Geological disaster monitoring and early warning information processing method and system

Abstract

The invention discloses a geological disaster monitoring and early warning information processing method and system, and the method comprises the steps: firstly obtaining an accumulated deformation quantity at a certain moment A0, then determining a displacement early warning level according to the accumulated deformation quantity, judging whether a threshold value of a corresponding displacement early warning level is reached, if the threshold value is reached, judging whether a short message has been sent at the corresponding early warning level, and if the short message has been sent, carrying out the early warning. If the short message is sent within the preset time period, not sending the short message, obtaining the accumulated deformation quantity of the next moment, continuing to judge the next moment, and if the short message is not sent within the preset time period, determining the early warning level and sending the short message according to the highest early warning level; according to the geological disaster monitoring and early warning information processing method and system provided by the invention, short message signals are sent for monitoring accumulated deformation quantity and deformation rate, and geological disaster monitoring short messages are determined to be sent according to continuous change of accumulated displacement in a preset time period; and the phenomenon that real useful effective information is submerged due to the generation of a large number of short message signals is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster monitoring, and in particular to a method and system for processing geological disaster monitoring and early warning information. Background Art

[0002] The purpose of geological disaster monitoring is to accurately and timely grasp the dynamic changes of geological disasters so as to take appropriate measures to reduce and prevent the losses caused by disasters. Geological disasters may include earthquakes, debris flows, landslides, collapses, ground subsidence, etc., which pose a serious threat to human life and property safety.

[0003] The core goal of geological disaster monitoring and early warning is to prevent the expansion of disasters. Generally, they can only be monitored after the geology in a designated area has changed. In the field of geological disasters, in addition to landslides, there are many other types of disasters, such as earthquakes, mudslides, collapses, ground subsidence, etc. These disasters are also extremely destructive and dangerous.

[0004] Currently, water damage monitoring and early warning mostly rely on manual inspections and manual warnings, resulting in inaccurate and in-time monitoring and early warning. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a geological disaster monitoring and early warning information processing method and system, which utilizes the classification and grading of monitoring information data to determine the sending of text messages, thereby improving the effectiveness of text message sending.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The method for processing geological disaster monitoring and early warning information provided by the present invention comprises the following steps:

[0008] S1: Get the accumulated deformation of A0 at a certain moment;

[0009] S2: Determine the displacement warning level according to the accumulated deformation amount, and judge whether the threshold of the corresponding displacement warning level is reached. If the threshold is reached, judge whether the corresponding warning level has sent a text message. If the text message has been sent within the preset time period, do not send the text message, obtain the accumulated deformation amount at the next moment, and continue to judge the next moment. If the text message has not been sent within the preset time period, determine the warning level and send a text message according to the highest warning level.

[0010] S3: If the threshold is not reached, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the judgment of the A0+1 moment is continued;

[0011] S4: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered.

[0012] Further, the method further comprises the following steps:

[0013] S21: Determine the sub-level corresponding to the warning level, and judge whether to send a text message within the sub-level. If the text message has been sent for the corresponding sub-level, do not send the text message, and continue to obtain the accumulated deformation at the next moment; if the text message has not been sent, determine the warning level and send a text message according to the highest warning level.

[0014] Further, the sub-levels are formed by dividing the corresponding warning level into N warning sub-levels; divided into different sub-levels according to the importance of the warning degree, including blue warning, yellow warning, orange warning, and red warning; divided into a, b, c, and d in sequence according to the value of the accumulated deformation amount; wherein the digital range (a, b) represents a blue warning; the digital range (b, c) represents a yellow warning; the digital range (c, d) represents an orange warning; the digital range (above d) represents a red warning;

[0015] Furthermore, each sub-level can be further divided into Q quantiles, and the quantile of each sub-level can be different and determined according to specific circumstances;

[0016] The blue warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (ba) / Q, and the value of the nth quantile is a+n(ba) / Q;

[0017] The yellow warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (cb) / Q, and the value of the nth quantile is b+n(cb) / Q;

[0018] The orange warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (dc) / Q, and the value of the nth quantile is c+n(dc) / Q;

[0019] The red warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (dc) / Q or 0.1d, and the value of the nth quantile is d+n(dc) / Q or d+0.1d;

[0020] Furthermore, the Q quantile adopts 10 quantiles or 5 quantiles.

[0021] Further, the method further comprises the following steps:

[0022] S5: Obtain the deformation rate of A0 at a certain moment;

[0023] S6: Determine the deformation rate warning level according to the deformation rate, and determine whether the threshold of the corresponding deformation rate warning level is reached, determine the number of times A that the deformation rate reaches the threshold within a preset time range; determine whether the number of times A that the rate continuously reaches the threshold is greater than the allowed number M, if it is greater than or equal to the allowed number, determine the warning level and send a text message according to the highest warning level;

[0024] S7: If it is less than the allowed number, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the A0+1 moment is determined;

[0025] S8: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered.

[0026] Furthermore, the short message includes a device health status short message; the device health status short message is used to record the device's own status information; the device's own status information is determined in the following manner:

[0027] Get the detection information sent by the device;

[0028] According to the detection time period set by the device, determine whether the detection information sent by the device is complete. If not, determine that the device is offline, and send device offline information according to the set time until the detection information is complete; if yes, continue to loop to obtain the detection information sent by the device.

[0029] Further, the text messages include device operation status text messages;

[0030] The device operation status SMS is used to obtain statistical information of the device in different time periods, including statistical early warning status information of all devices by week, month and season, and obtain information in different states.

[0031] Further, the text messages include monitoring and early warning text messages of a single device;

[0032] The monitoring and early warning SMS of the single device is used to send the abnormal information detected by each device in different time periods in real time.

[0033] The geological disaster monitoring and early warning information processing system provided by the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The above method is implemented when the processor executes the program.

[0034] The beneficial effects of the present invention are:

[0035] The present invention provides a method and system for processing geological disaster monitoring and early warning information. The method sends short message signals for cumulative deformation and deformation rate monitoring respectively, and determines the sending of geological disaster monitoring short messages by the continuous change of cumulative displacement within a preset time period, thereby avoiding the phenomenon of drowning out truly useful and effective information due to the generation of a large number of short message signals.

[0036] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to make the purpose, technical solution and beneficial effects of the present invention clearer, the present invention provides the following drawings for explanation.

[0038] Figure 1 This is a flow chart of the method for processing information on cumulative deformation monitoring and early warning of geological disasters.

[0039] Figure 2 Schematic diagram of the process of sending text messages to ten sub-levels of geological disaster monitoring and early warning.

[0040] Figure 3 Schematic diagram of the text message sending process for the fifth quintile of geological disaster monitoring and early warning sub-levels.

[0041] Figure 4 This is a flow chart of the geological disaster deformation rate monitoring and early warning information processing method.

[0042] Figure 5 This is an example diagram for monitoring and sending early warning text messages. DETAILED DESCRIPTION

[0043] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0044] Example 1

[0045] like Figure 1 As shown, a geological disaster monitoring and early warning information processing method and system provided in this embodiment includes the following steps:

[0046] S1: Get the cumulative deformation of A0 at a certain moment, the unit of the cumulative deformation is millimeter mm;

[0047] S2: Determine the displacement warning level according to the accumulated deformation amount, and judge whether the threshold of the corresponding displacement warning level is reached. If the threshold is reached, judge whether the corresponding warning level has sent a text message. If the text message has been sent within the preset time period, do not send the text message, obtain the accumulated deformation amount at the next moment, and continue to judge the next moment. If the text message has not been sent within the preset time period, determine the warning level and send a text message according to the highest warning level. In this embodiment, the different warning levels are divided into N areas, and different thresholds are set for different areas.

[0048] The preset time in this embodiment is generally set to 0.5 to 1 hour; the threshold setting can be a multi-level fixed value, and the specific value can be taken in proportion according to the threshold value of possible damage of the monitored object. Assuming that the cumulative deformation of a monitored object when it is close to damage is 1000mm, this value is taken as the maximum deformation Dmax, and the threshold can be taken in proportion to Dmax, such as 1%, 5%, 10%, 20%, etc.

[0049] S3: If the threshold is not reached, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the judgment of the A0+1 moment is continued;

[0050] S4: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered;

[0051] In this embodiment, when the short message has been sent in step S2, the following steps are also included:

[0052] S21: Determine the sub-level of the corresponding warning level, and judge whether to send a text message in the sub-level. If the corresponding sub-level has sent a text message, do not send the text message, and continue to obtain the accumulated deformation amount at the next moment; if the text message has not been sent, determine the warning level and send a text message according to the highest warning level; the sub-level in this embodiment is formed by dividing the corresponding warning level into N warning sub-levels;

[0053] The sublevels in this embodiment can be set to three or four sublevels, which are divided into different sublevels according to the importance of the warning degree, including blue warning, yellow warning, orange warning, and red warning; they are divided into a, b, c, and d in sequence according to the value of the accumulated deformation; among them, the digital range (a, b) represents a blue warning; the digital range (b, c) represents a yellow warning; the digital range (c, d) represents an orange warning; the digital range (above d) represents a red warning; the importance of the degree increases in sequence, red represents the largest displacement, the geological displacement is large, and the disaster impact may be large;

[0054] Among them, each sub-level can be further divided into Q quantiles, and the quantiles of each sub-level can be different and determined according to specific circumstances;

[0055] The blue warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (ba) / Q, and the value of the nth quantile is a+n(ba) / Q;

[0056] The yellow warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (cb) / Q, and the value of the nth quantile is b+n(cb) / Q;

[0057] The orange warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (dc) / Q, and the value of the nth quantile is c+n(dc) / Q;

[0058] The red warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (dc) / Q or 0.1d, and the value of the nth quantile is d+n(dc) / Q or d+0.1d;

[0059] The Q quantile in this embodiment can be 10 quantiles or 5 quantiles, or can be determined according to actual conditions; the blue warning, yellow warning, orange warning, and red warning sub-levels can also be divided into different numbers of quantiles.

[0060] like Figure 2 As shown, each sub-level can be further divided into 10 quantiles, and the quantiles of each sub-level can be different and determined according to specific circumstances; the blue warning area can be divided into 10 quantiles, that is, it can be equally divided into 10 areas, each area is (ba) / 10, and the value of the nth quantile is a+n(ba) / 10; the yellow warning area can be divided into 10 quantiles, that is, it can be equally divided into 10 areas, each area is (cb) / 10, and the value of the nth quantile is b+n(cb) / 10; the orange warning area can be divided into 10 quantiles, that is, it can be equally divided into 10 areas, each area is (dc) / 10, and the value of the nth quantile is c+n(dc) / 10; the red warning area can be divided into 10 quantiles, that is, it can be equally divided into 10 areas, each area is (dc) / 10 or 0.1d, and the value of the nth quantile is d+n(dc) / 10 or d+0.1d;

[0061] like Figure 3As shown, each sub-level can be further divided into 5 quantiles, and the quantiles of each sub-level can be different and determined according to specific circumstances; the blue warning area can be divided into 5 quantiles, that is, it can be equally divided into 5 areas, each area is (ba) / 5, and the value of the nth quantile is a+n(ba) / 5; the yellow warning area can be divided into 5 quantiles, that is, it can be equally divided into 5 areas, each area is (cb) / 5, and the value of the nth quantile is b+n(cb) / 5; the orange warning area can be divided into 5 quantiles, that is, it can be equally divided into 5 areas, each area is (dc) / 5, and the value of the nth quantile is c+n(dc) / 5; the red warning area can be divided into 5 quantiles, that is, it can be equally divided into 5 areas, each area is (dc) / 5 or 0.1d, and the value of the nth quantile is d+n(dc) / 5 or d+0.1d;

[0062] The sub-levels in this embodiment can be determined according to actual conditions, and can be divided into 4 levels and 10 quantiles, 3 levels and 10 quantiles, 4 levels and 5 quantiles, 3 levels and 5 quantiles, etc. The details will not be repeated here.

[0063] The percentile value and the threshold interval in this embodiment are determined according to the accuracy of the sensor monitoring data. The percentile scale value must be greater than the sensor monitoring accuracy, otherwise the warning will be messed up. The percentile value is related to the rate, and the rate can also be used directly as the percentile value. The next page calculates the percentile value from the rate. Assuming that the monitoring accuracy of the Beidou monitoring device is 2mm, then the deformation fluctuation within 2mm is more likely to be caused by the monitoring error. If the deformation fluctuation exceeds 2mm, the possibility of data fluctuation caused by deformation increases. The fluctuation exceeds 2 times or more of the monitoring accuracy and data credibility, and the conditions for sending an early warning are met; if the fluctuation exceeds 3 times or more, an early warning text message can be sent. Assuming that an early warning is issued when the fluctuation exceeds 2 times, the sub-level is divided into when the sub-level data range exceeds 2 times the monitoring accuracy. For example, it must be at least 4mm, so that the sub-level division is effective.

[0064] The embodiment provides for the cumulative deformation monitoring and sending signals. Since the continuous change of the cumulative displacement may cause the occurrence of geological disasters, it is necessary to send monitoring signals. However, it is also possible that the cumulative displacement has changed, but after the change, it remains in a stable state, which may not represent the occurrence of geological disasters. At this time, the continuous sending of monitoring signals will generate a large number of junk signals, thereby drowning out the truly useful effective information. Therefore, when determining whether the cumulative deformation information needs to be sent, it is necessary to consider whether the displacement change continues within a certain period of time. If the displacement change continues, it means that the cumulative deformation is increasing during this period of time, which is likely to cause geological disasters. It is necessary to send cumulative deformation monitoring signals for geological disaster warning; however, it is necessary to set an appropriate threshold for the displacement warning level. If the threshold is too large, it is easy to miss the monitoring signal that may cause geological disasters. If the threshold is too small, it is easy to cause a large number of monitoring signals, forming a large number of junk signals, drowning out the effective monitoring signals; after comprehensive consideration, it is necessary to determine two parameters, namely, the continuous monitoring time and the warning threshold, in order to determine whether to send the monitoring signal;

[0065] In this embodiment, the accumulated deformation is in the red warning interval, indicating that the displacement change is large, which is a serious geological disaster. Therefore, as long as such monitoring signals are detected, it is necessary to issue a warning signal in time, and M can be temporarily set to 1, where M represents the allowed number of times; if the accumulated displacement is in the orange warning interval, M is temporarily set to 2; if the accumulated displacement is in the yellow and below warning intervals, M is temporarily set to 3. In this way, the severity of the disaster can be warned in time, and the number of monitoring signals sent can be reduced;

[0066] The method for processing geological disaster monitoring and early warning information provided in this embodiment also includes the following steps:

[0067] S5: Obtain the deformation rate of A0 at a certain moment, where the unit of the deformation rate is mm / h, mm / d;

[0068] S6: Determine the deformation rate warning level according to the deformation rate, and determine whether the threshold of the corresponding deformation rate warning level is reached, determine the number of times A that the deformation rate reaches the threshold within a preset time range; determine whether the number of times A that the rate continuously reaches the threshold is greater than the allowed number M, if it is greater than or equal to the allowed number, determine the warning level and send a text message according to the highest warning level;

[0069] S7: If it is less than the allowed number, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the A0+1 moment is determined;

[0070] S8: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered;

[0071] In this embodiment, the judgment criteria for sending a text message are performed in the following manner: first, whether the deformation rate reaches a threshold value is judged, second, the warning level is judged, and finally, the number of times A reaching the threshold value is judged within the time interval x;

[0072] In this embodiment, the different warning levels are divided into N areas, and different thresholds are set for different areas;

[0073] To avoid accidental factors, the text message is sent only when the deformation rate exceeds the threshold for N times cumulatively.

[0074] The warning sublevel in this embodiment includes a rate sublevel.

[0075] N is the step size, which is an integer of the sub-level. It can be infinite, or 100 / 50 / 10 / 5 / 1, etc.

[0076] If N is a finite number, then after N steps, an early warning will be given when the accumulated data decreases.

[0077] In this embodiment, the step length is the time for memorizing the sent text messages. N is infinite, and the memory is the strongest, indicating that an alarm will be issued only when it increases, and no alarm will be issued when it decreases (it will also be issued if it decreases). The step length is greater than 1, indicating that after N steps, if it is monitored that the current cumulative displacement is not in a sub-interval with N steps, an alarm will be issued.

[0078] In this embodiment, the level of the cumulative displacement and the allowed value M are pushed. Under the current warning level of the cumulative displacement, the relationship between the number of times A that the rate reaches the threshold continuously and the allowed number M is determined. The highest warning level is determined and a text message is sent. A warning text message of the corresponding level at time A0 is sent once.

[0079] This embodiment provides two monitoring parameters for early warning, which can be based on rate as the main factor and cumulative displacement as the auxiliary factor, or can be specifically determined according to actual conditions.

[0080] The text messages sent in this embodiment include three types, namely, device health status text messages, device operation status text messages, and monitoring and early warning of a single device;

[0081] The device health status SMS is used to record the device's own status information;

[0082] The device's own status information is determined in the following manner:

[0083] Get the detection information sent by the device;

[0084] According to the detection time period set by the device, determine whether the detection information sent by the device is complete. If not, determine that the device is offline, and send device offline information according to the set time until the detection information is complete; if yes, continue to loop to obtain the detection information sent by the device;

[0085] In this embodiment, as long as it is determined that a device is offline, a text message is sent every day; or a time threshold or a white list is set according to the specific situation to determine the sending method of the detection information of the offline device.

[0086] The detection of the device health status in this embodiment can be set to judge by counting the amount of data in the past time period at a fixed time point every day. When it is judged that the device is in an offline state, a disconnection SMS is sent immediately. If it is not resolved, one SMS is sent every day; if there is no disconnection, it is sent regularly.

[0087] At the same time, equipment health status detection can be carried out by classification and grading, according to the importance of the monitoring equipment, the importance of the monitored object, and the importance of the monitoring indicators; the importance of data sent by different devices is different, and the importance of the monitoring indicators is determined according to the importance of the monitored object.

[0088] The amount of information that should be sent is determined based on the settings of the detection device, and whether the device is in a healthy state is determined based on the amount of data received.

[0089] At the same time, the integrity of each data is detected and the number of bytes of a single data is calculated to determine whether the device is in a healthy state.

[0090] The status of the equipment can be evaluated from the above multiple dimensions and scored. According to the score, a warning SMS message of the equipment status is sent.

[0091] The device of this embodiment can be determined according to importance. For example, a device normally receives 48 data per day. If the received data accounts for 90% of the total data volume, it means that the device status is excellent; if it is 60-70%, it means that the device status is good;

[0092] In this embodiment, the device operation status text messages can be counted by time period, such as counting the warning status information of all devices by week, month, and quarter, to obtain information in different states, such as the number of high-risk devices, the number of medium-risk devices, the number of low-risk devices, etc.

[0093] like Figure 5 As shown, Figure 5 This is an example of SMS messages about equipment operation status based on different cycles, such as weekly, monthly, and seasonal:

[0094] Among them, the weekly SMS example:

[0095] Dear [relevant person]:

[0096] The equipment operation status statistics this week are as follows:

[0097] High-risk equipment: [X] sets. These devices have serious deviations from normal ranges in terms of monitoring indicators such as importance, rate, and cumulative displacement, which may have a significant impact on the threatened objects and require immediate measures to inspect and repair them.

[0098] Medium-risk equipment: [Y] sets. Some monitoring indicators of the equipment, such as [specific indicators], show a certain degree of abnormality and are in a medium-risk state. It is recommended to arrange inspection and maintenance work in the near future.

[0099] Low-risk equipment: [Z] sets. The overall operation is relatively stable, but still requires continuous attention.

[0100] By classifying and grading the operating status of equipment, more targeted difference thresholds are set, so that the risk status of equipment can be judged more accurately.

[0101] The monthly SMS example is as follows:

[0102] Dear [relevant person]:

[0103] Equipment operation status report for this month:

[0104] Examples of high-risk devices include:

[0105] Quantity: [A] sets. These devices are judged as high risk based on the importance of the threatened object and a comprehensive assessment of monitoring indicators (such as importance, rate, cumulative displacement, etc.). For example, [list the specific situation of a high-risk device, such as the abnormally high rate of a key production link device, the cumulative displacement exceeds the safety range, and poses a serious threat to important production tasks].

[0106] Examples of medium risk devices include:

[0107] Quantity: [B] sets. Some of the equipment is in a medium-risk state due to fluctuations in important monitoring indicators, such as [specific indicator fluctuations]. Maintenance and adjustment are required in a timely manner according to production arrangements.

[0108] Examples of low-risk devices include:

[0109] Quantity: [C] sets. Although the overall risk is low, we are still monitoring to ensure the long-term stable operation of the equipment.

[0110] Through this classification and grading method, we can accurately judge equipment risks based on different thresholds and provide more effective decision-making basis for equipment management.

[0111] Among them, the seasonal SMS examples are as follows:

[0112] Dear [relevant person]:

[0113] Summary of equipment operation status this quarter:

[0114] High-risk equipment: [M] sets. After a quarter of monitoring, these devices showed high-risk characteristics based on the importance of the threatened objects and the evaluation of important monitoring indicators (importance, rate, cumulative displacement, etc.). For example, [Examples of high-risk equipment, such as the cumulative displacement of some core equipment continues to increase, the rate is unstable, and the stable operation of the entire system is seriously affected].

[0115] Medium-risk equipment: [N] sets. These devices have some intermittent abnormal indicators, which may be related to equipment aging or external environmental factors. For example, [specify the problems of medium-risk equipment], which require regular attention and corresponding maintenance plans.

[0116] Low-risk equipment: [P] sets. Although in a low-risk state, we still conduct regular monitoring based on the set targeted thresholds to ensure the reliability of equipment operation.

[0117] This type of classified and graded equipment risk assessment helps to manage and maintain equipment in a more targeted manner, ensuring smooth production or operations.

[0118] In this embodiment, the monitoring and early warning of a single device can be implemented by sending text messages in real time.

[0119] Suppose you check the data every hour and decide whether to send a text message. If there is any abnormality, send a text message immediately.

[0120] If multiple devices reach the threshold at the same time, the SMS messages are sent together.

[0121] like Figure 5 As shown, the following is an example of SMS sending based on a specific address disaster detection system. In the embodiment, XX is used to replace the name of the system detection location:

[0122] [Status of pumped storage equipment for geological disasters] As of 9:00 on April 5, 2023, XX pumped storage has deployed 38 sets of geological disaster monitoring equipment, 36 sets online and 2 sets offline (1 Beidou and 1 crack meter), with an overall online rate of 94.74%, and the longest offline period is 7 days. Among them, XXX Beidou 02 and other equipment are offline, please check and restore as soon as possible.

[0123] [Status of pumped storage equipment for geological disasters] As of 9:00 on April 5, 2023, XX pumped storage has deployed a total of 38 sets of geological disaster monitoring equipment, 38 sets are online and 0 sets are offline. The overall online rate is 100%, and the equipment is in good condition.

[0124] Sending frequency: If any device is offline, it will be sent every day; if all devices are online, it will be sent every Monday at 9 am.

[0125] [Weekly report on geological disaster monitoring at pumped storage tanks] As of April 24, 2023, XX pumped storage tank has deployed 23 geological disaster monitoring devices, triggering 0 red warnings, 0 orange warnings, and 0 yellow warnings. There are 0 points with significant deformation compared with the previous period. For details, please click the link to view the specific website.

[0126] Sending frequency: every Monday at 9 am.

[0127] [Pumped-storage reservoir geological disaster monitoring and early warning] Blue warning - XX pumped-storage reservoir, XXXGNSS01 monitoring point blue warning: cumulative deformation 35mm, deformation rate 15mm / d, it is recommended to strengthen monitoring and prevention [2022-09-15 15:27].

[0128] [Pumped-storage power station geological disaster warning] Yellow warning - XX pumped storage, XXXGNSS01 monitoring point yellow warning: cumulative deformation 35mm, deformation rate 15mm / d, monitoring and prevention need to be strengthened [2022-09-15 15:27].

[0129] [Pumped-storage reservoir geological disaster warning] Orange warning - XX pumped-storage reservoir, XXXGNSS01 monitoring point orange warning: cumulative deformation 35mm, deformation rate 15mm / d, there is a high possibility of deformation and damage in the short term, please evacuate the danger zone in an orderly manner and make disaster prevention preparations [2022-09-15 15:27].

[0130] [Pumped-storage reservoir geological disaster warning] Red alert - XX pumped-storage reservoir, XXXGNSS01 monitoring point red alert: cumulative deformation 35mm, deformation rate 15mm / d, deformation and damage are very likely to occur in the short term. Please evacuate the danger zone immediately and make disaster prevention preparations [2022-09-15 15:27].

[0131] [Weekly Report on Pumped Storage Geological Disaster Monitoring] As of April 24, 2023, XX Pumped Storage Power Station has deployed 23 sets of geological disaster monitoring devices, triggering 0 red warnings, 0 orange warnings, and 0 yellow warnings. There are 0 points with obvious deformation compared with the previous period. For details, please click the link to view the specific website.

[0132] [XX pumped storage geological disaster monitoring deformation results] The summary table of weekly geological disaster monitoring results on yyyy-mm-dd has been delivered. Currently, [xx] sets of equipment are deployed, [xx] red warnings are triggered, [xx] orange warnings are triggered, [xx] yellow warnings are triggered, and there are [xx] points with a significant increase in deformation compared to the previous period. For details, please click the link to view the specific website.

[0133] The above-described embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art based on the present invention are within the protection scope of the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. A method for processing geological disaster monitoring and early warning information, characterized in that: The following steps are involved: S1: Get the accumulated deformation of A0 at a certain moment; S2: Determine the displacement warning level according to the accumulated deformation amount, and judge whether the threshold of the corresponding displacement warning level is reached. If the threshold is reached, judge whether the corresponding warning level has sent a text message. If the text message has been sent within the preset time period, do not send the text message, obtain the accumulated deformation amount at the next moment, and continue to judge the next moment. If the text message has not been sent within the preset time period, determine the warning level and send a text message according to the highest warning level. S3: If the threshold is not reached, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the judgment of the A0+1 moment is continued; S4: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered.

2. The method for processing geological disaster monitoring and early warning information according to claim 1, characterized in that: The following steps are also included: S21: Determine the sublevel of the corresponding warning level, and judge whether to send a text message in the sublevel. If the corresponding sublevel has sent a text message, do not send the text message, and continue to obtain the accumulated deformation amount at the next moment; If no SMS is sent, the warning level is determined and the SMS is sent based on the highest warning level.

3. The method for processing geological disaster monitoring and early warning information according to claim 2, characterized in that: The sub-levels are formed by dividing the corresponding warning level into N warning sub-levels; divided into different sub-levels according to the importance of the warning degree, including blue warning, yellow warning, orange warning, and red warning; divided into a, b, c, and d in sequence according to the numerical value of the cumulative deformation; among which, the digital range (a, b) represents a blue warning; the digital range (b, c) represents a yellow warning; the digital range (c, d) represents an orange warning; the digital range (above d) represents a red warning.

4. The method for processing geological disaster monitoring and early warning information according to claim 3, characterized in that: Each sub-level can be further divided into Q quantiles, and the quantile of each sub-level can be different and determined according to specific circumstances; The blue warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (ba) / Q, and the value of the nth quantile is a+n(ba) / Q; The yellow warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (cb) / Q, and the value of the nth quantile is b+n(cb) / Q; The orange warning area can be divided into Q quantiles, that is, divided into Q areas, each area is (dc) / Q, and the value of the nth quantile is c+n(dc) / Q; The red warning area can be divided into Q quantiles, that is, divided into Q equal areas, each area is (dc) / Q or 0.1d, and the value of the nth quantile is d+n(dc) / Q or d+0.1d.

5. The method for processing geological disaster monitoring and early warning information according to claim 1, characterized in that: The Q quantile adopts 10 quantiles or 5 quantiles.

6. The method for processing geological disaster monitoring and early warning information according to claim 1, characterized in that: The following steps are also included: S5: Obtain the deformation rate of A0 at a certain moment; S6: Determine the deformation rate warning level according to the deformation rate, and determine whether the threshold of the corresponding deformation rate warning level is reached, determine the number of times A that the deformation rate reaches the threshold within a preset time range; determine whether the number of times A that the rate continuously reaches the threshold is greater than the allowed number M, if it is greater than or equal to the allowed number, determine the warning level and send a text message according to the highest warning level; S7: If it is less than the allowed number, no SMS is sent, and the accumulated deformation amount at the next moment is obtained, that is, the A0+1 moment is determined; S8: When a short message is sent, the accumulated deformation amount at the next moment is continuously obtained, and the monitoring process for determining the next moment is entered.

7. The method for processing geological disaster monitoring and early warning information according to any one of claims 1 to 6, characterized in that: The short message includes a device health status short message; the device health status short message is used to record the device's own status information; the device's own status information is determined in the following manner: Get the detection information sent by the device; According to the detection time period set by the device, determine whether the detection information sent by the device is complete. If not, determine that the device is offline, and send device offline information according to the set time until the detection information is complete; if yes, continue to loop to obtain the detection information sent by the device.

8. The method for processing geological disaster monitoring and early warning information according to claim 1, characterized in that: The text messages include device operation status text messages; The device operation status SMS is used to obtain statistical information of the device in different time periods, including statistical early warning status information of all devices by week, month and season, and obtain information in different states.

9. The method for processing geological disaster monitoring and early warning information according to claim 1, characterized in that: The text messages include monitoring and early warning text messages of a single device; The monitoring and early warning SMS of the single device is used to send the abnormal information detected by each device in different time periods in real time.

10. A geological disaster monitoring and early warning information processing system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 9 is implemented.

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