CN108267510B - Wood member health monitoring system and method - Google Patents
Wood member health monitoring system and method Download PDFInfo
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- CN108267510B CN108267510B CN201810133502.XA CN201810133502A CN108267510B CN 108267510 B CN108267510 B CN 108267510B CN 201810133502 A CN201810133502 A CN 201810133502A CN 108267510 B CN108267510 B CN 108267510B
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N2291/023—Solids
- G01N2291/0238—Wood
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
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Abstract
The application provides a wood member health monitoring system and method, which relates to the technical field of wood member monitoring, wherein the system comprises a plurality of wireless acoustic emission sensor nodes and a control terminal, and the nodes comprise: an acoustic emission sensor, a first microcontroller; the acoustic emission sensor collects acoustic emission signals of the wood member; the first microcontroller extracts parameters according to the acoustic emission signals to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm, and sends the acoustic emission characteristic parameters to the control terminal to obtain a health detection result of the wood member. The application monitors the health condition of the wood member accurately in real time based on a plurality of monitoring nodes of the wireless acoustic emission sensor network, overcomes the problems of high installation and maintenance cost and poor expansibility of the monitoring system in the prior art, effectively reduces the power consumption of the wireless acoustic emission sensor nodes, prolongs the service life of a lithium battery, reduces the data transmission time and relieves the data pressure of a control terminal through a differential compression algorithm.
Description
Technical Field
The application relates to the technical field of wood member monitoring, in particular to a wood member health monitoring system and method.
Background
At present, the structure health monitoring technology is widely applied to the civil engineering fields of bridges, dams, large complex building structures and the like. For ancient buildings widely needing protection and maintenance in China and worldwide, the application and popularization of the technology have immeasurable cultural significance and economic value.
Generally, the composition of the historic building structural health monitoring system is basically consistent with that of the structural health monitoring system in a general sense, but the historic building structural health monitoring system has the characteristics that: 1. the layout of the monitoring system has small disturbance to the structural body, namely, the installation and the use of the monitoring system cannot form hidden danger to the safety of the ancient building structure. 2. The arrangement of the monitoring system does not affect the beauty of the ancient building, namely, when the monitoring system is designed, reasonable arrangement modes of equipment, circuits and the like are considered, and other decoration means which do not affect the building structure can be adopted, so that the monitoring equipment is hidden as much as possible. 3. The measured data has strong reliability, namely the durability, the reliability and the anti-interference performance of the monitoring system are strong, the monitoring system can work in severe environmental conditions, and the measurement precision always meets the requirements. 4. The construction is convenient, the disassembly and the replacement are easy, the installation and the implementation of the monitoring system are operable, and any technical action applied to the ancient building is required to be reversible.
With the development of wireless communication technology and micro-electromechanical technology in recent years, structural health monitoring based on wireless sensor networks has received a great deal of attention. However, in the existing monitoring system based on the wireless sensor network, the sensor and the system structure which are basically the same as those of the conventional structural health monitoring system are adopted, the characteristics of the wooden architecture are not specially improved, and the most widely used fiber bragg grating sensor has the advantages of stability and reliability, but the defects are obvious: a large number of wires are required to be connected, and the manufacturing cost is relatively high; is fragile, and once the lead is broken, the sensor is out of operation; the installation workload is large, the maintenance cost is high, etc.
Disclosure of Invention
In view of the above, the present application aims to provide a system and a method for monitoring health of a wood member, which are based on a plurality of monitoring nodes of a wireless acoustic emission sensor network, so as to accurately monitor health of the wood member in real time, and overcome the problems of high installation and maintenance costs and poor expansibility of the monitoring system in the prior art.
In a first aspect, an embodiment of the present application provides a wood member health monitoring system, comprising: a plurality of wireless acoustic emission sensor nodes and control terminals deployed on the wood members of the wood structure building;
the wireless acoustic emission sensor node includes: an acoustic emission sensor, a first microcontroller;
the acoustic emission sensor collects acoustic emission signals of the wood member and sends the acoustic emission signals to the first microcontroller;
the first microcontroller extracts parameters according to the acoustic emission signals to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm, and sends the acoustic emission characteristic parameters to the control terminal;
and the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, wherein the wireless acoustic emission sensor node further includes: a data acquisition module;
the data acquisition module is respectively connected with the acoustic emission sensor and the first microcontroller;
the data acquisition module is used for acquiring the acoustic emission signals of the wood component detected by the acoustic emission sensor at a high speed and transmitting the acquired signals to the first microcontroller.
With reference to the first aspect, the embodiment of the present application provides a second possible implementation manner of the first aspect, wherein the wireless acoustic emission sensor node further includes: a preamplifier, a filter;
the pre-amplifier is respectively connected with the acoustic emission sensor and the filter;
the filter is connected with the data acquisition module;
the pre-amplifier amplifies the acoustic emission signals acquired by the acoustic emission sensor and sends the amplified signals to the filter;
the filter filters the amplified signals and sends the filtered signals to the data acquisition module.
With reference to the first aspect, the embodiment of the present application provides a third possible implementation manner of the first aspect, wherein the wireless acoustic emission sensor node further includes: the first power management module and the first wireless transmission module;
the first power management module and the first wireless transmission module are respectively connected with the first microcontroller;
the first power supply management module is used for detecting a first power supply voltage value of the acoustic emission sensor and sending the first power supply voltage value to the first microcontroller;
the first microcontroller sends the first power supply voltage value to the control terminal through the first wireless transmission module.
With reference to the first aspect, an embodiment of the present application provides a fourth possible implementation manner of the first aspect, wherein the wireless acoustic emission sensor node further includes: a first data storage module;
the first data storage module is connected with the first microcontroller;
the first data storage module stores data sent by the first microcontroller; the data includes: acoustic emission signal data and acoustic emission characteristic parameter data.
With reference to the first aspect, an embodiment of the present application provides a fifth possible implementation manner of the first aspect, where the control terminal includes: a second microcontroller, an alarm device;
the second microcontroller is respectively connected with the first microcontroller and the alarm device;
the second microcontroller is used for receiving the acoustic emission characteristic parameters sent by the first microcontroller and analyzing the acoustic emission characteristic parameters to obtain a health detection result of the wood member;
the second microcontroller is also used for receiving the first power supply voltage value sent by the first microcontroller, and controlling the alarm device to alarm when the first power supply voltage value exceeds a first preset voltage threshold value.
With reference to the first aspect, an embodiment of the present application provides a sixth possible implementation manner of the first aspect, where the control terminal further includes: a second power management module,
The second power management module is connected with the second microcontroller;
the second power management module detects a second power voltage value of the control terminal, and automatically switches the lithium battery to supply power when the second power voltage value is lower than a second preset voltage threshold.
With reference to the first aspect, an embodiment of the present application provides a seventh possible implementation manner of the first aspect, where the control terminal further includes: the second wireless transmission module and the second data storage module;
the second wireless transmission module and the second data storage module are respectively connected with the second microcontroller;
the second microcontroller receives data sent by the first microcontroller through the second wireless transmission module;
and the second data storage module is used for storing the data sent by the second microcontroller.
In a second aspect, an embodiment of the present application provides a method for monitoring health of a wooden member, where the method is applied to a system composed of a plurality of wireless acoustic emission sensor nodes deployed on a wooden member of a wooden structure building and a control terminal, where the wireless acoustic emission sensor nodes include: acoustic emission sensor and microcontroller; the method comprises the following steps:
the acoustic emission sensor collects acoustic emission signals of the wood component and sends the acoustic emission signals to the microcontroller;
the microcontroller performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm and sends the acoustic emission characteristic parameters to the control terminal;
and the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters.
With reference to the second aspect, an embodiment of the present application provides a first possible implementation manner of the second aspect, where a differential compression algorithm is used to transmit the difference value of the characteristic parameter, and a flag word is added to the compressed data packet.
The embodiment of the application has the following beneficial effects:
the wood member health monitoring system provided by the embodiment of the application comprises a plurality of wireless acoustic emission sensor nodes and a control terminal, wherein the wireless acoustic emission sensor nodes are deployed on wood members of a wood structure building, and the wireless acoustic emission sensor nodes comprise: an acoustic emission sensor, a first microcontroller; the acoustic emission sensor collects acoustic emission signals of the wood member and sends the acoustic emission signals to the first microcontroller; the first microcontroller extracts parameters according to the acoustic emission signals to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm, and sends the acoustic emission characteristic parameters to the control terminal; and the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters. According to the wood member health monitoring system provided by the embodiment of the application, the health condition of the wood member is accurately monitored in real time based on the plurality of monitoring nodes of the wireless acoustic emission sensor network, the problems of high installation and maintenance cost and poor expansibility of the monitoring system in the prior art are solved, in addition, the power consumption of the wireless acoustic emission sensor nodes can be effectively reduced, the service life of a lithium battery is prolonged, the data transmission time is shortened, and the data pressure of the control terminal is relieved through a differential compression algorithm.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a wood member health monitoring system according to a first embodiment of the present application;
fig. 2 is a schematic diagram of a wood member health monitoring system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a wireless acoustic emission sensor node in a sliding wood member health monitoring system according to a first embodiment of the present application;
fig. 4 is a schematic structural diagram of a control terminal in a wood member health monitoring system according to a first embodiment of the present application;
fig. 5 is a flowchart of a method for monitoring health of a wood member according to a second embodiment of the present application;
fig. 6 is a diagram of an original data packet format in a method for monitoring health of a wood member according to a second embodiment of the present application;
fig. 7 is a data packet format diagram of a wood member health monitoring method according to a second embodiment of the present application after being processed by a differential compression algorithm;
fig. 8 is a diagram of another packet format after processing by a differential compression algorithm in a method for monitoring health of a wooden member according to a second embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
At present, the existing monitoring system based on the wireless sensor network generally adopts a fiber bragg grating sensor for monitoring, and has the advantages of stability and reliability, but the defects are obvious: a large number of wires are required to be connected, and the manufacturing cost is relatively high; is fragile, and once the lead is broken, the sensor is out of operation; the installation workload is large, the maintenance cost is high, etc.
Based on the above, the embodiment of the application provides a system and a method for monitoring the health of a wood member, which are based on a plurality of monitoring nodes of a wireless acoustic emission sensor network, so that the health condition of the wood member is monitored accurately in real time, the problems of high installation and maintenance cost and poor expansibility of the monitoring system in the prior art are overcome, in addition, the power consumption of the wireless acoustic emission sensor nodes can be effectively reduced, the service life of a lithium battery is prolonged, the data transmission time is shortened, and the data pressure of a control terminal is relieved by a differential compression algorithm.
For the sake of understanding the present embodiment, a detailed description will be given of a wood member health monitoring system disclosed in the present embodiment.
Embodiment one:
an embodiment of the present application provides a wood member health monitoring system, as shown in fig. 1, the apparatus includes: a plurality of wireless acoustic emission sensor nodes 11 and control terminals 12 deployed on the wooden structural building wooden member.
Wherein the wireless acoustic emission sensor node 11 comprises: an acoustic emission sensor 111, a first microcontroller 112; the acoustic emission sensor 111 collects acoustic emission signals of the wood member and transmits the acoustic emission signals to the first microcontroller 112; the first microcontroller 112 performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm, and sends the acoustic emission characteristic parameters to the control terminal 12; the control terminal 12 obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters.
A plurality of wireless acoustic emission sensor nodes 11 are deployed on the wooden members of the building of each wooden structure, and as shown in fig. 2, the plurality of wireless acoustic emission sensor nodes 11 (indicated by 2 in fig. 2) are respectively connected with a control terminal 12 (indicated by 1 in fig. 2) in a wireless manner. Specifically, the acoustic emission signals are acquired in real time by the acoustic emission sensor 111 in the node, then the characteristic parameters of the acoustic emission signals are extracted by the first microcontroller 112 in the node, and the extracted parameter data is transmitted to the control terminal 12 within a prescribed time. In the embodiment, the wireless acoustic emission sensor 111 is powered by a lithium battery, and continuously collects acoustic emission signals of the wood member; the control terminal 12 determines the health status of the wood member according to the parameter information of the acoustic emission signal sent by the first microcontroller 112 in the wireless acoustic emission sensor node 11.
According to the wood member health monitoring system provided by the embodiment of the application, the health condition of the wood member is accurately monitored in real time based on the plurality of monitoring nodes of the wireless acoustic emission sensor network, the problems of high installation and maintenance cost and poor expansibility of the monitoring system in the prior art are solved, in addition, the power consumption of the wireless acoustic emission sensor nodes can be effectively reduced, the service life of a lithium battery is prolonged, the data transmission time is shortened, and the data pressure of the control terminal is relieved through a differential compression algorithm.
The wood member health monitoring system based on the wireless acoustic emission sensor node 11 in the embodiment has the following advantages: 1. the dynamic property, the energy required by detection comes from the structure itself, and no external energy is needed; 2. the method is sensitive to structural defects, and can detect the activity condition of the defects under the additional structural stress; 3. real-time information of structural defects along with changes of factors such as load, time and temperature can be obtained.
The acoustic emission sensor 111 is an important part of the wood member health monitoring system and is an important factor affecting the overall performance of the device. In wood member health monitoring, resonant acoustic emission sensors 111 and broadband response acoustic emission sensors 111 are mostly used.
The main types of acoustic emission sensors 111 are: the high-sensitivity acoustic emission sensor is the most applicable resonant acoustic emission sensor; the broadband acoustic emission sensor is generally composed of a plurality of piezoelectric elements with different thicknesses, or adopts concave spherical and wedge-shaped piezoelectric elements to achieve the purpose of widening the frequency band; high temperature acoustic emission sensors, typically made of lithium niobate or lead titanate ceramics; the differential acoustic emission sensor consists of two piezoelectric elements with anode and cathode connected in difference, and outputs corresponding differential signals, which are increased by superposition; in addition, there are miniature acoustic emission sensor, magnetic adsorption acoustic emission sensor, low frequency suppression acoustic emission sensor, capacitive acoustic emission sensor, etc.
In terms of acoustic emission source positioning, in the actual wood member health monitoring process, metallic materials with stable structures are often encountered, the acoustic anisotropy of the materials is small, the acoustic attenuation coefficient is also small, and the frequency band range is mostly 25 KHz-10 MHz, so that the resonant acoustic emission sensor is more suitable.
It should be noted that, for specific situations of different monitoring nodes in the target building, different targeted acoustic emission sensors 111 may be selected for data acquisition, so that the detection accuracy and efficiency of the health condition of the wood member may be improved, and in this embodiment, the model SN510 of the acoustic emission sensor 111 is more adopted.
In a preferred embodiment, the above-mentioned wireless acoustic emission sensor node 11 further comprises: a data acquisition module 115, a pre-amplifier 113, a filter 114, see fig. 3.
Specifically, the preamplifier 113 is connected to the acoustic emission sensor 111 and the filter 114, respectively; the filter 114 is connected with the data acquisition module 115; the data acquisition modules 115 are respectively connected with the first microcontrollers 112; the pre-amplifier 113 amplifies the acoustic emission signal collected by the acoustic emission sensor 111, and sends the amplified signal to the filter 114; the filter 114 filters the amplified signal and sends the filtered signal to the data acquisition module 115; the data acquisition module 115 is used for acquiring the filtered signals at a high speed, transmitting the acquired signals to the first microcontroller 112, extracting signal parameter characteristics by the first microcontroller 112, and transmitting the extracted characteristic parameters to the control terminal so as to enable the control terminal to judge, display and alarm the health condition of the wood components.
In this embodiment, the data acquisition module 115 is a high-speed a/D data acquisition module, i.e. a chip AD7356, and the first microcontroller 112 is an ARM chip. After the wireless acoustic emission sensor node 11 of the wood member is started, acoustic emission signals of the wood member are detected in real time, and the high-speed A/D data acquisition module can be used for acquiring the acoustic emission signals at a high speed, so that the monitoring efficiency of the health condition of the wood member is greatly improved.
In another preferred embodiment, the wireless acoustic emission sensor node 11 further comprises: a first power management module 116, a first wireless transmission module 118, a first data storage module 117, as shown in fig. 3.
The first power management module 116, the first wireless transmission module 118, and the first data storage module 117 are respectively connected with the first microcontroller 112; a first power management module 116, configured to detect a first power voltage value of the acoustic emission sensor 111, and send the first power voltage value to the first microcontroller 112; the first microcontroller 112 sends the first power voltage value to the control terminal through the first wireless transmission module 118, so that the control terminal determines whether the first power voltage value exceeds a first preset voltage threshold according to the first power voltage value, and if so, alarms. The first data storage module 117 stores data transmitted by the first microcontroller 112; the data includes: acoustic emission signal data and acoustic emission characteristic parameter data.
The first wireless transmission module 118 includes, but is not limited to, a communication module such as a wireless Zigbee, loRa, NB-IOT.
In the embodiment of the application, the control terminal specifically comprises: a second microcontroller 121, an alarm device. The second microcontroller 121 is respectively connected with the first microcontroller 112 and the alarm device; the second microcontroller 121 is configured to receive the acoustic emission characteristic parameter sent by the first microcontroller 112, and analyze the acoustic emission characteristic parameter to obtain a health detection result of the wood member; the second microcontroller 121 is further configured to receive the first power voltage value sent by the first microcontroller 112, and control the alarm device to alarm when the first power voltage value exceeds a first preset voltage threshold.
The second microcontroller 121 employs an ARM chip. In another preferred embodiment, the control terminal further includes: the second power management module 122, the second wireless transmission module 124, the second data storage module 123, and the communication interface 125 are shown in fig. 4.
The second power management module 122, the second wireless transmission module 124, the second data storage module 123, and the communication interface 125 are respectively connected to the second microcontroller 121. The second power management module 122 detects a second power voltage value of the control terminal, and automatically switches the lithium battery to supply power when the second power voltage value is lower than a second preset voltage threshold. The second microcontroller 121 receives the data transmitted by the first microcontroller 112 through the second wireless transmission module 124; the second data storage module 123 is configured to store data sent by the second microcontroller 121.
The communication interface 125 includes: a USB interface and/or an RS232 interface. The second wireless transmission module 124 includes, but is not limited to, a communication module such as wireless Zigbee, loRa, NB-IOT, for example: chip SX1278.
The method for detecting the health of the wood member by using the wood member health monitoring system comprises the following steps of:
(1) Starting each wireless acoustic emission sensor node 11 in the wood member health monitoring system, collecting data, and collecting acoustic emission signals of the wood members through the acoustic emission sensors 111;
(2) Performing diagnostic algorithm processing on the acoustic emission signals through a first microcontroller 112 in the wireless acoustic emission sensor node 11;
(3) The first microcontroller 112 makes a judgment according to the above algorithm processing result, if the algorithm processing result is within a normal range, indicating that the wood member is not damaged or damaged slightly, further extracting the characteristics of the data and compressing the characteristic data, and transmitting the compressed characteristic data to the control terminal;
(4) If the algorithm processing result is not in the normal range, the first microcontroller 112 directly sends the obtained original data to the control terminal;
(5) The control terminal performs a final processing of the data sent by the first microcontroller 112 in the wireless acoustic emission sensor node 11.
The wood member health monitoring system provided by the embodiment of the application comprises a plurality of wireless acoustic emission sensor nodes 11 and a control terminal, wherein the wireless acoustic emission sensor nodes 11 are deployed on wood members of a wood structure building, and the wireless acoustic emission sensor nodes 11 comprise: an acoustic emission sensor 111, a first microcontroller 112; the acoustic emission sensor 111 collects acoustic emission signals of the wood member and transmits the acoustic emission signals to the first microcontroller 112; the first microcontroller 112 performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, and sends the acoustic emission characteristic parameters to the control terminal; and the control terminal obtains the health detection result of the wood member according to the acoustic emission characteristic parameters. The wood member health monitoring system provided by the embodiment of the application monitors the health condition of the wood member accurately in real time based on the plurality of monitoring nodes of the wireless acoustic emission sensor network, and solves the problems of high installation and maintenance cost and poor expansibility of the monitoring system in the prior art.
Embodiment two:
the embodiment of the application provides a wood member health monitoring method, which is applied to a system consisting of a plurality of wireless acoustic emission sensor nodes and a control terminal, wherein the wireless acoustic emission sensor nodes are deployed on wood members of a wood structure building and comprise: acoustic emission sensor and microcontroller. As shown in fig. 5, the method for monitoring the health of a wood member provided by the embodiment of the application comprises the following steps:
s101: the acoustic emission sensor collects acoustic emission signals of the wood component and sends the acoustic emission signals to the microcontroller;
s102: the microcontroller performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm and sends the acoustic emission characteristic parameters to the control terminal;
s103: and the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters.
The method for monitoring the health of the wood member provided by the embodiment of the application has the same technical characteristics as the wood member health monitoring system in the first embodiment, and can also realize the functions, and the detailed description is omitted.
In this embodiment, the differential compression algorithm is used to transmit the difference value of the characteristic parameters, and a flag word is added to the compressed data packet.
In most normal monitoring stages, only the difference between the current characteristic parameter and the previous characteristic parameter needs to be transmitted, and for the wireless acoustic emission sensor network, the extracted characteristic parameters are respectively amplitude, rise time, duration, ringing times, hit times and power supply, and the original data packet format is shown in fig. 6.
In the embodiment of the present application, the difference between the differential compression algorithm and the existing algorithm is that only the difference of the characteristic parameters is transmitted, and a flag word is added, where the flag word indicates whether to transmit the data of amplitude, rise time, duration, ring count, hit number and power supply, if the difference between the present characteristic parameter and the last characteristic parameter is zero, the value of the characteristic parameter is not required to be transmitted, and only the corresponding position in the flag byte is required to be zero, so the format of the data packet processed by the differential compression algorithm is shown in fig. 7.
The conventional data packet with 14 bytes needs to be transmitted, and after the data packet is processed by the differential compression algorithm, the minimum length of the data packet is 3 bytes, the maximum length of the data packet is 9 bytes, namely the maximum compression ratio is 64.3%, the minimum compression ratio is 21.4%, no data is lost, and the data of the data packet can be accurately identified for a receiving port. For example, assume that the respective eigenvalue differences are respectively: amplitude: 5.0, rise time: 2.2, duration: 4.0, ringing count: 0.0, hit times: 0.0, power: 5.9, the data packet should be as shown in fig. 8, and the data packet length is only 7 bytes, which obviously achieves the expected data compression effect.
The acoustic emission characteristic parameter data is processed by the differential compression algorithm and then sent to the control terminal, so that the power consumption of the wireless acoustic emission sensor node can be effectively reduced, the service life of a lithium battery is prolonged, the data transmission time is shortened, and the data pressure of the control terminal is relieved.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and the electronic device described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the description of the present application, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the scope of the present application, but it should be understood by those skilled in the art that the present application is not limited thereto, and that the present application is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A wood member health monitoring system, comprising: a plurality of wireless acoustic emission sensor nodes and control terminals deployed on the wood members of the wood structure building;
the wireless acoustic emission sensor node comprises: an acoustic emission sensor, a first microcontroller;
the acoustic emission sensor collects acoustic emission signals of the wood member and sends the acoustic emission signals to the first microcontroller;
the first microcontroller performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm and sends the acoustic emission characteristic parameters to the control terminal;
the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters;
the acoustic emission characteristic parameters processed by the differential compression algorithm comprise: a characteristic parameter difference value between the acoustic emission characteristic parameter extracted according to the current acoustic emission signal and the acoustic emission characteristic parameter extracted last time; the characteristic parameters include: amplitude, rise time, duration, number of rings, number of hits, and power supply; and a flag word is also added in the compressed data packet corresponding to the characteristic parameter difference value, and the flag word is used for representing whether transmission of difference value data corresponding to the characteristic parameter is performed or not.
2. The wood member health monitoring system of claim 1, wherein the wireless acoustic emission sensor node further comprises: a data acquisition module;
the data acquisition module is respectively connected with the acoustic emission sensor and the first microcontroller;
the data acquisition module is used for acquiring the acoustic emission signals of the wood component detected by the acoustic emission sensor at a high speed and sending the acquired signals to the first microcontroller.
3. The wood member health monitoring system of claim 2, wherein the wireless acoustic emission sensor node further comprises: a preamplifier, a filter;
the pre-amplifier is respectively connected with the acoustic emission sensor and the filter;
the filter is connected with the data acquisition module;
the pre-amplifier amplifies the acoustic emission signals acquired by the acoustic emission sensor and sends the amplified signals to the filter;
the filter filters the amplified signals and sends the filtered signals to the data acquisition module.
4. The wood member health monitoring system of claim 1, wherein the wireless acoustic emission sensor node further comprises: the first power management module and the first wireless transmission module;
the first power management module and the first wireless transmission module are respectively connected with the first microcontroller;
the first power supply management module is used for detecting a first power supply voltage value of the acoustic emission sensor and sending the first power supply voltage value to the first microcontroller;
the first microcontroller sends the first power supply voltage value to the control terminal through the first wireless transmission module.
5. The wood member health monitoring system of claim 1, wherein the wireless acoustic emission sensor node further comprises: a first data storage module;
the first data storage module is connected with the first microcontroller;
the first data storage module stores data sent by the first microcontroller; the data includes: acoustic emission signal data and acoustic emission characteristic parameter data.
6. The wood member health monitoring system of claim 4, wherein the control terminal comprises: a second microcontroller, an alarm device;
the second microcontroller is respectively connected with the first microcontroller and the alarm device;
the second microcontroller is used for receiving the acoustic emission characteristic parameters sent by the first microcontroller and analyzing the acoustic emission characteristic parameters to obtain the health detection result of the wood member;
the second microcontroller is also used for receiving the first power supply voltage value sent by the first microcontroller, and controlling the alarm device to alarm when the first power supply voltage value is judged to exceed a first preset voltage threshold value.
7. The wood member health monitoring system of claim 6, wherein the control terminal further comprises: a second power management module,
The second power management module is connected with the second microcontroller;
and the second power supply management module detects a second power supply voltage value of the control terminal, and automatically switches the lithium battery to supply power when the second power supply voltage value is lower than a second preset voltage threshold value.
8. The wood member health monitoring system of claim 6, wherein the control terminal further comprises: the second wireless transmission module and the second data storage module;
the second wireless transmission module and the second data storage module are respectively connected with the second microcontroller;
the second microcontroller receives the data sent by the first microcontroller through the second wireless transmission module;
and the second data storage module is used for storing the data sent by the second microcontroller.
9. The method is applied to a system consisting of a plurality of wireless acoustic emission sensor nodes and a control terminal, wherein the wireless acoustic emission sensor nodes are deployed on wood members of a wood structure building, and the wireless acoustic emission sensor nodes comprise: acoustic emission sensor and microcontroller; characterized in that the method comprises:
the acoustic emission sensor collects acoustic emission signals of the wood member and sends the acoustic emission signals to the microcontroller;
the microcontroller performs parameter extraction according to the acoustic emission signal to obtain acoustic emission characteristic parameters, processes the acoustic emission characteristic parameters through a differential compression algorithm and sends the acoustic emission characteristic parameters to the control terminal;
the control terminal obtains the health detection result of the wood member according to the processed acoustic emission characteristic parameters; the acoustic emission characteristic parameters processed by the differential compression algorithm comprise: a characteristic parameter difference value between the acoustic emission characteristic parameter extracted according to the current acoustic emission signal and the acoustic emission characteristic parameter extracted last time; the characteristic parameters include: amplitude, rise time, duration, number of rings,
hit times and power supply; a flag word is also added in the compressed data packet corresponding to the characteristic parameter difference value,
the flag word is used for representing whether transmission of difference data corresponding to the characteristic parameters is performed or not.
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| CN109580776A (en) * | 2018-10-29 | 2019-04-05 | 浙江未来技术研究院(嘉兴) | A kind of ultrasonic sensor and structural healthy monitoring system of flexible configuration |
| CN112394107A (en) * | 2020-09-16 | 2021-02-23 | 昆明理工大学 | Structural health monitoring system and method based on ZigBee wireless sensor network and piezoelectric sensor |
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