interface unit is inserted / removed or disconnected, the in-situ detector triggers the main control unit to freeze the corresponding data channel via the freeze control line. During the freeze period, the main control unit writes continuous records (including segment numbers and water level lines) into the non-volatile memory and confirms them via the recovery confirmation line after unfreezing.

Data processing system for the automated processing and analysis of large data sets in scalable network systems, comprehensive a plurality of processing units distributed from one another, a data acquisition unit for the continuous recording and pre-structuring of incoming data, a control unit for assigning data processing tasks to the processing units, as well as a storage unit for storing raw data and processing results, characterized by the fact that A hardware-implemented preprocessing unit is provided which segments and classifies incoming data structures based on defined structure and integrity parameters and only releases data for analysis that meets predefined processing conditions, whereby the processing units execute parallel analysis processes and the results are merged in a consistent state space.

The invention discloses a continuous recording method and device and electronic equipment. The method comprises the steps that a low-power-consumption power domain of the system is configured to control the system to enter a sleep mode, a microphone of the low-power-consumption power domain continuously collects audio data, a continuous recording controller of the low-power-consumption power domain carries out abnormal sound detection on the audio data to obtain a detection result, and if the detection result is that abnormal sound is detected, the system is awakened. According to the invention, the low-power-consumption power domain is used for continuous recording, after the system enters the dormant state, the low-power-consumption power domain still keeps working, and abnormal sound detection can be carried out on the audio data collected by continuous recording, so that continuous recording is realized in a low-power-consumption mode, and the requirement of long-time use of battery products is met.

The invention provides a gear hobbing machine automatic production line monitoring method and system based on artificial intelligence, and the method comprises the steps: firstly receiving a dynamic data sequence which is transmitted by a gear hobbing machine automatic production line in real time and continuously records a working state, namely, a gear hobbing machine operation state flow; and dynamic association modeling is carried out through an artificial intelligence model, and a structured feature set representing association relationships among the operation states, namely, a gear hobbing machine operation state association map, is generated. And tracing a cause chain of abnormal operation based on the operation state association map, and constructing a regulation and control scheme combination aiming at each link according to the cause chain, namely a gear hobbing machine operation regulation and control strategy set. And finally, converting the regulation and control strategy set into a standardized instruction, and sending the standardized instruction to a production line control terminal. According to the invention, real-time, accurate and intelligent monitoring of the automatic production line of the gear hobbing machine is realized, the operation stability and production efficiency of the production line are effectively improved, and the fault occurrence rate is reduced.

This invention discloses an experimental device for simulating the flow law and dynamic liquid carrying capacity of a high-yield water-gas well, comprising a gas supply component, a gas-liquid mixing device, a wellbore simulation unit, a data acquisition and visualization unit, a pressure controller, a liquid supply unit, and a gas-liquid processing unit. The data acquisition and visualization unit includes a wire mesh sensor, a flow / pressure measurement device group, a high-speed camera, and a data terminal. The visualized tubing is mounted on a sliding rail-type variable angle multiphase pipe flow simulation device. The data terminal is connected to the wire mesh sensor, the flow / pressure measurement device group, and the high-speed camera. This invention can simulate wellbore flow under laboratory conditions with different visualized tubing angles, different pipe diameters, different gas-liquid flow rates, and different outlet pressure constraints, and has the function of synchronous acquisition and continuous recording of pressure, flow rate, liquid holdup, and high-speed images.

The invention discloses an intelligent medical supply management and control method, and belongs to the field of intelligent medical treatment, and the method comprises the following steps: S1, storing medical supplies, building a unique binding relation between a two-dimensional code of each medical supply and an article name, a warehouse positioning serial number, a bar code positioning lamp number and a validity period, and writing the unique binding relation into a management and control database; s2, an operator initiates a search request, calls a target medical supply warehouse positioning sequence number and a bar code positioning lamp number from the management and control database, and displays the numbers; s3, generating a lamp control instruction according to the warehouse positioning serial number and the lamp number, and enabling the target bar code positioning lamp to emit light in a preset color and flicker rhythm; s4, an operator completes positioning according to the light, and the taking-out number is input and confirmed at the mobile terminal; s5, updating the inventory based on the access data and continuously recording; s6, calculating the number of remaining use days to generate validity period state data; and S7, jointly analyzing the inventory and validity period data to generate a prompt, and updating light and background display. The method has the beneficial effects that the searching efficiency and the inventory and validity period management precision are improved.

The invention provides a shipborne marine gravimeter quasi-static test evaluation method and device, belongs to the technical field of marine geophysical measurement, adopts a dual correction mechanism to reconstruct the structural composition of a data processing function module, and specifically adopts a technical means of synchronously collecting GNSS elevation change data to realize accurate measurement. The GNSS positioning system is rigidly connected with the gravimeter to continuously record elevation change data of the ship; calculating a gravity correction value caused by elevation change; the earth tide correction value and the elevation change correction value are deducted from gravity observation data at the same time, the accurate residual observation quantity is obtained, the technical inertia that in the prior art, only earth tide correction is considered, but the elevation change influence is ignored is broken, the GNSS system is ingeniously used for recording the ship elevation change condition, and a dual correction mechanism is adopted; the problem that the evaluation result is inaccurate due to the fact that the ship fluctuates along with the tide level in a wharf mooring test is solved, and then the technical effect of accurately evaluating the performance of the gravimeter in the quasi-static environment is achieved.

Data loss prevention may be applied to data that includes a plurality of records, with each record including a plurality of fields and with each field corresponding to a different one of a plurality of categories. Applying of data loss prevention may include selecting a subset of records, computing, for each category, a likelihood the category contains the sensitive information, selecting a subset of categories based on the computed likelihoods, searching the sensitive information in the selected subset of categories, and in response to detection of sensitive information in at least one of the subset of records, taking one or more data loss prevention related actions. The selected subset of records includes fewer records than the plurality of records, may include a number of non-consecutive records, and the subset of records may be selected such that the records are well distributed within the plurality of records of the data.

The present application relates to the technical field of electromyography, in particular to a multi-modal electromyography monitoring driven fall risk prediction method and system for the elderly. The method comprises the following steps: collecting electromyography sequence, comparing voltage changes to generate activity trajectory, calculating peak distribution based on the activity trajectory to generate discharge rhythm trajectory, extracting adjacent rhythm changes to generate change distribution record, comparing change position and time relationship to judge time continuity to generate change section record, and establishing association between change section record and gait cycle to generate risk prediction result. In the present application, dynamic trajectory is generated based on continuous sequence to extract microscopic rhythm characteristics, position adjacency relationship is verified during walking process to determine evolution continuity, continuous record is strictly compared with gait cycle to judge corresponding association, details of lower limb movement dynamic reflection are fully restored, defects of traditional truncation means covering lag phenomenon are effectively overcome, abnormal potential activity rules are accurately captured in complex scenes, and comprehensive reliability of risk prediction is effectively improved.

Method for determining a measurement start time (ts) for an imaging measurement using a medical imaging system (1) as a function of a time course of concentration values ​​(KD1, ..., KD21) of a contrast agent (CM) in a monitoring area (UB) of an examination object (P) with the following steps: - Recording the concentration values ​​(KD1, ..., KD21) of a current concentration of the contrast agent (CM) in the monitoring area (UB) at various successive recording times (t1, ..., t9), - Determining a current examination-specific enhancement model curve (CM) of a contrast agent enhancement and depletion based on a time course of the concentration values ​​(KD1, ..., KD21) and based on a population-averaged enhancement model curve and / or population-averaged contrast agent impulse response function, - Determination of the measurement start time (ts) based on the examination-specific enhancement model curve (CM).

Embodiments of the present specification disclose a data processing method and device based on a double water mode and electronic equipment. The method comprises continuously collecting and uploading data to a write disk storage by controlling a master node, and simultaneously controlling a slave node to continuously collect data and perform internal loop coverage storage, when the working state of the master node is characterized as a fault, sending a master-slave switching instruction to the slave node, and according to the fault timestamp, the first data and the second data are respectively cut off and screened out, and finally, according to the first screened data and the second screened data, the target storage data before the master-slave switching is obtained. By setting the slave node to continuously collect data during the master-slave node switching period, even if there is a master-slave node switching interruption time, the requirement of high reliable continuous recording and storage of data can be met, and the user's experience is improved. Further, using FPGA for data collection also improves the collection accuracy and collection bandwidth of data collection and storage.

The present invention provides electronic devices and programs that allow users to record and view video data without having to perform tasks such as transferring video data, thereby minimizing the hassle of transferring video data. [Solution] The drive recorder 1 performs continuous recording, which records video data continuously, and intermittent recording, which records video data intermittently each time a predetermined event occurs, using the same recording area. The drive recorder 1 has a recording control means that, according to the capacity of the recordable area used for continuous recording in the recording area, erases at least a portion of the video data that has been intermittently recorded in the recording area to secure the capacity of the recordable area.

The application discloses an office building design method and system based on big data collection, relates to the technical field of building informatization and intelligent design, and comprises the following steps: S100, a test pulse is emitted point by point in a building corridor area, positioning signals and reflected echo data are collected, a reflected response sequence corresponding to a point is formed, and a reflected suspicious fragment list is constructed according to a response amplitude and a time delay difference; S200, static marker points are arranged in the area corresponding to the reflected suspicious fragment list, a picture sequence without personnel movement is continuously recorded, and a stable and unchanged static anchor point list is extracted and used as a baseline for subsequent personnel positioning track authenticity comparison. The application realizes whole-process suppression of pseudo displacement signals, accurately strips non-real personnel tracks, avoids space design and energy consumption decision deviation caused by misjudgment, improves the scientificity and efficiency of building design, and is suitable for positioning data cleaning and optimization in various complex indoor environments.

The invention discloses a multi-dimensional state sensing and intelligent operation and maintenance decision-making method and system for a power distribution network, and relates to the technical field of intelligent monitoring and operation and maintenance of a power system. The voltage waveform, the current jump and the power reflexed change at the moment of disconnection and reconnection of the high-power equipment are continuously recorded through high-frequency sampling, so that energy mutation fingerprints are formed. According to the method, by constructing a transient energy tracing band and an energy mutation fingerprint, millisecond-level sensing and accurate recognition of the sudden return process of the high-power equipment are achieved, an energy convergence judgment band and an antagonism threshold window are established, energy propagation is actively suppressed at the sudden return moment, and current impact is slowly released; the energy distribution of the power distribution network is controlled, the node voltage is stable, and the operation safety and the response reliability are improved.

This invention discloses a multispectral remote sensing disaster monitoring and early warning system utilizing deep learning. The system includes: a spectral data acquisition and preprocessing module, used to continuously record image data from different time periods based on surface reflectance information to obtain a raw dataset, and preprocess the raw dataset to obtain a clear image dataset; a pattern recognition module, used to classify patterns in the clear image dataset to obtain potential disaster-related feature combinations; a disaster risk assessment module, used to perform time-series analysis on potential disaster-related feature combinations to obtain probability assessment values ​​associated with disaster risk; a disaster risk early warning module, which constructs a quantitative index system for disaster risk association based on the probability assessment values, and determines early warning reference standards based on the constructed quantitative index system for disaster risk association; and a closed-loop monitoring module, which continuously monitors the real-time acquired multispectral data based on the early warning reference standards to generate early warning information output including risk levels.

The invention discloses a dynamic target shooting system based on laser track synchronous recognition, which is characterized in that a precise shooting moment detection module is arranged at a laser shooting gun end, and the moment t0 of pulling a trigger is synchronized to a laser receiving target in real time through a double micro-control unit and a wireless communication link; a receiving end can completely and continuously capture the red dot motion trail of the laser receiving tube array, meanwhile, the trail accurately corresponds to the shooting moment, then the shooting center coordinate is calculated through the time sequence response of the high-density array, and therefore continuous recording and high-precision positioning of the high-speed moving trail of the laser point are achieved. The problems that in an existing system, shooting time capture is not accurate, track recording is not coherent, and positioning algorithm precision is insufficient are effectively solved, and a reliable data basis is provided for follow-up training feedback.

This invention relates to the field of driver assistance systems and discloses an adaptive agricultural machinery operation path point set recording method and system. This system intelligently identifies continuous recording conditions and automatically performs interpolation processing between breakpoints to generate smooth, natural transition paths, ensuring the continuity of operation quality. The method includes generating an original path point set based on a dual-threshold triggering mechanism, acquiring the current planar coordinates of the agricultural machinery in real time, calculating the lateral offset and travel distance, and adding the coordinates to the point set when trigger conditions are met. Then, for the recorded original path point set, the approximate turning radius is calculated through traversal, sharp points are identified and processed, a smooth discrete point set is generated, and the final operation path is generated through dense resampling. This invention clarifies the lateral offset calculation method, dual-threshold triggering conditions, and iterative smoothing processing method, effectively improving the adaptability and accuracy of agricultural machinery operation path recording.

The invention relates to the technical field of bird sample recognition, and provides a bird sample recognition method and system based on migration regularization and dynamic Focal loss, and the technical scheme comprises the steps: S1, collecting field continuous recording, screening an audio clip containing a twitter event, and converting the audio clip into a standardized real Mel spectrogram; s2, training and generating an improved generative adversarial network based on the real Mel spectrogram, and outputting a synthetic Mel spectrogram of the rare birds based on the improved generative adversarial network; s3, mixing the synthetic Mel spectrogram with a real Mel spectrogram to form an enhanced training set for training a deep convolutional neural network classification model; and S4, processing a to-be-recognized field audio in the S1, and inputting the processed field audio into the deep convolutional neural network classification model trained in the S3 to obtain a bird species recognition result. According to the invention, high-precision and high-robustness automatic monitoring of rare birds in a complex field environment is finally realized.

A system for seizure monitoring controls a camera to operate under a monitoring mode to continuously record data from a subject. The system establishes one or more baselines associated with the subject while operating the camera under the monitoring mode. The system detects one or more deviations from the one or more baselines during a first time window. The one or more deviations being associated with an onset of seizure. The system adjusts one or more settings of the camera while operating the camera under the monitoring mode. When the one or more deviations from the one or more baselines persist during a second time window, the system adjusts the camera to operate under a seizure mode.

The application discloses a kind of swing integral gyro accelerometer outer ring position identification method, this method includes: obtaining the expression of apparent acceleration;The expression of apparent acceleration is handled to obtain the matrix expression of apparent acceleration;Obtain multiple outer ring precession angular velocity, according to multiple outer ring precession angular velocity to obtain continuous record data;Obtain multiple outer ring precession angle, according to multiple outer ring precession angle to obtain continuous record data;According to continuous record data and continuous record data, parameter C 11 、C 21 、C 31 In the matrix expression of apparent acceleration, according to the apparent acceleration that swing integral gyro accelerometer sensitive axis senses, parameter C 11 、C 21 Obtain outer ring starting angular position;According to outer ring starting angular position and outer ring precession angle, swing integral gyro accelerometer real-time outer ring absolute angular position is obtained.The application solves the problem that swing integral gyro accelerometer outer ring position is unknown and cannot be controlled, with the characteristics of fast, reliable, practical.