Dam safety monitoring data processing method and data processing system

Abstract

The invention relates to a data processing method and a data processing system for dam safety monitoring, and the method comprises the following steps: defining first data and second data, the first data being horizontal displacement of a left bank slope surface of a dam, and the second data being horizontal displacement of a right bank slope surface of the dam; the first data and the second data of the dam are observed respectively, and horizontal displacement is observed through an intersection method; establishing a threshold evaluation system, acquiring and analyzing the monitoring states of the first data and the second data, and predicting the trend of the first data and the second data according to the monitoring states; the monitoring position is analyzed and adjusted, the monitoring state of the first data and the monitoring state of the second data are judged according to the adjusted error, and the analysis and adjustment of the monitoring position are the change of the fixed point position; and a data identification model is constructed, the first data and the second data are identified, the types of the data are automatically distinguished, and the data identification model can prompt the data which cannot be automatically identified.

Description

Technical Field

[0001] The present application relates to the technical field of dam safety monitoring, and in particular to a data processing method and a data processing system for dam safety monitoring. Background Art

[0002] When monitoring the horizontal displacement of the dam slope surface, usually only one side is measured, which will result in inaccurate measured data. The traditional arrangement of dam observation points will bring some errors, and there will be abnormal data in the measured data. If all the data are counted, the abnormal data will interfere with the dam safety monitoring. If the monitoring position is determined and not changed, the monitoring point at the initial position will have poor monitoring effect. Summary of the invention

[0003] A first aspect of an embodiment of the present application provides a data processing method for dam safety monitoring, which can reduce the interference of abnormal data on dam safety monitoring, judge the initial monitoring data status, and avoid the problem of poor monitoring effect at the monitoring point at the initial position.

[0004] The data processing method for dam safety monitoring provided in the first aspect of the embodiment of the present application comprises the following steps:

[0005] 1) defining first data and second data, wherein the first data is the horizontal displacement of the surface of the slope on the left bank of the dam, and the second data is the horizontal displacement of the surface of the slope on the right bank of the dam, observing the first data and the second data of the dam respectively, and observing the horizontal displacement using the intersection method;

[0006] 2) establishing a threshold evaluation system, obtaining and analyzing the monitoring status of the first data and the second data, and predicting the trends of the first data and the second data according to the monitoring status;

[0007] 3) analyzing and adjusting the monitoring position, and judging the monitoring status of the first data and the second data according to the adjusted error, wherein the analysis and adjustment of the monitoring position is the change of the fixed point position;

[0008] 4) Constructing a data recognition model to recognize the first data and the second data and automatically distinguish the types of data. The data recognition model can provide prompts for data that cannot be automatically recognized.

[0009] In addition, the data processing method for dam safety monitoring provided in the embodiment of the present application may also have the following additional technical features:

[0010] In an optional solution, in step 1), observing the first data and the second data of the dam includes the following steps:

[0011] At present, there are at least 70 surface displacement observation piers and at least 5 groups of working base points on the left bank slope surface of the dam, including TN01~TN03, TN04~TN03, TN10~TN04, and TS1~TN01;

[0012] There are currently at least 94 surface displacement observation piers measuring the right bank slope surface of the dam, and at least two groups of working base points, including TB05~TS07 and TB05~TN02.

[0013] In an optional solution, in step 2), establishing a threshold evaluation system, and analyzing the monitoring status of the first data and the second data includes the following steps:

[0014] The first data and the second data are collected and recorded as Hj, where j is the serial number of the data. Then, within the time T, n data are obtained. According to the trend of the n data, that is, the record of a single data, the average value of the n data is also calculated, where: P is the average value of n data;

[0015] A data threshold YH is set. If P≤YH, it indicates that the monitoring status of the first data and the second data is normal. If P>YH, it indicates that the monitoring status of the first data and the second data needs further analysis, specifically:

[0016] Set the extreme threshold JD, and calculate the difference between Hj and JD. If Hj-JD>YH, the Hj data will be judged as abnormal data, deleted, and the P value will be recalculated and re-analyzed according to the difference between P and YH.

[0017] In an optional solution, when recording a single data according to the trends of n data, the time T is divided into a number of time nodes Ts, and the recording is performed in units of the time node Ts.

[0018] In an optional solution, in step 2), predicting the trends of the first data and the second data includes the following steps:

[0019] Taking time t as the period, calculate the growth rate or decrease rate of the data in adjacent time periods, and make a forecast for the monitoring data of the next stage based on the analysis of the ratio.

[0020] In an optional solution, in step 3), analyzing and adjusting the monitoring position includes the following steps:

[0021] The area is extended outward from the monitoring position as the center point, and the area is a square. Then the square area is divided, and the divided individual areas are marked as Sj, where j is the serial number of the divided area. Then, the infrared dividing line is set according to the division of area Sj, and the divided area of ​​Sj is determined by projecting the infrared dividing line onto the square area;

[0022] Monitoring data is collected at the center position of each area Sj, and the collected monitoring data is analyzed according to the set data threshold range YU. If the monitoring data are all within the data threshold range YU, the data is valid. If a group of data is not within the threshold range YU, the data is invalid and the invalid data is deleted.

[0023] In an optional solution, when the divided regions of Sj are determined according to the projection of infrared dividing lines onto the square regions, the areas of the divided regions are the same.

[0024] In an optional solution, in step 4), identifying the first data and the second data and automatically distinguishing the types of the data includes the following steps:

[0025] The identification range of the data is set and recorded as (x, y), where (x, y) includes several range data, and then the first data and the second data are divided according to (x, y), and the data falling into (x, y) is the determined classification data; the data not falling into (x, y) needs further analysis, specifically: when the first data and the second data fall into two overlapping ranges (x, y), they cannot be distinguished according to the range;

[0026] The data that does not fall into (x, y) is marked and recorded as SD. The marking method is distinguished by the size of the data, with small data in front and large data in the back. Then, according to the marked data, manual confirmation is performed and the data SD is re-divided into (x, y).

[0027] A second aspect of an embodiment of the present application provides a data processing system for dam safety monitoring, which includes a data processing system body. When running, the data processing system body can execute the data processing method for dam safety monitoring in the embodiment of the first aspect in the form of a computer program or instruction.

[0028] In an optional solution, the data processing system body includes:

[0029] A data observation unit, wherein the data observation unit is used to observe the first data and the second data of the dam respectively;

[0030] A monitoring status unit, the monitoring status unit is used to obtain the first data and the second data, establish a threshold evaluation system, analyze the monitoring status of the first data and the second data, and predict the trend of the first data and the second data according to the monitoring status;

[0031] an analysis and adjustment unit, the analysis and adjustment unit being used to analyze and adjust the monitoring position, and to judge the monitoring status of the first data and the second data according to the adjusted error;

[0032] A data identification unit is used to construct a data identification model, identify the first data and the second data, and automatically distinguish the types of data.

[0033] The beneficial effects of the embodiments of the present application are:

[0034] The data processing method and data processing system for dam safety monitoring in the embodiment of the present application obtain relatively accurate monitoring data by observing the horizontal displacement of the surface of the left bank slope of the dam and the horizontal displacement of the surface of the right bank slope of the dam using the intersection method, and then use the establishment of a threshold evaluation system to analyze the monitoring status of the data and delete abnormal data, which can reduce the interference of abnormal data on dam safety monitoring, and analyze and adjust the monitoring position in conjunction with the initial monitoring data status to avoid the problem of poor monitoring effect at the monitoring point at the initial position.

[0035] It should be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Schematic diagram of the position of the intersection observation plane of the surface displacement of the left bank slope of the dam provided for this application;

[0037] Figure 2 A schematic diagram of the composition of the electronic device provided for this application;

[0038] Figure 3 Schematic diagram of the position of the intersection observation plane of the surface displacement of the right bank slope of the dam provided for this application;

[0039] Figure 4 Flowchart of the data processing method for dam safety monitoring provided for this application;

[0040] Figure 5 This is a system block diagram of the data processing system provided in this application.

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application. DETAILED DESCRIPTION

[0042] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0043] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0044] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0045] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0046] It should be noted that the directional words such as "upper", "lower", "left", and "right" described in the embodiments of the present application are described at the angles shown in the accompanying drawings and should not be understood as limiting the embodiments of the present application. In addition, in the context, it is also necessary to understand that when it is mentioned that an element is connected to another element "upper" or "lower", it can not only be directly connected to another element "upper" or "lower", but also indirectly connected to another element "upper" or "lower" through an intermediate element.

[0047] like Figure 1-5 As shown, a first aspect of an embodiment of the present application provides a data processing method for dam safety monitoring, and the data processing method for dam safety monitoring comprises the following steps:

[0048] 1) Define first data and second data, the first data is the horizontal displacement of the surface of the left bank slope of the dam, and the second data is the horizontal displacement of the surface of the right bank slope of the dam, observe the first data and the second data of the dam respectively, and observe the horizontal displacement using the intersection method; specifically, the following steps are included when observing the first data and the second data of the dam:

[0049] There are currently 70 surface displacement observation piers on the left bank slope surface of the dam, with 5 working base points, namely TN01~TN03, TN04~TN03, TN10~TN04, TS1~TN01, for reference. Figure 1 As shown;

[0050] There are currently 94 surface displacement observation piers on the right bank slope of the dam, with two groups of working base points, namely TB05~TS07 and TB05~TN02. Figure 3 shown.

[0051] 2) Acquire the first data and the second data, establish a threshold evaluation system, analyze the monitoring status of the first data and the second data, and predict the trend of the first data and the second data according to the monitoring status; specifically, establish the threshold evaluation system, and analyze the monitoring status of the first data and the second data including the following steps:

[0052] First, the first data and the second data are collected and recorded as Hj, where j is the serial number of the data. Then, within the time T, n data are obtained. According to the trend of the n data, that is, the record of a single data, the average value of the n data is also calculated, where: P is the average value of n data; when recording a single data according to the trend of n data, the time T is divided into several time nodes Ts, and the data is recorded in units of time nodes Ts.

[0053] Then set the data threshold YH. If P≤YH, it means that the monitoring status of the first data and the second data is normal. If P>YH, it means that the monitoring status of the first data and the second data needs further analysis. Specifically, set the extreme threshold JD, and calculate the difference between Hj and JD. If Hj-JD>YH, the Hj data that appears at this time will be judged as abnormal data, and the data will be deleted. Then the P value will be recalculated and re-analyzed according to P and YH.

[0054] In step 2), predicting the trend of the first data and the second data specifically includes the following steps: taking time t as a period, calculating the growth rate or decline rate of adjacent time data, and predicting the monitoring data of the next stage based on the analysis of the ratio.

[0055] 3) Analyzing and adjusting the monitoring position, and judging the monitoring status of the first data and the second data according to the adjusted error, wherein the analyzing and adjusting the monitoring position is the change of the fixed point position; specifically, analyzing and adjusting the monitoring position includes the following steps:

[0056] First, an area is extended outward with the monitoring position as the center point, and the area is a square. Then the square area is divided, and the divided individual areas are marked as Sj, where j is the serial number of the divided area. Then, an infrared dividing line is set according to the division of area Sj, and the divided area of ​​Sj is determined by projecting the infrared dividing line onto the square area. When it is necessary to explain that when determining the divided area of ​​Sj by projecting the infrared dividing line onto the square area, the area sizes of the divided areas are the same;

[0057] Then, monitoring data is collected at the center position of each area Sj, and the collected monitoring data is analyzed according to the set data threshold range YU. If the monitoring data are all within the data threshold range YU, the data is valid. If a group of data is not within the threshold range YU, the data is invalid and the invalid data can be deleted.

[0058] 4) Constructing a data recognition model to recognize the first data and the second data and automatically distinguish the types of data. The data recognition model can provide prompts for data that cannot be automatically recognized;

[0059] In step 4), the first data and the second data are identified, and the types of the data are automatically distinguished, including the following steps:

[0060] Set the data recognition range and record it as (x, y), where (x, y) includes several range data, and then divide the first data and the second data according to (x, y). The data falling into (x, y) is the determined classification data; the data not falling into (x, y) needs further analysis, specifically: when the first data and the second data fall into two overlapping ranges (x, y), they cannot be distinguished according to the range;

[0061] The data that does not fall into (x, y) is marked and recorded as SD. The marking method is distinguished by the size of the data, with small data in front and large data in the back. Then, according to the marked data, manual confirmation is performed and the data SD is re-divided into (x, y).

[0062] In this embodiment, the data processing method for dam safety monitoring obtains relatively accurate monitoring data by observing the horizontal displacement of the surface of the left bank slope of the dam and the horizontal displacement of the surface of the right bank slope of the dam using the intersection method, and then uses the establishment of a threshold evaluation system to analyze the monitoring status of the data and delete abnormal data, which can reduce the interference of abnormal data on dam safety monitoring, and cooperate with the monitoring position for analysis and adjustment, so as to judge the initial monitoring data status and avoid the problem of poor monitoring effect of the monitoring point at the initial position.

[0063] like Figure 5 As shown, the second aspect of the embodiment of the present application also provides a data processing system for dam safety monitoring, which includes a data processing system body. When the data processing system body is running, it can execute the data processing method for dam safety monitoring in the embodiment of the first aspect in the form of a computer program or instruction.

[0064] Specifically, the data processing system body includes a data observation unit, a monitoring status unit, an analysis and adjustment unit and a data identification unit, wherein the data observation unit is used to observe the first data and the second data of the dam respectively; the monitoring status unit is used to obtain the first data and the second data, establish a threshold evaluation system, analyze the monitoring status of the first data and the second data, and predict the trend of the first data and the second data according to the monitoring status; the analysis and adjustment unit is used to analyze and adjust the monitoring position, and judge the monitoring status of the first data and the second data according to the adjusted error; the data identification unit is used to construct a data identification model, identify the first data and the second data, and automatically distinguish the types of data.

[0065] like Figure 2 As shown, in some other embodiments, the present application also provides an electronic device and a corresponding embodiment, the electronic device includes a memory and a processor. Among them, the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0066] The memory may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. Among them, ROM can store static data or instructions required by the processor or other modules of the computer. The permanent storage device can be a readable and writable storage device. The permanent storage device can be a non-volatile storage device that does not lose the stored instructions and data even if the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In other embodiments, the permanent storage device can be a removable storage device (such as a floppy disk, optical drive). The system memory can be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory can store some or all instructions and data required by the processor at run time.

[0067] In addition, the memory may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory may include a removable storage device that can be read and / or written, such as a laser disc (CD), a read-only digital versatile disk (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disk, an ultra-density optical disk, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include a carrier wave and an instantaneous electronic signal transmitted wirelessly or by wire. The memory stores executable code, and when the executable code is processed by the processor 0, the processor can execute part or all of the methods described above.

[0068] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. Those skilled in the art should also know that the actions and modules involved in the description are not necessarily required by the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application can be adjusted in order, merged and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be merged, divided and deleted according to actual needs.

[0069] In addition, the method according to the present application can also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application. Alternatively, the present application can also be implemented as a non-temporary machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium), on which executable code (or computer program, or computer instruction code) is stored, and when the executable code (or computer program, or computer instruction code) is executed by a processor of an electronic device (or electronic device, server, etc.), the processor executes part or all of the steps of the above method according to the present application.

[0070] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.

[0071] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system and method according to multiple embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, a program segment or a code, and the part of the module, the program segment or the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or the flow chart, and the combination of the square boxes in the block diagram and / or the flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0072] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A data processing method for dam safety monitoring, It is characterized in that The following steps are involved: 1) defining first data and second data, wherein the first data is the horizontal displacement of the surface of the slope on the left bank of the dam, and the second data is the horizontal displacement of the surface of the slope on the right bank of the dam, observing the first data and the second data of the dam respectively, and observing the horizontal displacement using the intersection method; 2) establishing a threshold evaluation system, obtaining and analyzing the monitoring status of the first data and the second data, and predicting the trends of the first data and the second data according to the monitoring status; 3) analyzing and adjusting the monitoring position, and judging the monitoring status of the first data and the second data according to the adjusted error, wherein the analysis and adjustment of the monitoring position is the change of the fixed point position; 4) Constructing a data recognition model to recognize the first data and the second data and automatically distinguish the types of data. The data recognition model can provide prompts for data that cannot be automatically recognized.

2. The data processing method for dam safety monitoring according to claim 1, It is characterized in that In the step 1), observing the first data and the second data of the dam includes the following steps: At present, there are at least 70 surface displacement observation piers and at least 5 groups of working base points on the left bank slope surface of the dam, including TN01~TN03, TN04~TN03, TN10~TN04, and TS1~TN01; There are currently at least 94 surface displacement observation piers measuring the right bank slope surface of the dam, and at least two groups of working base points, including TB05~TS07 and TB05~TN02.

3. The data processing method for dam safety monitoring according to claim 1 or 2, It is characterized in that In the step 2), establishing a threshold evaluation system to analyze the monitoring status of the first data and the second data includes the following steps: The first data and the second data are collected and recorded as Hj, where j is the serial number of the data. Then, within the time T, n data are obtained. According to the trend of the n data, that is, the record of a single data, the average value of the n data is also calculated, where: P is the average value of n data; A data threshold YH is set. If P≤YH, it indicates that the monitoring status of the first data and the second data is normal. If P>YH, it indicates that the monitoring status of the first data and the second data needs further analysis, specifically: Set the extreme threshold JD, and calculate the difference between Hj and JD. If Hj-JD>YH, the Hj data will be judged as abnormal data, deleted, and the P value will be recalculated and re-analyzed according to the difference between P and YH.

4. The data processing method for dam safety monitoring according to claim 3, It is characterized in that When recording a single data according to the trends of n data, the time T is divided into a number of time nodes Ts, and the data is recorded in units of time nodes Ts.

5. The data processing method for dam safety monitoring according to claim 3, It is characterized in that In the step 2), predicting the trends of the first data and the second data includes the following steps: Taking time t as the period, calculate the growth rate or decrease rate of the data in adjacent time periods, and make a forecast for the monitoring data of the next stage based on the analysis of the ratio.

6. The data processing method for dam safety monitoring according to any one of claims 1-2 or 4-5, It is characterized in that In step 3), analyzing and adjusting the monitoring position includes the following steps: The area is extended outward from the monitoring position as the center point, and the area is a square. Then the square area is divided, and the divided individual areas are marked as Sj, where j is the serial number of the divided area. Then, the infrared dividing line is set according to the division of area Sj, and the divided area of ​​Sj is determined by projecting the infrared dividing line onto the square area; Monitoring data is collected at the center position of each area Sj, and the collected monitoring data is analyzed according to the set data threshold range YU. If the monitoring data are all within the data threshold range YU, the data is valid. If a group of data is not within the threshold range YU, the data is invalid and the invalid data is deleted.

7. The data processing method for dam safety monitoring according to claim 6, It is characterized in that When the divided regions of Sj are determined according to the projection of the infrared dividing line onto the square region, the sizes of the divided regions are the same.

8. The data processing method for dam safety monitoring according to any one of claims 1-2 or 4-5 or 7, It is characterized in that In the step 4), identifying the first data and the second data and automatically distinguishing the types of data includes the following steps: The identification range of the data is set and recorded as (x, y), where (x, y) includes several range data, and then the first data and the second data are divided according to (x, y), and the data falling into (x, y) is the determined classification data; the data not falling into (x, y) needs further analysis, specifically: when the first data and the second data fall into two overlapping ranges (x, y), they cannot be distinguished according to the range; The data that does not fall into (x, y) is marked and recorded as SD. The marking method is distinguished by the size of the data, with small data in front and large data in the back. Then, according to the marked data, manual confirmation is performed and the data SD is re-divided into (x, y).

9. A data processing system for dam safety monitoring, It is characterized in that It comprises a data processing system body, which can execute the data processing method for dam safety monitoring according to any one of claims 1 to 8 in the form of computer program or instructions when running.

10. The data processing system for dam safety monitoring according to claim 9, It is characterized in that The data processing system includes: A data observation unit, wherein the data observation unit is used to observe the first data and the second data of the dam respectively; A monitoring status unit, the monitoring status unit is used to obtain the first data and the second data, establish a threshold evaluation system, analyze the monitoring status of the first data and the second data, and predict the trend of the first data and the second data according to the monitoring status; an analysis and adjustment unit, the analysis and adjustment unit being used to analyze and adjust the monitoring position, and to judge the monitoring status of the first data and the second data according to the adjusted error; A data identification unit is used to construct a data identification model, identify the first data and the second data, and automatically distinguish the types of data.

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