CN114608654B - 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 PDFInfo
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- CN114608654B CN114608654B CN202210231594.1A CN202210231594A CN114608654B CN 114608654 B CN114608654 B CN 114608654B CN 202210231594 A CN202210231594 A CN 202210231594A CN 114608654 B CN114608654 B CN 114608654B
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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
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-proof reinforcement, the purposes 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, the anti-seismic support is low in intelligence degree, and the anti-seismic support group does not form the effect of cooperative sensing, so that the safety monitoring accuracy is low.
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 sensors are fixed on the anti-seismic support, and the topological relation between the acquisition equipment and the sensors 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 wireless transmission method is adopted for transmission, a ZigBee, wifi or 4G/5G-based communication protocol can be preferably adopted, the transmitted sensing signals comprise a bracket number, a tension and compression sensing signal and acceleration data in the xyz three directions, the attitude data comprises 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 a plurality of period data of each sensor after pretreatment 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 frequency Sn (ii) a Each sensor is noted as
Wherein Sn represents the nth sensor of the seismic support and represents the order of the modal function.
S3: calculating a damage index for the natural mode function and the residual component:
where IMF is the modal function value, t is the sampling time, C Sn Is the residual component, n is the number of sensors, i is the order of the mode function;
s4: calculating the damage degree DL according to the damage index DV, wherein DL adopts the following calculation formula:
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. When invoked and executed by a processor, the computer-executable instructions 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 a plurality of period data of each sensor after preprocessing and normalization;
s2, decomposing the signal of the fused data of each sensor,obtaining intrinsic mode function IMF and a residual component C at each frequency Sn (ii) a Each sensor is marked as
Wherein Sn represents the nth sensor of the seismic support and represents the order of the modal function.
S3: calculating a damage index for the natural mode function and the residual component:
where IMF is the modal function value, t is the sampling time, C Sn Is the residual component, n is the number of sensors, i is the order of the mode function; preferably n =3,i =4.
S4: calculating the damage degree DL according to the damage index DV, wherein the DL adopts the following calculation formula:
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 various sensor signals according to a certain sampling period, and fusing the preprocessed and normalized multiple period data 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 frequency Sn (ii) a Each sensor is noted as
Wherein Sn represents the nth sensor of the anti-seismic support, and i represents the order of the mode function;
s3: calculating a damage index for the natural mode function and the residual component:
where IMF is the modal function value, t is the sampling time, C Sn Is the residual component, n is the number of sensors, i is the order of the mode function;
s4: calculating the damage degree DL according to the damage index DV, wherein the DL adopts the following calculation formula:
wherein DV Is normal and normal Reference value, DV, representing the normal state of the anti-seismic support At present And the damage index acquired by the sensor in the detection state is represented, when the DL is larger, the damage of the anti-seismic support is more serious, and when the DL value is smaller, the damage degree of the anti-seismic support is smaller, 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 anti-seismic support position.
2. An anti-seismic support safety precaution method of a multi-sensor network, according to claim 1, characterized by: the transmitted sensing signals comprise support serial numbers, tension and compression sensing signals, acceleration data and posture data in the xyz directions, wherein the acceleration data and the posture data comprise a pitch angle alpha, an azimuth angle beta and a rolling angle gamma.
3. An anti-seismic support safety precaution method of a multi-sensor network, according to claim 1, characterized by: and when the wireless mode is used for transmission, one of ZigBee, wifi or 4G/5G communication protocols is adopted.
4. An anti-seismic support safety precaution method of a multi-sensor network, according to claim 1, characterized by: the preprocessing comprises amplification, filtering and denoising.
5. An anti-seismic support safety precaution method of a multi-sensor network, according to claim 1, characterized by: in step 3, the parameter n =3,i =4.
6. An anti-seismic support safety precaution method of a multi-sensor network, according to claim 1, characterized by: 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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