41results about How to "Improve time resolution" patented technology

This invention discloses an all-weather autonomous road defect detection method and system, relating to the field of computer vision. It includes a hybrid vision sensor for all-weather autonomous road defect detection mounted on an unmanned vehicle (UAV). The hybrid vision sensor is equipped with a computing unit, which runs a hybrid vision road defect recognition and localization algorithm. The hybrid vision in the UAV sensor includes traditional RGB vision and DVS pulse vision. The traditional RGB vision is used to detect the texture details of the road, while the DVS pulse vision is used to detect road anomalies at high speeds. By utilizing the rich texture details of RGB and combining the sensitive response of DVS vision to low light and dynamic lighting changes, the accuracy of road defect detection is improved. This invention features real-time asynchronous response, high dynamic range, information capture capability in low-light scenarios, and reduced motion blur.

This invention discloses a method and system for synchronous inversion of multiple atmospheric parameters, belonging to the field of atmospheric laser remote sensing technology. The probe light and the reference light are obtained by splitting laser pulses; the probe light is expanded, reflected, and then perpendicularly incident into the atmosphere, where it is scattered by the atmosphere to obtain the echo light. That is, all parameters originate from the same measurement and the same spectrum, resulting in perfect spatiotemporal consistency of the data, efficient measurement methods, and accurate measurement results. The temperature and pressure parameters in the atmosphere are calculated using the normalized scattering spectrum, and then aerosol and wind speed parameters are obtained, achieving true synchronous inversion of the four key parameters of temperature, pressure, wind speed, and aerosols for the first time. Furthermore, in applications such as meteorological forecasting, achieving synchronous measurement of atmospheric temperature, pressure, wind speed, and aerosols can save costs and improve efficiency, which has significant practical implications.

This invention provides a method for constructing helical molecules and inorganic silicon nitride composite nanochannels for single-molecule sequencing. After pretreating a silicon nitride nanopore chip to remove surface impurities and dielectric breakdown to form silicon nitride nanopores, the resulting silicon nitride nanopores are assembled in a liquid cell. A buffer solution containing positively charged or neutral helical molecules is added to one side of the flowcell, while a blank buffer solution is added to the other side. Then, under an applied bias voltage, the combined force of electrophoresis and electroosmosis drives the helical molecules to intercalate into the negatively charged silicon nitride nanopores. When the current on both sides of the flowcell suddenly drops significantly, a composite nanochannel is formed, with the helical molecules and silicon nitride channels electrostatically bonded. Increasing and continuously applying the voltage strengthens the embedded helical structure. This invention assembles helical molecules and silicon nitride nanochannels through in-situ voltage-driven assembly, resulting in stable, long-lived, and high signal-to-noise ratio chiral nanochannels.

The application discloses a method for measuring a pitch angle of a magnetic field in a core of a magnetic confinement fusion device, which comprises the following steps: simultaneously emitting microwave signals of X-mode and O-mode polarization to plasma by a Doppler backscattering diagnostic system (DBS), and receiving scattered signals returned along a transmission light path; dividing the received scattered signals into two paths by a beam splitter, one of which enters the original DBS, and the other of which enters a rotatable antenna for selecting a vibration direction of an electric field component; adjusting an included angle between the vibration direction of the electric field component of the rotatable antenna and the vibration direction of the electric field component of the DBS transmission antenna according to the vibration direction of the electric field component of the DBS transmission antenna, obtaining the vibration direction of the electric field component of the backscattering signal through the ratio of the signal intensity received by the two antennas, and further obtaining the pitch angle of the magnetic field. The above method has the advantages of low cost, almost no interference to plasma, high time resolution, and can be used for real-time measurement of the pitch angle of the magnetic field in the core of the magnetic confinement fusion device without interference.

This application provides a method for inverting the dynamic changes of the seabed sedimentary environment based on three-phase potential, including in-situ data processing, electrical signal calibration, mathematical model establishment, and dynamic change analysis. By deploying a seabed electrode array, signals such as spontaneous potential, resistivity, and redox potential are acquired in real time. An inversion algorithm is used to deduce seabed sedimentary environment characteristics, such as seabed interface location, suspended particle concentration, sediment density, porosity, and water content. This method, combined with multi-frequency signal analysis, can monitor changes in the seabed sedimentary environment in real time and identify sediment movement. Compared with existing technologies such as CN118153411B and CN110411923B, this invention covers richer inversion content, and the complementarity of potential signals improves monitoring accuracy and efficiency, exhibiting stronger adaptability and reliability. This method has lower equipment and maintenance costs, is suitable for large-scale, long-term monitoring, and can provide innovative solutions in fields such as deep-sea monitoring, environmental assessment, and resource exploration.

The present application relates to the technical field of electric machines, in particular to a propelling electric machine rotor dynamic balance correction method and system, the method comprising: obtaining time-synchronized rotation speed signals and vibration signals of the electric machine; determining rotation speed change rates at each time, and determining window lengths of analysis windows at each time based on the rotation speed change rates at each time; determining synchronous component proportions and comprehensive stability indexes of the analysis windows at each time, and determining a working condition correction factor of the electric machine based on a running working condition of the electric machine, the rotation speed change rates at each time of the electric machine, and vibration amplitudes of the vibration signals; determining comprehensive confidence levels of the analysis windows at each time according to the synchronous component proportions, the comprehensive stability indexes, and the working condition correction factor, and selecting target data from the vibration signals and the rotation speed signals according to the comprehensive confidence levels, and performing rotor dynamic balance correction using the target data. In this way, the present application improves the accuracy and consistency of propelling electric machine rotor dynamic balance correction results.

The application relates to a signal acquisition method and device, an imaging method and device, and a positron emission tomography system. The method is applied to the positron emission tomography system. The positron emission tomography system comprises a detection module, the detection module comprises a silicon photomultiplier array, the silicon photomultiplier array comprises at least two silicon photomultiplier units, the method comprises the following steps: acquiring initial photon signals received by each silicon photomultiplier unit, comparing each initial photon signal with a preset trigger threshold to obtain a comparison result; and in the case that the comparison result is that at least two initial photon signals are greater than the preset trigger threshold, acquiring a target photon signal from the initial photon signals received by each silicon photomultiplier unit. The signal acquisition method provided by the application can improve the time resolution.

The application relates to a double-coaxial microstrip antenna sensing system for horizontal oil-water two-phase flow related velocity measurement, which comprises a test pipeline, a central insert and two coaxial microstrip antenna sensors fixed upstream and downstream of the test pipeline respectively and having the same structure, the coaxial microstrip antenna sensor comprises a receiving microstrip antenna close to the outside of the test pipeline and a transmitting microstrip antenna installed in the central insert, the receiving microstrip antenna comprises a receiving antenna ground plate, a receiving antenna radiation plate and a receiving antenna port, the receiving antenna ground plate and the receiving antenna radiation plate are coaxial, and the receiving antenna ground plate is located outside the receiving antenna radiation plate; the transmitting microstrip antenna comprises a transmitting antenna radiation plate, a transmitting antenna ground plate and a transmitting antenna port, the transmitting antenna ground plate and the receiving antenna radiation plate are coaxial, and the transmitting antenna ground plate is located inside the transmitting antenna radiation plate. The application can meet the high-precision flow velocity detection requirement under complex flow patterns.

The invention provides a propeller phase synchronous measurement device and method based on U-NET feature recognition, and belongs to the technical field of flow field measurement, and the device comprises a test water tank, a to-be-measured object is installed in the test water tank, the four sides of the test water tank are provided with light-transmitting windows, and optical observation and measurement are carried out; the feature capture high-speed camera is arranged on a window on any side of the test water tank, and the water prism is arranged on a window of an observation surface of the test water tank where the feature capture high-speed camera is located; the active control processing system controls synchronous triggering of the feature capturing high-speed camera and the measuring equipment through the synchronous signal controller and records collected data. According to the invention, the characteristic capturing high-speed camera after algorithm learning is used for accurately positioning and outputting required phase angle information, so that the purpose of testing and measuring a flow field at a certain specific angle is achieved; and an indispensable data basis is provided for verifying and improving related unsteady flow physical models, optimizing hydrodynamic performance of fluid machinery and inhibiting flow instability.

The application provides a compressor rotor outlet unsteady flow field distribution measurement and analysis method, comprising: arranging a movable slot extending in the circumferential direction on a compressor casing corresponding to a rotor blade outlet, so that a probe in the movable slot moves in the circumferential direction and the radial direction to perform spatial scanning on the rotor blade outlet; performing lock-in measurement, and controlling the probe to collect dynamic pressure signal data according to set acquisition parameters; and establishing a time axis and a space axis respectively according to dynamic pressure signal data obtained by a probe measuring point in a certain blade height direction of the rotor blade and corresponding circumferential space positions and measurement time sequences, and then establishing a time-space correlation axis; performing interpolation on dynamic pressure signal data on the time-space correlation axis to obtain a flow field reconstruction virtual channel, so as to obtain a change rule of dynamic pressure signal distribution of the rotor blade blade height position with time; and repeating the above steps for measuring points at different radial positions of the rotor blade to obtain a transient two-dimensional distribution of the rotor outlet flow field parameters.

The invention discloses a correlation type optical time domain reflection signal processing method and system, and relates to the technical field of optical fiber sensing, and the method comprises the following steps: a transmitting end transmits a dual-polarization quadrature phase shift keying optical signal to an optical fiber; a receiving end obtains a coherent superposition signal of the dual-polarization quadrature phase shift keying optical signal reflected by each scattering point of the optical fiber through coherent detection; respectively calculating respective Jones vector inner products according to the dual-polarization quadrature phase shift keying optical signal and the coherent superposition signal, and performing preset correlation operation according to the Jones vector inner products of the dual-polarization quadrature phase shift keying optical signal and the coherent superposition signal to obtain a composite signal. Natural suppression of laser phase noise, obvious weakening of optical fiber front section common optical path disturbance and stable measurement insensitive to polarization state rotation can be realized.

This invention relates to the field of electrical equipment insulation condition testing technology, specifically a method and system for detecting the degradation of insulating encapsulation materials based on molecular vibrations. The method includes applying a periodic high-voltage square wave pulse voltage to the insulating encapsulation material sample under test, detecting the molecular vibration acoustic wave signal excited by the transient electric field force, capturing the transient molecular vibration waveform within a specific acquisition window after the pulse edge, extracting multi-dimensional features from the acquired transient molecular vibration waveform, inputting the extracted multi-dimensional features into a pre-constructed evaluation model or comparing them with a preset threshold, and outputting the current degradation degree or degradation assessment result of the insulating encapsulation material under test. By extracting the time-domain amplitude, waveform morphology, relaxation time, and wavelet packet entropy of the vibration waveform through multi-dimensional feature extraction, and employing a dual criterion of mechanical damage and energy dissociation, the degradation degree of the insulating encapsulation material is assessed.

The application relates to a space non-continuous deformation monitoring method based on a time-series InSAR technology, and specifically comprises the following steps: firstly, an arc network is constructed based on selected coherent points, and an arc segment solving model without a deformation mode constraint is used to perform time-series solving on all arc segments in the network; then, based on a phase jump mechanism at a non-continuous deformation position, an arc segment mean square error threshold method is used to detect the displacement discontinuous position and divide the coherent network into multiple independent subnetworks; based on the mechanical deformation characteristics of the structure, a center point in each subnetwork is selected as a reference point, and then multi-reference-point and adaptive unwrapping of all subnetworks are completed, and finally, relatively reliable deformation monitoring results are obtained. The method provided by the application can automatically detect the displacement discontinuous position and perform adaptive segmented unwrapping, can overcome the inapplicability of existing time-series InSAR algorithms in space non-continuous deformation monitoring, and improves the reliability of the deformation monitoring results.

The application provides a venipuncture training and examination model simulation arm module, which simulates the forearm structure of an adult, and is sequentially provided inside a simulation arm body from outside to inside with a simulation skin layer made of flexible high polymer elastic material and detachably installed on the outer surface of the simulation arm, a simulation fat layer provided inside the simulation skin layer and used for simulating the buffer resistance of subcutaneous fat tissue, a simulation muscle layer provided inside the simulation fat layer and used for supporting the arm shape and providing puncture resistance, and a simulation venous vessel network embedded between the simulation fat layer and the simulation muscle layer according to the real anatomical running, wherein the simulation skin layer, the simulation fat layer, the simulation muscle layer and the simulation venous vessel network are all configured as detachable modules, and can be replaced with combinations of different thickness, hardness and venous elasticity parameters according to the training requirements.

The application relates to a time difference determination method, an imaging method and a positron emission tomography system. The method is applied to the positron emission tomography system. The positron emission tomography system comprises at least two corresponding detection modules. Each detection module comprises a silicon photomultiplier array, and the silicon photomultiplier array comprises at least two silicon photomultiplier units. The method comprises: for each detection module, acquiring a photon signal received by each silicon photomultiplier unit in the detection module; the photon signal comprises time information; and determining a target time difference between a photon signal pair received by the corresponding detection module according to the time information in all the photon signals. The time difference determination method provided by the application can reduce the target time difference between the photon signal pair, so that the time resolution can be optimized.

This invention discloses an ultra-high spatiotemporal resolution single-shot measurement system based on warm-dense gold, belonging to the field of pump-probe technology. It includes a femtosecond laser module, a femtosecond pulse compression module, a femtosecond pulse shaping module, a 400nm few-period femtosecond pulse module, a sample module, a probe light module, and an imaging system module. The femtosecond laser module provides a femtosecond laser beam, which is compressed by the femtosecond pulse compression module to generate a few-period femtosecond pulse. After optimization by the femtosecond pulse shaping module, the pulse is split into two beams. One beam is used to generate an ultraviolet-band few-period femtosecond pulse through the 400nm few-period femtosecond pulse module, serving as the pump light. The other beam is used to generate an 800nm ​​few-period femtosecond pulse through the probe light module, serving as the probe light. The sample to be measured is placed inside the sample module, and the pump light and probe light act on the sample module simultaneously. Imaging is achieved through the imaging system module. This invention solves the problem that due to low temporal resolution, the Auger time of electrons in metals is on the order of 10 femtoseconds, making it impossible to effectively detect the initial processes of the formation of warm-dense materials.

The present application relates to a kind of detection methods for evaluating the strain aging degree of welded steel structure, the present application carries out tensile test to the welded joint test piece of different pre-strain, different aging treatment, and utilizes AE detection technology and IRT detection technology to carry out real-time monitoring, obtains AE time domain signal and temperature time history, obtains AE local energy ratio, AE damage parameter, temperature rise rate by post-processing and determines it as input layer, and strain aging damage index is output layer, to establish neural network model.For the sample to be detected, AE detection and IRT detection are carried out on the tensile process, and the characteristic parameters processed after the characteristic parameters are input into the neural network model established, and the strain aging degree can be evaluated.The method of the present application is not limited by the type of welding defects, sampling position, sampling quantity and the like, and the two detection techniques are mutually compensated in mechanical energy dissipation, improving the accuracy of strain aging degree grade evaluation.

The application discloses a normalized W transform method based on local frequency constraint and used for gas reservoir identification. The method firstly inputs a seismic signal, adopts total variation regularization combined with Bregman iteration to solve local frequency, and improves stability and noise resistance of frequency estimation; on the basis, a standard deviation function fusing local frequency constraint, frequency deviation suppression and amplitude adaptive adjustment is constructed, adaptive regulation and control of a W transform analysis window are realized, a time-varying main frequency normalization mechanism is introduced, and a high-resolution time-frequency spectrum is obtained; finally, at least two characteristic frequency points are selected based on energy accumulation distribution of the time-frequency spectrum, linear fitting is performed on the characteristic frequency points, a frequency attenuation gradient attribute is calculated, and the frequency attenuation gradient attribute is used for representing distribution characteristics of the gas reservoir.

The invention relates to a chemical coal blending method and device and computer equipment. The method comprises the following steps: acquiring spectral data of a to-be-distributed coal flow, and performing batch segmentation processing and regression processing on the spectral data to obtain a batch quality vector of the to-be-distributed coal flow; determining a batch quality code of the batch quality vector according to the hearth tolerance envelope; determining a reference time frame, and constructing a time sequence topological graph based on the reference time frame; determining a target cross-layer edge set pointing to a hearth node in the time sequence topological graph, determining a root node state of the search tree based on the target cross-layer edge set, and performing mixed integer tree search in combination with a priority bit of batch quality coding to obtain a candidate scheme set; performing index evaluation and risk priority ranking on candidate schemes in the candidate scheme set to obtain an ordered feasible solution list; and analyzing the first feasible scheme in the ordered feasible solution list into an equipment readable instruction, and carrying out coal flow scheduling according to the equipment readable instruction. According to the invention, a coal blending scheme capable of meeting various requirements can be provided.

The application provides an event camera-based vibration measurement method and device, equipment and a storage medium. The method comprises the following steps: converting an event stream corresponding to a vibrating object collected by an event camera into a complex image; decomposing the complex image into a plurality of subbands of different scales and directions; calculating a phase change signal of the vibrating object in combination with phase information of each subband; and determining a vibration frequency of the vibrating object according to the phase change signal. Through implementation of the application, the vibration frequency of the object is measured by using a non-contact measurement method. The event camera has the characteristics of high time resolution and high dynamicity, can support capturing high-speed motion of the object under low brightness conditions, and the collected data is only related to the motion of the object, thereby reducing data redundancy. Therefore, the accuracy of the vibration measurement result is effectively improved, and the data processing amount is reduced.

This invention discloses a rapid quantitative differential interferometry microscopy system and method based on holographic recording. The system includes a partially coherent illumination module and, sequentially arranged along the optical axis of the partially coherent illumination module, a microscope objective, a microscope tube lens, a transmission grating, a first linear polarizer, a first thin lens, a half-wave plate, a light-shielding plate, a phase-type spatial light modulator, a second thin lens, a second linear polarizer, and an image acquisition module. This invention utilizes a phase-type spatial light modulator to achieve shear shifts in any direction and to any degree, making it suitable for various applications. The system uses the grating carrier frequency to achieve holographic recording of differential interferometry, enabling quantitative differential interferometry detection of the sample using only two acquired images. It exhibits very high temporal resolution, spatial resolution, and imaging accuracy, showing broad application prospects in biological imaging and industrial detection.

The invention relates to the technical field of meteorological ecological observation, biological safety detection, environment monitoring and the like, and discloses a biological aerosol automatic identification system and method based on ultraviolet fluorescence imaging, and the system comprises an environment control module, an aerosol sampling module, an adhesive tape transmission module, an ultraviolet microscopic imaging module and a control and data processing module. The environment control module is used for constructing a constant-temperature closed optical darkroom; the aerosol sampling module captures biological particles in the air on the surface of a carrier adhesive tape by utilizing an acceleration nozzle and an inertial impact principle; the adhesive tape transmission module realizes automatic transfer of a sample from a sampling position to a detection position through stepping control; the ultraviolet microscopic imaging module adopts a coaxial incident light path structure and is matched with a dichroic spectroscope and an optical filter to separate exciting light and fluorescence signals. According to the invention, full-process automatic in-situ monitoring of the biological aerosol is realized, the problem of background interference is effectively solved, and the real-time performance of detection and the recognition accuracy are improved.

Multi-angle reflection type PPG non-invasive cerebral venous sinus blood oxygen measurement method and device, wherein the blood oxygen measurement method comprises the following steps: S1, the wavelength incidence angle and the light source-probe interval predetermined optical probe is pasted on the occipital region of the measured person, in at least including the calibration period and the monitoring period multiple period, drive the multi-wavelength light source in the optical probe to emit detection light at different incidence angles, and the optical reflection signal of the shallow tissue and the deep blood flow is collected by multiple photodetectors simultaneously;S2, the optical reflection signal is interfered and inhibited, the optical reflection signal collected in the calibration period is matched and fitted with the pre-established tissue optical parameter model library, and the individualized skull parameter set of the occipital region of the measured person is estimated based on the optimization algorithm. The blood oxygen measurement method and device can continuously, real-timely and reliably reflect the monitoring of the cerebral venous sinus blood oxygen state under non-invasive conditions.

The invention discloses an absolute geomagnetic field vector observation method, and relates to the technical field of geomagnetic measurement. The absolute geomagnetic field vector observation method comprises the following steps: correcting drift values of three axes (A axis, B axis and C axis) of a three-axis fluxgate sensor for observation by using a three-axis magnetic sensor for correction and a magnetic shielding cylinder; determining the relative relationship between the three axes and the optical axis of the telescope of the non-magnetic theodolite, determining the absolute orientation of the three axes, and calculating the geomagnetic field component under the geographic coordinate system by combining the magnetic field readings of the three axes; the absolute total field intensity of the geomagnetic field observed by the total field sensor is used for correcting the observation error of the three-axis fluxgate sensor to obtain a corrected absolute geomagnetic field vector (including an absolute geomagnetic declination angle and a geomagnetic inclination angle); during the period, the three-axis magnetic sensor for correction and the magnetic shielding cylinder are used for automatically correcting the three-axis fluxgate sensor for observation. By implementing the absolute geomagnetic field vector observation method provided by the invention, high-precision absolute automatic continuous observation of three parameters including the geomagnetic field intensity, the geomagnetic declination and the geomagnetic dip angle can be realized.

The invention provides a spectral absorption three-dimensional imaging system and method based on parallel light beams and area array detection, relates to the technical field of optical precision measurement and tomography, and aims to solve the problems that high time and high spatial resolution, low system complexity and low cost cannot be compatible at the same time and three-dimensional field distribution cannot be quickly reconstructed with high precision in the prior art. The system comprises a laser emission and modulation module, a beam shaping module, a to-be-measured area, an area array sensor and a data processing module. The light beam shaping module, the to-be-detected area and the area array sensor are arranged on the same plane axis, the light beam shaping module comprises a first collimating mirror and an imaging module which are sequentially connected along a light path, the first collimating mirror forms parallel light beams, and the imaging module performs multi-angle rear two-dimensional imaging; and the area array sensor is electrically connected with the data processing module, is processed and controlled by the upper computer, and reconstructs a two-dimensional image into a three-dimensional field. According to the invention, problems in the prior art are solved, and rapid and high-precision three-dimensional imaging is realized.

This invention relates to a precipitation time-downscaling forecasting method based on the smoothed weighted allocation method, belonging to the field of meteorological precipitation forecasting technology. This invention addresses the key issue of refined quantitative precipitation forecasting in meteorological services and disaster prevention and mitigation decision-making. It achieves time-downscaling of precipitation at the hourly scale by sequentially averaging, smoothing, and weighting the model's 3-hour cumulative precipitation forecast using the ASW (Averaged-Smoothen-Weighted) method. During this process, a weighted allocation coefficient for time-downscaling is constructed and applied to the hourly precipitation sequence calculation. This adds a nonlinear perturbation term to the temporal variation of precipitation, making the downscaling process closer to the actual physical changes, while ensuring that the model's 3-hour cumulative precipitation remains unchanged before and after downscaling. This method can achieve hourly precipitation forecasts over 120 hours, improving the time resolution of model precipitation forecasts and is suitable for regional or single-station refined precipitation forecasting.

The invention belongs to the technical field of emission quantitative characterization methods, particularly relates to an industrial source atmospheric pollutant monthly scale emission quantitative characterization method, belongs to the technical field of emission quantitative characterization methods, and discloses an industrial source atmospheric pollutant monthly scale emission quantitative characterization method. The method aims at solving the problems that an existing industrial source emission quantification method is low in time resolution, provincial monthly data adaptability is poor, dynamic changes of emission coefficients are not effectively coupled and the like, and the requirement for monthly-scale emission data of atmospheric pollution refined control is met.

This invention belongs to the field of power technology and discloses a power grid frequency estimation method and system based on an event camera. The invention first records the event stream corresponding to light source flickering in a lighting environment using an event camera; then, it resamples the event stream along the time dimension to obtain several uniformly sampled event blocks; next, it performs polarity normalization on all event blocks to obtain the polarity of the lighting intensity change for each event block within its corresponding time period; it combines the polarities of the lighting intensity change of all event blocks chronologically to obtain a complete lighting polarity sequence; finally, it performs time-frequency analysis on the lighting polarity sequence to obtain the power grid frequency estimation information corresponding to the lighting environment. This invention can obtain good power grid frequency estimation results.

This utility model discloses a bicycle electronic lock device based on UWB technology, which is installed behind the bicycle seat and includes a main body and a lock / unlock module. The main body houses a latch and a motor that drives the latch to extend and retract. The lock / unlock module includes: a UWB communication unit that transmits / receives UWB pulse signals and measures the transmission time of the UWB pulse signals; a control unit that calculates the relative distance between the electronic lock device and a smart terminal based on the transmission time and compares the calculated relative distance with a preset unlocking distance to generate a control signal; the control unit is configured to transmit the control signal to the motor, thereby actuating the latch to perform unlocking or locking operations. This utility model utilizes UWB technology to achieve centimeter-level or even millimeter-level positioning accuracy, enabling precise identification of the relative position of the user and the bicycle. This high-precision positioning greatly improves system security and effectively prevents illegal unlocking and theft.

The application discloses a kind of near-surface air temperature direct reduction rate generation method based on MODIS data, belong to remote sensing near-surface air temperature direct reduction rate generation technical field.The present application directly generates near-surface air temperature data using MODIS data, reduces the uncertainty brought by many auxiliary parameters in the generation process of near-surface air temperature;Using moving window convolution, strictly control the data in moving window, and then generate high temporal resolution, spatially continuous near-surface air temperature direct reduction rate product.The present application reduces the dependence on a variety of auxiliary ground variables and meteorological station measured values in the traditional near-surface air temperature direct reduction rate estimation method;The present application judges whether the field pixel of remote sensing data meets the requirements pixel by pixel, changes the size of moving window according to the judgment result, strictly controls the input data of model, to obtain credible daily spatially continuous SATLR;The near-surface air temperature direct reduction rate produced by the present application has the characteristics of high temporal resolution, spatially continuous, etc.