A millimeter wave ranging optimization method and system

Abstract

The present invention provides a millimeter wave ranging optimization method and system, which relates to the field of non-contact sensing technology. An image acquisition device is used to acquire spatial image information of a measurement direction to obtain an image acquisition result. A millimeter wave transmitting device is used to transmit a fuzzy test signal to obtain a feedback test signal. Data analysis is performed to generate a transmission wave control parameter, which is used to control the millimeter wave transmitting device to transmit millimeter waves and receive echo data. The echo optimization parameter matching is performed through the image acquisition result to optimize the echo data, and a distance measurement result is generated according to the optimization result. The present invention solves the technical problem that the existing ranging method generally requires staff to operate the ranging tool to read and record, so that the ranging result is easily affected by the operator and the measurement environment, resulting in low measurement accuracy and high difficulty, and realizes the use of a "non-contact" ranging method to measure distance, thereby improving the accuracy of measurement.

Description

Technical Field

[0001] The present invention relates to the field of contactless sensing technology, and in particular to a millimeter wave ranging optimization method and system. Background Art

[0002] The precise measurement of the distance and displacement of a specific target has a wide range of applications in actual industrial production, such as precise distance measurement and positioning of targets, motion trajectory monitoring, liquid level measurement, building safety monitoring, object flatness detection and deformation detection, etc. The traditional distance measurement method is generally for workers to operate distance measurement tools to read and record. The main advantage of this distance measurement method is low cost, but the disadvantage is that the distance measurement results are easily affected by the operator and the measurement environment.

[0003] Currently, many distance measurement applications require high-precision measurement results, but they also face huge challenges in the measurement environment, such as industrial pollution, high altitude, radiation and other dangerous areas. Traditional distance measurement methods can hardly meet the measurement needs in harsh environments, so it is of great practical significance to re-evaluate and upgrade the existing distance measurement methods. Summary of the invention

[0004] The embodiments of the present application provide a millimeter wave ranging optimization method and system, which are used to solve the technical problem that the existing ranging method generally requires staff to operate the ranging tool to read and record, so that the ranging results are easily affected by the operator and the measurement environment, resulting in low measurement accuracy and high difficulty.

[0005] In view of the above problems, the embodiments of the present application provide a millimeter wave ranging optimization method and system.

[0006] In a first aspect, an embodiment of the present application provides a millimeter wave ranging optimization method, the method comprising: acquiring spatial image information of a measurement direction through the image acquisition device to obtain an image acquisition result; transmitting a fuzzy test signal through the millimeter wave transmitting device to obtain a feedback test signal; performing data analysis on the image acquisition result and the feedback test signal, and generating a transmission wave control parameter according to the data analysis result; controlling the millimeter wave transmitting device to transmit millimeter waves through the transmission wave control parameter, and receiving echo data; performing echo optimization parameter matching through the image acquisition result to obtain an echo optimization parameter matching result; performing data optimization of the echo data through the echo optimization parameter matching result, and generating a distance measurement result according to the optimization result.

[0007] In a second aspect, an embodiment of the present application provides a millimeter wave ranging optimization system, the system comprising: an image information acquisition module, the image information acquisition module is used to acquire spatial image information of a measurement direction through the image acquisition device to obtain an image acquisition result; a fuzzy test signal transmission module, the fuzzy test signal transmission module is used to transmit a fuzzy test signal through the millimeter wave transmitting device to obtain a feedback test signal; a data analysis module, the data analysis module is used to perform data analysis on the image acquisition result and the feedback test signal, and generate a transmission wave control parameter according to the data analysis result; a millimeter wave transmitting device control module, the millimeter wave transmitting device control module is used to control the millimeter wave transmitting device to perform millimeter wave transmission through the transmission wave control parameter, and receive echo data; an echo optimization parameter matching module, the echo optimization parameter matching module is used to perform echo optimization parameter matching through the image acquisition result to obtain an echo optimization parameter matching result; an echo data optimization module, the echo data optimization module is used to perform data optimization of the echo data through the echo optimization parameter matching result, and generate a distance measurement result according to the optimization result.

[0008] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0009] The present application provides a millimeter wave ranging optimization method, which relates to the field of non-contact sensing technology. An image acquisition device is used to acquire spatial image information of a measurement direction, and an image acquisition result is obtained. A millimeter wave transmitting device is used to transmit a fuzzy test signal to obtain a feedback test signal. The image acquisition result and the feedback test signal are analyzed to generate a transmission wave control parameter. The millimeter wave transmitting device is controlled by the transmission wave control parameter to transmit millimeter waves and receive echo data. The echo optimization parameter matching is performed by the image acquisition result to obtain the echo optimization parameter matching result, so as to optimize the echo data data, and generate a distance measurement result according to the optimization result. The present application acquires spatial image information of the measurement direction during the "non-contact" ranging process, and transmits a fuzzy test signal, and acquires the transmission wave control parameter according to the environment and the approximate distance to control the bandwidth of the transmission signal, thereby improving the accuracy of the distance measurement. The existing ranging method generally solves the problem that the staff operates the ranging tool to read and record, so that the ranging result is easily affected by the operator and the measurement environment, resulting in low measurement accuracy and high difficulty. The "non-contact" ranging method is used to measure the distance, thereby improving the accuracy of the measurement.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of a millimeter wave ranging optimization method flow is provided for an embodiment of the present application;

[0012] Figure 2 A schematic diagram of a process for obtaining distance measurement results in a millimeter wave ranging optimization method is provided for an embodiment of the present application;

[0013] Figure 3 A schematic diagram of a process for obtaining transmission wave control parameters in a millimeter wave ranging optimization method is provided for an embodiment of the present application;

[0014] Figure 4 A schematic diagram of the structure of a millimeter wave ranging optimization system is provided for an embodiment of the present application.

[0015] Explanation of the accompanying drawings: image information acquisition module 1, fuzzy test signal transmission module 2, data analysis module 3, millimeter wave transmission device control module 4, echo optimization parameter matching module 5, echo data optimization module 6. DETAILED DESCRIPTION

[0016] The embodiment of the present application provides a millimeter wave ranging optimization method to solve the technical problem that the existing ranging method generally requires staff to operate the ranging tool to read and record, so that the ranging result is easily affected by the operator and the measurement environment, resulting in low measurement accuracy and high difficulty.

[0017] Embodiment 1

[0018] like Figure 1 As shown, the embodiment of the present application provides a millimeter wave ranging optimization method, which is applied to an intelligent control system, and the intelligent control system is communicatively connected with a millimeter wave transmitting device and an image acquisition device, and the method includes:

[0019] Step S100: collecting spatial image information in a measurement direction through an image collection device to obtain an image collection result;

[0020] Specifically, a millimeter wave ranging optimization method provided in an embodiment of the present application is applied to an intelligent control system, which is communicatively connected with a millimeter wave transmitting device and an image acquisition device. The millimeter wave transmitting device is used to transmit and receive millimeter waves, and the image acquisition device is used to collect spatial image information in the measurement direction.

[0021] The image acquisition device is a device for collecting spatial image information in the measurement direction. It is generally a high-precision mapping camera. The image acquisition device is used to take pictures of the predetermined measurement range in the measurement direction space. The collected images are shared in real time through the image acquisition device, and the obtained images are analyzed, processed and marked in real time to obtain the image information in the space, including whether there are obstacles in the area, the weather, the clarity of the photo, etc. The image information acquisition can effectively solve the exploration problem of the area to be measured before work, and lay the foundation for the subsequent control of the launch device to launch millimeter waves.

[0022] Step S200: transmitting a fuzzy test signal through a millimeter wave transmitting device to obtain a feedback test signal;

[0023] Specifically, the millimeter wave transmitting device is a device for transmitting and receiving millimeter waves, which is generally composed of an oscillator, a modulator, an antenna, a transceiver switch and a receiver. The oscillator is modulated to output a signal in the radio frequency band. The transceiver switch uses a circulator, so that the transmission and reception can share the antenna and ensure the continuous wave working mode of the transmitting device. The echo generated by the transmitted signal after being reflected by the target enters a mixer after the antenna and circulator to perform self-beat mixing with the transmitted signal to obtain a low-frequency intermediate frequency signal. The frequency information in the echo intermediate frequency signal has the distance information of the target, and then the relevant information of the target can be obtained after being processed by the signal processor. The millimeter wave transmitting device is controlled to randomly transmit a millimeter wave as a fuzzy test signal. Since the transmitted millimeter wave is randomly transmitted, there is a problem of large measurement error caused by inaccurate signal frequency and bandwidth. The frequency information in the obtained echo intermediate frequency signal is used as the feedback test signal. By obtaining the feedback test signal, the approximate distance between the measurement point and the measured object can be calculated, which solves the problem of estimating the distance before measurement and lays the foundation for the selection of subsequent millimeter wave transmitting device combinations.

[0024] Step S300: performing data analysis on the image acquisition results and the feedback test signal, and generating transmission wave control parameters according to the data analysis results;

[0025] Specifically, the measurement distance information of the millimeter wave transmitting device is obtained according to the device identification. For example, the millimeter wave transmitting device has several device combinations, one is responsible for close distance such as measuring 0-500 meters, one is responsible for medium distance such as measuring 500-1000 meters, and one is responsible for long distance such as measuring 1000-2000 meters. The feedback test signal obtained by the fuzzy test signal randomly emitted by the millimeter wave transmitting device is calculated to obtain the approximate distance between the measuring point and the measured object, and the approximate distance is matched with the measurement distance of the three device combinations of the transmitting device. For example, if the measured approximate distance is 800 meters, it is matched to the device responsible for the medium distance.

[0026] The image acquisition results are processed, analyzed and understood by computers to identify different weather conditions and clarity in the image. For example, in foggy or rainy weather, moisture and impurities in the air will affect the millimeter wave spectrum, and atmospheric gases such as oxygen and water vapor will also cause additional attenuation of the spectrum. Then, the images are compared with previous images to match the most similar weather conditions and image clarity to obtain their millimeter wave spectrum. Combined with the influence of distance and environmental factors on distance measurement, the transmission wave control parameters for this measurement are obtained.

[0027] The problem of analyzing distance information and image information is solved, and targeted frequency spectra are set for different measurement environments and distances, thereby improving the measurement accuracy.

[0028] Step S400: controlling the millimeter wave transmitting device to transmit millimeter waves through the transmitting wave control parameters, and receiving echo data;

[0029] Specifically, when the millimeter wave transmitting device is working, the microprocessor controls the DAC (digital-to-analog converter) to generate a modulated signal of a certain amplitude and frequency according to the transmission wave control parameters. The modulated signal is transmitted by the array antenna, reflected after encountering the target object and received by the array antenna, which is the echo. The transmitted and received modulated signals are mixed by the antenna and circulator to obtain a difference frequency signal carrying the distance information of the target object. Under the control of the microprocessor, the difference frequency signal undergoes preliminary signal conditioning such as controllable gain amplification and signal filtering. Then the microprocessor samples the signal through the ADC (analog-to-digital converter), and the obtained data information is stored in the set memory space. The external processor can output the original data carrying the distance information from the storage area through the bus and the communication protocol between the interface circuits. The effect of transmitting a control signal that meets the current measurement requirements based on the targeted spectrum is achieved, thereby improving the measurement accuracy.

[0030] Step S500: performing echo optimization parameter matching based on the image acquisition result to obtain the echo optimization parameter matching result;

[0031] Specifically, we analyze historical detection data based on big data and build a database that stores waveform data under various weather conditions. Based on the characteristics of the impact of each weather on the waveform, we build a weather / waveform impact feature set. By matching each weather with the image, we can get the corresponding relationship between the image and the waveform. Based on this corresponding relationship, we perform waveform compensation for the echo and obtain the echo optimization parameter matching result. Through the analysis of historical data, we can recognize the corresponding relationship between the image and the waveform, and improve the efficiency of distance detection.

[0032] Step S600: performing data optimization of echo data through echo optimization parameter matching results, and generating distance measurement results according to the optimization results.

[0033] Specifically, the echo data is evaluated for data quality, a quality evaluation result is obtained, a preset quality threshold is set, and when the quality evaluation result of the echo data meets the preset quality threshold, it is a qualified echo, thereby generating a distance measurement result. When the quality evaluation result of the echo data does not meet the preset quality threshold, the transmission frequency of the transmitting device is adjusted, a repeated measurement instruction is generated, and the signal transmission and signal collection of the millimeter wave transmitting device are controlled according to the repeated measurement instruction to obtain the signal collection result, and the distance measurement result is generated according to the signal collection result. The influence of other existing factors on the millimeter wave is solved, and multiple echo data are obtained by adjusting the millimeter wave transmission frequency, thereby obtaining more accurate measurement results.

[0034] Furthermore, if Figure 2 As shown, this application also includes:

[0035] Step S710: Obtaining basic target information of the measurement target;

[0036] Step S720: performing contact feature extraction according to the target basic information to obtain a contact feature extraction result;

[0037] Step S730: generating distance measurement associated parameters according to the contact feature extraction result;

[0038] Step S740: Generate a distance measurement result by associating the distance measurement parameters and the optimization result.

[0039] Specifically, image recognition is performed on the measurement target, that is, recognition is performed based on the main features of the measurement target. A computer is used to analyze and transform the image, and each pixel is checked to determine whether the pixel represents a feature. It is generally smoothed in the scale space through a Gaussian blur kernel. Thereafter, one or more features of the image are calculated through local derivative operations, and the contact characteristic information in the measurement target is extracted as the contact feature extraction result, thereby determining the measurement target and avoiding interference with distance measurement such as echoes from trees and other buildings.

[0040] After determining the measurement target, the distance measurement associated parameters are generated according to the echo of the measurement target. For example, the measurement target is a cylindrical building. Three points are taken from the contact feature extraction results of the measurement target, and the echo signals reflected by each part are obtained. The coordinates of the three points in the cylindrical building are calculated according to the obtained echo signals. The coordinates of the center of the cylinder are obtained by determining the center of the circle according to the three points. The distance from the center of the cylindrical building to the measurement point can be calculated, which is the distance from the measurement target to the measurement point. By determining the measurement target echo, the interference of obstacles on the measurement is avoided, and the efficiency of the measurement is improved.

[0041] Furthermore, if Figure 3 As shown, step S300 of the present application also includes:

[0042] Step S310: Obtain basic device information of the millimeter wave transmitting device;

[0043] Step S320: performing detection distance interval classification according to the basic information of the device to obtain a distance interval classification result;

[0044] Step S330: Perform a detection distance fuzzy evaluation according to the feedback test signal to obtain a detection distance fuzzy evaluation result;

[0045] Step S340: Matching the distance interval classification result by detecting the distance fuzzy evaluation result to obtain the distance interval classification matching result;

[0046] Step S350: Obtain transmission wave control parameters through distance interval hierarchical matching results.

[0047] Specifically, the detection distance information of the millimeter wave transmitting device is obtained according to the device identification. For example, the millimeter wave transmitting device has three device combinations, one for close distance, such as 0-500 meters, one for medium distance, such as 500-1000 meters, and one for long distance, such as 1000-2000 meters. The intervals are graded according to the three set detection distances, such as level one for close distance, level two for medium distance, and level three for long distance. The feedback test signal obtained by the fuzzy test signal randomly emitted by the millimeter wave transmitting device is calculated to obtain the approximate distance between the measurement point and the measured object, which is compared with the measurement distance grading results of the three device combinations. Based on the comparison results, the obtained approximate distance is matched with the grading results. For example, if the measured approximate distance is 800 meters, it is matched to the device responsible for the medium distance, and the matching result is used as the transmission wave control parameter. The problem of analyzing the distance information is solved, and the effect of setting targeted spectrum for different measurement distances is achieved, thereby improving the measurement accuracy.

[0048] Furthermore, step S300 of the present application also includes:

[0049] Step S360: performing image feature recognition on the image acquisition result to obtain an image feature recognition result;

[0050] Step S370: Performing environmental impact assessment according to the image feature recognition result to obtain an environmental impact assessment coefficient;

[0051] Step S380: Obtain the transmission wave control parameters through the environmental impact assessment coefficient and the distance interval classification matching result.

[0052] Specifically, the image acquisition results are processed, analyzed and understood by a computer, and the image feature recognition results are obtained using the same technology as the previous steps, which will not be repeated here. The relationship between the impact of the environment on the measurement is obtained based on the historical measurement results. For example, in foggy or rainy weather, the moisture and impurities in the air will affect the millimeter wave spectrum. At the same time, atmospheric gases such as oxygen and water vapor will also cause additional attenuation of the spectrum. The image feature recognition results are compared and analyzed with historical images to obtain an environmental impact assessment, and a coordinate system is established with the weather conditions as the horizontal coordinate and the millimeter wave spectrum as the vertical coordinate. For example, for foggy days, the fog concentration is the horizontal coordinate. The thicker the fog, the greater the attenuation of the millimeter wave spectrum in the vertical coordinate. The slope in the coordinate is the environmental impact assessment coefficient.

[0053] Combined with the influence of distance and environmental factors on millimeter wave spectrum attenuation, for example, when measuring the third-level distance on a foggy day, the equipment responsible for the long distance is matched according to the third-level distance, and the millimeter wave spectrum attenuation data is obtained by multiplying the fog concentration by the environmental impact assessment coefficient. In this way, the base frequency and bandwidth of the transmitted signal are increased accordingly, and the transmission wave control parameters for this measurement can be obtained. The problem of analyzing environmental information is solved, and the targeted spectrum is set for different environments and measurement distances, thereby improving the measurement accuracy.

[0054] Furthermore, step S380 of the present application also includes:

[0055] Step S381: Obtaining impact distance data according to the detection distance fuzzy evaluation result;

[0056] Step S382: generating a correlation coefficient of an environmental impact assessment coefficient according to the impact distance data;

[0057] Step S383: Correcting the environmental impact assessment coefficient by using the correlation coefficient to obtain a corrected environmental impact assessment coefficient;

[0058] Step S384: Obtain the transmission wave control parameters by correcting the environmental impact assessment coefficient and the distance interval classification matching result.

[0059] Specifically, the impact distance data is obtained according to the obtained detection distance fuzzy evaluation result, that is, the emitted millimeter wave passes through two measurement distances after being emitted and reflected by the measurement target. The environmental impact evaluation coefficient is set as X, and the detection distance fuzzy evaluation result is set as Y. The correlation coefficient of the environmental impact evaluation coefficient is represented by r, which is used to measure the linear relationship between the two variables. The following definition exists:

[0060]

[0061] Among them, Cov(X,Y) is the covariance of X and Y, Var[X] is the variance of X, and Var[Y] is the variance of Y. The correlation relationship is a non-deterministic relationship. The correlation coefficient is the amount of the linear correlation between the research variables, that is, the linear correlation between the environmental impact assessment coefficient and the fuzzy evaluation result of the detection distance. The environmental impact assessment coefficient is corrected according to the linear correlation between the environmental impact assessment coefficient and the fuzzy evaluation result of the detection distance. For example, for the same foggy weather, the detection distance is large and the millimeter wave has to travel twice the distance, then the environment has a greater impact on the detection, and the detection distance is small. The environmental impact assessment coefficient is obtained in this way, and the transmission wave control parameters are obtained by correcting the environmental impact assessment coefficient and the distance interval classification matching results. The control of the further impact of the environment on the distance detection when the detection distance is large is solved, and the measurement error is highly reduced.

[0062] Furthermore, step S600 of the present application also includes:

[0063] Step S610: performing data quality evaluation on the echo data to obtain a quality evaluation result;

[0064] Step S620: Determine whether the quality evaluation result meets a preset quality threshold;

[0065] Step S630: When the quality evaluation result does not meet the preset quality threshold, a repeat measurement instruction is generated;

[0066] Step S640: controlling the signal transmission and signal collection of the millimeter wave transmitting device according to the repeated measurement instruction to obtain a signal collection result;

[0067] Step S650: Generate a distance measurement result according to the signal acquisition result.

[0068] Specifically, the echo is generated because after the signal is reflected by the measurement target, the measured target absorbs part of the energy, generating the original signal with attenuation delay, which is superimposed on the original signal. Due to the environment, distance and other force majeure, the echo will be affected. The received echo is detected, such as judging whether its waveform is complete, and a preset quality threshold is set to judge the echo quality. When the waveform of the echo meets the preset quality threshold, it is a qualified echo, which can be directly used to calculate the distance measurement result. When the waveform of the echo does not meet the preset quality threshold, it is an unqualified echo, which needs to be discarded and re-measured. The transmission frequency is adjusted according to the transmission wave control parameter, and multiple different signals are transmitted. The same steps are used to obtain multiple different signal acquisition results, and the obtained signal acquisition results are compared, analyzed, and judged to generate distance measurement results. The influence of other existing factors on millimeter waves is solved, and multiple echo data are obtained by adjusting the millimeter wave transmission power, thereby obtaining more accurate measurement results.

[0069] Furthermore, step S640 of the present application also includes:

[0070] Step S641: Obtaining associated control power according to the transmission wave control parameter;

[0071] Step S642: generating multi-level transmission wave control parameters based on the transmission wave control parameters and the associated control powers;

[0072] Step S643: Control the signal transmission and signal collection of the millimeter wave transmitting device through multi-level transmission wave control parameters according to the repeated measurement instruction.

[0073] Specifically, historical data is collected, and the millimeter wave transmission power is adjusted according to the transmission power under the same quality state in the historical data. After improving the power control, the quality qualified experience is obtained, so as to obtain multiple associated control powers, and the transmission wave control parameters and the obtained multiple associated control powers are combined to obtain multi-level transmission wave control parameters. For example, a power increase data is set, and each time the power is increased or decreased by one level, the corresponding transmission wave control parameters are obtained, so as to obtain multi-level transmission wave control parameters, and according to repeated instructions, the millimeter wave transmitting device is controlled with multi-level transmission wave control parameters, and the power of the millimeter wave transmitting device is adjusted multiple times, and signals are transmitted and echoes are collected respectively according to multiple transmission powers. The influence of other existing factors on the waveform of the millimeter wave is solved, and multiple echo data are obtained by adjusting the millimeter wave transmission power at multiple levels, thereby obtaining more accurate measurement results.

[0074] Embodiment 2

[0075] Based on the same inventive concept as the millimeter wave ranging optimization method in the aforementioned embodiment, Figure 4 As shown, the present application provides a millimeter wave ranging optimization system, the system comprising:

[0076] An image information acquisition module 1 is used to acquire spatial image information of a measurement direction through an image acquisition device to obtain an image acquisition result;

[0077] A fuzzy test signal transmitting module 2, the fuzzy test signal transmitting module 2 is used to transmit a fuzzy test signal through a millimeter wave transmitting device to obtain a feedback test signal;

[0078] Data analysis module 3, which is used to perform data analysis on the image acquisition results and the feedback test signals, and generate transmission wave control parameters according to the data analysis results;

[0079] The millimeter wave transmitting device control module 4 is used to control the millimeter wave transmitting device to transmit millimeter waves through the transmitting wave control parameters and receive echo data;

[0080] The echo optimization parameter matching module 5 is used to perform echo optimization parameter matching through the image acquisition result to obtain the echo optimization parameter matching result;

[0081] The echo data optimization module 6 is used to optimize the echo data through the echo optimization parameter matching result, and generate the distance measurement result according to the optimization result.

[0082] Furthermore, the system also includes:

[0083] A target basic information acquisition module, which is used to obtain the target basic information of the measurement target;

[0084] A contact feature extraction module is used to extract contact features according to target basic information to obtain contact feature extraction results;

[0085] A distance measurement associated parameter generation module, the distance measurement associated parameter generation module is used to generate distance measurement associated parameters according to the contact feature extraction result;

[0086] The first distance measurement result generating module is used to generate a distance measurement result through distance measurement association parameters and optimization results.

[0087] Furthermore, the system also includes:

[0088] A device basic information acquisition module, which is used to obtain the device basic information of the millimeter wave transmitting device;

[0089] A detection distance interval classification module, which is used to classify the detection distance interval according to the basic information of the device and obtain the distance interval classification result;

[0090] A detection distance fuzzy evaluation module, which is used to perform a detection distance fuzzy evaluation according to a feedback test signal to obtain a detection distance fuzzy evaluation result;

[0091] The distance interval classification result matching module is used to match the distance interval classification result by detecting the distance fuzzy evaluation result to obtain the distance interval classification matching result;

[0092] The first transmission wave control parameter module is used to obtain the transmission wave control parameter through the distance interval classification matching result.

[0093] Furthermore, the system also includes:

[0094] An image feature recognition module is used to perform image feature recognition on the image acquisition result to obtain an image feature recognition result;

[0095] An environmental impact assessment module, which is used to perform environmental impact assessment based on image feature recognition results and obtain an environmental impact assessment coefficient;

[0096] The second transmission wave control parameter acquisition module is used to obtain the transmission wave control parameters through the environmental impact assessment coefficient and the distance interval classification matching result.

[0097] Furthermore, the system also includes:

[0098] An influence distance data acquisition module, which is used to obtain influence distance data according to the fuzzy evaluation result of the detection distance;

[0099] An environmental impact assessment coefficient correlation coefficient acquisition module, the environmental impact assessment coefficient correlation coefficient acquisition module is used to generate the environmental impact assessment coefficient correlation coefficient according to the impact distance data;

[0100] An environmental impact assessment coefficient correction module, which is used to correct the environmental impact assessment coefficient through the correlation coefficient to obtain a corrected environmental impact assessment coefficient;

[0101] The third transmission wave control parameter acquisition module is used to obtain the transmission wave control parameters by correcting the environmental impact assessment coefficient and the distance interval classification matching result.

[0102] Furthermore, the system also includes:

[0103] A data quality evaluation module, which is used to evaluate the data quality of the echo data and obtain a quality evaluation result;

[0104] A quality evaluation result judgment module, which is used to judge whether the quality evaluation result meets a preset quality threshold;

[0105] A repeated measurement instruction generation module, which is used to generate a repeated measurement instruction when the quality evaluation result does not meet a preset quality threshold;

[0106] A signal acquisition result acquisition module, which is used to control the signal emission and signal acquisition of the millimeter wave transmitting device according to the repeated measurement instruction to obtain the signal acquisition result;

[0107] The second distance measurement result acquisition module is used to generate a distance measurement result according to the signal acquisition result.

[0108] Furthermore, the system also includes:

[0109] An associated control power acquisition module, the associated control power acquisition module is used to obtain the associated control power according to the transmission wave control parameter;

[0110] A multi-level transmission wave control parameter generation module, the multi-level transmission wave control parameter generation module is used to generate multi-level transmission wave control parameters based on the transmission wave control parameters and the associated control power;

[0111] The signal emission and acquisition control device is used to control the signal emission and signal acquisition of the millimeter wave transmitting device through multi-level transmission wave control parameters according to repeated measurement instructions.

[0112] Through the above detailed description of a millimeter wave ranging optimization method in this specification, those skilled in the art can clearly understand a millimeter wave ranging optimization method and system in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0113] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A millimeter wave ranging optimization method, characterized in that: The method is applied to an intelligent control system, the intelligent control system is communicatively connected with a millimeter wave transmitting device and an image acquisition device, and the method comprises: The image acquisition device is used to acquire spatial image information in the measurement direction to obtain an image acquisition result; Transmitting a fuzzy test signal through the millimeter wave transmitting device to obtain a feedback test signal; Performing data analysis on the image acquisition result and the feedback test signal, and generating a transmission wave control parameter according to the data analysis result; Controlling the millimeter wave transmitting device to transmit millimeter waves through the transmitting wave control parameters, and receiving echo data; Performing echo optimization parameter matching based on the image acquisition result to obtain an echo optimization parameter matching result; Performing data optimization of the echo data according to the echo optimization parameter matching result, and generating a distance measurement result according to the optimization result; The method further comprises: Obtaining basic device information of the millimeter wave transmitting device; Performing detection distance interval classification according to the basic information of the device to obtain a distance interval classification result; Performing a detection distance fuzzy evaluation according to the feedback test signal to obtain a detection distance fuzzy evaluation result; Matching the distance interval classification result through the detection distance fuzzy evaluation result to obtain a distance interval classification matching result; Performing image feature recognition on the image acquisition result to obtain an image feature recognition result; Performing environmental impact assessment based on the image feature recognition result to obtain an environmental impact assessment coefficient; Obtaining impact distance data according to the detection distance fuzzy evaluation result; generating a correlation coefficient of the environmental impact assessment coefficient according to the impact distance data; Correcting the environmental impact assessment coefficient by using the correlation coefficient to obtain a corrected environmental impact assessment coefficient; The transmission wave control parameter is obtained through the modified environmental impact assessment coefficient and the distance interval hierarchical matching result.

2. The method according to claim 1, characterized in that The method further comprises: Obtain the basic information of the measurement target; Perform contact feature extraction according to the target basic information to obtain a contact feature extraction result; generating distance measurement associated parameters according to the contact feature extraction result; The distance measurement result is generated by using the distance measurement association parameter and the optimization result.

3. The method according to claim 1, characterized in that The method further comprises: Performing data quality evaluation on the echo data to obtain a quality evaluation result; Determining whether the quality evaluation result meets a preset quality threshold; When the quality evaluation result does not meet the preset quality threshold, a repeat measurement instruction is generated; Controlling the signal transmission and signal collection of the millimeter wave transmitting device according to the repeated measurement instruction to obtain a signal collection result; The distance measurement result is generated according to the signal acquisition result.

4. The method according to claim 3, characterized in that The method further comprises: Obtaining associated control power according to the transmission wave control parameter; generating a multi-level transmission wave control parameter based on the transmission wave control parameter and the associated control power; According to the repeated measurement instruction, the signal emission and signal collection of the millimeter wave transmitting device are controlled through the multi-level transmission wave control parameters.

5. A millimeter wave ranging optimization system, characterized in that: The system is connected in communication with a millimeter wave transmitting device and an image acquisition device, and the system includes: An image information acquisition module, wherein the image information acquisition module is used to acquire spatial image information of a measurement direction through the image acquisition device to obtain an image acquisition result; A fuzzy test signal transmitting module, the fuzzy test signal transmitting module is used to transmit a fuzzy test signal through the millimeter wave transmitting device to obtain a feedback test signal; A data analysis module, the data analysis module is used to perform data analysis on the image acquisition result and the feedback test signal, and generate a transmission wave control parameter according to the data analysis result; A millimeter wave transmitting device control module, the millimeter wave transmitting device control module is used to control the millimeter wave transmitting device to transmit millimeter waves through the transmitting wave control parameters, and receive echo data; An echo optimization parameter matching module, wherein the echo optimization parameter matching module is used to perform echo optimization parameter matching through the image acquisition result to obtain an echo optimization parameter matching result; An echo data optimization module, the echo data optimization module is used to optimize the echo data according to the echo optimization parameter matching result, and generate a distance measurement result according to the optimization result; The system further comprises: A device basic information acquisition module, which is used to obtain the device basic information of the millimeter wave transmitting device; A detection distance interval classification module, which is used to classify the detection distance interval according to the basic information of the device and obtain the distance interval classification result; A detection distance fuzzy evaluation module, which is used to perform a detection distance fuzzy evaluation according to a feedback test signal to obtain a detection distance fuzzy evaluation result; The distance interval classification result matching module is used to match the distance interval classification result by detecting the distance fuzzy evaluation result to obtain the distance interval classification matching result; An image feature recognition module is used to perform image feature recognition on the image acquisition result to obtain an image feature recognition result; An environmental impact assessment module, which is used to perform environmental impact assessment based on image feature recognition results and obtain an environmental impact assessment coefficient; An influence distance data acquisition module, which is used to obtain influence distance data according to the fuzzy evaluation result of the detection distance; An environmental impact assessment coefficient correlation coefficient acquisition module, the environmental impact assessment coefficient correlation coefficient acquisition module is used to generate the environmental impact assessment coefficient correlation coefficient according to the impact distance data; An environmental impact assessment coefficient correction module, which is used to correct the environmental impact assessment coefficient through the correlation coefficient to obtain a corrected environmental impact assessment coefficient; The third transmission wave control parameter acquisition module is used to obtain the transmission wave control parameters by correcting the environmental impact assessment coefficient and the distance interval classification matching result.

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