A communication method and system based on maritime satellite

Abstract

The invention discloses a communication method and system based on a maritime satellite, which relates to the fields of modern communication technology and satellite technology. The method and system obtain a received signal quality evaluation coefficient Xpg by monitoring the state of space environment meteorological conditions and signal propagation conditions, and combining the collected received signal state data information, and send out a dynamic adjustment signal after comparison; collect the transmission signal power data information and communication bandwidth data information of the transmitting end, and according to the dynamic adjustment loading data pre-set to be executed by the current signal transmitting end, associate the constructed adjusted transmission power Ptz and the adjusted communication bandwidth Ktz with the received signal quality evaluation coefficient Xpg, fit and construct the effectiveness adjustment evaluation index Zyx, compare its preset evaluation threshold G, judge the effectiveness of the adjustment strategy and generate the corresponding level evaluation result.

Description

Technical Field

[0001] The present invention relates to the field of modern communication technology and satellite technology, and in particular to a communication method and system based on maritime satellites. Background Art

[0002] With the rapid development of the global shipping industry, the demand for maritime communications is increasing, and maritime satellite communications have become an important means of supporting key tasks such as maritime transportation, ship dispatch, and ocean monitoring. Maritime satellite communication technology plays a vital role in protecting ocean-going vessels, offshore platforms, and fishery operations. By connecting maritime satellites with land and offshore platform targets, it ensures smooth communication for maritime users in complex environments. In order to ensure the quality, reliability, and stability of transmission signals, maritime satellite communication methods are constantly developing towards intelligence and dynamic adjustment.

[0003] In the Chinese invention patent with authorization announcement number CN107302395B, a maritime satellite gateway station security communication control method and system are disclosed. The control method realizes flexible satellite communication management and control through multiple control methods such as illegal user control, high-priority user control, regional control, roaming control, and number segment control, so as to achieve strategic requirements such as secure communication management and emergency resource guarantee; the above method provides different types of communication control services for different communication data through static and dynamic management of all users in the service area, thereby reducing the load on the core network, reducing the interaction between systems and the generation of junk data, improving the reliability and efficiency of the system, and reducing operational risks.

[0004] However, although the above-mentioned maritime satellite gateway station security communication control method and system can provide different types of communication control services for different communication data, thereby reducing the load on the core network, reducing the interaction between systems and the generation of junk data, improving the reliability and efficiency of the system, and reducing operational risks; but it still faces some challenges and shortcomings in practical applications; in practical applications, the signal propagation of maritime satellite communications is easily affected by environmental meteorology, signal propagation conditions and other natural factors, resulting in large fluctuations in signal quality, and lack of real-time response and adjustment capabilities to dynamic environmental changes. It is difficult to make effective dynamic adjustments in a timely manner based on real-time monitoring and evaluation of the communication quality, resulting in poor received signal quality, affecting the communication quality and system reliability. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a communication method and system based on maritime satellites, which solve the problems in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A communication method based on maritime satellites, comprising the following steps: S1. According to the maritime satellite communication process, the space environment meteorological condition state and the signal propagation condition state of the signal propagation are monitored, and relevant meteorological environment data information and relevant propagation condition data information are obtained respectively to construct the signal propagation loss coefficient Xsh; S2. Collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out; S3. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; S4, extracting features from relevant data information in the cloud database, and correlating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the validity adjustment evaluation index Zyx after linear normalization processing; S5. Preset the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

[0007] Preferably, S1 specifically comprises the following steps: S11. According to the maritime satellite communication process, the space environment meteorological condition state of signal propagation and the signal propagation condition state are monitored, and relevant meteorological environment data information and relevant propagation condition data information are respectively obtained, wherein the relevant meteorological environment data information includes humidity Ssd, particle concentration Cnd and ionospheric electron density Cdz, and the relevant propagation condition data information includes signal propagation distance Lcb and signal frequency Vpv; S12. Based on the relevant propagation condition data information in step S11, a free space loss value Ssh is obtained by associating the signal propagation distance Lcb with the signal frequency Vpv in the same maritime satellite communication process. The free space loss value Ssh is obtained by the following formula: ; In the formula, Expressed as the speed of light.

[0008] Preferably, S1 specifically further comprises the following steps: S13, based on the relevant meteorological environment data information obtained in step S11, by associating the relevant meteorological environment data information with the free space loss value Ssh, and after linear normalization processing, constructing a signal propagation loss coefficient Xsh, the signal propagation loss coefficient Xsh is obtained by the following formula: ; In the formula, Ssd represents humidity, Cnd represents particle concentration, and Cdz represents ionospheric electron density. , , and They are respectively represented as the weight values ​​of free space loss value Ssh, humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, and A is represented as the first correction constant.

[0009] Preferably, S2 specifically includes the following steps: S21. According to the signal reception condition of the signal receiving end and in combination with Fourier transform technology, the receiving signal state data information of the receiving end during the signal propagation process is collected through multiple sets of sensors, wherein the receiving signal state data information includes noise power Pgv and signal receiving strength Pqd, and the multiple sets of sensors include a noise analyzer and a power meter; S22. Based on the received signal state data information obtained in step S21, the received signal state data information is associated with the signal propagation loss coefficient Xsh, and after linear normalization processing, a received signal quality evaluation coefficient Xpg is obtained. The received signal quality evaluation coefficient Xpg is obtained by the following formula: ; In the formula, Pgv represents the noise power, Pqd represents the signal receiving strength, , and They are respectively represented as the weight values ​​of signal reception strength Pqd, signal propagation loss coefficient Xsh and noise power Pgv, and B is represented as the second correction constant.

[0010] Preferably, S2 specifically further comprises the following steps: S23, presetting a quality assessment threshold, and comparing and analyzing the quality assessment threshold with the received signal quality assessment coefficient Xpg to determine whether the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and sending a dynamic adjustment signal accordingly, the specific contents are as follows: If the received signal quality evaluation coefficient Xpg does not exceed the quality evaluation threshold, it means that the quality of the received signal at the signal receiving end does not meet the communication requirements in the case of long-distance communication, and a dynamic adjustment signal will be sent out at this time; If the received signal quality evaluation coefficient Xpg exceeds the quality evaluation threshold, it means that the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and no additional dynamic adjustment signal will be sent out at this time.

[0011] Preferably, S3 specifically includes the following steps: S31. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and pre-set the dynamic adjustment loading data executed by the current signal transmitting end in combination with the adaptive control algorithm, wherein the transmission signal power data information includes the transmission signal power Pfs, the communication bandwidth data information includes the communication bandwidth Kdk, and the dynamic adjustment loading data includes the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk loaded by the current signal transmitting end; S32, extracting features from the dynamic adjustment loading data, the transmission signal power data information and the related propagation condition data information, and associating them with the signal propagation loss coefficient Xsh to obtain the adjusted transmission power Ptz, wherein the adjusted transmission power Ptz is obtained by the following formula: ; Where Pfs represents the transmitted signal power, tgv represents the power adjustment coefficient, and Lcb represents the signal propagation distance.

[0012] Preferably, S3 specifically further includes the following steps: S33, extracting features from the dynamically adjusted loading data, the transmission signal power data information, and the communication bandwidth data information, and associating them with the adjusted transmission power Ptz constructed in step S32, to obtain the adjusted communication bandwidth Ktz, wherein the adjusted communication bandwidth Ktz is obtained by the following formula: ; In the formula, Kdk represents the communication bandwidth, tbk represents the bandwidth adjustment coefficient, and Pfs represents the transmission signal power. It is expressed as the degree of adjustment of the transmission power; S34, after executing dynamic adjustment loading data according to the current signal transmitting end, the constructed adjusted transmitting power Ptz and adjusted communication bandwidth Ktz are uploaded to the cloud database.

[0013] Preferably, S4 specifically comprises the following steps: S41, extracting features from relevant data information in the cloud database, and associating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the effectiveness adjustment evaluation index Zyx after linear normalization processing, wherein the effectiveness adjustment evaluation index Zyx is obtained by the following formula: ; Wherein, Ptz represents the adjusted transmit power, Ktz represents the adjusted communication bandwidth, Pfs represents the transmit signal power, and Kdk represents the communication bandwidth.

[0014] Preferably, S5 specifically includes the following steps: S51, pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is an effective adjustment, so as to generate a corresponding level evaluation result, the specific contents are as follows: If the validity adjustment evaluation index Zyx is less than the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment, indicating that the quality state of the received signal after adjustment does not meet the communication requirements, so as to generate a first-level evaluation result, which indicates that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment. At this time, the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk in the dynamic adjustment loading data will be reset, and a cyclic adjustment analysis will be performed, and advanced noise analysis and filtering technology will be introduced to improve the stability of signal transmission; If the effectiveness adjustment evaluation index Zyx ≥ the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, indicating that the quality status of the received signal after adjustment meets the communication requirements, so as to generate a secondary evaluation result, which is that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, and the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz are sufficient to offset the signal quality degradation caused by environmental factors, propagation loss and noise during the signal propagation process, and the received signal quality still does not meet the communication requirements. In this case, continue to maintain the current adjustment strategy and further monitor environmental changes to ensure that under dynamically changing communication conditions, the quality status of the received signal meets the communication requirements.

[0015] A communication system based on a maritime satellite, comprising an environment monitoring module, a quality analysis module, a dynamic adjustment module, a validity assessment module and an evaluation module; The environmental monitoring module is used to monitor the space environment meteorological condition state and signal propagation condition state of signal propagation according to the maritime satellite communication process, and obtain relevant meteorological environment data information and relevant propagation condition data information respectively to construct the signal propagation loss coefficient Xsh; The quality analysis module is used to collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out at this time; The dynamic adjustment module is used to monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end after receiving the dynamic adjustment signal, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; The effectiveness evaluation module is used to extract features from relevant data information in the cloud database, and associate the transmission signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and after linear normalization processing, fit and construct the effectiveness adjustment evaluation index Zyx; The evaluation module is used to pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

[0016] The present invention provides a communication method and system based on maritime satellite, which has the following beneficial effects: (1) By introducing dynamic monitoring, real-time adjustment and optimization mechanisms, the monitoring and analysis of multi-dimensional factors in the signal transmission process are effectively realized, and the transmission power and communication bandwidth can be judged and adjusted according to the real-time collected signal status to ensure the stability of communication quality; in particular, by introducing the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk, this method not only triggers timely dynamic adjustment when the signal quality decreases, but also through big data analysis in the cloud database, based on the comparison between the effectiveness adjustment evaluation index Zyx and the evaluation threshold G, it can judge whether the adjustment strategy has achieved the expected effect, effectively avoiding unnecessary over-adjustment and invalid adjustment; in summary, this communication method and system based on maritime satellites not only improves the reliability of signal transmission, but also enhances the adaptability and intelligence, and can ensure the smooth progress of communication tasks in complex and changeable environments, especially in the case of long-distance communication and emergency tasks, and can effectively guarantee the communication needs of ships and offshore platforms.

[0017] (2) By real-time monitoring of the space environment meteorological conditions and signal propagation conditions of signal propagation during maritime satellite communication, it is possible to timely obtain various meteorological and related propagation condition data information such as humidity Ssd, particle concentration Cnd and ionospheric electron density Cdz in the relevant meteorological environment data information, thereby constructing the signal propagation loss coefficient Xsh; this multi-dimensional environment perception and analysis mechanism enables the communication system to have unprecedented adaptability; in traditional maritime satellite communications, fluctuations in communication quality are often due to the fact that the propagation loss caused by environmental changes has not been fully predicted and adjusted, resulting in signal attenuation and increased noise; in contrast, this method can respond immediately to environmental changes based on the dynamic signal propagation state assessment. If the humidity Ssd, particle concentration Cnd, ionospheric electron density Cdz and signal propagation distance Lcb change and cause the propagation loss to increase, a dynamic adjustment signal can be immediately sent to adjust the transmission power and bandwidth of the signal transmitter, so that the communication signal is always kept in a good transmission state, thereby reducing the negative impact of the external environment on the signal quality and improving the stability and reliability of maritime satellite communications.

[0018] (3) After receiving the dynamic adjustment signal, the transmission power and communication bandwidth can be adjusted in real time according to the preset adjustment data. This dynamic adjustment based on sensor data and adaptive algorithm can not only effectively avoid the signal quality degradation caused by environmental factors, but also automatically select the appropriate communication strategy and optimize resource allocation. In practical applications, the power adjustment and bandwidth adjustment of the signal transmitter are not just simple responsive operations, but are performed based on the comprehensive evaluation results of a large amount of real-time data. When the dynamic adjustment signal is received, not only the transmission signal power is adjusted according to the current transmission status, but also the bandwidth is adjusted in combination with the signal propagation loss coefficient Xsh to further optimize the communication quality. By uploading the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz to the cloud database for analysis and evaluation, the effectiveness adjustment evaluation index Zyx can be compared with the preset evaluation threshold G to determine whether the adjustment has achieved the expected effect. This closed-loop feedback mechanism ensures that the communication quality in different environments can always be maintained at a good level, and effectively avoids the impact of over-adjustment and invalid adjustment on signal transmission, further improving the adaptability and intelligent optimization capabilities of the maritime satellite communication method. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flow chart of a communication method based on a maritime satellite according to the present invention; Figure 2 A block diagram of a communication system based on a maritime satellite according to the present invention; Figure 3 A logic schematic diagram of a communication method based on a maritime satellite according to the present invention; Figure 4 The figure is a comparison diagram of the effect of the received signal quality evaluation coefficient Xpg before and after dynamic adjustment of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1 See also Figure 1 and Figure 3 The present invention provides a communication method based on a maritime satellite, comprising the following steps: S1. According to the maritime satellite communication process, the space environment meteorological condition state and the signal propagation condition state of the signal propagation are monitored, and relevant meteorological environment data information and relevant propagation condition data information are obtained respectively to construct the signal propagation loss coefficient Xsh; S2. Collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out; S3. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; S4, extracting features from relevant data information in the cloud database, and correlating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the validity adjustment evaluation index Zyx after linear normalization processing; S5. Preset the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

[0022] In this embodiment, the communication method based on maritime satellites can significantly improve the quality and stability of maritime communications, especially in complex environments. First, by real-time monitoring of the spatial environmental meteorological conditions and propagation conditions of signal propagation, relevant meteorological environment data information and relevant propagation condition data information can be accurately obtained, and by constructing the signal propagation loss coefficient Xsh, the impact of environmental changes on the signal is clarified, which provides a solid foundation for subsequent signal quality evaluation. The receiving signal status data information of the receiving end collected by multiple groups of sensors is combined with the signal propagation loss coefficient Xsh to generate a receiving signal quality evaluation coefficient Xpg, and a dynamic adjustment signal is issued according to the evaluation result, which effectively avoids the problem of not meeting the communication requirements and being difficult to adjust when the signal quality decreases, thereby improving the communication process. Then, by dynamically adjusting the transmission power and communication bandwidth of the signal transmitter, the continuous stability of the signal in complex environments is guaranteed, and the signal transmission process and reliability are optimized through data uploading and feature extraction from the cloud database. In addition, by constructing the effectiveness adjustment evaluation index Zyx and comparing it with the evaluation threshold G, the effectiveness of the dynamic adjustment scheme is evaluated in real time to ensure that each adjustment can improve the signal quality and communication stability, thereby reducing the risk of communication interruption due to environmental interference and ensuring the signal transmission quality in ocean voyages, offshore platforms and fishery operations. This intelligent dynamic adjustment mechanism significantly improves the reliability, real-time and adaptability of the system, laying the foundation for the intelligent development of maritime satellite communications.

[0023] Example 2 Please refer to Figure 1 Specifically: S1 specifically includes the following steps: S11. According to the maritime satellite communication process, the space environment meteorological condition state of signal propagation and the signal propagation condition state are monitored, and relevant meteorological environment data information and relevant propagation condition data information are respectively obtained, wherein the relevant meteorological environment data information includes humidity Ssd, particle concentration Cnd and ionospheric electron density Cdz, and the relevant propagation condition data information includes signal propagation distance Lcb and signal frequency Vpv; It should be noted that humidity Ssd, particle concentration Cnd, ionospheric electron density Cdz, signal propagation distance Lcb and signal frequency Vpv data information are monitored and obtained in real time through multiple sets of sensors; humidity Ssd can be obtained through a humidity sensor, which is used to evaluate the water vapor content in the air, affecting signal attenuation and propagation; particle concentration Cnd is measured by a particle analyzer, which reflects the concentration of particles in the air and affects the scattering and attenuation of the signal; ionospheric electron density Cdz is obtained through an ionospheric detector, and the density change of the ionosphere has an important influence on the propagation of high-frequency signals; signal propagation distance Lcb and frequency Vpv are measured by the positioning system and spectrum analyzer equipment to help calculate the signal propagation loss; these data can be used in combination to effectively evaluate the quality and stability of communication signals.

[0024] S12. Based on the relevant propagation condition data information in step S11, a free space loss value Ssh is obtained by associating the signal propagation distance Lcb with the signal frequency Vpv in the same maritime satellite communication process. The free space loss value Ssh is obtained by the following formula: ; In the formula, Expressed as the speed of light.

[0025] Specifically, S1 further includes the following steps: S13, based on the relevant meteorological environment data information obtained in step S11, by associating the relevant meteorological environment data information with the free space loss value Ssh, and after linear normalization processing, constructing a signal propagation loss coefficient Xsh, the signal propagation loss coefficient Xsh is obtained by the following formula: ; In the formula, Ssd represents humidity, Cnd represents particle concentration, and Cdz represents ionospheric electron density. , , and They are respectively represented as the weight values ​​of free space loss value Ssh, humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, and A is represented as the first correction constant.

[0026] In this embodiment, by monitoring the signal propagation environment during maritime satellite communication, the adaptability and accuracy of the communication system to complex environments are effectively improved; by collecting meteorological environment data information such as humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, and combining the signal propagation distance Lcb and signal frequency Vpv propagation condition data information, a detailed data basis is provided for subsequent signal loss calculation; the accurate acquisition of this information can not only reflect the signal propagation characteristics under different meteorological and propagation conditions, but also provide a scientific basis for evaluating propagation loss; by correlating the propagation distance Lcb and the signal frequency Vpv, the free space loss value Ssh is calculated, thereby providing a quantitative physical model for the effective propagation of the signal, effectively avoiding the problem of lack of refined considerations in traditional methods, and by combining the relevant meteorological environment data information with the free space The signal propagation loss coefficient Xsh is constructed by linear normalization processing, which further improves the ability to accurately evaluate the signal propagation loss. By comprehensively considering multiple factors such as humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, the comprehensiveness and accuracy of the signal propagation loss coefficient Xsh are ensured. In addition, the linear normalization processing and weight assignment mechanism further optimize the influence of each factor, thereby achieving more accurate signal quality prediction and adjustment. On the whole, the implementation of this method can provide a more refined and dynamic loss assessment for the maritime satellite communication process, effectively improve the response speed and communication quality of maritime satellite communications, and effectively ensure the communication stability and reliability under different meteorological conditions, thereby reducing the negative impact of environmental factors on communication quality and promoting the intelligence and efficiency of maritime satellite communication technology.

[0027] Example 3 Please refer to Figure 1 Specifically: S2 specifically includes the following steps: S21. According to the signal reception condition of the signal receiving end and in combination with Fourier transform technology, the receiving signal state data information of the receiving end during the signal propagation process is collected through multiple sets of sensors, wherein the receiving signal state data information includes noise power Pgv and signal receiving strength Pqd, and the multiple sets of sensors include a noise analyzer and a power meter; S22. Based on the received signal state data information obtained in step S21, the received signal state data information is associated with the signal propagation loss coefficient Xsh, and after linear normalization processing, a received signal quality evaluation coefficient Xpg is obtained. The received signal quality evaluation coefficient Xpg is obtained by the following formula: ; In the formula, Pgv represents the noise power, Pqd represents the signal receiving strength, , and They are respectively represented as the weight values ​​of signal reception strength Pqd, signal propagation loss coefficient Xsh and noise power Pgv, and B is represented as the second correction constant.

[0028] Specifically, S2 further includes the following steps: S23, presetting a quality assessment threshold, and comparing and analyzing the quality assessment threshold with the received signal quality assessment coefficient Xpg to determine whether the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and sending a dynamic adjustment signal accordingly, the specific contents are as follows: If the received signal quality evaluation coefficient Xpg does not exceed the quality evaluation threshold, it means that the quality of the received signal at the signal receiving end does not meet the communication requirements in the case of long-distance communication, and a dynamic adjustment signal will be sent out at this time; If the received signal quality evaluation coefficient Xpg exceeds the quality evaluation threshold, it means that the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and no additional dynamic adjustment signal will be sent out at this time.

[0029] In this embodiment, by accurately evaluating the signal quality of the receiving end, the monitoring and adjustment capabilities of maritime satellite communications for long-distance communication quality are enhanced. By combining Fourier transform technology and multiple groups of sensors, including noise analyzers and power meters, the noise power Pgv and signal reception strength Pqd data of the received signal are collected to form preliminary feedback on the signal quality. These signal status data information provide a scientific data basis for subsequent quality evaluation, ensuring dynamic monitoring of signal noise and reception strength in various environments. Then, by combining the received signal status data information with the previously calculated signal propagation loss coefficient Xsh and performing linear normalization processing, a received signal quality evaluation coefficient Xpg is constructed. This process takes into account the influence of signal propagation loss and environmental factors on signal quality, thereby It provides a basis for evaluating whether the received signal meets the quality requirements; finally, by comparing with the preset quality evaluation threshold, it is determined whether the received signal quality meets the long-distance communication requirements, and decides whether to send a dynamic adjustment signal based on the evaluation result. If the received signal quality does not meet the preset standard, the adjustment signal can be sent in time to ensure the continuous optimization of the signal quality and avoid the problem of long-term signal attenuation; when the signal quality meets the requirements, unnecessary adjustments will be avoided, resources will be saved and communication efficiency will be improved. In summary, the implementation of this method can not only monitor and evaluate the signal quality of maritime satellite communications in real time, but also improve the stability and reliability of signal transmission through precise dynamic adjustment, ensure the signal transmission quality in long-distance communications, thereby effectively improving the overall performance and intelligence level of maritime satellite communications.

[0030] Example 4 Please refer to Figure 1 Specifically: S3 specifically includes the following steps: S31. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and pre-set the dynamic adjustment loading data executed by the current signal transmitting end in combination with the adaptive control algorithm, wherein the transmission signal power data information includes the transmission signal power Pfs, the communication bandwidth data information includes the communication bandwidth Kdk, and the dynamic adjustment loading data includes the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk loaded by the current signal transmitting end; It should be noted that the transmitted signal power Pfs and the communication bandwidth Kdk are obtained in real time through the power sensor and spectrum analyzer equipment at the signal transmitting end; the transmitted signal power Pfs reflects the power of the output signal of the transmitting end, which directly affects the propagation range and strength of the signal; the communication bandwidth Kdk refers to the available frequency bandwidth during the signal transmission process, which determines the signal transmission rate and bandwidth utilization efficiency; the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk are calculated through an adaptive control algorithm combined with real-time monitoring data, and are based on a real-time evaluation of the current signal propagation conditions, including environmental factors, signal quality, propagation loss and system load. The adaptive control algorithm will determine the transmission power and bandwidth that need to be adjusted through optimization calculation based on the received dynamic adjustment signal and communication quality requirements; specifically, the power adjustment coefficient TGV will adjust the transmission signal power to ensure the coverage and strength of the signal according to environmental factors, including meteorological conditions, ionospheric state and fluctuations in signal quality; the bandwidth adjustment coefficient TBK will adjust the bandwidth to improve the data transmission rate and network efficiency according to the communication bandwidth requirements and signal transmission conditions. Its role is to ensure that the communication system can automatically adjust in a changing environment, maintain stable communication quality, optimize resource utilization, and improve the response speed and flexibility of the system.

[0031] S32, extracting features from the dynamic adjustment loading data, the transmission signal power data information and the related propagation condition data information, and associating them with the signal propagation loss coefficient Xsh to obtain the adjusted transmission power Ptz, wherein the adjusted transmission power Ptz is obtained by the following formula: ; Where Pfs represents the transmitted signal power, tgv represents the power adjustment coefficient, and Lcb represents the signal propagation distance.

[0032] Specifically, S3 further includes the following steps: S33, extracting features from the dynamically adjusted loading data, the transmission signal power data information, and the communication bandwidth data information, and associating them with the adjusted transmission power Ptz constructed in step S32, to obtain the adjusted communication bandwidth Ktz, wherein the adjusted communication bandwidth Ktz is obtained by the following formula: ; In the formula, Kdk represents the communication bandwidth, tbk represents the bandwidth adjustment coefficient, and Pfs represents the transmission signal power. It is expressed as the degree of adjustment of the transmission power; S34, after executing dynamic adjustment loading data according to the current signal transmitting end, the constructed adjusted transmitting power Ptz and adjusted communication bandwidth Ktz are uploaded to the cloud database.

[0033] Table 1 shows the results of obtaining the adjusted transmit power Ptz and the adjusted communication bandwidth Ktz: Table 1 In this embodiment, the adaptive capability and communication quality of the maritime satellite communication system are effectively improved by accurately dynamically regulating and adjusting the signal power and communication bandwidth of the transmitter. After receiving the dynamic adjustment signal, the transmission signal power Pfs and the communication bandwidth Kdk of the signal transmitter are monitored and recorded, and at the same time, the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk of the transmitter are reasonably adjusted according to the preset dynamic adjustment loading data through the adaptive control algorithm. Such operation ensures that the signal transmitter can flexibly respond to environmental changes and perform signal adjustment in real time, thereby providing basic data support for subsequent adjustments. By associating these dynamic adjustment loading data with the signal propagation loss coefficient Xsh, the adjusted transmission power Ptz is accurately calculated to ensure the power stability of the signal in long-distance propagation, thereby effectively reducing the loss caused by Signal attenuation caused by environmental changes; the adjusted transmission power Ptz is further combined with the communication bandwidth Kdk and the bandwidth adjustment coefficient tbk to obtain the adjusted communication bandwidth Ktz. This process ensures that the communication bandwidth can be optimized and adjusted under different conditions to ensure smooth and stable data transmission; finally, the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz are uploaded to the cloud database for real-time monitoring and management; overall, through precise dynamic adjustment and intelligent management, the transmission capacity and response speed of the maritime satellite communication system are improved, ensuring that high-quality communication services can be provided stably and reliably in complex marine environments; this flexible adjustment mechanism not only improves communication efficiency, but also effectively responds to the challenges brought about by environmental changes, ensuring that long-term and large-scale communication tasks can be successfully completed.

[0034] Example 5 Please refer to Figure 1Specifically: S4 specifically includes the following steps: S41, extracting features from relevant data information in the cloud database, and associating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the effectiveness adjustment evaluation index Zyx after linear normalization processing, wherein the effectiveness adjustment evaluation index Zyx is obtained by the following formula: ; Wherein, Ptz represents the adjusted transmit power, Ktz represents the adjusted communication bandwidth, Pfs represents the transmit signal power, and Kdk represents the communication bandwidth.

[0035] Specifically, S5 includes the following steps: S51, pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is an effective adjustment, so as to generate a corresponding level evaluation result, the specific contents are as follows: If the validity adjustment evaluation index Zyx is less than the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment, indicating that the quality state of the received signal after adjustment does not meet the communication requirements, so as to generate a first-level evaluation result, which indicates that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment. At this time, the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk in the dynamic adjustment loading data will be reset, and a cyclic adjustment analysis will be performed, and advanced noise analysis and filtering technology will be introduced to improve the stability of signal transmission; If the effectiveness adjustment evaluation index Zyx ≥ the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, indicating that the quality status of the received signal after adjustment meets the communication requirements, so as to generate a secondary evaluation result, which is that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, and the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz are sufficient to offset the signal quality degradation caused by environmental factors, propagation loss and noise during the signal propagation process, and the received signal quality still does not meet the communication requirements. In this case, continue to maintain the current adjustment strategy and further monitor environmental changes to ensure that under dynamically changing communication conditions, the quality status of the received signal meets the communication requirements.

[0036] In this embodiment, through precise feature extraction and effectiveness evaluation, a more intelligent and dynamically responsive adjustment mechanism is provided for the maritime satellite communication system; by associating the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz in the cloud database with the received signal quality evaluation coefficient Xpg, and after linear normalization processing, the effectiveness adjustment evaluation index Zyx is fitted to reflect the effectiveness of the current dynamic adjustment; by fitting the effectiveness adjustment evaluation index Zyx, the effect of signal adjustment can be evaluated in real time, and a basis for further optimization can be provided; this process ensures that in a complex and changeable environment, the communication system can effectively deal with interference and noise factors, thereby improving the quality and stability of the signal; by setting the evaluation threshold G, the current dynamic Whether the state adjustment has achieved the expected effect; if the effectiveness adjustment evaluation index Zyx is less than the evaluation threshold G, it will automatically identify that the adjustment is invalid, and readjust the power and bandwidth adjustment coefficients in time, and introduce noise analysis and filtering technology to ensure the stability of signal quality; if the effectiveness adjustment evaluation index Zyx is greater than or equal to the evaluation threshold G, it indicates that the current adjustment is effective, and the state will continue to be maintained and environmental monitoring will be strengthened; this dual evaluation mechanism enables the maritime satellite communication system to be continuously optimized under different communication conditions, ensuring that the received signal always meets the communication requirements, and even maintaining high-quality signal transmission in harsh environments; this not only improves the system's automation level, but also enhances the stability and reliability of the communication process, providing stronger guarantees for long-term remote communication tasks.

[0037] Example 6 Please refer to Figure 1 , Figure 2 and Figure 4 ,Specifically: A communication system based on maritime satellite includes an ,environmental monitoring module, a quality analysis module, a dynamic adjustment module, an ,effectiveness evaluation module and an evaluation module; The environmental monitoring module is used to monitor the space environment meteorological condition state and signal propagation condition state of signal propagation according to the maritime satellite communication process, and obtain relevant meteorological environment data information and relevant propagation condition data information respectively to construct the signal propagation loss coefficient Xsh; The quality analysis module is used to collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out at this time; The dynamic adjustment module is used to monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end after receiving the dynamic adjustment signal, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; The effectiveness evaluation module is used to extract features from relevant data information in the cloud database, and associate the transmission signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and after linear normalization processing, fit and construct the effectiveness adjustment evaluation index Zyx; The evaluation module is used to pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

[0038] In this embodiment, the communication system based on maritime satellites significantly improves the quality and reliability of maritime communications through the collaborative work of multiple modules; first, the environmental monitoring module monitors the space environmental meteorological conditions and propagation conditions in real time during the signal propagation process, accurately obtains relevant meteorological environment data information and relevant propagation condition data information, and constructs the signal propagation loss coefficient Xsh to ensure that the system can respond quickly to changes in the external environment; the quality analysis module collects the status data of the received signal and combines the signal propagation loss coefficient Xsh to generate the received signal quality evaluation coefficient Xpg to ensure that the communication quality is always within an acceptable range; if the signal quality does not meet the standard, it triggers a dynamic adjustment signal to ensure that communication is not interrupted ; The dynamic adjustment module adjusts the power and communication bandwidth of the signal transmitter according to the real-time signal quality to ensure that the signal remains stable in a complex environment, and uploads the adjusted data to the cloud database for further analysis; The effectiveness evaluation module conducts in-depth analysis of the data in the cloud database, and generates the effectiveness adjustment evaluation index Zyx in combination with the received signal quality evaluation coefficient Xpg, and conducts real-time evaluation of the adjustment effect; The evaluation module compares the effectiveness adjustment evaluation index Zyx with the preset evaluation threshold G to accurately determine whether the current adjustment is effective, ensuring that the system can timely optimize the communication strategy in a changing environment, thereby improving the communication quality. The specific comparison of the effect of the received signal quality evaluation coefficient Xpg before and after dynamic adjustment is shown in the figure. Figure 4 As shown in the figure, this complete system can dynamically optimize signal transmission, enhance signal stability during ocean voyages, ensure that maritime communications can still operate efficiently in complex and dynamic environments, improve the system's automation and reliability, and effectively solve the problem of signal quality fluctuations caused by environmental changes in traditional maritime communications.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A communication method based on a maritime satellite, characterized in that: The following steps are involved: S1. According to the maritime satellite communication process, the space environment meteorological condition state and the signal propagation condition state of the signal propagation are monitored, and relevant meteorological environment data information and relevant propagation condition data information are obtained respectively to construct the signal propagation loss coefficient Xsh; S2. Collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out; S3. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; S4, extracting features from relevant data information in the cloud database, and correlating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the validity adjustment evaluation index Zyx after linear normalization processing; S5. Preset the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

2. A communication method based on maritime satellite according to claim 1, characterized in that: S1 specifically includes the following steps: S11. According to the maritime satellite communication process, the space environment meteorological condition state of signal propagation and the signal propagation condition state are monitored, and relevant meteorological environment data information and relevant propagation condition data information are respectively obtained, wherein the relevant meteorological environment data information includes humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, and the relevant propagation condition data information includes signal propagation distance Lcb and signal frequency Vpv; S12. Based on the relevant propagation condition data information in step S11, a free space loss value Ssh is obtained by associating the signal propagation distance Lcb with the signal frequency Vpv in the same maritime satellite communication process. The free space loss value Ssh is obtained by the following formula: ； In the formula, Expressed as the speed of light.

3. A communication method based on maritime satellite according to claim 2, characterized in that: S1 specifically also includes the following steps: S13, based on the relevant meteorological environment data information obtained in step S11, by associating the relevant meteorological environment data information with the free space loss value Ssh, and after linear normalization processing, constructing a signal propagation loss coefficient Xsh, the signal propagation loss coefficient Xsh is obtained by the following formula: ； In the formula, Ssd represents humidity, Cnd represents particle concentration, and Cdz represents ionospheric electron density. , , and They are respectively represented as the weight values ​​of free space loss value Ssh, humidity Ssd, particulate matter concentration Cnd and ionospheric electron density Cdz, and A is represented as the first correction constant.

4. A communication method based on maritime satellite according to claim 3, characterized in that: S2 specifically includes the following steps: S21. According to the signal reception condition of the signal receiving end and in combination with Fourier transform technology, the receiving signal state data information of the receiving end during the signal propagation process is collected through multiple sets of sensors, wherein the receiving signal state data information includes noise power Pgv and signal receiving strength Pqd, and the multiple sets of sensors include a noise analyzer and a power meter; S22. Based on the received signal state data information obtained in step S21, the received signal state data information is associated with the signal propagation loss coefficient Xsh, and after linear normalization processing, a received signal quality evaluation coefficient Xpg is obtained. The received signal quality evaluation coefficient Xpg is obtained by the following formula: ； In the formula, Pgv represents the noise power, Pqd represents the signal receiving strength, , and They are respectively represented as the weight values ​​of signal reception strength Pqd, signal propagation loss coefficient Xsh and noise power Pgv, and B is represented as the second correction constant.

5. A communication method based on maritime satellite according to claim 4, characterized in that: S2 specifically also includes the following steps: S23, presetting a quality assessment threshold, and comparing and analyzing the quality assessment threshold with the received signal quality assessment coefficient Xpg to determine whether the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and sending a dynamic adjustment signal accordingly, the specific contents are as follows: If the received signal quality evaluation coefficient Xpg does not exceed the quality evaluation threshold, it means that the quality of the received signal at the signal receiving end does not meet the communication requirements in the case of long-distance communication, and a dynamic adjustment signal will be sent out at this time; If the received signal quality evaluation coefficient Xpg exceeds the quality evaluation threshold, it means that the quality state of the received signal at the signal receiving end meets the communication requirements in the case of long-distance communication, and no additional dynamic adjustment signal will be sent out at this time.

6. A communication method based on maritime satellite according to claim 5, characterized in that: S3 specifically includes the following steps: S31. After receiving the dynamic adjustment signal, monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end, and pre-set the dynamic adjustment loading data executed by the current signal transmitting end in combination with the adaptive control algorithm, wherein the transmission signal power data information includes the transmission signal power Pfs, the communication bandwidth data information includes the communication bandwidth Kdk, and the dynamic adjustment loading data includes the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk loaded by the current signal transmitting end; S32, extracting features from the dynamic adjustment loading data, the transmission signal power data information and the related propagation condition data information, and associating them with the signal propagation loss coefficient Xsh to obtain the adjusted transmission power Ptz, wherein the adjusted transmission power Ptz is obtained by the following formula: ； Where Pfs represents the transmitted signal power, tgv represents the power adjustment coefficient, and Lcb represents the signal propagation distance.

7. A communication method based on maritime satellite according to claim 6, characterized in that: S3 specifically also includes the following steps: S33, extracting features from the dynamically adjusted loading data, the transmission signal power data information, and the communication bandwidth data information, and associating them with the adjusted transmission power Ptz constructed in step S32, to obtain the adjusted communication bandwidth Ktz, wherein the adjusted communication bandwidth Ktz is obtained by the following formula: ； In the formula, Kdk represents the communication bandwidth, tbk represents the bandwidth adjustment coefficient, and Pfs represents the transmission signal power. It is expressed as the degree of adjustment of the transmission power; S34, after executing dynamic adjustment loading data according to the current signal transmitting end, the constructed adjusted transmitting power Ptz and adjusted communication bandwidth Ktz are uploaded to the cloud database.

8. A communication method based on maritime satellite according to claim 7, characterized in that: S4 specifically includes the following steps: S41, extracting features from relevant data information in the cloud database, and associating the transmitted signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and fitting and constructing the effectiveness adjustment evaluation index Zyx after linear normalization processing, wherein the effectiveness adjustment evaluation index Zyx is obtained by the following formula: ； Wherein, Ptz represents the adjusted transmit power, Ktz represents the adjusted communication bandwidth, Pfs represents the transmit signal power, and Kdk represents the communication bandwidth.

9. A communication method based on maritime satellite according to claim 8, characterized in that: S5 specifically includes the following steps: S51, pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is an effective adjustment, so as to generate a corresponding level evaluation result, the specific contents are as follows: If the validity adjustment evaluation index Zyx is less than the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment, indicating that the quality state of the received signal after adjustment does not meet the communication requirements, so as to generate a first-level evaluation result, which indicates that the dynamic adjustment loading data executed by the current signal transmitting end is invalid adjustment. At this time, the power adjustment coefficient tgv and the bandwidth adjustment coefficient tbk in the dynamic adjustment loading data will be reset, and a cyclic adjustment analysis will be performed, and advanced noise analysis and filtering technology will be introduced to improve the stability of signal transmission; If the effectiveness adjustment evaluation index Zyx ≥ the evaluation threshold G, it means that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, indicating that the quality status of the received signal after adjustment meets the communication requirements, so as to generate a secondary evaluation result, which is that the dynamic adjustment loading data executed by the current signal transmitting end is a valid adjustment, and the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz are sufficient to offset the signal quality degradation caused by environmental factors, propagation loss and noise during the signal propagation process, and the received signal quality still does not meet the communication requirements. In this case, continue to maintain the current adjustment strategy and further monitor environmental changes to ensure that under dynamically changing communication conditions, the quality status of the received signal meets the communication requirements.

10. A communication system based on a maritime satellite, used to implement a communication method based on a maritime satellite as described in any one of claims 1 to 9, characterized in that: It includes environment monitoring module, quality analysis module, dynamic adjustment module, effectiveness assessment module and evaluation module; The environmental monitoring module is used to monitor the space environment meteorological condition state and signal propagation condition state of signal propagation according to the maritime satellite communication process, and obtain relevant meteorological environment data information and relevant propagation condition data information respectively to construct the signal propagation loss coefficient Xsh; The quality analysis module is used to collect the received signal status data information of the receiving end during the signal propagation process through multiple groups of sensors, and associate it with the signal propagation loss coefficient Xsh to obtain the received signal quality evaluation coefficient Xpg. If the received signal quality evaluation coefficient Xpg does not exceed the preset quality evaluation threshold, a dynamic adjustment signal will be sent out at this time; The dynamic adjustment module is used to monitor and record the transmission signal power data information and communication bandwidth data information of the current signal transmitting end after receiving the dynamic adjustment signal, and construct the adjusted transmission power Ptz and the adjusted communication bandwidth Ktz respectively according to the dynamic adjustment loading data performed by the current signal transmitting end in advance, and upload them to the cloud database; The effectiveness evaluation module is used to extract features from relevant data information in the cloud database, and associate the transmission signal power data information and the communication bandwidth data information with the received signal quality evaluation coefficient Xpg, and after linear normalization processing, fit and construct the effectiveness adjustment evaluation index Zyx; The evaluation module is used to pre-set the evaluation threshold G, and compare and analyze the effectiveness adjustment evaluation index Zyx with the evaluation threshold G to comprehensively analyze whether the dynamic adjustment loading data performed by the current signal transmitting end is a valid adjustment, so as to generate a corresponding level evaluation result.

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