790 results about "Time stamping" patented technology

A method for packaging digital evidence for long term validation comprises forming a package of a digital document (10), an electronic signature (12) for the document (10), together with evidence (16) of the authority of the signature in the document and a time stamp (20) indicating when the document was digitally signed. All of the pieces form parts of the packaged evidence.

The invention provides a data traceability verification method in a trusted data space, and relates to the technical field of zero-knowledge certification, the method comprises the following steps: collecting a plurality of operation records of target data in the trusted data space, and arranging the operation records according to a timestamp sequence to generate an operation sequence; converting into a state transition constraint condition; inputting the operation sequence into a pre-trained key node identification model, and outputting position identifiers of one or more key state transition nodes in the operation sequence; constructing a zero-knowledge proof circuit according to the operation sequence, the state transition constraint condition and the key state transition node, and operating the zero-knowledge proof circuit to generate a composite zero-knowledge proof; and providing the composite zero-knowledge proof as a data traceability voucher of the target data to a verification party to complete traceability verification of the whole processing process of the target data. The technical problems of privacy disclosure risk and low verification efficiency of data traceability verification in the prior art are solved.

The invention provides a circuit breaker action coil current characteristic diagnosis and analysis system and method. Belongs to the technical field of power system automation and substation state monitoring. The method comprises the following steps: carrying out synchronous wave recording on current of a plurality of circuit breaker actuating coils on a direct current feeder screen side to generate multi-channel synchronous wave recording data; meanwhile, SOE message information is collected, a circuit breaker with specific action is automatically matched and positioned by utilizing a timestamp and action identification information in an SOE message, and action circuit breaker positioning data is generated; the current waveform data of the circuit breaker actuating coil are collected in real time, and a high-precision algorithm is used for feature extraction and analysis, so that abnormal fluctuation in current change can be accurately captured, such as overlarge starting current and unstable holding current, the risk of misoperation or rejection of operation of the circuit breaker caused by abnormal current characteristics is reduced, and the service life of the circuit breaker is prolonged. Electric power system accidents caused by equipment faults are avoided, and the operation reliability of the circuit breaker is improved.

The invention relates to the technical field of language information processing, and provides a large language model-based structured information retrieval method, which comprises the following steps of: deploying an adapter, accessing operation and maintenance data, carrying out timestamp synchronization on an original entry and identifying a source, mapping equipment, parts and personnel based on an asset directory and recording mapping confidence, extracting structural elements from the records; injecting three types of metadata into candidate evidences, establishing corresponding nodes and edges in a graph database, analyzing query into a structured retrieval intention, expanding a candidate evidence set along three chains to form candidate sub-graphs, and calculating comprehensive scores for sorting; the candidate evidences should be verified and constrained, meanwhile, LLM is called for inference, feasibility inference confidence is output, actual measurement results, the inference confidence and source confidence are fused according to preset weights, feasibility scores of the candidate evidences are obtained, and for the candidate evidences passing feasibility verification, accurate anchor points are calibrated for each evidence along a source chain; and generating a structured answer.

The invention discloses a rolling bearing lightweight fault diagnosis method and system based on multi-source signal fusion. Vibration, temperature and rotating speed signals are synchronously collected, and timestamps are calibrated; respectively carrying out denoising and normalization preprocessing; dividing and aligning windows; differential feature extraction: extracting time-frequency features of the vibration signals by using a one-dimensional residual CNN, and extracting abnormal measurement of the temperature / rotating speed signals by using an LSTM in combination with an isolated forest algorithm; carrying out self-adaptive weighted fusion on the features through an attention mechanism; the lightweight diagnosis model (through knowledge distillation, pruning and quantification) deduces and outputs the fault category, the health index and the confidence coefficient. The system correspondingly comprises an acquisition module, a preprocessing module, a feature extraction module, a fusion module and a diagnosis module. The method improves the early fault sensitivity, enhances the variable working condition robustness, supports the real-time deployment of edge equipment, and is suitable for the intelligent monitoring of industrial bearings.

The invention discloses an intelligent power grid load prediction and dynamic response coordinated scheduling method, and relates to the technical field of power system automation, and the method comprises the steps: accessing intelligent ammeters, distributed power controllers and other devices of Modbus, IEC61850 and DL / T645 protocols through a multi-protocol adaptive gateway, and achieving data standardization; time stamps are calibrated by means of Beidou time service and an IEEE1588PTP protocol, and it is ensured that multi-source data synchronization errors are controllable; deploying an edge computing node cluster, distributing high-priority tasks to low-load nodes through an edge coordinator in combination with a load fluctuation level and a greedy algorithm, and ensuring real-time processing efficiency; the edge nodes generate short-term load prediction, and the cloud platform outputs medium and long-term prediction based on a historical data training model; and finally, the coordinated scheduling decision module fuses the two types of prediction results and the real-time parameters of the power grid, and generates a dynamic instruction to control the output of the adjustable load and the distributed power supply.

The invention belongs to the technical field of intelligent safety supervision, and particularly relates to a coal mine personnel safety behavior analysis method, which synchronously associates a management instruction, personnel behavior data, an equipment state and environment parameters according to timestamps through a management platform, obtains the current position of a personnel in real time, dynamically judges whether the personnel moves correctly or not, and improves the safety of the personnel. When a person approaches each maintenance position, automatically checking whether the maintenance position has omission or not, if the omission is found, generating a rechecking instruction in real time and pausing subsequent operation authorization, if the omission is not found, carrying out consistency checking on the operation sequence, the operation video content and the standard regulation, and if the checking does not reach the standard, carrying out rechecking on the operation video content and the standard regulation; if yes, second-level early warning is triggered immediately, a recheck mechanism is started, subsequent operation authorization is paused by dynamically monitoring operation compliance and combining authority control, personnel are prevented from entering a subsequent maintenance position with an illegal state, and the problem of multi-position continuous violation which can only be traced afterwards in an existing method is thoroughly solved.

The invention provides a touch screen coordinate data reporting method and device and a storage medium. According to the method, in the sliding operation scene, according to the timestamp of the data transmission signal sent by the target application, multiple pieces of coordinate data collected by the touch screen are screened, and the screened coordinate data are sent to the target application, so that the link that the target application carries out resampling on the multiple pieces of coordinate data is reduced, the performance of the electronic equipment is improved, and the user experience is improved. And the power consumption of the electronic equipment is reduced, so that the user experience is improved.

The invention discloses a real-time noise reduction method and system supporting Bluetooth audio interaction, and the method comprises the steps: collecting an environment audio signal and a Bluetooth interaction audio signal, and carrying out the timestamp alignment and spatial calibration of the environment audio signal and the Bluetooth interaction audio signal; an improved multivariate variational mode decomposition algorithm is adopted to decompose and extract noise features, the noise features are combined with user historical noise data, a dynamic noise model is constructed through a long-short-term memory network, parameters are updated in real time, Bluetooth interaction audio content features and a user behavior data recognition scene are analyzed, and a noise reduction strategy is determined. And according to the dynamic noise model and the scene result, reinforcing learning to optimize filter parameters, generating a directional anti-noise signal to carry out noise reduction on the Bluetooth interaction audio signal, collecting the noise reduction intensity manually adjusted by a user, calculating voice definition and total harmonic distortion, and carrying out noise reduction on the Bluetooth interaction audio signal. And inputting a feedback and evaluation result into the modeling and noise reduction steps, carrying out dynamic range adjustment, sound channel balance and power amplification on the audio after noise reduction, and outputting the audio through a loudspeaker.

The invention discloses a non-screen POS machine data acquisition method and system based on NFC and a WeChat applet. A POS machine simulates an NFC Type 4 label through a non-contact chip, performs SM2 signature and encryption on equipment data containing a timestamp and a random number by using a private key instantaneously reconstructed by a PUF, and performs Base64URL-CRC packaging, segmented NDEF writing and 30s TTL setting; the mobile terminal automatically pulls up the WeChat applet after triple verification of radio frequency field stability detection, URL white list and integrity fingerprint; the small program uploads parameters through an AES-128-GCM secondary encryption and a Reed-Solomon fragment tunnel; the background adopts a Redis idempotent lock, an HSM private key decryption, an SGX enclave one-time token display mechanism and other mechanisms to complete signature verification and decryption, and it is ensured that the device data are only briefly visible in the WeChat security sandbox. According to the invention, the problems of difficult operation and maintenance data acquisition, high cost and poor security of the non-screen POS machine are solved, and cross-platform, anti-replay and man-in-the-middle-resistant high-security data acquisition can be completed within 10 seconds.

The invention discloses a lightweight low-delay quantum key distribution method and system adaptive to an electric power scene, and belongs to the technical field of quantum communication and electric power communication crossing. The method comprises the steps cooperatively executed by a sending end and a receiving end: the sending end determines a basis vector based on a pre-associated quantum fingerprint sequence and a timestamp, sends a key through polarization-phase two-dimensional coding, generates a selection mark and executes privacy amplification; and a receiving end synchronizes a timestamp to determine a basis vector, compares the basis vector with the quantum fingerprint to complete authentication, decodes through an integrated module, performs collaborative error correction and executes privacy amplification. The system comprises functional modules of a sending end and a receiving end, is integrated on a miniaturized board card, and supports common-fiber transmission and protocol conversion. According to the method, the problems of high time delay, high deployment cost and poor adaptability of the traditional QKD are solved, the end-to-end time delay is reduced to 14 microseconds, the deployment cost is reduced by more than 60%, the requirements of high safety, low time delay and lightweight deployment of a power system are met, and the method is suitable for key services such as power dispatching and relay protection.

The invention discloses an early warning method and device for multi-device time sequence data and electronic equipment. The method comprises the steps of determining a time sequence data stream; dividing the time sequence data stream according to the model identifier to obtain a plurality of sub-time sequence data streams, sliding on the sub-time sequence data streams by using the time windows according to a preset step length from the starting timestamps of the sub-time sequence data streams, and determining the time sequence data under the time window which slides each time as a target time sequence data stream; performing timestamp alignment and data filling on time sequence data in the target time sequence data stream to obtain an aligned target time sequence data stream, and predicting a time sequence data predicted value corresponding to the aligned target time sequence data stream in a future time period through a prediction model corresponding to the aligned target time sequence data stream; and determining early warning information corresponding to the target time sequence data stream according to the time sequence data predicted value. The technical problem that the accuracy of an early warning result is affected by data time sequence dislocation caused by inconsistent acquisition time of time sequence data between devices is solved.

The invention relates to the technical field of office automation and business process intelligent supervision driven by big data, and discloses an office operation supervision method and system based on big data. The method comprises the following steps: firstly, extracting original logs containing an initiator, a receiver and timestamps from an approval system, checking one by one, de-duplicating and sorting according to time; counting flow times based on the ordered logs, and constructing an approval flow times matrix and a directed network; calculating the initiating and receiving quantity of each node, and screening actual participating nodes; calculating a flow imbalance index for each node, adaptively setting a threshold value according to a whole network average value and a standard deviation, and identifying abnormal nodes as bottleneck candidates; an adjacent matrix is constructed for the candidate nodes, connected clustering is carried out, and a structural bottleneck group is revealed; re-calculating the imbalance index according to an isochronous window in the whole monitoring period and counting the trend; and finally, combining the static unbalance degree and the dynamic change to generate a comprehensive score, and automatically outputting a structured monitoring report.

The invention discloses an interaction state backtracking and semantic reconstruction system based on a user operation log. The system comprises an operation log recording module which is used for capturing interactive operation of a user in an interface in real time and generating an event log with a timestamp; the state backtracking module is used for recovering the interactive semantic state of any time node according to the log; the semantic reconstruction module is used for allowing a user to derive a new interaction path on the basis of the backtracking state so as to realize branch evolution of a semantic structure; and the user control confirmation module is used for providing a confirmation mechanism in the state recovery and reconstruction process to ensure that final execution is triggered by a user. The technical problems that an existing system lacks historical operation tracking, and semantic rollback and reconstruction are difficult to carry out are solved.

The invention discloses a smooth processing method and system for flight path data of an aircraft, and the method comprises the steps: obtaining an original flight path data set, each flight path point in the original flight path data set comprising a timestamp, a flight number, latitude and longitude coordinates, height, speed and course angle attributes; grouping according to flight numbers and sorting according to timestamps to obtain a plurality of flight track sequences; the method comprises the following steps of: calculating the time interval of adjacent points for each flight track sequence, dividing the flight track sequence into a plurality of continuous track sections according to an interruption threshold, dynamically calculating an interpolation interval according to a timestamp difference value for each pair of adjacent starting point and ending point in each section, and ensuring that the time interval of any adjacent point in the continuous track sections does not exceed the interruption threshold. According to the method and the system, the problems of wrong interpolation, course angle sudden change, low interpolation interval fixing efficiency and unsmooth track caused by data interruption in the prior art are solved, and the continuity, the accuracy and the visual reality sense of the track data are improved.

The embodiment of the invention provides a real-time collection method and system for welding heat input, and the method comprises the steps: sensing the displacement movement of a welding gun or a welding wire through a diffuse reflection photoelectric switch array installed on the surface of a pipeline, and generating a corresponding pulse trigger signal; current data and voltage data of a welding loop are sensed through a Hall sensing system, and corresponding analog electric signals are generated; synchronously acquiring the pulse trigger signal and the analog electric signal through a multi-channel data acquisition device, and converting the analog electric signal into a digital signal with a timestamp; real-time welding speed data are calculated according to the time sequence of the pulse trigger signals and the preset space geometrical relation of the diffuse reflection optoelectronic switches; performing multi-stage filtering processing on the current data and the voltage data; a unified timestamp is determined, and time sequence matching is conducted on the filtered current data, the filtered voltage data and the filtered welding speed data based on the unified timestamp; and calculating to obtain a welding heat input value.

The invention discloses a distributed electric power measurement anomaly detection method and system based on a graph neural network. The method comprises the steps of collecting distributed data; processing the distributed data, and recording a timestamp; converting the nonlinear distributed data into linear data; constructing a graph model by taking each metering device as a node, taking the processed distributed data as a node initial feature and taking a physical connection or communication interaction relationship between the devices as an edge; constructing a graph neural network model; inputting the graph model into a graph neural network model, extracting node space features through a graph convolutional neural network layer, constraining edge weights through a graph attention network layer, and updating node features; and inputting the output of the graph neural network into K-Means clustering, dividing a center node and other nodes, calculating the distance between the center node and the other nodes by using Euclidean distance, setting a threshold value, and if the distance is greater than the threshold value, corresponding metering equipment is abnormal. The method can accurately distinguish the abnormal power fluctuation, shortens the response time, and reduces the omission ratio.

The invention relates to the technical field of numerical control machining, in particular to a numerical control tool wear online monitoring method and system based on multi-sensor fusion, and solves the problems that the monitoring precision is reduced and the false alarm rate is high due to working condition parameter drift. The technical bottlenecks that the discrimination adaptability of a fixed threshold value is insufficient and an offline training model cannot be continuously optimized are overcome. According to the method, the tool wear identification accuracy is effectively improved, the false alarm occurrence frequency is reduced, the residual life prediction reliability is improved, the intelligent monitoring level and the production stability in the numerical control machining process are improved, a reliable technical means is provided for precise management and preventive maintenance of the tool in the whole life cycle, and the method is suitable for popularization and application. Through a dual synchronization mechanism of unifying timestamps of a hardware clock and triggering angles of a main shaft encoder, accurate alignment of multi-sensor data with different sampling frequencies in a time axis and an angle domain is ensured.

The invention discloses a metering inspection platform and method, and the method comprises the following steps: carrying out the extraction of communication parameters and function information of metering equipment, building a unified data model, distributing a unique identifier, and achieving the automatic access of different types of equipment. The platform automatically generates an adaptive inspection flow path according to equipment functions and inspection requirements, can temporarily cache and collect data when a network is abnormal in a flow execution process, and adds a timestamp and verification information to the data. And after the network is recovered, the system compares and verifies the cached data, updates the process state after ensuring the data consistency, records and archives the effective data, and generates a traceable record entry. According to the invention, the access flexibility of the metering equipment is improved, and automatic construction of a process and reliable transmission and storage of data are supported.

The invention discloses an equipment logic interlocking control method supporting edge collaboration and an intelligent gateway, and belongs to the field of industrial control and industrial Internet of Things. Reading a configuration center rule and generating a verification entry list; reading a local key value cache, sending a remote state query request and analyzing a state response message; obtaining an interlocking judgment result based on aging screening, numerical value comparison and Boolean operation of the collection timestamps; and executing physical bus message issuing or failure response output according to an interlocking judgment result. According to the method, a data access mode of combining configuration center rule management and local cache is adopted, so that the state of the dependent object can be uniformly verified, and the interlocking judgment traceability is improved.

The invention discloses a data management method and system for a data credible delivery platform. Access is realized through symmetric encryption of source data, and credible right confirmation is realized by relying on identities of owners and users of alliance chain evidence storage, source data hash and authorization rules; adding a timestamp to the encrypted data stream verified by the certificate to form a traceability mark, and encrypting or desensitizing privacy data; the trusted computing is provided with three modes: a local mode executes an algorithm in an ownership party isolation environment and records a log on a chain, a third-party mode constructs a trusted sandbox based on TEE, executes computing and links log hash after remote certification, and an algorithm privacy mode realizes cooperative computing through a Shamir secret sharing splitting algorithm in combination with MPC, a confusion circuit and zero-knowledge certification; and the result delivery adopts public key encryption, a decryption key is issued after the receipt of the user is verified, and the result hash and the receipt are linked for evidence storage, so that the problems that the existing trusted platform cannot support the execution of various algorithms and is lack of effective supervision are solved.

The invention discloses a medical CT (Computed Tomography) communication method for high-precision synchronization of multi-source data and a CT system. Wherein the rotary control unit and the fixed control unit are connected with each other through a private wireless link, take an FPGA / MCU platform as a core, and realize microsecond-level synchronization by utilizing a unified clock source, a hardware timestamp and round-trip delay correction; during scanning, the fixing unit returns multi-source data such as bed codes, electrocardio and high-voltage parameters in real time, and the rotating unit fits and triggers instantaneous bed information based on cached data and sends the instantaneous bed information to the image reconstruction unit after the instantaneous bed information is strictly aligned with detector data. According to the scheme, traditional high-voltage cables and drag chains are replaced, hidden dangers of insulation aging, mechanical abrasion and data interruption are eliminated, and the fault rate is remarkably reduced; meanwhile, motion artifacts are inhibited, and the image definition and real-time performance are improved. Protocol multiplexing and dynamic bandwidth allocation further reduce delay and bit error rate, and support seamless expansion of subsequent modules.

The invention relates to a photovoltaic power station operation data processing method and system. The method comprises the steps of collecting operation data of each inverter in a photovoltaic power station, and obtaining a timestamp of each operation data; setting an event window, aggregating operation data from the same inverter in the event window, calculating to obtain statistical characteristics of the aggregated data, and constructing a characteristic portrait of each inverter in the current event window based on the statistical characteristics; constructing a behavior pattern library for each type of inverter, and updating the behavior pattern library according to the actual operation data and fault feedback of each type of inverter; comparing the feature portrait extracted in real time with the early wear mode, and if the feature portrait is similar to the early wear mode, sending out an early warning signal; and according to the comparison accuracy of the feature portrait and the early-stage wear mode, the potential severity of the early-stage wear mode and the abnormal duration, grading the early-stage early-warning signal, and outputting a grading early-warning notification according to a grading result.

Apparatuses, systems, and methods for RTT based sidelink positioning, e.g., in 5G NR systems and beyond. A UE may receive, from a sidelink LMF, a PRS / SRS configuration and SCI. The UE may receive, from the SL-LMF, a broadcast comprising at least two time stamps associated with transmissions to the UE from one or more neighboring UEs. Further, the UE may determine differential distances to the one or more neighboring UEs. The broadcast from the SL-LMF may include angle of arrival (AoA) information and / or angle of departure (AoD) information and UE may determine an absolute position based on the differential distances and the AoA / AoD information.

The invention provides an industrial process risk prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining production data in an industrial process and a corresponding timestamp, dividing the production data into a plurality of pieces of time slice data based on the timestamp, constructing a text prototype set based on a pre-trained time sequence word vector space, and carrying out the prediction of the risk of the industrial process. And based on a cross attention mechanism, carrying out mutual mapping on the time slice data and the text prototype set to obtain a reprogramming language under a plurality of time slices, inputting the reprogramming language and preset prompt information into a preset large language model for reasoning to obtain a risk score, and sending the risk score to a server. And determining the risk level of the industrial process according to the risk score and the preset risk threshold. Through the method, the technical problems of high manual dependence degree and high calculation power requirement in risk prediction in related technologies can be solved.

The invention discloses a residual current detection system and method based on wireless synchronization and software confluence, and relates to the technical field of residual current detection. A host central processing device receives current sampling data with timestamps from a slave central processing device through a signal receiver to complete centralized receiving of multiple paths of current signals; after the host central processing device receives synchronous current sampling data with timestamps transmitted by the slave central processing device, aligning and synthesizing multiple paths of time-synchronized current signals through a software confluence algorithm, carrying out vector summation on the multiple paths of current signals based on a vector operation principle, and calculating the vector sum of residual current; and judging whether a grounding fault or an insulation defect exists according to whether the vector sum is zero, if the vector sum deviates from the zero value, judging that residual current abnormity exists, and giving an alarm or recording fault information. The detection system effectively improves the accuracy, reliability and applicability of residual current detection.

The invention discloses a load current fault diagnosis and protection system, and relates to the technical field of power electronic equipment fault diagnosis, a current data acquisition module is used for acquiring a real-time current sampling value and a current sampling timestamp of load equipment, and synchronously acquiring operation condition parameters of the load equipment; and the current anomaly index calculation module is used for calculating a current fluctuation anomaly index and a working condition adaptation anomaly index according to the real-time current sampling value, the current sampling timestamp and the operation working condition parameters, and superposing the current fluctuation anomaly index and the working condition adaptation anomaly index to obtain a comprehensive current anomaly index. According to the method, the current data and the working condition parameters are synchronously collected, the multi-dimensional abnormal indexes (current fluctuation and working condition adaptation) are constructed, the problems of misjudgment and missed judgment of traditional single threshold value diagnosis are solved, the current abnormal degree can be accurately quantified by integrating the current abnormal indexes, and a scientific basis is provided for fault recognition.

A system includes a processing circuit configured to receive data from a sensor of a vehicle. The data includes one or more operational characteristics including at least one of a first operational characteristic indicating that a concrete mixture is being dispensed via a chute of the vehicle or a second operational characteristic indicating that the concrete mixture has stopped being dispensed via the chute. The processing circuit is also configured to receive a first time stamp responsive to receiving the first operational characteristic. The processing circuit is also configured to provide the first time stamp to at least one of a user device or a remote computing system.

The invention discloses a multi-source time consistency verification and traceability method in an electric power wide area system, and belongs to the technical field of electric power system automation. Comprising the following steps: generating a quantifiable time source health degree index, and determining the credibility grade of each time source; a distributed timestamp chain containing timestamps, quality rating and verification information is constructed, and time consistency verification among multiple nodes is achieved; advanced identification and self-adaptive switching of an abnormal time source are realized through fault prediction; complete tracking of a time data propagation path and a processing process is realized through timestamp records of key nodes; various time synchronization scenes and abnormal conditions are simulated in the virtual environment; when a time anomaly is detected, rapidly positioning a source and an influence range of the time anomaly in combination with the time traceability system and the digital twin time synchronization model; and if the key service is influenced by time abnormity, dynamic resource scheduling and priority safeguard measures are executed to ensure the time precision requirement of the key service.

The invention relates to a 5G + TSN-based industrial equipment real-time synchronous communication method and system, and the method comprises the following steps: carrying out the clock calibration of industrial equipment through a time synchronization module, obtaining equipment clock data, adding a timestamp, and forming timestamp equipment data; and performing time slot allocation on the 5G network based on the data to generate a time slot allocation table, and performing traffic scheduling on the TSN network according to the time slot allocation table to obtain scheduling configuration information. And performing priority marking on the information to obtain priority data, and calculating an optimal transmission path of the 5G network according to the priority data. And transmitting and confirming the priority data through the path, and generating transmission confirmation information. And a synchronization control instruction is generated based on the confirmation information, and is directionally issued to each industrial device, so that high-precision time synchronization control of multi-device cooperative operation is realized, and the technical problems that time faults occur on an end-to-end communication path and multi-device cooperative control is seriously influenced due to clock asynchronization between a 5G network and a TSN network are solved.