Geological disaster auxiliary monitoring system and method based on changes in through-the-earth communication signals

Abstract

The application provides a geological disaster auxiliary monitoring system and method based on changes of through-the-earth communication signals, and the system comprises: a through-the-earth communication device layout module, which is used for laying through-the-earth communication devices in a target region; a through-the-earth communication signal data acquisition module, which is used for monitoring and acquiring through-the-earth communication signal data of the through-the-earth communication devices based on a geological disaster auxiliary monitoring platform; a through-the-earth communication signal data analysis module, which is used for analyzing the through-the-earth communication signal data and obtaining through-the-earth communication signal change anomaly analysis results; and a geological disaster discrimination analysis module, which is used for generating discrimination analysis decisions of geological disasters according to the through-the-earth communication signal change anomaly analysis results. The application expands the application scenarios of through-the-earth communication by analyzing the through-the-earth communication signal data, generating discrimination analysis decisions of geological disasters according to the through-the-earth communication signal change anomaly analysis results, and is beneficial to improving the early discrimination analysis quality of geological disasters.

Description

Technical Field

[0001] This invention relates to the field of geological disaster monitoring technology, and in particular to a geological disaster auxiliary monitoring system and method based on changes in through-ground communication signals. Background Technology

[0002] Geological disasters include landslides, debris flows, collapses, ground subsidence, ground subsidence, and ground fissures. The occurrence of geological disasters is uncertain and sudden, and they bring serious impacts. Therefore, early warning and monitoring of geological disasters are very necessary.

[0003] Trans-Earth communication (TEH) technology uses the earth's structure itself as a transmission medium. It employs very low frequency (VLF) or low frequency bands, inserting electrodes into the soil layer. Using the soil layer as a dielectric, signals transmitted by one electrode penetrate the soil layer and induce signals on the other electrode, thus transmitting information. TDH technology enables two-way communication between underground construction projects and the surface. When combined with shortwave communication technology for networking, TDH technology is suitable for monitoring and early warning of soil changes in complex geological environments.

[0004] Due to the characteristics of the electric field distribution, changes in the transmission process of through-ground communication signals can reflect soil conditions. In existing mining and tunnel construction processes, monitoring through-ground communication signals can reveal changes in soil conditions, enabling timely auxiliary analysis of the possibility of geological disasters and helping to detect and prevent safety accidents in advance.

[0005] The existing auxiliary monitoring process for geological disasters suffers from problems such as high equipment investment costs, ineffective monitoring in complex geographical environments, relatively simple monitoring methods, and insufficient comprehensiveness and accuracy of monitoring data, which affect the early identification, analysis, and response decisions of geological disasters.

[0006] Therefore, it is necessary to provide a geological disaster auxiliary monitoring system and method based on changes in ground-penetrating communication signals. Summary of the Invention

[0007] This invention provides a geological disaster auxiliary monitoring system and method based on changes in through-ground communication signals. By analyzing through-ground communication signal data and based on the analysis results of abnormal changes in through-ground communication signals, a discriminant analysis decision for geological disasters is generated, which expands the application scenarios of through-ground communication and helps to improve the quality of early discriminant analysis of geological disasters.

[0008] This invention provides a geological disaster auxiliary monitoring system based on changes in through-ground communication signals, comprising:

[0009] A ground-penetrating communication device deployment module, used to deploy ground-penetrating communication devices within a target area;

[0010] The ground-penetrating communication signal data acquisition module is used to monitor and acquire ground-penetrating communication signal data of the ground-penetrating communication device based on the geological disaster auxiliary monitoring platform;

[0011] The ground-penetrating communication signal data analysis module is used to analyze ground-penetrating communication signal data and obtain the analysis results of ground-penetrating communication signal anomaly changes;

[0012] The geological hazard discrimination analysis module is used to generate discrimination analysis decisions on geological hazards based on the analysis results of abnormal changes in through-ground communication signals.

[0013] Furthermore, the ground-penetrating communication device deployment module includes a deployment area determination unit and a ground-penetrating communication device deployment unit;

[0014] The deployment area determination unit is used to determine the target area for deploying ground-penetrating communication devices based on the needs of geological disaster auxiliary monitoring and soil data within the target area.

[0015] A ground-penetrating communication device deployment unit is used to deploy ground-penetrating communication devices in a target area; the ground-penetrating communication device includes a pair of buried electrodes, or multiple pairs of buried electrodes, or several groups of buried electrodes.

[0016] Furthermore, the ground-penetrating communication signal data acquisition module includes a data acquisition network construction unit and a ground-penetrating communication signal data acquisition unit;

[0017] The data acquisition network construction unit is used to construct a data acquisition network connecting the ground-penetrating communication device and the geological disaster auxiliary monitoring platform based on the geological disaster auxiliary monitoring platform and using wireless communication technology.

[0018] The ground-penetrating communication signal data acquisition unit is used to acquire ground-penetrating communication signal data emitted by the ground-penetrating signal transmitting component of the ground-penetrating communication device according to the data acquisition network.

[0019] Furthermore, the ground-penetrating communication signal data acquisition unit includes a signal-to-noise ratio change data acquisition subunit and an average electric field intensity data acquisition subunit;

[0020] The signal-to-noise ratio change data acquisition subunit is used to monitor the change in the ratio of signal power to noise power of the ground-penetrating communication signal and obtain the signal-to-noise ratio monitoring value.

[0021] The average electric field strength data acquisition subunit is used to monitor and acquire the changes in the average electric field strength of the ground-penetrating communication signal, and to obtain the average electric field strength of the ground-penetrating communication signal.

[0022] Furthermore, the ground-penetrating communication signal data analysis module includes a data analysis unit and a data analysis result confirmation unit;

[0023] The data analysis unit is used to compare the signal-to-noise ratio (SNR) monitoring value with a preset SNR threshold and the average electric field strength with a preset average electric field strength threshold. If the SNR monitoring value is greater than the preset SNR threshold and the average electric field strength is less than the preset average electric field strength threshold, then a first analysis result of the abnormal ground-penetrating communication signal is generated.

[0024] The data analysis result confirmation unit is used to perform a probability analysis of the analysis result being abnormal based on the first analysis result and several comparative analysis results, and to determine the abnormal analysis result of the ground-penetrating communication signal change based on the probability analysis result.

[0025] Furthermore, the data analysis result confirmation unit includes a comparative analysis result generation subunit and an anomaly probability analysis subunit;

[0026] The comparative analysis result generation sub-unit is used to perform the following operations based on the geological disaster auxiliary monitoring platform: after resetting the ground-penetrating communication device, perform the first comparative monitoring of ground-penetrating communication signal anomalies and obtain the first comparative analysis result; after performing parameter adjustment control processing on the ground-penetrating communication device, perform the second comparative monitoring of ground-penetrating communication signal anomalies and obtain the second comparative analysis result; and after performing interference suppression processing on the ground-penetrating communication device, perform the third comparative monitoring of ground-penetrating communication signal anomalies and obtain the third comparative analysis result.

[0027] The anomaly probability analysis subunit is used to input the first analysis result, the first comparative analysis result, the second comparative analysis result, and the third comparative analysis result into a preset probability prediction model to obtain the probability value of the analysis result being abnormal. If the probability value is greater than the preset probability threshold, the first analysis result is determined to be the analysis result of the abnormal change in the ground-penetrating communication signal.

[0028] Furthermore, the geological hazard discrimination analysis module includes a discrimination analysis decision matching reference library construction unit and a discrimination analysis decision acquisition unit;

[0029] The discriminant analysis decision matching reference library construction unit is used to construct a discriminant analysis decision matching reference library between historical analysis results and geological disaster discriminant analysis decision content based on historical analysis results of abnormal changes in ground-penetrating communication signals and geological disaster discriminant analysis decision content library obtained from the big data platform.

[0030] The discriminant analysis decision acquisition unit is used to acquire geological disaster discriminant analysis decisions based on the analysis results of anomalies in through-ground communication signals and a discriminant analysis decision matching reference library.

[0031] Furthermore, the discriminant analysis decision matching reference library construction unit includes a historical analysis result evaluation subunit and a discriminant analysis decision matching reference library generation subunit;

[0032] The historical analysis result evaluation subunit is used to predict and analyze the abnormal changes in ground-penetrating communication signals in the historical analysis results based on a preset neural network model, and obtain the impact value on the generation of geological disaster factors; based on a preset clustering analysis model, it performs clustering analysis on several historical analysis results, obtains the clustering analysis results, and obtains the first category with the most content in the clustering analysis results.

[0033] The discriminant analysis decision matching reference library generation subunit is used to set several levels of geological hazard discriminant analysis decision content based on the geological hazard discriminant analysis decision content library obtained from the big data platform, combined with the magnitude of the impact value; and to set several inclusion items of geological hazard discriminant analysis decision content based on the number of contents in the first category; and to generate a matching correspondence between historical analysis results and geological hazard discriminant analysis decision content based on the impact value and level, as well as the number of contents and inclusion items, and to generate a discriminant analysis decision matching reference library based on the matching correspondence.

[0034] Furthermore, it also includes a ground-penetrating communication signal change data management module, used to manage and use ground-penetrating communication signal change data; the ground-penetrating communication signal change data management module includes a data aggregation unit and a data usage unit;

[0035] The data aggregation unit is used to extract several patterns of change in ground-penetrating communication signals based on the change data of ground-penetrating communication signals, and to generate several visualization charts and data analysis templates based on these patterns.

[0036] The data utilization unit is used to manage and share visual charts and data analysis templates based on the geological disaster auxiliary monitoring platform and using blockchain technology. These are then applied to the display of the geological disaster early warning management platform, the construction of BIM models of target areas, and the construction of three-dimensional soil analysis models of target areas.

[0037] Geological hazard auxiliary monitoring methods based on changes in ground-penetrating communication signals include:

[0038] S1: Deploy ground-penetrating communication devices within the target area;

[0039] S2: Based on the geological disaster auxiliary monitoring platform, monitor and acquire the ground-penetrating communication signal data of the ground-penetrating communication device;

[0040] S3: Analyze ground-penetrating communication signal data to obtain the results of anomaly analysis of ground-penetrating communication signal changes;

[0041] S4: Based on the analysis results of abnormal changes in ground-penetrating communication signals, generate a decision-making analysis for geological hazards.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects: by analyzing through-ground communication signal data and based on the analysis results of abnormal changes in through-ground communication signals, it generates a decision-making process for geological disasters, expands the application scenarios of through-ground communication, and helps to improve the quality of early-stage decision-making analysis of geological disasters.

[0043] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0044] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0045] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0046] Figure 1 A schematic diagram of a geological disaster auxiliary monitoring system based on changes in ground-penetrating communication signals;

[0047] Figure 2 This is a schematic diagram of the layout module structure of the ground-penetrating communication device in a geological disaster auxiliary monitoring system based on changes in ground-penetrating communication signals.

[0048] Figure 3 This is a schematic diagram illustrating the steps of a geological disaster auxiliary monitoring method based on changes in ground-penetrating communication signals. Detailed Implementation

[0049] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0050] This invention provides a geological disaster auxiliary monitoring system based on changes in ground-penetrating communication signals, such as... Figure 1 As shown, it includes:

[0051] A ground-penetrating communication device deployment module, used to deploy ground-penetrating communication devices within a target area;

[0052] The ground-penetrating communication signal data acquisition module is used to monitor and acquire ground-penetrating communication signal data of the ground-penetrating communication device based on the geological disaster auxiliary monitoring platform;

[0053] The ground-penetrating communication signal data analysis module is used to analyze ground-penetrating communication signal data and obtain the analysis results of ground-penetrating communication signal anomaly changes;

[0054] The geological hazard discrimination analysis module is used to generate discrimination analysis decisions on geological hazards based on the analysis results of abnormal changes in through-ground communication signals.

[0055] The working principle of the above technical solution is as follows: the ground-penetrating communication device deployment module is used to deploy ground-penetrating communication devices in the target area;

[0056] The ground-penetrating communication signal data acquisition module is used to monitor and acquire ground-penetrating communication signal data of the ground-penetrating communication device based on the geological disaster auxiliary monitoring platform;

[0057] The ground-penetrating communication signal data analysis module is used to analyze ground-penetrating communication signal data and obtain the analysis results of ground-penetrating communication signal anomaly changes;

[0058] The geological hazard discrimination analysis module is used to generate discrimination analysis decisions on geological hazards based on the analysis results of abnormal changes in through-ground communication signals.

[0059] The beneficial effects of the above technical solution are as follows: By analyzing the ground-penetrating communication signal data and based on the analysis results of abnormal changes in the ground-penetrating communication signal, a decision-making process for the identification of geological disasters is generated, which expands the application scenarios of ground-penetrating communication and helps to improve the quality of early identification analysis of geological disasters.

[0060] In one embodiment, such as Figure 2 As shown, the ground-penetrating communication device deployment module includes a deployment area determination unit and a ground-penetrating communication device deployment unit;

[0061] The deployment area determination unit is used to determine the target area for deploying ground-penetrating communication devices based on the needs of geological disaster auxiliary monitoring and soil data within the target area.

[0062] A ground-penetrating communication device deployment unit is used to deploy ground-penetrating communication devices in a target area; the ground-penetrating communication device includes a pair of buried electrodes, or multiple pairs of buried electrodes, or several groups of buried electrodes.

[0063] The working principle of the above technical solution is as follows: the ground-penetrating communication device deployment module includes a deployment area determination unit and a ground-penetrating communication device deployment unit;

[0064] The deployment area determination unit is used to determine the target area for deploying ground-penetrating communication devices based on the needs of geological disaster auxiliary monitoring and soil data within the target area.

[0065] A ground-penetrating communication device deployment unit is used to deploy ground-penetrating communication devices in a target area; the ground-penetrating communication device includes a pair of buried electrodes, or multiple pairs of buried electrodes, or several groups of buried electrodes.

[0066] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, by determining the target area for deploying the ground-penetrating communication device and deploying the ground-penetrating communication device, a foundation and conditions are provided for subsequent auxiliary monitoring of geological disasters.

[0067] In one embodiment, the ground-penetrating communication signal data acquisition module includes a data acquisition network construction unit and a ground-penetrating communication signal data acquisition unit;

[0068] The data acquisition network construction unit is used to construct a data acquisition network connecting the ground-penetrating communication device and the geological disaster auxiliary monitoring platform based on the geological disaster auxiliary monitoring platform and using wireless communication technology.

[0069] The ground-penetrating communication signal data acquisition unit is used to acquire ground-penetrating communication signal data emitted by the ground-penetrating signal transmitting component of the ground-penetrating communication device according to the data acquisition network.

[0070] The working principle of the above technical solution is as follows: the ground-penetrating communication signal data acquisition module includes a data acquisition network construction unit and a ground-penetrating communication signal data acquisition unit;

[0071] The data acquisition network construction unit is used to construct a data acquisition network connecting the ground-penetrating communication device and the geological disaster auxiliary monitoring platform based on the geological disaster auxiliary monitoring platform and using wireless communication technology.

[0072] The ground-penetrating communication signal data acquisition unit is used to acquire ground-penetrating communication signal data emitted by the ground-penetrating signal transmitting component of the ground-penetrating communication device according to the data acquisition network.

[0073] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, ground-penetrating communication signal data can be obtained through the signal data acquisition network, which can ensure the smooth progress of monitoring.

[0074] In one embodiment, the ground-penetrating communication signal data acquisition unit includes a signal-to-noise ratio change data acquisition subunit and an average electric field intensity data acquisition subunit;

[0075] The signal-to-noise ratio change data acquisition subunit is used to monitor the change in the ratio of signal power to noise power of the ground-penetrating communication signal and obtain the signal-to-noise ratio monitoring value.

[0076] The average electric field strength data acquisition subunit is used to monitor and acquire the changes in the average electric field strength of the ground-penetrating communication signal, and to obtain the average electric field strength of the ground-penetrating communication signal.

[0077] The working principle of the above technical solution is as follows: the ground-penetrating communication signal data acquisition unit includes a signal-to-noise ratio change data acquisition subunit and an average electric field intensity data acquisition subunit;

[0078] The signal-to-noise ratio change data acquisition subunit is used to monitor the change in the ratio of signal power to noise power of the ground-penetrating communication signal and obtain the signal-to-noise ratio monitoring value.

[0079] The average electric field strength data acquisition subunit is used to monitor and acquire the changes in the average electric field strength of the ground-penetrating communication signal, and to obtain the average electric field strength of the ground-penetrating communication signal.

[0080] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, effective change data can be obtained through the analysis of signal-to-noise ratio and average electric field strength data.

[0081] In one embodiment, the ground-penetrating communication signal data analysis module includes a data analysis unit and a data analysis result confirmation unit;

[0082] The data analysis unit compares the signal-to-noise ratio (SNR) monitoring value with a preset SNR threshold and the average electric field strength with a preset average electric field strength threshold. If the SNR monitoring value is greater than the preset SNR threshold and the average electric field strength is less than the preset average electric field strength threshold, a first analysis result indicating an anomaly in the ground-penetrating communication signal is generated. During normal ground-penetrating communication, the ratio of signal power to noise power received by the monitoring module is SNR1, and SNR1 is set as the SNR threshold. After the first time point, the ratio of signal power to noise power becomes SNR2, and SNR2-SNR1 is greater than a certain threshold, such as greater than 10dB, thus identifying one factor affecting the first analysis result. During normal ground-penetrating communication, the monitored average electric field strength is E1, and E1 is set as the average electric field strength threshold. After the first time point, the monitored average electric field strength is E2, and E1-E2 is greater than a certain threshold, such as 20V / m, thus identifying another factor affecting the first analysis result.

[0083] The data analysis result confirmation unit is used to perform a probability analysis of the analysis result being abnormal based on the first analysis result and several comparative analysis results, and to determine the abnormal analysis result of the ground-penetrating communication signal change based on the probability analysis result.

[0084] The working principle of the above technical solution is as follows: the ground-penetrating communication signal data analysis module includes a data analysis unit and a data analysis result confirmation unit;

[0085] The data analysis unit is used to compare the signal-to-noise ratio (SNR) monitoring value with a preset SNR threshold and the average electric field strength with a preset average electric field strength threshold. If the SNR monitoring value is greater than the preset SNR threshold and the average electric field strength is less than the preset average electric field strength threshold, then a first analysis result of the abnormal ground-penetrating communication signal is generated.

[0086] The data analysis result confirmation unit is used to perform a probability analysis of the analysis result being abnormal based on the first analysis result and several comparative analysis results, and to determine the abnormal analysis result of the ground-penetrating communication signal change based on the probability analysis result.

[0087] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, through the analysis of the data on changes in ground-penetrating communication signals and the confirmation of the analysis results, accurate anomaly analysis results can be obtained.

[0088] In one embodiment, the data analysis result confirmation unit includes a comparative analysis result generation subunit and an anomaly probability analysis subunit;

[0089] The comparative analysis result generation sub-unit is used to perform the following operations based on the geological disaster auxiliary monitoring platform: after resetting the ground-penetrating communication device, perform the first comparative monitoring of ground-penetrating communication signal anomalies and obtain the first comparative analysis result; after performing parameter adjustment control processing on the ground-penetrating communication device, perform the second comparative monitoring of ground-penetrating communication signal anomalies and obtain the second comparative analysis result; and after performing interference suppression processing on the ground-penetrating communication device, perform the third comparative monitoring of ground-penetrating communication signal anomalies and obtain the third comparative analysis result.

[0090] The anomaly probability analysis subunit is used to input the first analysis result, the first comparative analysis result, the second comparative analysis result, and the third comparative analysis result into a preset probability prediction model to obtain the probability value of the analysis result being abnormal. If the probability value is greater than the preset probability threshold, the first analysis result is determined to be the analysis result of the abnormal change in the ground-penetrating communication signal.

[0091] The working principle of the above technical solution is as follows: the data analysis result confirmation unit includes a comparative analysis result generation subunit and an anomaly probability analysis subunit;

[0092] The comparative analysis result generation sub-unit is used to perform the following operations based on the geological disaster auxiliary monitoring platform: after resetting the ground-penetrating communication device, perform the first comparative monitoring of ground-penetrating communication signal anomalies and obtain the first comparative analysis result; after performing parameter adjustment control processing on the ground-penetrating communication device, perform the second comparative monitoring of ground-penetrating communication signal anomalies and obtain the second comparative analysis result; and after performing interference suppression processing on the ground-penetrating communication device, perform the third comparative monitoring of ground-penetrating communication signal anomalies and obtain the third comparative analysis result.

[0093] The anomaly probability analysis subunit is used to input the first analysis result, the first comparative analysis result, the second comparative analysis result, and the third comparative analysis result into a preset probability prediction model to obtain the probability value of the analysis result being abnormal. If the probability value is greater than the preset probability threshold, the first analysis result is determined to be the analysis result of the abnormal change in the ground-penetrating communication signal.

[0094] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, through the confirmation and probability analysis of the data analysis results, the authenticity and effectiveness of the analysis results of the abnormal changes in the ground-penetrating communication signal can be guaranteed, providing an accurate reference for the auxiliary decision-making of geological disasters.

[0095] In one embodiment, the geological hazard discrimination analysis module includes a discrimination analysis decision matching reference library construction unit and a discrimination analysis decision acquisition unit;

[0096] The discriminant analysis decision matching reference library construction unit is used to construct a discriminant analysis decision matching reference library between historical analysis results and geological disaster discriminant analysis decision content based on historical analysis results of abnormal changes in ground-penetrating communication signals and geological disaster discriminant analysis decision content library obtained from the big data platform.

[0097] The discriminant analysis decision acquisition unit is used to acquire geological disaster discriminant analysis decisions based on the analysis results of anomalies in through-ground communication signals and a discriminant analysis decision matching reference library.

[0098] The working principle of the above technical solution is as follows: the geological hazard discrimination analysis module includes a discrimination analysis decision matching reference library construction unit and a discrimination analysis decision acquisition unit;

[0099] The discriminant analysis decision matching reference library construction unit is used to construct a discriminant analysis decision matching reference library between historical analysis results and geological disaster discriminant analysis decision content based on historical analysis results of abnormal changes in ground-penetrating communication signals and geological disaster discriminant analysis decision content library obtained from the big data platform.

[0100] The discriminant analysis decision acquisition unit is used to acquire geological disaster discriminant analysis decisions based on the analysis results of anomalies in through-ground communication signals and a discriminant analysis decision matching reference library.

[0101] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, the geological disaster discrimination analysis decision can be obtained by matching the discriminant analysis decision with the reference library, which can ensure the quality and accuracy of the geological disaster discrimination analysis decision.

[0102] In one embodiment, the discriminant analysis decision matching reference library construction unit includes a historical analysis result evaluation subunit and a discriminant analysis decision matching reference library generation subunit;

[0103] The historical analysis result evaluation subunit is used to predict and analyze the abnormal changes in ground-penetrating communication signals in the historical analysis results based on a preset neural network model, and obtain the impact value on the generation of geological disaster factors; based on a preset clustering analysis model, it performs clustering analysis on several historical analysis results, obtains the clustering analysis results, and obtains the first category with the most content in the clustering analysis results.

[0104] The discriminant analysis decision matching reference library generation subunit is used to set several levels of geological hazard discriminant analysis decision content based on the geological hazard discriminant analysis decision content library obtained from the big data platform, combined with the magnitude of the impact value; and to set several inclusion items of geological hazard discriminant analysis decision content based on the number of contents in the first category; and to generate a matching correspondence between historical analysis results and geological hazard discriminant analysis decision content based on the impact value and level, as well as the number of contents and inclusion items, and to generate a discriminant analysis decision matching reference library based on the matching correspondence.

[0105] The working principle of the above technical solution is as follows: the discriminant analysis decision matching reference library construction unit includes a historical analysis result evaluation subunit and a discriminant analysis decision matching reference library generation subunit;

[0106] The historical analysis result evaluation subunit is used to predict and analyze the abnormal changes in ground-penetrating communication signals in the historical analysis results based on a preset neural network model, and obtain the impact value on the generation of geological disaster factors; based on a preset clustering analysis model, it performs clustering analysis on several historical analysis results, obtains the clustering analysis results, and obtains the first category with the most content in the clustering analysis results.

[0107] The discriminant analysis decision matching reference library generation subunit is used to set several levels of geological hazard discriminant analysis decision content based on the geological hazard discriminant analysis decision content library obtained from the big data platform, combined with the magnitude of the impact value; and to set several inclusion items of geological hazard discriminant analysis decision content based on the number of contents in the first category; and to generate a matching correspondence between historical analysis results and geological hazard discriminant analysis decision content based on the impact value and level, as well as the number of contents and inclusion items, and to generate a discriminant analysis decision matching reference library based on the matching correspondence.

[0108] The beneficial effects of the above technical solution are as follows: By using the solution provided in this embodiment, the data of abnormal changes in ground-penetrating communication signals can be analyzed based on neural network models and cluster analysis models, and the influence value and the number of contents included in the matching of the decision-making content for geological disaster discrimination analysis can be obtained, which is conducive to the construction of the discrimination analysis decision-making matching reference library.

[0109] In one embodiment, the system further includes a ground-penetrating communication signal change data management module for managing and using ground-penetrating communication signal change data; the ground-penetrating communication signal change data management module includes a data aggregation unit and a data usage unit;

[0110] The data aggregation unit is used to extract several patterns of change in ground-penetrating communication signals based on the change data of ground-penetrating communication signals, and to generate several visualization charts and data analysis templates based on these patterns.

[0111] The data utilization unit is used to manage and share visual charts and data analysis templates based on the geological disaster auxiliary monitoring platform and using blockchain technology. These are then applied to the display of the geological disaster early warning management platform, the construction of BIM models of target areas, and the construction of three-dimensional soil analysis models of target areas.

[0112] The working principle of the above technical solution is as follows: it also includes a ground-penetrating communication signal change data management module, which is used to manage and use ground-penetrating communication signal change data; the ground-penetrating communication signal change data management module includes a data aggregation unit and a data usage unit;

[0113] The data aggregation unit is used to extract several patterns of change in ground-penetrating communication signals based on the change data of ground-penetrating communication signals, and to generate several visualization charts and data analysis templates based on these patterns.

[0114] The data utilization unit is used to manage and share visual charts and data analysis templates based on the geological disaster auxiliary monitoring platform and using blockchain technology. These are then applied to the display of the geological disaster early warning management platform, the construction of BIM models of target areas, and the construction of three-dimensional soil analysis models of target areas.

[0115] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, the utilization efficiency of the data on changes in ground-penetrating communication signals can be improved by managing and using the data, and the quality of ground-penetrating communication signal monitoring can be improved, thereby further enhancing the level of auxiliary monitoring of geological disasters.

[0116] Geological disaster auxiliary monitoring methods based on changes in ground-penetrating communication signals, such as Figure 3 As shown, it includes:

[0117] S1: Deploy ground-penetrating communication devices within the target area;

[0118] S2: Based on the geological disaster auxiliary monitoring platform, monitor and acquire the ground-penetrating communication signal data of the ground-penetrating communication device;

[0119] S3: Analyze ground-penetrating communication signal data to obtain the results of anomaly analysis of ground-penetrating communication signal changes;

[0120] S4: Based on the analysis results of abnormal changes in ground-penetrating communication signals, generate a decision-making analysis for geological hazards.

[0121] The working principle of the above technical solution is as follows: deploying ground-penetrating communication devices in the target area; monitoring and acquiring ground-penetrating communication signal data of the ground-penetrating communication devices based on the geological disaster auxiliary monitoring platform; analyzing the ground-penetrating communication signal data to obtain the analysis results of abnormal changes in ground-penetrating communication signal changes; and generating a discrimination analysis decision on geological disasters based on the analysis results of abnormal changes in ground-penetrating communication signal changes.

[0122] The beneficial effects of the above technical solution are as follows: By analyzing the ground-penetrating communication signal data and based on the analysis results of abnormal changes in the ground-penetrating communication signal, a decision-making process for the identification of geological disasters is generated, which expands the application scenarios of ground-penetrating communication and helps to improve the quality of early identification analysis of geological disasters.

[0123] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A geological disaster auxiliary monitoring system based on changes in ground-penetrating communication signals, characterized in that, include: A ground-penetrating communication device deployment module, used to deploy ground-penetrating communication devices within a target area; The ground-penetrating communication signal data acquisition module is used to monitor and acquire ground-penetrating communication signal data of the ground-penetrating communication device based on the geological disaster auxiliary monitoring platform; The ground-penetrating communication signal data analysis module is used to analyze ground-penetrating communication signal data and obtain the analysis results of ground-penetrating communication signal anomaly changes; The geological hazard discrimination and analysis module is used to generate discrimination and analysis decisions for geological hazards based on the analysis results of abnormal changes in through-ground communication signals. The ground-penetrating communication signal data acquisition module includes: based on the geological disaster auxiliary monitoring platform, using wireless communication technology, constructing a data acquisition network connecting the ground-penetrating communication device and the geological disaster auxiliary monitoring platform; according to the data acquisition network, monitoring the change in the ratio of signal power to noise power of the acquired ground-penetrating communication signal to obtain the signal-to-noise ratio monitoring value, monitoring the change in the average electric field strength of the acquired ground-penetrating communication signal to obtain the average electric field strength of the acquired ground-penetrating communication signal; The ground-penetrating communication signal data analysis module includes: comparing the signal-to-noise ratio (SNR) monitoring value with a preset SNR threshold, and comparing the average electric field strength with a preset average electric field strength threshold; if the SNR monitoring value is greater than the preset SNR threshold and the average electric field strength is less than the preset average electric field strength threshold, a first analysis result of ground-penetrating communication signal anomaly is generated; based on the first analysis result, after resetting the ground-penetrating communication device using a geological disaster auxiliary monitoring platform, a first comparative monitoring of ground-penetrating communication signal anomaly is performed, and a first comparative analysis result is obtained; after parameter adjustment control processing of the ground-penetrating communication device, a second comparative monitoring of ground-penetrating communication signal anomaly is performed, and a second comparative analysis result is obtained; after interference suppression processing of the ground-penetrating communication device, a third comparative monitoring of ground-penetrating communication signal anomaly is performed, and a third comparative analysis result is obtained; the first analysis result, the first comparative analysis result, the second comparative analysis result, and the third comparative analysis result are input into a preset probability prediction model to obtain a probability value of the analysis result anomaly; if the probability value is greater than a preset probability threshold, the first analysis result is determined as the analysis result of ground-penetrating communication signal change anomaly. The geological hazard discrimination analysis module includes a discrimination analysis decision matching reference library construction unit and a discrimination analysis decision acquisition unit; The discriminant analysis decision matching reference library construction unit is used to construct a discriminant analysis decision matching reference library between historical analysis results and geological disaster discriminant analysis decision content based on historical analysis results of abnormal changes in ground-penetrating communication signals and geological disaster discriminant analysis decision content library obtained from the big data platform. The discriminant analysis decision acquisition unit is used to acquire geological hazard discriminant analysis decisions based on the analysis results of anomalies in through-ground communication signals and a discriminant analysis decision matching reference library. The discriminant analysis decision matching reference library construction unit includes: predicting and analyzing the data of abnormal changes in ground-penetrating communication signals in historical analysis results according to a preset neural network model, and obtaining the impact value on the generation of geological disaster occurrence factors; performing cluster analysis on several historical analysis results according to a preset cluster analysis model, obtaining cluster analysis results, and obtaining the first category with the most content in the cluster analysis results; Based on the geological hazard discrimination analysis and decision-making content library obtained from the big data platform, and considering the magnitude of the impact value, several levels of geological hazard discrimination analysis and decision-making content are set; and considering the number of contents in the first category, several inclusion items of geological hazard discrimination analysis and decision-making content are set; based on the impact value and level, as well as the number of contents and inclusion items, a matching correspondence between historical analysis results and geological hazard discrimination analysis and decision-making content is generated, and based on the matching correspondence, a discrimination analysis and decision-making matching reference library is generated.

2. The geological disaster auxiliary monitoring system based on changes in through-ground communication signals according to claim 1, characterized in that, The ground-penetrating communication device deployment module includes a deployment area determination unit and a ground-penetrating communication device deployment unit; The deployment area determination unit is used to determine the target area for deploying ground-penetrating communication devices based on the needs of geological disaster auxiliary monitoring and soil data within the target area. A ground-penetrating communication device deployment unit is used to deploy ground-penetrating communication devices in a target area; the ground-penetrating communication device includes a pair of buried electrodes, or multiple pairs of buried electrodes, or several groups of buried electrodes.

3. The geological disaster auxiliary monitoring system based on changes in through-ground communication signals according to claim 1, characterized in that, It also includes a ground-penetrating communication signal change data management module, which is used to manage and use ground-penetrating communication signal change data; the ground-penetrating communication signal change data management module includes a data aggregation unit and a data usage unit; The data aggregation unit is used to extract several patterns of change in ground-penetrating communication signals based on the change data of ground-penetrating communication signals, and to generate several visualization charts and data analysis templates based on these patterns. The data utilization unit is used to manage and share visualization charts and data analysis templates based on the geological disaster auxiliary monitoring platform and using blockchain technology. These templates are then applied to the display of the geological disaster early warning management platform, the construction of BIM models of target areas, and the construction of three-dimensional soil analysis models of target areas.

4. A geological hazard auxiliary monitoring method based on changes in permeable ground communication signals, characterized in that, include: S1: Deploy ground-penetrating communication devices within the target area; S2: Based on the geological disaster auxiliary monitoring platform, monitor and acquire the permeable communication signal data of the permeable communication device; including: based on the geological disaster auxiliary monitoring platform, using wireless communication technology, constructing a data acquisition network connecting the permeable communication device and the geological disaster auxiliary monitoring platform; according to the data acquisition network, monitoring the change in the ratio of signal power to noise power of the permeable communication signal to obtain the signal-to-noise ratio monitoring value, monitoring the change in the average electric field strength of the permeable communication signal to obtain the average electric field strength of the permeable communication signal; S3: Analyze the ground-penetrating communication signal data to obtain anomaly analysis results; including: comparing the signal-to-noise ratio (SNR) monitoring value with a preset SNR threshold, and comparing the average electric field strength with a preset average electric field strength threshold. If the SNR monitoring value is greater than the preset SNR threshold and the average electric field strength is less than the preset average electric field strength threshold, then a first analysis result of ground-penetrating communication signal anomaly is generated; based on the first analysis result, after resetting the ground-penetrating communication device using the geological disaster auxiliary monitoring platform, a first comparative monitoring of ground-penetrating communication signal anomalies is performed, and a first pair of... The analysis results are compared; after parameter adjustment and control processing of the ground-penetrating communication device, a second comparative monitoring of ground-penetrating communication signal anomalies is performed, and a second comparative analysis result is obtained; after interference suppression processing of the ground-penetrating communication device, a third comparative monitoring of ground-penetrating communication signal anomalies is performed, and a third comparative analysis result is obtained; the first analysis result, the first comparative analysis result, the second comparative analysis result, and the third comparative analysis result are input into a preset probability prediction model to obtain the probability value of the analysis result anomaly. If the probability value is greater than the preset probability threshold, the first analysis result is determined as the analysis result of the ground-penetrating communication signal change anomaly. S4: Based on the analysis results of anomalies in through-ground communication signals, generate discriminant analysis decisions for geological disasters; including: constructing a discriminant analysis decision matching and comparison library between historical analysis results and geological disaster discriminant analysis decision content based on historical analysis results of anomalies in through-ground communication signals and the geological disaster discriminant analysis decision content library obtained from the big data platform; specifically including: performing predictive analysis on the data of anomalies in through-ground communication signals in historical analysis results according to a preset neural network model to obtain the impact value on the generation of geological disaster occurrence factors; performing cluster analysis on several historical analysis results according to a preset cluster analysis model to obtain cluster analysis results, and obtaining the first category with the most content in the cluster analysis results; Based on the geological hazard discrimination analysis and decision-making content library obtained from the big data platform, and considering the magnitude of the impact value, several levels of geological hazard discrimination analysis and decision-making content are set; and considering the number of contents in the first category, several inclusion items of geological hazard discrimination analysis and decision-making content are set; based on the impact value and level, as well as the number of contents and inclusion items, a matching correspondence between historical analysis results and geological hazard discrimination analysis and decision-making content is generated, and based on the matching correspondence, a discrimination analysis and decision-making matching reference library is generated. Based on the analysis results of abnormal changes in ground-penetrating communication signals, and using a discriminant analysis decision matching database, geological hazard discriminant analysis decisions are obtained.

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