CN210603682U - Anchor stress monitoring system based on internet - Google Patents
Anchor stress monitoring system based on internet Download PDFInfo
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- CN210603682U CN210603682U CN201921242289.2U CN201921242289U CN210603682U CN 210603682 U CN210603682 U CN 210603682U CN 201921242289 U CN201921242289 U CN 201921242289U CN 210603682 U CN210603682 U CN 210603682U
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Abstract
The utility model provides an ground tackle stress monitoring system based on internet, including stress sensor, information joint unit, gateway unit, high in the clouds server and user side of gathering, the information joint unit of gathering passes through wireless communication and treats that the stress sensor in the monitoring area is connected, monitors each stress sensor's the battery powered condition and the stress data acquisition condition to and handle the data that each stress sensor gathered, and cooperate corresponding stress sensor ad hoc network, finally launch the gateway with each sensor node relevant stress data, the gateway launches to the high in the clouds platform, finally sends the user side. The related measuring points can operate in a severe or even dangerous environment where people are not easy to approach for a long time, and a monitoring system capable of working for a long time, being unattended and having big data internet of things is formed.
Description
Technical Field
The utility model belongs to the technical field of stress monitoring system and specifically relates to an ground tackle stress monitoring system based on internet is related to.
Background
The prestressed anchor cable is a main technical means for reinforcing a high and steep slope retaining, is applied to various constructions such as roads, bridges, buildings, mines and the like in a large scale at present, takes Guangdong province as an example, the total length of the anchor cable used in 1997 and 2007 in ten years exceeds 100 million linear meters, and along with further development of the national economy field and development of China all the way, the application scale can be developed in a larger scale. The anchor stress is changed under the combined action of anchor soil and the action of environmental geological conditions and metal corrosion on anchor cable materials, so that the long-term service performance of the anchor cable is influenced, and in order to ensure the safety of engineering, the anchor cable stress is monitored at first.
At present, the two types of popular mature detection technologies used at home and abroad are as follows: firstly, a drawing method is adopted, namely, a drawing oil cylinder capable of being stressed is additionally arranged for selecting the anchor cable, and the existing drawing force of the anchor cable is manually detected; and secondly, a vibrating wire or strain type dynamometer is additionally arranged and is sealed together with the anchorage device when the anchor cable is installed for the first time, and manual reading analysis is carried out by an instrument in the future. The two methods are time-consuming and labor-consuming in manual operation, and the operation cost is high, so that the two methods cannot be widely adopted. Therefore, the existing standard can only carry out sampling test on 5% of slope anchor points, the number of measuring points and the monitoring period are very limited, and how to enlarge the capacity of the monitoring points and establish the large data system for remote automatic monitoring is beneficial to not only a new project but also an in-service project exceeding the detection period. In a word, stress monitoring on the prestress of the anchor cable is the focus of most concern of hot spots and construction operation and management departments in the related academia at present.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the problems in the prior art and provides an anchorage device stress monitoring system based on the internet,
the utility model adopts the technical scheme as follows:
an internet-based anchor stress monitoring system, comprising:
the stress sensor is arranged on an anchor cable of the area to be monitored, and a wireless signal transmission module is arranged on the stress sensor;
the stress sensor monitoring system comprises an information combined gathering unit, a stress sensor self-organizing unit and a stress sensor self-organizing unit, wherein the information combined gathering unit is connected with the stress sensors in a region to be monitored through wireless communication, monitors the battery power supply condition and the stress data acquisition condition of each stress sensor, processes the data acquired by each stress sensor, and cooperates with the corresponding stress sensor self-organizing network;
the gateway unit is connected with the stress sensors in a networking manner to collect stress data collected by the stress sensors and sends the collected stress data to the stress sensors through a wireless network
A cloud server sending the collected stress data to
And the user side is used for facilitating the user to monitor and process the collected stress data at the user side.
Further, the stress sensor comprises a power supply battery, an MCU and a wireless signal transmission module, wherein the wireless signal transmission module is a LORAWAN module.
Furthermore, the stress sensor is of an annular structure and is sleeved on the anchor cable through an annular hole of the stress sensor.
Further, the power supply battery adopts an ER26500 disposable lithium battery.
Further, the information combination and summary unit and the stress sensor are wirelessly connected through a radio frequency band.
Furthermore, the ad hoc network among the sensors includes a step-by-step networking, a hop-by-step networking and a multi-hop-by-step networking.
Further, the gateway unit is provided with 8 channels, and each channel can simultaneously receive and transmit a plurality of data.
Further, the gateway unit is powered by alternating current or solar panels or storage batteries.
The utility model has the advantages that:
the utility model relates to an ground tackle stress monitoring system based on internet is treating the open radio frequency channel of monitoring area closely information jointly to gather, assembles each stress measurement node data, realizes ground tackle stress data acquisition and the basic processing of the relevant data of sensor to different stress sensor ad hoc networks in coordination, finally with the relevant stress data transmission of each sensor node gateway, the gateway is launched to the high in the clouds platform, finally sends the user side. The related measuring points can operate in a severe or even dangerous environment where people are not easy to approach for a long time, and a monitoring system capable of working for a long time, being unattended and having big data internet of things is formed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings, there is shown in the drawings,
FIG. 1: the embodiment of the utility model provides an anchor stress monitoring system's based on internet structure block diagram;
FIG. 2: the embodiment of the utility model provides an internet-based structural diagram of a stress sensor of an anchorage device stress monitoring system;
FIG. 3: the embodiment of the utility model provides an internet-based stress sensor step-by-step networking schematic diagram of an anchorage device stress monitoring system;
FIG. 4: the embodiment of the utility model provides an internet-based stress sensor of anchorage device stress monitoring system jumps level network deployment sketch map;
FIG. 5: the embodiment of the utility model provides an in internet based ground tackle stress monitoring system's stress sensor multi-hop level network deployment sketch map.
Names and designations of parts
100. A stress sensor; 200. an information joint summarizing unit; 300. a gateway unit; 400. a cloud server; 500. a user side; 101. a wireless signal transmission module; 102. MCU; 103. and a power supply battery.
Detailed Description
The following detailed description of the embodiments of the present invention will be made with reference to the accompanying drawings. It is to be understood that the description of the embodiments herein is for purposes of illustration and explanation only and is not intended to limit the invention.
Referring to fig. 1-5, an embodiment of the present invention discloses an internet-based anchor stress monitoring system, including: the stress sensor 100 is arranged on an anchor cable of an area to be monitored, and a wireless signal transmission module 101 is arranged on the stress sensor 100; the stress sensor monitoring system comprises an information combined gathering unit 200, wherein the information combined gathering unit 200 is connected with stress sensors 100 in an area to be monitored through wireless communication, monitors the battery power supply condition and the stress data acquisition condition of each stress sensor 100, processes data acquired by each stress sensor 100, and cooperates with a corresponding stress sensor 100 ad hoc network; the gateway unit 300 is connected with the stress sensors 100 in a networking manner to collect stress data collected by the stress sensors, and sends the collected stress data to the cloud server 400 through a wireless network, and the cloud server 400 sends the collected stress data to the user terminal 500, so that the user can monitor and process the collected stress data at the user terminal 500.
The stress sensor 100 is used for detecting stress parameters on the anchor cable, and therefore, the stress sensor 100 comprises a power supply battery 103, an MCU102 and a wireless signal transmission module 101, and the wireless signal transmission module 101 is a LORAWAN module.
The main body of the stress sensor 100 is designed to be an annular structure, and the anchor cable is sleeved with the annular hole of the main body, so that the stress sensor 100 can be conveniently installed during arrangement. Specifically, the stress sensor 100 adopts a small-size design of phi 70 phi 90 phi 15mm, the measuring range is 20-200T, 0.5-1mv/v is output, the comprehensive precision is less than +/-1%, the resolution is greater than 0.1% FS, and IP6 and 7-level protection can be realized.
The power supply battery 103 is used for supplying power for operation of the stress sensor 100, including detection power, MCU102 power for operation, and wireless signal transmission module 101 power for operation. The power supply battery 103 adopts an ER26500 disposable lithium battery, and has the output voltage of 3.6V and the capacitance of 9000 mAh; the ER26500 disposable lithium battery is a novel thick-film sensitive element, the size of the thick-film sensitive element is 5 × 8 × 0.1mm, the internal resistance is 20-70 Komega, the sensitivity coefficient GF is 10, the working temperature is-20-80 ℃, and the working strain is 400 × 10-6. The power supply battery 103 and the signal antenna can be completely loaded in a waterproof box with the inner size of 60 × 6 × 30mmIP6 and grade 8, are arranged near the anchoring end or are externally arranged on the antenna, and are fixedly sealed in the cement anchor head.
The wireless signal transmission module 101 is a LORAWAN module. The LORAWAN is a Low Power Wide Area Network (LPWAN) which is one of wireless internet of things technologies, and compared with the traditional wireless technologies such as WiFi at 2.4GHz, bluetooth, Zigbee and the like, the LORAWAN has the advantages of maximally realizing longer-distance communication and lower Power consumption, and saving additional cost of a repeater. Because LORA is a new technology of a low-power-consumption wide area network (LPWAN), has the characteristics of low-cost spread spectrum anti-interference, micro-power consumption, unique network key guarantee of use safety and the like, is the best choice in low-speed 0.3-37.5kbps transmission, belongs to an ad hoc network mode and can provide corresponding transparent software service, the GWM has 2000 access nodes, and the number of monitoring nodes is more than 100 ten thousand, thereby being capable of conveniently realizing monitoring, upgrading and transforming the internet of things of anchorage stress. Therefore, the stress sensor 100 using the LORAWAN module has a low power consumption characteristic, and is more suitable for long-term monitoring.
The LORAWAN module is internally provided with an STM32L0CPU, realizes a LORAWAN1.0 protocol, supports CLASSA, B, C, FSK, GFSK and other modulation, works in the 433 plus 915MHZ open frequency-168 db dynamic range, has the power supply voltage of 3.3V, outputs +/-20 dbm, has the sensitivity of-147 dbm and low transmitting current, has the communication distance with a gateway of more than 1.8KM, has the size of 27 plus 23 plus 2.5mm and has the working temperature of-40-85 ℃.
The MCU102 is a master control system of the stress sensor 100, and comprises a sensor front signal regulator, wherein G is 1000 (adjustable), an ST ARM32bit and STM-3240 micro-power consumption single chip microcomputer are adopted to realize A/D conversion and SPI serial port output, and the software also has the functions of zero tracking, creep compensation, calibration coefficient input and the like.
The information combination and summary unit 200 and the stress sensor 100 are wirelessly connected through a radio frequency band, which is a frequency adapted to the operating frequency band of the LORAWAN module, namely 433-. The information joint gathering unit 200 gathers the data of the sensors and then transmits the data through the gateway unit 300, so that the data receiving and transmitting efficiency is improved.
The information combined collecting unit 200 cooperates with the corresponding stress sensor 100 ad hoc network, which means that the information combined collecting unit 200 is connected with parts of the stress sensors 100, and the rest stress sensors 100 which are not directly connected with the information combined collecting unit 200 are connected with the ad hoc network between the sensors to indirectly realize data transmission. It is understood that the information joint summary unit 200 preferably selects to connect with the sensors nearby and having high signal strength, and then connects the remaining sensors far away with each other by means of ad hoc network.
The ad hoc network among the sensors comprises a step-by-step networking, a skip-level networking and a multi-skip-level networking. The step-by-step networking refers to sequential networking between adjacent sensors; the skip level networking refers to networking connection between two sensors which are separated by one sensor, so that the skip level networking is suitable for the situation that the skipped sensors are failed and cannot be networked; the multi-hop-level networking refers to networking between two sensors spaced by more than two sensors, and similarly, the multi-hop-level networking is applicable to the situation that the skipped sensors are failed and cannot be networked.
The gateway unit 300 has 8 channels, and each channel can simultaneously transmit and receive a plurality of data. In addition, the gateway unit 300 can be expanded to a star network, the self link rate can be adjusted, the frequency of the gateway unit and the sensor node can reach 10 ten thousand indexes, the frequency supports 433 + 915MHZ open frequency band, the return mode comprises LAN 1, 4G modules and the like, the link sensitivity is-157 dbm, the transmitting power is 27dbm, the distance is more than 1.5KM, the working temperature is-40- +85 ℃, the product size is as follows: 250 x 230 x 970 mm. The gateway unit 300 is powered by alternating current or solar panel or storage battery to ensure abundant use of electric quantity of the network management.
To sum up, the utility model relates to an anchorage device stress monitoring system based on internet is waiting that the open radio frequency channel of monitoring area close range information jointly gathers, assembles each stress measurement node data, realizes the basic processing of anchorage device stress data collection and the relevant data of sensor to different stress sensor 100 in coordination are from the network deployment, finally with the relevant stress data transmission of each sensor node to the gateway, the gateway transmission is to high in the clouds platform, finally sends user 500. The related measuring points can operate in a severe or even dangerous environment where people are not easy to approach for a long time, and a monitoring system capable of working for a long time, being unattended and having big data internet of things is formed.
As long as the idea created by the present invention is not violated, various different embodiments of the present invention can be arbitrarily combined, and all the embodiments should be regarded as the content disclosed by the present invention; the utility model discloses an in the technical conception scope, carry out multiple simple variant and different embodiments to technical scheme and go on not violating the utility model discloses the arbitrary combination of the thought of creation all should be within the protection scope.
Claims (8)
1. An internet-based anchor stress monitoring system, comprising:
the stress sensor is arranged on an anchor cable of the area to be monitored, and a wireless signal transmission module is arranged on the stress sensor;
the stress sensor monitoring system comprises an information combined gathering unit, a stress sensor self-organizing unit and a stress sensor self-organizing unit, wherein the information combined gathering unit is connected with the stress sensors in a region to be monitored through wireless communication, monitors the battery power supply condition and the stress data acquisition condition of each stress sensor, processes the data acquired by each stress sensor, and cooperates with the corresponding stress sensor self-organizing network;
the gateway unit is connected with the stress sensors in a networking manner to collect stress data collected by the stress sensors and sends the collected stress data to the stress sensors through a wireless network
A cloud server sending the collected stress data to
And the user side is used for facilitating the user to monitor and process the collected stress data at the user side.
2. The internet-based anchor stress monitoring system of claim 1, wherein the stress sensor comprises a power supply battery, an MCU, and a wireless signal transmission module, the wireless signal transmission module being a LORAWAN module.
3. The internet-based anchor stress monitoring system of claim 2, wherein the stress sensor is configured as an annular structure that is sleeved over the anchor cable through an annular hole thereof.
4. The internet-based anchor stress monitoring system of claim 2, wherein the power supply battery is an ER26500 disposable lithium battery.
5. The internet-based anchor stress monitoring system of claim 1, wherein the information joint aggregation unit is wirelessly connected to the stress sensor via a radio frequency band.
6. The internet-based anchorage stress monitoring system of claim 1, wherein the ad hoc network among the stress sensors comprises a step-by-step network, a hop-by-step network and a multi-hop-by-step network.
7. The internet-based anchor stress monitoring system of claim 1, wherein the gateway unit is configured with 8 channels, each channel being capable of simultaneously transceiving multiple data.
8. The internet-based anchorage stress monitoring system of claim 1, wherein the gateway unit is powered by alternating current or solar panels or batteries.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201921242289.2U CN210603682U (en) | 2019-08-01 | 2019-08-01 | Anchor stress monitoring system based on internet |
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| CN201921242289.2U CN210603682U (en) | 2019-08-01 | 2019-08-01 | Anchor stress monitoring system based on internet |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111766009A (en) * | 2020-07-29 | 2020-10-13 | 广西交科集团有限公司 | Bridge inhaul cable force increment measuring device and measuring method |
| CN111855061A (en) * | 2020-07-29 | 2020-10-30 | 广西交科集团有限公司 | Bridge inhaul cable force increment accurate measurement device and measurement method |
| CN114691463A (en) * | 2022-04-20 | 2022-07-01 | 北京建工集团有限责任公司 | Cloud-based structural health monitoring and evaluating method and system and storage medium |
-
2019
- 2019-08-01 CN CN201921242289.2U patent/CN210603682U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111766009A (en) * | 2020-07-29 | 2020-10-13 | 广西交科集团有限公司 | Bridge inhaul cable force increment measuring device and measuring method |
| CN111855061A (en) * | 2020-07-29 | 2020-10-30 | 广西交科集团有限公司 | Bridge inhaul cable force increment accurate measurement device and measurement method |
| CN114691463A (en) * | 2022-04-20 | 2022-07-01 | 北京建工集团有限责任公司 | Cloud-based structural health monitoring and evaluating method and system and storage medium |
| CN114691463B (en) * | 2022-04-20 | 2022-11-11 | 北京建工集团有限责任公司 | Cloud-based structural health monitoring and evaluating method and system and storage medium |
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Granted publication date: 20200522 |