A method and system for realizing intercom positioning by beacon mode

Abstract

The present invention relates to the field of wireless communication technology, and specifically to a method and system for realizing intercom positioning by means of beacons, comprising the following steps: based on radio signal data, by simulating the propagation behavior of radio signals in various scenarios, analyzing the reflection and scattering characteristics of signals in various media, and generating propagation characteristic analysis results. In the present invention, by simulating and analyzing the propagation behavior of signals in various scenarios, the understanding of radio signal characteristics is enhanced, the beacon deployment is optimized for actual geographical and environmental conditions, the signal coverage range and the cost efficiency of beacon deployment are optimized, the signals emitted by the intercom are collected in real time and the transmission parameters are adjusted, the signal clarity is optimized and the interference of background noise is reduced, the availability and security of the signal are improved, the accuracy and response speed of positioning are improved by calculating the signal arrival time difference in real time and combining multi-device collaborative positioning, and a reliable and accurate service experience is provided to users.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to a method and a system for realizing intercom positioning by means of beacons. Background Art

[0002] The field of wireless communication technology focuses on transmitting information wirelessly, including cellular networks, satellite communications, wireless local area networks, Bluetooth technology, and near-field communications. In modern communication systems, wireless technology allows data to be transmitted between devices without physical connections, enhancing mobility and flexibility. It is applied to mobile phone services, wireless Internet access, remote monitoring, smart home systems, and emergency response communication systems. By improving the speed, reliability, and security of wireless communications, it promotes global information dissemination and promotes the development of a variety of innovative applications such as smart homes, smart cities, and remote monitoring.

[0003] Among them, the method of realizing walkie-talkie positioning by beacon method focuses on using beacon equipment to accurately locate walkie-talkies in the field of wireless communication technology. By deploying beacons that emit specific signals at predetermined locations, the walkie-talkie determines its own position by receiving signals and processing signal properties, including signal strength and signal propagation time. It is used to provide accurate and reliable positioning services in indoor and complex environments with poor GPS signal coverage, and is applied to security monitoring, emergency response, logistics management and many other aspects to improve the success rate and safety of task execution.

[0004] Traditional walkie-talkie positioning technology faces problems of insufficient signal coverage and low positioning accuracy in high-density building areas or complex indoor environments. In indoor environments, it is often difficult to provide accurate positioning information due to signal attenuation and multipath interference, which leads to delayed response time in emergency response or security monitoring scenarios and increases security risks. In large buildings, the reflection and scattering of wireless LAN signals lead to positioning errors, misleading rescue forces in emergencies and delaying rescue opportunities. It lacks sufficient flexibility and adaptability in handling signal interference and optimizing transmission power, which limits its application effect in dynamic and changing environments and affects the overall performance and user experience of the wireless communication system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a method and system for realizing intercom positioning by means of beacons.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, a method for realizing intercom positioning by beacon mode, comprising the following steps:

[0007] S1: Based on radio signal data, by simulating the propagation behavior of radio signals in various scenarios, analyzing the reflection and scattering characteristics of signals in various media, and generating propagation characteristic analysis results;

[0008] S2: using the propagation characteristic analysis result, considering the coverage, economy and efficiency of beacon deployment, calculating the deployment locations of multiple beacons and recording geographic positioning information, and generating beacon deployment location information;

[0009] S3: According to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity and generate a transmission parameter adjustment result;

[0010] S4: Based on the transmission parameter adjustment result, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality index of the signal are evaluated, and errors caused by reflections and obstacles are corrected to generate signal quality verification information;

[0011] S5: Based on the signal quality verification information, calculate the arrival time difference of the signals from multiple beacons to the walkie-talkie in real time, and use the time difference data to perform positioning calculation to generate positioning position range information;

[0012] S6: Based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the walkie-talkie and generate walkie-talkie positioning information.

[0013] As a further solution of the present invention, the propagation characteristics analysis results include signal propagation path simulation data, signal attenuation information in various media, reflection and scattering point information; the beacon deployment location information includes the geographic coordinates of the beacon, the expected coverage area, and the distance parameters between beacons; the transmission parameter adjustment results include the adjusted transmission power level, signal frequency range, and background noise filter setting parameters; the signal quality verification information includes the corrected signal-to-noise ratio, signal integrity level, and signal reception consistency score; the location range information includes the calculated predicted location coordinates of the walkie-talkie, location error estimation data, and time difference of the positioning signal; the walkie-talkie positioning information includes calibrated positioning coordinate information, positioning accuracy evaluation information, and multi-device synergy effect analysis results.

[0014] As a further solution of the present invention, based on radio signal data, by simulating the propagation behavior of radio signals in various scenarios, analyzing the reflection and scattering characteristics of signals in various media, the steps of generating propagation characteristic analysis results are specifically as follows:

[0015] S101: Based on the radio signal data, simulate and analyze the propagation data of the radio signal in various urban landscapes and building structures, identify the reflection data of the signal on various media, and generate signal reflection data;

[0016] S102: Based on the signal reflection data, calculate the scattering intensity of the signal at various angles and distances, calculate the propagation path loss of the signal, evaluate the attenuation of the signal during propagation, and generate signal attenuation behavior data;

[0017] S103: Based on the signal attenuation behavior data, the propagation characteristics of the radio signal in various media are evaluated, including the location of the scattering point and the reflection intensity of the signal at various angles, to form a propagation characteristic analysis result.

[0018] As a further solution of the present invention, the steps of calculating the deployment locations of multiple beacons and recording the geographic positioning information by using the propagation characteristic analysis results and considering the coverage, economy and efficiency of beacon deployment are as follows:

[0019] S201: using the propagation characteristic analysis result, according to the regional location information of the beacon to be deployed, evaluating the coverage required for the beacon deployment, and generating coverage evaluation data;

[0020] S202: Based on the coverage evaluation data, considering overlap and spatial redundancy of signal coverage, calculating deployment positions of multiple beacons, optimizing spatial distribution of beacons, and generating position calculation data;

[0021] S203: Based on the position calculation data and the geographic coordinate information of the beacon, a three-dimensional spatial distribution model of the beacon network is reconstructed to generate beacon deployment position information.

[0022] As a further solution of the present invention, according to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity. The steps of generating the transmission parameter adjustment result are specifically as follows:

[0023] S301: According to the beacon deployment location information, collect signal data sent by the walkie-talkie, record the signal strength and frequency information, and generate a signal data collection record;

[0024] S302: Based on the signal data acquisition record, identify and separate background noise, optimize the impact of non-target frequency components on signal clarity, and generate a signal cleaning result;

[0025] S303: According to the signal cleaning result, the transmission power and frequency of the beacon are adjusted to optimize the clarity of the signal and generate a transmission parameter adjustment result.

[0026] As a further solution of the present invention, based on the transmission parameter adjustment result, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality index of the signal are evaluated, and the errors caused by reflections and obstacles are corrected. The steps of generating signal quality verification information are specifically as follows:

[0027] S401: Based on the transmission parameter adjustment result, monitor the integrity and signal-to-noise ratio of the signal in real time, evaluate the integrity of the signal, and generate a signal integrity record;

[0028] S402: Analyze the signal integrity record, evaluate the quality indicators of the signal, including signal-to-noise ratio and bit error rate, identify the error source, and generate an error source analysis result;

[0029] S403: Based on the error source analysis result, adjust and correct the signal error caused by reflection and obstacles, optimize the accuracy of signal quality, and generate signal quality verification information.

[0030] As a further solution of the present invention, based on the signal quality verification information, the signal arrival time difference from multiple beacons to the walkie-talkie is calculated in real time, and the time difference data is used for positioning calculation, and the steps of generating the positioning position range information are specifically as follows:

[0031] S501: Based on the signal quality verification information, identify the reception time data of multiple beacons to the walkie-talkie, record the time point information of signal arrival, and generate a signal arrival time record;

[0032] S502: Based on the signal arrival time record, calculate the time difference from the signals of multiple beacons to the walkie-talkie, identify the signal propagation delay between the multiple beacons and the walkie-talkie, and generate signal time difference data;

[0033] S503: Using the signal time difference data, by comparing the time difference between the signals sent by multiple beacons and the time when they arrive at the walkie-talkie, the relative position of the walkie-talkie in the beacon network is estimated to generate position range information.

[0034] As a further solution of the present invention, based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the positioning walkie-talkie, and the steps of generating walkie-talkie positioning information are specifically as follows:

[0035] S601: Based on the location range information, collect positioning data of multiple walkie-talkie devices in the target area, synchronize signal receiving times of the multiple walkie-talkie devices, and generate multi-device signal synchronization data;

[0036] S602: Based on the multi-device signal synchronization data, by calculating the time difference of multiple walkie-talkies receiving the same beacon signal, the relative distance between the multiple walkie-talkie devices is calculated to generate an inter-device distance analysis result;

[0037] S603: Using the inter-device distance analysis result, according to the relative positions and distances of multiple walkie-talkie devices, the geographic coordinate position of the target walkie-talkie is calculated to generate walkie-talkie positioning information.

[0038] As a further solution of the present invention, the specific formula for calculating the geographic coordinate position of the target walkie-talkie is:

[0039] ;

[0040] in, and Represent the x and y coordinates of the i-th intercom device, respectively. The coordinates provide the specific location information of each device. is the estimated distance between the ith walkie-talkie device and the target walkie-talkie, measured based on signal strength or time delay, and The x and y coordinates represent the geographic coordinates of the target walkie-talkie, which are used to represent the horizontal and vertical coordinates of the target walkie-talkie on the map. i is an index from 1 to n, traversing all walkie-talkie devices involved in the position calculation. n is the total number of walkie-talkie devices involved in the calculation.

[0041] A system for implementing intercom positioning by means of beacons, the system for implementing intercom positioning by means of beacons is used to execute the above-mentioned method for implementing intercom positioning by means of beacons, and the system comprises:

[0042] The signal simulation module simulates the propagation behavior of radio signals in various scenarios based on radio signal data, analyzes the reflection and scattering characteristics of signals in different media, and generates signal propagation simulation data;

[0043] The deployment assessment module uses the signal propagation simulation data to calculate the geographical locations of multiple deployment locations according to signal coverage requirements and deployment costs, and generates beacon location assessment data;

[0044] The signal processing module collects the signal sent by the walkie-talkie in real time based on the beacon position evaluation data, identifies and filters the background noise, adjusts the beacon's transmission power and frequency to optimize the signal quality, and generates signal optimization parameters;

[0045] The data verification module uses the signal optimization parameters to monitor the integrity and signal-to-noise ratio of the signal in real time, evaluate the signal quality, analyze and correct the signal error, and generate integrity evaluation data;

[0046] The collaborative positioning module uses the integrity assessment data to calculate the time difference from multiple beacons to the walkie-talkie, and estimates the location range of the walkie-talkie based on the time difference data, combines multiple walkie-talkie devices for collaborative positioning, optimizes the positioning accuracy, and generates walkie-talkie positioning information.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by simulating and analyzing the propagation behavior of signals in various scenarios, the understanding of radio signal characteristics is enhanced, the beacon deployment is optimized according to the actual geographical and environmental conditions, the signal coverage and the cost efficiency of beacon deployment are optimized, the signals emitted by the walkie-talkies are collected in real time and the transmission parameters are adjusted, the signal clarity is optimized and the interference of background noise is reduced, the signal availability and security are improved, and the accuracy and response speed of positioning are improved by calculating the signal arrival time difference in real time and combining multi-device collaborative positioning, thereby providing users with a reliable and accurate service experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0056] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0059] See also Figure 1 The present invention provides a technical solution, a method for realizing intercom positioning by beacon mode, comprising the following steps:

[0060] S1: Based on radio signal data, by simulating the propagation behavior of radio signals in various scenarios, analyzing the reflection and scattering characteristics of signals in various media, and generating propagation characteristic analysis results;

[0061] S2: Using the propagation characteristics analysis results, considering the coverage, economy and efficiency of beacon deployment, calculate the deployment locations of multiple beacons and record the geolocation information to generate beacon deployment location information;

[0062] S3: According to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity and generate the transmission parameter adjustment result;

[0063] S4: Based on the transmission parameter adjustment results, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality indicators of the signal are evaluated, and the errors caused by reflections and obstacles are corrected to generate signal quality verification information;

[0064] S5: Based on the signal quality verification information, the arrival time difference of the signals from multiple beacons to the intercom is calculated in real time, and the time difference data is used for positioning calculation to generate the positioning position range information;

[0065] S6: Based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the walkie-talkie and generate walkie-talkie positioning information.

[0066] The propagation characteristics analysis results include signal propagation path simulation data, signal attenuation information in various media, reflection and scattering point information; beacon deployment location information includes the geographic coordinates of the beacon, expected coverage area, and distance parameters between beacons; transmission parameter adjustment results include the adjusted transmission power level, signal frequency range, and background noise filter setting parameters; signal quality verification information includes the corrected signal-to-noise ratio, signal integrity level, and signal reception consistency score; location range information includes the calculated predicted location coordinates of the walkie-talkie, location error estimation data, and time difference of the positioning signal; walkie-talkie positioning information includes the calibrated positioning coordinate information, positioning accuracy evaluation information, and multi-device synergy effect analysis results.

[0067] See also Figure 2 Based on the radio signal data, by simulating the propagation behavior of radio signals in various scenarios and analyzing the reflection and scattering characteristics of signals in various media, the steps to generate the propagation characteristic analysis results are as follows:

[0068] S101: Based on the radio signal data, simulate and analyze the propagation data of the radio signal in various urban landscapes and building structures, identify the reflection data of the signal on various media, and generate signal reflection data;

[0069] In the process of simulating radio signal propagation, geographic and physical data of urban landscapes and building structures are collected, including the height, material, area of ​​buildings, and topographical features of the city. The data are integrated through a geographic information system, and the ray tracing method is used to simulate the propagation path of radio signals in complex environments. By simulating the interaction between radio waves and various media, including reflection, refraction, and scattering, the propagation effect of the signal is predicted. The calculation of each signal path involves Fresnel's equations and Snell's law, which predict the behavior of the signal at the interface of different media and generate detailed reflection data for each signal path. The data is used to analyze the signal coverage area and potential signal blind spots, providing a basis for subsequent steps.

[0070] S102: Based on the signal reflection data, calculate the scattering intensity of the signal at various angles and distances, calculate the propagation path loss of the signal, evaluate the attenuation of the signal during propagation, and generate signal attenuation behavior data;

[0071] When processing signal reflection data, an enhanced angle scattering algorithm is used to calculate the scattering intensity of the signal at different angles and distances. Based on the signal reflection data obtained in the previous simulation, the spatial coordinates and signal characteristics of each signal reflection point are input to calculate the angle data including the incident angle and the reflection angle. The intensity of each scattering point is determined by its corresponding reflection intensity and the initial intensity of the signal. The attenuation model used is adjusted according to the signal propagation distance and medium characteristics, including the use of a free space path loss model to estimate the signal attenuation in open areas. A cave model is used for the interior of buildings to take into account the influence of walls and obstacles, reflect the signal propagation path loss, and generate signal attenuation behavior data, which supports the evaluation of radio signal propagation characteristics and the formulation of optimization strategies.

[0072] S103: Based on the signal attenuation behavior data, the propagation characteristics of the radio signal in various media are evaluated, including the location of the scattering point and the reflection intensity of the signal at various angles, to form a propagation characteristic analysis result;

[0073] Evaluating the propagation characteristics of radio signals involves a variety of data analysis and calculation processes. Based on the obtained signal attenuation behavior data, a quantitative analysis method, multivariate regression analysis, is used to determine the relationship model between the position of the scattering point and the signal reflection intensity at each angle. Data processing is performed using statistical software, and the data of each scattering point is input into the model for analysis. The medium, distance, and environmental variables of signal propagation are considered, and the propagation efficiency of the signal in different media is calculated, including the comparison of actual measurements with theoretical calculations to determine the main factors of signal attenuation, including the electromagnetic properties of the medium and the interference level of the environment, to form the propagation characteristics analysis results. The results provide a scientific basis for designing more effective signal propagation strategies and improving the coverage quality of wireless communication networks.

[0074] See also Figure 3 , using the results of propagation characteristic analysis, considering the coverage, economy and efficiency of beacon deployment, calculating the deployment locations of multiple beacons and recording the geolocation information, the steps for generating beacon deployment location information are as follows:

[0075] S201: using the propagation characteristic analysis result, according to the regional location information of the beacon to be deployed, evaluating the coverage required for the beacon deployment, and generating coverage evaluation data;

[0076] When evaluating the coverage of beacons, a spatial analysis method based on a geographic information system is used to process the results of the propagation characteristics analysis, map and evaluate the signal coverage requirements of different areas, input regional location information and related radio signal propagation characteristics data, and use spatial interpolation technology to estimate the signal strength at points that are not directly measured. Points include the edge of the city and the shadow area of ​​​​buildings. Based on the interpolation results, spatial analysis tools are applied to determine the continuity and uniformity of signal coverage to ensure that the signal strength in each area meets the minimum operating standards. A terrain impact analysis is conducted to take into account the impact of terrain undulations on signal propagation, adjust the coverage of beacons, generate coverage assessment data, and provide a scientific basis for the deployment of beacons.

[0077] S202: Based on the coverage assessment data, considering the overlap and spatial redundancy of signal coverage, calculating the deployment positions of multiple beacons, optimizing the spatial distribution of the beacons, and generating position calculation data;

[0078] In the above content, based on the coverage evaluation data, the Euclidean distance formula is used Calculate the distance between two beacons, evaluate the overlap of signal coverage and optimize the spatial distribution of beacons;

[0079] In the formula, Represents the distance between two beacons, , represents the coordinates of beacon i, , represents the coordinates of beacon j;

[0080] Detailed explanation of the formula and the process of formula calculation and derivation:

[0081] Assume that the coordinates of beacon i are (500, 1000) meters and the coordinates of beacon j are (2000, 3000) meters. Calculate :

[0082] ;

[0083] The result 2500 meters indicates the distance between the two beacons. The formula optimizes the spatial distribution of beacons by calculating the distance between beacons, reduces the overlap of signal coverage, ensures the uniformity of signal coverage and minimizes redundancy.

[0084] S203: Based on the location calculation data and the geographic coordinate information of the beacon, a three-dimensional spatial distribution model of the beacon network is reconstructed to generate beacon deployment location information;

[0085] When reconstructing the three-dimensional spatial distribution model of the beacon network, three-dimensional modeling software and computer-aided design technology were used. Based on the position calculation data, the geographic coordinate information of each beacon was input into the three-dimensional model. Taking into account the influence of terrain, buildings and various environmental factors, the beacon positions in the model were accurately arranged in three-dimensional space, and three-dimensional visualization processing was performed to ensure the accuracy and visual effect of the model. It only helps engineers and designers understand the spatial relationship of beacon deployment and make subsequent beacon network adjustments and optimizations. After completing the three-dimensional model, the signal coverage effect of the beacon network was simulated to verify the actual performance of the signal coverage and the expected consistency. The generated beacon deployment location information records the location and function of each beacon.

[0086] See also Figure 4 According to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity. The specific steps for generating the transmission parameter adjustment result are as follows:

[0087] S301: According to the beacon deployment location information, collect signal data sent by the walkie-talkie, record the signal strength and frequency information, and generate a signal data collection record;

[0088] When collecting signal data, based on the location information of beacon deployment, the walkie-talkie is set to send directional signals around each beacon. The signal strength and frequency received by each beacon are recorded through field test equipment such as spectrum analyzers, and various parameters of the signal transmitted from the walkie-talkie are accurately measured. The frequency and strength data of the signal are recorded in real time and stored in the database to verify the accuracy of data collection. The signal reception strength automatically adjusts the entry parameters according to the geographic location, time and environmental factors to ensure the reliability and representativeness of the data. The signal is time synchronized to ensure that the timestamp of the recorded data is consistent with the sent data, providing basic data for subsequent signal analysis and optimization.

[0089] S302: Based on the signal data acquisition record, identify and separate background noise, optimize the impact of non-target frequency components on signal clarity, and generate a signal cleaning result;

[0090] During the signal data cleaning process, the signal processing algorithm Fast Fourier Transform is used to analyze the frequency composition of the signal, identify background noise and non-target frequency components, and apply digital filtering technology bandpass filter to suppress signals that do not belong to the target frequency range. The overall strength and frequency distribution of the signal are considered during the optimization process, and the filtering parameters are adjusted according to the preset signal quality standards to ensure that the signal clarity is maximized. The cleaned signal results are then evaluated through a signal quality assessment model. The model performs a comprehensive score based on the signal-to-noise ratio and distortion. The generated signal cleaning results record the processing effect and clarity improvement of each signal channel.

[0091] S303: adjusting the transmission power and frequency of the beacon according to the signal cleaning result, optimizing the clarity of the signal, and generating a transmission parameter adjustment result;

[0092] In the above content, according to the signal cleaning results, the transmission power and frequency are adjusted, and the formula Optimize signal clarity, where represents the initial transmission power, represents the adjustment factor, Represents the frequency adjustment value;

[0093] In the formula, represents the adjusted transmit power, represents the initial transmission power, represents the adjustment factor, Represents the frequency adjustment value;

[0094] Detailed explanation of the formula and the process of formula calculation and derivation:

[0095] Assuming the initial transmission power For 2 watts, the adjustment factor 0.05, frequency adjustment value For 20 Hz, calculate :

[0096] ;

[0097] The result of 4 watts indicates the adjusted transmit power. The calculation process is used to optimize signal clarity by increasing the transmit power to compensate for the loss caused by the frequency adjustment, ensuring effective signal propagation and reception.

[0098] See also Figure 5 Based on the transmission parameter adjustment results, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality indicators of the signal are evaluated, and the errors caused by reflections and obstacles are corrected. The specific steps for generating signal quality verification information are as follows:

[0099] S401: Based on the transmission parameter adjustment result, monitor the signal integrity and signal-to-noise ratio in real time, evaluate the signal integrity, and generate a signal integrity record;

[0100] During the signal integrity monitoring process, a real-time monitoring system is used to continuously track the integrity and signal-to-noise ratio of the signal based on the results of the transmission parameter adjustment. Digital signal processing technology is used to obtain real-time data of the signal. The signal integrity monitoring system evaluates the quality of the signal by comparing the received signal with the preset integrity standard, and captures the signal strength and background noise under different environmental conditions. By setting the threshold, when the signal-to-noise ratio is lower than the threshold, the system automatically records the integrity status of the signal. During the process, the signal integrity records are continuously updated and stored in the database, including signal strength, signal-to-noise ratio and real-time monitoring timestamps. The records provide important data support for subsequent signal quality analysis.

[0101] S402: Analyze the signal integrity record, evaluate the quality indicators of the signal, including the signal-to-noise ratio and the bit error rate, identify the error source, and generate the error source analysis result;

[0102] When analyzing signal integrity records, a quality assessment model is used to evaluate various signal quality indicators, including signal-to-noise ratio and bit error rate. Signal integrity records are extracted from the database, and the signal-to-noise ratio is statistically analyzed. The relationship between the signal-to-noise ratio and the bit error rate is detected using a linear regression analysis method. By calculating the mean and standard deviation of the signal-to-noise ratio, potential abnormal signal performance is identified. The bit error rate calculation formula is applied to evaluate the signal quality based on the number of received error bits and the total number of bits. Combined with the statistical analysis results, the error source is identified. The error source includes environmental interference, equipment aging and other factors. The generated error source analysis results list the degree of influence of each factor on the signal quality, providing a basis for subsequent signal optimization.

[0103] S403: Based on the error source analysis result, adjust and correct the signal error caused by reflection and obstacles, optimize the accuracy of signal quality, and generate signal quality verification information;

[0104] Based on the error source analysis results, signal errors are adjusted and corrected. Signal optimization algorithm adaptive filtering technology is used to process signal errors caused by reflections and obstacles. The main interference sources are determined according to the error source analysis results, and the reflection and diffraction models in the signal propagation path are adjusted. By modifying the parameters of the signal propagation model, the signal path is optimized and the signal penetration capability is enhanced. A dynamic correction mechanism is implemented to adjust the signal transmission power and receiving sensitivity in real time to ensure continuous improvement of signal quality. The generated signal quality verification information includes the adjusted signal-to-noise ratio, bit error rate and multiple quality indicators. The verification information is used to continuously monitor signal quality and optimize network performance, providing a reference for subsequent signal transmission strategies.

[0105] See also Figure 6Based on the signal quality verification information, the signal arrival time difference from multiple beacons to the intercom is calculated in real time, and the time difference data is used for positioning calculation. The steps for generating the positioning position range information are as follows:

[0106] S501: Based on the signal quality verification information, identify the reception time data of multiple beacons to the walkie-talkie, record the time point information of signal arrival, and generate a signal arrival time record;

[0107] In the process of generating the signal arrival time record, the signal reception time from the beacon to the walkie-talkie is monitored by the data acquisition system, and the clock synchronization technology is used to ensure the accuracy of the time record. The acquisition system compares the time when multiple beacons send signals with the time when the walkie-talkie receives the signal, and records the time point information when each beacon signal arrives at the walkie-talkie. Using the timestamp technology, each signal data is marked with the time of sending and receiving, and the signal flow path is tracked by the serial number of the data packet to ensure the integrity and traceability of the signal data. The recorded signal arrival time information is organized and stored in the database, providing a data basis for the subsequent analysis of signal propagation delays.

[0108] S502: Based on the signal arrival time record, calculate the time difference from the signals of multiple beacons to the walkie-talkie, identify the signal propagation delay between the multiple beacons and the walkie-talkie, and generate signal time difference data;

[0109] In the above content, the time difference between the signals of multiple beacons and the intercom is calculated according to the formula , calculate the signal propagation delay;

[0110] In the formula, represents the time difference, Represents the time when the signal arrives at the intercom. Represents the time when the signal is sent;

[0111] Detailed explanation of the formula and the process of formula calculation and derivation:

[0112] Assume that beacon A sends a signal at milliseconds, the transmission time of beacon B is milliseconds, the time it takes for the signal to reach the intercom is Milliseconds and Milliseconds, calculation :

[0113] ;

[0114] The results show the propagation time of the signal from each beacon to the walkie-talkie, and the time difference data is used for subsequent position estimation to determine the location of the walkie-talkie.

[0115] S503: using the signal time difference data, by comparing the time difference between the signals sent by multiple beacons and the time difference between the signals arriving at the walkie-talkie, the relative position of the walkie-talkie in the beacon network is estimated, and the position range information is generated;

[0116] The signal time difference data is used to estimate the relative position of the walkie-talkie. The triangulation positioning algorithm is adopted. The relative position of the walkie-talkie in the beacon network is estimated based on the signal arrival time difference of multiple beacons. The calculated signal time difference is converted into distance, and the speed of light constant is used to calculate the distance from each beacon to the walkie-talkie to form a distance matrix. The triangulation positioning technology is applied. Through the known positions of multiple beacons and the corresponding distance data, the relative coordinate position of the walkie-talkie is estimated by geometric method. The process generates position range information, describes the position of the walkie-talkie in the beacon network, and provides a basis for network optimization and signal coverage. The estimation results are used to adjust the layout of beacons and signal transmission strategies.

[0117] See also Figure 7 Based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the walkie-talkie. The specific steps for generating walkie-talkie positioning information are as follows:

[0118] S601: Based on the location range information, the positioning data of multiple walkie-talkie devices in the target area are collected, the signal receiving time of the multiple walkie-talkie devices is synchronized, and multi-device signal synchronization data is generated;

[0119] In the process of generating multi-device signal synchronization data, the scope of the target area is determined and the positioning data of multiple walkie-talkie devices in the area are collected. The global positioning system and signal time synchronization technology are used to ensure that multiple walkie-talkie devices receive signals at the same time. The synchronization process of signal reception time is implemented using a high-precision clock synchronization protocol to ensure the time accuracy of each device. Each walkie-talkie records its own positioning data and reception time when receiving a signal, and transmits the data to the central processing system through a wireless communication network. The central system is responsible for collecting and collating the signal synchronization data of the equipment. The generated multi-device signal synchronization data includes the location information of each walkie-talkie and the timestamp of the received signal, providing basic data support for subsequent distance analysis between devices.

[0120] S602: Based on the multi-device signal synchronization data, the relative distances between the multiple walkie-talkie devices are calculated by calculating the time difference between the multiple walkie-talkies receiving the same beacon signal, and the distance analysis results between the devices are generated;

[0121] In the process of calculating the relative distance between devices, based on the multi-device signal synchronization data, the time difference between multiple walkie-talkies receiving the same beacon signal is extracted, and the time difference calculation formula is used to convert the time difference into a relative distance. Using the basic principle of signal propagation, assuming that the signal propagates at the speed of light, the time difference between each walkie-talkie can be obtained by comparing the timestamps of the received signals. The time difference is organized into a distance matrix, which reflects the relative distance between each walkie-talkie. The distance relationship between devices is evaluated through a multivariate linear regression model. The calculated distance analysis results between devices provide the necessary reference for subsequent positioning, ensuring accurate evaluation of the relative position of the devices.

[0122] S603: Using the distance analysis result between devices, according to the relative positions and distances of multiple walkie-talkie devices, the geographic coordinate position of the target walkie-talkie is calculated to generate walkie-talkie positioning information;

[0123] The specific formula for calculating the geographic coordinates of the target walkie-talkie is:

[0124] ;

[0125] in, and Represent the x and y coordinates of the i-th intercom device, respectively. The coordinates provide the specific location information of each device. is the estimated distance between the ith walkie-talkie device and the target walkie-talkie, measured based on signal strength or time delay, and The x and y coordinates represent the geographic coordinates of the target intercom, which are used to represent the horizontal and vertical coordinates of the target intercom on the map. i is an index from 1 to n, traversing all intercom devices involved in the position calculation, and n is the total number of intercom devices involved in the calculation. Formula:

[0126] ;

[0127] Detailed explanation of the formula and the process of formula calculation and derivation:

[0128] The formula is used to calculate the location of the target walkie-talkie using data provided by multiple devices with known locations;

[0129] Parameter meaning and setting value:

[0130] is the x-coordinate of the ith device, is the y coordinate of the ith device, is the distance from the i-th device to the target walkie-talkie, n is the total number of devices involved in the calculation, assuming there are three devices, the location and distance data are as follows:

[0131] The position of device 1 is (100,150), and the distance to the target is 50 meters. The position of device 2 is (200,250), and the distance to the target is 30 meters. The position of device 3 is (300,350), and the distance to the target is 20 meters.

[0132] Substitute the parameters into the formula for calculation:

[0133] ;

[0134] result It shows that the geographic coordinates of the target walkie-talkie are (229.71, 279.90). This method is used to calculate the positioning data through local data fusion in complex environments and unstable GPS signals to provide stable and reliable location information.

[0135] See also Figure 8 A system for positioning a walkie-talkie by means of a beacon, the system for positioning a walkie-talkie by means of a beacon is used to execute the above-mentioned method for positioning a walkie-talkie by means of a beacon, and the system comprises:

[0136] The signal simulation module simulates the propagation behavior of radio signals in various scenarios based on radio signal data, analyzes the reflection and scattering characteristics of signals in different media, and generates signal propagation simulation data;

[0137] The deployment assessment module uses signal propagation simulation data to calculate the geographic locations of multiple deployment locations based on signal coverage requirements and deployment costs, and generates beacon location assessment data;

[0138] The signal processing module collects the signals sent by the walkie-talkie in real time based on the beacon location assessment data, identifies and filters the background noise, adjusts the beacon's transmission power and frequency to optimize the signal quality, and generates signal optimization parameters;

[0139] The data verification module uses signal optimization parameters to monitor signal integrity and signal-to-noise ratio in real time, evaluate signal quality, analyze and correct signal errors, and generate integrity assessment data;

[0140] The collaborative positioning module uses integrity assessment data to calculate the time difference from multiple beacons to the walkie-talkie, and estimates the location range of the walkie-talkie based on the time difference data. It combines multiple walkie-talkie devices for collaborative positioning, optimizes positioning accuracy, and generates walkie-talkie positioning information.

[0141] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for locating a walkie-talkie by means of a beacon, characterized in that: The following steps are involved: Based on radio signal data, by simulating the propagation behavior of radio signals in various scenarios, analyzing the reflection and scattering characteristics of signals in various media, and generating propagation characteristic analysis results; Utilizing the propagation characteristic analysis results, considering coverage, economy and efficiency of beacon deployment, calculating the deployment locations of multiple beacons and recording geographic positioning information, and generating beacon deployment location information; According to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity and generate the transmission parameter adjustment result; Based on the transmission parameter adjustment result, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality index of the signal are evaluated, and errors caused by reflections and obstacles are corrected to generate signal quality verification information; Based on the signal quality verification information, the signal arrival time difference from multiple beacons to the intercom is calculated in real time, and the time difference data is used to perform positioning calculation to generate positioning position range information; Based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the walkie-talkie and generate walkie-talkie positioning information; Based on the positioning position range information, by coordinating the signal data of multiple walkie-talkie devices, multi-device collaborative positioning is performed to optimize the positioning accuracy of the walkie-talkie, and the steps of generating walkie-talkie positioning information are specifically as follows: Based on the location range information, the positioning data of multiple walkie-talkie devices in the target area are collected, the signal receiving time of the multiple walkie-talkie devices is synchronized, and multi-device signal synchronization data is generated; Based on the multi-device signal synchronization data, by calculating the time difference of multiple walkie-talkies receiving the same beacon signal, the relative distance between the multiple walkie-talkie devices is calculated to generate an inter-device distance analysis result; Utilizing the inter-device distance analysis result, according to the relative positions and distances of multiple intercom devices, the geographic coordinate position of the target intercom is calculated to generate intercom positioning information; The specific formula for calculating the geographic coordinate position of the target intercom is: ； in, and Represent the x and y coordinates of the i-th intercom device, respectively. The coordinates provide the specific location information of each device. is the estimated distance between the ith walkie-talkie device and the target walkie-talkie, measured based on signal strength or time delay, and The x and y coordinates represent the geographic coordinates of the target walkie-talkie, which are used to represent the horizontal and vertical coordinates of the target walkie-talkie on the map. i is an index from 1 to n, traversing all walkie-talkie devices involved in the position calculation. n is the total number of walkie-talkie devices involved in the calculation.

2. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: The propagation characteristic analysis results include signal propagation path simulation data, signal attenuation information in various media, reflection and scattering point information; the beacon deployment location information includes the geographic coordinates of the beacon, the expected coverage area, and the distance parameters between beacons; the transmission parameter adjustment results include the adjusted transmission power level, signal frequency range, and background noise filter setting parameters; the signal quality verification information includes the corrected signal-to-noise ratio, signal integrity level, and signal reception consistency score; the location range information includes the calculated predicted location coordinates of the walkie-talkie, location error estimation data, and the time difference of the positioning signal; the walkie-talkie positioning information includes the calibrated positioning coordinate information, positioning accuracy evaluation information, and multi-device synergy effect analysis results.

3. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: Based on the radio signal data, by simulating the propagation behavior of radio signals in various scenarios and analyzing the reflection and scattering characteristics of signals in various media, the steps to generate the propagation characteristic analysis results are as follows: Based on radio signal data, simulate and analyze the propagation data of radio signals in various urban landscapes and building structures, identify the reflection data of signals on various media, and generate signal reflection data; Based on the signal reflection data, calculate the scattering intensity of the signal at various angles and distances, calculate the propagation path loss of the signal, evaluate the attenuation of the signal during propagation, and generate signal attenuation behavior data; Based on the signal attenuation behavior data, the propagation characteristics of the radio signal in various media are evaluated, including the location of the scattering point and the reflection intensity of the signal at various angles, to form a propagation characteristic analysis result.

4. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: Using the propagation characteristic analysis results, considering the coverage, economy and efficiency of beacon deployment, calculating the deployment locations of multiple beacons and recording geographic positioning information, the steps of generating beacon deployment location information are specifically as follows: Using the propagation characteristic analysis result, according to the regional location information of the beacon to be deployed, the coverage required for the beacon deployment is evaluated, and coverage evaluation data is generated; Based on the coverage assessment data, considering overlap and spatial redundancy of signal coverage, calculating the deployment positions of multiple beacons, optimizing the spatial distribution of beacons, and generating position calculation data; Based on the position calculation data and according to the geographic coordinate information of the beacon, a three-dimensional spatial distribution model of the beacon network is reconstructed to generate beacon deployment location information.

5. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: According to the beacon deployment location information, the signal sent by the walkie-talkie is collected in real time, the background noise is filtered, and the transmission power and frequency of the beacon are adjusted to optimize the signal clarity. The steps of generating the transmission parameter adjustment result are specifically as follows: According to the beacon deployment location information, collect signal data sent by the walkie-talkie, record the signal strength and frequency information, and generate a signal data collection record; Based on the signal data acquisition record, background noise is identified and separated, the influence of non-target frequency components on signal clarity is optimized, and a signal cleaning result is generated; According to the signal cleaning result, the transmission power and frequency of the beacon are adjusted to optimize the clarity of the signal and generate a transmission parameter adjustment result.

6. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: Based on the transmission parameter adjustment result, the integrity of the intercom signal is detected in real time, the signal-to-noise ratio and quality index of the signal are evaluated, and the errors caused by reflections and obstacles are corrected. The steps of generating signal quality verification information are specifically as follows: Based on the transmission parameter adjustment result, real-time monitoring of signal integrity and signal-to-noise ratio, evaluation of signal integrity, and generation of signal integrity records; Analyze the signal integrity record, evaluate the quality indicators of the signal, including signal-to-noise ratio and bit error rate, identify the error source, and generate an error source analysis result; Based on the error source analysis results, signal errors caused by reflections and obstacles are adjusted and corrected, the accuracy of signal quality is optimized, and signal quality verification information is generated.

7. The method for locating a walkie-talkie by means of a beacon according to claim 1, characterized in that: Based on the signal quality verification information, the steps of calculating the arrival time difference of the signals from multiple beacons to the intercom in real time, and using the time difference data to perform positioning calculation and generate the positioning position range information are specifically as follows: Based on the signal quality verification information, identifying the reception time data of multiple beacons to the intercom, recording the time point information of signal arrival, and generating a signal arrival time record; Based on the signal arrival time record, calculate the time difference of the signals from the multiple beacons to the intercom, identify the signal propagation delay between the multiple beacons and the intercom, and generate signal time difference data; By using the signal time difference data and comparing the time difference between the signals sent by multiple beacons and their arrival at the walkie-talkie, the relative position of the walkie-talkie in the beacon network is estimated to generate position range information.

8. A system for locating a walkie-talkie by means of a beacon, characterized in that: According to any one of claims 1 to 7, the method for locating a walkie-talkie by means of a beacon comprises: The signal simulation module simulates the propagation behavior of radio signals in various scenarios based on radio signal data, analyzes the reflection and scattering characteristics of signals in different media, and generates signal propagation simulation data; The deployment assessment module uses the signal propagation simulation data to calculate the geographical locations of multiple deployment locations according to signal coverage requirements and deployment costs, and generates beacon location assessment data; The signal processing module collects the signal sent by the walkie-talkie in real time based on the beacon position evaluation data, identifies and filters the background noise, adjusts the beacon's transmission power and frequency to optimize the signal quality, and generates signal optimization parameters; The data verification module uses the signal optimization parameters to monitor the integrity and signal-to-noise ratio of the signal in real time, evaluate the signal quality, analyze and correct the signal error, and generate integrity evaluation data; The collaborative positioning module uses the integrity assessment data to calculate the time difference from multiple beacons to the walkie-talkie, and estimates the location range of the walkie-talkie based on the time difference data, combines multiple walkie-talkie devices for collaborative positioning, optimizes the positioning accuracy, and generates walkie-talkie positioning information.

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