Satellite and 5G double-link reservoir slope dynamic detection method and system

Abstract

The invention provides a satellite and 5G double-link reservoir slope dynamic detection method and system. The method comprises the following steps: acquiring detection data generated by detection ends of all key position points in a reservoir slope, and forming a detection data packet queue; determining a 5G communication time period and a satellite communication time period of the Internet of Things based on the operation data of the 5G network and the satellite network of the area where the reservoir slope is located; uploading all the detection data packets in the detection data packet queue to a cloud platform through a 5G network and a satellite network in the 5G communication time period and the satellite communication time period based on the data transmission characteristics of the 5G communication time period and the satellite communication time period; according to the method, the detection data packet received by the cloud platform is sorted and analyzed, the structural state change information of the reservoir side slope is obtained, a dynamic map of structural instability area distribution in the reservoir side slope is generated, and an early warning notification message is sent through the cloud platform, so that the uploading efficiency of the detection data is improved; and the real-time performance and reliability of reservoir slope deformation monitoring are ensured.

Description

Technical Field

[0001] The present invention relates to the field of water conservancy project monitoring, and particularly to a method and system for dynamically detecting the slopes of reservoirs with dual satellite and 5G links. Background Art

[0002] The construction and maintenance of water conservancy projects such as reservoirs are related to the lives and property safety of surrounding residents. As the water storage capacity of the reservoir continuously increases, the pressure on the reservoir slope also continuously increases; in particular, the reservoir slope is exposed to the external environment for a long time and is affected by different factors such as nature and human, and the reservoir slope is prone to structural abnormal deformations such as settlement or landslide. Once the coverage range of the structural abnormal deformation of the reservoir slope continuously increases, it will have an adverse impact on the structural safety of the reservoir dam. In order to timely discover the potential structural safety hazards of the reservoir slope, the reservoir slope is usually subjected to distributed detection to obtain the structural data at different positions of the reservoir slope, and the above structural data is uniformly sent to the background end for analysis and processing to obtain the structural change trend of the reservoir slope. However, the amount of data of the structural data of the reservoir slope is large, and problems such as transmission delay are likely to occur during the process of sending the structural data to the background end, affecting the real-time performance of data transmission, unable to timely determine the structural state of the reservoir slope, and reducing the reliability of the deformation monitoring of the reservoir slope. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for dynamically detecting the slopes of reservoirs with dual satellite and 5G links, to obtain the detection data generated by the detection terminals at all key position points in the reservoir slope and form a detection data packet queue, so as to realize the distributed detection of the reservoir slope; based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication period and the satellite communication period of the Internet of Things; based on the data transmission characteristics of the 5G communication period and the satellite communication period, upload all the detection data packets in the detection data packet queue to the cloud platform through the 5G network and the satellite network during the 5G communication period and the satellite communication period, and make full use of the 5G network and the satellite network to realize the dual-channel transmission of detection data; sort out and analyze the detection data packets received by the cloud platform to obtain the structural state change information of the reservoir slope, generate a dynamic map of the distribution of unstable structural areas in the reservoir slope, and send a warning notification message through the cloud platform, making full use of the advantages of dual-channel 5G and satellite communication, improving the upload efficiency of detection data, and ensuring the real-time performance and reliability of the deformation monitoring of the reservoir slope.

[0004] The present invention is realized through the following technical solutions:

[0005] A method for dynamically detecting the slopes of reservoirs with dual satellite and 5G links, comprising:

[0006] Obtain the detection data generated by the detection ends of all key position points in the reservoir slope, and preprocess the detection data to obtain a detection data packet queue;

[0007] Based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication period and the satellite communication period of all the Internet of Things where the detection ends are located;

[0008] Based on the data transmission characteristics of the 5G network during the 5G communication period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network;

[0009] Based on the data transmission characteristics of the satellite network during the satellite communication period, compress all the detection data packets that have not been uploaded in the detection data packet queue, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network;

[0010] Sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; perform analysis processing on the restored detection data packet queue to obtain the structural state change information of the reservoir slope;

[0011] Based on the structural state change information, generate a dynamic map of the distribution of structurally unstable areas in the reservoir slope; based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform.

[0012] Optionally, obtaining the detection data generated by the detection ends of all key position points in the reservoir slope, and preprocessing the detection data to obtain a detection data packet queue includes:

[0013] Obtain the slope structure characteristic parameters and slope soil characteristic parameters generated by the detection ends of all key position points in the reservoir slope; among them, the slope structure characteristic parameters include slope soil layer displacement parameters, slope crack size and position parameters; the slope soil characteristic parameters include slope soil humidity parameters;

[0014] Based on the position coordinates of all key position points in the reservoir slope, divide all key position points into several key point groups; screen the slope structure characteristic parameters and slope soil characteristic parameters generated by all detection ends under the same key point group to obtain the slope structure characteristic parameters and slope soil characteristic parameters matched by the key point group, and integrate the matched slope structure characteristic parameters and slope soil characteristic parameters into a detection data packet;

[0015] Arrange the detection data packets corresponding to all key point groups into a detection data packet queue based on the chronological order of the generation times of the detection data packets corresponding to each key point group.

[0016] Optionally, based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication time period and the satellite communication time period of all IoT devices where the detection terminals are located, including:

[0017] Monitor the 5G network and the satellite network in the area where the reservoir slope is located to obtain 5G network signal status data and satellite network signal status data; wherein, the 5G network signal status data includes 5G network signal strength data and 5G network signal delay data; the satellite network signal status data includes satellite network signal strength data and satellite network signal delay data;

[0018] Based on the 5G network signal status data and the satellite network signal status data, determine the 5G communication time period and the satellite communication time period of all IoT devices where the detection terminals are located.

[0019] Optionally, based on the 5G network signal status data and the satellite network signal status data, determine the 5G communication time period and the satellite communication time period of all IoT devices where the detection terminals are located, including:

[0020] Based on the 5G network signal status data, estimate the 5G communication quality values of all sub-time intervals under the 5G network in a future time interval;

[0021] Based on the satellite network signal status data, estimate the satellite communication quality values of all sub-time intervals under the satellite network in the future time interval;

[0022] Based on the 5G communication quality value and the satellite communication quality value corresponding to the same sub-time interval, determine whether the sub-time interval is suitable for 5G communication or satellite communication, so as to determine the 5G communication time period and the satellite communication time period of all IoT devices where the detection terminals are located.

[0023] Optionally, based on the data transmission characteristics of the 5G network during the 5G communication time period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network, including:

[0024] Based on the available data transmission bandwidth change characteristics of the 5G network during the 5G communication period, determine the available data transmission bandwidth values of all sub-time intervals under the 5G communication period; based on the available data transmission bandwidth values, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network.

[0025] Optionally, based on the data transmission characteristics of the satellite network during the satellite communication period, perform compression processing on all the detection data packets in the detection data packet queue that have not been uploaded, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network, including:

[0026] Based on the available data transmission bandwidth change characteristics of the satellite network during the satellite communication period, determine the available data transmission bandwidth values of all sub-time intervals under the satellite communication period; based on the available data transmission bandwidth values, perform redundant data removal and compression processing on all the detection data packets in the detection data packet queue that have not been uploaded, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network.

[0027] Optionally, determining the available data transmission bandwidth values of all sub-time intervals under the satellite communication period includes:

[0028] Extract the available data transmission bandwidth change rate of the satellite communication period corresponding to each unit time; wherein, the time length of the unit time is less than the time length of all sub-time intervals under the satellite communication period;

[0029] Obtain the fluctuation coefficient according to the available data transmission bandwidth change rates of the satellite communication period corresponding to every two adjacent unit times;

[0030] Wherein, the fluctuation coefficient is obtained through the following formula:

[0031]

[0032] Wherein, S represents the fluctuation coefficient; P b represents the standard deviation of the available data transmission bandwidth change rates of the satellite communication period corresponding to every two adjacent unit times corresponding to all unit times; P represents the average value of the available data transmission bandwidth change rates of the satellite communication period corresponding to every two adjacent unit times corresponding to all unit times; T b represents the standard deviation of the time interval lengths corresponding to all sub-time intervals under the satellite communication period; T d represents the time length corresponding to the unit time;

[0033] Compare the fluctuation coefficient with a preset fluctuation coefficient threshold;

[0034] When the fluctuation coefficient exceeds the preset fluctuation coefficient threshold, the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient is obtained;

[0035] By using the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient and combining the available data transmission bandwidth change rate of each adjacent two unit time corresponding satellite communication periods, the available data transmission bandwidth values of all sub-time intervals under the satellite communication period are obtained;

[0036] Among them, the available data transmission bandwidth values of all sub-time intervals under the satellite communication period are obtained through the following formula:

[0037]

[0038] Among them, B represents the available data transmission bandwidth value corresponding to each sub-time interval under the satellite communication period; B e represents the theoretical available data transmission bandwidth value corresponding to each sub-time interval; n represents the total number of groups of every two adjacent unit times; P i represents the available data transmission bandwidth change rate of the i-th group of unit time; T d represents the time length corresponding to the unit time; T z represents the total length corresponding to the satellite communication period; S represents the fluctuation coefficient; S y represents the fluctuation coefficient; the preset fluctuation coefficient threshold.

[0039] Optionally, all the detection data packets received by the cloud platform are sorted out and restored to a detection data packet queue; the restored detection data packet queue is analyzed and processed to obtain the structural state change information of the reservoir slope, including:

[0040] Based on the generation time of all the detection data packets received by the cloud platform, all the received detection data packets are restored to a detection data packet queue;

[0041] The restored detection data packet queue is decomposed into a slope structure characteristic parameter queue and a slope soil characteristic parameter queue; based on the slope structure characteristic parameter queue, the soil layer displacement speed change information and the slope crack size and position change information of the reservoir slope are obtained; based on the slope soil characteristic parameter queue, the soil humidity change information of the reservoir slope is obtained;

[0042] Based on the soil layer displacement speed change information, the slope crack size and position change information, and the soil humidity change information, the structural state change information of the reservoir slope is predicted; among them, the structural state change information includes the surface contour height change information of the reservoir slope and the slope crack extension position change information.

[0043] Optionally, based on the structural state change information, generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope; based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform, including:

[0044] Based on the surface contour height change information and slope crack extension position change information of the reservoir slope included in the structural state change information, generate a dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope; wherein, the dynamic map of the distribution of settlement areas or landslide areas is used to characterize the dynamic change of the area of settlement areas or landslide areas within the reservoir slope;

[0045] Based on the dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope, send a warning notification message to the mobile terminal through the cloud platform; wherein, the warning notification message includes the coverage information of the geological structure deformation occurring in the reservoir slope.

[0046] A reservoir slope dynamic detection system with satellite and 5G dual links, including:

[0047] A detection data preprocessing module, configured to obtain the detection data generated by the detection ends of all key position points within the reservoir slope, preprocess the detection data, and obtain a detection data packet queue;

[0048] A communication period determination module, configured to determine the 5G communication period and satellite communication period of all the detection ends in the Internet of Things based on the operation data of the 5G network and satellite network in the area where the reservoir slope is located;

[0049] A first detection data uploading module, configured to select several detection data packets suitable for 5G uploading from the detection data packet queue based on the data transmission characteristics of the 5G network during the 5G communication period, and upload the several detection data packets suitable for 5G uploading to the cloud platform through the 5G network;

[0050] A second detection data uploading module, configured to perform compression processing on all the detection data packets that have not been uploaded in the detection data packet queue based on the data transmission characteristics of the satellite network during the satellite communication period, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network;

[0051] A detection data analysis module, configured to sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; analyze and process the restored detection data packet queue to obtain the structural state change information of the reservoir slope;

[0052] The slope structure dynamic characterization and early warning notification module is used to generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope based on the structural state change information; and based on the dynamic map of the distribution of structurally unstable areas, send early warning notification messages through the cloud platform.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] The satellite and 5G dual-link reservoir slope dynamic detection method provided by this application obtains the detection data generated by the detection terminals at all key position points within the reservoir slope and forms a detection data packet queue, realizing distributed detection of the reservoir slope; determines the 5G communication period and satellite communication period of the Internet of Things based on the operation data of the 5G network and satellite network in the area where the reservoir slope is located; based on the data transmission characteristics of the 5G communication period and satellite communication period, uploads all the detection data packets in the detection data packet queue to the cloud platform through the 5G network and satellite network during the 5G communication period and satellite communication period, making full use of the 5G network and satellite network to achieve dual-channel transmission of detection data; sorts out and analyzes the detection data packets received by the cloud platform, obtains the structural state change information of the reservoir slope, generates a dynamic map of the distribution of structurally unstable areas within the reservoir slope, and sends early warning notification messages through the cloud platform, making full use of the advantages of 5G and satellite dual-channel communication, improving the upload efficiency of detection data, and ensuring the real-time and reliability of the deformation monitoring of the reservoir slope. Description of the Drawings

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0056] Figure 1 It is a schematic flow chart of the satellite and 5G dual-link reservoir slope dynamic detection method provided by the present invention.

[0057] Figure 2 It is a schematic structural diagram of the satellite and 5G dual-link reservoir slope dynamic detection system provided by the present invention. Detailed Embodiments

[0058] To make the above objects, features, and advantages of the present application more apparent and understandable, the following provides a detailed description of the specific embodiments of the present application in conjunction with the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Additionally, it should be noted that for the convenience of description, only the parts related to the present application rather than all the structures are shown in the accompanying drawings. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0059] The terms "including" and "having" in the present application and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, method, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0060] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appearing in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0061] Please refer to Figure 1 As shown, a method for dynamically detecting the reservoir slope with satellite and 5G dual links provided by an embodiment of the present application. The method for dynamically detecting the reservoir slope with satellite and 5G dual links includes:

[0062] Obtain the detection data generated by the detection terminals at all key position points within the reservoir slope, and preprocess the detection data to obtain a detection data packet queue;

[0063] Based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication period and the satellite communication period of all the detection terminals in the Internet of Things;

[0064] Based on the data transmission characteristics of the 5G network during the 5G communication period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network;

[0065] Based on the data transmission characteristics of the satellite network during the satellite communication period, compress all the detection data packets in the detection data packet queue that have not been uploaded, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network;

[0066] Sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; analyze and process the restored detection data packet queue to obtain the structural state change information of the reservoir slope.

[0067] Based on the structural state change information, generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope; based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform.

[0068] The beneficial effects of the above embodiments are as follows. The dynamic detection method for the reservoir slope with satellite and 5G dual links obtains the detection data generated by the detection terminals at all key position points within the reservoir slope and forms a detection data packet queue, realizing distributed detection of the reservoir slope; based on the operation data of the 5G network and satellite network in the area where the reservoir slope is located, determine the 5G communication period and satellite communication period of the Internet of Things; based on the data transmission characteristics of the 5G communication period and satellite communication period, upload all the detection data packets in the detection data packet queue to the cloud platform through the 5G network and satellite network during the 5G communication period and satellite communication period, making full use of the 5G network and satellite network to achieve dual-channel transmission of detection data; sort out and analyze the detection data packets received by the cloud platform, obtain the structural state change information of the reservoir slope, generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope, and send a warning notification message through the cloud platform, making full use of the advantages of 5G and satellite dual-channel communication, improving the upload efficiency of detection data, and ensuring the real-time and reliability of the deformation monitoring of the reservoir slope.

[0069] In another embodiment, obtain the detection data generated by the detection terminals at all key position points within the reservoir slope, and preprocess the detection data to obtain a detection data packet queue, including:

[0070] Obtain the slope structure characteristic parameters and slope soil characteristic parameters generated by the detection terminals at all key position points of the reservoir slope; among them, the slope structure characteristic parameters include slope soil layer displacement parameters, slope crack size and position parameters; the slope soil characteristic parameters include slope soil humidity parameters.

[0071] Based on the position coordinates of all key position points in the reservoir slope, divide all key position points into several key point groups; screen the slope structure characteristic parameters and slope soil characteristic parameters generated by all detection terminals under the same key point group to obtain the slope structure characteristic parameters and slope soil characteristic parameters matched by the key point group, and integrate the matched slope structure characteristic parameters and slope soil characteristic parameters into a detection data packet.

[0072] Arrange the detection data packets corresponding to all key point groups into a detection data packet queue based on the chronological order of the generation times of the detection data packets corresponding to each key point group.

[0073] Beneficial effects of the above embodiments: As a structural part of the reservoir dam, the structural stability of the reservoir slope directly affects the structural safety of the dam. The regional scope of the reservoir slope is large. In order to conduct global structural monitoring on the reservoir slope, detection terminals are respectively set at different key position points within the reservoir slope, and the detection terminals are used to detect the key position points and their adjacent ranges. Among them, the key position points can be, but are not limited to, artificially demarcating grids on the slope surface where the reservoir slope is located, and using the center point of each grid or the four vertices of each grid as the key position points. In addition, the detection terminals can be, but are not limited to, multi-functional integrated detection terminals, and different functional types of sensors such as fiber Bragg grating sensors, vision sensors, and humidity sensors can be integrated in the detection terminals; among them, the fiber Bragg grating sensors are used to detect parameters such as the displacement rate of the slope soil layer in the key position points and their adjacent ranges, the vision sensors are used to detect parameters such as the crack size and position of the slope in the key position points and their adjacent ranges, and the humidity sensors are used to detect humidity parameters such as the soil water content in the key position points and their adjacent ranges; and the detection terminals of all key position points are connected to the Internet of Things and connected to the 5G network and the satellite network through the Internet of Things, so that the detection data generated by all detection terminals under the Internet of Things can be uploaded to the cloud platform through the 5G network and the satellite network. The detection terminals can periodically perform dynamic detection on the key position points and their adjacent ranges. In this way, the detection terminals will generate corresponding detection data packets at each detection time point. In order to orderly change the structural state change of the key position points and their adjacent ranges, arrange the detection data packets corresponding to all key point groups into a detection data packet queue based on the chronological order of the generation times of the detection data packets corresponding to each key point group, so that the detection data packet queue can accurately and comprehensively reflect the soil layer structure change situation of each key position point.

[0074] In another embodiment, determine the 5G communication period and the satellite communication period of the Internet of Things where all detection terminals are located based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, including:

[0075] Monitor the 5G network and the satellite network in the area where the reservoir slope is located to obtain 5G network signal status data and satellite network signal status data; among them, the 5G network signal status data includes 5G network signal strength data and 5G network signal delay data; the satellite network signal status data includes satellite network signal strength data and satellite network signal delay data;

[0076] Based on the 5G network signal status data and the satellite network signal status data, determine the 5G communication period and the satellite communication period of the Internet of Things where all detection terminals are located.

[0077] Beneficial effects of the above embodiments: The area where the reservoir slope is located is covered by 5G network and satellite network. In this way, the Internet of Things accessed by all detection terminals within the reservoir slope can communicate with the cloud platform through the 5G network and satellite network. In actual communication, the 5G network and satellite network have different communication performances. Generally speaking, the wireless signal of the 5G network is relatively stable and can achieve large-bandwidth wireless communication, while the wireless signal coverage of the satellite network is relatively wide but the communication bandwidth is limited. It can be seen that the 5G network and satellite network can meet the requirements of different communication scenarios. For example, when the communication bandwidth of the 5G network is insufficient or the wireless signal is not effectively covered, the satellite network can be used for wireless communication. In order to make full use of the 5G network and satellite network to achieve dual-channel wireless communication, the 5G network and satellite network in the area where the reservoir slope is located are monitored to obtain the 5G network signal status data and satellite network signal status data, and the signal strength data and signal delay data of the 5G network and satellite network in the area where the reservoir slope is located are determined respectively; among them, the signal strength data may include but is not limited to the change data of the wireless signal strength value of the 5G network or satellite network, and the signal delay data may include but is not limited to the change data of the wireless signal transmission delay time value of the 5G network or satellite network. The wireless signal strength and wireless signal transmission delay time of the 5G network and satellite network both affect the communication quality and stability of the 5G network and satellite network. The greater the wireless signal strength and the smaller the wireless signal transmission delay time, the higher and more stable the communication quality of the 5G network and satellite network. In order to make full use of the 5G network and satellite network to achieve dual-channel communication between the Internet of Things and the cloud platform, based on the 5G network signal status data and satellite network signal status data, the 5G communication period and satellite communication period of the Internet of Things where all detection terminals are located are determined. When the 5G network has a high communication quality in a certain time period, the Internet of Things is controlled to communicate with the cloud platform through the 5G network. When the satellite network has a high communication quality in a certain time period, the Internet of Things is controlled to communicate with the cloud platform through the satellite network.

[0078] In another embodiment, based on the 5G network signal status data and the satellite network signal status data, determining the 5G communication period and satellite communication period of the Internet of Things where all detection terminals are located includes:

[0079] Based on the 5G network signal status data, estimating the 5G communication quality values of all sub-time intervals under the 5G network in a future time interval;

[0080] Based on the satellite network signal status data, estimating the satellite communication quality values of all sub-time intervals under the satellite network in the future time interval;

[0081] Based on the 5G communication quality value and the satellite communication quality value corresponding to the same sub-time interval, determine whether the sub-time interval is suitable for 5G communication or satellite communication, so as to determine the 5G communication period and the satellite communication period of the Internet of Things where all detection ends are located.

[0082] The beneficial effects of the above embodiments are as follows: based on the 5G network signal strength data and 5G network signal delay data included in the 5G network signal state data, estimate the 5G communication quality value of each sub-time interval of the 5G network in a future time interval; and based on the satellite network signal strength data and satellite network signal delay data included in the satellite network signal state data, estimate the satellite communication quality value of each sub-time interval of the satellite network in a future time interval. In this way, the communication quality of each sub-time interval of the 5G network and the satellite network in a future time interval can be quantitatively determined. When the communication quality value of the 5G network in a certain sub-time interval is greater than or equal to the communication quality value of the satellite network, the sub-time interval is determined to be suitable for 5G communication; otherwise, the sub-time interval is determined to be suitable for satellite communication. Then, all sub-time intervals suitable for 5G communication and all sub-time intervals suitable for satellite communication are respectively integrated into the 5G communication period and the satellite communication period of the Internet of Things where all detection ends are located. In this way, the Internet of Things communicates with the cloud platform through the 5G network and the satellite network respectively during the 5G communication period and the satellite communication period.

[0083] In another embodiment, based on the data transmission characteristics of the 5G network during the 5G communication period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network, including:

[0084] Based on the change characteristics of the available data transmission bandwidth of the 5G network during the 5G communication period, determine the available data transmission bandwidth value of each sub-time interval of the 5G communication period; based on the available data transmission bandwidth value, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network.

[0085] The beneficial effects of the above embodiments are as follows. The available data transmission bandwidth of the 5G network changes during the 5G communication period. When the 5G network connects to more external terminals in a certain sub-time interval under the 5G communication period, its available data transmission bandwidth in this sub-time interval is smaller; conversely, its available data transmission bandwidth in this sub-time interval is larger. Based on the available data transmission bandwidth values of all sub-time intervals under the 5G communication period, several detection data packets suitable for 5G upload are selected from the detection data packet queue, so that the data volume of the selected detection data packets matches the available data transmission bandwidth values of each sub-time interval under the 5G communication period, ensuring that the selected detection data packets can be completely uploaded to the cloud platform within the corresponding sub-time interval, and improving the upload efficiency and success rate of the detection data packets.

[0086] In another embodiment, based on the data transmission characteristics of the satellite network during the satellite communication period, all the detection data packets in the detection data packet queue that have not been uploaded are compressed, and then all the detection data packets that have not been uploaded are uploaded to the cloud platform through the satellite network, including:

[0087] Based on the change characteristics of the available data transmission bandwidth of the satellite network during the satellite communication period, the available data transmission bandwidth values of all sub-time intervals under the satellite communication period are determined; based on the available data transmission bandwidth values, redundant data is removed and compression processing is performed on all the detection data packets in the detection data packet queue that have not been uploaded, and then all the detection data packets that have not been uploaded are uploaded to the cloud platform through the satellite network.

[0088] The beneficial effects of the above embodiments are as follows. The available data transmission bandwidth of the satellite network changes during the satellite communication period. In order to enable the remaining detection data packets in the detection data packet queue that have not been uploaded to be completely uploaded to the cloud platform during the satellite communication period, and considering the limited data transmission bandwidth of the satellite network itself, based on the available data transmission bandwidth values of all sub-time intervals under the satellite communication period, redundant data is removed and compression processing is performed on all the detection data packets in the detection data packet queue that have not been uploaded. Without affecting the data validity of the detection data packets, the data volume of all the detection data packets that have not been uploaded is effectively reduced, and then all the detection data packets that have not been uploaded are uploaded to the cloud platform through the satellite network, ensuring that all the detection data packets in the detection data packet queue are completely uploaded to the cloud platform.

[0089] In another embodiment, determining the available data transmission bandwidth values of all sub-time intervals under the satellite communication period includes:

[0090] Extract the change rate of the available data transmission bandwidth for each satellite communication period corresponding to each unit time; wherein, the time length of the unit time is less than the time lengths of all sub-time intervals under the satellite communication period;

[0091] Obtain the fluctuation coefficient according to the change rate of the available data transmission bandwidth for each satellite communication period corresponding to every two adjacent unit times;

[0092] Wherein, the fluctuation coefficient is obtained through the following formula:

[0093]

[0094] Wherein, S represents the fluctuation coefficient; P b represents the standard deviation of the change rate of the available data transmission bandwidth for each satellite communication period corresponding to every two adjacent unit times for all unit times; P represents the average value of the change rate of the available data transmission bandwidth for each satellite communication period corresponding to every two adjacent unit times for all unit times; T b represents the standard deviation of the time interval lengths corresponding to all sub-time intervals under the satellite communication period; T d represents the time length corresponding to the unit time;

[0095] Compare the fluctuation coefficient with a preset fluctuation coefficient threshold;

[0096] When the fluctuation coefficient exceeds the preset fluctuation coefficient threshold, obtain the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient;

[0097] Use the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient in combination with the change rate of the available data transmission bandwidth for each satellite communication period corresponding to every two adjacent unit times to obtain the available data transmission bandwidth values for all sub-time intervals under the satellite communication period;

[0098] Wherein, the available data transmission bandwidth values for all sub-time intervals under the satellite communication period are obtained through the following formula:

[0099]

[0100] Wherein, B represents the available data transmission bandwidth value corresponding to each sub-time interval under the satellite communication period; B e represents the theoretical available data transmission bandwidth value corresponding to each sub-time interval; n represents the total number of groups of every two adjacent unit times; P i represents the change rate of the available data transmission bandwidth for the i-th group of unit times; T d represents the time length corresponding to the unit time; T z represents the total length corresponding to the satellite communication period; S represents the fluctuation coefficient; S yIndicates the fluctuation coefficient; a preset fluctuation coefficient threshold.

[0101] The beneficial effects of the above embodiments are as follows: By extracting the change rate of the available data transmission bandwidth of the satellite communication period corresponding to each unit time and calculating the fluctuation coefficient based on this, it can accurately reflect the change of the available data transmission bandwidth during the satellite communication period. The calculation of the standard deviation and the average value takes into account the bandwidth change rates of all unit times, comprehensively and meticulously describing the statistical characteristics of the bandwidth change, which helps to accurately grasp the fluctuation trend of the bandwidth. When the fluctuation coefficient exceeds the preset threshold, the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient is used, combined with the change rate of the available data transmission bandwidth between every two adjacent unit times to obtain the available data transmission bandwidth values of each sub-time interval. This method can flexibly adjust the available bandwidth of different sub-time intervals according to the actual situation of the bandwidth change, avoiding the limitations of the traditional fixed bandwidth allocation method and improving the allocation efficiency of bandwidth resources. This technical solution can dynamically allocate the available data transmission bandwidth values for each sub-time interval according to the fluctuation of the bandwidth during the satellite communication period. It enables, in the case of limited bandwidth resources, to prioritize ensuring the communication needs of key or high-demand sub-time intervals, avoiding waste of resources, thereby improving the overall resource utilization efficiency of the satellite communication system and enhancing the system performance. By reasonably allocating the bandwidth, it ensures that in different bandwidth fluctuation situations, the communication services within each sub-time interval can obtain relatively stable available bandwidth, which helps to maintain the quality of communication services, reduce problems such as communication interruptions, data loss, or transmission delays caused by insufficient bandwidth or fluctuations, and improve the reliability and stability of the satellite communication system.

[0102] In another embodiment, all the detected data packets received by the cloud platform are sorted out and restored to a detected data packet queue; the restored detected data packet queue is analyzed and processed to obtain the structural state change information of the reservoir slope, including:

[0103] Based on the generation time of each of all the detected data packets received by the cloud platform, all the detected data packets received are restored to a detected data packet queue;

[0104] The restored detected data packet queue is decomposed into a slope structure characteristic parameter queue and a slope soil characteristic parameter queue; based on the slope structure characteristic parameter queue, the soil layer displacement speed change information and the slope crack size and position change information of the reservoir slope are obtained; based on the slope soil characteristic parameter queue, the soil humidity change information of the reservoir slope is obtained;

[0105] Based on the soil layer displacement velocity change information, the slope crack size and position change information and the soil moisture change information, the structural state change information of the reservoir slope is predicted; wherein the structural state change information includes the surface profile height change information of the reservoir slope and the slope crack extension position change information.

[0106] The beneficial effects of the above embodiments are that all detection data packets under the detection data packet queue accurately reflect the soil layer structure changes of the reservoir slope at the corresponding time point, and the detection data packet queue is decomposed into a slope structure characteristic parameter queue and a slope soil characteristic parameter queue; based on the slope structure characteristic parameter queue, the soil layer displacement velocity change information and the slope crack size and position change information of the reservoir slope are obtained; based on the slope soil characteristic parameter queue, the soil moisture change information of the reservoir slope is obtained; and based on the soil layer displacement velocity change information, the slope crack size and position change information and the soil moisture change information, the structural state change information of the reservoir slope is predicted, so as to comprehensively and accurately determine the surface profile height change and the slope crack extension position change of the reservoir slope, and provide a reliable basis for the subsequent identification of the deformation of the reservoir slope.

[0107] In another embodiment, based on the structural state change information, a dynamic map of structural unstable area distribution in the reservoir slope is generated; based on the dynamic map of structural unstable area distribution, an early warning notification message is sent through the cloud platform, including:

[0108] Based on the surface profile height change information and the slope crack extension position change information of the reservoir slope contained in the structural state change information, a dynamic distribution map of the settlement area or landslide area in the reservoir slope is generated; wherein the dynamic distribution map of the settlement area or landslide area is used to characterize the dynamic change of the area of the settlement area or landslide area in the reservoir slope;

[0109] Based on the dynamic distribution map of the settlement area or landslide area in the reservoir slope, an early warning notification message is sent to the mobile terminal through the cloud platform; wherein the early warning notification message includes coverage information of the geological structure deformation of the reservoir slope.

[0110] Beneficial effects of the above embodiments: When structural deformations such as settlement or landslide occur on the reservoir slope, the surface profile height of the reservoir slope and the extension position of slope cracks will also change. Therefore, based on the surface profile height change information and slope crack extension position change information of the reservoir slope included in this structural state change information, a dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope is generated, so as to accurately characterize the dynamic change of the area of settlement areas or landslide areas within the reservoir slope. Then, the coverage area of the geological structure deformation occurring on the reservoir slope is extracted from the dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope, and an early warning notification message is generated based on this and sent to the mobile terminal held by the maintenance personnel through the cloud platform to ensure the real-time and reliability of the deformation monitoring of the reservoir slope.

[0111] Please refer to Figure 2 As shown, a dynamic detection system for reservoir slopes with satellite and 5G dual links provided by an embodiment of the present application. The dynamic detection system for reservoir slopes with satellite and 5G dual links includes:

[0112] A detection data preprocessing module, configured to obtain detection data generated by the detection terminals at all key position points within the reservoir slope, preprocess the detection data, and obtain a detection data packet queue;

[0113] A communication period determination module, configured to determine the 5G communication period and satellite communication period of all detection terminals in the Internet of Things based on the operation data of the 5G network and satellite network in the area where the reservoir slope is located;

[0114] A first detection data upload module, configured to select several detection data packets suitable for 5G upload from the detection data packet queue based on the data transmission characteristics of the 5G network during the 5G communication period, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network;

[0115] A second detection data upload module, configured to perform compression processing on all detection data packets that have not been uploaded in the detection data packet queue based on the data transmission characteristics of the satellite network during the satellite communication period, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network;

[0116] A detection data analysis module, configured to sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; analyze and process the restored detection data packet queue to obtain the structural state change information of the reservoir slope;

[0117] A slope structure dynamic characterization and early warning notification module, configured to generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope based on the structural state change information; send an early warning notification message through the cloud platform based on the dynamic map of the distribution of structurally unstable areas.

[0118] The satellite and 5G dual-link dynamic detection system for reservoir slopes of the present invention corresponds to the operation and effect of the above-mentioned satellite and 5G dual-link dynamic detection method for reservoir slopes, and the description of this satellite and 5G dual-link dynamic detection system for reservoir slopes will not be repeated here.

[0119] Generally speaking, the satellite and 5G dual-link dynamic detection method for reservoir slopes obtains the detection data generated by the detection terminals at all key position points in the reservoir slope and forms a detection data packet queue to achieve distributed detection of the reservoir slope; based on the operation data of the 5G network and satellite network in the area where the reservoir slope is located, determine the 5G communication time period and satellite communication time period of the Internet of Things; based on the data transmission characteristics of the 5G communication time period and satellite communication time period, upload all the detection data packets in the detection data packet queue to the cloud platform through the 5G network and satellite network during the 5G communication time period and satellite communication time period, and make full use of the 5G network and satellite network to achieve dual-channel transmission of detection data; sort out and analyze the detection data packets received by the cloud platform, obtain the structural state change information of the reservoir slope, generate a dynamic map of the distribution of structurally unstable areas in the reservoir slope, and send warning notification messages through the cloud platform, making full use of the advantages of 5G and satellite dual-channel communication to improve the upload efficiency of detection data and ensure the real-time and reliability of the deformation monitoring of the reservoir slope.

[0120] The above is only a specific embodiment of the present invention, and any improvement made on the premise of the present invention's concept is regarded as the protection scope of the present invention.

Claims

1. A dynamic detection method for reservoir slopes with satellite and 5G dual links, characterized in that, Including: Obtain the detection data generated by the detection ends of all key position points in the reservoir slope, and preprocess the detection data to obtain a detection data packet queue; Based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication period and the satellite communication period of the Internet of Things where all detection ends are located; Based on the data transmission characteristics of the 5G network during the 5G communication period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network; Based on the data transmission characteristics of the satellite network during the satellite communication period, compress all the detection data packets that have not been uploaded in the detection data packet queue, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network; Sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; Analyze and process the restored detection data packet queue to obtain the structural state change information of the reservoir slope; Based on the structural state change information, generate a dynamic map of the distribution of structurally unstable areas in the reservoir slope; Based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform.

2. The dynamic detection method for the reservoir slope with dual satellite and 5G links according to claim 1, wherein: Obtain the detection data generated by the detection ends of all key position points in the reservoir slope, and preprocess the detection data to obtain a detection data packet queue, including: Obtain the slope structure characteristic parameters and slope soil characteristic parameters generated by the detection ends of all key position points in the reservoir slope; wherein, the slope structure characteristic parameters include slope soil layer displacement parameters, slope crack size and position parameters; the slope soil characteristic parameters include slope soil humidity parameters; Based on the position coordinates of all key position points in the reservoir slope, divide all key position points into several key point groups; screen the slope structure characteristic parameters and slope soil characteristic parameters generated by all detection ends under the same key point group to obtain the slope structure characteristic parameters and slope soil characteristic parameters matched by the key point group, and integrate the matched slope structure characteristic parameters and slope soil characteristic parameters into detection data packets; Based on the chronological order of the generation time of the detection data packets corresponding to all key point groups, arrange the detection data packets corresponding to all key point groups into a detection data packet queue.

3. The dynamic detection method for the reservoir slope with dual satellite and 5G links according to claim 1, wherein: Based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located, determine the 5G communication period and the satellite communication period of the Internet of Things where all detection ends are located, including: Monitor the 5G network and satellite network in the area where the reservoir slope is located to obtain 5G network signal status data and satellite network signal status data; among them, the 5G network signal status data includes 5G network signal strength data and 5G network signal delay data; the satellite network signal status data includes satellite network signal strength data and satellite network signal delay data; Based on the 5G network signal status data and the satellite network signal status data, determine the 5G communication period and satellite communication period of the Internet of Things where all detection terminals are located.

4. The dynamic detection method of the reservoir slope with satellite and 5G dual links according to claim 3, characterized in that: Based on the 5G network signal status data and the satellite network signal status data, determining the 5G communication period and satellite communication period of the Internet of Things where all detection terminals are located includes: Based on the 5G network signal status data, estimate the 5G communication quality values of all sub-time intervals under the 5G network in a future time interval; Based on the satellite network signal status data, estimate the satellite communication quality values of all sub-time intervals under the satellite network in the future time interval; Based on the 5G communication quality value and satellite communication quality value corresponding to the same sub-time interval, determine whether the sub-time interval is suitable for 5G communication or satellite communication, so as to determine the 5G communication period and satellite communication period of the Internet of Things where all detection terminals are located.

5. The dynamic detection method of the reservoir slope with satellite and 5G dual links according to claim 1, characterized in that: Based on the data transmission characteristics of the 5G network during the 5G communication period, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network, including: Based on the available data transmission bandwidth change characteristics of the 5G network during the 5G communication period, determine the available data transmission bandwidth values of all sub-time intervals under the 5G communication period; based on the available data transmission bandwidth values, select several detection data packets suitable for 5G upload from the detection data packet queue, and upload the several detection data packets suitable for 5G upload to the cloud platform through the 5G network.

6. The dynamic detection method of the reservoir slope with satellite and 5G dual links according to claim 1, characterized in that: Based on the data transmission characteristics of the satellite network during the satellite communication period, compress all the detection data packets that have not been uploaded in the detection data packet queue, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network, including: Based on the available data transmission bandwidth change characteristics of the satellite network during the satellite communication period, determine the available data transmission bandwidth values of all sub-time intervals under the satellite communication period; based on the available data transmission bandwidth values, perform redundant data removal and compression processing on all the detection data packets that have not been uploaded in the detection data packet queue, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network.

7. The dynamic detection method for reservoir slope with satellite and 5G dual links as claimed in claim 6, wherein: Determine the available data transmission bandwidth values for each sub-time interval under the satellite communication period, including: Extract the available data transmission bandwidth change rate for the satellite communication period corresponding to each unit time; wherein, the time length of the unit time is less than the time length of each sub-time interval under the satellite communication period; Obtain the fluctuation coefficient according to the available data transmission bandwidth change rates for the satellite communication periods corresponding to every two adjacent unit times; Wherein, the fluctuation coefficient is obtained through the following formula: Among them, S represents the fluctuation coefficient; P b represents the standard deviation of the change rate of the available data transmission bandwidth of every two adjacent satellite communication periods corresponding to all unit time; P represents the average value of the change rate of the available data transmission bandwidth of every two adjacent satellite communication periods corresponding to all unit time; T b represents the standard deviation of the time interval length corresponding to all sub-time intervals under the satellite communication period; T d represents the time length corresponding to the unit time; Compare the fluctuation coefficient with a preset fluctuation coefficient threshold; When the fluctuation coefficient exceeds the preset fluctuation coefficient threshold, obtain the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient; Utilize the ratio data between the preset fluctuation coefficient threshold and the fluctuation coefficient, and combine with the available data transmission bandwidth change rates for the satellite communication periods corresponding to every two adjacent unit times to obtain the available data transmission bandwidth values for each sub-time interval under the satellite communication period; Wherein, the available data transmission bandwidth values for each sub-time interval under the satellite communication period are obtained through the following formula: Among them, B represents the available data transmission bandwidth value corresponding to each sub-time interval under the satellite communication period; B e represents the theoretically available data transmission bandwidth value corresponding to each sub-time interval; n represents the total number of groups in every two adjacent unit time intervals; P i represents the change rate of the available data transmission bandwidth in the i-th group of unit time intervals; T d represents the time length corresponding to the unit time interval; T z represents the total length corresponding to the satellite communication period; S represents the fluctuation coefficient; S y represents the fluctuation coefficient; the preset fluctuation coefficient threshold.

8. The dynamic detection method for reservoir slope with satellite and 5G dual links as claimed in claim 1, wherein: Sort out all the detection data packets received by the cloud platform and restore them into a detection data packet queue; Analyze and process the restored detection data packet queue to obtain the structural state change information of the reservoir slope, including: Based on the generation time of each of the detection data packets received by the cloud platform, restore all the received detection data packets into a detection data packet queue; Decompose the restored detection data packet queue into a slope structure feature parameter queue and a slope soil feature parameter queue; based on the slope structure feature parameter queue, obtain the soil layer displacement speed change information and the slope crack size and position change information of the reservoir slope; based on the slope soil feature parameter queue, obtain the soil humidity change information of the reservoir slope; Predict the structural state change information of the reservoir slope based on the soil layer displacement speed change information, the slope crack size and position change information, and the soil humidity change information; wherein, the structural state change information includes the surface contour height change information and the slope crack extension position change information of the reservoir slope.

9. The dynamic detection method for reservoir slope with satellite and 5G dual links as claimed in claim 1, wherein: Generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope based on the structural state change information; Based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform, including: Generate a dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope based on the surface profile height change information and the slope crack extension position change information included in the structural state change information; wherein, the dynamic map of the distribution of settlement areas or landslide areas is used to characterize the dynamic area change of the settlement areas or landslide areas within the reservoir slope; based on the dynamic map of the distribution of settlement areas or landslide areas within the reservoir slope, send a warning notification message to the mobile terminal through the cloud platform; wherein, the warning notification message includes the coverage information of the geological structure deformation occurring in the reservoir slope.

10. The dynamic detection system for reservoir slopes with satellite and 5G dual links, characterized in that, Including: A detection data preprocessing module, configured to obtain the detection data generated by the detection ends of all key position points within the reservoir slope, preprocess the detection data, and obtain a detection data packet queue; A communication period determination module, configured to determine the 5G communication period and the satellite communication period of all the Internet of Things where the detection ends are located based on the operation data of the 5G network and the satellite network in the area where the reservoir slope is located; A first detection data uploading module, configured to select a number of detection data packets suitable for 5G uploading from the detection data packet queue based on the data transmission characteristics of the 5G network during the 5G communication period, and upload the number of detection data packets suitable for 5G uploading to the cloud platform through the 5G network; A second detection data uploading module, configured to perform compression processing on all the detection data packets that have not been uploaded in the detection data packet queue based on the data transmission characteristics of the satellite network during the satellite communication period, and then upload all the detection data packets that have not been uploaded to the cloud platform through the satellite network; A detection data analysis module, configured to sort out all the detection data packets received by the cloud platform and restore them to a detection data packet queue; Perform analysis and processing on the restored detection data packet queue to obtain the structural state change information of the reservoir slope; A slope structure dynamic characterization and warning notification module, configured to generate a dynamic map of the distribution of structurally unstable areas within the reservoir slope based on the structural state change information; Based on the dynamic map of the distribution of structurally unstable areas, send a warning notification message through the cloud platform.

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