CN111256753A - Intelligent collapse monitoring device and monitoring method thereof - Google Patents
Intelligent collapse monitoring device and monitoring method thereof Download PDFInfo
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- CN111256753A CN111256753A CN202010024001.5A CN202010024001A CN111256753A CN 111256753 A CN111256753 A CN 111256753A CN 202010024001 A CN202010024001 A CN 202010024001A CN 111256753 A CN111256753 A CN 111256753A
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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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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention relates to an intelligent collapse monitoring device and a monitoring method thereof in the technical field of disaster prevention and reduction equipment.A combined sensor is arranged in a source area of a collapse area and used for monitoring the deformation, the inclination angle and the change of internal infrasound of a collapse body; the monitoring and early warning terminal analyzes and processes data collected by the sensor, an alarm program is started immediately when the collected data reach a threshold value, on-site acousto-optic alarm can be performed, the data are sent to the client side through the wireless communication module, accurate early warning is resolved according to the rear end, local residents are informed in a short message or telephone mode, casualties and property loss are avoided, the intelligent collapse monitoring device supports remote configuration of the sensor, detection factors of collapse bodies in complex mountainous areas are comprehensive, equipment power consumption is low, transmission timeliness is good, and data are not prone to losing packets.
Description
Technical Field
The invention belongs to the technical field of disaster prevention and reduction equipment, and particularly relates to an intelligent collapse monitoring device and a monitoring method thereof.
Background
Collapse is one of the most common natural disasters in mountainous areas, and means that rock masses and soil bodies on steep hills generate sudden and sharp falling movement under the action of gravity. The monitoring of mountain collapse is to monitor the inner fracture condition of the mountain rock through the technology, and the trend of mountain collapse is predicted by combining the external deformation and the inclination degree, and the early warning alarm is given out before the mountain collapse, so that the loss of lives and properties is avoided.
People in China have high density, and many villages are located in complex mountain environments. In addition, many important roads and railways in China are built by leaning against mountains, the collapse beside the roads in mountainous areas is often distributed in a belt shape, and the roads and railways beside the mountainous areas can be damaged when the collapse occurs, so that great potential safety hazards exist in transportation and great economic losses are caused. The collapse near villages can damage residential sites and seriously threaten life and property safety. From the past manual monitoring to the present automatic monitoring, the detection technology of China makes a series of progress. However, for monitoring collapse in a complex mountain area, the current acquisition sensor is single in equipment and incomplete in information. Therefore, how to accurately monitor various factors before the collapse of the mountain in the complex mountain area is a key for preventing the collapse of the collapsed mountain. In addition, in a complex mountain area environment, the traditional transmission mode is poor in real-time performance, data are dropped, power consumption is high, the requirements of real-time monitoring, early warning and prevention and control of collapse disasters in the complex mountain area cannot be met, and monitoring and management are not convenient. Therefore, the problem to be solved is how to reduce the power consumption of the monitoring device in the complex mountain area environment and improve the fidelity of the monitored data.
Disclosure of Invention
The invention provides an intelligent collapse monitoring device and an intelligent collapse monitoring method, and aims to solve the problems that detection factors for collapsed bodies in complex mountainous areas are single, the power consumption of equipment is high, the real-time performance of transmission is poor, data is prone to losing packets and the like in the technical field of existing disaster prevention and reduction equipment.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in a first aspect, the invention provides an intelligent collapse monitoring device, which comprises a combined sensor, a monitoring and early warning terminal, a wireless communication module, an audible and visual alarm module, a power supply module and a cloud server, wherein the combined sensor is arranged in a collapse source region, the monitoring and early warning terminal is used for collecting and processing data measured by the combined sensor and judging whether a collapse threshold value is reached, the combined sensor is connected to the monitoring and early warning terminal through a data line, the monitoring and early warning terminal is respectively connected with the audible and visual alarm module and the cloud server module, the monitoring and early warning terminal converts a data signal reaching early warning into an alarm signal and sends the alarm signal to the audible and visual alarm module, the monitoring and early warning terminal sends the collected and processed data to the cloud server through the wireless communication module, and the cloud server processes and stores the data sent by the monitoring and early warning terminal in detail, the power supply module is used for supplying electric energy to the combined sensor, the monitoring and early warning terminal and the wireless communication module.
Preferably, the combined sensor comprises a displacement sensor for measuring the collapse macroscopic displacement amount, an inclination angle sensor for measuring the collapse inclination change and an infrasonic sensor for measuring infrasonic waves generated by collapse internal damage, and the displacement sensor, the inclination angle sensor and the infrasonic sensor are respectively connected with the monitoring and early warning terminal.
Preferably, the monitoring and early warning terminal comprises an ADC converter for acquiring the measurement information of the combined sensor and converting the measurement information into a digital signal, a microprocessor for calculating, processing, comparing and outputting an alarm signal, and a memory for storing the measurement information of the combined sensor, wherein the ADC converter is in signal connection with the combined sensor, and the memory is in signal connection with the ADC converter through the microprocessor.
Preferably, the wireless communication module is NB-IoT, the wireless communication module is connected to the monitoring and early warning terminal, the sound and light alarm module and the cloud server, the wireless communication module sends a sound and light alarm instruction to the sound and light alarm module in time, and the wireless communication module sends the original data collected by the monitoring and early warning terminal to the cloud server without an interval of half an hour.
Preferably, the sound and light alarm module is installed on a collapse site, the sound and light alarm module reminds the site by receiving an instruction of the monitoring and early warning terminal, the power supply module comprises a solar panel, a charging controller and a lithium battery, and the power supply module supplies power for the combined sensor, the monitoring and early warning terminal and the wireless communication module.
Preferably, the cloud server is an Ali cloud server, the cloud server with wireless communication module communication connection, the cloud server receives wireless communication module's data and handle it, preserve, show the result of handling through the mode of cell-phone APP or PC computer, the cloud server carries out the fusion analysis with displacement acceleration value, inclination acceleration value and sound wave detection signal under the circumstances of preserving microprocessor mode to the processing principle of data, and the processing result supplies the user to look over long-rangely.
In a second aspect, the present invention provides an intelligent collapse monitoring method, which includes the following steps adopted by an intelligent collapse monitoring device:
s1, installing a plurality of combined sensors in the collapse source area in a distributed manner, and collecting the measurement information of the collapse source area by the combined sensors;
s2, the combined sensor sends the collected measurement information to a monitoring and early warning terminal, and the monitoring and early warning terminal analyzes and processes the measurement information;
s3, if the measurement signal received by the monitoring and early warning terminal reaches the collapse threshold value, the monitoring and early warning terminal sends an alarm signal to the sound and light alarm module, and the sound and light alarm module responds to a sound and light alarm instruction;
and S4, the monitoring and early warning module transmits the received and processed signals to the detection client in a wireless communication mode according to a time sequence, and the client resolves and early warns the received signals for the back end and simultaneously backups and transmits the signals to the cloud server for storage.
Further, in S1, the combined sensors are arranged in a matrix of 3m × 3m in the collapse source area, the combined sensors collect macroscopic displacement of the collapse source area through the displacement sensors, collect inclination changes of the collapse source area through the tilt sensors, and collect infrasonic signals generated by damage inside the collapse source area through the infrasonic sensors, the tilt sensor data processing principle is consistent with the displacement sensor processing principle, the infrasonic sensors capture internal conditions of collapse, and alarm signals are output when detecting changes of sound waves.
Further, in S2, the monitoring and early warning terminal collects the measurement information of the combined sensor every second, converts the measurement information into a digital signal through the ADC, and performs calculation, storage, comparison, and sending an audible and visual warning instruction to the audible and visual warning module on the spot.
Further, in S3, the microprocessor is an MSP430 single chip microcomputer with a 12-bit ADC converter having internal reference, sample-and-hold and auto-scan functions embedded therein, and the principle of processing data is as follows:
the value acquired by the displacement sensor for the first time is recorded as h1And the acquisition time is recorded as t1(ii) a The second acquired value is recorded as h2And the acquisition time is recorded as t2(ii) a The value of the third acquisition is recorded as h3And the acquisition time is recorded as t3. The value of the fourth acquisition is recorded as h4And the acquisition time is recorded as t4. Calculating the average speed of the first sampling interval as o1Comprises the following steps:
the average speed of the second sampling interval is o2Comprises the following steps:
the average speed of the third sampling interval is v3Comprises the following steps:
calculating the acceleration a in the first phase1Comprises the following steps:
calculating the acceleration a in the second stage2Comprises the following steps:
finally, let the difference be a:
a＝a2-a1
and when the value of a is larger than the threshold value, the monitoring and early warning terminal sends a warning instruction to the sound-light warning module.
By adopting the technical scheme, the invention has the following beneficial effects:
the invention provides an intelligent collapse monitoring device, which supports remote configuration of sensors, adopts a combined sensor to measure and acquire data of a collapse source region, respectively measures displacement, an inclination angle and internal infrasound change of a collapse body, improves the monitoring and early warning effect, and is easy to carry and install; the monitoring and early warning terminal can acquire data in real time, process and analyze the data, output an alarm signal when the processing result is greater than a set threshold value, and remind residents of impending collapse disasters through the on-site acousto-optic siren, so that reliable technical guarantee is provided for protecting lives and properties; the NB-IOT wireless communication module is adopted to transmit in mountainous areas with complex environments, so that the power consumption is low, the data fidelity and stability are high, the data transmission cost is low, and real-time data are provided for a cloud server; the cloud server comprehensively processes and stores the transmitted data, provides big data analysis, obtains an accurate early warning level, gives early warning to collapse disasters and provides a basis for decision making of a management layer.
The invention also provides an intelligent collapse monitoring method, wherein the combined sensor is arranged in a collapse area source region, the deformation, the inclination angle and the internal infrasound change of a collapse body are monitored, the monitoring and early warning terminal analyzes and processes the data collected by the sensor, an alarm program is started immediately when the collected data reach a threshold value, the site can give an alarm by sound and light, the data are sent to a client through a wireless communication module, the accurate early warning is realized according to the calculation of a rear end, local residents are informed through short messages or telephones, and the casualties and property loss are avoided.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent collapse monitoring device according to the present invention;
FIG. 2 is a block diagram of an unprocessed algorithm of an intelligent collapse monitoring method according to the present invention;
fig. 3 is an installation schematic diagram of an intelligent collapse detection device according to the present invention.
In the drawings, 1: power supply module, 2: monitoring and early warning terminal, 3: infrasound sensor, 4: displacement sensor, 5: tilt angle sensor, 6: and a sound and light alarm module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
As shown in the attached drawings 1-3, the invention provides an intelligent collapse monitoring device, which comprises a combined sensor, a wireless communication module, a monitoring and early warning terminal 2, a wireless communication module, an audible and visual alarm module 6, a power supply module 1 and a cloud server, wherein the combined sensor is arranged in a collapse source region, the monitoring and early warning terminal 2 is used for collecting and processing data measured by the combined sensor and judging whether a collapse threshold value is reached, the combined sensor is connected to the monitoring and early warning terminal 2 through a data line, the monitoring and early warning terminal 2 is respectively connected with the audible and visual alarm module 6 and the cloud server module, the monitoring and early warning terminal 2 converts the data signals reaching early warning into alarm signals and sends the alarm signals to the audible and visual alarm module 6, the monitoring and early warning terminal 2 sends the collected and processed data to the cloud server through the wireless communication module, the cloud server processes and stores the data sent by the monitoring and early warning terminal 2 in detail, the power supply module 1 is used for supplying electric energy to the combined sensor, the monitoring and early warning terminal 2 and the wireless communication module.
The combined sensor comprises a displacement sensor 4 for measuring collapse macroscopic displacement, an inclination sensor 5 for measuring collapse inclination change and an infrasonic sensor 3 for measuring collapse internal damage and infrasonic wave generation, the displacement sensor 4, the inclination sensor 5 and the infrasonic sensor 3 are respectively connected with a monitoring and early warning terminal 2, the collapse variation is respectively measured through the displacement sensor 4, the inclination sensor 5 and the infrasonic sensor 3, and the collapse body factor in a complex mountain area can be comprehensively detected.
The monitoring and early warning terminal 2 comprises an ADC converter used for collecting measurement information of the combined sensor and converting the measurement information into digital signals, a microprocessor used for calculating, processing, comparing and outputting alarm signals, and a memory used for storing the measurement information of the combined sensor, wherein the ADC converter is in signal connection with the combined sensor, and the memory is in signal connection with the ADC converter through the microprocessor.
The wireless communication module is NB-IoT, the wireless communication module is connected with the monitoring and early warning terminal 2, the sound and light alarm module 6 and the cloud server, the wireless communication module sends a sound and light alarm instruction to the sound and light alarm module 6 in time, the wireless communication module sends original data collected by the monitoring and early warning terminal 2 to the cloud server without half an hour of interval, signal transmission is carried out through the wireless communication module, and the real-time performance of data transmission is guaranteed.
Acousto-optic alarm module 6 installs at the scene of collapsing, and acousto-optic alarm module 6 comes the on-the-spot warning through the instruction of accepting monitoring early warning terminal 2, and power module 1 includes solar panel, charge controller and lithium cell, and power module 1 is the combination formula sensor, monitoring early warning terminal 2 and wireless communication module provide power supply, reduces the consumption of equipment, and the cooperation charge controller stores the unnecessary energy that solar panel collected in the lithium cell to need from time to time.
The cloud ware is the Ali cloud ware, cloud ware and wireless communication module communication connection, the data of wireless communication module are received to the cloud ware and are handled it, the save, the result that will handle is shown through the mode of cell-phone APP or PC computer, the cloud ware is under the condition of saving microprocessor mode to the processing principle of data, with displacement acceleration value, inclination acceleration value and sound wave detected signal fuse the analysis, the processing result supplies the user to look over long-rangely, the historical data storage that will detect is at the cloud ware, prevent data packet loss on the one hand, on the other hand, conveniently transfer historical data and compare the analysis.
The invention provides an intelligent collapse monitoring method, which comprises the following steps of:
s1, installing a plurality of combined sensors in the collapse source area in a distributed manner, and collecting the measurement information of the collapse source area by the combined sensors;
in S1, the combined sensors are arranged in a collapse source area in a 3m by 3m matrix mode, the combined sensors acquire macroscopic displacement of the collapse source area through displacement sensors 4, acquire inclination change of the collapse source area through inclination sensors 5 and acquire infrasonic signals generated by damage inside the collapse source area through infrasonic sensors 3, the data processing principle of the inclination sensors 5 is consistent with the processing principle of the displacement sensors 4, the infrasonic sensors 3 capture the internal conditions of collapse, and alarm signals are output when the infrasonic sensors detect the change of the sound waves.
S2, the combined sensor sends the collected measurement information to the monitoring and early warning terminal 2, and the monitoring and early warning terminal 2 analyzes and processes the measurement information;
in S2, the monitoring and early-warning terminal 2 collects the measurement information of the combined sensor every second, converts the measurement information into a digital signal through the ADC, performs calculation, storage, comparison, and sends an audible and visual alarm instruction to the audible and visual alarm module 6 on the site.
S3, if the measurement signal received by the monitoring and early warning terminal 2 reaches the collapse threshold, the monitoring and early warning terminal 2 sends an alarm signal to the sound and light alarm module 6, and the sound and light alarm module 6 responds to a sound and light alarm instruction;
in S3, the microprocessor is an MSP430 single chip microcomputer with a 12-bit ADC converter embedded therein and having internal reference, sample-and-hold and auto-scan functions, and the principle of processing data is as follows:
displacement sensor 4 thThe value of one acquisition is recorded as h1And the acquisition time is recorded as t1(ii) a The second acquired value is recorded as h2And the acquisition time is recorded as t2(ii) a The value of the third acquisition is recorded as h3And the acquisition time is recorded as t3. The value of the fourth acquisition is recorded as h4And the acquisition time is recorded as t4. Calculating the average velocity of the first sampling interval as v1Comprises the following steps:
the average velocity of the second sampling interval is v2Comprises the following steps:
the average speed of the third sampling interval is v3Comprises the following steps:
calculate acceleration in the first phase α1Comprises the following steps:
calculate acceleration α in the second phase2Comprises the following steps:
finally, let the difference be noted as α:
α＝α2-α1
when the value of α is greater than the threshold value, the monitoring and early-warning terminal 2 sends an alarm instruction to the sound-light alarm module 6.
And S4, the monitoring and early warning module transmits the received and processed signals to the detection client in a wireless communication mode according to a time sequence, and the client resolves and early warns the received signals for the back end and simultaneously backups and transmits the signals to the cloud server for storage.
The utility model provides an intelligence monitoring devices that collapses, it mainly includes combined type sensor, monitoring and early warning terminal 2, acousto-optic warning module 6 and power module 1, by power module 1 to combined type sensor, monitoring and early warning terminal 2 and acousto-optic warning module 6 provide the electric energy, combined type sensor includes infrasound sensor 3, displacement sensor 4 and angular transducer 5, monitoring and early warning terminal 2 includes microprocessor, memory and controller, monitoring and early warning terminal 2 adopts NB-IOT wireless communication module to establish the connection with combined type sensor and acousto-optic warning module 6's data transmission, monitoring and early warning terminal 2 still establishes the connection with the cloud ware through NB-IOT wireless communication module.
The combined sensor monitors an induction factor of a collapsed body, wherein a displacement sensor 4 is led out by a steel wire rope and fixed at the other end through a crack formed by the collapsed body, an inclination angle sensor 5 is fixed on the collapsed body, and an infrasonic sensor 3 is also arranged on the collapsed body to detect the inner collapse condition of the collapsed body; the power supply module 1 is powered by a solar panel and a lithium battery, the solar panel is arranged in a place with a relatively stable environment, the lithium battery is placed inside the monitoring and early warning terminal 2, when sunlight is sufficient, the solar panel supplies power and charges the lithium battery, and when the illumination condition is poor, the lithium battery supplies power; the NB-IOT wireless communication module is arranged in the box of the monitoring and early warning terminal 2, and the antenna of the NB-IOT wireless communication module is led out by a wire and is adsorbed outside the box.
The monitoring and early warning terminal 2 respectively collects displacement values, inclination values and infrasound values of the displacement sensor 4, the inclination sensor 5 and the infrasound sensor 3 at regular intervals, the displacement values, the inclination values and the infrasound values are calculated by the microprocessor, when the numerical value of the processing result is greater than a preset threshold value, an alarm program is immediately started, an alarm signal instruction is sent to the acousto-optic alarm module 6, the acousto-optic alarm module 6 responds to acousto-optic alarm information on site, meanwhile, the NB-IOT wireless communication module transmits data to the cloud server, the cloud server calculates the data again, if the possibility of mountain collapse is predicted by calculation, an alarm signal can be fed back to the monitoring and early warning terminal 2, the monitoring and early warning terminal 2 sends an alarm signal instruction to the acousto-optic alarm module 6, the result is displayed through a mobile phone APP or a client, and the mode of combining site alarm and cloud server processing alarm, effective early warning can be made according to the on-site detection result, and early warning notification can be made according to the data calculation result, so that people at resident points evacuate in advance, casualties can be avoided, and the safety of lives and property is protected.
The invention supports remote configuration of sensors, adopts the combined sensor to measure and acquire data of a collapse source area, and respectively measures displacement, inclination angle and internal infrasound change of a collapse body, thereby improving the monitoring and early warning effect, and the combined sensor is easy to carry and install; the monitoring and early warning terminal 2 can acquire data in real time, process and analyze the data, output an alarm signal when the processing result is larger than a set threshold value, and remind residents of impending collapse disasters through the on-site acousto-optic siren, so that reliable technical support is provided for protecting lives and properties; the wireless communication module is adopted for transmission in mountainous areas with complex environments, so that the power consumption is low, the data fidelity is high, the stability is high, the data transmission cost is low, and real-time data are provided for the cloud server; the cloud server comprehensively processes and stores the transmitted data, provides big data analysis, obtains an accurate early warning level, gives early warning to collapse disasters and provides a basis for decision making of a management layer.
The invention arranges the combined sensor in the source area of the collapse area, monitors the deformation, the inclination angle and the internal infrasound change of the collapse body, the monitoring and early warning terminal 2 analyzes and processes the data collected by the sensor, the alarm program is started immediately when the collected data reaches the threshold value, the site can give an alarm by sound and light, the data is sent to the client through the wireless communication module, the accurate early warning is realized by resolving according to the back end, the local residents are informed by short messages or telephones, and the casualties and property loss are avoided.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. An intelligent collapse monitoring device is characterized by comprising a combined sensor, a monitoring and early warning terminal, a wireless communication module, an acousto-optic alarm module, a power supply module and a cloud server, wherein the combined sensor is arranged in a collapse source area, the monitoring and early warning terminal is used for collecting and processing data measured by the combined sensor and judging whether a collapse threshold value is reached or not, the combined sensor is connected into the monitoring and early warning terminal through a data line, the monitoring and early warning terminal is respectively connected with the acousto-optic alarm module and the wireless communication module, the monitoring and early warning terminal converts a data signal reaching early warning into an alarm signal and sends the alarm signal to the acousto-optic alarm module, the monitoring and early warning terminal sends the collected and processed data to the cloud server through the wireless communication module, and the cloud server processes and stores the data sent by the monitoring and early warning terminal in detail, the power supply module is used for supplying electric energy to the combined sensor, the monitoring and early warning terminal and the wireless communication module.
2. The intelligent collapse monitoring device according to claim 1, wherein the combined sensor comprises a displacement sensor for measuring the collapse macroscopic displacement amount, an inclination sensor for measuring the collapse inclination change and an infrasonic sensor for measuring the infrasonic waves generated by collapse internal damage, and the displacement sensor, the inclination sensor and the infrasonic sensor are respectively connected with a monitoring and early warning terminal.
3. The intelligent collapse monitoring device according to claim 2, wherein the monitoring and early warning terminal comprises an ADC converter for acquiring the measurement information of the combined sensor and converting the measurement information into digital signals, a microprocessor for calculating, processing, comparing and outputting alarm signals, and a memory for storing the measurement information of the combined sensor, the ADC converter is in signal connection with the combined sensor, and the memory is in signal connection with the ADC converter through the microprocessor.
4. The intelligent collapse monitoring device according to claim 3, wherein the wireless communication module is NB-IoT, the wireless communication module is connected with the monitoring and early warning terminal, the sound and light alarm module and the cloud server, the wireless communication module sends a sound and light alarm instruction to the sound and light alarm module in time, and the wireless communication module sends original data collected by the monitoring and early warning terminal to the cloud server every half an hour.
5. The intelligent collapse monitoring device according to claim 4, wherein the sound and light alarm module is installed on a collapse site, the sound and light alarm module is used for prompting the site by receiving an instruction of the monitoring and early warning terminal, the power supply module comprises a solar panel, a charging controller and a lithium battery, and the power supply module is used for supplying power to the combined sensor, the monitoring and early warning terminal and the wireless communication module.
6. The intelligent collapse monitoring device according to claim 5, wherein the cloud server is an Ali cloud server, the cloud server is in communication connection with the wireless communication module, the cloud server receives the data of the wireless communication module, processes and stores the data, a processed result is displayed in a mobile phone APP or PC computer mode, the cloud server carries out fusion analysis on the displacement acceleration value, the inclination angle acceleration value and the sound wave detection signal under the condition that a microprocessor mode is stored according to the data processing principle, and the processed result is remotely checked by a user.
7. An intelligent collapse monitoring method, characterized in that it comprises the use of an intelligent collapse monitoring device according to any one of claims 1-6, comprising the following steps:
s1, installing a plurality of combined sensors in the collapse source area in a distributed manner, and collecting the measurement information of the collapse source area by the combined sensors;
s2, the combined sensor sends the collected measurement information to a monitoring and early warning terminal, and the monitoring and early warning terminal analyzes and processes the measurement information;
s3, if the measurement signal received by the monitoring and early warning terminal reaches the collapse threshold value, the monitoring and early warning terminal sends an alarm signal to the sound and light alarm module, and the sound and light alarm module responds to a sound and light alarm instruction;
and S4, the monitoring and early warning module transmits the received and processed signals to the monitoring client side in a time sequence in a wireless communication mode, and the client side resolves and early warns the received signals for the back end and simultaneously backups and transmits the signals to the cloud server for storage.
8. The intelligent collapse monitoring method according to claim 7, wherein in S1, the combined sensors are arranged in a matrix of 3m by 3m in a collapse source area, the combined sensors collect macroscopic displacement of the collapse source area through the displacement sensors, collect inclination changes of the collapse source area through the tilt sensors, and collect infrasonic signals generated by damage inside the collapse source area through the infrasonic sensors, the data processing principle of the tilt sensors is consistent with that of the displacement sensors, the infrasonic sensors capture internal conditions of collapse, and alarm signals are output when the infrasonic sensors detect changes of sound waves.
9. The intelligent collapse monitoring method according to claim 8, wherein in S2, the monitoring and early warning terminal collects the measurement information of the combined sensor every second, converts the measurement information into digital signals through the ADC, performs calculation, storage and comparison, and sends an audible and visual alarm command to an audible and visual alarm module on site.
10. The intelligent collapse monitoring method according to claim 9, wherein in S3, the microprocessor is an MSP430 single chip microcomputer with an internal 12-bit ADC converter with internal reference, sample-and-hold and auto-scan functions, and the principle of data processing is as follows:
the value acquired by the displacement sensor for the first time is recorded as h1And the acquisition time is recorded as t1(ii) a The second acquired value is recorded as h2And the acquisition time is recorded as t2(ii) a The value of the third acquisition is recorded as h3And the acquisition time is recorded as t3. The value of the fourth acquisition is recorded as h4And the acquisition time is recorded as t4. Calculating the average velocity of the first sampling interval as v1Comprises the following steps:
the average velocity of the second sampling interval is v2Comprises the following steps:
the average speed of the third sampling interval is v3Comprises the following steps:
calculating the acceleration a in the first phase1Comprises the following steps:
calculating the acceleration a in the second stage2Comprises the following steps:
finally, let the difference be a:
a＝a2-a1
and when the value of a is larger than the threshold value, the monitoring and early warning terminal sends a warning instruction to the sound-light warning module.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112987057A (en) * | 2021-03-02 | 2021-06-18 | 上海华测导航技术股份有限公司 | Landslide disaster monitoring equipment |
| CN113129561A (en) * | 2021-04-22 | 2021-07-16 | 中铁北京工程局集团有限公司 | Method for monitoring collapse safety of railway bridge template |
| CN113137911A (en) * | 2021-04-25 | 2021-07-20 | 成都理工大学 | Real-time frequency conversion landslide monitoring devices based on RTK |
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| CN114842620A (en) * | 2022-05-23 | 2022-08-02 | 贵州天然气管网有限责任公司 | Natural gas line unattended geological disaster hidden danger point monitoring and early warning system |
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| CN115130356A (en) * | 2022-09-01 | 2022-09-30 | 北京云庐科技有限公司 | Collapse monitoring system and method based on digital twin technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112987057A (en) * | 2021-03-02 | 2021-06-18 | 上海华测导航技术股份有限公司 | Landslide disaster monitoring equipment |
| WO2022183607A1 (en) * | 2021-03-02 | 2022-09-09 | 上海华测导航技术股份有限公司 | Landslide disaster monitoring equipment |
| CN113129561A (en) * | 2021-04-22 | 2021-07-16 | 中铁北京工程局集团有限公司 | Method for monitoring collapse safety of railway bridge template |
| CN113129561B (en) * | 2021-04-22 | 2022-04-19 | 中铁北京工程局集团有限公司 | Method for monitoring collapse safety of railway bridge template |
| CN113137911A (en) * | 2021-04-25 | 2021-07-20 | 成都理工大学 | Real-time frequency conversion landslide monitoring devices based on RTK |
| CN113596404A (en) * | 2021-07-29 | 2021-11-02 | 中大检测(湖南)股份有限公司 | Multi-communication mode multifunctional monitoring method and equipment |
| CN113596404B (en) * | 2021-07-29 | 2022-05-03 | 中大检测(湖南)股份有限公司 | Multi-communication mode multifunctional monitoring method and equipment |
| CN114842620A (en) * | 2022-05-23 | 2022-08-02 | 贵州天然气管网有限责任公司 | Natural gas line unattended geological disaster hidden danger point monitoring and early warning system |
| CN115077482A (en) * | 2022-06-17 | 2022-09-20 | 西安捷达测控有限公司 | Collapsed mesh monitoring equipment, method and system |
| CN115077482B (en) * | 2022-06-17 | 2024-02-13 | 西安捷达测控有限公司 | Collapse net-shaped monitoring equipment, method and system |
| CN115130356A (en) * | 2022-09-01 | 2022-09-30 | 北京云庐科技有限公司 | Collapse monitoring system and method based on digital twin technology |
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