15results about How to "Realize data collection" patented technology

The invention relates to the technical field of network security, in particular to a WEB application mimicry judgment system and method.The WEB application mimicry judgment method based on runtime data is characterized in that a parameter collection module is used for implanting instrumentation codes in key functions of WEB application programs and collecting runtime parameters of the WEB application programs in real time; the event conversion module is used for converting the acquired runtime parameters of the plurality of heterogeneous execution bodies into structured runtime events; the sequence alignment module is used for carrying out time sequence alignment on runtime events from different heterogeneous executors according to the business operation labels; and the risk judgment module is used for vectorizing the aligned text data of the runtime events, calculating a plurality of judgment factors and performing weighted fusion to generate a final confidence score, and performing feedback control to judge whether to trigger an execution body rotation operation or not according to the confidence score. According to the method, the WEB application runtime parameters are collected, through event conversion, sequence alignment and multi-factor weighted decision, the WEB application abnormal attack recognition accuracy is greatly improved, and the defect of traditional flow decision is effectively overcome.

This invention discloses a device and method for evaluating the proppant-carrying performance of fracturing fluid with continuously adjustable proppant concentration, relating to the field of oil and gas field production enhancement. The device includes a reactor body. The reactor body is equipped with a stirring assembly, a proppant-adding assembly, a heating assembly, and a visualization window. The proppant-adding assembly achieves quantitative and batch-wise addition of proppant within the high-pressure reactor through a series of upper valves, a proppant-to-be-added section, and a lower valve. The method includes: applying experimental temperature and pressure conditions, initiating stirring to simulate dynamic flow, continuously adding proppant in batches through the proppant-adding assembly, monitoring the proppant status in real time using a vision system, and recording and analyzing data to obtain a continuous proppant-carrying performance curve and a limit proppant-carrying value. This invention solves the problem of existing technologies being unable to conduct continuous gradient testing of proppant concentration under high-temperature and high-pressure dynamic conditions, and can obtain complete proppant-carrying performance data of fracturing fluid from low concentration to limit concentration in one go, with evaluation results closer to actual downhole operating conditions.

The invention discloses an oil film bidirectional reflection characteristic on-site measurement device and an oil film thickness inversion correction method, and belongs to the technical field of image processing, and the oil film bidirectional reflection characteristic on-site measurement device comprises an experiment pool which contains an oil-water mixed sample; the annular guide rail is arranged around the experimental water tank; the camera support is arranged on the annular guide rail in a sliding mode, and a fixing base capable of rotating around a horizontal shaft and a vertical shaft is arranged at the upper end of the camera support; the hyperspectral camera is fixed on the fixed seat and is used for measuring the radiance of the experimental pool; and the irradiance meter is used for measuring the irradiance of the sunlight. The oil film bidirectional reflection characteristic on-site measurement device is simpler in structure and easy to implement, and the spectrum difference caused by different visual angles of the sensor is eliminated. And the accuracy and reliability of oil type identification and thickness inversion are greatly improved.

The present disclosure provides a traffic event data collection method, system, electronic device and storage medium to solve the problem that vulnerable road users are difficult to trigger or obtain traffic event record information, the method comprising: continuously monitoring the user state; in response to the user state reaching a preset traffic event triggering condition, recording and storing the user state information within a preset time range before and after the occurrence of the traffic event; further determining whether the user state reaches a preset locking condition; if yes, locking the traffic event and the corresponding generated traffic event data and reporting to the traffic event management platform; and notifying the jurisdictional roadside event record device and the vehicles within a certain range to record the current traffic state information synchronously. The present disclosure can trigger the data collection work of the traffic event from the perspective of vulnerable road users.

The application provides a face image acquisition system, a correction method and an acquisition method based on spherical linear polarization technology, and belongs to the technical field of face three-dimensional reconstruction. The system comprises a spherical architecture, fixed light sources, a camera group and a control device. Each fixed light source is composed of a plurality of light source groups, each light source group comprising at least two light sources provided with polarizing plates. The camera group comprises a plurality of cameras provided with polarizing plates, and the plurality of cameras correspond one-to-one to the plurality of light source groups in the fixed light sources. When acquiring images, any camera in the camera group time-divisionally lights up the light sources with two polarization directions in the light source group corresponding to the camera, the polarization states of the light sources lighted up each time are completely consistent, and face images under two polarization states are acquired. By increasing the number of light bead groups on each light source, the plurality of cameras can simultaneously acquire face light field data, and the data acquisition of the whole face range of the face can be realized without moving the subject to different positions.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

The invention discloses a medicine inspection sample preparation method and device, and belongs to the technical field of medicine inspection. According to the method, through the key steps of gradient alkalifying pH linkage control, gradient elution, temperature programming drying quality monitoring, pre-enrichment and the like, accurate treatment of a test solution is realized; the core lies in that a capillary microfluidic analysis chip with a multi-layer composite structure is adopted, the channel size matching and connection design is optimized, and the sample treatment efficiency and purity are improved. The corresponding device integrates an intelligent control system, a pH monitoring module, a laser particle size monitoring module and the like, and full-process automatic control is achieved. The defects that in the prior art, operation is tedious, the automation degree is low, sample loss is large, and a micro-fluidic chip is large in dead volume are overcome, the prepared sample is high in purity and accurate in concentration, the method is suitable for various types of samples to be tested, the accuracy and efficiency of drug inspection can be remarkably improved, and the method has important industrial application value.

The application discloses a deep fracture visual photoacoustic magnetic cooperative in-situ measurement device, which comprises a measurement robot placed in a borehole, a cable lowering device placed near a borehole mouth and an upper computer placed outside the borehole. The measurement robot can realize in-situ measurement of fracture networks at different positions in the borehole and has the function of autonomous travel. The cable lowering device mainly realizes depth position sensing of the measurement robot through a depth editor and realizes data communication between the measurement robot and the upper computer. The application further discloses a deep fracture visual photoacoustic magnetic cooperative in-situ measurement method. The application can realize feature area sensing search, autonomous cruise and rapid acquisition of multi-source data, and in combination with a subsequent data processing method, high-precision in-situ measurement and visualization of deep fracture networks can be realized.

The invention relates to the technical field of safety evaluation, in particular to a recreation facility driving safety intelligent evaluation system based on artificial intelligence. Comprising a data acquisition module, an intelligent evaluation platform and a visual terminal, the intelligent evaluation platform is used for performing feature extraction and modeling on the collected operation parameters, and calling an artificial intelligence algorithm to generate a safety level evaluation result corresponding to the driving state; the artificial intelligence algorithm comprises a state recognition model based on deep learning and a risk prediction model based on probability inference, the state recognition model is used for judging the operation mode of the driving mechanism, and the risk prediction model is used for predicting the occurrence probability of potential faults. The method comprises the following steps: constructing a data acquisition module to acquire operation characteristic parameters of a driving device; introducing an artificial intelligence model, and performing feature extraction and anomaly detection on the data; based on the historical operation data and the model, generating a security level and predicting a potential risk; and an evaluation result is transmitted to a visual terminal, so that a manager can make a decision immediately.

The invention relates to an intelligent pressure bra and a control method thereof. Comprising a bra main body, a pressure sensing module, a posture sensing module, a pressure adjusting module and a central control module, the pressure sensing module, the posture sensing module and the pressure adjusting module are fixedly connected to the bra main body; the pressure sensing module is used for collecting original chest pressure signals of a patient; the posture sensing module is used for collecting an original posture signal of a patient; the pressure adjusting module and the pressure sensing module are correspondingly arranged; the central control module is connected with the pressure sensing module, the posture sensing module and the pressure adjusting module and used for processing data, communicating with remote terminal equipment and controlling the pressure adjusting module. Compared with the prior art, the method has the advantages that real-time closed-loop adjustment is realized; the compression strategy is dynamically optimized in combination with the posture of the patient, and the safety and accuracy of postoperative rehabilitation are improved.

The invention discloses an intelligent memory auxiliary system based on end-cloud collaboration and data sovereignty and electronic equipment thereof, and relates to the technical field of intelligent auxiliary equipment and artificial intelligence, and the intelligent memory auxiliary system based on end-cloud collaboration and data sovereignty comprises an equipment end collection desensitization module which is used for non-inductively collecting environment audio; the communication transmission module is used for performing event-driven data uploading by adopting a low-power-consumption narrowband Internet of Things technology; the cloud cognitive memory module is used for receiving and decrypting the voiceprint feature vector and constructing a dynamic scene memory map of an associated user through voiceprint recognition and matching; an active care decision module and a user interaction and sovereignty module; due to the dual-power topological hardware architecture of the equipment end acquisition desensitization module and the low power consumption design of the communication transmission module, the endurance time is prolonged; on the premise of protecting user privacy and data sovereignty, the personal dynamic memory map can be constructed through ultra-low power consumption non-inductive recording, and decision support is actively provided.

The invention relates to an inertial platform equipment health state trend prediction method and prediction system, and belongs to the technical field of inertial platform data analysis. Collecting test parameters of the inertial platform, and performing feature extraction and preprocessing to obtain standardized feature values; based on the standardized characteristic value, calculating through a performance evaluation model to obtain a quantitative index value representing the health state of the equipment; inputting into an ARMA time sequence prediction model, and generating a prediction curve of the equipment performance indexes; calculating a real-time health index of the equipment by adopting a fuzzy logic decision tree algorithm and combining confidence interval analysis and trend derivative analysis; health levels are divided, and meanwhile the remaining service life of the equipment is predicted; issuing the quantitative index value, the prediction curve, the health index and the remaining service life data through an API (Application Program Interface); according to the method, the problems of difficulty in fault feature extraction, insufficient degradation modeling precision and accurate health state prediction under the condition of sample scarcity in a complex environment are solved.

The invention relates to a data acquisition board supporting multi-protocol interface dynamic switching and a configuration method thereof. The acquisition board comprises a microprocessor module, an acquisition interface module and a software system, wherein the acquisition interface module consists of a GPIO (General Purpose Input / Output) port of the microprocessor module and a peripheral circuit. A plurality of GPIO (General Purpose Input / Output) ports of the acquisition interface module can be configured into a target port group, electrical characteristics (such as level conversion and pull-up resistance) are adjusted through a peripheral circuit, and protocols such as UART (Universal Asynchronous Receiver / Transmitter), IIC (Inter-Integrated Circuit) and SPI (Serial Peripheral Interface) are A software system analyzes a configuration command, a GPIO port is dynamically recombined into a new target port group (formed by continuous / discontinuous GPIO ports), and flexible switching of the number of protocol signal lines (for example, a two-line IIC is converted into a four-line SPI) is supported. And during switching, a logic of firstly configuring a new interface and then breaking an old interface is adopted, so that the service continuity is ensured. According to the method, hardware does not need to be replaced, multi-protocol adaptation is achieved through local / remote configuration, the method is suitable for miniature intelligent weather stations, environment monitoring and other scenes, operation and maintenance cost is reduced, and data collection continuity is improved.

The application belongs to the technical field of treating microorganisms or particles with electromagnetic sound energy, and particularly relates to a microfluidic chip, a preparation method, an analysis device and an analysis method. The microfluidic chip comprises a main channel, two or more sample inlets which are in communication with the main channel, a focusing electrode and a deflection electrode which are arranged at the bottom of the main channel, the focusing electrode is used for gathering particles, and the deflection electrode is used for directional movement of the particles. The microfluidic chip of the application is provided with multiple sample inlets, so that multiple fluids can enter the main channel at the same time. By adjusting the flow rates of the fluids in different sample inlets, the fluid in the main channel can controllably enter a sample outlet or a waste outlet, directional movement of the particles is realized, in the movement process, a specific detection point is selected, specific detection is completed, on-line cleaning based on dielectricity is realized, compatibility of multiple complex samples in the upstream is realized, and the downstream is conveniently connected to more in-depth analysis.

The invention relates to a thermal management integrated module control system. The system comprises a controller; the power pump control unit is electrically connected with the power pump in the thermal management integrated module and the controller and is used for controlling the rotating speed of the power pump according to the pulse width modulation signal output by the controller; and the valve body control unit is in communication connection with the three-way valve and the nine-way valve in the thermal management integrated module and is used for respectively controlling and feeding back the opening proportion of the three-way valve and the gear switching of the nine-way valve through a vehicle-mounted communication protocol according to a received sequential logic instruction. A pulse width control instruction and a sequential logic instruction are generated in a unified mode through an upper computer, centralized control and data collection of a power pump, a valve, a temperature sensor and a pressure sensor are achieved, cooperative work of all sub-components can be achieved, complex control logics such as sequential cooperation of the power pump and the valve and pressure feedback speed regulation are supported, and the system is suitable for large-scale popularization and application. And the automatic test requirement can be met, and the test efficiency and reliability are remarkably improved.