Communication effect evaluation and optimization method of dual-mode walkie-talkie based on multi-feature fusion

Abstract

The present invention relates to the field of intercom communication, and discloses a dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion, comprising the following steps: performing data preprocessing of communication signals of different dual-mode intercoms, extracting features of the communication signals, and performing feature evaluation on the features of the communication signals, judging the communication effect of the intercom, and finally optimizing the communication effect of the intercom according to the stability of mode switching between the intercoms. The present invention evaluates and optimizes the communication effect of different communication modes of the dual-mode intercom by means of multi-feature analysis, thereby ensuring that the communication effect of the intercom remains at a normal level without being affected, and improving the communication efficiency.

Description

Technical Field

[0001] The present invention relates to the field of intercom communications, and in particular to a dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion. Background Art

[0002] Dual-mode walkie-talkies are devices that are compatible with two or more communication modes, such as analog and digital modes, public network and private network modes. This design allows users to flexibly switch communication modes in different environments to ensure the continuity, security and stability of communication. Dual-mode walkie-talkies integrate two independent but interoperable communication modules. In analog mode, frequency modulation (FM) technology is used to send and receive signals, while in digital mode, digital encoding and decoding technology is used.

[0003] Before the dual-mode walkie-talkie works, it is necessary to evaluate the communication effect of the dual-mode walkie-talkie. If the evaluation is not carried out, communication problems cannot be discovered and solved in time, resulting in communication obstacles such as decreased call quality and signal interruption. At the same time, in key areas such as law enforcement and rescue, poor communication may lead to safety risks such as command errors and chaotic operations. Finally, dual-mode walkie-talkies that have not been evaluated may not be able to fully exert their performance, resulting in a waste of resources.

[0004] The benefit of evaluating and optimizing the communication effect of dual-mode walkie-talkies by multi-feature fusion is that multi-feature fusion can comprehensively consider multiple performance indicators of dual-mode walkie-talkies, such as call quality, signal strength, transmission speed, stability, etc., so as to more comprehensively and accurately reflect their performance; by fusing information of different features, a complementary feature space can be formed to improve the accuracy and reliability of device recognition. For example, by fusing the box dimension based on local mean decomposition and the features based on the bispectrum, the feature space can be complemented in the transform domain and the high-order spectrum direction, thereby improving the recognition rate of the walkie-talkie. Therefore, a method for evaluating and optimizing the communication effect of dual-mode walkie-talkies based on multi-feature fusion is proposed. Summary of the invention

[0005] The present invention overcomes the deficiencies of the prior art and provides a dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] The first aspect of the present invention provides a dual-mode walkie-talkie communication effect evaluation and optimization method based on multi-feature fusion, comprising the following steps:

[0008] Collect the communication signals of different dual-mode walkie-talkies during operation, and perform data preprocessing on the collected communication signals to obtain the target noise reduction communication signal characteristics;

[0009] Performing feature evaluation on target noise reduction communication signal features of similar target dual-mode walkie-talkies, and judging the communication effect of similar target dual-mode walkie-talkies based on the feature evaluation results;

[0010] The mode switching stability of similar target dual-mode walkie-talkies is evaluated. Based on the mode switching stability evaluation results and the communication effect of the target noise reduction communication signal characteristics, the communication effect of similar target dual-mode walkie-talkies is optimized.

[0011] Further, in a preferred embodiment of the present invention, the communication signals of different dual-mode walkie-talkies are collected during operation, and the collected communication signals are preprocessed to obtain the target noise reduction communication signal characteristics, specifically:

[0012] The dual-mode walkie-talkie that needs to be evaluated for communication effect is calibrated as the target dual-mode walkie-talkie, and all target dual-mode walkie-talkies that can communicate are calibrated as similar target dual-mode walkie-talkies;

[0013] During the operation of the same type of target dual-mode walkie-talkies, the communication signals between the same type of target dual-mode walkie-talkies are collected in real time, calibrated as target communication signals, and the communication effect evaluation index of the target communication signal is determined at the same time, wherein the communication effect evaluation index includes the data transmission rate between the target dual-mode walkie-talkies, the quality of the communication signal and the delay state;

[0014] Performing signal noise reduction processing and signal feature extraction processing on the target communication signal, wherein the signal noise reduction processing is to convert the target communication signal into a two-dimensional matrix and calibrate it into a two-dimensional communication signal matrix;

[0015] Performing singular value decomposition on the two-dimensional communication signal matrix to obtain a singular two-dimensional communication signal matrix and corresponding singular vectors, and presetting a singular value threshold, wherein the singular value threshold is the median of the singular values ​​of all singular vectors in the singular two-dimensional communication signal matrix;

[0016] In the singular two-dimensional communication signal matrix, all singular vectors whose singular values ​​are less than the singular value threshold are set to zero to obtain an updated singular two-dimensional communication signal matrix, and one-dimensional signal reconstruction is performed based on the updated singular two-dimensional communication signal matrix to obtain a target communication signal after signal noise reduction processing, which is calibrated as a target noise reduction communication signal;

[0017] The signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature.

[0018] Further, in a preferred embodiment of the present invention, the signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature, specifically:

[0019] Performing time domain statistical analysis on the target noise reduction communication signal and extracting the time domain features of the target noise reduction communication signal, wherein the time domain features include signal mean, standard deviation and peak value;

[0020] Performing Fourier transform on the time domain features of the target noise reduction communication signal to obtain frequency domain features of the target noise reduction communication signal, wherein the frequency domain features include frequency energy, main frequency and frequency band energy of the signal;

[0021] Retrieve the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators in the big data network, and classify the target noise reduction communication signal by principal component based on the time domain characteristics and frequency domain characteristics of the target noise reduction communication signal and the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators;

[0022] Based on the principal component classification result, the signal characteristics of the target noise reduction communication signal are obtained and calibrated as the target noise reduction communication signal characteristics.

[0023] Further, in a preferred embodiment of the present invention, the target noise reduction communication signal characteristics of the target dual-mode walkie-talkie of the same type are evaluated, and the communication effect of the target dual-mode walkie-talkie of the same type is judged based on the characteristic evaluation result, specifically:

[0024] Acquire two communication modes in the same type of target dual-mode walkie-talkie, wherein the two communication modes include an analog mode and a digital mode;

[0025] Among them, if the communication mode of the similar target dual-mode walkie-talkie is analog mode, it is necessary to evaluate the signal coverage and communication signal quality in the target noise reduction communication signal characteristics; if the communication mode of the similar target dual-mode walkie-talkie is digital mode, it is necessary to evaluate the signal transmission rate and delay rate in the target noise reduction communication signal characteristics;

[0026] Among them, the same target dual-mode walkie-talkies in analog mode and digital mode need to evaluate the volume and sound quality effects of the target noise reduction communication signal characteristics;

[0027] In the target noise reduction communication signal characteristics, based on the analog mode and the digital mode, the signal coverage, communication signal quality, signal transmission rate, delay rate, volume and sound quality effect in the target noise reduction communication signal characteristics are evaluated respectively, and based on the evaluation results, the analog mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a first type of communication effect. At the same time, based on the evaluation results, the digital mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a second type of communication effect.

[0028] Further, in a preferred embodiment of the present invention, the mode switching stability of the target dual-mode walkie-talkie of the same type is evaluated, and based on the mode switching stability evaluation result, the communication effect of the target dual-mode walkie-talkie of the same type is optimized in combination with the communication effect of the target noise reduction communication signal characteristics, specifically:

[0029] Performing mode switching processing on target dual-mode intercoms of the same type, wherein the mode switching processing is to control the target dual-mode intercoms of the same type to switch between analog mode and digital mode, and performing stability testing during the mode switching processing, wherein the stability testing is to calculate the delay and success rate during switching, which are calibrated as mode switching delay and mode switching success rate;

[0030] Count the number of successful switching after multiple mode switching processes of the same target dual-mode walkie-talkie, and calculate the proportion of the successful switching number in the total number, which is marked as the successful switching ratio. If the successful switching ratio is less than the preset value, the mode switching success rate of the same target dual-mode walkie-talkie is evaluated to be unqualified;

[0031] Calculate the completion time of the mode switching process and preset the maximum completion time. If the completion time of the mode switching process is greater than the maximum completion time, the mode switching delay of the target dual-mode walkie-talkie of the same type is evaluated as unqualified;

[0032] Determine the mode switching sequence of the target dual-mode walkie-talkies of the same type, mark the switching from analog mode to digital mode as the first type of switching mode, and mark the switching from digital mode to analog mode as the second type of switching mode;

[0033] If the mode switching success rate and mode switching delay of the same target dual-mode walkie-talkie are unqualified, the communication effect of the same target dual-mode walkie-talkie is optimized based on the mode switching sequence of the same target dual-mode walkie-talkie and the communication effect of the target noise reduction communication signal characteristics.

[0034] Further, in a preferred embodiment of the present invention, the communication effect of the target dual-mode intercom of the same type is optimized by combining the mode switching sequence of the target dual-mode intercom of the same type and the communication effect of the target noise reduction communication signal characteristics, specifically:

[0035] Since the first switching mode is switching from analog mode to digital mode, when the same type of target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the first type of communication effect is analyzed to determine whether the first type of communication effect is qualified;

[0036] If not, a relay device is added between the same type of target dual-mode walkie-talkies to expand the signal coverage of the same type of target dual-mode walkie-talkies, and a filter is connected to the relay device to adjust the electromagnetic interference intensity within the signal coverage of the same type of target dual-mode walkie-talkies through the filter to improve the communication signal quality of the target noise reduction communication signal and ensure that the first type of communication effect is qualified;

[0037] If the first type of communication effect is qualified, but the same type of target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, the software driver of the same type of target dual-mode walkie-talkie is updated, and the RF module of the same type of target dual-mode walkie-talkie is replaced to ensure that the mode switching success rate and mode switching delay of the same type of target dual-mode walkie-talkie are qualified;

[0038] Since the second-class switching mode is switching from digital mode to analog mode, when the same-class target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the second-class communication effect is analyzed to determine whether the second-class communication effect is qualified;

[0039] If not, perform frequency modulation in the dual-mode intercoms of the same target type to ensure that the channels of the dual-mode intercoms of the same target type are the same, and select the communication frequency output with no abnormal transmission rate and delay rate to ensure that the second-class communication effect is qualified;

[0040] If the second-class communication effect is qualified, but the same-type target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, a mode switching optimization algorithm is introduced into the big data network to optimize the mode switching delay and improve the switching efficiency. The memory is replaced in the same-type target dual-mode walkie-talkie to ensure that the mode switching success rate and mode switching delay of the same-type target dual-mode walkie-talkie are qualified.

[0041] The second aspect of the present invention further provides a dual-mode intercom communication effect evaluation and optimization system based on multi-feature fusion, the evaluation and optimization system comprising a memory and a processor, the memory storing an evaluation and optimization method, and when the evaluation and optimization method is executed by the processor, the following steps are implemented:

[0042] Collect the communication signals of different dual-mode walkie-talkies during operation, and perform data preprocessing on the collected communication signals to obtain the target noise reduction communication signal characteristics;

[0043] Performing feature evaluation on target noise reduction communication signal features of similar target dual-mode walkie-talkies, and judging the communication effect of similar target dual-mode walkie-talkies based on the feature evaluation results;

[0044] The mode switching stability of similar target dual-mode walkie-talkies is evaluated. Based on the mode switching stability evaluation results and the communication effect of the target noise reduction communication signal characteristics, the communication effect of similar target dual-mode walkie-talkies is optimized.

[0045] The present invention solves the technical defects existing in the background technology, and has the following beneficial effects: data preprocessing of communication signals of different dual-mode intercoms is performed, the characteristics of the communication signals are extracted, and the characteristics of the communication signals are evaluated to determine the communication effect of the intercoms, and finally the communication effect of the intercoms is optimized according to the stability of the mode switching between the intercoms. The present invention evaluates and optimizes the communication effect of different communication modes of the dual-mode intercoms by means of multi-feature analysis, ensuring that the communication effect of the intercoms remains at a normal level without being affected, thereby improving the communication efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0047] Figure 1 A flow chart of a dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion is shown;

[0048] Figure 2 A flow chart of a method for performing data preprocessing on collected communication signals is shown;

[0049] Figure 3 The program view of the dual-mode walkie-talkie communication effect evaluation and optimization system based on multi-feature fusion is shown. DETAILED DESCRIPTION

[0050] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0051] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0052] Figure 1 The flowchart of the dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion is shown, which includes the following steps:

[0053] S102: collecting communication signals of different dual-mode walkie-talkies during operation, and performing data preprocessing on the collected communication signals to obtain target noise reduction communication signal features;

[0054] S104: performing feature evaluation on target noise reduction communication signal features of the target dual-mode walkie-talkie of the same type, and judging the communication effect of the target dual-mode walkie-talkie of the same type based on the feature evaluation result;

[0055] S106: Performing a mode switching stability evaluation on the target dual-mode walkie-talkie of the same type, and optimizing the communication effect of the target dual-mode walkie-talkie of the same type based on the mode switching stability evaluation result and the communication effect of the target noise reduction communication signal characteristics.

[0056] Further, in a preferred embodiment of the present invention, the target noise reduction communication signal characteristics of the target dual-mode walkie-talkie of the same type are evaluated, and the communication effect of the target dual-mode walkie-talkie of the same type is judged based on the characteristic evaluation result, specifically:

[0057] Acquire two communication modes in the same type of target dual-mode walkie-talkie, wherein the two communication modes include an analog mode and a digital mode;

[0058] Among them, if the communication mode of the similar target dual-mode walkie-talkie is analog mode, it is necessary to evaluate the signal coverage and communication signal quality in the target noise reduction communication signal characteristics; if the communication mode of the similar target dual-mode walkie-talkie is digital mode, it is necessary to evaluate the signal transmission rate and delay rate in the target noise reduction communication signal characteristics;

[0059] Among them, the same target dual-mode walkie-talkies in analog mode and digital mode need to evaluate the volume and sound quality effects of the target noise reduction communication signal characteristics;

[0060] In the target noise reduction communication signal characteristics, based on the analog mode and the digital mode, the signal coverage, communication signal quality, signal transmission rate, delay rate, volume and sound quality effect in the target noise reduction communication signal characteristics are evaluated respectively, and based on the evaluation results, the analog mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a first type of communication effect. At the same time, based on the evaluation results, the digital mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a second type of communication effect.

[0061] It should be noted that the dual-mode walkie-talkie inherits two independent but interoperable communication modules, corresponding to two communication modes, namely analog mode and digital mode. Among them, frequency modulation technology is used to send and receive signals in analog mode, and digital encoding and decoding technology is used in digital mode. Different communication modes have different focuses when evaluating the characteristics of the target noise reduction communication signal. The analog mode needs to evaluate the signal coverage range and communication signal quality of the characteristics, and the digital mode needs to evaluate the signal transmission rate and delay rate. The same target dual-mode walkie-talkies in analog mode and digital mode need to evaluate the volume and sound quality effects in the target noise reduction communication signal characteristics. And based on the above characteristics, the first type of communication effect and the second type of communication effect are constructed. Because different communication effects, combined with different communication modes, have different impact ranges, they need to be evaluated and analyzed separately.

[0062] Further, in a preferred embodiment of the present invention, the mode switching stability of the target dual-mode walkie-talkie of the same type is evaluated, and based on the mode switching stability evaluation result, the communication effect of the target dual-mode walkie-talkie of the same type is optimized in combination with the communication effect of the target noise reduction communication signal characteristics, specifically:

[0063] Performing mode switching processing on target dual-mode intercoms of the same type, wherein the mode switching processing is to control the target dual-mode intercoms of the same type to switch between analog mode and digital mode, and performing stability testing during the mode switching processing, wherein the stability testing is to calculate the delay and success rate during switching, which are calibrated as mode switching delay and mode switching success rate;

[0064] Count the number of successful switching after multiple mode switching processes of the same target dual-mode walkie-talkie, and calculate the proportion of the successful switching number in the total number, which is marked as the successful switching ratio. If the successful switching ratio is less than the preset value, the mode switching success rate of the same target dual-mode walkie-talkie is evaluated to be unqualified;

[0065] Calculate the completion time of the mode switching process and preset the maximum completion time. If the completion time of the mode switching process is greater than the maximum completion time, the mode switching delay of the target dual-mode walkie-talkie of the same type is evaluated as unqualified;

[0066] Determine the mode switching sequence of the target dual-mode walkie-talkies of the same type, mark the switching from analog mode to digital mode as the first type of switching mode, and mark the switching from digital mode to analog mode as the second type of switching mode;

[0067] If the mode switching success rate and mode switching delay of the same target dual-mode walkie-talkie are unqualified, the communication effect of the same target dual-mode walkie-talkie is optimized based on the mode switching sequence of the same target dual-mode walkie-talkie and the communication effect of the target noise reduction communication signal characteristics.

[0068] It should be noted that mode switching stability includes the switching time during mode switching, which should be as short as possible to reduce the time of communication interruption. Through actual testing, the time required for switching between different modes is recorded and compared with expectations, so the switching time can be evaluated. It also includes the switching success rate, which refers to the ratio of the number of errors or failures in the switching process to the total number of switching times. During the mode switching process, a low success rate will directly interrupt communication and may bring uncontrollable effects, so it is necessary to analyze the switching success rate and switching force at the same time to evaluate stability.

[0069] Further, in a preferred embodiment of the present invention, the communication effect of the target dual-mode intercom of the same type is optimized by combining the mode switching sequence of the target dual-mode intercom of the same type and the communication effect of the target noise reduction communication signal characteristics, specifically:

[0070] Since the first switching mode is switching from analog mode to digital mode, when the same type of target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the first type of communication effect is analyzed to determine whether the first type of communication effect is qualified;

[0071] If not, a relay device is added between the same type of target dual-mode walkie-talkies to expand the signal coverage of the same type of target dual-mode walkie-talkies, and a filter is connected to the relay device to adjust the electromagnetic interference intensity within the signal coverage of the same type of target dual-mode walkie-talkies through the filter to improve the communication signal quality of the target noise reduction communication signal and ensure that the first type of communication effect is qualified;

[0072] If the first type of communication effect is qualified, but the same type of target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, the software driver of the same type of target dual-mode walkie-talkie is updated, and the RF module of the same type of target dual-mode walkie-talkie is replaced to ensure that the mode switching success rate and mode switching delay of the same type of target dual-mode walkie-talkie are qualified;

[0073] Since the second-class switching mode is switching from digital mode to analog mode, when the same-class target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the second-class communication effect is analyzed to determine whether the second-class communication effect is qualified;

[0074] If not, perform frequency modulation in the dual-mode intercoms of the same target type to ensure that the channels of the dual-mode intercoms of the same target type are the same, and select the communication frequency output with no abnormal transmission rate and delay rate to ensure that the second-class communication effect is qualified;

[0075] If the second-class communication effect is qualified, but the same-type target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, a mode switching optimization algorithm is introduced into the big data network to optimize the mode switching delay and improve the switching efficiency. The memory is replaced in the same-type target dual-mode walkie-talkie to ensure that the mode switching success rate and mode switching delay of the same-type target dual-mode walkie-talkie are qualified.

[0076] It should be noted that the first type of switching mode corresponds to the first type of communication effect, because the first type of switching mode is switching from analog mode to digital mode. Relay equipment includes relay stations, fiber optic repeaters and other equipment that expand the signal coverage range. After the signal enters the relay equipment, it will achieve the purpose of amplifying the signal range. The filter is a device that filters out electromagnetic interference, which can achieve the purpose of not interfering with the signal during transmission. If the first type of communication effect is qualified, the same type of target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, which proves that there is a problem inside the walkie-talkie and has nothing to do with external factors. At this time, the software driver is updated to ensure that the walkie-talkie software version is the latest state, and the hardware components of the walkie-talkie, including antennas, RF modules, etc., are checked and maintained to prevent the success rate of mode switching from being affected. Similarly, the second type of switching mode corresponds to the second type of communication effect. The second type of communication effect needs to be FM in the same type of target dual-mode walkie-talkie, because the abnormal transmission rate and delay rate may be that the channels between the two walkie-talkies are not on the same channel, resulting in time for decoding and FM after signal transmission and reception. At the same time, directly adjusting the frequency can also reduce the decoding time and achieve the purpose of qualified second type of communication effect. If the second-class communication effect is qualified, and the same-type target dual-mode intercom still has unqualified mode switching success rate and unqualified mode switching delay, then directly optimize the mode switching algorithm, replace it with a larger capacity memory, speed up the reading and writing speed, and thus speed up the decoding and encoding speed, to ensure that the mode switching success rate of the same-type target dual-mode intercom is unqualified and the mode switching delay is qualified. For the volume and sound quality effects in the target noise reduction communication signal characteristics, the volume and sound quality effects are affected by the electromagnetic wave interference during the propagation process of the audio signal being converted into an electromagnetic wave signal, and are also affected by the decoding frequency modulation time, and are also affected by hardware and other aspects. After all the problems are solved by the above method, the volume and sound quality effects will be solved accordingly.

[0077] Figure 2 A flow chart of a method for performing data preprocessing on a collected communication signal is shown, comprising the following steps:

[0078] S202: collecting communication signals of different dual-mode walkie-talkies during operation, and performing data preprocessing on the collected communication signals to obtain target noise reduction communication signal features;

[0079] S204: performing signal feature extraction processing on the target noise reduction communication signal to obtain a signal feature of the target noise reduction communication signal, and calibrating it as a target noise reduction communication signal feature.

[0080] Further, in a preferred embodiment of the present invention, the communication signals of different dual-mode walkie-talkies are collected during operation, and the collected communication signals are preprocessed to obtain the target noise reduction communication signal characteristics, specifically:

[0081] The dual-mode walkie-talkie that needs to be evaluated for communication effect is calibrated as the target dual-mode walkie-talkie, and all target dual-mode walkie-talkies that can communicate are calibrated as similar target dual-mode walkie-talkies;

[0082] During the operation of the same type of target dual-mode walkie-talkies, the communication signals between the same type of target dual-mode walkie-talkies are collected in real time, calibrated as target communication signals, and the communication effect evaluation index of the target communication signal is determined at the same time, wherein the communication effect evaluation index includes the data transmission rate between the target dual-mode walkie-talkies, the quality of the communication signal and the delay state;

[0083] Performing signal noise reduction processing and signal feature extraction processing on the target communication signal, wherein the signal noise reduction processing is to convert the target communication signal into a two-dimensional matrix and calibrate it into a two-dimensional communication signal matrix;

[0084] Performing singular value decomposition on the two-dimensional communication signal matrix to obtain a singular two-dimensional communication signal matrix and corresponding singular vectors, and presetting a singular value threshold, wherein the singular value threshold is the median of the singular values ​​of all singular vectors in the singular two-dimensional communication signal matrix;

[0085] In the singular two-dimensional communication signal matrix, all singular vectors whose singular values ​​are less than the singular value threshold are set to zero to obtain an updated singular two-dimensional communication signal matrix, and one-dimensional signal reconstruction is performed based on the updated singular two-dimensional communication signal matrix to obtain a target communication signal after signal noise reduction processing, which is calibrated as a target noise reduction communication signal;

[0086] The signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature.

[0087] It should be noted that the target dual-mode walkie-talkie of the same type can communicate with two or more walkie-talkies, and the communication signal between the walkie-talkie combination is the target communication signal. Since the communication signal is affected by the environment or the abnormal fault of the walkie-talkie itself during transmission, deviation, noise and other conditions will occur, resulting in a decrease in the transmission effect during the transmission process. Therefore, data preprocessing is required to perform data noise reduction on the communication signal. The communication signal is processed by singular value decomposition. First, the signal is matrix-converted to construct a suitable two-dimensional matrix, in which the signal is segmented and arranged into rows or columns of the matrix. Subsequently, the constructed matrix is ​​subjected to singular value decomposition to obtain a singular value matrix and corresponding singular vectors. The singular value distribution corresponding to the singular vectors is analyzed. Larger singular values ​​correspond to important components in the signal, and smaller singular values ​​correspond to noise components. Therefore, according to the threshold method, a singular value threshold is preset, that is, the median of all singular values ​​is set as the singular value threshold, vectors smaller than the singular value threshold are set to zero, and the processed matrix is ​​reconstructed in one dimension to obtain the target communication signal after signal noise reduction processing, which is calibrated as the target noise reduction communication signal.

[0088] Further, in a preferred embodiment of the present invention, the signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature, specifically:

[0089] Performing time domain statistical analysis on the target noise reduction communication signal and extracting the time domain features of the target noise reduction communication signal, wherein the time domain features include signal mean, standard deviation and peak value;

[0090] Performing Fourier transform on the time domain features of the target noise reduction communication signal to obtain frequency domain features of the target noise reduction communication signal, wherein the frequency domain features include frequency energy, main frequency and frequency band energy of the signal;

[0091] Retrieve the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators in the big data network, and classify the target noise reduction communication signal by principal component based on the time domain characteristics and frequency domain characteristics of the target noise reduction communication signal and the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators;

[0092] Based on the principal component classification result, the signal characteristics of the target noise reduction communication signal are obtained and calibrated as the target noise reduction communication signal characteristics.

[0093] It should be noted that after obtaining the target noise reduction communication signal, it is necessary to extract the characteristics of the signal from the signal for analysis, so as to determine the communication effect of the walkie-talkie. The purpose of feature extraction can be achieved through the principal component analysis method according to the component composition of the feature. Using the principal component analysis method, the signal needs to be converted into time domain features and frequency domain features first. Among them, the time domain features can reflect the overall level and volatility of the signal, and the frequency domain features can explain the distribution and energy of the signal in frequency. Due to the different characteristic components of different features, such as latency, communication quality and other features, after retrieving the principal component distribution map of the target noise reduction communication signal corresponding to different communication effect evaluation indicators, the feature extraction can be achieved according to the distribution map combined with the time domain features and frequency domain features to obtain the target noise reduction communication signal features.

[0094] In addition, the dual-mode walkie-talkie communication effect evaluation and optimization method based on multi-feature fusion also includes the following steps:

[0095] Since the same type of target dual-mode intercom includes a combination of all target dual-mode intercoms that can communicate, the communication operation of the same type of target dual-mode intercoms includes a preparation phase and an operation phase;

[0096] Among them, the same type of target dual-mode intercoms in the preparation stage include target dual-mode intercoms that do not participate in communication, which are calibrated as dual-mode intercoms in the preparation stage, and the same type of target dual-mode intercoms in the operation stage include target dual-mode intercoms that are participating in communication, which are calibrated as dual-mode intercoms in the operation stage;

[0097] For the dual-mode intercom in the running stage, the dual-mode intercom in the running stage is controlled to send a target noise reduction communication signal, and the target noise reduction communication signal is transmitted to an area within the signal coverage range, which is marked as the signal coverage area. At the same time, the dual-mode intercom in the running stage that sends the target noise reduction communication signal is marked as the sending dual-mode intercom in the running stage;

[0098] All target dual-mode walkie-talkies receiving the target noise reduction communication signal in the signal coverage area and the dual-mode walkie-talkies sending the signal in the operation phase are the same type of target dual-mode walkie-talkies. All target dual-mode walkie-talkies receiving the target noise reduction communication signal in the signal coverage area are analyzed;

[0099] If the target dual-mode intercom receiving the target noise reduction communication signal in the signal coverage area can decode the target noise reduction communication signal, the corresponding target dual-mode intercom is classified as an operating stage dual-mode intercom;

[0100] If the target dual-mode intercom part receiving the target noise reduction communication signal in the signal coverage area can decode the target noise reduction communication signal, the corresponding target dual-mode intercom is classified as a dual-mode intercom in the preparation stage.

[0101] It should be noted that since the same type of target dual-mode intercom can be a combination of two or more intercoms for communication, and all intercoms will not be kept online during the intercom conversation, it is necessary to distinguish between the intercoms in the same type of dual-mode intercoms that are in operation and those in standby. By transmitting the signal into the air and judging whether the intercom receiving the signal can decode the signal, it can be judged whether the working state of the intercom is not running or in standby. Because the signal is an electromagnetic wave signal in the air, it undergoes amplification and modulation, and needs to be decoded and other operations to be restored to an audio signal. If it cannot be decoded, it proves that the intercom is in standby state. The above method can distinguish different intercoms in the same type of dual-mode intercoms that are in operation and standby state. The purpose of distinguishing all intercoms is to distinguish the intercoms in working state, so as to identify the people using the intercom and achieve high-efficiency intercom tasks.

[0102] like Figure 3 As shown, the second aspect of the present invention also provides a dual-mode walkie-talkie communication effect evaluation and optimization system based on multi-feature fusion, the evaluation and optimization system includes a memory 31 and a processor 32, the memory 31 stores an evaluation and optimization method, and when the evaluation and optimization method is executed by the processor 32, the following steps are implemented:

[0103] Collect the communication signals of different dual-mode walkie-talkies during operation, and perform data preprocessing on the collected communication signals to obtain the target noise reduction communication signal characteristics;

[0104] Performing feature evaluation on target noise reduction communication signal features of similar target dual-mode walkie-talkies, and judging the communication effect of similar target dual-mode walkie-talkies based on the feature evaluation results;

[0105] The mode switching stability of similar target dual-mode walkie-talkies is evaluated. Based on the mode switching stability evaluation results and the communication effect of the target noise reduction communication signal characteristics, the communication effect of similar target dual-mode walkie-talkies is optimized.

[0106] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion, characterized in that: The following steps are involved: Collect the communication signals of different dual-mode walkie-talkies during operation, and perform data preprocessing on the collected communication signals to obtain the target noise reduction communication signal characteristics; Performing feature evaluation on target noise reduction communication signal features of similar target dual-mode walkie-talkies, and judging the communication effect of similar target dual-mode walkie-talkies based on the feature evaluation results; Conduct mode switching stability evaluation on similar target dual-mode walkie-talkies. Based on the mode switching stability evaluation results and the communication effect of the target noise reduction communication signal characteristics, optimize the communication effect of similar target dual-mode walkie-talkies. Among them, the mode switching stability evaluation is performed on the dual-mode walkie-talkie of the same target, and based on the mode switching stability evaluation result, the communication effect of the dual-mode walkie-talkie of the same target is optimized in combination with the communication effect of the target noise reduction communication signal characteristics, specifically: Performing mode switching processing on target dual-mode intercoms of the same type, wherein the mode switching processing is to control the target dual-mode intercoms of the same type to switch between analog mode and digital mode, and performing stability testing during the mode switching processing, wherein the stability testing is to calculate the delay and success rate during switching, which are calibrated as mode switching delay and mode switching success rate; Count the number of successful switching after multiple mode switching processes of the same target dual-mode walkie-talkie, and calculate the proportion of the successful switching number in the total number, which is marked as the successful switching ratio. If the successful switching ratio is less than the preset value, the mode switching success rate of the same target dual-mode walkie-talkie is evaluated to be unqualified; Calculate the completion time of the mode switching process and preset the maximum completion time. If the completion time of the mode switching process is greater than the maximum completion time, the mode switching delay of the target dual-mode walkie-talkie of the same type is evaluated as unqualified; Determine the mode switching sequence of the target dual-mode walkie-talkies of the same type, mark the switching from analog mode to digital mode as the first type of switching mode, and mark the switching from digital mode to analog mode as the second type of switching mode; If the mode switching success rate and mode switching delay of the same target dual-mode walkie-talkie are unqualified, the communication effect of the same target dual-mode walkie-talkie is optimized based on the mode switching sequence of the same target dual-mode walkie-talkie and the communication effect of the target noise reduction communication signal characteristics.

2. According to the dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion described in claim 1, it is characterized in that: The communication signals of different dual-mode walkie-talkies are collected during operation, and data preprocessing is performed on the collected communication signals to obtain target noise reduction communication signal features, specifically: The dual-mode walkie-talkie that needs to be evaluated for communication effect is calibrated as the target dual-mode walkie-talkie, and all target dual-mode walkie-talkies that can communicate are calibrated as similar target dual-mode walkie-talkies; During the operation of the same type of target dual-mode walkie-talkies, the communication signals between the same type of target dual-mode walkie-talkies are collected in real time, calibrated as target communication signals, and the communication effect evaluation index of the target communication signal is determined at the same time, wherein the communication effect evaluation index includes the data transmission rate between the target dual-mode walkie-talkies, the quality of the communication signal and the delay state; Performing signal noise reduction processing and signal feature extraction processing on the target communication signal, wherein the signal noise reduction processing is to convert the target communication signal into a two-dimensional matrix and calibrate it into a two-dimensional communication signal matrix; Performing singular value decomposition on the two-dimensional communication signal matrix to obtain a singular two-dimensional communication signal matrix and corresponding singular vectors, and presetting a singular value threshold, wherein the singular value threshold is the median of the singular values ​​of all singular vectors in the singular two-dimensional communication signal matrix; In the singular two-dimensional communication signal matrix, all singular vectors whose singular values ​​are less than the singular value threshold are set to zero to obtain an updated singular two-dimensional communication signal matrix, and one-dimensional signal reconstruction is performed based on the updated singular two-dimensional communication signal matrix to obtain a target communication signal after signal noise reduction processing, which is calibrated as a target noise reduction communication signal; The signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature.

3. According to the dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion described in claim 2, it is characterized in that: The signal feature extraction process is performed on the target noise reduction communication signal to obtain the signal feature of the target noise reduction communication signal, which is calibrated as the target noise reduction communication signal feature, specifically: Performing time domain statistical analysis on the target noise reduction communication signal and extracting the time domain features of the target noise reduction communication signal, wherein the time domain features include signal mean, standard deviation and peak value; Performing Fourier transform on the time domain features of the target noise reduction communication signal to obtain frequency domain features of the target noise reduction communication signal, wherein the frequency domain features include frequency energy, main frequency and frequency band energy of the signal; Retrieve the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators in the big data network, and classify the target noise reduction communication signal by principal component based on the time domain characteristics and frequency domain characteristics of the target noise reduction communication signal and the principal component distribution diagram of the target noise reduction communication signal corresponding to different communication effect evaluation indicators; Based on the principal component classification result, the signal characteristics of the target noise reduction communication signal are obtained and calibrated as the target noise reduction communication signal characteristics.

4. According to the dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion described in claim 1, it is characterized in that: The characteristic evaluation of the target noise reduction communication signal characteristics of the similar target dual-mode walkie-talkie and judging the communication effect of the similar target dual-mode walkie-talkie based on the characteristic evaluation result are specifically as follows: Acquire two communication modes in the same type of target dual-mode walkie-talkie, wherein the two communication modes include an analog mode and a digital mode; Among them, if the communication mode of the similar target dual-mode walkie-talkie is analog mode, it is necessary to evaluate the signal coverage and communication signal quality in the target noise reduction communication signal characteristics; if the communication mode of the similar target dual-mode walkie-talkie is digital mode, it is necessary to evaluate the signal transmission rate and delay rate in the target noise reduction communication signal characteristics; Among them, the same target dual-mode walkie-talkies in analog mode and digital mode need to evaluate the volume and sound quality effects of the target noise reduction communication signal characteristics; In the target noise reduction communication signal characteristics, based on the analog mode and the digital mode, the signal coverage, communication signal quality, signal transmission rate, delay rate, volume and sound quality effect in the target noise reduction communication signal characteristics are evaluated respectively, and based on the evaluation results, the analog mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a first type of communication effect. At the same time, based on the evaluation results, the digital mode communication effect of the same type of target dual-mode walkie-talkie is generated and calibrated as a second type of communication effect.

5. The dual-mode intercom communication effect evaluation and optimization method based on multi-feature fusion according to claim 1 is characterized in that: The communication effect of the target dual-mode intercom of the same type is optimized by combining the mode switching sequence of the target dual-mode intercom of the same type and the communication effect of the target noise reduction communication signal characteristics, specifically: Since the first switching mode is switching from analog mode to digital mode, when the same type of target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the first type of communication effect is analyzed to determine whether the first type of communication effect is qualified; If not, a relay device is added between the same type of target dual-mode walkie-talkies to expand the signal coverage of the same type of target dual-mode walkie-talkies, and a filter is connected to the relay device to adjust the electromagnetic interference intensity within the signal coverage of the same type of target dual-mode walkie-talkies through the filter to improve the communication signal quality of the target noise reduction communication signal and ensure that the first type of communication effect is qualified; If the first type of communication effect is qualified, but the same type of target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, the software driver of the same type of target dual-mode walkie-talkie is updated, and the RF module of the same type of target dual-mode walkie-talkie is replaced to ensure that the mode switching success rate and mode switching delay of the same type of target dual-mode walkie-talkie are qualified; Since the second-class switching mode is switching from digital mode to analog mode, when the same-class target dual-mode walkie-talkie has an unqualified mode switching success rate and an unqualified mode switching delay, the second-class communication effect is analyzed to determine whether the second-class communication effect is qualified; If not, perform frequency modulation in the dual-mode intercoms of the same target type to ensure that the channels of the dual-mode intercoms of the same target type are the same, and select the communication frequency output with no abnormal transmission rate and delay rate to ensure that the second-class communication effect is qualified; If the second-class communication effect is qualified, but the same-type target dual-mode walkie-talkie still has unqualified mode switching success rate and unqualified mode switching delay, a mode switching optimization algorithm is introduced into the big data network to optimize the mode switching delay and improve the switching efficiency. The memory is replaced in the same-type target dual-mode walkie-talkie to ensure that the mode switching success rate and mode switching delay of the same-type target dual-mode walkie-talkie are qualified.

6. A dual-mode intercom communication effect evaluation and optimization system based on multi-feature fusion, characterized in that: The evaluation and optimization system includes a memory and a processor, wherein the memory stores an evaluation and optimization method program. When the evaluation and optimization method program is executed by the processor, the evaluation and optimization method steps as described in any one of claims 1 to 5 are implemented.

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