A complex environment multi-mode signal transceiving and infrared remote control integrated method and device

Abstract

The application discloses a kind of complex environment multimode signal transceiving and infrared remote control integrated method and device, it is related to multimode signal processing technical field.The complex environment multimode signal transceiving and infrared remote control integrated method, it includes: multimode signal interference characteristic monitoring;Multimode signal attenuation distortion characteristic monitoring;Multimode signal transceiver positioning accuracy monitoring;Control instruction response accuracy monitoring.The application is analyzed by judging whether multimode signal attenuation distortion characteristic is analyzed to determine whether multimode signal enhancement needs to be taken, then positioning accuracy evaluation is carried out and it is judged whether multimode fusion positioning needs to be taken, finally control instruction response accuracy analysis is carried out and it is judged whether infrared remote control instruction compensation needs to be taken, reach the effect of improving multimode signal transceiver positioning and collaborative equipment control accuracy, solve the problem of low multimode signal transceiver positioning and collaborative equipment control accuracy in prior art.

Description

Technical Field

[0001] This invention relates to the field of multimode signal processing technology, and in particular to a method and apparatus for integrating multimode signal transmission and reception with infrared remote control in complex environments. Background Technology

[0002] In the process of multi-mode signal transceiver and infrared remote control, firstly, multiple transceivers are deployed in an unobstructed, open, and outdoor environment to achieve resource sharing of radio frequency antennas. Next, the multiple transceivers attempt to obtain their current latitude and longitude from satellites for initial positioning. If the satellite signal is weak or unreachable, the radio frequency antennas are activated to detect nearby transceivers in the closed working mode of the bionic handle for transmitting control signals via millimeter waves. Simultaneously, the operating status of nearby transceivers is acquired. If the connected transceivers also experience weak satellite signals, three independent transceivers are connected to form a signal repeater. The relative position of the handheld transceiver is determined by establishing a criterion between these three transceivers. Then, when the bionic handle for transmitting control signals is closed and locked, if the environment is open and the satellite signal is good, the multiple transceivers will immediately record the current position. The latitude and longitude coordinates are synchronized to the command center (such as a rescue command center or an expedition command center). The sensors built into various transceivers (such as motion sensors and inertial sensors) will complete path simulation and transmit the current satellite signal under satellite signal calibration. After receiving the on-site information (such as voice information transmitted through microphones, information input from the buttons on the various transceiver panels, and latitude and longitude information), the command center will first analyze the on-site information. If it is necessary to dispatch the drone to perform relevant operations (such as material delivery, casualty transfer, or area reconnaissance tasks), it will issue coordination instructions to various transceivers on-site through a multi-mode radio frequency link. According to the coordination instructions, the operators can operate the infrared transmitters on the top of various transceivers to send pulse codes of a specific frequency in the form of infrared remote control, and control the drone to adjust its flight altitude and heading to guide the drone to land in an open area near the signal source.

[0003] In the process of multimode signal transmission and reception and infrared remote control, firstly, the infrared remote control user inputs control commands through the buttons on the remote control. After the commands are received and parsed by the microprocessor, corresponding control signals are generated. Next, the microprocessor selectively activates the radio frequency module or the infrared transmitting module according to the preset mode or the type of controlled device. If the radio frequency module is activated, the control signal is modulated and sent to the matching receiving device through the wireless frequency band. If the infrared transmitting module is activated, the control signal is converted into infrared pulse code and transmitted in the form of infrared light through the infrared transmitter. Subsequently, the receiving device (such as a device with receiving function or a traditional infrared receiving device) receives and decodes the corresponding signal, and finally executes the corresponding control operation to realize remote control of the operating device, etc.

[0004] For example, the Chinese invention patent announcement CN104240491 B describes a method for digitizing infrared signals, which includes: First, acquiring raw analog infrared signals emitted by a target scene or object using an infrared sensing device to ensure the signal fully reflects the infrared radiation characteristics of the target; next, preprocessing the acquired analog infrared signals, typically including filtering to remove unwanted signals such as environmental noise and electromagnetic interference, and signal amplification to adjust the weak analog infrared signal to a suitable amplitude range for subsequent conversion, thereby improving signal quality; then, inputting the preprocessed analog infrared signal to an analog-to-digital converter, converting the continuously changing analog infrared signal into discrete digital signals according to a preset sampling frequency and quantization precision, completing the core digital-to-analog conversion process; subsequently, further optimizing the initial digital signal obtained after conversion, such as eliminating residual noise through digital filtering, performing signal calibration to correct hardware deviations, and adjusting the digital signal to a data format that meets the requirements of subsequent storage, transmission, or application; finally, outputting the processed standardized digital infrared signal.

[0005] For example, Chinese invention patent CN117292532B discloses a method for controlling the transmission of infrared remote control signals, which includes: First, receiving a control command triggered by the user through the remote control buttons, identifying the target device and operation function (such as adjusting volume, switching modes, etc.) corresponding to the control command; Next, acquiring the current working status information of the remote control, including the remaining battery power, the status of the signal transmission module, and environmental parameters such as whether there is co-channel interference, and determining whether the signal transmission conditions are met; Then, encoding the command according to a preset control strategy to generate a basic infrared signal containing the device address, operation code, and verification information, and dynamically adjusting the signal transmission power, pulse interval, and other parameters in combination with the current status to adapt to different distances or interference environments; Afterwards, starting a signal transmission timing and monitoring mechanism, controlling the infrared emitting tube to send the encoded signal according to the adjusted parameters, and detecting in real time whether there is an interruption or abnormality during the signal transmission process; Finally, if the signal is successfully transmitted and no abnormality is detected, the transmission of this control command is completed; if an abnormality exists, retrying or prompting the user to adjust the operation is performed according to preset rules to ensure that the command is effectively delivered to the target device.

[0006] The above-mentioned technology has at least the following technical problems:

[0007] In complex terrain (such as natural caves, canyons, and underground areas) and adverse weather conditions, the transmission of multimode signals (such as satellite signals, radio frequency signals, and infrared signals) is interfered with due to terrain obstruction and meteorological factors. For example, natural cave walls block direct satellite signals, canyon walls reflect radio frequency signals, creating multipath interference, heavy rain absorbs infrared signal energy, and dense fog weakens the penetration of radio frequency signals. Due to complex terrain and meteorological interference, multimode signals may be attenuated or distorted. Consequently, the positioning calculation of multimode transceivers based on attenuated or distorted multimode signals may lead to inaccurate position coordinate data. When infrared remote control commands (such as drone landing guidance) are executed based on inaccurate positioning data, recognition errors or response delays may occur, ultimately resulting in low control accuracy of collaborative equipment (such as drones). Therefore, there is a problem of low accuracy in multimode transceiver positioning and collaborative equipment control. Summary of the Invention

[0008] To address the low accuracy of multimode signal transceiver positioning and coordinated device control in existing technologies, this invention provides a method and apparatus for integrating multimode signal transceiver and infrared remote control in complex environments. The technical solution is as follows:

[0009] On the one hand, a method for integrating multi-mode signal transceiver and infrared remote control in complex environments is provided. This method includes: during multi-mode signal transceiver and infrared remote control, performing a multi-mode signal interference characteristic impact analysis to assess the impact of the complex environment on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing; determining whether multi-mode signal attenuation and distortion characteristic analysis is needed based on the obtained multi-mode signal interference characteristic impact analysis results; if the multi-mode signal interference characteristic impact analysis is satisfactory, then positioning accuracy is assessed; otherwise, multi-mode signal attenuation and distortion characteristic analysis is performed; and determining whether multi-mode signal enhancement is needed based on the obtained multi-mode signal attenuation and distortion characteristic analysis results. Multi-mode signal enhancement is used to improve the transmission stability and information parsing integrity of multi-mode signals under complex environmental conditions. After the multimode signal attenuation and distortion characteristic analysis is passed, a positioning accuracy assessment is performed to evaluate whether the positioning accuracy of the multimode signal transceiver meets the preset operating requirements. Based on the obtained positioning accuracy assessment results, it is determined whether multimode fusion positioning is needed. Multimode fusion positioning is used to reduce positioning deviation caused by single signal attenuation to improve positioning accuracy in complex terrain. After the positioning accuracy assessment is passed, a control command response accuracy analysis is performed to evaluate whether the response deviation of infrared remote control commands from the infrared transmitter to the receiving, parsing, and execution of the collaborative device meets the actual requirements. Based on the obtained control command response accuracy analysis results, it is determined whether infrared remote control command compensation is needed. Infrared remote control command compensation is used to correct the positioning offset of the collaborative device to ensure that the collaborative device executes the commands accurately.

[0010] On the other hand, a complex environment multi-mode signal transceiver and infrared remote control integrated device is provided. This device applies a complex environment multi-mode signal transceiver and infrared remote control integrated method. The device includes: a control signal transmitting bionic handle, indicator lights, a signal transceiver component, operation buttons, a microphone component, and other components. The control signal transmitting bionic handle includes a fixed wheel on the outer wall of the signal transceiver and remote control body, and a bionic operation handle connected to the outer wall of the fixed wheel, for the user to hold and operate the signal transceiver and remote control device. The signal transceiver component includes an infrared transmitter and a high-power radio frequency transmitting antenna, for transmitting infrared and radio frequency signals, and simultaneously receiving corresponding signals from external feedback. The indicator lights include an indicator light group and a power indicator light, for providing feedback on signal status or power status. The operation buttons include a multi-function numeric keypad, function keys, and directional operation keys, for the user to input digital commands, select function modes, and control the direction of the cooperating device. The start buttons include a power button and a microphone power button, for starting the main power of the multi-mode signal transceiver and activating the microphone function. The microphone component represents a high-power speaker and a microphone, for collecting user voice commands and playing the received voice information through the speaker.

[0011] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0012] 1. By conducting multi-mode signal interference characteristic impact analysis to assess the influence of complex environments on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing, the results of the multi-mode signal interference characteristic impact analysis are used to determine whether multi-mode signal attenuation and distortion characteristic analysis is necessary. This helps to identify the degree of interference from complex environments on multi-mode signals in advance, avoiding the waste of resources caused by blindly conducting subsequent analyses and reducing signal transmission anomalies caused by untimely handling of interference from complex environments. If the multi-mode signal interference characteristic impact analysis is satisfactory, positioning accuracy assessment is performed; otherwise, multi-mode signal attenuation and distortion characteristic analysis is performed to determine whether multi-mode signal enhancement is necessary. This helps to ensure efficiency by directly entering the positioning accuracy assessment stage when the multi-mode signal interference characteristic impact analysis is satisfactory. When the multi-mode signal interference characteristic impact analysis is unsatisfactory, improving signal transmission stability and parsing integrity in complex environments reduces the incidence of attenuated and distorted signals in the positioning accuracy assessment stage, thus preventing subsequent errors. Multi-mode signal enhancement is used for... To improve the transmission stability and information parsing integrity of multi-mode signals under complex environmental conditions, after the analysis of multi-mode signal attenuation and distortion characteristics is qualified, a positioning accuracy assessment is performed. Based on the obtained positioning accuracy assessment results, it is determined whether multi-mode fusion positioning is needed. This helps to reduce the positioning deviation caused by the attenuation of multi-mode fusion positioning signals, providing accurate coordinate data support for the subsequent execution of infrared remote control commands. Multi-mode fusion positioning is used to reduce the positioning deviation caused by the attenuation of a single signal to improve the positioning accuracy in complex terrain. After the positioning accuracy assessment is qualified, an analysis is performed to evaluate whether the response deviation of infrared remote control commands from the infrared transmitter to the receiving, parsing, and execution of the collaborative device meets the actual requirements of the control command response accuracy. Based on the obtained control command response accuracy analysis results, it is determined whether infrared remote control command compensation is needed. This helps to identify command response deviations in a timely manner, ensuring that the collaborative device can operate accurately according to the commands in complex environments. Infrared remote control command compensation is used to correct the positioning offset of the collaborative device to ensure that the collaborative device executes the commands accurately.

[0013] 2. By selectively choosing verification values ​​for direct satellite signal attenuation, radio frequency signal penetration, and infrared signal energy absorption as multi-dimensional interference parameters, we can comprehensively capture the different interference characteristics of satellite signal direct propagation, radio frequency signal penetration through obstacles, and infrared signal energy transmission under complex terrain and meteorological factors. Then, by harmonizing and averaging these multi-dimensional interference parameters, we can comprehensively consider the combined interference effects of these three types of parameters on multi-mode signal transmission, reducing bias caused by single-parameter evaluation. This makes the multi-mode signal characteristic impact assessment index more objectively reflect the degree of interference in multi-mode signal transmission under complex environments. It helps determine whether the multi-mode signal characteristic impact assessment index is less than the preset interference safety threshold, thus helping to address multi-mode signal transmission problems caused by different types of interference in complex environments. This achieves dynamic adaptation between interference handling strategies and multi-mode signal interference characteristics, reducing the problems of multi-mode transceiver positioning deviation and low control accuracy of collaborative equipment caused by inaccurate analysis of multi-mode signal interference characteristics.

[0014] 3. By selectively choosing satellite signal-to-noise ratio and infrared signal effectiveness coefficient as signal quality parameters, the key quality characteristics of multimode signals under complex terrain and meteorological interference can be comprehensively captured. The result of weighted coupling processing of the signal quality parameters and corresponding signal quality weight parameters is used as the multimode signal effectiveness evaluation index. This comprehensively considers the combined impact of the two types of parameters on the effectiveness of multimode signals, reducing the bias caused by single parameter evaluation. The multimode signal effectiveness evaluation index more objectively reflects whether the multimode signal meets the needs of collaborative equipment positioning calculation and infrared remote control command transmission in complex environments. It determines whether the multimode signal effectiveness evaluation index is greater than the preset signal effectiveness threshold, which helps to specifically solve the problem of multimode signal attenuation or distortion caused by complex terrain and meteorological interference. It realizes the dynamic adaptation of signal quality processing strategy and actual multimode signal quality characteristics, and reduces the problems of multimode signal transceiver positioning deviation and low accuracy of collaborative equipment infrared remote control caused by inaccurate analysis of multimode signal attenuation and distortion characteristics. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a method for integrating multi-mode signal transceiver and infrared remote control in complex environments, provided by an embodiment of the present invention.

[0017] Figure 2 This is a flowchart summarizing the general overview of a method for integrating multi-mode signal transceiver and infrared remote control in complex environments, as provided in this embodiment of the invention.

[0018] Figure 3 This is a schematic diagram of the multimode signal enhancement logic of a method for integrating multimode signal transceiver and infrared remote control in complex environments, provided by an embodiment of the present invention.

[0019] Figure 4 This is a front view of a three-dimensional structure of an integrated device for multi-mode signal transceiver and infrared remote control in complex environments, provided in an embodiment of the present invention.

[0020] Figure 5 This is a side view of the three-dimensional structure of an integrated device for multi-mode signal transceiver and infrared remote control in complex environments, provided in an embodiment of the present invention.

[0021] Figure 6 This is a schematic diagram of the back of a three-dimensional structure of an integrated device for multi-mode signal transceiver and infrared remote control in complex environments, provided in an embodiment of the present invention.

[0022] In the diagram: 1. Bionic handle for transmitting control signals; 101. Fixed wheel; 102. Bionic operating handle; 2. Indicator light group; 3. Infrared transmitter; 4. High-power radio frequency transmitting antenna; 5. Power button; 6. Microphone power button; 7. Enclosed battery compartment; 8. Multi-function digital keypad; 9. Function button; 10. Directional operation button; 11. High-power speaker and microphone; 12. Solar panel; 13. Handle fixing button; 14. Functional signal-power-debugging interface; 15. Power indicator light; 16. Fixed back clip; 17. Foldable stand. Detailed Implementation

[0023] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0024] like Figure 1 The diagram shown is a flowchart of a method for integrating multi-mode signal transceiver and infrared remote control in complex environments, provided by an embodiment of the present invention. Figure 1 It can be seen that: First, multi-mode signal interference characteristic monitoring is conducted during multi-mode signal transmission and reception and infrared remote control. This involves analyzing the impact of complex environments on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing. Based on the obtained multi-mode signal interference characteristic impact analysis results, it is determined whether multi-mode signal attenuation and distortion characteristic analysis is necessary. Multi-mode signal interference characteristic monitoring helps to identify in advance the degree of interference of complex environments (such as terrain obstruction, severe weather, etc.) on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing, accurately pinpointing the core of the signal problem, and providing high-precision signal data for subsequent multi-mode signal attenuation and distortion characteristic analysis, reducing resource waste caused by blindly carrying out subsequent operations.

[0025] Secondly, multi-mode signal attenuation and distortion characteristics are monitored. If the multi-mode signal interference characteristic impact analysis is satisfactory, the positioning accuracy is assessed; otherwise, multi-mode signal attenuation and distortion characteristics analysis is performed. Based on the obtained multi-mode signal attenuation and distortion characteristic analysis results, it is determined whether multi-mode signal enhancement is necessary. Multi-mode signal enhancement is used to improve the transmission stability and information resolution integrity of multi-mode signals under complex environmental conditions. Monitoring multi-mode signal attenuation and distortion characteristics helps to accurately locate multi-mode signal attenuation and distortion problems caused by complex environments when the multi-mode signal interference characteristic impact analysis is unsatisfactory. Targeted multi-mode signal enhancement measures can then be taken to improve signal quality, effectively ensuring the signal transmission stability and information resolution integrity required for subsequent positioning calculations.

[0026] Next, the positioning accuracy of the multimode transceiver is monitored. After the analysis of the multimode signal attenuation and distortion characteristics is qualified, a positioning accuracy assessment is performed to evaluate whether the positioning accuracy of the multimode transceiver meets the preset operational requirements. Based on the obtained positioning accuracy assessment results, it is determined whether multimode fusion positioning is required. Multimode fusion positioning is used to reduce the positioning deviation caused by the attenuation of a single signal, thereby improving the positioning accuracy in complex terrain. Monitoring the positioning accuracy of the multimode transceiver helps to evaluate the positioning accuracy of the multimode transceiver and to use multimode fusion positioning technology in a targeted manner to reduce the positioning deviation caused by the attenuation of a single signal, ensuring that the positioning results meet the operational requirements and providing a high-precision position coordinate basis for subsequent control command response accuracy analysis.

[0027] Finally, control command response accuracy monitoring is performed. After the positioning accuracy assessment is qualified, a control command response accuracy analysis is conducted to evaluate whether the response deviation from the infrared remote control command to the receiving, parsing, and execution of the collaborative device meets the actual requirements. Based on the obtained control command response accuracy analysis results, it is determined whether infrared remote control command compensation is needed. Infrared remote control command compensation is used to correct the positioning offset of collaborative devices (such as drones) to ensure that the collaborative devices execute commands accurately. Monitoring the accuracy of control command response helps to reduce operational errors caused by lag or deviation in infrared remote control command response, thereby ensuring that collaborative devices operate accurately according to commands in complex environments.

[0028] It should be noted that a database storing various preset data was established before the design of the integrated method for multi-mode signal transceiver and infrared remote control in complex environment provided in this application. The database includes, but is not limited to, preset interference safety threshold, preset satellite direct attenuation rate threshold, preset satellite signal strength value, preset radio frequency penetration loss threshold, preset radio frequency signal power value, etc., and the various preset values ​​are directly set by technicians.

[0029] In this embodiment, through the synergistic effect of monitoring multimode signal interference characteristics, monitoring multimode signal attenuation and distortion characteristics, monitoring the positioning accuracy of multimode signal transceivers, and monitoring the accuracy of control command responses, a coherent multimode signal transceiver and infrared remote control protection system for complex environments is constructed. This system ensures the stability and integrity of multimode signal transmission and the accuracy of multimode signal transceiver positioning, while also improving the accuracy of infrared remote control command responses and the reliability of collaborative device operation. It effectively solves problems such as inaccurate multimode signal transceiver positioning and low control accuracy of collaborative devices caused by interference in complex environments.

[0030] Specifically, multimode signal interference characteristic monitoring provides a basic basis for subsequent multimode signal attenuation and distortion characteristic monitoring and positioning accuracy assessment. If multimode signal interference characteristic monitoring is not accurately identified, it will lead to inaccurate results in subsequent multimode signal attenuation and distortion characteristic monitoring, thus affecting the overall signal processing effect. The results of multimode signal attenuation and distortion characteristic monitoring directly affect the input quality of multimode transceiver positioning accuracy monitoring. If the attenuation and distortion problem is not resolved or the signal enhancement is insufficient, the positioning assessment will be based on poor signal quality, resulting in positioning deviation. The results of multimode transceiver positioning accuracy monitoring also provide key coordinate support for control command response accuracy monitoring. If the positioning is inaccurate, even if the command response analysis is accurate, the coordinate deviation will cause positional shifts when the coordinated equipment executes the command, ultimately affecting the control accuracy.

[0031] like Figure 2 The diagram shown is a general overview flowchart of a method for integrating multi-mode signal transceiver and infrared remote control in complex environments, provided by an embodiment of the present invention. Figure 2It can be seen that during the multi-mode signal transmission and reception and infrared remote control process, the influence of multi-mode signal interference characteristics is analyzed and the multi-mode signal characteristic influence assessment index is obtained. It is then determined whether the multi-mode signal characteristic influence assessment index is less than a preset interference safety threshold. If so, the positioning accuracy is assessed; otherwise, the multi-mode signal attenuation and distortion characteristics are analyzed and the multi-mode signal effectiveness assessment index is obtained. It is then determined whether the multi-mode signal effectiveness assessment index is greater than a preset signal effectiveness threshold. If not, multi-mode signal enhancement is implemented; otherwise, the positioning accuracy is assessed and the positioning accuracy deviation index is obtained. It is then determined whether the positioning accuracy deviation index is less than a preset positioning accuracy threshold. If so, control is implemented. If the command response accuracy is not analyzed, multi-mode fusion positioning is adopted. After the multi-mode fusion positioning is completed, it is determined whether the positioning accuracy assessment is qualified. If not, a fusion positioning failure alarm is sent. Otherwise, control command response accuracy analysis is performed and command response accuracy assessment index is obtained. It is determined whether the command response accuracy assessment index is less than the preset response threshold. If so, the operation of the collaborative device is continued according to the original infrared remote control command. Otherwise, infrared remote control command compensation is adopted. After the infrared remote control command compensation is completed, it is determined whether the control command response accuracy analysis is qualified. If so, the operation of the collaborative device is continued according to the original infrared remote control command. Otherwise, a compensation adjustment failure alarm is sent.

[0032] Furthermore, the specific process of multi-mode signal interference characteristic impact analysis is as follows: Obtain multi-dimensional interference parameters, and use the harmonic averaging of the multi-dimensional interference parameters used to quantify the interference intensity of complex terrain and meteorological factors on multi-mode signal transmission as the multi-mode signal characteristic impact assessment index used to quantify the degree of interference of complex terrain and meteorological factors on multi-mode signal transmission; determine whether the multi-mode signal characteristic impact assessment index is less than the preset interference safety threshold. If so, perform positioning accuracy assessment; otherwise, perform multi-mode signal attenuation and distortion characteristic analysis. The preset interference safety threshold is represented by the average value of the multi-mode signal characteristic impact assessment index over a historical time period.

[0033] Specifically, the multi-dimensional interference parameters include the satellite signal direct attenuation verification value, the radio frequency signal penetration verification value, and the infrared signal energy absorption verification value. The satellite signal direct attenuation verification value is represented by the result of quantizing the ratio of the satellite signal direct attenuation rate and the preset satellite direct attenuation rate threshold during a preset signal propagation period, and then weighting it with the satellite direct attenuation rate weight influence value. This value reflects the severity of satellite signal attenuation caused by terrain obstruction or meteorological interference during direct propagation. The weighting process represents a product operation, the preset satellite direct attenuation rate threshold is represented by the average value of the satellite signal direct attenuation rate over a historical period, and the ratio quantization represents a ratio operation. The preset signal propagation... The broadcast time period represents the time period for analyzing the impact of multimode signal interference characteristics. The satellite signal direct attenuation rate is represented by the deviation quantization between the preset satellite signal strength value and the actual received satellite signal strength value when the preset satellite signal strength value is greater than the actual received satellite signal strength value during the preset signal propagation time period. The result of the deviation quantization is represented by the ratio quantization of the preset satellite signal strength value and the actual received satellite signal strength value. The deviation quantization means performing a difference calculation. The actual received satellite signal strength value is represented by the average value of the peak satellite signal strength monitored by the signal peak detector on the satellite signal receiving module during the preset signal propagation time period. The preset satellite signal strength value is represented by the average value of the satellite signal strength values ​​over a historical time period.

[0034] Specifically, the RF signal penetration verification value is represented by the ratio of the RF signal penetration loss deviation value to the preset RF penetration loss threshold over a preset signal propagation time period, and then weighted by the RF penetration loss weight influence value. This value reflects the severity of energy loss caused by medium absorption or reflection when the RF signal penetrates an obstacle. The preset RF penetration loss threshold is represented by the average value of the RF signal penetration loss deviation value over a historical time period. The RF signal penetration loss deviation value is represented by the result of quantifying the deviation between the preset RF signal power value and the actual received RF signal power value when the preset RF signal power value is greater than the actual received RF signal power value over the preset signal propagation time period. The preset RF signal power value is represented by the average value of the RF signal power value over a historical time period. The RF signal power value is represented by the average value of the real-time RF signal power value monitored by the RF power meter over the preset signal propagation time period.

[0035] Specifically, the infrared signal energy absorption verification value is represented by the result of quantifying the ratio of the infrared signal energy absorption coefficient to the preset infrared energy absorption threshold over a preset signal propagation time period, and then weighting it with the weighted influence value of the infrared energy absorption coefficient. This value reflects the severity of energy attenuation caused by the absorption of infrared signals by air or dust particles during propagation. The preset infrared energy absorption threshold is represented by the average value of the infrared signal energy absorption coefficient over a historical time period. The infrared signal energy absorption coefficient is represented by quantifying the ratio of the preset infrared signal energy to the actual received infrared signal energy. The infrared signal energy is represented by the product of the average power of the infrared signal collected by the infrared signal receiver during the preset signal propagation time period and the duration of the preset signal propagation time period. The average infrared signal power is represented by the arithmetic mean of the real-time power values ​​of the infrared signal monitored by the infrared power sensor during the preset signal propagation time period.

[0036] It should be noted that the multimode signal interference characteristic influence analysis, multimode signal attenuation and distortion characteristic analysis and multipath radio frequency signal adaptive selection provided in this application involve multiple sets of mappings between weight parameters and preset thresholds used to quantify the degree of influence of each parameter on the corresponding evaluation results. These mapping sets together constitute mapping groups, which are pre-set by professional technicians and stored in a database to provide a basis for matching weight coefficients for multi-dimensional interference parameters, signal quality parameters and multipath propagation characteristic parameters.

[0037] Specifically, for example, first extract a large amount of historical scenario data on multimode signal transmission and reception and infrared remote control in complex environments (such as natural caves, canyons, and dense fog), covering parameter combinations for three core evaluation scenarios (such as the satellite signal direct attenuation rate, preset satellite direct attenuation rate threshold and corresponding satellite signal direct attenuation rate weight influence value in the multimode signal interference characteristic impact analysis scenario; the radio frequency signal penetration loss deviation value, preset radio frequency penetration loss threshold and corresponding radio frequency signal penetration loss weight influence value; the infrared signal energy absorption coefficient, preset infrared energy absorption threshold and corresponding infrared signal energy absorption coefficient weight influence value; the satellite signal signal-to-noise ratio, infrared signal effectiveness coefficient and corresponding signal quality weight parameter combination in the multimode signal attenuation and distortion characteristic analysis scenario; and the multipath radio frequency signal adaptive selection scenario). This involves combining the propagation delay of radio frequency (RF) multipath signals, the amplitude attenuation of RF multipath signals, the multimode signal effectiveness evaluation index, and the corresponding multipath propagation characteristic weight parameters. For each scenario, the input parameters are assigned weighted quantification values ​​based on their influence on the corresponding evaluation results (multimode signal characteristic impact evaluation index, multimode signal effectiveness evaluation index, and RF multipath signal characteristic evaluation value). The actual effective values ​​of the influence values ​​of satellite signal direct attenuation rate, RF signal penetration loss, infrared signal energy absorption coefficient, satellite signal-to-noise ratio, infrared signal effectiveness coefficient, RF multipath signal propagation delay, RF multipath signal amplitude attenuation, and multimode signal effectiveness evaluation index are recorded simultaneously for each historical scenario. These values ​​are then analyzed using correlation analysis (e.g., Kendal). (e.g., l-rank correlation coefficient analysis) to eliminate abnormal correlation data caused by sudden interference in complex environments (such as sudden rainstorms), temporary failures of signal transceiver equipment (such as fluctuations in infrared receiver sensitivity), and temporary adaptation deviations of signal processing algorithms. Statistically significant parameter combinations and their corresponding weight coefficients are retained. Finally, all valid data are integrated to form a mapping group containing multiple mapping sets. The mapping relationship uses a 0-1 value range to represent the weight coefficient percentage, achieving a one-to-one or many-to-one match between input parameter combinations and corresponding weight coefficients under different evaluation scenarios. When the system performs multimode signal interference characteristic influence analysis, multimode signal attenuation and distortion characteristic analysis, and multipath RF signal adaptive selection, the corresponding weight coefficients can be quickly retrieved from this mapping group to accurately quantify the influence of each parameter on the evaluation results, ensuring the accuracy and reliability of the multimode signal characteristic influence evaluation index, multimode signal effectiveness evaluation index, and RF multipath signal characteristic evaluation value.

[0038] In this embodiment, by analyzing the impact of multimode signal interference characteristics, the degree of interference to multimode signals can be accurately quantified in complex environments, ensuring the objectivity and reliability of the analysis. This reduces the waste of resources caused by blindly performing attenuation processing when the impact of multimode signal interference characteristics is small, and can also trigger subsequent analysis of multimode signal attenuation and distortion characteristics in a timely manner when the multimode signal interference is severe. This reduces problems such as positioning coordinate calculation deviation and infrared remote control command response lag caused by the impact of multimode signal interference characteristics from the source, and ultimately provides a front-end interference prevention and control guarantee for the accuracy of multimode signal transmission and reception and coordinated equipment control.

[0039] Further, the specific process of multimode signal attenuation and distortion characteristic analysis is as follows: Signal quality parameters are acquired. The result of weighted coupling processing of the signal quality parameters and their corresponding signal quality weight parameters is used as a multimode signal effectiveness evaluation index to assess the impact of multimode signal attenuation or distortion caused by complex terrain and meteorological interference on signal effectiveness. Weighted coupling processing involves multiplication and addition operations. The signal quality weight parameters include the satellite signal-to-noise ratio (SNR) weight influence value and the infrared signal effectiveness coefficient weight influence value, reflecting the contribution of the satellite signal SNR and the infrared signal effectiveness coefficient to the multimode signal effectiveness evaluation index. It is then determined whether the multimode signal effectiveness evaluation index is greater than a preset signal effectiveness threshold. If so, the multimode signal is marked as a qualified multimode signal, and positioning accuracy is evaluated. Otherwise, multimode signal enhancement is implemented. The preset signal effectiveness threshold is represented by the average value of the multimode signal effectiveness evaluation index over a historical time period. The signal quality parameters include the satellite signal-to-noise ratio and... The infrared signal effectiveness coefficient is used to evaluate the transmission stability, effective information ratio, and reliable carrying capacity of satellite and infrared signals. The satellite signal-to-noise ratio (SNR) is represented by the ratio of the effective information strength of the actually received satellite signal to the background noise intensity. The effective information strength of the satellite signal is represented by the arithmetic mean of the peak intensity of the satellite signal collected by the satellite signal receiving module after pulse interference is removed by the bandpass filter unit. The background noise intensity is represented by the average intensity of the environmental electromagnetic noise and the module's own thermal noise collected by the satellite signal receiving module during the gaps in the transmission of no effective satellite signal. The infrared signal effectiveness coefficient is represented by the ratio of the number of effective infrared remote control command bytes successfully parsed by the infrared signal receiver to the total number of original infrared remote control command bytes sent by the infrared transmitter. The number of effective infrared remote control command bytes is represented by the total number of infrared remote control command bytes confirmed by the receiver's infrared signal parsing module in conjunction with preset verification technology to be without bit errors, frame drops, or redundancy.

[0040] In this embodiment, by analyzing the attenuation and distortion characteristics of multimode signals, the actual impact of multimode signal attenuation or distortion caused by complex terrain and weather interference on signal effectiveness can be accurately identified. Qualified signals can directly provide stable and reliable signal input for subsequent positioning accuracy assessment, reducing positioning deviations caused by attenuation and distortion signals. Qualified signals can improve signal transmission stability and information parsing integrity through multimode signal enhancement, providing highly accurate signal data for the precise positioning of multimode transceivers and the precise operation of infrared remote control commands, reducing control errors of collaborative equipment caused by signal attenuation and distortion.

[0041] like Figure 3 The diagram shown is a schematic representation of the multi-mode signal enhancement logic of a multi-mode signal transceiver and infrared remote control integration method for complex environments provided in an embodiment of the present invention. Figure 3 It can be seen that: multi-mode signal enhancement involves sequentially performing dynamic adjustment of infrared transmission power and adaptive selection of multipath radio frequency signals. After the dynamic adjustment of infrared transmission power is completed, it is determined whether the multi-mode signal effectiveness evaluation index is greater than the preset signal effectiveness threshold. If so, a positioning accuracy assessment is performed; otherwise, adaptive selection of multipath radio frequency signals is adopted, and the characteristic evaluation value of the radio frequency multipath signal is obtained. It is then determined whether the characteristic evaluation value of the radio frequency multipath signal is less than the preset multipath signal characteristic threshold. If so, the corresponding radio frequency multipath signal is marked as a qualified radio frequency signal; otherwise, the corresponding radio frequency multipath signal is marked as a multipath interference signal, and the multipath interference signal is eliminated based on the minimum mean square error multipath interference suppression algorithm. After the adaptive selection of multipath radio frequency signals is completed, the multi-mode signal effectiveness evaluation index is re-obtained, and it is determined whether the multi-mode signal effectiveness evaluation index is greater than the preset signal effectiveness threshold. If so, a positioning accuracy assessment is performed; otherwise, a radio frequency signal selection failure alarm is sent.

[0042] Furthermore, the multi-mode signal enhancement process sequentially compensates for infrared signal energy attenuation caused by complex terrain and meteorological factors, dynamically adjusts infrared transmission power to ensure complete transmission of infrared remote control commands, and adaptively selects multipath radio frequency signals to screen effective radio frequency signals in complex terrain and eliminate multipath interference signals to ensure the accuracy of positioning data. The specific process of dynamic infrared transmission power adjustment is as follows: the multi-mode signal effectiveness evaluation index and the multi-mode signal characteristic influence evaluation index are input into the infrared transmission power adjustment parameter mapping set to obtain the infrared transmission power adjustment coefficient; the power increase corresponding to the infrared transmission power adjustment coefficient is used as the adjustment step size to gradually increase the output power of the infrared transmitter (after each adjustment of the infrared transmitter output power, the multi-mode signal effectiveness evaluation index is recalculated; if the multi-mode signal effectiveness evaluation index is still not greater than the preset signal effectiveness threshold, the adjusted infrared transmitter output power is used as the initial value for the next adjustment). Continuing to gradually increase and adjust the power helps avoid energy waste and overheating risks in multimode transceivers caused by a one-time large increase in power, and also avoids adjacent channel signal interference caused by excessive power, thus improving the reliable transmission capability of infrared signals in complex environments. Continuously monitoring the multimode signal effectiveness evaluation index, when the multimode signal effectiveness evaluation index is greater than the preset signal effectiveness threshold, the corresponding infrared signal is marked as a qualified infrared signal and its positioning accuracy is evaluated; otherwise, dynamic adjustment of the infrared transmission power continues. When the number of dynamic adjustments of the infrared transmission power exceeds the preset maximum number of power adjustments, if the multimode signal effectiveness evaluation index is still not greater than the preset signal effectiveness threshold, adaptive selection of multipath radio frequency signals is adopted. The preset maximum number of power adjustments is set in advance by a designated person. The output power of the infrared transmitter is not greater than the preset maximum output power of the infrared transmitter, which is also set in advance by a designated person.

[0043] Specifically, the adaptive selection process for multipath RF signals is as follows: First, multipath propagation characteristic parameters are obtained to quantify the multipath propagation characteristics of the RF signal. These parameters include the RF multipath signal propagation delay, RF multipath signal amplitude attenuation, and multimode signal effectiveness evaluation coefficient. The RF multipath signal propagation delay is represented by the deviation quantized between the arrival time of the multipath signal acquired by the RF signal receiver and the arrival time of a preset RF signal. The preset RF signal represents the earliest captured RF signal with the strongest average peak power during the preset signal propagation period. The multipath signal arrival time represents the start time of the multipath signal detected by the RF signal detection module at the receiver. The average peak power is represented by the average peak power of the signal monitored by the RF power meter. The RF multipath signal amplitude attenuation is represented by the ratio of the average peak power of the multipath signal acquired by the RF signal receiver to the average peak power of the preset RF signal. The average peak power of the multipath signal is represented by the average peak power of the multipath signal monitored by the RF power meter. The multimode signal effectiveness evaluation coefficient is represented by the reciprocal of the multimode signal effectiveness evaluation index, which is not greater than the multimode signal effectiveness evaluation index. The multipath signal propagation delay is then calculated by... The result of weighted coupling processing of propagation characteristic parameters and corresponding multipath propagation characteristic weight parameters is used as the RF multipath signal characteristic evaluation value. The multipath propagation characteristic weight parameters include the RF multipath signal propagation delay weight influence value, the RF multipath signal amplitude attenuation weight influence value, and the multimode signal effectiveness evaluation index weight influence value, reflecting the contribution of the corresponding multipath propagation characteristic parameters to the RF multipath signal characteristic evaluation value. Discrimination between main signal and multipath interference signal: When the RF multipath signal characteristic evaluation value is less than a preset multipath signal characteristic threshold, the corresponding RF multipath signal is marked as a qualified RF signal; otherwise... If the corresponding radio frequency multipath signal is marked as a multipath interference signal, the multipath interference signal will be removed based on the minimum mean square error multipath interference suppression algorithm. The preset multipath signal feature threshold is represented by the average value of the radio frequency multipath signal feature evaluation value over a historical time period. After the adaptive selection of multipath radio frequency signals is completed, the multimode signal effectiveness evaluation index is reacquired. If the multimode signal effectiveness evaluation index is still not less than the preset signal effectiveness threshold, a radio frequency signal selection failure alarm is sent. Otherwise, a positioning accuracy evaluation is performed. Qualified multimode signals include qualified infrared signals and qualified radio frequency signals.

[0044] It should be noted that the method for integrating multi-mode signal transmission and reception and infrared remote control in complex environments provided in this application has been designed in advance by constructing a mapping set that associates multi-dimensional multi-mode signal parameters with corresponding output results. This mapping set is configured in advance by designated personnel and stored in a database. Its core function is to reflect the precise correspondence between the input parameters related to infrared transmission power adjustment and infrared guidance angle correction under complex terrain and weather conditions, and the coefficients and correction values ​​required for each adjustment link. This provides a decision support basis that can be directly queried and called for dynamic adjustment of infrared transmission power and compensation of infrared remote control commands.

[0045] Specifically, the formation of the infrared transmit power adjustment parameter mapping set and the infrared guidance angle correction set was gradually completed based on the statistical analysis and parameter verification of historical scenarios of multi-mode signal transmission and reception, infrared remote control, and collaborative equipment operation in complex environments. This involved extracting a large amount of specific combination data of input parameters and output results required by the two types of mapping carriers in actual scenarios (such as the combination of multi-mode signal effectiveness evaluation indicators, multi-mode signal characteristic influence evaluation index, and corresponding infrared transmit power adjustment coefficients required for the infrared transmit power adjustment parameter mapping set; and the command response accuracy evaluation indicators, current attitude angles of the UAV (such as pitch angle and roll angle), and...). The system generates a set of infrared emission power adjustment parameters and an infrared guidance angle correction set. It assigns a weight to each type of input parameter based on its influence on the output results (adjustment coefficient, correction value), and records the actual effective parameter matching results in each historical scenario. Then, it uses correlation analysis (such as Pearson correlation coefficient analysis) to filter out abnormal correlation information caused by temporary equipment failures or sudden environmental interference, retains the correspondence between statistically significant input parameter combinations and output results, and finally integrates all effective information to form an infrared emission power adjustment parameter mapping set and an infrared guidance angle correction set that can be directly queried and have the corresponding output results obtained through input parameters.

[0046] In this embodiment, multimode signal enhancement reduces energy waste and hardware risks while specifically compensating for infrared signal energy attenuation, ensuring the complete transmission of infrared remote control commands. It also reduces radio frequency multipath interference caused by complex terrain such as canyon reflections and cave wall obstructions, providing accurate signal support for positioning data. This achieves differentiated processing of different types of multimode signal problems, ensuring that even when a single signal enhancement method fails, signal quality can still be improved through adaptive selection of multipath radio frequency signals. Ultimately, it provides qualified multimode signal input for subsequent positioning accuracy assessment, enhancing the adaptability, reliability, and stability of multimode signal transmission and reception and infrared remote control in complex environments.

[0047] Furthermore, the specific process for evaluating positioning accuracy is as follows: Obtaining a positioning accuracy deviation index to assess the impact of attenuated or distorted signals on the positioning calculation accuracy of the multimode transceiver: The positioning accuracy deviation index is represented by quantifying the deviation between the total number of qualified radio frequency signal transmission positioning data frames monitored by the radio frequency signal data frame detector and the total number of validly transmitted positioning data frames in the qualified radio frequency signals. Validly transmitted positioning data frames in the qualified radio frequency signals are represented by qualified radio frequency signal data frames confirmed by the receiver data verification module to have no bit errors, no frame drops, and no redundant data. Positioning accuracy judgment: When the positioning accuracy deviation index is less than a preset positioning accuracy threshold, control command response accuracy analysis is performed; otherwise, multimode fusion positioning is adopted. The preset positioning accuracy threshold is represented by the average value of the positioning accuracy deviation index over a historical time period.

[0048] Specifically, the multi-mode fusion positioning process is as follows: A multi-mode transceiver perimeter search operation is performed. This operation involves using a millimeter-wave detection function based on an RF antenna to search for other active multi-mode transceivers in the vicinity and simultaneously acquire their operational status. When a preset number of multi-mode transceivers is found (e.g., 3), a satellite signal strength assessment is performed. This assessment evaluates the satellite signal strength received by each surrounding multi-mode transceiver. Specifically, if the monitored multi-mode signal characteristic influence evaluation index is not less than a preset interference safety threshold, then the corresponding... The multimode transceiver is identified as a weak signal transceiver and a communication connection is established. The preset number of transceivers is pre-set by designated personnel. This communication connection, based on ultra-wideband radio frequency communication technology, establishes a connection between the multimode transceiver and surrounding multimode transceivers, forming a triangular relay positioning network. This helps compensate for positioning blind spots caused by weak satellite signals from a single transceiver and performs multimode transceiver fusion positioning calculations. The specific process for establishing this connection is as follows: first, ultra-wideband parameters such as frequency band and protocol are configured for both master and slave multimode transceivers; then, millimeter-wave detection is used... Potential nodes are screened, and at least three core multimode transceivers are identified through ultra-wideband broadcast response. Then, bidirectional handshake synchronization and data transmission testing are performed to verify the link. Finally, a triangular relay positioning network is constructed with the master multimode transceiver at the center and the slave multimode transceivers at the vertices. When the monitored multimode signal characteristic impact assessment index is less than a preset interference safety threshold, the corresponding multimode transceiver is identified as a strong signal multimode transceiver. Based on the satellite signals received by the strong signal multimode transceiver and its own positioning module, precise positioning calculation is performed to obtain the fused coordinates of the multimode transceiver. The specific process of precise positioning calculation is as follows: The positioning module of the strong signal multimode transceiver receives strong signal signals... The satellite pseudorange, carrier phase, and other data transmitted by the transceiver are combined with the satellite signals collected by the transceiver itself. The satellite navigation equations are solved using the least squares method to eliminate errors such as clock bias and ionospheric delay, resulting in real-time three-dimensional coordinates. These coordinates are then fused and calibrated with the coordinates of the strong signal transceiver to obtain the fused coordinates of the multimode transceiver. The multimode transceiver fusion positioning calculation is based on the distance data between each multimode transceiver transmitted with qualified radio frequency signals. A Cartesian coordinate system is established with the surrounding multimode transceivers as vertices. The relative distances between the surrounding multimode transceivers are used as the side lengths. The relative coordinates of the current multimode transceiver in this coordinate system are calculated based on the triangulation formula to obtain the fused coordinates of the multimode transceiver.Multi-mode fusion positioning effectiveness verification: After multi-mode fusion positioning is completed, the positioning accuracy deviation index is reacquired. If the positioning accuracy deviation index is still not less than the preset positioning accuracy deviation threshold, a fusion positioning failure alarm is sent; otherwise, an analysis of the accuracy of control command response is performed.

[0049] In this embodiment, by evaluating positioning accuracy and using multi-mode fusion positioning, the positioning deviation problem of multi-mode transceivers caused by interference in complex environments is effectively solved, ensuring that the positioning results always meet the preset accuracy requirements. This provides accurate coordinate support for subsequent control command response accuracy analysis, reduces errors in the execution of commands by collaborative devices caused by positioning deviations, and improves the positioning stability and reliability of multi-mode transceivers in complex terrain.

[0050] Furthermore, the specific process of analyzing the accuracy of control command response is as follows: Obtain a command response accuracy evaluation index to assess the impact of positioning errors and signal delays on the guidance of collaborative devices (such as drones) and the execution of infrared remote control commands; the command response accuracy evaluation index is represented by the ratio of the spatial Euclidean distance difference between the actual positioning coordinates and the target coordinates of the infrared remote control command to a preset positioning deviation value. The actual positioning coordinates represent the current real-time three-dimensional coordinates of the collaborative device calculated by the multi-mode fusion positioning module, and the target coordinates of the infrared remote control command represent the target three-dimensional coordinates of the drone reaching or performing the action in the infrared remote control command. The preset positioning deviation value is set in advance by preset personnel; determine whether the command response accuracy evaluation index is less than a preset response threshold. If so, continue to execute the operation of the collaborative device according to the original infrared remote control command; otherwise, take infrared remote control command compensation measures. The preset response threshold is represented by the average value of the command response accuracy evaluation index over a historical time period.

[0051] Specifically, the infrared remote control command compensation process is as follows: The command response accuracy evaluation index and the UAV's current attitude angle are input into the infrared guidance angle correction set to obtain the infrared guidance angle correction value. Here, the UAV's current attitude angle represents the real-time pitch angle, roll angle, and yaw angle monitored by the UAV's attitude sensor. Using the magnitude corresponding to the infrared guidance angle correction value as the adjustment step size, the infrared guidance angle is adjusted step-by-step in the direction that reduces the command response accuracy evaluation index. (After each infrared guidance angle adjustment, the command response accuracy evaluation index is recalculated. If the command response accuracy evaluation index is still not less than the preset response threshold, the adjusted infrared guidance angle is used as the initial value for the next adjustment, continuing to adjust step-by-step in the direction that reduces the command response accuracy evaluation index.) This system helps avoid the risk of sudden attitude changes, flight swaying, or even loss of control of collaborative equipment (such as drones) caused by a one-time large adjustment of the guidance angle. At the same time, by gradually adapting in small steps, it accurately approaches the optimal guidance angle, improving the stability and accuracy of infrared remote control commands for the attitude control of collaborative equipment. It continuously monitors the command response accuracy evaluation index. When the command response accuracy evaluation index is less than the preset response threshold, the operation of the collaborative equipment continues to be executed according to the original infrared remote control command. Otherwise, infrared remote control command compensation continues to be executed. When the number of infrared remote control command compensation adjustments exceeds the preset maximum number of compensation adjustments, if the command response accuracy evaluation index is still not less than the preset response threshold, a compensation adjustment failure alarm is sent. The preset maximum number of compensation adjustments is set in advance by a preset person.

[0052] In this embodiment, by analyzing the accuracy of control command response and compensating for infrared remote control commands, operational errors of collaborative devices caused by accumulated deviations are reduced. This effectively solves the problem of low accuracy in positioning of multi-mode signal transceivers and control of collaborative devices due to complex terrain and weather interference. It provides key support for collaborative devices such as drones to accurately execute infrared remote control commands in complex scenarios, and improves the control reliability of multi-mode signal remote control systems and the operational safety of collaborative devices.

[0053] like Figure 4 The image shown is a front view of the three-dimensional structure of an integrated device for multi-mode signal transceiver and infrared remote control in complex environments, provided in an embodiment of the present invention. Figure 5 The image shown is a side view of the three-dimensional structure of an integrated device for multi-mode signal transceiver and infrared remote control in complex environments, provided in an embodiment of the present invention. Figure 6The diagram shown is a rear view of a three-dimensional structure of a complex environment multi-mode signal transceiver and infrared remote control integrated device provided in an embodiment of the present invention. This complex environment multi-mode signal transceiver and infrared remote control integrated device is applied to a complex environment multi-mode signal transceiver and infrared remote control integrated method, including: a control signal transmitting bionic handle, an indicator light, a signal transceiver component, operation buttons, a microphone component, and other components. The control signal transmitting bionic handle 1 includes a fixed wheel 101 fixed to the outer wall of the signal transceiver device and the remote control body, and a bionic operating handle 102 connected to the outer wall of the fixed wheel 101, for the user to hold and operate the signal transceiver and remote control device. The signal transceiver component includes an infrared transmitter 3 and a high-power radio frequency transmitting antenna 4, for transmitting infrared signals and radio frequency signals. The transceiver includes a signal and receives corresponding external feedback signals. Indicator lights include indicator light group 2 and power indicator light 15, used to provide feedback on signal or power status. Operation buttons include a multi-function numeric keypad 8, function keys 9, and directional operation keys 10, used for users to input digital commands, select function modes, and control the direction of the cooperating device. Start buttons include a power button 5 and a microphone power button 6, used to start the main power supply of the multi-mode transceiver and activate the microphone function. The microphone component represents a high-power speaker and microphone 11, used to collect user voice commands and play the received voice information through the speaker. Other components include a sealed battery compartment 7, a solar panel 12, a handle fixing button 13, a functional signal-power-debugging interface 14, a fixed back clip 16, and a foldable stand 17.

[0054] In this embodiment, the user of the multi-mode signal transceiver and infrared remote control receiver uses the enclosed battery compartment 7 for main power supply. The solar panel 12 can supplement power outdoors. After pressing the power button 5 to start the device, the power indicator light 15 illuminates to show the current power status. Simultaneously, the fixed back clip 16 facilitates the user's attachment of the multi-mode signal transceiver and infrared remote control receiver to their equipment for carrying. For stable deployment, the foldable bracket 17 can be unfolded to ensure the device's stability. Next, the user holds the bionic handle 1 for controlling the signal transmission, using the fixing wheel 101 to maintain the connection stability between the handle and the main body of the multi-mode signal transceiver and infrared remote control receiver. Pressing the handle fixing button 13 locks the position of the bionic operating handle 102 to prevent displacement during operation. In the signal transceiver stage, high-power radio frequency... The transmitting antenna 4 is responsible for receiving satellite signals or communicating with other devices via radio frequency. The indicator light group 2 provides real-time feedback on the signal status. If voice interaction is required, pressing the microphone power button 6 will activate the high-power speaker and microphone 11 to enable voice transmission with the command center. In the infrared remote control section, the user can perform other operations using the directional operation button 10, the multi-function digital button 8, and the function button 9. Based on the operation, the infrared transmitter 3 will emit infrared signals of a specific frequency to precisely remotely control collaborative devices (such as drones). In addition, the functional signal-power-debugging interface 14 is a comprehensive interface in the multimode transceiver used to realize signal transmission, power supply, and debugging functions. It can be used to connect debugging tools during equipment maintenance to update firmware or troubleshoot faults.

[0055] In summary, by conducting multi-mode signal interference characteristic impact analysis to assess the influence of complex environments on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing, and based on the obtained multi-mode signal interference characteristic impact analysis results to determine whether multi-mode signal attenuation and distortion characteristic analysis is necessary, it helps to identify the degree of interference of complex environments on multi-mode signals in advance, avoid blindly conducting subsequent analyses and wasting resources, and reduce signal transmission anomalies caused by untimely handling of interference from complex environments. If the multi-mode signal interference characteristic impact analysis is satisfactory, then positioning accuracy assessment is performed; otherwise, multi-mode signal attenuation and distortion characteristic analysis is performed to determine whether multi-mode signal enhancement is necessary. This helps to ensure efficiency by directly entering the positioning accuracy assessment stage when the multi-mode signal interference characteristic impact analysis is satisfactory, and to improve signal transmission stability and parsing integrity in complex environments when the multi-mode signal interference characteristic impact analysis is unsatisfactory, reducing the incidence of attenuated and distorted signals in the positioning accuracy assessment stage and preventing subsequent errors. Multi-mode signal enhancement is used... To improve the transmission stability and information parsing integrity of multi-mode signals under complex environmental conditions, after the multi-mode signal attenuation and distortion characteristics analysis is qualified, a positioning accuracy assessment is performed. Based on the obtained positioning accuracy assessment results, it is determined whether multi-mode fusion positioning is needed. This helps reduce the positioning deviation caused by the attenuation of multi-mode fusion positioning signals, providing accurate coordinate data support for the subsequent execution of infrared remote control commands. Multi-mode fusion positioning is used to reduce the positioning deviation caused by the attenuation of a single signal to improve the positioning accuracy in complex terrain. After the positioning accuracy assessment is qualified, an analysis is performed to evaluate whether the response deviation of the infrared remote control command from the infrared transmitter to the receiving, parsing, and execution of the collaborative device meets the actual requirements of the control command response accuracy analysis. Based on the obtained control command response accuracy analysis results, it is determined whether infrared remote control command compensation is needed. This helps to identify command response deviations in a timely manner, ensuring that the collaborative device can operate accurately according to the command in complex environments. Infrared remote control command compensation is used to correct the positioning offset of the collaborative device to ensure that the collaborative device executes the command accurately.

[0056] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for integrating multi-mode signal transceiver and infrared remote control in complex environments, characterized in that, The method includes: During multi-mode signal transmission and infrared remote control, multi-mode signal interference characteristic impact analysis is performed to assess the impact of complex environment on the integrity of multi-mode signal transmission and the accuracy of infrared remote control command parsing. Based on the obtained multi-mode signal interference characteristic impact analysis results, it is determined whether multi-mode signal attenuation and distortion characteristic analysis is required. If the multimode signal interference characteristic impact analysis is qualified, the positioning accuracy assessment is carried out; otherwise, the multimode signal attenuation and distortion characteristic analysis is carried out. Based on the obtained multimode signal attenuation and distortion characteristic analysis results, it is determined whether multimode signal enhancement is required. The multimode signal enhancement is used to improve the transmission stability and information parsing integrity of multimode signals under complex environmental conditions. After the multimode signal attenuation and distortion characteristics analysis is qualified, a positioning accuracy assessment is performed to evaluate whether the positioning accuracy of the multimode signal transceiver meets the preset operation requirements. Based on the obtained positioning accuracy assessment results, it is determined whether multimode fusion positioning is required. The multimode fusion positioning is used to reduce the positioning deviation caused by the attenuation of a single signal to improve the positioning accuracy in complex terrain. After the positioning accuracy assessment is qualified, an analysis is performed to evaluate whether the response deviation of the infrared remote control command from the infrared transmitter to the receiving, parsing and execution of the collaborative device meets the actual requirements of the control command response accuracy. Based on the obtained control command response accuracy analysis results, it is determined whether infrared remote control command compensation is required. The infrared remote control command compensation is used to correct the positioning offset of the collaborative device to ensure that the collaborative device executes the command accurately.

2. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 1, characterized in that, The specific process of analyzing the impact of multimode signal interference characteristics is as follows: Multi-dimensional interference parameters are obtained, and the result after harmonic averaging of the multi-dimensional interference parameters is used as an evaluation index for the multi-mode signal characteristics to quantify the degree of interference of complex terrain and meteorological factors on multi-mode signal transmission. Determine whether the multi-mode signal characteristic influence assessment index is less than the preset interference safety threshold. If so, perform a positioning accuracy assessment; otherwise, perform a multi-mode signal attenuation and distortion characteristic analysis. The multi-dimensional interference parameters include the satellite signal direct attenuation verification value, the radio frequency signal penetration verification value, and the infrared signal energy absorption verification value. The satellite signal direct attenuation verification value is represented by the result of quantifying the ratio of the satellite signal direct attenuation rate and the preset satellite direct attenuation rate threshold during a preset signal propagation time period, and then weighting it with the satellite direct attenuation rate weight influence value. It is used to reflect the severity of satellite signal attenuation caused by terrain obstruction or meteorological interference during direct propagation. The radio frequency signal penetration verification value is represented by the result of quantifying the ratio of the radio frequency signal penetration loss deviation value during a preset signal propagation time period to a preset radio frequency penetration loss threshold, and then weighting it with the radio frequency penetration loss weight influence value. It is used to reflect the severity of energy loss caused by medium absorption or reflection when the radio frequency signal penetrates an obstacle. The infrared signal energy absorption verification value is represented by the result of quantifying the ratio of the infrared signal energy absorption coefficient to the preset infrared energy absorption threshold during a preset signal propagation time period and weighting it with the infrared energy absorption coefficient weight influence value. It is used to reflect the severity of energy attenuation caused by the absorption of infrared signals by air medium or dust particles during propagation.

3. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 2, characterized in that, The specific process for analyzing the attenuation and distortion characteristics of the multimode signal is as follows: The signal quality parameters are obtained, and the result of weighted coupling of the signal quality parameters and the corresponding signal quality weight parameters is used as a multimode signal effectiveness evaluation index to assess the impact of multimode signal attenuation or distortion caused by complex terrain and meteorological interference on signal effectiveness. If the multi-mode signal validity assessment index is greater than the preset signal validity threshold, the multi-mode signal is marked as a qualified multi-mode signal and the positioning accuracy is assessed; otherwise, multi-mode signal enhancement is adopted. The signal quality parameters include the satellite signal-to-noise ratio and the infrared signal effectiveness coefficient, which are used to evaluate the transmission stability of satellite signals and infrared signals. The satellite signal signal-to-noise ratio is represented by the quantified result of the ratio of the effective information strength of the actually received satellite signal to the background noise strength; The infrared signal effectiveness coefficient is represented by the ratio of the number of valid infrared remote control command bytes successfully parsed by the infrared signal receiver to the total number of original infrared remote control command bytes sent by the infrared transmitter.

4. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 3, characterized in that, The multimode signal enhancement is performed sequentially to compensate for the attenuation of infrared signal energy caused by complex terrain and meteorological factors, to dynamically adjust the infrared transmission power to ensure the complete transmission of infrared remote control commands, and to adaptively select multipath radio frequency signals to ensure the accuracy of positioning data. The specific process of dynamically adjusting the infrared emission power is as follows: The multimode signal effectiveness evaluation index and the multimode signal characteristic influence evaluation index are input into the infrared emission power adjustment parameter mapping set to obtain the infrared emission power adjustment coefficient. The output power of the infrared transmitter is gradually increased by using the power increase corresponding to the infrared emission power adjustment coefficient as the adjustment step size. The multi-mode signal validity evaluation index is continuously monitored. When the multi-mode signal validity evaluation index is greater than the preset signal validity threshold, the corresponding infrared signal is marked as a qualified infrared signal and the positioning accuracy is evaluated. Otherwise, the infrared transmission power is dynamically adjusted. When the number of times the infrared transmission power is dynamically adjusted is greater than the preset maximum number of times the power is adjusted, if the multi-mode signal validity evaluation index is still not greater than the preset signal validity threshold, the multipath radio frequency signal adaptive selection is adopted.

5. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 4, characterized in that, The specific process of adaptive selection of multipath radio frequency signals is as follows: Acquire multipath propagation characteristic parameters for quantifying the multipath propagation characteristics of radio frequency signals, including radio frequency multipath signal propagation delay, radio frequency multipath signal amplitude attenuation, and multimode signal effectiveness evaluation index; The propagation delay of the radio frequency multipath signal is represented by the result of deviation quantization between the arrival time of the multipath signal collected by the radio frequency signal receiver and the preset arrival time of the radio frequency signal. The amplitude attenuation of the radio frequency multipath signal is represented by the ratio of the average peak power of the multipath signal collected by the radio frequency signal receiver to the preset radio frequency signal. The result of weighted coupling of the multipath propagation characteristic parameters and the corresponding multipath propagation characteristic weight parameters is used as the RF multipath signal characteristic evaluation value. When the RF multipath signal feature evaluation value is less than the preset multipath signal feature threshold, the corresponding RF multipath signal is marked as a qualified RF signal; otherwise, the corresponding RF multipath signal is marked as a multipath interference signal and the multipath interference signal is removed. After the multipath radio frequency signal adaptive selection is completed, the multimode signal effectiveness evaluation index is reacquired. If the multimode signal effectiveness evaluation index is still not less than the preset signal effectiveness threshold, a radio frequency signal selection failure alarm is sent; otherwise, a positioning accuracy evaluation is performed.

6. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 4, characterized in that, The specific process for assessing positioning accuracy is as follows: Obtain a positioning accuracy deviation index to evaluate the impact of attenuated or distorted signals on the positioning calculation accuracy of multimode transceivers: The positioning accuracy deviation index is represented by the result of quantifying the deviation between the total number of positioning data frames transmitted by qualified radio frequency signals and the total number of validly transmitted positioning data frames in qualified radio frequency signals. When the positioning accuracy deviation index is less than the preset positioning accuracy threshold, the accuracy of the control command response is analyzed; otherwise, multi-mode fusion positioning is adopted.

7. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 6, characterized in that, The specific process of multi-mode fusion positioning is as follows: Perform a multimode transceiver perimeter search operation, which means searching for other multimode transceivers in operation in the vicinity based on the millimeter-wave detection function of the radio frequency antenna and synchronously acquiring the operating status of these multimode transceivers. When the number of multimode transceivers found reaches a preset number, a satellite signal strength assessment is performed on the multimode transceivers. This assessment evaluates the satellite signal strength received by each surrounding multimode transceiver. The specific process is as follows: When the multimode signal characteristic impact assessment index is not less than the preset interference safety threshold, the corresponding multimode signal transceiver is determined to be a weak signal multimode signal transceiver and a multimode signal transceiver communication connection is established. The multimode transceiver communication connection refers to establishing a communication connection between the multimode transceiver and surrounding multimode transceivers based on ultra-wideband radio frequency communication technology, forming a triangular relay positioning network, and performing multimode transceiver fusion positioning calculation. When the multimode signal characteristic impact assessment index is less than the preset interference safety threshold, the corresponding multimode signal transceiver is determined to be a strong signal multimode signal transceiver. The fused coordinates of the multimode signal transceiver are obtained based on the satellite signal received by the strong signal multimode signal transceiver and its own positioning module. Multi-mode fusion positioning effectiveness verification: After the multi-mode fusion positioning is completed, the positioning accuracy deviation index is reacquired. If the positioning accuracy deviation index is still not less than the preset positioning accuracy deviation threshold, a fusion positioning failure alarm is sent; otherwise, the accuracy of the control command response is analyzed.

8. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 1, characterized in that, The specific process for analyzing the accuracy of the control command response is as follows: Obtain command response accuracy evaluation metrics to assess the impact of positioning errors and signal delays on the guidance of collaborative devices and the execution of infrared remote control commands; The command response accuracy evaluation index is represented by the ratio of the spatial Euclidean distance difference between the actual positioning coordinates and the target coordinates of the infrared remote control command to a preset positioning deviation value. If the accuracy evaluation index of the command response is less than the preset response threshold, the operation of the collaborative device will continue to be executed according to the original infrared remote control command; otherwise, infrared remote control command compensation will be adopted.

9. The method for integrating multi-mode signal transceiver and infrared remote control in complex environments according to claim 8, characterized in that, The specific process of infrared remote control command compensation is as follows: Input the command response accuracy evaluation index and the current attitude angle of the UAV into the infrared guidance angle correction set to obtain the infrared guidance angle correction value; Using the magnitude corresponding to the infrared guidance angle correction value as the adjustment step size, the infrared guidance angle is adjusted step by step in the direction that reduces the command response accuracy evaluation index. The system continuously monitors the command response accuracy evaluation index. When the command response accuracy evaluation index is less than the preset response threshold, the system continues to execute the operation of the collaborative device according to the original infrared remote control command. Otherwise, the system continues to execute infrared remote control command compensation. When the number of infrared remote control command compensation adjustments exceeds the preset maximum number of compensation adjustments, if the command response accuracy evaluation index is still not less than the preset response threshold, a compensation adjustment failure alarm is sent.

10. A complex environment multi-mode signal transceiver and infrared remote control integrated device, employing the complex environment multi-mode signal transceiver and infrared remote control integrated method as described in any one of claims 1-9, characterized in that, Includes: a bionic handle for controlling signal transmission, indicator lights, signal transceiver components, operation buttons, a start button, a microphone component, and other components. The control signal transmitting bionic handle (1) includes a fixed wheel (101) fixed on the outer wall of the signal transceiver device and the remote control body, and a bionic operating handle (102) connected to the outer wall of the fixed wheel (101), for users to hold and operate the signal transceiver and remote control device. The signal transceiver component includes an infrared transmitter (3) and a high-power radio frequency transmitting antenna (4), which are used to transmit infrared signals and radio frequency signals, and at the same time receive corresponding signals from external feedback; The indicator lights include an indicator light group (2) and a power indicator light (15) for feedback signal status or power status; The operation buttons include a multi-function numeric keypad (8), a function keypad (9), and a directional operation keypad (10), which are used for users to input digital commands, select function modes, and control the direction of the collaborative device; The start button includes a power button (5) and a microphone power button (6), which are used to start the main power of the multimode transceiver and activate the microphone function. The microphone component refers to a high-power speaker and microphone (11), used to collect user voice commands and play the received voice information through the speaker; The other components include a closed battery compartment (7), a solar panel (12), a handle fixing button (13), a functional signal-power-debugging interface (14), a fixed back clip (16), and a foldable bracket (17).

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