Helicopter emergency rescue positioning method and system

Abstract

The invention relates to the technical field of radio positioning, in particular to a helicopter emergency rescue positioning method and system, and the method comprises the following steps: a ground base station captures an initial positioning signal sent by a helicopter in a rescue area, binds the timestamp of the signal with signal data, and analyzes the correlation between the data and time, thereby obtaining a positioning result; signal time stamp data is generated. According to the method and the device, the signal quality is optimized and the stability and the reliability of the signal in an interference environment are enhanced by utilizing time axis inversion and signal amplitude adjustment, and the loss can be reduced, the transmission effect of the signal can be optimized and the overall receiving efficiency of the signal can be improved in a transmission process through encoding processing and signal inversion; the ground base station uses the signal propagation time difference and the path change data to carry out multiple times of comparison and calculate the position of the helicopter in real time, so that the accuracy and efficiency of rescue positioning are remarkably improved, a target is quickly and accurately positioned in emergency rescue, and the success rate and safety of rescue are improved.

Description

Technical Field

[0001] The present invention relates to the field of radio positioning technology, and in particular to a helicopter emergency rescue positioning method and system. Background Art

[0002] Radio positioning technology involves the use of electromagnetic waves to locate objects in space. This technology mainly relies on the propagation characteristics of radio waves, such as frequency, phase and intensity, to determine the location of objects. Radio positioning technology includes GPS (Global Positioning System), radar positioning and radio beacon positioning, and is widely used in military, aviation, navigation, and emergency rescue. Especially in the field of emergency rescue, radio positioning can quickly and accurately find the accident scene, improving rescue efficiency and safety.

[0003] Among them, the helicopter emergency rescue positioning method refers to the use of specific radio positioning technology to determine the precise location of the helicopter that needs rescue in an emergency. The main purpose is to quickly and accurately locate the helicopter when an accident or emergency occurs, providing important geographic information for rescue operations. Through this technology, the rescue team can more effectively plan rescue routes and deploy rescue resources, significantly improving the speed and success rate of rescue, which is of great significance for improving helicopter flight safety and responding to emergencies.

[0004] Although existing radio positioning technology has been applied in many fields, it still faces some limitations in actual operation. For example, radio signals are easily interfered in complex environments, affecting the accuracy of positioning. Traditional positioning technology fails to fully consider the impact of environmental factors on signal quality during signal transmission, resulting in signal loss or errors in some cases, affecting the efficiency and accuracy of rescue. This situation is particularly prominent in emergency rescue missions that require rapid response. Signal instability or errors lead to delays in rescue operations and even affect life safety. Traditional technology still has obvious deficiencies in ensuring the stability and accuracy of signals in various environments. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a helicopter emergency rescue positioning method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme, a helicopter emergency rescue positioning method, comprising the following steps:

[0007] S1: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal timestamp to the signal data, and generates signal time stamp data by analyzing the correlation between data and time;

[0008] S2: The ground base station uses the signal time-stamp data to perform time axis inversion, adjust the signal amplitude to a set optimal range, verify the signal quality, and obtain a time-reversed signal;

[0009] S3: Encode the time-reversed signal to avoid the loss of the positioning signal in an interference environment, optimize the transmission effect of the signal, and resend the adjusted signal to generate a coded inversion signal;

[0010] S4: The helicopter receives the coded inversion signal, performs signal decomposition, analyzes the difference in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data;

[0011] S5: The helicopter adjusts flight parameters according to the signal offset data, optimizes and adjusts the positioning signal sending point, checks the signal transmission distance, optimizes the signal receiving speed and efficiency, and generates a path optimization signal;

[0012] S6: The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates rescue positioning coordinates.

[0013] As a further solution of the present invention, the signal time marking data includes the receiving time, signal type and strength of the positioning signal, the time reversal signal includes the inverted timestamp, the signal strength after adjusting the amplitude and the quality verification result, the coding reversal signal includes the coding style, signal transmission optimization data and retransmission parameters, the signal offset data includes the phase difference, strength difference and calculated deviation value between the original signal and the received signal, the path optimization signal includes the adjusted flight path, the detection result of the signal transmission distance and the optimized signal receiving speed and efficiency data, and the rescue positioning coordinates include the position coordinates and the position data obtained based on the time difference and path change.

[0014] As a further solution of the present invention, the ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal timestamp with the signal data, and generates the signal time stamp data by analyzing the correlation between the data and time. Specifically, the steps are as follows:

[0015] S101: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, records the arrival time of the signal and the original data of the signal, and generates a signal reception record;

[0016] S102: Based on the signal reception record, the arrival time of the positioning signal is associated with the signal data, the consistency of each timestamp and the signal data is checked, each pair of time and data is standardized, and a time data pairing record is generated;

[0017] S103: Based on the time data pairing records, analyze the correlation between each pair of time and data, extract key time tags and signal features, perform signal time tagging framework, and generate signal time tagging data.

[0018] As a further solution of the present invention, the ground base station uses the signal time mark data to perform time axis inversion, adjust the signal amplitude to a set optimal range, verify the signal quality, and obtain the time reversed signal in the following steps:

[0019] S201: The ground base station performs time axis reversal using the signal time mark data, rearranges the signal data in reverse order by adjusting the time mark of the signal data, verifies the continuity of the signal using the adjusted time mark, and generates time reversal adjustment data;

[0020] S202: Based on the time reversal adjustment data, adjust the amplitude of the positioning signal so that the amplitude of the positioning signal reaches a preset optimal range, and verify the clarity and transmission efficiency of the signal by adjusting the signal strength to a target value, thereby generating amplitude adjustment signal data;

[0021] S203: According to the amplitude adjustment signal data, perform quality verification of the positioning signal, check the stability and reliability of the signal, verify the consistency of the adjusted signal during reception and transmission, and obtain a time-reversed signal.

[0022] As a further solution of the present invention, the time-reversed signal is encoded to avoid the loss of the positioning signal in an interference environment, optimize the transmission effect of the signal, and resend the adjusted signal. The steps of generating the encoded inversion signal are specifically as follows:

[0023] S301: Utilizing the time-reversed signal, executing a signal encoding process, optimizing the stability of the positioning signal in an interference environment, verifying the error detection and correction capability of the signal by correcting the positioning information, and generating an error correction result;

[0024] S302: adopting the error correction result, taking measures to avoid environmental interference in the rescue area, adjusting the signal frequency, avoiding the influence of external noise on signal quality, optimizing the transmission effect of the signal in the differentiated environment, and generating an interference avoidance signal;

[0025] S303: resending the adjusted signal through the interference avoidance signal, using signal sending equipment and technology to verify the stability of the signal during long-distance transmission, and generating a coded inversion signal.

[0026] As a further solution of the present invention, the helicopter receives the coded inversion signal, performs signal decomposition, analyzes the difference in phase and intensity between the original signal and the received signal in the emergency rescue area, and calculates the deviation value. The steps of generating signal offset data are specifically as follows:

[0027] S401: The helicopter receives the coded inversion signal, deconstructs the signal into basic phase and intensity components, records and analyzes the core characteristics of the signal, and generates signal decomposition data;

[0028] S402: Based on the signal decomposition data, a wavelet transform method is used to perform multi-scale analysis on the original signal and the received signal in the emergency rescue area, and the phase and intensity differences of the signals during the transmission process are recorded to generate phase intensity difference analysis data;

[0029] S403: Utilizing the phase intensity difference analysis data, calculating the deviation value between the original signal and the received signal, evaluating the transmission quality of the signal, providing guidance information for helicopter emergency rescue, and generating signal offset data.

[0030] As a further solution of the present invention, the formula of the wavelet transform method is as follows:

[0031]

[0032] Among them, ΔS represents the strength difference of the signal, W(a,b) represents the wavelet coefficient at scale a and position b, R represents the strength value of the received signal, and O represents the strength value of the original signal. Used to adjust the impact of differences according to the scale of signal analysis, ∈ is the adjustment coefficient.

[0033] As a further solution of the present invention, the helicopter adjusts the flight parameters according to the signal offset data, optimizes and adjusts the positioning signal sending point, checks the signal transmission distance, optimizes the signal receiving speed and efficiency, and generates the path optimization signal in the following steps:

[0034] S501: The helicopter changes the flight altitude, speed and heading according to the signal offset data to align with the source of the positioning signal, verifies the degree of alignment between the flight trajectory and the signal source, and generates flight parameter adjustment data;

[0035] S502: Based on the flight parameter adjustment data, adjust the positioning signal transmission point, calculate and set the optimal signal transmission angle and power, maximize the signal coverage, and generate signal transmission point optimization data;

[0036] S503: Utilize the signal transmission point optimization data to check the real-time distance of signal transmission, evaluate and optimize the signal receiving speed and efficiency, optimize the overall transmission performance of the signal by adjusting the frequency filtering settings, and generate a path optimization signal.

[0037] As a further solution of the present invention, the ground base station receives the path optimization signal, uses the signal propagation time difference and the path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates the rescue positioning coordinates in the following steps:

[0038] S601: The ground base station receives the path optimization signal, records the propagation time difference and path change data of each signal, tracks the change path and time interval of the signal, monitors the transmission effect and path stability of the signal, and generates a signal time path record;

[0039] S602: According to the signal time path record, compare multiple signal propagation data, analyze the propagation characteristics of the signal at the differentiated time and path, identify key changes and anomalies on the signal path, track the dynamic flow of the signal, and generate signal path comparison data;

[0040] S603: Calculate the real-time position of the helicopter through the signal path comparison data, use the collected multiple signal data to calculate and verify the consistency of the position information, provide geographic positioning support for the rescue operation, and generate rescue positioning coordinates.

[0041] A helicopter emergency rescue positioning system, the helicopter emergency rescue positioning system is used to execute the above-mentioned helicopter emergency rescue positioning method, the system comprises:

[0042] The signal capture module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time mark data;

[0043] The timestamp adjustment module uses the signal time-stamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameter, evaluate the signal state, verify the signal quality, and generate a time-reversed signal;

[0044] The signal retransmission module encodes the time-reversed signal to optimize the transmission effect of the signal in an interference environment, avoid signal loss, and retransmits the signal to generate a coded inversion signal;

[0045] The flight parameter adjustment module receives the coded inversion signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the sending point of the positioning signal, verifies the signal transmission distance, and generates a path optimization signal;

[0046] The real-time positioning calculation module utilizes the path optimization signal to track and locate the position of the helicopter in real time according to the signal propagation time difference and path change, and generates rescue positioning coordinates.

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

[0048] In the present invention, by combining the timestamp with the signal data, signal data with a time mark is generated, so that the accuracy of the positioning signal in a complex environment is improved. The signal quality is optimized by reversing the time axis and adjusting the signal amplitude, and the stability and reliability of the signal in an interference environment are enhanced. Through coding processing, the reversed signal can reduce losses during transmission, optimize the transmission effect of the signal, and improve the overall reception efficiency of the signal. The helicopter optimizes the flight parameters and the positioning signal sending point by analyzing the signal offset data, effectively improving the accuracy and response speed of the rescue operation. The ground base station uses the signal propagation time difference and path change data for multiple comparisons, and calculates the helicopter position in real time, which significantly improves the accuracy and efficiency of rescue positioning. Through precise regulation and optimization of the signal, the goal of rapid and accurate positioning in emergency rescue is achieved, and the success rate and safety of rescue are improved. 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 helicopter emergency rescue positioning method, comprising the following steps:

[0060] S1: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal timestamp to the signal data, and generates signal time stamp data by analyzing the correlation between data and time;

[0061] S2: The ground base station uses the signal time-stamp data to perform time axis reversal, adjusts the signal amplitude to the set optimal range, verifies the continuity and quality of the signal using the adjusted time stamp, and obtains a time-reversed signal;

[0062] S3: Encode the time-reversed signal to avoid the loss of the positioning signal in an interference environment, optimize the signal transmission effect, and resend the adjusted signal to generate a coded inversion signal;

[0063] S4: The helicopter receives the coded inversion signal, decomposes the signal, analyzes the difference in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data;

[0064] S5: The helicopter adjusts the flight parameters according to the signal offset data, optimizes the positioning signal sending point, checks the shortest straight-line distance of signal transmission, optimizes the signal receiving speed and efficiency, and generates a path optimization signal;

[0065] S6: The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates rescue positioning coordinates.

[0066] The signal time stamp data includes the reception time, signal type and strength of the positioning signal. The time-reversed signal includes the inverted timestamp, the signal strength after amplitude adjustment and the quality verification result. The coding-reversed signal includes the coding style, the signal transmission optimization data and the retransmission parameters. The signal offset data includes the phase difference, the strength difference and the calculated deviation value between the original signal and the received signal. The path optimization signal includes the adjusted flight path, the detection results of the signal transmission distance and the optimized signal reception speed and efficiency data. The rescue positioning coordinates include the position coordinates and the position data obtained based on the time difference and the path change.

[0067] See also Figure 2 The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal timestamp to the signal data, and generates the signal time stamp data by analyzing the correlation between data and time. The specific steps are as follows:

[0068] S101: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, records the arrival time of the signal and the original data of the signal, and generates the execution process of the signal reception record as follows;

[0069] The ground base station receives the positioning signal sent by the helicopter in the rescue area and records the arrival time and raw data of the signal. This is a key initial signal capture process. The accuracy of time recording is guaranteed through high-precision clock synchronization technology. The signal processing unit inside the base station begins to perform preliminary decoding and verification on the received data to ensure the integrity and readability of the data, and stores the data in the database for subsequent analysis. The arrival timestamp of each signal is obtained through the synchronous clock system of the ground base station. The system can record time with millisecond-level accuracy to ensure that the time clues of subsequent data processing are highly consistent with the signal data, thus forming a signal reception record.

[0070] S102: Based on the signal reception record, the arrival time of the positioning signal is associated with the signal data, the consistency of each timestamp and the signal data is checked, and each pair of time and data is standardized to generate the execution process of the time data pairing record is as follows;

[0071] Each pair of time and data is standardized according to the formula Calculate the standardized time. Where, t i represents the arrival time of each signal, t 0 represents the reference time when the recording starts, c represents the standardization coefficient, and Δ represents the time interval. i is directly obtained from the signal reception record, t 0 is a fixed reference point selected, c and Δ are standardized parameters determined through data analysis.i =12:00:05, t 0 =12:00:00, c=1, Δ=60 seconds as an example, the calculation process is: Minutes. This indicates that normalization can transform time data into a form that is more suitable for analysis.

[0072] S103: Based on the time data pairing records, the correlation between each pair of time and data is analyzed, key time tags and signal features are extracted, a signal time tagging framework is performed, and the execution flow of generating signal time tagging data is as follows;

[0073] Based on the time data pairing records, the correlation between each pair of time and data is analyzed. The steps involve extracting key time tags and signal features from the paired data and establishing a signal time tagging framework in order to optimize the signal analysis and utilization process. By using advanced data association analysis techniques, such as correlation coefficient calculation and regression analysis, the statistical significance between time and data is confirmed, and signal patterns directly related to the rescue mission are identified in the data set to guide rescue operations and ensure maximum rescue efficiency. The results of the association analysis help improve the accuracy and response speed of signal processing, ensure that key signals can be accurately captured and utilized in complex environments, and generate signal time tag data.

[0074] See also Figure 3 The ground base station uses the signal time-stamped data to perform time axis reversal, adjust the signal amplitude to the set optimal range, verify the signal quality, and obtain the time-reversed signal in the following steps:

[0075] S201: Using the signal time stamp data, the ground base station performs time axis reversal, adjusts the time stamp of the signal data, rearranges the signal data in reverse order, verifies the continuity of the signal using the adjusted time stamp, and generates the execution flow of time reversal adjustment data as follows;

[0076] By adjusting the time stamp of the signal data, the signal data is rearranged in reverse order, according to the formula T ′ =T max -(t i -t 0 ), calculate the time mark after the time axis is reversed. In the formula, T ′ Represents the time stamp after inversion, T max Represents the maximum time value in the record, t i Represents the original time stamp, t 0 Represents the start time. Detailed explanation of the formula and the process of formula calculation: Set T max =23:59:00, t i =12:00:05, t 0=12:00:00, then T ′ =23:59:00-(12:00:05-12:00:00)=23:58:55. The process reverses the original time mark to provide a basis for the subsequent verification of signal continuity. The reversed time mark helps to detect the discontinuous part of the signal and improve the data processing efficiency and signal reliability.

[0077] S202: Based on the time reversal adjustment data, adjust the amplitude of the positioning signal so that the amplitude of the positioning signal reaches a preset optimal range, and verify the clarity and transmission efficiency of the signal by adjusting the signal strength to the target value. The execution process of generating the amplitude adjustment signal data is as follows;

[0078] Time reversal adjustment data is used to further adjust the amplitude of the positioning signal to ensure that it reaches the preset optimal range. The steps involve fine-tuning the signal amplitude. By dynamically adjusting the signal strength, the target value is reached or approached. The adjusted time markers are used to verify the clarity and transmission efficiency of the signal. The adjustment is performed by a digital signal processor to ensure the best performance of the signal in different environments. The purpose of implementing amplitude adjustment is to improve the communication quality in the signal coverage area and to ensure clear transmission and reception of information in emergency situations. The signal strength adjustment is based on field measurement data. The adjusted amplitude range is determined based on the theoretical and actual measurement values ​​of signal propagation to generate amplitude adjustment signal data.

[0079] S203: According to the amplitude adjustment signal data, the quality verification of the positioning signal is performed to check the stability and reliability of the signal, and the consistency of the adjusted signal during reception and transmission is verified to obtain the execution flow of the time reversal signal as follows;

[0080] The signal data is adjusted according to the amplitude to verify the quality of the positioning signal, check the stability and reliability of the signal, including verifying the consistency of the adjusted signal during reception and transmission, and testing the overall performance of the signal to ensure stable output of the signal in any environment. By comprehensively evaluating the signal transmission path and environmental factors, the evaluation team uses advanced signal testing equipment to monitor and record signal performance, such as frequency response and waveform distortion. Each test is to verify that the adjusted signal can remain efficient and accurate in actual applications. It is a key step to ensure that the signal is reliably transmitted under various conditions. The test results form a time-reversal signal to provide data support for further signal optimization and application.

[0081] See also Figure 4 , encode the time-reversed signal, avoid the loss of the positioning signal in the interference environment, optimize the signal transmission effect, and resend the adjusted signal. The specific steps of generating the coded inversion signal are:

[0082] S301: Utilize the time-reversed signal to perform the signal encoding process, optimize the stability of the positioning signal in the interference environment, verify the error detection and correction capability of the signal by correcting the positioning information, and generate the error correction result. The execution process is as follows;

[0083] The signal encoding process is performed using a time-reversed signal. The signal undergoes special processing before transmission and can be reversed in time during the propagation process to resist path loss and interference, allowing the signal to maintain structural integrity in multipath or complex environments, and achieve more accurate decoding at the receiving end. It is particularly suitable for environments such as cities or underground where signals are easily interfered with. Time reversal processing simulates the inverse process of signal propagation to enhance the signal's adaptability to environmental changes, optimize the signal's transmission quality and stability in an interference environment, and generate error correction results by correcting positioning information and calculating positioning errors.

[0084] S302: Using the error correction result, taking measures to avoid environmental interference in the rescue area, adjusting the signal frequency, avoiding the impact of external noise on signal quality, optimizing the transmission effect of the signal in a differentiated environment, and generating an interference avoidance signal. The execution process is as follows;

[0085] Using the error correction results, measures are taken to avoid environmental interference in the rescue area, including adjustment of signal frequency, with the aim of minimizing the impact of external noise on signal quality. Signal frequency adjustment is based on field environmental noise data. The most interfered frequency band is determined by analyzing the frequency response graph and noise spectrum, and the signal frequency is set outside the frequency band to effectively avoid noise. The process utilizes advanced frequency adjustment equipment to ensure that the signal transmission effect in a differentiated environment is optimized. Through this adjustment, the signal transmission path and conditions are re-evaluated and configured to adapt to changing environmental conditions, ensure clear and reliable communications during rescue operations, and generate interference avoidance signals.

[0086] S303: The execution process of resending the adjusted signal by interference avoidance signal, using signal transmission equipment and technology to verify the stability of the signal during long-distance transmission, and generating the code reversal signal is as follows;

[0087] By avoiding interference with signals, resending adjusted signals, and using signal sending equipment and technology, the stability of signals during long-distance transmission is verified, including the use of high-performance transmitters and receivers and multiple transmission media (such as optical fiber or radio waves). During implementation, various signal parameters are monitored in real time to ensure the continuity and stability of transmission. The technical team adapts to the needs of different transmission distances and environmental conditions by precisely adjusting the transmission power and receiving sensitivity. The signal is resent after special encoding to increase the integrity and security of the transmitted data, ensuring that critical information is not lost or interfered with in any form when it reaches its destination, providing evidence of the reliability of signal transmission in extreme or complex environments, and generating a coded reversal signal.

[0088] See also Figure 5 The helicopter receives the coded inversion signal, decomposes the signal, analyzes the difference in phase and intensity between the original signal and the received signal in the emergency rescue area, and calculates the deviation value. The specific steps of generating the signal offset data are as follows:

[0089] S401: The helicopter receives the coded inversion signal, deconstructs the signal into basic phase and intensity components, records and analyzes the core characteristics of the signal, and generates the execution flow of the signal decomposition data as follows;

[0090] Deconstruct the signal into basic phase and intensity components, record and analyze the core characteristics of the signal, and use the formula P = ∑(φ i I i ), calculate the signal decomposition data. In the formula, P represents the overall characterization value of the signal, φ i Represents the phase component of the signal, I i Represents the intensity component of the signal. Detailed explanation of the formula and the process of formula calculation: If the signal is composed of multiple components of different frequencies, the phase of each component φ i and intensity I i Measured by the sensor of the receiving device, for example, if the phase of one component is 30° (i.e., π / 6 radians) and the intensity is 5 units, and the phase of the other component is 45° (i.e., π / 4 radians) and the intensity is 3 units, then P = (π / 6·5) + (π / 4·3) = 2.618 + 2.356 = 4.974. This calculation helps to extract the most critical transmission characteristics in a complex signal environment for more in-depth analysis and application.

[0091] S402: Based on the signal decomposition data, a wavelet transform method is used to perform multi-scale analysis on the original signal and the received signal in the emergency rescue area, and the phase and intensity differences of the signal during the transmission process are recorded. The execution process of generating phase intensity difference analysis data is as follows;

[0092] The formula of the wavelet transform method is as follows:

[0093]

[0094] Among them, ΔS represents the strength difference of the signal, W(a,b) represents the wavelet coefficient at scale a and position b, R represents the strength value of the received signal, and O represents the strength value of the original signal. Used to adjust the impact of differences according to the scale of signal analysis, ∈ is the adjustment coefficient.

[0095] formula:

[0096]

[0097] Detailed explanation of the formula and the process of formula calculation and derivation:

[0098] Parameter definition and acquisition method

[0099] 1.W(a,b) is the wavelet coefficient, which is obtained by wavelet transforming the signal. Wavelet transform is a technique for analyzing the frequency of variables, which can perform localized frequency analysis of signals at different scales. Set the Daubechies wavelet for transformation, and select scale a=2 and position b=0 for calculation. The coefficients are calculated in the signal processing software.

[0100] 2. R and O are the strength values ​​of the received and original signals respectively. The data is obtained through real-time monitoring of the sensor. The actual monitored received signal strength is set to R = 5.2 units and the original signal strength is set to O = 4.8 units.

[0101] 3. is the scale factor, which is adjusted according to the scale a of the wavelet transform and is used to standardize the influence of signal features at different scales.

[0102] 4.∈ is a stability factor, which is used to adjust the sensitivity of wavelet transform and prevent overfitting. Based on signal processing experience, the value is set to 0.05 to ensure the accuracy and stability of the analysis results.

[0103] Formula derivation and calculation

[0104] 1. Wavelet coefficient calculation: Set the scale a = 2 and position b = 0, and obtain the wavelet coefficients through actual data transformation:

[0105] W(2,0)=1.8

[0106] 2. Signal strength difference: Calculate |RO|, where R = 5.2 and O = 4.8

[0107] |RO|=|5.2-4.8|=0.4

[0108] 3. Formula substitution and calculation:

[0109]

[0110] The results show that at a given scale and position, the difference in phase and intensity between the original signal and the received signal after wavelet transformation is 10.18. This indicates that there are significant changes in the signal transmission process, caused by interference from the propagation medium or signal attenuation. The numerical results provide the emergency rescue team with a quantitative assessment of signal integrity, which helps to further analyze the problems encountered during signal transmission. In this way, changes in signal quality can be more accurately identified and corresponding measures can be taken to adjust and optimize rescue communication strategies.

[0111] S403: using phase intensity difference analysis data, calculating the deviation value between the original signal and the received signal, evaluating the transmission quality of the signal, providing guidance information for helicopter emergency rescue, and generating the signal offset data execution process is as follows;

[0112] Using phase intensity difference analysis data to calculate the deviation between the original signal and the received signal is a key step in evaluating the quality of signal transmission. By comparing the phase and intensity data of the original signal and the received signal, the technical team can accurately identify the distortion or deviation in the transmission process. The deviation value calculation is based on the formula where p o and p r are the phases of the original and received signals respectively, O and R are the intensities. The process not only reveals the stability and reliability of the signal during transmission, but also provides a basis for adjusting the signal transmission or processing strategy to ensure that the guidance information received by the helicopter during emergency rescue operations is accurate. Signal offset data is the key data for achieving precise navigation and positioning, and has a direct impact on improving the rescue effect.

[0113] See also Figure 6 The helicopter adjusts the flight parameters according to the signal offset data, optimizes the positioning signal sending point, checks the signal transmission distance, optimizes the signal receiving speed and efficiency, and generates the path optimization signal in the following steps:

[0114] S501: The helicopter changes the flight altitude, speed and heading according to the signal offset data to align with the source of the positioning signal, verifies the alignment between the flight trajectory and the signal source, and generates the flight parameter adjustment data. The execution process is as follows;

[0115] By changing the flight altitude, speed and heading, aiming at the source of the positioning signal, according to the formula Calculate flight parameter adjustment data. In the formula, Δx represents the comprehensive parameter of flight adjustment, h represents the change of flight altitude, v represents the change of speed, and d represents the deviation angle of heading. Detailed explanation of the formula and the derivation process of the formula calculation: Set the flight altitude change to 200 meters, the speed change to 50km / h, and the heading deviation to 30 degrees. After converting to basic units (speed unit to m / s, angle to radians), the calculation can be performed: h=200, The comprehensive parameters show that with proper flight adjustments, the aircraft can effectively align to the signal source, improving the accuracy and efficiency of rescue operations.

[0116] S502: Based on the flight parameter adjustment data, the positioning signal transmission point is adjusted, the optimal signal transmission angle and power are calculated and set, the signal coverage is maximized, and the execution process of generating the signal transmission point optimization data is as follows;

[0117] Based on the flight parameter adjustment data, the positioning signal sending point is adjusted, including calculating and setting the optimal signal sending angle and power, in order to maximize the signal coverage. Through precise calculation models, considering the physical characteristics of signal propagation and environmental factors such as air humidity, temperature and terrain, the technical team determines the optimal transmission angle and power setting to ensure that the signal can be received within the maximum range while maintaining the best transmission efficiency. Through experiments and field tests, the model is constantly adjusted to adapt to actual operating conditions. The generated signal sending point optimization data provides key technical support for rescue operations and ensures stable signal transmission and effective coverage.

[0118] S503: Using the signal transmission point optimization data, checking the real-time distance of the signal transmission, evaluating and optimizing the signal receiving speed and efficiency, optimizing the overall transmission performance of the signal by adjusting the frequency filtering settings, and generating the path optimization signal. The execution process is as follows;

[0119] Utilize signal transmission point optimization data, check the real-time distance of signal transmission, evaluate and optimize the signal reception speed and efficiency. The process includes adjusting the frequency filtering settings to optimize the overall transmission performance of the signal. By using advanced signal processing technology and modulation strategies, the technical team adjusts the frequency response of the signal, reduces interference and improves the overall quality of the signal. Experimental data and scenario simulation help determine the optimal frequency settings to ensure effective transmission of the signal in various environments. Adjustments are made to maintain high efficiency and high speed in long-distance transmission. The generated path-optimized signal provides an efficient communication solution for rescue operations, ensuring accurate transmission of information at critical moments.

[0120] See also Figure 7The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates the rescue positioning coordinates in the following steps:

[0121] S601: The ground base station receives the path optimization signal, records the propagation time difference and path change data of each signal, tracks the change path and time interval of the signal, monitors the transmission effect and path stability of the signal, and generates the execution process of the signal time path record as follows;

[0122] Record the propagation time difference and path change data of each signal, track the signal change path and time interval, and follow the formula Δt=t n -t n-1 , calculate the signal time path record. In the formula, Δt represents the time difference between two adjacent signals, t n Represents the reception time of the current signal, t n-1 Represents the reception time of the previous signal. Detailed explanation of the formula and the derivation process of the formula calculation: Set the reception time t of the current signal n is 12:05:30, the previous signal reception time is t n-1 If the time difference is 12:05:00, then the time difference Δt = 12:05:30-12:05:00 = 30 seconds. The calculation method helps monitor the transmission effect and path stability of the signal. By recording and analyzing the time difference, the changing path of the signal can be effectively tracked and the continuity and reliability of signal transmission can be evaluated.

[0123] S602: According to the signal time path record, compare multiple signal propagation data, analyze the propagation characteristics of the signal at the differentiated time and path, identify the key changes and anomalies on the signal path, track the dynamic flow of the signal, and generate the signal path comparison data. The execution process is as follows;

[0124] According to the signal time path record, multiple signal propagation data are compared and the propagation characteristics of the signal at differentiated times and paths are analyzed. The process involves identifying key changes and anomalies on the signal path. Through data analysis tools and statistical methods, the technical team can track and identify the dynamic flow of the signal. The comparison and analysis reveal the different modes of signal propagation and potential interference factors, which is of great significance for optimizing signal transmission strategies and improving the accuracy of signal transmission, ensuring the reliability of communication in complex environments. The generated signal path comparison data is an important basis for optimizing the signal transmission path and time efficiency, and provides real-time dynamic monitoring and early warning information.

[0125] S603: Calculate the real-time position of the helicopter through signal path comparison data, use the collected multiple signal data to calculate and verify the consistency of the position information, provide geographic positioning support for the rescue operation, and generate the rescue positioning coordinates. The execution process is as follows;

[0126] Calculating the real-time position of the helicopter through signal path comparison data and using the collected multiple signal data to calculate and verify the consistency of the position information are key steps in providing geographic positioning support for rescue operations. Through high-precision positioning and geographic information systems, the technical team can extract accurate location information from complex signal data. The calculation of location information is based on multi-point measurement and signal strength analysis, ensuring the high consistency and accuracy of positioning data. The generated rescue positioning coordinates are important data for effective rescue deployment and strategic planning. The data directly supports the efficient execution of rescue operations and ensures that rescue resources can reach the location where help is needed accurately and quickly.

[0127] See also Figure 8 A helicopter emergency rescue positioning system is provided, and the helicopter emergency rescue positioning system is used to execute the above-mentioned helicopter emergency rescue positioning method, and the system comprises:

[0128] The signal capture module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time mark data;

[0129] The timestamp adjustment module uses the signal time-stamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameter, and evaluate the signal status, verify the signal quality, and generate a time-reversed signal;

[0130] The signal retransmission module encodes the time-reversed signal to optimize the signal transmission effect in an interference environment, avoid signal loss, and retransmit the signal to generate a coded reverse signal;

[0131] The flight parameter adjustment module receives the coded inversion signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the sending point of the positioning signal, verifies the signal transmission distance, and generates a path optimization signal;

[0132] The real-time positioning calculation module uses the path optimization signal to track and locate the position of the helicopter in real time according to the signal propagation time difference and path changes, and generates rescue positioning coordinates.

[0133] 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 helicopter emergency rescue positioning method, characterized in that: The following steps are involved: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal's timestamp to the signal data, and generates signal time-stamp data by analyzing the correlation between the data and time; The ground base station uses the signal time-stamp data to perform time axis inversion, adjust the signal amplitude to a set optimal range, verify the signal quality, and obtain a time-reversed signal; Encoding the time-reversed signal to avoid the loss of the positioning signal in an interference environment, optimizing the transmission effect of the signal, and resending the adjusted signal to generate a coded inversion signal; The helicopter receives the coded inversion signal, performs signal decomposition, analyzes the difference in phase and intensity between the original signal in the emergency rescue area and the received signal, calculates the deviation value, and generates signal offset data; The helicopter adjusts flight parameters according to the signal offset data, optimizes and adjusts the positioning signal sending point, checks the signal transmission distance, optimizes the signal receiving speed and efficiency, and generates a path optimization signal; The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates rescue positioning coordinates.

2. The helicopter emergency rescue positioning method according to claim 1, characterized in that: The signal time stamp data includes the reception time, signal type and strength of the positioning signal; the time reversal signal includes the inverted timestamp, the signal strength after amplitude adjustment and the quality verification result; the coding reversal signal includes the coding style, signal transmission optimization data and retransmission parameters; the signal offset data includes the phase difference, strength difference and calculated deviation value between the original signal and the received signal; the path optimization signal includes the adjusted flight path, the detection result of the signal transmission distance and the optimized signal reception speed and efficiency data; the rescue positioning coordinates include the position coordinates and the position data obtained based on the time difference and path change.

3. A helicopter emergency rescue positioning system, characterized in that: According to the helicopter emergency rescue positioning method according to any one of claims 1-2, the system comprises: The signal capture module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time mark data; The timestamp adjustment module uses the signal time-stamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameter, evaluate the signal state, verify the signal quality, and generate a time-reversed signal; The signal retransmission module encodes the time-reversed signal to optimize the transmission effect of the signal in an interference environment, avoid signal loss, and retransmits the signal to generate a coded inversion signal; The flight parameter adjustment module receives the coded inversion signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the sending point of the positioning signal, verifies the signal transmission distance, and generates a path optimization signal; The real-time positioning calculation module utilizes the path optimization signal to track and locate the position of the helicopter in real time according to the signal propagation time difference and path change, and generates rescue positioning coordinates.

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