21results about How to "Reliable judgment" patented technology

The invention relates to the technical field of positioning, in particular to a commercial vehicle key positioning method and device, a medium and equipment. In simulation software, a commercial vehicle model comprising four vehicle key communication antennas is established. And for the commercial vehicle model, performing magnetic field distribution simulation, and determining a magnetic induction intensity cloud picture. According to the magnetic induction intensity cloud picture and the preset positions of the vehicle keys, the receiving signal intensity indication ranges of the positions of the vehicle keys are determined. And acquiring the real magnetic field intensity of each vehicle key communication antenna sensed by the vehicle key, and determining the received signal intensity indication corresponding to the real magnetic field intensity. And inputting the received signal strength indication into the calibration model to obtain an output received signal strength indication. And according to the received signal strength indication output by the calibration model, determining the position of the vehicle key based on the received signal strength indication range corresponding to the simulated magnetic field intensity of each vehicle key position. Reliable judgment of positioning the position of the car key in different regions is realized through the spatial distribution difference of the multi-antenna magnetic field.

This invention relates to an intelligent concrete vibratory compaction device with multi-source sensing and adaptive feedback capabilities. It includes a compaction execution module, an intelligent decision-making and control module, a multi-source sensing module, an intelligent reminder and early warning module, an energy and power management module, and a data storage and communication module. The multi-source sensing module is integrated into key parts of the vibratory compactor to collect multi-source physical signals in real time. The intelligent decision-making and control module has a built-in signal fusion processing algorithm and equipment status recognition model, which performs real-time fusion analysis on the collected signals and identifies the working status, generating adaptive control commands based on the recognition results. The energy and power management module dynamically adjusts the output power according to the commands. The data storage and communication module encrypts and stores operation data and supports exchange with a remote management platform. This invention, through multi-source sensing and intelligent decision-making, achieves real-time monitoring, status judgment, automatic prompts, and data recording of compaction operations, improving the reliability, traceability, and management efficiency of construction quality.

The application provides a PTC self-limiting temperature knee pad and a multi-source sensing combined control method, which comprises the following steps: collecting real-time pressure values of each pressure sensor in a pressure sensor array and a real-time inclination angle value of an inclination sensor; calculating a pressure difference value and judging whether the resistance measurement value is in a low resistance state defined by a positive temperature coefficient effect; limiting the heating temperature below the resistance mutation temperature by using the positive temperature coefficient effect; continuously monitoring the change of the real-time inclination angle value; when the real-time inclination angle value changes continuously below a preset activity angle threshold value for a time and exceeds a preset static time threshold value, outputting a stiffening prevention reminding instruction by a controller, and issuing a vibration reminder based on the stiffening prevention reminding instruction. The application realizes reliable judgment of heating start through a double-condition combined verification mechanism of a pressure difference value threshold and a low resistance state of PTC material.

This invention relates to an automatic detection system and method for elevator landing door locking devices. The system includes a moving base mounted on the car top, a door lock drive mechanism driven by the base, an image acquisition device, a signal acquisition device, and a control device. The door lock drive mechanism has two roller push plates that can move independently or collaboratively, enabling adaptive driving of single-action or double-action roller door locks. The image acquisition device acquires door lock images to identify door lock features and the lock hook. The signal acquisition device acquires the door lock safety circuit break signal. The control device automatically controls the drive mechanism based on the identification results and triggers visual measurement upon receiving the break signal to calculate the lock hook engagement depth and determine whether it meets safety requirements. This invention achieves automatic, accurate, and efficient detection of door locks with various structures, replacing traditional manual methods and significantly improving the objectivity, accuracy, and applicability of the detection.

This application provides a method for multipath false target detection and identification using vehicle-mounted millimeter-wave radar. The method includes acquiring a single-frame echo signal from the target vehicle-mounted millimeter-wave radar; filtering the single-frame echo signal to generate a single-frame point set; performing multipath pattern judgment on the single-frame point set to generate a multipath judgment result; associating the single-frame over-detected points in the single-frame point set with flight paths based on the multipath judgment result and preset rules to generate a target flight path; calculating multipath confidence information on the target flight path to generate a comprehensive multipath confidence evaluation value; and performing multipath false target detection and identification processing based on the comprehensive multipath confidence evaluation value and a preset confidence threshold. In this way, accurate multipath judgment can be performed under complex road conditions.

The application discloses a bridge structure damage rapid diagnosis method and system based on modal frequency identification, and particularly relates to the technical field of bridge structure health monitoring and damage identification, and is used for solving the diagnosis ambiguity and misjudgment risk caused by the signal aliasing of environmental fluctuation, material natural aging and damage of the existing method; the method is realized by collecting bridge vibration response signals and extracting at least two different order measured modal frequencies, decoupling and separating the environmental influence component based on the pre-established collaborative evolution mode, then performing long-term trend analysis on the frequency stripped of the environmental influence to separate the structure performance natural time-varying trend component and the potential damage trend component, analyzing the change characteristic difference between different order potential damage trend components, and finally realizing the identification and evaluation of the existence, possible area and development stage of the bridge structure damage.

The invention relates to the technical field of photovoltaic communication, in particular to a photovoltaic interface adapter with a fault direct connection protection function and a use method, and the photovoltaic interface adapter comprises a main control module, a communication path selection module, a physical direct connection module and a watchdog module. The main control module is used for receiving communication data of the 4G communication module and the photovoltaic inverter and sending a dog feeding signal to the watchdog module, and the communication path selection module is used for receiving a level control signal sent by the watchdog module and switching a communication path of the photovoltaic interface adapter according to the level control signal. The physical direct connection module is used for responding to the communication path selection module so as to carry out communication of the photovoltaic interface adapter, and the watchdog module is used for receiving a dog feeding signal sent by the main control module and sending a control signal to the communication path selection module. The photovoltaic interface adapter has the advantages that the communication reliability of the photovoltaic interface adapter can be improved, so that the basic communication effect between the 4G communication module and the photovoltaic inverter is guaranteed.

This invention provides a passenger safety monitoring early warning method and device, electronic equipment, computer-readable medium, and program product, belonging to the technical field of safety monitoring. The early warning method includes: determining a target vehicle from multiple vehicles corresponding to multiple vehicle-mounted terminals based on prior route information, mobile terminal status information, and broadcast signals from vehicle-mounted fixed terminals. The prior route information includes route geometry and station information pre-stored in the mobile terminal; generating passenger pose information based on inertial measurement data and satellite observation data from the mobile terminal, as well as route and station constraint information corresponding to the target vehicle; determining the passenger's safety status based on the trigger signal and pose information from the vehicle-mounted fixed terminal corresponding to the target vehicle; and sending a prompt command to the vehicle-mounted fixed terminal corresponding to the target vehicle based on the passenger's safety status, causing the vehicle-mounted fixed terminal to output corresponding early warning information. This application improves the reliability and accuracy of passenger safety monitoring.

This application relates to a method and system for testing the fatigue life of a spring. The method includes: simultaneously acquiring instantaneous force and displacement signals of the spring under test, and identifying each loading cycle based on the instantaneous force and displacement signals; extracting characteristic parameters reflecting the mechanical response characteristics of the spring based on the instantaneous force and displacement signals corresponding to each loading cycle; tracking the changing trend of the characteristic parameters with the number of loading cycles, and calculating the rate of change of the characteristic parameters based on the changing trend; and determining the fatigue failure point of the spring based on the changing trend and the rate of change. This invention can significantly improve the reliability of fatigue life test results and provide accurate data support for spring design optimization.

The invention provides an intelligent parking management method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a parking request of a user located outside a parking lot for a target parking lot, and obtaining the multi-mode sensing data of each parking space in the target parking lot; performing time-space synchronization calibration preprocessing on the multi-modal sensing data to unify the sensing data from different sensors to the same time reference and the visual data, geomagnetic sensing data and radar point cloud data belonging to the same parking space based on preprocessing under a coordinate system with the parking lot entrance as the original point; fusing and inferring the occupancy state of each parking space to obtain an occupancy state set of the target parking lot; and based on the occupancy state set and the parking request of the user, carrying out parking space distribution. According to the invention, a multi-modal fusion mechanism is introduced, so that the misjudgment rate caused by single sensor fault or environmental interference is obviously reduced, the judgment accuracy of the parking space state is high, and the parking space utilization efficiency of the parking lot is greatly improved.

The present application relates to the technical field of intelligent power distribution equipment and power distribution automation, and particularly relates to an automatic topology identification method of a modular power distribution box; the process comprises: collecting connection behaviors of module interface insertion, mechanical locking and main circuit conduction state to form a connection behavior sequence; generating a structure-derived connection behavior sequence based on the power supply path of the module in the box and the correlation module relationship; checking the time sequence correspondence relationship and state closure relationship between the interface level and the structure-derived level sequence through cross-level consistency rules to form a topology relationship determination result; performing local topology update according to the determination result to update the topology structure mapping of the modular power distribution box; the present application overcomes the recognition dead zone and electromagnetic coupling interference caused by low impedance and high collinear branch, can accurately determine the real physical connection relationship between the modules, supports plug-and-play of the modules and dynamic adjustment of the local topology, and improves the system topology identification precision and operation and maintenance management efficiency.

The application relates to the technical field of unmanned aerial vehicle testing, and discloses an unmanned aerial vehicle wind resistance grading test method; the method is used for solving the problem that the traditional method cannot accurately simulate the combined action of natural turbulence and multidirectional wind, thereby leading to a large deviation of grading results and failing to reflect the real stability of the unmanned aerial vehicle; the method firstly establishes a test session, defines a model state, a load state, a control state, a test boundary and grading conditions, and sets different grades; before starting each test stage, the actual action wind field in which the tested unmanned aerial vehicle is located is determined; in each stage, position keeping, attitude change, disturbance recovery and out-of-boundary state are continuously judged, and the wind resistance grading is determined in combination with direction coverage, fluctuation coverage, boundary rechecking and abnormality processing. The method is favorable for improving the accuracy and reviewability of wind resistance grading under a complex wind field.

The invention relates to the technical field of electric digital data processing, in particular to an animal fat powdering quality detection system based on artificial intelligence. The system comprises a processor and a memory, wherein the processor executes a computer program stored in the memory to realize the following steps: acquiring a target surface image and an initial quality index corresponding to the powdered oil to be judged; according to the gradient values of all pixel points in the target surface image and the areas of all connected domains corresponding to the target surface image, gradient judgment indexes and connected domain judgment indexes corresponding to the to-be-judged powdered oils and fats are obtained; according to the gradient judgment index and the connected domain judgment index, obtaining a particle characteristic value corresponding to each piece of to-be-judged powdered oil; obtaining target quality indexes corresponding to the to-be-judged powdered oils and fats according to the particle characteristic values and the initial quality indexes; and judging whether the target powdered oil production process is qualified or not according to the target quality index. According to the method, the target powdered oil production process can be accurately evaluated.

The invention discloses a method for quantitatively detecting cucumber green mottle mosaic virus (CGMMV) infectious viruses in watermelon seeds based on propionium bromide azide (PMA) pretreatment and reverse transcription quantitative polymerase chain reaction (RT-qPCR). The method comprises the following steps: S1, preparing a seed suspension containing virus particles; s2, grouping the suspensions, adding PMA with the final concentration of 150-170 [mu] M into a PMA treatment group, incubating for 20-40 min in a dark place, then carrying out blue light (460-490 nm) irradiation to enable PMA to selectively inhibit non-infectious virus nucleic acid amplification, and not adding PMA into a control group or carrying out inactivation treatment on the control group; s3, extracting nucleic acid, and carrying out RT-qPCR (real-time quantitative polymerase chain reaction) on the nucleic acid by adopting a specific primer pair CG-2439F / CG-2625R to obtain a Cq value or a nucleic acid amount; and S4, comparing the results of the PMA treatment group and the control group to determine the infectious CGMMV content or the live virus proportion. The method can reduce inactive virus interference, is suitable for seed quarantine, virus risk assessment and disinfection effect evaluation, and can provide a matched detection kit.

The invention discloses an insulator aging intelligent detection method and system based on the hyperspectrum of an unmanned aerial vehicle. The method comprises the following steps: completing synchronous calibration of radiation, spectrum, camera internal reference and time; flying according to a preset route, synchronously collecting data, and unifying timestamp marking; performing radiation correction on the hyperspectral data, and performing distortion correction on the visible light image; establishing a one-to-one correspondence relationship of the data through timestamp matching; based on the visible light image feature points, an insulator string sparse three-dimensional point cloud is constructed, and coarse registration of hyperspectral data and the three-dimensional point cloud is achieved; iteratively optimizing by taking the insulator feature point as a reference, correcting topographic deviation according to a digital elevation model, and ensuring that a registration error meets a threshold pixel; segmenting and extracting a single insulator, establishing a local coordinate system, performing geometric correction according to an actual space attitude, and eliminating inclination deflection distortion; and extracting the spectral characteristics and three-dimensional coordinates of the corrected insulator, judging the aging grade, and outputting a detection report containing accurate positioning.

The application discloses a discharge detection device and method for a general high-low voltage switch cabinet for mines, and belongs to the technical field of switch cabinet detection. The device comprises a modularized sensor assembly, a signal acquisition unit, an edge computing node unit and an upper monitoring platform, and adopts a UHF sensor, an ultrasonic sensor and a transient ground voltage sensor for cooperative detection. The method comprises multi-source signal synchronous acquisition, adaptive denoising based on a sparrow search algorithm optimization, double-domain feature extraction, discharge type identification based on an attention-enhanced convolutional neural network, and multi-sensor information fusion and hierarchical early warning based on evidence theory. The application compensates for the blind area of a single detection method through cooperative work of multiple types of sensors, improves the denoising effect through adaptive parameter optimization, enhances the recognition accuracy through double-domain features and an attention mechanism, and improves the diagnosis reliability through multi-sensor fusion, so that accurate detection and intelligent diagnosis of local discharge of a mine switch cabinet are realized.

The invention relates to the technical field of unmanned aircraft testing, and discloses a grading testing method for the wind resistance of an unmanned aircraft. The method is used for solving the problems that in a traditional method, due to the fact that the combined action of natural turbulence and multi-direction wind cannot be accurately simulated, the classification result deviation is large, and the real stability of the unmanned aerial vehicle cannot be reflected. The method comprises the following steps: firstly, establishing a test session, defining a model state, a load state, a control state, a test boundary and a grading condition, and setting different grades; before each test stage is started, an actual action wind field where the tested unmanned aircraft is located is determined; and continuously judging position keeping, attitude change, disturbance recovery and border crossing states in each stage, and determining a wind resistance capability grade by combining direction coverage, fluctuation coverage, boundary reinspection and exception handling. And the accuracy and the recheckability of wind resistance grading in a complex wind field can be improved.

The invention discloses a device and method for monitoring the blocking state of an urban gutter inlet. The device comprises a data processing unit, a waterproof microphone, a humidity sensor, a liquid level sensor, an LED state indicator lamp, a protective shell and a data transmission interface, and the data processing unit is connected with the humidity sensor, the waterproof microphone and the liquid level sensor. The method comprises the steps of training a blockage judgment model of sound features, installing and setting a monitoring device, judging and processing blockage, early warning accumulated water, resetting dormancy and the like. According to the invention, the defects of low labor efficiency, high misjudgment of a single sensor and large interference of light environment on vision in the existing gutter inlet blockage monitoring are overcome.

The application discloses a kind of complex fine-grained sedimentary rock reservoir evaluation method, which comprises the following steps: step 1: the reservoir to be studied as target reservoir;Step 2: target reservoir is stratified according to lithology category and thickness;Step 3: gas-bearing property in target reservoir is analyzed, and favorable stratigraphic system is preliminarily selected according to gas-bearing property characteristics;Step 4: favorable stratigraphic system, carry out stratigraphic system development scale characterization, stratigraphic system reservoir property characterization, organic matter abundance characterization and gas-bearing property characterization analysis, according to reservoir evaluation parameter and the weight corresponding to each parameter and determine the gas-bearing property evaluation index REI value of the stratigraphic system type;Step 5: according to the type of target reservoir, establish the evaluation system of complex fine-grained sedimentary rock reservoir.The application considers the heterogeneity of fine-grained sedimentary rock reservoir internal structure, and proposes a reasonable reservoir property evaluation parameter calculation method.

The embodiment of the application provides a false fall filtering method and system based on multi-modal space-time feature fusion, which comprises the following steps: acquiring video stream data containing a target person in continuous time; performing bone key point recognition and posture index calculation on the video stream data through a pre-determined posture key point recognition model to determine a primary fall suspected event; acquiring multi-modal data of a preset time period based on the time corresponding to the primary fall suspected event; performing multi-modal analysis and multi-modal fusion based on the multi-modal data to determine a secondary fall suspected event; performing static posture determination and sensitive speech segment recognition on the video stream data based on the secondary fall suspected event to determine a final determination result; and triggering an alarm mechanism in the case that the final determination result represents that the target person actually falls down. The above scheme can improve the accuracy of the fall recognition result.

The invention provides a universal serial bus power supply device and a method for detecting abnormal hard reset. The device comprises a bit detector, a packet start period counter, a reset detector and a flag generator. The bit detector receives and detects an input data signal, and outputs a preamble acknowledgement signal having a first level in response to a preamble bit group in the input data signal. The packet start period counter starts counting when the preamble acknowledgement signal has the second level, and outputs a packet start enable signal having the first level. The reset detector receives and determines whether an input data signal has a code related to hard reset to output an abnormal hard reset signal and a K-code acknowledgement signal. The flag generator receives a packet start enable signal, an abnormal hard reset signal, a K-code acknowledgement signal, and a reset enable signal to output an abnormal hard reset flag to the event recorder.