547 results about "Data recording" patented technology

The invention relates to the technical field of network communication, and discloses a vehicle-mounted edge computing data recording system and method based on protocol adaptive analysis, and the system comprises a multi-protocol network access controller which is used for capturing an original data frame and extracting a physical feature triple; the identification analysis engine is used for executing hash operation on the triple to generate a physical feature code and retrieving a physical logic address mapping table; the direct memory access controller is used for responding to a target memory address pointer hit by retrieval and directly writing a data load into an input buffer area of the functional operation module, and by constructing a direct addressing mechanism based on Hash mapping, thorough decoupling of vehicle-mounted heterogeneous network physical topology and edge computing logic is achieved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-modal content compliance auditing method, device, equipment and medium, and the method comprises the steps: receiving a multi-modal content set, and generating to-be-audited content; converting the multi-source content into unified semantic representation through an analysis unit; calling the judgment model based on the auditing strategy library and the configured auditing engine to perform semantic comparison, and generating an auditing processing result; outputting an abnormal level result according to the processing result; a rectification suggestion is generated and pushed based on the abnormal level result, and feedback data is received at the same time; recording feedback data and auditing tracking records, and generating a compliance data view and an auditing conclusion; and updating the auditing strategy library and the configured auditing engine according to the feedback data. According to the method, cross-modal check is realized through unified semantic representation, the check flexibility is improved in combination with a strategy library and a configuration engine, rectification and feedback are driven by using an abnormal level result, and the accuracy and efficiency of compliance check are improved.

The invention relates to the technical field of data recording, in particular to a data recording system for an automatic driving vehicle, and the system comprises a multi-source signal synchronization module, a behavior stage recognition module, a track abnormity elimination module, a dynamic compression adjustment module and a segmented index marking module. According to the method, a unified time alignment mechanism is constructed in a signal synchronization processing link, a strict corresponding relation between acquisition sequences is ensured, key time sequence characteristics of driving behavior switching are extracted by adopting a multi-behavior parameter comprehensive judgment method, segmented expression of a complex driving process is realized, and the accuracy of driving behavior switching is improved. According to track anomaly identification, through collaborative screening of inertial data and a positioning track, abnormal fragments which do not conform to physical rules are effectively eliminated, data compression dynamically sets interval length according to a parameter combined fluctuation trend, the fidelity of a key period is remarkably improved, non-key data redundancy is inhibited, and after a segmented index structure is established, the data compression efficiency is improved. And the data retrieval process is clearer.

The invention provides a containerized resource elastic scheduling method and system in a cloud computing environment, and relates to the technical field of containerized resource elastic scheduling, and the method comprises the steps: obtaining various resource contention events, and generating data which records a resource contention relationship between tenants in detail; identifying a preset high-frequency conflict mode by deeply analyzing the data, and determining a specific tenant group with a strong resource mutual exclusion effect; dynamically estimating a probability level of resource conflict between the new container and the specific tenant group in combination with historical contention information and a real-time resource load state; generating a set of dynamic isolation scheduling strategies according to the conflict risk indicated by the probability level; an independent conflict buffer resource pool is configured and adjusted for a specified key tenant, a tenant resource conflict mode can be identified, dynamic isolation scheduling and buffer resource configuration can be implemented, and the resource utilization efficiency and the system stability of a multi-tenant container in a cloud computing environment are improved.

The invention discloses a geological data description data structured analysis method based on a multi-modal large model. The method comprises the following steps: acquiring multi-modal elements including texts, tables, curves and sheet symbols; dynamically generating a limit mapping matrix of a Sheaf neural network according to the geological description ontology and the multi-modal elements; splicing and consistency evolution from a local cross section to a global cross section are executed, and description field candidates are obtained; performing consistency verification on the description field candidates, and identifying fields with contradictions; calculating a corresponding minimum evidence cut set to form minimum conflict interpretation; inputting the minimum conflict interpretation as an additional loss function into a training process, and updating parameters; and outputting the optimized geological data description field result. According to the method, the consistency, interpretability and traceability of geological data multi-modal description analysis are improved through the dynamic constraint field and the minimum conflict interpretation mechanism.

The invention discloses a micro-positive pressure hydrogen environment in-situ stress-strain testing device and method. The device comprises a sealed reaction cavity which can be placed in a scanning electron microscope sample cabin; the loading device is arranged in the cavity and is used for fixing and applying a load; the atmosphere control system is communicated with the cavity and is used for introducing gas and maintaining a micro-positive pressure state; an electron transmission window arranged on the cavity, wherein an electronic transparent film packaged by the electron transmission window can maintain air tightness under micro-positive pressure and allows electron beams to penetrate through; and the heating module is arranged in the cavity. The method comprises the following steps: loading and sealing a sample, establishing a micro-positive pressure atmosphere, heating the sample, starting loading, and synchronously carrying out SEM real-time imaging and data recording. The problem that a traditional SEM in-situ device cannot work in a real micro-positive pressure hydrogen and high-temperature environment is solved, and synchronous visual in-situ observation of material microstructure evolution and macromechanical response under the gas-heat-force multi-physics field coupling condition is achieved.

The invention relates to the technical field of osmotic pressure testing, and particularly discloses an optimization system for osmotic pressure testing of an ipratropium bromide solution, which comprises a data acquisition module, a data processing module and a data processing module, the data recording module records the operation state data of the conductivity acquisition instrument in the use process, and the operation state of the conductivity acquisition instrument directly affects the accuracy of the conductivity data of the standard solution, so that the operation state of the conductivity acquisition instrument can be analyzed based on the data; the conductivity data can be corrected, so that the data is closer to a true value, the reliability of a quality analysis result of a standard solution is improved, the accuracy of a precision detection result of an osmotic pressure detection instrument and an osmotic pressure detection result of an ipratropium bromide solution is further improved, and the optimization of an osmotic pressure detection method is realized.

The invention discloses a positioning end PPP-RTK real-time precision product monitoring method and device, and belongs to the technical field of satellite navigation and positioning. The method comprises the steps that a PPP-RTK positioning result and a post precision coordinate reference value are acquired in real time, ENU direction positioning deviation is calculated, three types of parameters including satellite geometric configuration, product precision and data timeliness are fused to generate a credibility index C, and an alarm threshold value is dynamically adjusted according to the credibility index C; establishing a positioning precision database to support rapid query and analysis; making a multi-level alarm rule for positioning continuity and precision overrun, and presetting a diagnosis item mapping relation; and after the alarm is triggered, data recording, root cause diagnosis and information output are automatically executed, so that full-process automation from abnormal sensing to root cause definite diagnosis is realized. According to the invention, the reliability, the stability and the operation and maintenance efficiency of the PPP-RTK positioning service are remarkably improved through an evaluation-prediction-diagnosis three-layer intelligent closed-loop system.

The invention provides a data recording method for a vehicle, which is executed by a second electronic control unit of the vehicle, and comprises the following steps: during operation of the vehicle, receiving to-be-recorded data related to an intelligent driving function from a first electronic control unit through the second electronic control unit of the vehicle in real time, the to-be-recorded data is non-duplicated data of data specified to be recorded in data recording requirements of the second electronic control unit, and the second electronic control unit has redundant power supply capability; and storing the received to-be-recorded data to the nonvolatile memory through the second electronic control unit in response to meeting a preset triggering condition. The invention further provides a data recording device for the vehicle and a computer program product. The intelligent driving data and the non-repetitive data of the EDR are transmitted to the second electronic control unit with redundant power supply in real time, so that bus overload can be avoided under the condition that an existing whole vehicle power supply framework is not changed, and the power-off storage requirement is met.

The invention relates to the technical field of geological exploration, and discloses an exploration method and device for intelligent fusion of multi-geophysical field data. The method comprises the steps of signal source excitation, data acquisition and synchronization, data recording and transmission, preprocessing, feature value extraction, AI model fusion processing, joint inversion, imaging and interpretation and the like. According to the invention, multi-physics field data is synchronously acquired, and a multi-source heterogeneous data intelligent preprocessing and feature extraction method and a multi-physics field data fusion and joint inversion method based on artificial intelligence are provided for data such as earthquake, electromagnetism and gravity in a unified signal analysis framework. Through the steps, the problems of data isomerism, space-time inconsistency, inversion multiplicity and the like in geophysical exploration are solved.

The utility model discloses a brushless motor load detection device, and specifically relates to the motor load detection device technology field, the brushless motor load detection device comprises a control panel, a load assembly, a torque sensor and a limiting mechanism, the side surface of the control panel is provided with the load assembly, and one side of the load assembly far away from the control panel is provided with the torque sensor; a torque sensor is arranged on the load assembly, a limiting mechanism is placed on the side, away from the load assembly, of the torque sensor and comprises a clamping assembly, a moving assembly and a sliding assembly, the moving assembly is installed above the sliding assembly, the clamping assembly is installed above the moving assembly, and all the assemblies can be controlled and monitored in a centralized mode through a control panel; the automatic detection process and data recording are realized, and the working efficiency and the accuracy of measured data are improved.

The invention discloses a shipborne unattended radar alignment calibration system, which relates to the technical field of shipborne alignment calibration and is characterized in that an alignment calibration task list containing conditions such as time / position / waveform parameters is configured and issued through an upper computer terminal, and a shipborne data recording and control unit is used as a center; based on navigation data and a unified time reference provided by a satellite navigation time service and positioning module, the three-dimensional compass outputs attitude data of a ship, task triggering conditions are automatically judged, antenna pointing is adjusted through attitude compensation calculation, or area scanning is executed, so that a task is completed. A radar signal source is controlled to generate a programmable radar analog signal in an active calibration mode and transmit the programmable radar analog signal through an antenna, a target true value track is generated in a passive calibration mode, and meanwhile full-process data with timestamps are recorded in a concentrated mode. According to the invention, the problems of manual dependence and inaccurate time-space control of traditional shipborne calibration in research and development of radar receivers and electronic investigation equipment are solved, and unattended operation and accurate shipborne calibration are truly realized.

The invention discloses a fault symptom rapid identification method, a fault symptom rapid identification device, a fault symptom rapid identification device and a computer readable storage medium for a converter transformer valve side external construction frequency resonance test, and the method comprises the steps: firstly, carrying out the real-time synchronous collection of multi-dimensional parameters, such as voltage, current, local discharge amount and waveform distortion; on the basis, a multi-parameter comprehensive criterion system is established, and fault type priorities are configured, so that accurate classification and identification of different types of fault symptoms are realized; a preset linkage disposal operation sequence is automatically triggered according to an identification result, and an automatic closed loop from monitoring and early warning to active protection is formed; and finally, through whole-process data recording and report generation, the traceable management of the fault information is perfected. According to the whole scheme, multi-source information fusion and intelligent decision control are combined, and systematic technical support is provided for early warning and quick response of faults in the test process.

The invention provides a real-time data driving-based mortar microstructure regulation and control method, which comprises the following steps of: acquiring flow state data of a mortar material in real time in a construction process through a sensor network, recording internal stress distribution and a particle movement track of the material, and generating an initial flow state data set; if the structure distribution data set does not reach the target threshold value, dynamically adjusting the external intervention intensity through a feedback control module, recalculating vibration or electromagnetic guide parameters in combination with real-time monitoring data, and generating an improved intervention strategy; and for the improved intervention strategy or the material reaching the target threshold value, continuously monitoring the mechanical property index after molding, recording related data of crack resistance and flexibility improvement, and generating a comprehensive performance evaluation result.

The invention provides an infrared physiotherapy cabin system and method based on animal and environment cooperative regulation and control, and relates to the field of animal physiotherapy and intelligent monitoring control. Comprising an animal state and cabin environment monitoring module, an infrared physiotherapy and cabin environment regulation and control module, an animal health assessment and curative effect assessment module, a personalized treatment and intelligent decision module and a man-machine interaction and safety supervision module. A credibility result is formed through multi-modal data synchronous alignment and data quality evaluation, health state characterization is constructed under credibility gating, a risk level is output, and infrared physiotherapy control parameters and cabin environment regulation and control parameters are generated through cooperative control under the constraint of a stage control boundary and a treatment target and are issued and executed. Continuously adjustable parameters are subjected to online fine adjustment in the physiotherapy process, and rollback and interlocking protection is executed when the risk is increased or the credibility is reduced; after the period is finished, the curative effect is evaluated, data recording and tracing archiving are completed, and collaborative closed-loop infrared physiotherapy regulation and control of the animal state and the in-cabin environment are achieved.

A playback system is provided for altering the frame rate of streaming digital movie data for synchronizing with audio data recording to create a synchronized audiovisual work. The system can have a video that is synchronized with the variations in the tempo of the audio data through a variable timing reference track designed and provided for a user, wherein the designing of the variable timing reference track includes creating a tempo map having variable tempos, rhythms, and beats using notes from the audio data.

The invention relates to the technical field of electromagnetic compatibility automatic testing, in particular to a power line audio conduction sensitivity automatic testing and switching system which comprises a multi-mode testing module, a data recording module, a testing analysis module, a testing control module and a result dividing module. Three test modes of high sensitivity, conventional sensitivity and low sensitivity are set, and a programmed switch group is utilized to automatically switch the connection relation between a capacitor and a coupling transformer, so that automatic configuration of different interference intensity test environments is realized. And the system automatically determines a subsequent test direction by analyzing conduction fluctuation characteristics of the transmission subsystem, and intelligently grades the anti-interference capability of the equipment based on a final test result. The problems that manual wiring is complex, efficiency is low and errors are prone to occurring in traditional testing are solved, automation and intellectualization of the testing process are achieved, testing efficiency and accuracy are remarkably improved, and meanwhile a reliable basis is provided for applicability evaluation of equipment in different electromagnetic environments.

The invention discloses an MEMS inertial sensor reliability analysis method based on long and short term memory deep learning, and belongs to the technical field of microelectronic reliability evaluation, and the method comprises the steps: collecting an original output signal and environmental parameter data of an MEMS inertial sensor in a target scene, and recording a collection timestamp; then preprocessing is carried out to obtain a time sequence processing data set; performing feature extraction on the time sequence processing data set to form a multi-dimensional feature vector; carrying out correlation analysis on the multi-dimensional feature vectors, and screening out a key feature set; constructing an LSTM model based on the key feature set, and performing training and parameter optimization on the model to enable the model to capture a time sequence dependency relationship of sensor performance degradation; inputting the real-time key feature set subjected to preprocessing and feature extraction into the trained LSTM model, and outputting probability distribution of the current health state of the sensor; and then reliability evaluation is carried out and an early warning signal is output through the system terminal to prompt maintenance personnel to carry out timely intervention.

The invention relates to the technical field of intelligent power distribution networks, and discloses a power distribution network protection setting value adaptive adjustment method based on short circuit parameters, system equipment and a medium, and the method comprises the steps: collecting power distribution network parameters in real time through a distributed sensor network, and constructing a system state vector; calculating the short-circuit capacity of each node based on the preprocessed data, and establishing a dynamic mapping relation; evaluating the sensitivity degree of the setting value to the short-circuit parameter through a sensitivity analysis model, and determining a weight coefficient; calculating the adjustment amount of the setting value by adopting an increment adjustment mode; establishing a time constraint condition of multi-stage protection cooperation, and carrying out coordinated optimization on the setting value; verifying the scheme and issuing the scheme to the protection device; and monitoring response data of the protection device, recording an operation effect, and forming a closed-loop feedback mechanism. According to the method, the correlation model of the short-circuit parameter and the protection setting value is established, so that real-time optimization and automatic adjustment of the setting value are realized, and the protection reliability and sensitivity are improved.

The invention relates to a temperature control induction heating system for surfacing of the inner wall of a nuclear power main pump shell. The system is formed by splicing a top induction heating tool, a bottom induction heating tool and a plurality of side induction heating tools through a stainless steel connecting frame, and an intelligent temperature control system. The intelligent temperature control system is composed of a distributed temperature measurement sensor, a central control unit and a man-machine interaction terminal. The heating method comprises the steps of tool assembly, preheating, dynamic interlayer temperature control in the surfacing process, programmed postweld heat treatment and data recording and dismounting. The device has the advantages that the device is adaptive to the special-shaped curved surface of the pump shell through modular design, the power of each tool is dynamically and independently adjusted, the problems of uneven temperature and low efficiency of a traditional heating mode are solved, and the surfacing quality and the process traceability are remarkably improved.

The invention belongs to the field of electric power system data analysis, and relates to an electric power system electric quantity loss calculation method and device based on a neural network, and the method comprises the following steps: S1, data recording; s2, a step of feature extraction; s3, a causal graph is constructed; s4, a causal inference model is constructed; s5, estimating a causal effect; s6, evaluating the electric quantity income loss; according to the technical scheme of the invention, the method achieves the accurate calculation of the power loss value through employing the block chain technology and constructing the neural network algorithm model for the limitation of an existing power system power loss evaluation system, facilitates the formation of a complete compensation tracing list, and provides a technical guarantee for the quick processing of a case and the timely realization of rights and interests.

The invention discloses a project data record analysis method and system based on CRM customer data analysis, relates to the technical field of data processing, and solves the technical problems that in the prior art, CRM customer data and PM project data are isolated, meanwhile, an existing project success prediction model depends on traditional features, and deep time sequence features of core indexes are not mined. Comprising the following steps: extracting customer historical behavior data from a CRM and extracting project execution data from a PM system, then calculating project-customer association strength data, constructing and training a customer-project dynamic association model, calculating a multi-dimensional project health index based on the project execution data, constructing a machine learning classification model, and classifying the multi-dimensional project health index and the machine learning classification model; and taking the association strength index and the health index as core features, extracting deep time sequence features through a corresponding subnet, combining the time sequence attention layer fusion features, outputting a project success probability, and finally constructing a management instrument panel to display key indexes in real time.

A process for generating and presenting instructional content using a machine-learning system can include the step of monitoring a playback device to log user interactions with a service to a user interaction table (UIT) and to log operational data of the service to a health server. Baseline interaction values are identified for the service. The user interactions and the operational data are compared with the baseline interaction values to determine an interaction with the service is inefficient. Hardware and software of the playback device used to interact with the service are identified. The process includes generating instructional content for using the service in response to determining the interaction with the service is inefficient. The instructional content includes images of an interface of the identified hardware and software of the playback device.

An event data recording section 240 records event data related to an activity executed by a plurality of players. A play time acquisition section 212 acquires play times of the plurality of players for a task from event data indicating start of the task included in the activity and event data indicating end of the task included in the activity, the event data being recorded in the event data recording section 240. A statistical processing section 220 sorts each of the players into any one of a plurality of classes according to a skill value of the player and determines, on a basis of the play times of the plurality of players in each class, a representative value for the play times in each class for the task. The statistical processing section 220 aggregates representative values for each class to determine the representative value for the play times in each class for the activity.

The invention belongs to the technical field of new energy automobile batteries, and discloses a battery shell deformation detection device which comprises a conveyor, a supporting frame is arranged on one side of the conveyor, a mechanical arm is arranged at the top end of the supporting frame, and a D camera is arranged at the end, away from the supporting frame, of the mechanical arm. According to the battery shell deformation detection device provided by the invention, the detection frame is arranged; during detection, the battery case is fixed through the clamping blocks; then the battery shell is overturned through the detection frame, so that the recording dead angle of the 3D camera on the battery shell is fully exposed, the data recording integrity is improved, and the detection precision is improved; after the detection is completed, the battery shell is reset and the limitation is released; meanwhile, the detection frame is reset, so that the detection frame is prevented from interfering with movement of the battery shell on the conveyor; the 3D camera transmits recorded data to an external computer, and the computer analyzes and judges whether the currently detected battery shell is deformed or not; and recording is carried out when deformation exists.

The invention discloses an oxygen uptake control device and method, and belongs to the technical field of medical instruments. According to the invention, through cooperative operation of the high-precision sensor and the computer system, accurate matching of oxygen uptake and billing is ensured; depending on the oxygen concentration real-time monitoring and automatic adjusting mechanism, the treatment effect is improved, and the operation threshold is lowered; when the oxygen concentration is abnormal, voice prompt is automatically triggered, and the misoperation risk is effectively prevented; a two-dimensional code identity binding technology is combined to realize'one-code communication ', and intelligent management of hospitals is assisted; meanwhile, accurate oxygen uptake data recording not only avoids billing dispute, but also provides reliable basis for diagnosis and treatment, and safety, convenience and management efficiency of oxygen uptake treatment are comprehensively improved.

This invention discloses a method and apparatus for program debugging, relating to the field of software testing technology. One specific embodiment of the method includes: in response to receiving a local debugging request from a program, obtaining online recording data corresponding to the program from a pre-recorded data file; and running the program by replaying the online recording data to perform local debugging. This embodiment implements a method for local program debugging, ensuring consistency between the local debugging environment and the online environment through online data recording and replay processing, thereby enabling efficient and low-cost local debugging of program code.

Method and apparatus for performing a traveltime-based seismic full waveform inversion using the frequency-dependent Hann window and the source-independent scheme to generate a final velocity model of subsurface formations are provided. The method includes positioning seismic data recording sensors in the survey region; blasting at points of incidence in the survey region to generate seismic waves; and sensing and recording the seismic waves using the seismic data recording sensor. The recorded seismic waves are seismic data. The method further includes transmitting the seismic data to a computer system including one or more memories and storing the seismic data in one or more memories; storing a source wavelet in the one or more memories; performing, by the computer system, a forward modeling operation using the source wavelet; and generating, by the computer system, the final velocity model using the seismic full waveform inversion with the forward modeling operation.

A device for measuring in-situ drilling rock hardness based on a high-pressure water pressure head comprises a hydraulic power system, a data acquisition system, a test probe and a push rod, the front end of the push rod is connected with the rear end of the test probe; the hydraulic power system comprises a manual hydraulic plunger pump; the manual hydraulic plunger pump is connected with the test probe through a reversing three-way valve; the data acquisition system comprises a data recorder, a displacement sensor and a pressure sensor, the displacement sensor and the pressure sensor are arranged on the manual hydraulic plunger pump, and the displacement sensor and the pressure sensor are connected with the data recorder through a signal receiver. The device is simple in structure, convenient to operate and capable of measuring the rock strength of different drill holes, different depths and different point positions so as to obtain the distribution condition of the roadway rock strength, the measuring result is close to the on-site rock mass, a water medium is used for pressure transmission, the measuring process is simple, convenient, environment-friendly and safe, errors in the processes of sampling, processing and the like are avoided, and the working efficiency is improved. And the measurement cost is reduced.

The invention relates to a ruminant methane emission measuring system and method based on a milking robot, and the ruminant methane emission measuring system comprises a gas collection device which is arranged in a feeding trough area of the milking robot and is used for collecting sample gas in real time during the feeding period of ruminants, and the sample gas comprises animal exhaled gas; the gas analysis unit is connected with the gas collection device and is used for synchronously analyzing the concentration of methane and the concentration of carbon dioxide in the sample gas; and the data recording and processing unit is in communication connection with the gas analysis unit and is used for recording gas concentration data and detection time and calculating the daily methane emission amount based on the concentration data and the physiological parameters of the ruminant. According to the method, the milking window of the milking robot is used for measuring the methane emission amount of the dairy cow at the individual level for the first time, the balance of individual measurement record numbers is guaranteed, and automatic, high-throughput, large-scale and continuous monitoring is achieved.