164 results about "Distance correction" patented technology

Three-dimensional outdoor positioning can be considerably enhanced by using various 3D imaging techniques, LiDAR ranging measurements of surrounding landmarks, and Inertial Measurement Units (IMUs) reaching accuracies in the centimetres range. These technologies, in conjunction with global navigation satellite systems (GNSS) such as GPS, GLONASS, Galileo, and BeiDou, provide autonomous geo positioning. It is crucial to acknowledge the constraints of dead reckoning, which may result in mistakes in positional precision. Integrating modern imaging and correction techniques can significantly improve the accuracy and dependability of outdoor localisation. The amalgamation of various 3D imaging methodologies with LiDAR enhancements improves the comprehension and ranging of the environment, tackling the difficulties presented by GNSS constraints. The integration of IMUs with satellite systems ensures the provision of continuous traveling positioning data, even in instances of obscured or faulty satellite signals. This comprehensive approach improves outdoor location precision and expands the use of these technologies across other domains, such as autonomous navigation, robotics, and geospatial analysis, resulting in more effective and dependable positioning solutions. The hardware system consists of a swarm of sensors, including GNSS, INS, IMU, LiDAR, stereo imaging, and RGB technologies, which are combined to generate three-dimensional colored representations of natural landscapes and urban environments. This system reconstructs topographical features, enabling detailed mapping and analysis. It produces comprehensive three- dimensional sensory data, including geo-location and POI identification, and incorporates advanced image processing techniques, such as edge detection, for precise spatial awareness and environmental understanding. The system is designed with a compact form factor, making it easily integrated into wearable devices and autonomous vehicles. The integration of these technologies forms a sophisticated network of swarm intelligence, crucial for autonomous vehicle positioning and navigation. Particle swarm optimization (PSO) is used to address non-deterministic navigation, with different coupling fusion methods available. The Neuro-fuzzy PSO AI Positioning and Navigation System generates three-dimensional sensory data, providing detailed information about geographical distribution and dead reckoning areas.

The invention focuses on enhancing indoor positioning and navigation through advanced synchronous fusion methodologies that integrate various technologies, including Inertial Navigation Systems (INS), Inertial Measurement Units (IMU), LiDAR, stereo vision, and Sonar. This comprehensive system aims to achieve high-precision data collection with centimeter-level accuracy, crucial for creating detailed three-dimensional indoor maps. A significant aspect of this innovation is its ability to address privacy concerns by incorporating measures that abstract sensitive segments of the environment when necessary, ensuring personal privacy is maintained during data collection. Additionally, the system tackles challenges such as voids in stereo imaging and temperature variations in ultrasound and LiDAR measurements through sophisticated algorithms and corrections, including back propagation techniques that utilize stereo depth data. By employing particle swarm optimization and Neuro-Fuzzy algorithms, the framework enhances the accuracy and reliability of navigation in complex environments, making it particularly beneficial for emergency responders and personal navigation in unfamiliar settings.

The invention discloses a millimeter wave SAR icing thickness inversion algorithm based on deep learning, and aims to solve the problems of insufficient icing monitoring precision and poor real-time performance under complex meteorological conditions. According to the algorithm, high-quality input is provided for deep learning modeling through data preprocessing including slope distance correction, polarization denoising, back scattering characteristic extraction and data enhancement. A multi-branch deep neural network structure is adopted for feature extraction, and in combination with a Swin Transformer V2 trunk, a Gated MLP module, cross-modal attention fusion and physical consistency constraint, the adaptability of the model to millimeter wave SAR data and multi-modal input is improved. Meteorological parameters and line operation data are integrated through multi-modal data fusion, and model robustness is enhanced. Finally, an icing thickness prediction value is output through real-time reasoning, intelligent early warning is triggered in combination with confidence analysis, end-to-end real-time response is achieved, the intelligent level of safe operation of a power grid is remarkably improved, and the method has wide application value.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention relates to the technical field of sonar, in particular to a side-scan sonar seabed line detection method. The method comprises the following steps: firstly, acquiring real-time echo signal data of the left and right sides of the side-scan sonar, then updating detection parameters of the left and right sides according to the echo signal data, and then respectively detecting the off-bottom heights of the left and right sides; judging whether the left and right terrain clearances are symmetrical or not, and correcting error data; and obtaining the ground clearance of the starboard and the starboard of the current frame, smoothing the result, and outputting a submarine line tracking result, and the smoothing method adopts a median filtering method or a Kalman filtering method or a delay filtering method. According to the method, a seabed line result can be accurately detected in real time instead of post-processing based on a side-scan sonar image, the method can be used for wet end grounding early warning, and a basis is provided for side-scan sonar image real-time slope distance correction, image equalization, target real size measurement and sound image real-time inlaying.

The invention belongs to the technical field of ocean laser radar remote sensing detection, and particularly relates to an ocean subsurface water body element vertical structure inversion method and system and a computer program. The method comprises the following steps: carrying out preprocessing, distance correction and logarithm conversion on a laser radar echo signal; constructing an iterative hybrid inversion model to invert a water body attenuation coefficient and a particulate matter backscattering coefficient; performing scattering correction for multiple times; matching multi-source data to construct a deep learning model; and finally inverting the chlorophyll concentration and the vertical section of the granular organic carbon. According to the method, the multiple scattering effect of the water body and the influence of system parameters are comprehensively considered, data driving and a physical model are combined, high-precision and automatic marine water body element inversion can be achieved under the complex water quality condition, and the method is suitable for ecological environment monitoring and research of large-range and multi-type sea areas.

The invention discloses a monocular camera-based vehicle distance measurement optimization method and system, and the method comprises the steps: collecting the motion characteristics of a vehicle, and continuously obtaining an environment perception image containing a license plate and a target object in the axial direction of the vehicle through a vehicle-mounted monocular camera; extracting a license plate area image and target object features from the image, determining a vehicle approximate distance by using a triangle method, obtaining a vehicle estimation distance by using a monocular depth estimation model, and determining a distance correction coefficient based on a license plate; determining a distance correction coefficient of the target object by using a pre-trained linear regression model based on the distance correction coefficient of the license plate, the vehicle motion characteristics and the target object characteristics; and determining the estimated distance of the target object by using a monocular depth estimation model, and determining the corrected distance of the target object in combination with the distance correction coefficient of the target object. According to the invention, the complementarity of the two methods is comprehensively utilized to reduce errors, corresponding correction coefficients are determined for different target objects, and more accurate target object distance measurement is realized.

A kind of passive temperature measurement ranging method and system based on multispectral infrared, multispectral long-wave infrared detection system is designed, multispectral infrared temperature measurement ranging model is constructed, the difference between the minimum system observation value and model calculation value is taken as objective function, KKT and gradient descent method are used to solve model parameters preliminarily.Further, the temperature and distance correction model is established, the loss function fusing data error term and physical information term is designed, and the corrected temperature and distance are obtained.The multispectral long-wave infrared detection system is used to obtain infrared thermal image of specific wavelength, and the multispectral infrared detection model is established, the temperature and distance of target object are synchronously obtained, and the accuracy and reliability are high.

The invention belongs to the technical field of seismic data processing in geophysical exploration, and relates to a Marchenko multiple suppression method for correcting wave field mismatch based on Wasserstein distance, which comprises the following steps: acquiring a pulse reflection sequence through preprocessing and deconvolution; a pulse reflection sequence is input, and Marchenko iteration initialization is carried out; and remodeled Marchenko iteration for correcting the wave field mismatch based on the Wasserstein distance is carried out. According to the method, the optimal transmission theory is systematically introduced into the Marchenko multiple wave suppression field for the first time, the adaptive capacity of the Marchenko method to actual data noise, defect and amplitude distortion is remarkably improved while the advantage that the Marchenko method does not need a speed model is kept, and therefore higher-precision multiple wave suppression and more reliable primary wave recovery are achieved, and the method is suitable for popularization and application. The method is used for high-precision seismic imaging in a complex land exploration environment. The method has remarkable advantages in the aspects of constraint mechanism, error control and global feature protection.

In order to facilitate accuracy improvement in identification of a position of vibration on a road caused by a vehicle and detected through an optical cable, this distance correction device: derives, from vibration data for each optical fiber distance detected through an optical fiber installed along the road on which the vehicle travels, a first vibration value indicating the magnitude of vibration within a prescribed frequency range for the optical fiber distance; derives, from the first vibration value, a bridge optical fiber distance which is an optical fiber distance to a prescribed position of the optical fiber installed at a bridge; and corrects, from the bridge optical fiber distance and a road distance which is a distance, along the road, from a reference point to a bridge optical fiber position, the optical distance within a prescribed range so as to be closer to the road distance.

The invention belongs to the technical field of coal mine tunneling equipment positioning, and provides a method and a system for positioning a tunneling and anchoring all-in-one machine in a coal mine tunneling roadway in order to solve the problems of error accumulation, environmental interference and system reliability existing in a traditional underground positioning mode. The method comprises the following steps: acquiring multi-source sensing data acquired by a multi-source sensor array deployed on a digging and anchoring all-in-one machine; performing time synchronization and space synchronization processing on the multi-source sensing data to obtain a fusion data set under a unified timestamp and a unified coordinate system; and inputting the fusion data set into an improved Kalman filtering framework for data fusion, performing distance correction by using a mahalanobis distance, and determining a real-time pose state of the driving and anchoring all-in-one machine according to a data fusion result and a distance correction result. According to the invention, the positioning precision, the system robustness and the reliability of the digging and anchoring all-in-one machine under extremely severe working conditions are obviously improved, and the inherent defects of large accumulative error, easiness in environmental interference and easiness in failure in a traditional single sensor positioning mode are effectively overcome.

The invention discloses a correction method especially used for correcting a retroreflection brightness coefficient, and the method comprises the steps: obtaining a to-be-corrected original retroreflection brightness coefficient determined according to marking detection data, at least one part of the marking detection data is obtained under the condition of projection light, and the projection light has a calibrated projection distance; acquiring an actual projection distance of the projection light projected to a detected position when the marking line detection data is acquired; determining a distance correction coefficient according to the calibrated projection distance and the actual projection distance; and correcting the original retroreflection brightness coefficient to be corrected according to the distance correction coefficient so as to obtain the retroreflection brightness coefficient subjected to distance correction. The invention further discloses another correction method based on ambient light correction. In addition, the invention also discloses a related correction device, electronic equipment and a program product.

The embodiment of the invention provides a pseudo-range multipath deviation determination method. Comprising the following steps: according to a phase center error value of a satellite antenna for transmitting signals on a plurality of frequency points by a first satellite under a satellite-fixed system and first information under an earth-centered earth-fixed system, determining a distance correction amount of projection of a phase center of the satellite antenna for transmitting signals on the plurality of frequency points in a sight line direction of the first satellite, the first information comprises position information of a first satellite, sun position information and receiver position information of the first satellite; based on a first distance correction amount of a phase center of the satellite antenna transmitting the signal on the first frequency point and a second distance correction amount of a phase center of the satellite antenna transmitting the signal on the second frequency point, determining a target pseudo-range multipath deviation of the satellite antenna transmitting the signal on the first frequency point, the first frequency point is any frequency point included in the plurality of frequency points, and the second frequency points are other frequency points except the first frequency point included in the plurality of frequency points.

The invention discloses a campus take-out order data management system based on location-based service, and belongs to the technical field of order management. The system comprises a positioning data acquisition module, an environment adaptive modeling module, a distance correction module and a confidence evaluation module. The method comprises the following steps: triggering a code scanning action of a rider, and synchronously obtaining GPS coordinates and Bluetooth signal intensity; establishing an adaptive signal attenuation model based on historical data of the meal taking cabinet, and calculating a high-precision correction distance; and finally, carrying out spatial vector consistency verification by fusing the GPS position and the correction distance, and generating an arrival confidence score, thereby accurately triggering order delivery confirmation, enhancing the discrimination capability of a false arrival behavior, remarkably improving the accuracy of order state updating, and improving the user experience. The problem of false delivery misjudgment of a rider caused by inaccurate positioning of the GPS in a complex environment in the prior art is solved.

The invention discloses a sight tracking method and system based on cascade deep learning and distance correction, and a storage medium. The method comprises the following steps: processing an eye image through a cascade deep learning model, and obtaining pupil center coordinates and cornea reflection light spot coordinates of two eyes; calculating a binocular pixel distance as a distance correction factor based on the pupil center coordinates, and calculating a relative position difference vector based on the pupil and light spot coordinates; establishing a three-dimensional nonlinear polynomial regression model taking the relative position difference vector and the distance correction factor as input; obtaining calibration data through a multi-distance sampling strategy and solving a model coefficient; and in the real-time tracking stage, calculating the coordinates of the fixation point of the screen by using the solved model. According to the method, the distance correction factor and the three-dimensional mapping model are introduced, so that geometric errors caused by forward and backward movement of the head of the user are effectively eliminated, meanwhile, the feature point positioning precision is ensured through cascaded deep learning detection, and the precision and robustness of a sight line tracking system are remarkably improved.

The invention provides a correction deviation value obtaining method and device. According to the method and the device, the situation that the vehicle presses the elevation change object such as a well lid, a pit or a deceleration strip on the ground under the condition that the vehicle does not have actual collision is considered, so that the pressing moment when the vehicle actually presses the elevation change object such as the well lid, the pit or the deceleration strip is obtained. And the correction deviation value is obtained based on the over-pressing moment, so that subsequent error correction is facilitated. According to the method, the first distance correction deviation value of the distance sensor, the first speed correction deviation value of the speed sensor and the first moment correction deviation value of the output moment when the distance sensor outputs the distance can be obtained under the condition that the vehicle is not subjected to actual collision, so that the safety of the vehicle is improved; and the precision of the obtained first distance correction deviation value, the first speed correction deviation value and the first moment correction deviation value is not reduced.

The invention relates to the technical field of atmospheric environment monitoring and optical detection, in particular to an aerosol vertical profile correction method and device for aerosol scattering coefficient and laser radar combined observation, and the method comprises the steps: S1, collecting echoes according to an integral window, and obtaining distance correction echoes; s2, collecting a height scattering coefficient greater than or equal to 2, and aligning the height scattering coefficient with a distance correction echo grid / time; s3, background deduction, resolution matching and invalid height elimination are carried out to obtain preprocessed echoes; s4, generating an initial scattering coefficient profile; s5, identifying layered boundary division layer intervals; s6, establishing a correction factor model for each layer, adding overlap compensation to the near earth, and introducing a system constant; s7, taking the consistency of the total height of the theoretical echo and the preprocessed echo as a target, taking the consistency of multi-height scattering coefficients as a constraint, and carrying out joint solving to obtain correction factor distribution; and S8, outputting a correction profile, boundary information and a parameter set. According to the method, system constants and overlap compensation are solved by preprocessing echo layering scale gradient correction factors through combination of full-height consistency and two-height actual measurement constraints, and a correction profile is stabilized.

To provide a distance measuring device, a distance measuring system, a distance correction method, and a distance measuring program that can correct a distance error occurring between pixels included in a light receiving sensor due to the influence of a different multipath for every pixel.SOLUTION: A distance measuring device comprises: an irradiation unit that irradiates an object to be measured with measuring light; a light receiving sensor that receives reflected light from the object to be measured, and detects an amount of exposure based on the reflected light; a storage unit that stores correction information indicating a correction formula set including a plurality of correction formulas associated respectively with a plurality of pixels and application ranges of the correction formulas; and a distance calculation unit that calculates a measured distance to the object to be measured on the basis of the amount of exposure. The distance calculation unit corrects the measured distance for every pixel on the basis of the correction information stored in the storage unit, by using a correction formula corresponding to an application distance range including the measured distance, of the plurality of correction formulas included in the correction formula set, and thereby executes distance correction calculation of calculating a post-correction measured distance for every pixel.SELECTED DRAWING: Figure 1

The invention discloses a three-dimensional modeling device and method for a semiconductor factory. The method comprises the steps that an acquisition module acquires interface layout information and connection element data of the semiconductor factory; the equipment modeling module receives semiconductor factory interface layout information, determines a three-dimensional modeling starting point and generates a semiconductor factory equipment model containing an equipment interface; the connection element modeling module determines an element connection path by using semiconductor factory starting equipment or factory service interfaces, combining element interface matching rules and logic relation information among elements, and fusing a three-dimensional touch automatic checking algorithm and an optimal path algorithm based on safe distance correction; and interface connection among elements in each semiconductor factory equipment model in the equipment modeling module is realized, and three-dimensional modeling of the semiconductor factory is completed. According to the method, the layout information and the connection element information are fused, and three-dimensional modeling of the semiconductor factory is efficiently and accurately achieved through the logic relation between the connection elements and a three-dimensional touch automatic verification algorithm.

Three-dimensional outdoor positioning can be enhanced by using various 3D imaging techniques, LiDAR ranging measurements of surrounding landmarks, and Inertial Measurement Units. These technologies, in conjunction with global navigation satellite systems provide autonomous geopositioning. Integrating modem imaging and correction techniques can improve the accuracy and dependability of outdoor localisation. This approach improves precision of outdoor location and expands the use of these technologies across other domains, such as autonomous navigation, robotics, and geospatial analysis, resulting in positioning solutions. This system reconstructs topographical features enabling detailed mapping and analysis. It produces three-dimensional sensory data, including geo-location and POI identification, and incorporates advanced image processing techniques, for precise spatial awareness and environmental understanding.

System, methods, and other embodiments described herein relate to improving the protection of a first vehicle using a second vehicle. In one embodiment, a method includes determining a predicted distance to at least one object using an image acquired by a camera of a vehicle, inferring a contextual feature about the image, and in response to determining the contextual feature is associated with a correction factor, correcting the predicted distance using the distance correction factor.

The application discloses a vortex electromagnetic wave radar forward-looking imaging method and system based on a concentric circular array design, a storage medium and an electronic device, and specifically comprises the following steps: establishing a new system radar imaging model according to a radar working mode; designing a concentric circular array and a vortex mode transmitting function; deriving a return model; obtaining distance direction high-resolution information of a target; performing distance correction, phase decoupling and Bessel amplitude compensation on the azimuth direction of the return, and coherently superimposing the compensated return to reestablish a dual relationship between a mode and an azimuth angle; and finally, realizing vortex electromagnetic wave radar forward-looking two-dimensional imaging through fast Fourier transform on the azimuth direction. The forward-looking imaging can increase the observation time of a region of interest, keep the region of interest in a main lobe range, enhance the strength of a return, increase return information, and effectively improve the azimuth direction resolution.

The invention discloses a spaceborne radar sea surface target signal pulse accumulation and clutter suppression method, which comprises the following steps of: reconstructing an azimuth time variable by utilizing second-order keystone transformation to obtain an echo signal after distance correction, extracting an azimuth signal of the same distance unit from the echo signal after distance correction through a de-chirp function, and processing the azimuth signal to obtain a clutter suppression signal; therefore, de-chirping of the azimuth signal is realized; intra-frame coherent inter-frame non-coherent hybrid accumulation processing is carried out on an intra-frame signal of a decomposed frequency domain to obtain an echo signal containing a target signal and clutter, and the problems of span distance and Doppler unit in long-time accumulation of a moving target are optimized; the method comprises the following steps: performing inverse Fourier transform on an echo signal containing a target signal and clutter to obtain a singular value matrix after clutter suppression, and performing slow time Fourier transform on a reconstructed echo matrix to obtain an accumulation result after clutter suppression. The problem that the moving target detection performance of an existing spaceborne radar is insufficient under the influence of clutters existing in echo signals is solved.

The present application relates to a kind of adaptive cruise control methods, comprising: the speed of at least two front vehicles in the same lane with vehicle and the speed of vehicle are collected acquisition step;Two front vehicles speed keeps stable state time is calculated, and whether two front vehicles speed keeps stable state time is greater than or equal to the judgment step of first set time, wherein, speed keeps stable state refers to speed is substantially maintained at a certain speed, speed deviation value is less than first threshold value;And in the case where two front vehicles speed keeps stable state time is greater than or equal to first set time, the distance of adaptive cruise system preset to vehicle is corrected at certain time interval, and it is corrected as correction distance, so that the distance between vehicle and adjacent front vehicle can be controlled as correction distance correction step.The present application also relates to a kind of adaptive cruise control system.

The application discloses a laser radar calibration method, by rotating the reflecting plate forward and backward, the reflecting plate is switched between two positions of laser vertical and inclined incidence on the reflecting surface, and then the reflected signal strength of the laser reflected on the reflecting surface is continuously changed, the fitting calculation of the reflected signal strength received by the photoelectric detector is carried out, and the condition formula X=peak+scalea_peak and Y=real distance-TOF distance measurement value are met, the respective fitting degrees are calculated by searching the scale coefficient in the whole range, the maximum fitting degree is taken as the optimal solution, the correction coefficient of the global distance fitting of the TOF radar is calculated, the TOF distance measurement value is corrected according to the determined correction coefficient and fitting coefficient and the peak and a_peak combined with each distance measurement, and finally the TOF distance correction value is obtained, so that the calibration method of the whole laser radar can be simplified under the premise of the same reflecting plate, and the test cost is reduced.

The invention discloses a distance correction coefficient-based non-point source pollutant river-entering coefficient solving method and system, and the key points of the technical scheme are that the method comprises the steps: determining a non-point source pollutant river-entering distance correction coefficient based on the length of a branch flow and a main flow which are converged into a grid point where a pollution source is located, and calculating the river-entering coefficient of the non-point source pollutant in combination with a terrain correction coefficient; the method specifically comprises the following steps of S1, S2, S3 and S4. According to the distance correction coefficient-based non-point source pollutant river entry coefficient solving method provided by the invention, the river entry coefficient is calculated and valued according to the length from the position of the grid point to the downstream of the main stream, so that the method has certain superiority in space; the slope difference of the terrain, pollutant degradation of the spatial distance and other aspects are combined for quantitative consideration, and the value of the in-river coefficient is more accurate.

The invention discloses a side slope quasi-static earthquake effect determination method considering a pulse effect and a direction effect, and belongs to the technical field of side slope stability evaluation. The method comprises the following steps: S1, obtaining an existing near-fault seismic oscillation record, and carrying out pulse recognition on the existing near-fault seismic oscillation record to obtain a pulse and non-pulse seismic oscillation database; s2, pre-processing seismic oscillation peak accelerations in the two seismic oscillation databases; s3, obtaining a fault distance correction coefficient fitting formula and a fault azimuth correction coefficient fitting formula according to the pre-processed seismic oscillation database; s4, obtaining a fault distance correction coefficient and a fault orientation correction coefficient of the target slope according to the two fitting formulas; and S5, according to the fault distance correction coefficient and the fault orientation correction coefficient, determining the seismic action of the target slope in combination with a pseudo-static method. According to the method, the pulse effect and the direction effect can be considered at the same time, and a more accurate slope quasi-static earthquake action result is obtained.

The embodiment of the invention discloses a trailer hook identification and distance correction method and device based on a reversing radar. The method comprises the steps that a radar detection instruction is generated based on the driving state of a target vehicle, multiple sets of radar detection data are periodically obtained according to the radar detection instruction, the state of the tow hook of the target vehicle is determined based on the first radar detection data and the second radar detection data, and when it is determined that the tow hook is installed, the tow hook is installed. And determining a target tow hook length corresponding to each group of radar detection data based on Kalman filtering, and finally correcting the real-time reversing radar detection distance according to the target tow hook length. By automatically determining the recognition and length detection of the tow hook, the subsequent backing distance is corrected, the requirement for feeding back the accurate distance between the tow hook and the obstacle in real time is met, potential safety hazards are eliminated, and the use satisfaction degree of a user is improved.

The invention discloses a wireless distance correction method, a wireless positioning correction method, a wireless positioning system and a storage medium. The wireless distance correction method comprises the following steps: acquiring a calculated distance with other wireless gateways and a calculated distance with a beacon anchor point through wireless distance measurement; the actual distance between the wireless gateway and other wireless gateways is obtained; the calculated distance of the beacon anchor point is corrected based on the calculated distance and the actual distance with the other wireless gateways. According to the invention, the error characteristic measured from the'gateway-gateway 'link can be used for correcting the measurement result of the'gateway-beacon anchor' link. Due to the fact that the actual distance between the gateways is known, the error characteristic of wireless distance measurement on the link between the gateways in the current environment can be accurately calculated, the measurement result of the'gateway-beacon anchor 'link is corrected, and the wireless distance calculation error caused by environmental factors is reduced.

The invention provides a probe deflection correction method and device for a trunk liquid flow heat pulse probe. The method comprises the following steps: determining xylem volume heat capacity through tree water content and dry material density obtained through real-time measurement; under the condition that it is judged that the liquid flow speed is within the preset speed interval, in the time range from the heat pulse closing moment to the first preset moment, nonlinear fitting is conducted on the change rule of the temperature difference of the upstream probe along with time and the change rule of the temperature difference of the downstream probe along with time, and the heat conductivity is obtained; dividing the thermal conductivity by the xylem volume thermal capacity to obtain a thermal diffusion coefficient; on the basis of a heat convection conduction equation, calculating according to the heat conductivity and the heat diffusion coefficient to obtain an upstream probe actual distance and a downstream probe actual distance; compared with an interval correction method based on a single probe benchmark in the prior art which is unstable in different deflection scenes, solution of the actual interval of the probes is not affected by the deflection scenes, stability of correction is guaranteed, and accuracy is high.