CN114157700A - Dam reservoir safety monitoring system - Google Patents
Dam reservoir safety monitoring system Download PDFInfo
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- CN114157700A CN114157700A CN202210119659.3A CN202210119659A CN114157700A CN 114157700 A CN114157700 A CN 114157700A CN 202210119659 A CN202210119659 A CN 202210119659A CN 114157700 A CN114157700 A CN 114157700A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/08—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water
- G08B21/084—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water by monitoring physical movement characteristics of the water
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Abstract
The invention provides a dam reservoir safety monitoring system, comprising: a data perception unit: comprising N attitude sensors, said N > 10; the attitude sensors are uniformly distributed and fixedly arranged on the dam faces of the dam and the reservoir; edge calculation end: acquiring data of a data acquisition unit and analyzing the data; the control terminal: the system comprises a server or a cloud end deployed in a safety monitoring center and used for data management, early warning reception and data visual presentation; the monitoring cost can be effectively saved, and the monitoring efficiency is improved.
Description
Technical Field
The invention belongs to the field of monitoring of the water conservancy industry, and particularly relates to a dam reservoir safety monitoring system.
Background
The dam is used for intercepting and blocking water, and the dam is used for blocking water, the reservoir is a water conservancy project building for blocking flood, storing water and adjusting water flow, and the reservoir and the dam have critical functions for irrigation, power generation, flood control, cultivation and domestic water at the downstream of a river bank. Is an important facility for guaranteeing the property and life safety of the downstream people. However, the dam reservoir is affected by factors such as dam type, dam body structure, geological conditions, ecological environment and flood impact, potential safety hazards such as cracks, displacement and seepage are easy to occur, and if the potential safety hazards cannot be timely detected, the potential safety hazards can cause great threat to life and property safety of people.
The conventional dam reservoir safety monitoring means generally carries out comprehensive monitoring through various sensors such as a seepage meter, RTK (real-time kinematic) and soil pressure, the monitoring mode is high in equipment cost at first, construction, installation and maintenance are needed, huge labor cost is also brought, and economic benefits are low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a dam reservoir safety monitoring system which can effectively save the monitoring cost and improve the monitoring efficiency.
The invention is realized by the following modes:
a dam reservoir safety monitoring system comprising:
a data perception unit: comprising N attitude sensors, said N > 10; the attitude sensors are uniformly distributed and fixedly arranged on the dam faces of the dam and the reservoir;
edge calculation end: acquiring data of a data acquisition unit and analyzing the data;
the control terminal: the system comprises a server or a cloud end deployed in a safety monitoring center and used for data management, early warning reception and data visual presentation;
the edge calculation end judges the monitoring data in the following mode:
s1, defining an x axis and a z axis by taking the direction of the attitude sensor perpendicular to the gravity acceleration of the geocenter as the y axis, wherein the x axis, the z axis and the y axis are vertical in pairs, establishing a y axis plane passing through the y axis and the z axis and vertical to the x axis, establishing an x axis plane and a z axis plane in the same way, and setting the x axis plane, the y axis plane and the z axis plane to be vertical in pairs;
s2, using the center of the device as the origin, forming 4 equal divisions on the x-axis plane, the y-axis plane and the z-axis plane, respectively, where m = {1,2,3,4}, and denotes the identifier of the division, and Axm, Aym and Azm denote the divisions;
s3, reading the offset of the attitude sensor, and projecting the offset to an x-axis surface, a y-axis surface and a z-axis surface to form the offsets Bx, By and Bz of the x-axis surface, the y-axis surface and the z-axis surface;
s4 finding the total offset BGeneral assemblyMaximum attitude sensor C, where BGeneral assembly= Bx | + | By | + | Bz |; s5, B for point CGeneral assemblyAnd judging:
s51, if all the attitude sensors adjacent to the sensor C have no data change, judging that the attitude sensors are fault data, and sending a fault alarm;
s52, if all attitude sensors adjacent to the point C have data changes and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane all fall into the same interval, judging that the point C is a dangerous point, and sending a risk alarm;
s53, if all attitude sensors adjacent to the point C have data change and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane do not completely fall into the same interval, judging that a crack appears near the point C or a plurality of dangerous points exist, and sending a risk alarm.
Further, the method also comprises the following steps,
s54, continuously searching a point D which is adjacent to the point C, has the projection of the offset on the x-axis plane, the y-axis plane and the z-axis plane, is different from the point C and has the maximum offset total;
s55 eliminating the monitoring points adjacent to D and having the same projection with C on the x-axis plane, the y-axis plane and the z-axis plane, judging the data change condition of other attitude sensors adjacent to D, if there is B of other monitoring points ETotal EGreater than BTotal DThen continue to compare with the adjacent monitoring points based on the E point until B is foundGeneral assemblyThe largest point, then BGeneral assemblyThe largest point is judged as the second dangerous point.
Furthermore, the system also comprises an audible and visual alarm, and when the edge computing end finds a dangerous point and cannot be in communication connection with the control terminal, the audible and visual alarm is started.
Further, the attitude sensor also comprises an alarm lamp, and when the edge computing terminal finds that the attitude sensor is a dangerous point, the attitude sensor turns on the alarm lamp.
Furthermore, the data perception unit also comprises water level monitoring, rainfall monitoring and temperature and humidity monitoring.
The invention provides a reservoir dam safety monitoring system, which carries out safety monitoring on a dam reservoir through a posture sensor and carries out safety condition judgment through an edge calculation end, thereby achieving the purposes of quick response and installation cost saving. Meanwhile, the dangerous points existing in the dam or the reservoir can be judged through the data of the attitude sensor, an alarm is provided, and managers are assisted to quickly find potential safety hazards of the dam reservoir.
Drawings
FIG. 1 is a schematic view of the x, y, and z axial planes of the present invention;
FIG. 2 is a schematic view of an offset projection;
FIG. 3 is a schematic diagram of x-axis plane interval division;
FIG. 4 is a schematic diagram illustrating a dangerous point judgment;
fig. 5 is a schematic view of a second hazard point.
Detailed Description
A dam reservoir safety monitoring system comprising:
a data perception unit: comprising N attitude sensors 1, said N > 10; the attitude sensors are uniformly distributed and fixedly arranged on the dam faces of the dam and the reservoir;
edge calculation end: acquiring data of a data acquisition unit and analyzing the data;
the control terminal: the system comprises a data management module, a data acquisition module, a data display module and a data display module, wherein the data management module is used for managing data, early warning reception and data visual presentation of an edge computing end;
the edge calculation end judges the monitoring data in the following mode:
s1, defining an x axis and a z axis by taking the direction of the attitude sensor perpendicular to the gravity acceleration of the geocenter as the y axis, wherein the x axis, the z axis and the y axis are vertical in pairs, establishing a y axis plane passing through the y axis and the z axis and vertical to the x axis, establishing an x axis plane and a z axis plane in the same way, and setting the x axis plane, the y axis plane and the z axis plane to be vertical in pairs;
s2, using the center of the device as the origin, forming 4 equal divisions on the x-axis plane, the y-axis plane and the z-axis plane, respectively, where m = {1,2,3,4}, and denotes the identifier of the division, and Axm, Aym and Azm denote the divisions;
s3 reading the offset 2 of the attitude sensor, and projecting the offset to an x-axis plane, a y-axis plane and a z-axis plane to form offsets Bx, By and Bz of the x-axis plane, the y-axis plane and the z-axis plane;
s4 finding the total offset BGeneral assemblyMaximum attitude sensor C, where BGeneral assembly= Bx | + | By | + | Bz |; s5, B for point CGeneral assemblyAnd judging:
s51, if all the attitude sensors adjacent to the sensor C have no data change, judging that the attitude sensors are fault data, and sending a fault alarm;
s52, if all attitude sensors adjacent to the point C have data changes and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane all fall into the same interval, judging that the point C is a dangerous point, and sending a risk alarm;
s53, if all attitude sensors adjacent to the point C have data changes and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane do not completely fall into the same interval, judging that a crack occurs near the point C or a plurality of dangerous points exist, and sending out a danger alarm.
During the in-service use, the more attitude sensor sets up can improve the monitoring accuracy more, and attitude sensor evenly distributed fixes the monitoring face at reservoir or dam as far as possible. During installation, the attitude sensors should be uniformly initialized to ensure that each attitude sensor is in the same state before monitoring.
The offset of the attitude sensor can be decomposed into the angular offset of three planes, namely an x-axis plane, a y-axis plane and a z-axis plane, the offset is used for representing the offset degree, and can be represented by an angle or converted into a numerical value according to actual requirements. In fig. 2, the x-axis plane is taken as an example, and is divided into four regions of Ax1, Ax2, Ax3 and Ax4 according to the x-axis and the y-axis.
The y-axis plane and the z-axis plane are decomposed similarly to the x-axis plane, and are not described in detail.
When an attitude sensor monitors offset data, data reliability judgment is firstly carried out, namely whether the adjacent monitoring points of the attitude sensor monitor offset or not is judged, and if only one sensor has offset, the sensor is proved to possibly have faults.
The monitoring point with the maximum offset amount represents that the offset degree is possibly the maximum, and the collapse of large-scale projects such as dam reservoirs is generally directional in the initial stage and cannot collapse dispersedly, so that the periphery of the collapse point is considered to be offset towards the same direction.
As shown in fig. 3, when a point C with the largest offset is detected, the point C is compared with monitoring points C1-C3 around the point C, and whether the offsets of the points on the x-axis plane, the y-axis plane and the z-axis plane all fall into the same interval is determined from the offsets. And if no offset data is monitored at all monitoring points C1-C3, judging the monitoring data of C as fault data.
If the C1-C3 all monitor data, the offset of each monitoring point is judged to be projected on an x-axis plane, a y-axis plane and a z-axis plane, if the sections where the projections of the x-axis plane, the y-axis plane and the z-axis plane are located are the same as the monitoring point C, the monitoring points are proved to incline towards the same direction, and the inclination degree of the C is the most serious, so that the C point is judged to be a dangerous point, and an alarm is given.
If multiple offsets B exist simultaneouslyGeneral assemblyThe same monitoring points, and the BGeneral assemblyAnd if the offsets are the points with the maximum offset, randomly selecting one of the points for judgment.
If the C1-C3 all have monitoring data and the difference exists between the monitoring point C and the section where the projection of one monitoring point in the x-axis plane, the y-axis plane and the z-axis plane is located, it is proved that other monitoring points can be shifted to different directions. Judging that cracks or other dangerous points with collapse and sliding exist near the point C and giving an alarm.
The data visualization mode can be realized by establishing a monitoring surface model and identifying the position corresponding to the attitude sensor, and the sensor with alarm is highlighted, so that a manager can know dangerous conditions in time and overhaul and patrol the dam reservoir.
Further, the method also comprises the following steps,
s54, continuously searching a point D which is adjacent to the point C, has the projection of the offset on the x-axis plane, the y-axis plane and the z-axis plane, is different from the point C and has the maximum offset total;
that is, the point with the largest offset is selected from C1-C3 and redefined as D. For example, C2 is the monitor point with the largest offset except C, and C2 is redefined as D as shown in fig. 4.
S55 eliminating the monitoring points adjacent to D and having the same projection with C on the x-axis plane, the y-axis plane and the z-axis plane, judging the data change condition of other attitude sensors adjacent to D, if there is B of other monitoring points ETotal EGreater than BTotal DThen continue to compare with the adjacent monitoring points (e.g. E1, E2, E3, if the offset of E is the largest in E, E1, E2, E3, then E is the second danger point) based on E point, otherwise, until B is found, as beforeGeneral assemblyThe point of maximum (except point C), then the point BGeneral assemblyThe maximum point is judged as a second dangerous point.
Furthermore, the system also comprises an audible and visual alarm, and when the edge computing end finds a dangerous point and cannot be in communication connection with the control terminal, the audible and visual alarm is started.
When the communication environment is blocked, the system can still respond in time.
Further, the attitude sensor also comprises an alarm lamp, and when the edge computing terminal finds that the attitude sensor is a dangerous point, the attitude sensor turns on the alarm lamp.
Furthermore, the data perception unit further comprises a water level monitoring sensor, a rainfall monitoring sensor and a temperature and humidity sensor.
And multiple factors are combined with monitoring, so that decision basis is provided for safety monitoring and maintenance.
Claims (5)
1. A dam reservoir safety monitoring system, comprising:
a data perception unit: comprising N attitude sensors, said N > 10; the attitude sensors are uniformly distributed and fixedly arranged on the dam faces of the dam and the reservoir;
edge calculation end: acquiring data of a data acquisition unit and analyzing the data;
the control terminal: the system comprises a server or a cloud end deployed in a safety monitoring center and used for data management, early warning reception and data visual presentation;
the edge calculation end judges the monitoring data in the following mode:
s1, defining an x axis and a z axis by taking the direction of the attitude sensor perpendicular to the gravity acceleration of the geocenter as the y axis, wherein the x axis, the z axis and the y axis are vertical in pairs, establishing a y axis plane passing through the y axis and the z axis and vertical to the x axis, establishing an x axis plane and a z axis plane in the same way, and setting the x axis plane, the y axis plane and the z axis plane to be vertical in pairs;
s2, using the center of the device as the origin, forming 4 equal divisions on the x-axis plane, the y-axis plane and the z-axis plane, respectively, where m = {1,2,3,4}, and denotes the identifier of the division, and Axm, Aym and Azm denote the divisions;
s3, reading the offset of the attitude sensor, and projecting the offset to an x-axis surface, a y-axis surface and a z-axis surface to form the offsets Bx, By and Bz of the x-axis surface, the y-axis surface and the z-axis surface;
s4 finding the total offset BGeneral assemblyMaximum attitude sensor C, where BGeneral assembly= Bx | + | By | + | Bz |; s5, B for point CGeneral assemblyAnd judging:
s51, if all the attitude sensors adjacent to the sensor C have no data change, judging that the attitude sensors are fault data, and sending a fault alarm;
s52, if all attitude sensors adjacent to the point C have data changes and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane all fall into the same interval, judging that the point C is a dangerous point, and sending a risk alarm;
s53, if all attitude sensors adjacent to the point C have data change and the projections of the offset on the x-axis plane, the y-axis plane and the z-axis plane do not completely fall into the same interval, judging that a crack appears near the point C or a plurality of dangerous points exist, and sending a risk alarm.
2. The system of claim 1, wherein the edge calculating terminal determines the monitoring data by further comprising the steps of,
s54, continuously searching a point D which is adjacent to the point C, has the projection of the offset on the x-axis plane, the y-axis plane and the z-axis plane, is different from the point C and has the maximum offset total;
s55 eliminating the monitoring points adjacent to D and having the same projection with C on the x-axis plane, the y-axis plane and the z-axis plane, judging the data change condition of other attitude sensors adjacent to D, if there is B of other monitoring points ETotal EGreater than BTotal DThen continue to compare with the adjacent monitoring points based on the E point until B is foundGeneral assemblyMaximum point, then BGeneral assemblyThe largest point is judged as the second dangerous point.
3. The system of claim 1, further comprising an audible and visual alarm, wherein the audible and visual alarm is activated when the edge computing terminal finds a dangerous point and cannot be communicatively connected to the control terminal.
4. The system of claim 1, wherein the attitude sensor further comprises an alarm light, and wherein the attitude sensor turns on the alarm light when the edge computing terminal finds the attitude sensor as a hazard point.
5. The system of claim 1, wherein the data sensing unit further comprises a water level monitoring sensor, a rainfall monitoring sensor and a temperature and humidity monitoring sensor.
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| CN202210119659.3A CN114157700B (en) | 2022-02-09 | 2022-02-09 | Dam reservoir safety monitoring system |
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| CN202210119659.3A CN114157700B (en) | 2022-02-09 | 2022-02-09 | Dam reservoir safety monitoring system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090119937A1 (en) * | 2007-11-13 | 2009-05-14 | Watson William S | Method and system for heading indication with drift compensation |
| CN103033159A (en) * | 2013-01-11 | 2013-04-10 | 重庆大学 | Superficial layer geological displacement monitoring and early-warning system and method |
| WO2018167918A1 (en) * | 2017-03-16 | 2018-09-20 | Ｎｅｃディスプレイソリューションズ株式会社 | Projector, method of creating data for mapping, program, and projection mapping system |
| CN108957500A (en) * | 2018-05-22 | 2018-12-07 | 中国科学院遥感与数字地球研究所 | A kind of calculation method of sensor observation sight and earth surface intersection point |
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- 2022-02-09 CN CN202210119659.3A patent/CN114157700B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090119937A1 (en) * | 2007-11-13 | 2009-05-14 | Watson William S | Method and system for heading indication with drift compensation |
| CN103033159A (en) * | 2013-01-11 | 2013-04-10 | 重庆大学 | Superficial layer geological displacement monitoring and early-warning system and method |
| WO2018167918A1 (en) * | 2017-03-16 | 2018-09-20 | Ｎｅｃディスプレイソリューションズ株式会社 | Projector, method of creating data for mapping, program, and projection mapping system |
| CN108957500A (en) * | 2018-05-22 | 2018-12-07 | 中国科学院遥感与数字地球研究所 | A kind of calculation method of sensor observation sight and earth surface intersection point |
Non-Patent Citations (1)
| Title |
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| 张艳等: "《"天绘一号"海岛（礁）影像稀少控制下的定位技术研究》", 《信息工程大学地理空间信息学院》 * |
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