136 results about "Time marker" patented technology

The invention belongs to the technical field of decision optimization, and relates to an enterprise-level intelligent risk control decision system combined with a real-time data stream, and the system comprises a heterogeneous data distribution module which is used for obtaining multi-source heterogeneous data streams inside and outside an enterprise; the behavior time sequence splicing module is used for executing cross-system user ID association and time sequence recombination on the real-time data flow to generate a user behavior chain with continuous time stamps; the feature fusing calculation module is used for receiving the user behavior chain, performing feature extraction and outputting a real-time feature vector with a quality flag bit; the incremental model updating module is used for respectively generating a baseline risk score and a dynamic risk score; and the dynamic weight decision module is used for generating final decision parameters. And the risk control processing execution module responds to the final decision parameter to trigger a processing action, and configures a manual auditing arbitration channel and a feedback data generation unit. According to the method, the problems that a dual-check algorithm is not deeply coupled with a business index, and abnormal data which passes hash check but has logic violation flows into a real-time channel are solved.

The invention relates to a teaching quality dynamic evaluation system based on big data, and the system comprises a data collection module which is used for obtaining an original teaching time series data flow containing student scores, classroom performance and homework quality in real time; the time sequence processing module is used for adding a time stamp to the original teaching time sequence data stream and verifying the time stamp to generate a teaching time mark data set, performing time sequence analysis on the data set to obtain a teaching fluctuation feature set, and performing multi-dimensional decomposition on the feature set to extract a teaching quality feature set; and the real-time monitoring module is used for constructing a teaching monitoring model based on the teaching target parameters, calculating a multi-dimensional deviation between the current teaching quality feature set and the historical teaching quality feature set by using the model, and generating a multi-dimensional teaching early warning signal when the deviation exceeds a preset multi-dimensional joint early warning threshold. According to the invention, real-time dynamic monitoring and risk early warning of teaching quality are realized, and evaluation efficiency and accuracy are improved.

The embodiment of the invention provides a touch sensing system and method, electronic equipment, a storage medium and a program product. The touch sensing system comprises a contact assembly, a projection assembly, a collection assembly and a processing assembly, and is configured to be capable of being in contact with an external object and generating deformation; the projection assembly is configured to project an active light field with a time modulation characteristic to a first surface of the contact assembly, the active light field is projected on the first surface to form a plurality of pattern areas, the light intensity of adjacent pattern areas changes based on different time sequence codes, and the first surface is opposite to a second surface, making contact with an external object, of the contact assembly; the acquisition assembly comprises a plurality of acquisition units arranged in an array, and is configured to acquire a plurality of pattern areas and output a time stamp acquisition data sequence.

The invention discloses a multi-modal data atlas enhanced intelligent reasoning decision optimization method and system, and relates to the technical field of data intelligent analysis, and the method comprises the following steps: S100, building a cross-time stamp trace collection flow, extracting an event sequence based on a time node in a continuous reasoning process, generating a complete time anchor point set, and carrying out the collection of the time anchor point set; outputting a dislocation trace band based on the time anchor point set; and S200, analyzing the time drift distribution of the dislocation trace band, determining the boundary range of the ghosting window by identifying the phase change of the continuous fragment, and generating a phase overturning scale sequence on the boundary range for time scale control in the subsequent reasoning evidence isolation operation. By constructing a time anchor point and phase scale mechanism, accurate isolation of causal paths and rearrangement of reasoning structures are realized, false causal interference is effectively shielded, the stability and credibility of the reasoning process are improved, and the accuracy and interpretability of a multi-modal intelligent decision-making system are enhanced.

The invention discloses an integrated management and traceability method for a non-perpetual industry chain, and relates to the technical field of information management and data traceability, and the method comprises the steps: S100, building a uniform time mark baseline of a whole link, carrying out the nanosecond alignment of all write-in channels, extracting and solidifying the time sequence features of each piece of business data, and forming a time sequence fingerprint as a structured reference basis; and S200, constructing a ghosting detection chain based on the structured reference basis, collecting delay distribution and a phase difference track in a high-concurrency writing process, and identifying a potential region of a retention copy and positioning an abnormal point in combination with a delay distribution entropy. According to the method, the nanosecond time fingerprint, the ghost detection chain, the anti-fact playback mechanism and the causal residual spectrum are constructed to realize accurate identification and dynamic control of the whole writing process of the non-perpetual data, and an error frequency signal and a time reversal rearrangement mechanism are introduced to effectively prevent repeated curing and ensure the uniqueness and credibility of the data.

The invention relates to an emergency evacuation path generation method, system and device under multi-target conflict and a medium. The method comprises the following steps: acquiring video monitoring data and environment sensing data of a target building, and performing fire disaster detection according to the video monitoring data to obtain a fire detection result; in response to the fire detection result that the fire disaster exists, performing fire evolution prediction according to the environment sensing data based on the environment topological graph of the target building to obtain fire evolution parameters; performing risk assessment and latest passable time marking on each space unit node in the environment topological graph according to the fire evolution parameters to obtain a risk graph layer; and in response to the obtained positions of the to-be-evacuated persons, generating an exclusive emergency evacuation path of each to-be-evacuated person in combination with the environment topological graph and the risk map layer. According to the method, fire detection and fire spreading deduction are carried out through continuous video image frames, time sequence judgment is carried out on traffic effectiveness, and path design is prevented from lagging behind risk change.

The invention relates to the technical field of airport noise prediction. The airport noise map isoline calculation method and system based on multi-source data fusion are provided, and the method comprises the following steps: carrying out space-time alignment fusion processing on multi-source heterogeneous data to generate a space-time synchronous standardized data set; processing through a track-noise coupling calculation unit to generate a single event noise value containing a meteorological correction factor; performing dynamic gridding accumulation calculation processing on the single event noise value to generate a noise evaluation quantity grid matrix with a time stamp; processing is carried out through a curvature-driven adaptive contour line generation unit, and a fidelity-optimized noise contour map is generated; and selecting a real-time lightweight channel or a distributed batch processing channel for processing based on the calculation mode decision-making unit, and outputting a noise contour map with optimized fidelity, so as to achieve the technical effects of improving noise positioning precision, reducing modeling errors in a dynamic flight environment and improving the fidelity of geographic features of contour lines.

The invention discloses an old building reconstruction design method and system based on BIM and real-time monitoring, and relates to the field of old building reconstruction design, and the technical scheme is that the method comprises the steps: constructing a three-dimensional observation environment, carrying out the multi-stage three-dimensional collection of a to-be-reconstructed building, and obtaining observation data with unified coordinates and time stamps; performing stage comparative analysis on the observation data, and performing space matching and data integration under BIM constraint to form three-dimensional time sequence information oriented to each building component; based on the three-dimensional time sequence information, establishing a historical memory model under component identifiers of the BIM model, and extracting a time sequence evolution rule of deviation and defects of each component; and according to a time sequence evolution rule, establishing a transformation evaluation model, comprehensively analyzing the safety, durability and use functions of each component of the building, and generating a transformation design scheme. The method has the beneficial effects that through multi-period three-dimensional acquisition and BIM fusion analysis, the whole-process datamation and intelligent management of old buildings from state monitoring to reconstruction design is realized.

The invention discloses an intelligent low-carbon service model and method based on block chain fusion, particularly relates to the technical field of low-carbon management, and is used for solving the problem that the credible recognition and settlement of carbon behaviors are not clear. According to the method, identity verification, time marking and caliber standardization are carried out on energy consumption and travel multi-source data through a trusted data gateway, a carbon behavior voucher containing a signature and an abstract is generated, minimum disclosure under an index upper chain and an original text chain is adopted, it is ensured that the source and the caliber are verifiable and cannot be tampered, and then merging is carried out through a unified event model; and performing conflict resolution and consistency verification to form a one-event one-key event, attaching a consistency label and a credibility index, performing calculation by a rule base and a scene parameter set, performing intelligent contract accounting, and providing rollback correction by using a unique identifier of the event, enabling the credibility index to participate in integral and right confirmation, performing low-credibility entering and re-verification, and suppressing abnormities. And the fusion accuracy and the auditing efficiency are improved.

The application relates to the field of oral medicine diagnosis and discloses an AI-enhanced real-time occlusion detection system based on intraoral images, which comprises a multi-source intraoral image acquisition module, which is used for acquiring dynamic oral image data through a high-definition oral endoscope, recording the three-dimensional structure of a tooth surface in combination with a laser scanning device, and collecting the force distribution of an occlusion contact point through a pressure sensor array; the multi-source intraoral image acquisition module comprises a time stamp synchronization unit, which performs multi-source synchronization on the oral image frame sequence and the occlusion force distribution data by using a unified time mark; through the multi-source intraoral image acquisition module, the synchronous acquisition of dynamic images, three-dimensional structure data and occlusion force distribution is realized, and the time sequence consistency of the data is ensured through the time stamp mark. Compared with the acquisition mode of a traditional single data source, multi-source acquisition can comprehensively record the dynamic characteristics in the occlusion process, provide rich and accurate input for subsequent AI analysis, and avoid data omission or acquisition deviation.

The invention discloses a three-spot welding dynamic imaging stabilization detection method based on motion compensation modeling, and relates to the technical field of photovoltaic energy monitoring, and the method comprises the following steps: obtaining an acoustic vibration signal, a picture time marking signal and a jig lifting displacement signal of the whole jacking process of a compressor shell, carrying out the time synchronization and feature fusion of the obtained signals, and carrying out the feature fusion of the obtained signals; and generating a resonance distribution band for constructing a dynamic reference model for subsequent time sequence analysis. According to the invention, through multi-source signal synchronous modeling and light machine closed-loop regulation and control, millisecond-level consistency of a jacking action and an imaging process is realized. Exposure and vibration phases are accurately controlled through staggered anchor points, a drift sketch, a baseline ring and an alignment key, pixel drift and brightness fluctuation are remarkably reduced, the detection false alarm rate and the detection omission rate are reduced by 73% and 67% respectively, and high precision and high stability of three-spot welding dynamic detection are achieved.

The invention belongs to the technical field of cross-domain network communication, and discloses a cross-system hierarchical sensing routing decision method, device and equipment and a storage medium. According to the method, a routing optimization scheme oriented to a cross-domain network is provided, hierarchical network performance collection is carried out by embedding a service level identifier and a time stamp in a detection data packet, differential thresholds are set according to different service types, and collected time delay, jitter, packet loss and bandwidth utilization data are comprehensively evaluated. And quantitatively adjusting the path priority attribute in the border gateway protocol according to the evaluation result, and driving the automatic switching of the transmission path. According to the method, the defect that data and services are disjointed in traditional detection is overcome; according to the method, a dynamic threshold value is set in combination with service requirements, multi-index comprehensive judgment is carried out, finally, a performance evaluation result and routing protocol attributes are linked, an automatic closed loop from sensing to decision making is established, and therefore the overall reliability and experience of cross-domain service transmission are improved under the condition that opposite-end cooperation is not needed.

Embodiments of the present disclosure provide a tactile perception system and method, an electronic device, a storage medium, and a program product. The tactile perception system comprises a contact component, a projection component, a collection component, and a processing component, which are configured to be capable of contacting an external object and producing deformation; the projection component is configured to project an active light field with time modulation characteristics to a first surface of the contact component, the active light field forms a plurality of pattern regions on the first surface, the light intensity of adjacent pattern regions varies based on different time sequence encoding, and the first surface faces away from a second surface of the contact component which contacts the external object; the collection component comprises a plurality of collection units arranged in an array, and is configured to collect the plurality of pattern regions and output a time-labeled collection data sequence.

The application discloses a power distribution network distributed measurement synchronization method and device based on Beidou satellite timing, and belongs to the technical field of power distribution network measurement, which comprises the following steps: acquiring Beidou satellite signals to calibrate local clock sources and generate a standard time reference; when continuously monitoring the quality parameter of the Beidou satellite signals is lower than a quality threshold, collecting clock working environment parameters of the local clock sources and combining the standard time reference to generate a short-term clock offset prediction value; generating a topological correction amount according to the topological connection relationship of the power distribution network; and fusing the short-term clock offset prediction value and the topological correction amount to generate a dynamic compensation time reference, time marking the collected electrical quantity measurement data of the power distribution network, and generating time-stamped synchronous measurement data. The technical scheme of fusing the local clock drift prediction value and the adjacent node topological correction amount to generate the dynamic compensation time reference when the Beidou signal is lost can significantly improve the precision and robustness of the measurement data synchronization of the power distribution network in a complex environment.

A method enables creation of group highlights for consumers consuming media content at different locations / times. The method includes initiating consumer experience collage generation on a first electronic device. The method includes receiving, via a network interface from at least one second electronic device that can operate in a consumer experiencing capturing (CEC) mode, one or more images and at least one of a portion of a first media content or an associated time marker identifying a presentation time of the portion within the first media content. The method includes, in response to receiving the associated time marker, accessing a copy of the first media content and retrieving, based on the associated time marker, the portion of the first media content from the copy. The method includes generating a composite product comprising a combination of the at least one image and the portion of the first media content.

A dial for a watch includes a semi-transparent photovoltaic layer having a lower face. The dial also includes an ink-based decorative layer printed on the lower face of the photovoltaic layer. The decorative layer includes a pattern including one or more time markers.

The invention provides an epileptic post-hospital rehabilitation management method and system based on remote electroencephalogram monitoring. The method comprises the following steps: acquiring a remote electroencephalogram monitoring data stream generated by an epileptic in a target scene, synchronously recording an activity type and a time stamp when the epileptic executes a preset rehabilitation activity, analyzing a specific electroencephalogram mode from the remote electroencephalogram monitoring data stream, associating the specific electroencephalogram mode with the activity type and the time stamp, and establishing an induction relationship; target risk activity links meeting preset conditions are screened out from preset rehabilitation activities, activity sequences and intensity are rearranged and graded, individualized dynamic rehabilitation regulations are generated, adjustment instructions are sent to a patient, electroencephalogram data fed back by the patient are received, the evoked relation is updated, and the rehabilitation activity is obtained. The individualized dynamic rehabilitation regulation is optimized, and the optimized individualized dynamic rehabilitation regulation is generated. According to the technical scheme provided by the invention, the accuracy of rehabilitation management and the adaptive ability of the system to the state change of the patient are improved.

A method for computer-implemented tracking of production history of a continuous web is provided, which is-processed in a production system, including a sub-system applied to perform specific operation(s). The web is transported along a curved given path through the production system by winding / unwinding from / onto a coil. The following are performed:obtaining measured data of the web while being transported along the path, the measured data being current time-stamped measured data acquired a sensor or a measuring device installed at the production system along the path, where a spatial position of each sensor and measuring device with respect to the given path determined by a one-time reference calibration;obtaining movement information of the web;determining production-relevant features of the web by processing the time-stamped measured data and the movement information of the web by mapping the time-stamped measured data to physical points of regions of the web.

The embodiment of the invention discloses an interface display method and device for a tourism platform, electronic equipment and a storage medium, and the method comprises the steps: displaying a scenic spot list of the tourism platform, the scenic spot list comprises a plurality of scenic spots, and each scenic spot corresponds to at least one camera position; in response to a selection operation for the scenic spot list, determining a scenic spot corresponding to the selection operation as a target scenic spot; obtaining people flow information, scenic spot introduction information and camera position information of the target scenic spot; and displaying a live broadcast interface corresponding to the target scenic spot according to the visitor flow rate information, the scenic spot introduction information and the camera position information, and displaying a time axis in the live broadcast interface of the target scenic spot, the time axis covering a real-time live broadcast time period and a historical playback time period, and displaying a plurality of time mark points on the time axis. The scheme can improve the query efficiency of the user for the live broadcast data.

The invention relates to an intelligent depth reconstruction architecture and method for a strip-shaped scintillator, and the architecture specifically comprises a position sensitive strip-shaped scintillator which is used for converting incident radiation particles into photon signals, and converting the photon signals into pulse signals through silicon photomultipliers coupled to the two ends of the scintillator; the analog front-end circuit is used for amplifying and shaping the pulse signal, then completing high-speed sampling through a high-speed analog-to-digital conversion circuit module and converting an analog signal into a digital signal; the field programmable gate array data processing module is used for digital imaging preprocessing, amplitude extraction and time marking operation, and meanwhile, key information is added to each event data; an auto-encoder model based on an artificial neural network is deployed in a data processing module of the neural network processing unit, and the neural network processing unit is used for carrying out feature extraction and mode matching analysis on the input signals and outputting reconstruction parameters corresponding to interaction positions in the strip-shaped scintillators. And localized intelligent processing of the nuclear pulse signal is realized.

The invention discloses a nutritional diet full-link intelligent scheduling and tracing management system, and the system comprises the steps: extracting an initial data set from a multi-dimensional data source, and obtaining a food material circulation data sequence; a correlation analysis algorithm is adopted to process the dependency relationship between the time stamp and the forgery record to determine a potential tampering point set; judging the occurrence probability of a tampering behavior by comparing the matching degree of the transportation path and the environmental parameters, and obtaining tampering probability distribution; performing anomaly detection algorithm analysis on the multi-dimensional data of the high-probability region to obtain an abnormal point coordinate group; a graph model is adopted to construct a connected graph of food material flow paths, and a tampering path skeleton is determined; and generating a complete tampering behavior report to obtain a final tracing record. The tamper-proofing capability and the credibility of food material supply chain traceability are remarkably improved, and the accuracy and the reliability of food safety traceability are ensured.

The present disclosure relates to distributed positioning systems and methods and self-locating devices. A self-locating device calculates its position relative to transceivers using time-tagged signals transmitted by the transceivers as part of a distributed positioning system. The transceivers and self-locating devices are arranged to use digital and analog reception and transmission electronics and one or more highly precise clocks, compensation units, positioning units, position calibration units, scheduling units or synchronization units for highly precise time tagging. The transceivers and self-locating devices are further arranged to allow full scalability in the number of self-locating devices and to allow robust self-locating with latency and update rates useful for high performance applications such as autonomous mobile robot control.

The invention relates to the technical field of lobster breeding, and discloses a method for increasing the survival rate of lobster larvae in the floating period. The method comprises the following steps: dividing a larva density monitoring area according to physical structure parameters of a culture pond, and continuously collecting initial water environment parameters to obtain water environment time sequence data; on the basis of the time sequence data, key water quality fluctuation nodes are marked by adopting a dynamic time axis generation technology, and a water quality change map with time marks is obtained; performing multi-dimensional environmental factor mapping processing by combining the spatial distribution information of the larva density monitoring area and the water quality change map to generate a larva living environment pressure matrix; introducing an adaptive learning mechanism, carrying out pattern recognition processing on a dissolved oxygen fluctuation section and an ammonia nitrogen accumulation point in the pressure matrix, and establishing an environmental stress response rule base; and dynamically analyzing the operation instruction of the breeding equipment by using the rule base, and generating a feeding path optimization strategy and an oxygenation intensity adjustment strategy.

The invention relates to the technical field of biomedical engineering, in particular to an invasive mouse electroencephalogram data acquisition and analysis system and method. The system comprises a motion structure assembly used for providing a motion carrier for a mouse and collecting motion parameters; the control assembly is used for adjusting motor output according to the target parameter, generating a synchronous time label instruction, recording the actual motion parameter in real time and storing the actual motion parameter in association with the time label; and the data acquisition and analysis component is used for acquiring original electroencephalogram data, synchronously storing a time label, aligning an electroencephalogram sampling time sequence with a motion control time label sequence, extracting electroencephalogram pulse position information, calculating a neuron discharge frequency and establishing a correlation between the discharge frequency and a motion parameter. According to the technical scheme, accurate and synchronous acquisition, automatic alignment of time stamps and multi-dimensional correlation analysis of mouse motion states and electroencephalogram signals can be realized.

This invention provides an intelligent sensor-driven clock timing accuracy calibration system, relating to the field of data processing technology. It acquires raw temperature sequence data with time stamps and location information by deploying temperature sensing units at different heating locations on the clock timing device; identifies the dominant heating region based on the temperature change rate and duration and generates corresponding weights; analyzes the heat transfer time difference in conjunction with the crystal oscillator installation position to construct a local thermal effect response sequence with time lag; derives the crystal oscillator frequency evolution process based on this response sequence and generates a predicted frequency offset; pre-adjusts the timing pulse before errors occur to form a timing reference signal; and simultaneously corrects the dominant heat source weights and heat transfer delay relationship by comparing with an external standard time source, achieving dynamic calibration of timing accuracy.

The invention relates to a method for managing multi-sensor data in a system (10). The method comprises a step of storing the data (Dij) received from a plurality of sensors (Ci) in at least one buffer (Bi), associating each data point (Dij) with a time marker (Tj) indicating the instant when the data point (Dij) is acquired by the sensor (Ci). This storage step is repeated continuously during the operation of the system (10).The process includes successive periods of execution of a merging algorithm, including a step of determining the most recent time marker of the data (Dij) stored in at least one buffer (Bi), to constitute a set of most recent time markers; a step of defining a time window; a step of processing the data (Dij) prior to the time window, and of defining an internal state of the system (10) for the lower bound of the time window; and a step of processing the data (Dij) included in the time window.

The invention discloses a big data-based roadside holographic sensing platform data synchronization method and system, relates to the technical field of smart traffic, and aims to improve the accuracy of global traffic situation sensing in heterogeneous data synchronization and fusion processes of an existing roadside holographic sensing platform. The method comprises the following steps: acquiring heterogeneous data with time stamps from a plurality of pieces of edge sensing equipment, and respectively collecting the plurality of pieces of heterogeneous data into respective corresponding sliding time windows according to the time stamps carried by each piece of heterogeneous data; according to the data integrity score and the data credibility score, one fusion strategy is selected from multiple preset data fusion strategies, and the multiple data fusion strategies at least comprise a standard fusion strategy and a degradation fusion strategy; and performing fusion processing on the heterogeneous data in the sliding time window according to the selected fusion strategy to generate a global traffic situation view with a data quality identifier.

The invention relates to a method for realizing individualized selection of transcranial magnetic stimulation target spots and stimulation intensity based on electrocardiosignal guidance, and the method comprises the following steps: (1) setting the stimulation intensity range / step number of a patient, the type of a regulation scheme to be applied and the number of target spots to be tested; (2) the scheme designer calculates the stimulation intensity of each stimulation unit according to the set parameters, generates a unit stimulation time sequence and obtains a corresponding stimulation scheme; (3) the controller controls the TMS stimulation equipment to stimulate at a specific moment through a hardware interface according to the unit stimulation time sequence and the stimulation intensity parameter output by the scheme designer, and records the time stamp and the stimulation intensity parameter of a stimulation event through the electrocardio recording equipment; and (4) after the stimulation is completed, the data analyzer carries out calculation by combining the time stamps of the stimulation events, the stimulation intensity parameters and the electrocardio data, and obtains the optimal target spot and the optimal regulation and control intensity of the transcranial magnetic stimulation for the current patient.

The present application relates to the field of radio positioning technology, in particular to a kind of helicopter emergency rescue positioning method and system, comprising the following steps: ground base station through the initial positioning signal sent by helicopter in rescue area, the time stamp of signal is bound with signal data, the signal time mark data is generated by analyzing the relevance of data and time.In the present application, by using time axis reversal and adjusting signal amplitude, the signal quality is optimized, the stability and reliability of signal in interference environment are enhanced, through encoding processing, the signal can reduce loss in transmission process, the transmission effect of signal is optimized, the overall receiving efficiency of signal is improved, the ground base station uses signal propagation time difference and path change data, carries out multiple comparison, calculates helicopter position in real time, significantly improves the accuracy and efficiency of rescue positioning, realizes the goal of quick and accurate positioning in emergency rescue, improves the success rate and safety of rescue.

The invention discloses a magnetic-attraction splicing literature genre time shaft wallboard assembly, and relates to the technical field of teaching or display appliances, and the magnetic-attraction splicing literature genre time shaft wallboard assembly comprises a magnetic-attraction wallboard body; the magnetic attraction time line shaft can be attracted to the magnetic attraction wall plate body, the magnetic attraction time line shaft comprises a main line shaft and an end line shaft, the end line shaft is connected to one end of the main line shaft through a deformable connecting line body, the end line shaft and the main line shaft can be spliced into a whole or separated from each other, and the main line shaft is provided with a clamping jaw assembly which can be used in cooperation with the time sign in a separable mode; the magnetic type storage box is used for storing time signs. The method has the technical advantage of being flexible and convenient to use.