Long-distance pipeline monitoring method and system based on 5G and Internet of Things satellites

Abstract

The invention provides a long-distance pipeline monitoring method and system based on 5G and Internet of Things satellites, and the method comprises the steps: carrying out the authentication and recognition of a sensing device connected with an underground pipeline, constructing a 5G communication channel between the sensing device and a ground monitoring platform, guaranteeing the real-time continuous obtaining of the detection data of the sensing device for the underground pipeline, carrying out the analysis of the detection data, and carrying out the monitoring of the underground pipeline. Abnormal pipeline intervals existing in the underground pipelines are recognized, and accurate positioning of abnormal state distribution of the underground pipelines is achieved; then analyzing the working state data of the abnormal pipeline section, marking all related pipeline sections related to the abnormal pipeline section, conveniently carrying out all-directional calibration on the pipeline which is possibly abnormal in the underground pipeline, determining the position information of the pipeline sections, and then analyzing the corresponding ground Internet of Things satellite images; obtaining ground state information of the pipeline sections; and based on the ground state information, a notification message is sent to the service platform, and the pipelines in the ground area are timely and accurately maintained.

Description

Technical Field

[0001] The present invention relates to the field of pipeline monitoring, and in particular to a long-distance pipeline monitoring method and system based on 5G and Internet of Things satellites. Background Art

[0002] Long-distance pipelines such as natural gas pipelines and oil pipelines are laid underground to transport natural gas and oil. These pipelines are laid over long distances and buried deep. Currently, manual inspections are used to inspect the ground areas corresponding to the pipelines. This method is limited to the detection of the surface of the pipelines, and it is impossible to detect the underground status of the pipelines in real time. In addition, manual inspections have a small coverage area and take a long time, and it is impossible to comprehensively and accurately locate abnormal areas of the pipelines. In addition, manual inspections have time lags, and cannot perform stable and reliable inspections of pipelines over a large area around the clock, and cannot guarantee the safety of pipeline operation. Summary of the invention

[0003] The purpose of the present invention is to provide a long-distance pipeline monitoring method and system based on 5G and IoT satellites, authenticate and identify sensor equipment connected to underground pipelines, build a 5G communication channel between the sensor equipment and the ground monitoring platform, ensure real-time and continuous acquisition of detection data of underground pipelines by sensor equipment, and analyze the detection data to identify abnormal pipeline intervals in underground pipelines, so as to accurately locate the abnormal state distribution of underground pipelines; then analyze the working state data of abnormal pipeline intervals, identify all associated pipeline intervals related to abnormal pipeline intervals, facilitate all-round calibration of underground pipelines where abnormalities may occur, and determine the location information of these pipeline intervals, and then analyze the corresponding ground IoT satellite images to obtain the ground state information of these pipeline intervals, so as to realize real-time and comprehensive identification of the ground corresponding to the pipeline; also based on the ground state information, judge whether a pipeline safety incident occurs in the ground area, and send a notification message to the service platform, so as to timely and accurately maintain the pipelines in the ground area.

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

[0005] The long-distance pipeline monitoring method based on 5G and IoT satellite includes:

[0006] Authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform; obtain the detection data of the sensor equipment based on the 5G communication channel; analyze the detection data to identify the abnormal pipeline section of the underground pipeline;

[0007] Analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information;

[0008] Based on the pipeline section location information, the ground IoT satellite image of the corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain the ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, so as to send a corresponding notification message to the service platform.

[0009] Optionally, authenticating a sensor device of the underground pipeline and establishing a 5G communication channel between the sensor device and a ground monitoring platform; acquiring detection data of the sensor device based on the 5G communication channel; and analyzing the detection data to identify an abnormal pipeline section of the underground pipeline, including:

[0010] Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list. If the device identity information exists in the preset identity information list, it is determined that the authentication of the sensor device is successful, and a 5G communication channel between the sensor device and the ground monitoring platform is established;

[0011] Based on the 5G communication channel, a data acquisition instruction is sent to the sensor device to acquire the detection data of the sensor device; wherein the data acquisition instruction includes the generation time of the detection data to be acquired;

[0012] The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

[0013] Optionally, the working status data of the abnormal pipeline section is analyzed to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and the abnormal pipeline section and the associated pipeline section are located to obtain corresponding pipeline section location information, including:

[0014] Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are related to material transport of the abnormal pipeline section;

[0015] The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

[0016] Optionally, based on the pipeline section location information, a ground IoT satellite image of a corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, thereby sending a corresponding notification message to the service platform, including:

[0017] Based on the pipeline section location information, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain ground IoT satellite images of the corresponding positions of the abnormal pipeline section and the associated pipeline section; the ground IoT satellite image is analyzed to obtain ground contour information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground contour information, it is determined whether a ground landslide event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground landslide event occurs, a notification message including the location and area of ​​the ground landslide event is sent to a service platform.

[0018] Optionally, based on the ground contour information, it is determined whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground collapse event occurs, a notification message including the location and area of ​​the ground collapse event is sent to the service platform, including:

[0019] Step S1, using the following formula (1), before sending a notification message containing the location and area of ​​the ground landslide event to the service platform, the notification message is segmented.

[0020]

[0021] In the above formula (1), d1 16 Indicates the hexadecimal format of the first sub-data after data segmentation; d2 16 Indicates the hexadecimal format of the second sub-data after data segmentation; D 16 Indicates the hexadecimal format of the notification message data including the location and area of ​​the ground collapse event; >> indicates the right shift symbol; Indicates rounding up; len() indicates the total number of digits in the data in brackets;

[0022] Step S2: Using the following formula (2), data compression is performed based on the two sub-data after data segmentation, and the two compressed data are sent to the service platform in sequence.

[0023]

[0024] In the above formula (2), d1' 16 Indicates the hexadecimal format of the first sub-data after data compression; d2' 16 represents the hexadecimal format of the second sub-data after data compression;

[0025] Step S3, after the service platform receives the data, it uses the following formula (3) to restore and merge the two received data to obtain the original data.

[0026] D' 16 =(d2' 16 +d1' 16 )< <len(d1' 16 )+d1' 16 (3)

[0027] In the above formula (3), D' 16 It indicates that the service platform performs data restoration and data merging on the two received data to obtain the hexadecimal form of the original data; << indicates the left shift symbol.

[0028] The long-distance pipeline monitoring system based on 5G and IoT satellite includes:

[0029] A 5G communication connection module is used to authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform;

[0030] A detection data acquisition and analysis module, used to acquire detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify abnormal pipeline sections of the underground pipeline;

[0031] A pipeline section positioning module is used to analyze the working status data of the abnormal pipeline section, determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information;

[0032] A satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the pipeline section location information, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section;

[0033] The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform.

[0034] Optionally, the 5G communication connection module is used to authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform, including:

[0035] Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list. If the device identity information exists in the preset identity information list, it is determined that the authentication of the sensor device is successful, and a 5G communication channel between the sensor device and the ground monitoring platform is established;

[0036] The detection data acquisition and analysis module is used to acquire the detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify the abnormal pipeline section of the underground pipeline, including:

[0037] Based on the 5G communication channel, a data acquisition instruction is sent to the sensor device to acquire the detection data of the sensor device; wherein the data acquisition instruction includes the generation time of the detection data to be acquired;

[0038] The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

[0039] Optionally, the pipeline section positioning module is used to analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information, including:

[0040] Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are related to material transport of the abnormal pipeline section;

[0041] The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

[0042] Optionally, the satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the pipeline section location information, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section, including:

[0043] Based on the pipeline section location information, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain the ground IoT satellite image of the corresponding position of the abnormal pipeline section and the associated pipeline section; the ground IoT satellite image is analyzed to obtain the ground contour information corresponding to the abnormal pipeline section and the associated pipeline section;

[0044] The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform, including:

[0045] Based on the ground contour information, determine whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground collapse event occurs, send a notification message including the location and area of ​​the ground collapse event to the service platform.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The long-distance pipeline monitoring method and system based on 5G and IoT satellite provided in the present application authenticate and identify the sensor equipment connected to the underground pipeline, build a 5G communication channel between the sensor equipment and the ground monitoring platform, ensure real-time and continuous acquisition of the detection data of the underground pipeline by the sensor equipment, and analyze the detection data to identify the abnormal pipeline intervals in the underground pipeline, so as to accurately locate the abnormal status distribution of the underground pipeline; then analyze the working status data of the abnormal pipeline interval, and mark all related pipeline intervals related to the abnormal pipeline interval, so as to facilitate the all-round calibration of the underground pipelines where abnormalities may occur, and determine the location information of these pipeline intervals, and then analyze the corresponding ground IoT satellite images to obtain the ground status information of these pipeline intervals, so as to realize real-time and comprehensive identification of the ground corresponding to the pipeline; and also judge whether a pipeline safety incident occurs in the ground area based on the ground status information, and send a notification message to the service platform, so as to carry out timely and accurate maintenance of the pipelines in the ground area. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0049] Figure 1 A schematic flow chart of the long-distance pipeline monitoring method based on 5G and IoT satellite provided by the present invention.

[0050] Figure 2 This is a schematic diagram of the structure of the long-distance pipeline monitoring system based on 5G and IoT satellite provided by the present invention. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0052] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0053] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0054] See also Figure 1 As shown, a long-distance pipeline monitoring method based on 5G and IoT satellite provided in one embodiment of the present application includes:

[0055] Authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform; obtain the detection data of the sensor equipment based on the 5G communication channel; analyze the detection data to identify the abnormal pipeline section of the underground pipeline;

[0056] Analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information;

[0057] Based on the location information of the pipeline section, the ground IoT satellite image of the corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain the ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, and a corresponding notification message is sent to the service platform.

[0058] The beneficial effects of the above embodiments are as follows: the long-distance pipeline monitoring method based on 5G and IoT satellite authenticates and identifies the sensor equipment connected to the underground pipeline, builds a 5G communication channel between the sensor equipment and the ground monitoring platform, ensures real-time and continuous acquisition of the detection data of the underground pipeline by the sensor equipment, and analyzes the detection data to identify the abnormal pipeline intervals in the underground pipeline, and accurately locates the abnormal status distribution of the underground pipeline; then analyzes the working status data of the abnormal pipeline interval, and identifies all associated pipeline intervals related to the abnormal pipeline interval, so as to facilitate the all-round calibration of the underground pipeline where abnormalities may occur, and determine the location information of these pipeline intervals, and then analyzes the corresponding ground IoT satellite images to obtain the ground status information of these pipeline intervals, so as to realize real-time and comprehensive identification of the ground corresponding to the pipeline; also based on the ground status information, it is judged whether a pipeline safety incident occurs in the ground area, and a notification message is sent to the service platform, so as to carry out timely and accurate maintenance of the pipeline in the ground area. Among them, the long-distance pipeline can be but not limited to a straight long-distance or curved long-distance pipeline; the pipeline can be but not limited to cables of railway rail transit stations, cables of marshalling yards, direct buried cables, pipelines, trough optical cables, signal cables, power cables and other cables in sections, and natural gas and oil transmission pipelines.

[0059] In another embodiment, a sensor device of an underground pipeline is authenticated, and a 5G communication channel between the sensor device and a ground monitoring platform is established; based on the 5G communication channel, detection data of the sensor device is acquired; and the detection data is analyzed to identify an abnormal pipeline section of the underground pipeline, including:

[0060] Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list. If the device identity information exists in the preset identity information list, it is determined that the authentication of the sensor device is successful, and a 5G communication channel between the sensor device and the ground monitoring platform is established;

[0061] Based on the 5G communication channel, a data acquisition instruction is sent to the sensor device to acquire detection data of the sensor device; wherein the data acquisition instruction includes a generation time of the detection data to be acquired;

[0062] The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

[0063] The beneficial effect of the above embodiment is that during the laying process of the underground pipeline, sensing equipment such as temperature sensors and pressure sensors will be laid synchronously to detect the temperature and pressure of the underground environment where the underground pipeline is located. In the actual laying process of the sensing equipment, a number of temperature sensors and a number of pressure sensors can be laid at equal intervals along the length direction of the underground pipeline, so as to detect the temperature and pressure of the underground pipeline in different sections along its own length direction, and realize the full range of real-time detection of the underground pipeline. Each temperature sensor and each pressure sensor works independently, and can be connected to the ground monitoring platform for 5G communication alone, so as to upload the temperature data and pressure data obtained by its own detection to the ground monitoring platform. Specifically, the temperature sensor and the pressure sensor will automatically send out a communication connection request, and the ground monitoring platform will identify the received communication connection request, extract the device identity information about the temperature sensor or pressure sensor contained therein, and then compare the device identity information with the preset identity information list, and then after the authentication of the temperature sensor or pressure sensor is successful, a 5G communication channel between the temperature sensor or pressure sensor and the ground monitoring platform is constructed, thereby realizing the wireless communication connection between the temperature sensor or pressure sensor and the ground monitoring platform. Then send a data acquisition instruction to the temperature sensor or pressure sensor to obtain the detection data generated within the corresponding time range, and further determine the average temperature value and average pressure value of the underground environment where the underground pipeline is located within the time range. If the average temperature value is greater than the preset temperature threshold or the average pressure value is greater than the preset pressure threshold, the corresponding pipeline section is determined as an abnormal pipeline section, thereby realizing rapid and accurate identification and calibration of the abnormal pipeline section.

[0064] In another embodiment, the working status data of the abnormal pipeline section is analyzed to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and the abnormal pipeline section and the associated pipeline section are located to obtain corresponding pipeline section location information, including:

[0065] Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are relevant to the material transport of the abnormal pipeline section;

[0066] The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

[0067] The beneficial effect of the above embodiment is that the transportation direction data of natural gas or oil and other materials inside the pipeline of the abnormal pipeline section is analyzed to determine other pipeline sections through which the materials inside the abnormal pipeline section are transported in the entire underground pipeline, so that the other pipeline sections are used as associated pipeline sections of the abnormal pipeline section. Then, the position sensor pre-set in the underground pipeline is used to locate the abnormal pipeline section and the associated pipeline section, and the position information (such as longitude and latitude information, etc.) corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section is obtained, so that it is convenient to perform satellite image analysis only on the abnormal pipeline section and the associated pipeline section in the future, reducing the workload of image analysis and recognition.

[0068] In another embodiment, based on the position information of the pipeline section, a ground IoT satellite image of the corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, thereby sending a corresponding notification message to the service platform, including:

[0069] Based on the location information of the pipeline section, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain the ground IoT satellite image of the corresponding position of the abnormal pipeline section and the associated pipeline section; the ground IoT satellite image is analyzed to obtain the ground contour information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground contour information, it is determined whether a ground landslide event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground landslide event occurs, a notification message including the location and area of ​​the ground landslide event is sent to the service platform.

[0070] The beneficial effect of the above embodiment is that in the actual monitoring process, the ground corresponding to the underground pipeline distribution area is photographed by using the Internet of Things satellite to obtain the Internet of Things satellite image; wherein, the Internet of Things satellite can be but is not limited to a satellite with remote sensing shooting function connected to the Internet of Things. Then, based on the pipeline interval position information corresponding to the abnormal pipeline interval and the associated pipeline interval, the Internet of Things satellite image is subjected to image interception processing to obtain the ground Internet of Things satellite image of the abnormal pipeline interval and the associated pipeline interval corresponding position, and the ground Internet of Things satellite image is subjected to pixel contour recognition processing to obtain the ground contour information of the corresponding ground area. Then, the ground contour information of the ground area is compared with other adjacent ground contour information. If the height difference of the ground contours of the two ground areas is greater than the threshold difference threshold, it can be determined whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline interval and the associated pipeline interval. Then, a notification message containing the location and area of ​​the ground collapse event is sent to the service platform, so that maintenance personnel can quickly and accurately reach the area where the ground collapse event occurs according to the notification message for rescue and maintenance.

[0071] In another embodiment, based on the ground contour information, it is determined whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground collapse event occurs, a notification message including the location and area of ​​the ground collapse event is sent to the service platform, including:

[0072] Step S1, using the following formula (1), before sending a notification message containing the location and area of ​​the ground landslide event to the service platform, the notification message is segmented.

[0073]

[0074] In the above formula (1), d1 16 Indicates the hexadecimal format of the first sub-data after data segmentation; d2 16 Indicates the hexadecimal format of the second sub-data after data segmentation; D 16 Indicates the hexadecimal format of the notification message data including the location and area of ​​the ground collapse event; >> indicates the right shift symbol; Indicates rounding up; len() indicates the total number of digits in the data in brackets;

[0075] Step S2: Using the following formula (2), data compression is performed based on the two sub-data after data segmentation, and the two compressed data are sent to the service platform in sequence.

[0076]

[0077] In the above formula (2), d1' 16Indicates the hexadecimal format of the first sub-data after data compression; d2' 16 represents the hexadecimal format of the second sub-data after data compression;

[0078] Step S3, after the service platform receives the data, it uses the following formula (3) to restore and merge the two received data to obtain the original data:

[0079] D' 16 =(d2' 16 +d1' 16 )< <len(d1' 16 )+d1' 16 (3)

[0080] In the above formula (3), D' 16 It indicates that the service platform performs data restoration and data merging on the two received data to obtain the hexadecimal form of the original data; << indicates the left shift symbol.

[0081] The beneficial effect of the above embodiment is that, using the above formula (1), before sending a notification message containing the location and area of ​​the ground collapse event to the service platform, the notification message is segmented, thereby segmenting the data into two sub-data with different data volumes, which is convenient for subsequent data compression of the data with a larger data volume; then using the above formula (2), data compression is performed according to the two sub-data after data segmentation, and the two compressed data are sent to the service platform in sequence, thereby ensuring that the compression can be faithful and can be restored reliably and accurately; finally, using the above formula (3), the two received data are restored and merged to obtain the original data, thereby ensuring the accuracy of the data after compression and restoration.

[0082] See also Figure 2 As shown, a long-distance pipeline monitoring system based on 5G and IoT satellite provided by an embodiment of the present application includes:

[0083] 5G communication connection module, used to authenticate the sensor equipment of underground pipelines and build a 5G communication channel between the sensor equipment and the ground monitoring platform;

[0084] A detection data acquisition and analysis module is used to acquire detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify abnormal pipeline sections of the underground pipeline;

[0085] The pipeline section positioning module is used to analyze the working status data of the abnormal pipeline section, determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain the corresponding pipeline section position information;

[0086] A satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the position information of the pipeline section, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section;

[0087] The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform.

[0088] The beneficial effects of the above embodiments are as follows: the long-distance pipeline monitoring system based on 5G and IoT satellite authenticates and identifies the sensor equipment connected to the underground pipeline, builds a 5G communication channel between the sensor equipment and the ground monitoring platform, ensures real-time and continuous acquisition of the detection data of the underground pipeline by the sensor equipment, and analyzes the detection data to identify the abnormal pipeline intervals in the underground pipeline, and accurately locates the abnormal status distribution of the underground pipeline; then analyzes the working status data of the abnormal pipeline interval, and identifies all associated pipeline intervals related to the abnormal pipeline interval, so as to facilitate the all-round calibration of the underground pipeline where abnormalities may occur, and determine the location information of these pipeline intervals, and then analyzes the corresponding ground IoT satellite images to obtain the ground status information of these pipeline intervals, so as to realize real-time and comprehensive identification of the ground corresponding to the pipeline; also based on the ground status information, it is judged whether a pipeline safety incident occurs in the ground area, and a notification message is sent to the service platform, so as to carry out timely and accurate maintenance of the pipeline in the ground area. Among them, the long-distance pipeline can be but not limited to a straight long-distance or curved long-distance pipeline; the pipeline can be but not limited to cables of railway rail transit stations, cables of marshalling yards, direct buried cables, pipelines, trough optical cables, signal cables, power cables and other cables in sections, and natural gas and oil transmission pipelines.

[0089] In another embodiment, the 5G communication connection module is used to authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform, including:

[0090] Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list. If the device identity information exists in the preset identity information list, it is determined that the authentication of the sensor device is successful, and a 5G communication channel between the sensor device and the ground monitoring platform is established;

[0091] The detection data acquisition and analysis module is used to acquire the detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify the abnormal pipeline section of the underground pipeline, including:

[0092] Based on the 5G communication channel, a data acquisition instruction is sent to the sensor device to acquire detection data of the sensor device; wherein the data acquisition instruction includes a generation time of the detection data to be acquired;

[0093] The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

[0094] The beneficial effect of the above embodiment is that during the laying process of the underground pipeline, sensing equipment such as temperature sensors and pressure sensors will be laid synchronously to detect the temperature and pressure of the underground environment where the underground pipeline is located. In the actual laying process of the sensing equipment, a number of temperature sensors and a number of pressure sensors can be laid at equal intervals along the length direction of the underground pipeline, so as to detect the temperature and pressure of the underground pipeline in different sections along its own length direction, and realize the full range of real-time detection of the underground pipeline. Each temperature sensor and each pressure sensor works independently, and can be connected to the ground monitoring platform for 5G communication alone, so as to upload the temperature data and pressure data obtained by its own detection to the ground monitoring platform. Specifically, the temperature sensor and the pressure sensor will automatically send out a communication connection request, and the ground monitoring platform will identify the received communication connection request, extract the device identity information about the temperature sensor or pressure sensor contained therein, and then compare the device identity information with the preset identity information list, and then after the authentication of the temperature sensor or pressure sensor is successful, a 5G communication channel between the temperature sensor or pressure sensor and the ground monitoring platform is constructed, thereby realizing the wireless communication connection between the temperature sensor or pressure sensor and the ground monitoring platform. Then send a data acquisition instruction to the temperature sensor or pressure sensor to obtain the detection data generated within the corresponding time range, and further determine the average temperature value and average pressure value of the underground environment where the underground pipeline is located within the time range. If the average temperature value is greater than the preset temperature threshold or the average pressure value is greater than the preset pressure threshold, the corresponding pipeline section is determined as an abnormal pipeline section, thereby realizing rapid and accurate identification and calibration of the abnormal pipeline section.

[0095] In another embodiment, the pipeline section positioning module is used to analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locate the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information, including:

[0096] Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are relevant to the material transport of the abnormal pipeline section;

[0097] The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

[0098] The beneficial effect of the above embodiment is that the transportation direction data of natural gas or oil and other materials inside the pipeline of the abnormal pipeline section is analyzed to determine other pipeline sections through which the materials inside the abnormal pipeline section are transported in the entire underground pipeline, so that the other pipeline sections are used as associated pipeline sections of the abnormal pipeline section. Then, the position sensor pre-set in the underground pipeline is used to locate the abnormal pipeline section and the associated pipeline section, and the position information (such as longitude and latitude information, etc.) corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section is obtained, so that it is convenient to perform satellite image analysis only on the abnormal pipeline section and the associated pipeline section in the future, reducing the workload of image analysis and recognition.

[0099] In another embodiment, the satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the pipeline interval position information, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline interval and the associated pipeline interval, including:

[0100] Based on the pipeline section location information, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain the ground IoT satellite image of the abnormal pipeline section and the corresponding position of the associated pipeline section; the ground IoT satellite image is analyzed to obtain the ground contour information corresponding to the abnormal pipeline section and the associated pipeline section;

[0101] The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform, including:

[0102] Based on the ground contour information, determine whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground collapse event occurs, send a notification message including the location and area of ​​the ground collapse event to the service platform.

[0103] The beneficial effect of the above embodiment is that in the actual monitoring process, the ground corresponding to the underground pipeline distribution area is photographed by using the Internet of Things satellite to obtain the Internet of Things satellite image; wherein, the Internet of Things satellite can be but is not limited to a satellite with remote sensing shooting function connected to the Internet of Things. Then, based on the pipeline interval position information corresponding to the abnormal pipeline interval and the associated pipeline interval, the Internet of Things satellite image is subjected to image interception processing to obtain the ground Internet of Things satellite image of the abnormal pipeline interval and the associated pipeline interval corresponding position, and the ground Internet of Things satellite image is subjected to pixel contour recognition processing to obtain the ground contour information of the corresponding ground area. Then, the ground contour information of the ground area is compared with other adjacent ground contour information. If the height difference of the ground contours of the two ground areas is greater than the threshold difference threshold, it can be determined whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline interval and the associated pipeline interval. Then, a notification message containing the location and area of ​​the ground collapse event is sent to the service platform, so that maintenance personnel can quickly and accurately reach the area where the ground collapse event occurs according to the notification message for rescue and maintenance.

[0104] In general, the long-distance pipeline monitoring method and system based on 5G and IoT satellite authenticates and identifies the sensor equipment connected to the underground pipeline, builds a 5G communication channel between the sensor equipment and the ground monitoring platform, ensures real-time and continuous acquisition of the detection data of the underground pipeline by the sensor equipment, and analyzes the detection data to identify the abnormal pipeline intervals in the underground pipeline, and accurately locates the abnormal status distribution of the underground pipeline; then analyzes the working status data of the abnormal pipeline interval, and identifies all related pipeline intervals related to the abnormal pipeline interval, so as to facilitate the all-round calibration of the underground pipeline where abnormalities may occur, and determine the location information of these pipeline intervals, and then analyze the corresponding ground IoT satellite images to obtain the ground status information of these pipeline intervals, so as to realize real-time and comprehensive identification of the corresponding ground of the pipeline; also based on the ground status information, it is judged whether a pipeline safety incident occurs in the ground area, and a notification message is sent to the service platform, so as to carry out timely and accurate maintenance of the pipeline in the ground area.

[0105] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims

1. A long-distance pipeline monitoring method based on 5G and IoT satellites, characterized in that: include: Authenticate the sensor equipment of underground pipelines and build a 5G communication channel between the sensor equipment and the ground monitoring platform; Based on the 5G communication channel, acquiring detection data of the sensor device; Analyzing the detection data to identify abnormal pipeline sections of the underground pipeline; Analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locating the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information; Based on the pipeline section location information, the ground IoT satellite image of the corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain the ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, so as to send a corresponding notification message to the service platform.

2. The long-distance pipeline monitoring method based on 5G and IoT satellite as claimed in claim 1 is characterized in that: Authenticate the sensor equipment of underground pipelines and build a 5G communication channel between the sensor equipment and the ground monitoring platform; Based on the 5G communication channel, acquiring detection data of the sensor device; Analyzing the detection data to identify abnormal pipeline sections of the underground pipelines includes: Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list, if the device identity information exists in the preset identity information list, determine that the authentication of the sensor device is successful, and build a 5G communication channel between the sensor device and the ground monitoring platform; based on the 5G communication channel, send a data acquisition instruction to the sensor device to obtain the detection data of the sensor device; wherein the data acquisition instruction includes the generation time of the detection data to be obtained; The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

3. The long-distance pipeline monitoring method based on 5G and IoT satellite as claimed in claim 1, characterized in that: Analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; The abnormal pipeline section and the associated pipeline section are located to obtain corresponding pipeline section location information, including: Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are related to material transport of the abnormal pipeline section; The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

4. The long-distance pipeline monitoring method based on 5G and IoT satellite as claimed in claim 1 is characterized in that: Based on the pipeline section location information, a ground IoT satellite image of a corresponding position is obtained, and the ground IoT satellite image is analyzed to obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground status information, it is determined whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section, thereby sending a corresponding notification message to the service platform, including: Based on the pipeline section location information, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain ground IoT satellite images of the corresponding positions of the abnormal pipeline section and the associated pipeline section; the ground IoT satellite image is analyzed to obtain ground contour information corresponding to the abnormal pipeline section and the associated pipeline section; based on the ground contour information, it is determined whether a ground landslide event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground landslide event occurs, a notification message including the location and area of ​​the ground landslide event is sent to a service platform.

5. The long-distance pipeline monitoring method based on 5G and IoT satellite as claimed in claim 1, characterized in that: Based on the ground contour information, determining whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; If a ground collapse occurs, a notification message including the location and area of ​​the collapse is sent to the service platform, including: Step S1, using the following formula (1), before sending a notification message containing the location and area of ​​the ground landslide event to the service platform, the notification message is segmented. In the above formula (1), d1 16 Indicates the hexadecimal format of the first sub-data after data segmentation; d2 16 Indicates the hexadecimal format of the second sub-data after data segmentation; D 16 Indicates the hexadecimal format of the notification message data including the location and area of ​​the ground collapse event; >> indicates the right shift symbol; Indicates rounding up; len() indicates the total number of digits in the data in brackets; Step S2: Using the following formula (2), data compression is performed based on the two sub-data after data segmentation, and the two compressed data are sent to the service platform in sequence. In the above formula (2), d1' 16 Indicates the hexadecimal format of the first sub-data after data compression; d2' 16 Indicates the hexadecimal format of the second sub-data after data compression; Step S3, after the service platform receives the data, it uses the following formula (3) to restore and merge the two received data to obtain the original data. D' 16 =(d2' 16 +d1' 16 )<<len(d1' 16 )+d1' 16 (3) In the above formula (3), D' 16 It indicates that the service platform performs data restoration and data merging on the two received data to obtain the hexadecimal form of the original data; << indicates the left shift symbol.

6. The long-distance pipeline monitoring system based on 5G and IoT satellite is characterized by: include: A 5G communication connection module is used to authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform; A detection data acquisition and analysis module, used to acquire detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify abnormal pipeline sections of the underground pipeline; A pipeline section positioning module, used for analyzing the working status data of the abnormal pipeline section, and determining all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and locating the abnormal pipeline section and the associated pipeline section to obtain corresponding pipeline section location information; A satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the pipeline section location information, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section; The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform.

7. The long-distance pipeline monitoring system based on 5G and IoT satellite as claimed in claim 6, characterized in that: The 5G communication connection module is used to authenticate the sensor equipment of the underground pipeline and build a 5G communication channel between the sensor equipment and the ground monitoring platform, including: Analyze the communication connection request of the sensor device from the underground pipeline to obtain the device identity information of the sensor device; compare the device identity information with the preset identity information list, if the device identity information exists in the preset identity information list, determine that the authentication of the sensor device is successful, and build a 5G communication channel between the sensor device and the ground monitoring platform; the detection data acquisition and analysis module is used to obtain the detection data of the sensor device based on the 5G communication channel; analyze the detection data to identify the abnormal pipeline section of the underground pipeline, including: Based on the 5G communication channel, a data acquisition instruction is sent to the sensor device to acquire the detection data of the sensor device; wherein the data acquisition instruction includes the generation time of the detection data to be acquired; The detection data is analyzed to obtain temperature status information and pressure status information of the underground environment in which the underground pipeline is located; based on the temperature status information and the pressure status information, an abnormal pipeline section of the underground pipeline is identified; wherein the abnormal pipeline section refers to a pipeline section in the underground pipeline that does not meet a preset temperature status condition or a preset pressure status condition.

8. The long-distance pipeline monitoring system based on 5G and IoT satellite as claimed in claim 6, characterized in that: The pipeline section positioning module is used to analyze the working status data of the abnormal pipeline section to determine all associated pipeline sections of the abnormal pipeline section in the underground pipeline; and The abnormal pipeline section and the associated pipeline section are located to obtain corresponding pipeline section location information, including: Analyze the pipeline internal material transport state data of the abnormal pipeline section to determine all associated pipeline sections in the underground pipeline that are related to material transport of the abnormal pipeline section; The abnormal pipeline section and the associated pipeline section are located to obtain position information corresponding to the entire pipeline section of each of the abnormal pipeline section and the associated pipeline section.

9. The long-distance pipeline monitoring system based on 5G and IoT satellite as claimed in claim 6, characterized in that: The satellite image analysis module is used to obtain a ground IoT satellite image of a corresponding position based on the pipeline section location information, analyze the ground IoT satellite image, and obtain ground status information corresponding to the abnormal pipeline section and the associated pipeline section, including: Based on the pipeline section location information, the IoT satellite image of the underground pipeline distribution area is intercepted and processed to obtain the ground IoT satellite image of the corresponding position of the abnormal pipeline section and the associated pipeline section; the ground IoT satellite image is analyzed to obtain the ground contour information corresponding to the abnormal pipeline section and the associated pipeline section; The ground status analysis and notification module is used to determine whether a pipeline safety accident occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section based on the ground status information, so as to send a corresponding notification message to the service platform, including: Based on the ground contour information, determine whether a ground collapse event occurs in the ground area corresponding to the abnormal pipeline section and the associated pipeline section; if a ground collapse event occurs, send a notification message including the location and area of ​​the ground collapse event to the service platform.

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