CN114608654A - Anti-seismic support safety early warning method and system based on multi-sensor network - Google Patents

Anti-seismic support safety early warning method and system based on multi-sensor network Download PDF

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CN114608654A
CN114608654A CN202210231594.1A CN202210231594A CN114608654A CN 114608654 A CN114608654 A CN 114608654A CN 202210231594 A CN202210231594 A CN 202210231594A CN 114608654 A CN114608654 A CN 114608654A
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seismic support
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damage
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sensor network
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CN114608654B (en
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成爱其
周彪
叶蒙蒙
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Jiangsu Senji Construction Engineering Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • 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
    • G08B21/18—Status alarms
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The invention provides a wireless sensor network-based anti-seismic support safety early warning method and system, and belongs to the field of target state monitoring. Through the acquisition of multidimensional sensing signals, the acquired multidimensional sensing signals are intelligently analyzed, analysis results are automatically generated through an analysis algorithm, the analysis algorithm can quickly and accurately judge whether the anti-seismic support is damaged or not and the damage level, and the damaged position can be determined according to the position of the anti-seismic support. When the anti-seismic support is generally or completely damaged, the alarm is given to the monitoring system, real-time monitoring data are provided for users, and monitoring accuracy is improved.

Description

Anti-seismic support safety early warning method and system based on multi-sensor network
Technical Field
The invention belongs to the field of target state monitoring, and particularly relates to a multi-sensor network-based anti-seismic support safety early warning method and system.
Background
The anti-seismic support is used for reinforcing building electromechanical engineering facilities such as water pipes and wire grooves, so that the damage of earthquake acting force from any horizontal direction to the building electromechanical engineering facilities in an earthquake is reduced. When the earthquake occurs to the building after earthquake resistance and reinforcement, the aims of reducing casualties and property loss can be achieved. The existing anti-seismic support is various in types, but the overall intellectualization is low at present, and the following two problems mainly exist: firstly, under the condition of no earthquake, due to factors such as metal fatigue and non-standard installation, the earthquake-proof support and the electromechanical engineering facilities supported by the earthquake-proof support fall off to hurt people, and the state of the installed earthquake-proof support cannot be monitored in real time in recent years; secondly, because the intelligent degree of antidetonation support is lower, antidetonation support crowd does not form the effect of cooperative perception, and the accuracy of safety monitoring is lower.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a high-precision and high-real-time anti-seismic support safety early warning method and system.
The invention is realized by the following technical scheme:
the anti-seismic support safety early warning method of the multi-sensor network comprises the following steps:
the anti-seismic support safety early warning system comprises a plurality of anti-seismic support nodes and a plurality of sensors fixed on a support, the sensors complete data acquisition and transmission, and the data acquisition and transmission mainly comprises the step of acquiring information sensed by the multi-sensor sensing system by using acquisition equipment. The sensor is fixed on the anti-seismic support, and the topological relation between the acquisition equipment and the sensor can be set by a person skilled in the art according to the working condition of the actual environment; the collected data can be transmitted to a data preprocessing and signal intelligent analysis early warning platform in a wireless mode through a gateway.
The sensors comprise a tension and compression sensor, an acceleration sensor and a gyroscope, and are used for acquiring sensing signals of the anti-seismic support;
the data transmission can adopt a wireless transmission mode, and meanwhile, the real-time performance, the reliability and the data transmission quality of the data transmission are ensured.
When the data are transmitted by adopting a wired method, a ZigBee, Wifi or 4G/5G-based communication protocol can be preferably adopted, the transmitted sensing signals comprise bracket numbers, tension and compression sensing signals and acceleration data in the xyz three directions, the attitude data comprise a pitch angle alpha, an azimuth angle beta and a roll angle gamma, and the sensor transmits the data to the cloud server/local platform through the gateway;
the method comprises the steps of data preprocessing, signal intelligent analysis and early warning, receiving sensor signals by a cloud server/local platform, carrying out preprocessing such as isolation, amplification, filtering and denoising, removing noise and carrying out sensor data standardization. Preprocessing the sensing signals obtained by the sensor equipment such as amplification, filtering and denoising;
after a sensing detection signal meeting certain requirements is obtained, characteristic analysis of the signal is carried out, and the earthquake-resistant support and hanger are monitored, so that the main purpose is to carry out real-time monitoring and timely early warning on the working state of the earthquake-resistant support and hanger. And obtaining the damage states of the current anti-seismic support according to characteristic analysis, wherein the damage states include normal states, general damages such as bolt looseness and the like, and structural complete damage. And automatically generating an analysis result through an analysis algorithm, establishing a relation between the state of the anti-seismic support and the characteristic parameters, judging whether the anti-seismic support is damaged or not and judging the damage level, and determining the damaged position according to the position of the anti-seismic support. When the anti-seismic support is generally or completely damaged, the monitoring system is alarmed, and display and sound alarm are carried out on a user interface.
The intelligent analysis algorithm specifically comprises the following steps:
s1, collecting various sensor signals according to a certain sampling period, preferably collecting 10 periods, and fusing the plurality of period data of each sensor after preprocessing and normalization;
s2, performing signal decomposition on the fused data of each sensor to obtain an intrinsic mode function IMF and a residual component C under each frequencySn(ii) a Each sensor is marked as
Figure BDA0003540749690000021
Wherein Sn represents the nth sensor of the seismic supportAnd represents the order of the mode function.
S3: calculating damage values for the natural mode functions and the residual components:
Figure BDA0003540749690000022
where IMF is the modal function value, t is the sampling time, CSnIs the residual component, n is the number of sensors, i is the number of modes;
s4: calculating the damage degree DL according to the damage index DV, wherein the DL adopts the following calculation formula:
Figure BDA0003540749690000031
wherein DVIs normalReference value, DV, representing the normal state of the anti-seismic supportAt presentAnd the damage value acquired by the sensor in the detection state is represented, the greater the DL value is, the more serious the damage of the anti-seismic support is, the smaller the DL value is, the smaller the damage degree of the anti-seismic support is, whether the damage and the damage level of the anti-seismic support occur is judged according to the DL value, and the damaged position is determined according to the position of the anti-seismic support.
In addition, the application also provides a computing device and a computer-readable storage medium corresponding to the anti-seismic support safety early warning method based on the wireless sensor network, and the computing device and the computer-readable storage medium are characterized by comprising a processor and a memory, wherein the memory stores computer-executable instructions capable of being executed by the processor, and the processor executes the computer-executable instructions to realize the anti-seismic support safety early warning method. The computer-executable instructions, when invoked and executed by a processor, cause the processor to implement the processing methods described above.
Compared with the prior art, the invention has the beneficial effects that: the application can automatically generate an analysis result through an intelligent analysis algorithm by multi-dimensional sensing signal acquisition, and the analysis algorithm can quickly and accurately judge whether the anti-seismic support is damaged or not, damage level and determine the damaged position according to the anti-seismic support position. When the anti-seismic support is generally or completely damaged, an alarm is given to the monitoring system, and real-time monitoring and related data are provided for a user.
Drawings
Fig. 1 is a schematic view of the seismic support monitoring system of the present application.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
the anti-seismic support safety early warning system and method of the multi-sensor network comprise the following steps:
as can be known by combining the attached drawing 1, the anti-seismic support safety early warning system comprises a plurality of anti-seismic support nodes and a plurality of sensors fixed on a support, the plurality of sensors complete data acquisition and transmission, the data transmission mainly transmits information sensed by the multi-sensor sensing system and comprises a controller and a sending module. The sensor is fixed on the anti-seismic support, and the topological relation between the acquisition equipment and the sensor can be set by a person skilled in the art according to the working condition of the actual environment; the collected data can be transmitted to a data preprocessing and signal intelligent analysis early warning platform in a wireless mode through a gateway.
The sensors comprise a tension and compression sensor, an acceleration sensor and a gyroscope, and are used for acquiring sensing signals of the anti-seismic support;
the data transmission can adopt a wireless transmission mode, and meanwhile, the real-time performance, the reliability and the data transmission quality of the data transmission are ensured.
When the data are transmitted by adopting a wired method, a ZigBee, Wifi or 4G/5G-based communication protocol can be preferably adopted, the transmitted sensing signals comprise bracket numbers, tension and compression sensing signals and acceleration data in the xyz three directions, the attitude data comprise a pitch angle alpha, an azimuth angle beta and a roll angle gamma, and the sensor transmits the data to the cloud server/local platform through the gateway;
the method comprises the steps of data preprocessing, signal intelligent analysis and early warning, receiving sensor signals by a cloud server/local platform, carrying out preprocessing such as isolation, amplification, filtering and denoising, removing noise and carrying out sensor data standardization. Preprocessing the sensing signals obtained by the sensor equipment such as amplification, filtering, denoising and the like;
after a sensing detection signal meeting certain requirements is obtained, characteristic analysis of the signal is carried out, and the earthquake-resistant support and hanger are monitored, so that the working state of the earthquake-resistant support and hanger can be monitored in real time and early warning can be timely carried out. And obtaining the damage states of the current anti-seismic support according to characteristic analysis, wherein the damage states include normal states, general damages such as bolt looseness and the like, and structural complete damage. And automatically generating an analysis result through an analysis algorithm, establishing a relation between the state of the anti-seismic support and the characteristic parameters, judging whether the anti-seismic support is damaged or not and judging the damage level, and determining the damaged position according to the position of the anti-seismic support. When the anti-seismic support is generally or completely damaged, the monitoring system is alarmed, and display and sound alarm are carried out on a user interface.
The intelligent analysis algorithm specifically comprises the following steps:
s1, collecting various sensor signals according to a certain sampling period, preferably collecting 10 periods, and fusing the plurality of period data of each sensor after preprocessing and normalization;
s2, performing signal decomposition on the fused data of each sensor to obtain an intrinsic mode function IMF and a residual component C under each frequencySn(ii) a Each sensor is marked as
Figure BDA0003540749690000051
Wherein Sn represents the nth sensor of the seismic support and represents the order of the modal function.
S3: calculating damage values for the natural mode functions and the residual components:
Figure BDA0003540749690000052
where IMF is the modal function value, t is the sampling time, CSnIs the residual component, n is the number of sensors, i is the number of modes; preferably, n is 3 and i is 4.
S4: calculating the damage degree DL according to the damage index DV, wherein the DL adopts the following calculation formula:
Figure BDA0003540749690000053
wherein DVIs normalAnti-seismic supportReference value in the normal state, DVAt presentAnd the damage value acquired by the sensor in the detection state is represented, the greater the DL value is, the more serious the damage of the anti-seismic support is, the smaller the DL value is, the smaller the damage degree of the anti-seismic support is, whether the damage and the damage level of the anti-seismic support occur is judged according to the DL value, and the damaged position is determined according to the position of the anti-seismic support.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, unless otherwise specified, the terms "upper", "lower", "left", "right", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Finally, it should be noted that the above-mentioned technical solution is only one embodiment of the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be easily made based on the application method and principle of the present invention disclosed, and the method is not limited to the above-mentioned specific embodiment of the present invention, so that the above-mentioned embodiment is only preferred, and not restrictive.

Claims (8)

1. A multi-sensor network based anti-seismic support safety early warning method is characterized by comprising the following steps:
data acquisition is completed through a plurality of sensors fixed on a plurality of anti-seismic support nodes, wherein the sensors comprise tension and compression sensors, acceleration sensors and gyroscopes; the acquired sensing signals are transmitted to a data preprocessing and signal intelligent analysis early warning platform in a wireless mode through a gateway; the data preprocessing and signal intelligent analysis early warning platform executes the following analysis steps:
s1, collecting the signals of the sensors according to a certain sampling period, and fusing the preprocessed and normalized data of multiple periods of each sensor;
s2, performing signal decomposition on the fused data of each sensor to obtain an intrinsic mode function IMF and a residual component C under each frequencySn(ii) a Each sensor is noted as
Figure FDA0003540749680000011
Wherein Sn represents the nth sensor of the anti-seismic support and represents the order of the mode function;
s3: calculating damage values for the natural mode functions and the residual components:
Figure FDA0003540749680000012
where IMF is the modal function value, t is the sampling time, CSnIs the residual component, n is the number of sensors, i is the number of modes;
s4: calculating the damage degree DL according to the damage index DV, wherein the DL adopts the following calculation formula:
Figure FDA0003540749680000013
wherein DVIs normalRepresenting the reference value, DV, of the anti-seismic support in the normal stateAt presentAnd the damage value acquired by the sensor in the detection state is represented, the greater the DL value is, the more serious the damage of the anti-seismic support is, the smaller the DL value is, the smaller the damage degree of the anti-seismic support is, whether the damage and the damage level of the anti-seismic support occur is judged according to the DL value, and the damaged position is determined according to the position of the anti-seismic support.
2. The multi-sensor network anti-seismic support safety precaution method according to claim 1, characterized in that: the transmitted sensing signals comprise support serial numbers, tension and compression sensing signals, acceleration data and attitude data in the xyz three directions, wherein the acceleration data and the attitude data comprise a pitch angle alpha, an azimuth angle beta and a roll angle gamma.
3. The multi-sensor network anti-seismic support safety precaution method according to claim 1, characterized in that: when the wired method is used for transmission, one of ZigBee, Wifi or 4G/5G communication protocols can be adopted.
4. The multi-sensor network anti-seismic support safety precaution method according to claim 1, characterized in that: the preprocessing comprises amplification, filtering and denoising.
5. The multi-sensor network anti-seismic support safety precaution method according to claim 1, characterized in that: in step 3, the parameter n is 3, and the parameter i is 4.
6. The multi-sensor network anti-seismic support safety precaution method according to claim 1, characterized in that: when the anti-seismic support is generally or completely damaged, the monitoring system is alarmed, and display and sound alarm are carried out on a user interface.
7. A computer device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 6.
8. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 6.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115550869A (en) * 2022-10-10 2022-12-30 三峡大学 Efficient sensor signal acquisition and processing device and processing method thereof

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115550869A (en) * 2022-10-10 2022-12-30 三峡大学 Efficient sensor signal acquisition and processing device and processing method thereof

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