Geological environment monitoring system based on cloud edge coordination

Abstract

A geological environment monitoring system based on cloud edge coordination relates to the technical field of geological monitoring and comprises a main control center which is in communication connection with a region division module, a resident acquisition module, a first monitoring module, a second monitoring module, a landslide comparison module and an information feedback module. The region division module is used for obtaining monitoring sub-regions and marking landslide points; the resident acquisition module is used for acquiring various information of residents; the first monitoring module is used for obtaining a terrain coefficient of a landslide point; the second monitoring module is used for obtaining a water level coefficient and a rainfall coefficient of a landslide point; the landslide comparison module is used for obtaining a comprehensive coefficient so as to obtain similar landslide records; the information feedback module is used for carrying out landslide early warning on residents; the potential landslide points can be compared according to the previous landslide records, the predicted landslide range of the monitored landslide points can be approximately obtained, and all residents in the predicted landslide range can be early warned in time.

Description

Technical Field

[0001] The present invention relates to the field of geological monitoring technology, and in particular to a geological environment monitoring system based on cloud-edge coordination. Background Art

[0002] The geological environment refers to the natural environment within the earth's crust, including various natural elements such as rocks, soil, groundwater, strata, and topography. The geological environment has a great impact on the earth's surface environment and human activities. Understanding the geological environment helps us predict and avoid natural disasters, rationally develop and utilize underground resources, and protect the environment, such as monitoring and predicting landslide disasters; In the prior art, the monitoring of landslide disasters is mostly based on the collection and analysis of satellite images. The terrain images of the landslide points are analyzed to determine whether a landslide will occur. This method is only applicable to situations where the terrain changes significantly, and ignores the impact of groundwater levels and rainfall on landslides. In addition, the prior art lacks effective utilization of data on landslide events that have already occurred. If potential landslide points are compared based on landslide records of the same terrain, the corresponding predicted landslide range can be roughly obtained. In view of the shortcomings of the prior art, the present invention provides a geological environment monitoring system based on cloud-edge coordination. Summary of the invention

[0003] The purpose of the present invention is to provide a geological environment monitoring system based on cloud-edge coordination.

[0004] The object of the present invention can be achieved by the following technical solutions: A geological environment monitoring system based on cloud-edge coordination, comprising a main control center, wherein the main control center is communicatively connected with a region division module, a resident collection module, a first monitoring module, a second monitoring module, a landslide comparison module, and an information feedback module; The area division module is used to divide the monitoring area into several monitoring sub-areas, and mark the existing landslide points and potential landslide points in each monitoring sub-area; The resident collection module is used to collect and store the identity information and housing information of the residents in each monitoring sub-area; The first monitoring module is used to regularly collect terrain images of existing landslide points and potential landslide points, and obtain corresponding terrain coefficients according to the collected terrain images; The second monitoring module is used to monitor the groundwater level and rainfall of existing landslide points and potential landslide points respectively, and obtain the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively; The landslide comparison module is used to obtain the corresponding comprehensive coefficient according to the terrain coefficient, the water level coefficient and the rainfall coefficient, and is also used to construct a cloud database, and obtain the corresponding similar landslide records in the cloud database according to the comprehensive coefficient; The information feedback module is used to provide landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records.

[0005] Furthermore, the region division module divides the monitoring region into a plurality of monitoring sub-regions, and the process of marking the existing landslide points and potential landslide points in each monitoring sub-region includes: Obtain a rectangular area that is large enough to accommodate the entire monitoring range, and mark the obtained rectangular area as the monitoring area. Divide the monitoring area into a number of rectangular sub-areas by an equal division method. Determine the number of divisions of the monitoring area according to the actual area of ​​the monitoring area, and mark the rectangular sub-area obtained after the last division as the monitoring sub-area. The locations where landslides have occurred in each monitoring sub-area are marked as existing landslide points, the average of the slopes of all existing landslide points is obtained and marked as the average slope of landslide points, and the locations in each monitoring sub-area where the slope is greater than or equal to the average slope of landslide points are marked as potential landslide points. Both existing landslide points and potential landslide points are landslide points.

[0006] Furthermore, the process of the resident collection module collecting and storing the identity information and housing information of the residents in each monitoring sub-area includes: Setting a registration unit and a resident database, inputting the identity information of the resident into the registration unit to complete the registration, and uploading the obtained identity information to the resident database for storage; A login unit and an input unit are provided. Residents who have completed registration complete the login through the login unit, input their own house information through the input unit, and upload the input house information to the resident database for storage.

[0007] Furthermore, the first monitoring module regularly collects terrain images of existing landslide points and potential landslide points, and the process of obtaining corresponding terrain coefficients according to the collected terrain images includes: Setting a collection cycle and an image collection unit, when a collection cycle is reached, collecting terrain images of existing landslide points and potential landslide points in each monitoring sub-area through the image collection unit; An image processing unit is set to obtain a rear terrain image of the landslide point in a current acquisition cycle and a front terrain image in a previous acquisition cycle, and the similarity between the rear terrain image and the front terrain image is obtained by the image processing unit, and marked as the similarity of the current acquisition cycle; The same method is adopted to obtain the similarity of each acquisition period, and the obtained similarity is evaluated for change to obtain the corresponding similarity change coefficient. A similarity change threshold is set, and the similarity change coefficient is compared with the similarity change threshold. According to the comparison result, the obtained similarity change coefficient is divided into normal change or abnormal change, and the similarity corresponding to the similarity change coefficient marked as abnormal change is marked as the terrain coefficient of the landslide point.

[0008] Furthermore, the second monitoring module monitors the groundwater level and rainfall of the existing landslide point and the potential landslide point respectively, and the process of obtaining the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively includes: A water level monitoring unit and a rainfall monitoring unit are respectively set at the existing landslide point and the potential landslide point. When a collection cycle is reached, the groundwater level of the landslide point is obtained through the water level monitoring unit, and the rainfall of the landslide point is obtained through the rainfall monitoring unit. The obtained groundwater level is evaluated for change to obtain a corresponding water level change coefficient, a water level change threshold is set, the water level change coefficient is compared with the water level change threshold, and the obtained water level change coefficient is classified into a normal change or an abnormal change according to the comparison result, and the groundwater level corresponding to the water level change coefficient marked as an abnormal change is marked as the water level coefficient of the landslide point; The same method is adopted to obtain the corresponding rainfall variation coefficient according to the monitored rainfall, and then the rainfall coefficient of the landslide point is obtained according to the rainfall variation coefficient.

[0009] Furthermore, the process of obtaining the corresponding comprehensive coefficient of the landslide comparison module according to the terrain coefficient, the water level coefficient and the rainfall coefficient includes: The corresponding landslide weights are set for the terrain coefficient, water level coefficient and rainfall coefficient obtained at the landslide point in the same acquisition period to obtain the comprehensive coefficient of the landslide point.

[0010] Furthermore, the landslide comparison module constructs a cloud database, and the process of obtaining the corresponding similar landslide records in the cloud database according to the comprehensive coefficient includes: Generate corresponding landslide records according to the landslide events that have occurred in each monitoring sub-area, build a cloud database of the monitoring area in the cloud, and upload the obtained landslide records to the cloud database for storage; The obtained comprehensive coefficient of the landslide point is marked as the monitoring comprehensive coefficient, the comprehensive coefficient stored in the cloud database is marked as the cloud comprehensive coefficient, the monitoring comprehensive coefficient and the cloud comprehensive coefficient are compared, and the landslide record corresponding to the cloud comprehensive coefficient that is closest in value to the monitoring comprehensive coefficient is marked as a similar landslide record.

[0011] Furthermore, the process of the information feedback module providing landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records includes: Obtain the landslide range in similar landslide records, mark the landslide range as the predicted landslide range of the landslide point, take the landslide point as a benchmark, obtain all houses within the predicted landslide range of the landslide point according to the stored house information, generate corresponding landslide warning information, and feed back the generated landslide warning information to the mobile terminals of the corresponding residents.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects terrain images of landslide points regularly, obtains corresponding terrain coefficients according to the similarity between terrain images in adjacent collection cycles, monitors groundwater level and rainfall at landslide points respectively, and then obtains corresponding water level coefficient and rainfall coefficient, and obtains the comprehensive coefficient of landslide points on this basis, obtains corresponding similar landslide records in cloud database according to the comprehensive coefficient, and issues landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records; the comprehensive coefficient obtained according to the terrain coefficient, water level coefficient and rainfall coefficient can better ensure that the comprehensive coefficient obtained is consistent with the monitored landslide points, and can improve the representativeness of the comprehensive coefficient. By constructing a cloud database, it is beneficial to analogize potential landslide points according to previous landslide records, and can approximately obtain the predicted landslide range of the monitored landslide points, and timely issue warnings to all residents within the predicted landslide range. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0014] like Figure 1 As shown, a geological environment monitoring system based on cloud-edge coordination includes a main control center, and the main control center is communicatively connected with a region division module, a resident collection module, a first monitoring module, a second monitoring module, a landslide comparison module, and an information feedback module; The area division module is used to divide the monitoring area into several monitoring sub-areas, and mark the existing landslide points and potential landslide points in each monitoring sub-area; The resident collection module is used to collect and store the identity information and housing information of the residents in each monitoring sub-area; The first monitoring module is used to regularly collect terrain images of existing landslide points and potential landslide points, and obtain corresponding terrain coefficients according to the collected terrain images; The second monitoring module is used to monitor the groundwater level and rainfall of existing landslide points and potential landslide points respectively, and obtain the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively; The landslide comparison module is used to obtain the corresponding comprehensive coefficient according to the terrain coefficient, the water level coefficient and the rainfall coefficient, and is also used to construct a cloud database, and obtain the corresponding similar landslide records in the cloud database according to the comprehensive coefficient; The information feedback module is used to issue landslide warnings to residents whose houses are within the landslide range according to the landslide range in similar landslide records.

[0015] It should be further explained that, in the specific implementation process, the region division module divides the monitoring area into several monitoring sub-areas, and the process of marking the existing landslide points and potential landslide points in each monitoring sub-area includes: Obtain a rectangular area that is large enough to accommodate the entire monitoring range, wherein the four sides of the rectangular area are distributed in the east-west or north-south direction respectively, and mark the obtained rectangular area as the monitoring area. The monitoring area is divided into a number of rectangular sub-areas by an equal division method. At this time, the rectangular sub-areas divided are the results of the first division, and are named from west to east and from north to south according to their distribution, such as A11, A12, A13, ..., A21, A22, ..., A31 ...; Taking the rectangular sub-region A11 as an example, the rectangular sub-region is divided into several rectangular sub-regions by an equal division method. The rectangular sub-regions divided at this time are the results of the second division and are named from west to east and from north to south according to their distribution, such as A11B11, A11B12, ..., A11B21, ...; In practical applications, the number of divisions of the monitoring area can be determined according to the actual area of ​​the monitoring area, such as dividing the rectangular sub-area A11B11 for the third time to obtain corresponding rectangular sub-areas A11B11C11, ..., and marking the rectangular sub-area obtained after the last division as the monitoring sub-area; The locations where landslides have occurred in each monitoring sub-area are marked as existing landslide points, the average of the slopes of all existing landslide points is obtained and marked as the average landslide point slope, and the locations in each monitoring sub-area where the slope is greater than or equal to the average landslide point slope are marked as potential landslide points. Both the existing landslide points and the potential landslide points are landslide points.

[0016] It should be further explained that, in the specific implementation process, the process of the resident collection module collecting and storing the identity information and housing information of the residents in each monitoring sub-area includes: A registration unit and a resident database are set up, and the identity information of the resident is input into the registration unit. The identity information includes but is not limited to name, gender, age, occupation, mobile phone number, ID number, and ID photo. The input identity information is reviewed by the main control center, and a corresponding registration verification code is generated after the review is passed. The generated registration verification code is sent to the mobile terminal corresponding to the mobile phone number of the resident, and the obtained registration verification code is input into the registration unit for verification. After the verification is passed, the registration is completed, and the obtained identity information is uploaded to the resident database for storage; A login unit and an input unit are set up. In the subsequent login process, the residents who have completed the registration input the corresponding mobile phone number into the login unit. The input mobile phone number is reviewed by the main control center, and a corresponding login verification code is generated after the review is passed. The generated login verification code is sent to the mobile terminal corresponding to the mobile phone number, and the obtained login verification code is input into the login unit for verification. After the verification is passed, the login is completed. After completing the registration and login, the residents enter their own housing information through the input unit. The housing information refers to the geographical location of the residents' houses in the monitoring area. The entered housing information is reviewed by the main control center. After the review is passed, the entered housing information is uploaded to the resident database for storage, and the resident's identity information and housing information are bound.

[0017] It should be further explained that, in the specific implementation process, the first monitoring module regularly collects terrain images of existing landslide points and potential landslide points, and the process of obtaining the corresponding terrain coefficients according to the collected terrain images includes: Setting a collection cycle and an image collection unit, when a collection cycle is reached, collecting and numbering the terrain images of the existing landslide points and potential landslide points in each monitoring sub-area through the image collection unit; Taking any landslide point as an example, an image processing unit is set to obtain a rear terrain image of the landslide point in the current acquisition cycle and a front terrain image in the previous acquisition cycle, and the image processing unit uses the MSE algorithm to obtain the similarity between the rear terrain image and the front terrain image, and marks it as the similarity of the current acquisition cycle; The same method is used to obtain the similarity of each acquisition cycle, and it is numbered in the order of acquisition, recorded as i, i = 1, 2, ..., n, and the obtained similarity is marked as S i , the obtained similarity is evaluated for change to obtain the corresponding similarity change coefficient, and the obtained similarity change coefficient is marked as C i ;

[0018] Set a similarity change threshold C0, compare the obtained similarity change coefficient with the set similarity change threshold, and classify the obtained similarity change coefficient as normal change or abnormal change according to the comparison result. If C i ≤C0, it is marked as a normal change and no other operation is performed on it. i >C0, it is marked as an abnormal change, and the similarity corresponding to the similarity change coefficient marked as an abnormal change is marked as the terrain coefficient of the landslide point.

[0019] It should be further explained that, in the specific implementation process, the second monitoring module monitors the groundwater level and rainfall of the existing landslide point and the potential landslide point respectively, and the process of obtaining the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively includes: A water level monitoring unit and a rainfall monitoring unit are respectively set at the existing landslide point and the potential landslide point. When a collection cycle is reached, the groundwater level of the landslide point is obtained through the water level monitoring unit, and the rainfall of the landslide point is obtained through the rainfall monitoring unit. Taking the acquisition process of the water level coefficient as an example, the groundwater levels obtained at the landslide point are numbered in the order of acquisition, recorded as j, j = 1, 2, ..., m, and the obtained groundwater levels are marked as D j , evaluate the change of the obtained groundwater level to obtain the corresponding water level change coefficient, and mark the obtained water level change coefficient as B j ;

[0020] Set the water level change threshold B0, compare the obtained water level change coefficient with the set water level change threshold, and classify the obtained water level change coefficient into normal change or abnormal change according to the comparison result. j ≤B0, it is marked as a normal change and no other operation is performed on it. j > B0, it is marked as an abnormal change, and the groundwater level corresponding to the water level change coefficient marked as an abnormal change is marked as the water level coefficient of the landslide point; By analogy, the same method is adopted to obtain the corresponding rainfall variation coefficient according to the monitored rainfall, and then the rainfall coefficient of the landslide point is obtained according to the rainfall variation coefficient.

[0021] It should be further explained that, in the specific implementation process, the process of the landslide comparison module obtaining the corresponding comprehensive coefficient according to the terrain coefficient, the water level coefficient and the rainfall coefficient includes: The corresponding landslide weights are set for the terrain coefficient, water level coefficient, and rainfall coefficient obtained at the landslide point in the same acquisition period, and the terrain coefficient, water level coefficient, and rainfall coefficient obtained are marked as R a , R b , R c , and their corresponding landslide weights are marked as Q a , Q b , Q c , obtain the comprehensive coefficient of the landslide point and mark it as R 总 ;

[0022] It should be further explained that, in the specific implementation process, the landslide comparison module constructs a cloud database, and the process of obtaining the corresponding similar landslide records in the cloud database according to the comprehensive coefficient includes: Generate corresponding landslide records according to the landslide events that have occurred in each monitoring sub-area, wherein the landslide records include but are not limited to landslide points, landslide slopes, landslide ranges, terrain coefficients, water level coefficients, rainfall coefficients, comprehensive coefficients, etc., build a cloud database for the monitoring area in the cloud, and upload the obtained landslide records to the cloud database for storage; The obtained comprehensive coefficient of the landslide point is marked as the monitoring comprehensive coefficient, the comprehensive coefficient stored in the cloud database is marked as the cloud comprehensive coefficient, the monitoring comprehensive coefficient and the cloud comprehensive coefficient are compared, and the landslide record corresponding to the cloud comprehensive coefficient that is closest in value to the monitoring comprehensive coefficient is marked as a similar landslide record.

[0023] It should be further explained that, in the specific implementation process, the process in which the information feedback module issues a landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records includes: Obtain the landslide range in similar landslide records, mark the landslide range as the predicted landslide range of the landslide point, take the landslide point as a benchmark, obtain all houses within the predicted landslide range of the landslide point according to the stored house information, generate corresponding landslide warning information, and feed back the generated landslide warning information to the mobile terminals of the corresponding residents.

[0024] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A geological environment monitoring system based on cloud-edge coordination, including a main control center, characterized in that: The main control center is communicatively connected with a regional division module, a resident collection module, a first monitoring module, a second monitoring module, a landslide comparison module, and an information feedback module; The area division module is used to divide the monitoring area into several monitoring sub-areas, and mark the existing landslide points and potential landslide points in each monitoring sub-area; The resident collection module is used to collect and store the identity information and housing information of the residents in each monitoring sub-area; The first monitoring module is used to regularly collect terrain images of existing landslide points and potential landslide points, and obtain corresponding terrain coefficients according to the collected terrain images; The second monitoring module is used to monitor the groundwater level and rainfall of existing landslide points and potential landslide points respectively, and obtain the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively; The landslide comparison module is used to obtain the corresponding comprehensive coefficient according to the terrain coefficient, the water level coefficient and the rainfall coefficient, and is also used to construct a cloud database, and obtain the corresponding similar landslide records in the cloud database according to the comprehensive coefficient; The information feedback module is used to provide landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records.

2. A geological environment monitoring system based on cloud-edge coordination according to claim 1, characterized in that: The region division module divides the monitoring region into several monitoring sub-regions, and the process of marking the existing landslide points and potential landslide points in each monitoring sub-region includes: Obtain a monitoring area, divide the monitoring area into a plurality of rectangular sub-areas, determine the number of divisions of the monitoring area according to the actual area of ​​the monitoring area, and mark the rectangular sub-area obtained after the last division as the monitoring sub-area; The locations where landslides have occurred in each monitoring sub-area are marked as existing landslide points, and potential landslide points are obtained according to the average landslide point slopes of the existing landslide points. The existing landslide points and potential landslide points are both landslide points.

3. A geological environment monitoring system based on cloud-edge coordination according to claim 2, characterized in that: The process of the resident collection module collecting and storing the identity information and housing information of the residents in each monitoring sub-area includes: Setting a registration unit and a resident database, inputting the identity information of the resident into the registration unit to complete the registration, and uploading the obtained identity information to the resident database for storage; A login unit and an input unit are provided. Residents who have completed registration complete the login through the login unit, input their own house information through the input unit, and upload the input house information to the resident database for storage.

4. A geological environment monitoring system based on cloud-edge coordination according to claim 3, characterized in that: The first monitoring module regularly collects terrain images of existing landslide points and potential landslide points, and the process of obtaining corresponding terrain coefficients according to the collected terrain images includes: Setting a collection cycle and an image collection unit, when a collection cycle is reached, collecting terrain images of landslide points in each monitoring sub-area through the image collection unit; An image processing unit is provided, through which similarities of each acquisition cycle are obtained according to the acquired terrain images, and a change evaluation is performed on the obtained similarities to obtain corresponding similarity change coefficients; A similarity change threshold is set, and the similarity change coefficient is compared with the similarity change threshold. According to the comparison result, the similarity change coefficient is divided into normal change or abnormal change, and the similarity corresponding to the abnormal similarity change coefficient is marked as the terrain coefficient of the landslide point.

5. A geological environment monitoring system based on cloud-edge coordination according to claim 4, characterized in that: The second monitoring module monitors the groundwater level and rainfall of the existing landslide point and the potential landslide point respectively, and the process of obtaining the corresponding water level coefficient and rainfall coefficient according to the monitored groundwater level and rainfall respectively includes: A water level monitoring unit and a rainfall monitoring unit are provided, and the underground water level at the landslide point is obtained by the water level monitoring unit, and the rainfall at the landslide point is obtained by the rainfall monitoring unit; The water level variation coefficient and the rainfall variation coefficient are obtained respectively, the water level variation threshold and the rainfall variation threshold are set, the water level variation coefficient and the rainfall variation coefficient are compared with the water level variation threshold and the rainfall variation threshold respectively, and the water level coefficient and the rainfall coefficient are obtained according to the comparison results.

6. A geological environment monitoring system based on cloud-edge coordination according to claim 5, characterized in that: The process of obtaining the corresponding comprehensive coefficient of the landslide comparison module according to the terrain coefficient, the water level coefficient and the rainfall coefficient includes: The landslide weights are set for the terrain coefficient, water level coefficient and rainfall coefficient obtained at the landslide point in the same acquisition period, and the comprehensive coefficient of the landslide point is obtained based on this.

7. A geological environment monitoring system based on cloud-edge coordination according to claim 6, characterized in that: The landslide comparison module constructs a cloud database, and the process of obtaining the corresponding similar landslide records in the cloud database according to the comprehensive coefficient includes: Generate landslide records based on landslide events in each monitoring sub-area, build a cloud database of the monitoring area in the cloud, and upload the obtained landslide records to the cloud database for storage; The monitoring comprehensive coefficient and the cloud comprehensive coefficient are obtained, the monitoring comprehensive coefficient and the cloud comprehensive coefficient are compared, and similar landslide records are obtained according to the comparison results.

8. The geological environment monitoring system based on cloud-edge coordination according to claim 7 is characterized in that: The process of the information feedback module providing landslide warning to residents whose houses are within the landslide range according to the landslide range in similar landslide records includes: The predicted landslide range is obtained based on similar landslide records, and the houses within the predicted landslide range are obtained based on house information, and the corresponding landslide warning information is generated and fed back.

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