CN210629869U - Wireless low-power consumption sensing network system for geological disaster early warning - Google Patents
Wireless low-power consumption sensing network system for geological disaster early warning Download PDFInfo
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- CN210629869U CN210629869U CN201921563819.3U CN201921563819U CN210629869U CN 210629869 U CN210629869 U CN 210629869U CN 201921563819 U CN201921563819 U CN 201921563819U CN 210629869 U CN210629869 U CN 210629869U
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Abstract
The utility model relates to a response disaster event's alarm specifically is a wireless low-power consumption sensing network system of geological disasters early warning. The utility model provides a wireless low-power consumption sensing network system of geological disaster early warning, includes wireless monitoring point (1), characterized by: the wireless monitoring system is characterized by further comprising an early warning point (2) and a monitoring cloud (3), wherein the wireless monitoring point (1) comprises a sensor (11), a detection circuit (12), a microprocessor (13), a wireless communication module (14) and a power supply (15); the early warning point (2) comprises a remote terminal unit (21), an early warning indicating device (22) and an uninterruptible power supply (23); each wireless communication module (14) is in wireless connection with a remote terminal unit (21) or a monitoring cloud (3) of the early warning point (2), and the remote terminal unit (21) is in wireless connection with the monitoring cloud (3). The utility model discloses environmental suitability is strong, and the lowering system cost, monitoring degree of automation is high.
Description
Technical Field
The utility model relates to a response disaster event's alarm specifically is a wireless low-power consumption sensing network system of geological disasters early warning.
Background
China is a country with high occurrence of geological disasters, and various disasters such as landslide, collapse, debris flow and the like cause huge economic and personnel losses every year. In recent years, with the investment of countries and enterprises, the automatic monitoring technology gradually plays an increasingly important role in the prevention and treatment of ground disasters, and monitoring items including rainfall, cracks, mountain deformation and the like enable disaster forecast to be possible. Generally, the instruments are powered by a solar energy system, then converged to a Remote Terminal Unit (namely, Remote Terminal Unit, abbreviated as RTU) on site in a wired manner, and transmitted to a corresponding disaster monitoring platform through a mobile network.
However, in many areas with multiple ground disasters, the annual lighting conditions are poor, and the solar energy system is prone to feed electricity due to long-time rainfall before the ground disasters, which causes the equipment to be inoperable. Meanwhile, if the solar cell is equipped according to the extremely continuous rainfall condition, the cost is greatly increased, and the automatic monitoring scheme cannot be popularized in a large area.
SUMMERY OF THE UTILITY MODEL
In order to overcome prior art's defect, provide an environmental suitability adaptability, reduce system cost, monitoring degree of automation is high alarm device, the utility model discloses a wireless low-power consumption sensing network system of geological disaster early warning.
The utility model discloses a following technical scheme reaches the invention purpose:
the utility model provides a wireless low-power consumption sensing network system of geological disaster early warning, includes wireless monitoring point, characterized by: also comprises an early warning point and a monitoring cloud,
the wireless monitoring point comprises a sensor, a detection circuit, a microprocessor, a wireless communication module and a power supply, wherein the sensor, the detection circuit, the microprocessor and the wireless communication module are sequentially connected through signal wires, and the power supply is respectively connected with the sensor, the detection circuit, the microprocessor and the wireless communication module through leads;
the early warning point comprises a remote terminal unit, an early warning indicating device and an uninterruptible power supply, wherein the remote terminal unit is connected with the early warning indicating device through a signal wire, and the uninterruptible power supply is respectively connected with the remote terminal unit and the early warning indicating device through wires;
each wireless monitoring point is in wireless connection with the remote terminal unit of the early warning point or the monitoring cloud through the wireless communication module, and the remote terminal unit of the early warning point is in wireless connection with the monitoring cloud.
The wireless low-power consumption sensing network system for geological disaster early warning is characterized in that:
the wireless connection between the wireless communication module and the remote terminal unit adopts an LoRa wireless transmission protocol, the wireless connection between the wireless communication module and the monitoring cloud adopts an NB-IoT wireless transmission protocol, the wireless connection between the wireless communication module and the intelligent mobile terminal adopts a Bluetooth wireless transmission protocol, and the wireless connection between the remote terminal unit and the monitoring cloud adopts an LTE wireless transmission protocol;
the sensors comprise geological disaster monitoring sensors such as a water level sensor for measuring precipitation, an acceleration sensor for measuring rock displacement, a displacement sensor for measuring rock cracks, a temperature and humidity sensor for measuring soil temperature and humidity and the like;
the power supply adopts a lithium secondary battery and is internally provided with an electric quantity management module;
the early warning indicating device comprises an alarm loudspeaker and an alarm display screen.
The wireless low-power consumption sensing network system for geological disaster early warning is characterized in that:
the wireless communication module comprises a remote communication module and a local configuration communication module, wherein the remote communication module adopts an LoRa wireless transmission protocol or an NB-IoT wireless transmission protocol for transmitting monitoring data; the local configuration communication module adopts a BLE wireless transmission protocol for field debugging and configuration;
the detection circuit comprises a digital potentiometer and a comparator, wherein the voltage division tap end of the digital potentiometer is connected to the IN-end of the comparator, the output voltage signals (namely V _ Sense ends) of all sensors are input to the IN + end of the comparator, and the OUT end of the comparator is connected to an interrupt input pin of the microprocessor;
the typical value of the working current of the digital potentiometer is 5 muA/2.7V, the maximum value of the working current of the comparator is less than 0.2 muA/0.9-6V, the digital potentiometer and the comparator are always in a working state after being started, and the microprocessor is in a low-power-consumption dormant state at ordinary times, so that the standby current of the detection circuit is not more than 5.2 muA.
The use method of the wireless low-power consumption sensing network system for geological disaster early warning is characterized by comprising the following steps: the method is implemented in sequence according to the following steps:
①, configuring and monitoring platform account, project, equipment and other information of the cloud;
② arranging remote terminal unit, warning indicator and UPS of the warning point, configuring parameters such as IP address of the connected warning point with intelligent mobile terminal (such as mobile phone), and checking the state of the remote terminal unit;
③ arranging sensor, detection circuit, microprocessor, wireless communication module and power supply of wireless monitoring point;
④, waking up a wireless monitoring point on site by using an intelligent mobile terminal through Bluetooth (adopting BLE4.0 protocol), debugging, and configuring parameters such as a threshold value, an uploading sampling rate, a serial number or an IP address of a remote terminal unit to be connected and the like;
⑤ after the wireless monitoring point is debugged, defaulting to sample once per hour and uploading to the remote terminal unit or monitoring cloud (the sampling rate can be modified), if the set threshold is exceeded, triggering an alarm once and increasing the sampling rate to once per ten minutes;
⑥ after receiving the alarm signal of the wireless monitoring point, the remote terminal unit or the monitoring cloud triggers the built-in analysis program, drives the early warning indicating device through the remote terminal unit, and displays or broadcasts the corresponding alarm information;
⑦ when alarming, the remote terminal unit or monitoring cloud informs all wireless monitoring points in the same monitoring area to carry out encryption sampling;
⑧ the monitoring cloud informs the user in the form of e-mail, short message, etc. according to the alarm level.
The use method of the wireless low-power consumption sensing network system for geological disaster early warning is characterized by comprising the following steps:
in step ②, the remote terminal unit status includes SIM card status, signal status, dial-up networking status, battery power status, connection status with monitoring cloud, connection status with local wireless monitoring point or early warning point, etc., and these statuses mainly help the user debug the remote terminal unit to ensure normal operation;
step ⑤:
the detection circuit comprises a digital potentiometer and a comparator, wherein the voltage division tap end of the digital potentiometer is connected to the IN-end of the comparator, the output voltage signals (namely V _ Sense ends) of all sensors are input to the IN + end of the comparator, and the OUT end of the comparator is connected to an interrupt input pin of the microprocessor;
issuing appropriate trigger threshold parameters to each wireless monitoring point from the monitoring cloud, writing the received trigger threshold parameters into the digital potentiometer through an SPI (serial peripheral interface) of the microprocessor by the wireless monitoring point, adjusting the output of a voltage division end of the digital potentiometer to preset parameter values and then inputting the preset parameter values into an IN-end of a comparator; the output voltage signals of each sensor are directly input to an IN + end of the comparator, when the voltage of the IN + end is lower than that of the IN-end, an OUT end of the comparator outputs low level to the microprocessor, the microprocessor is IN a dormant state, when the voltage of the IN + end is higher than that of the IN-end, the OUT end of the comparator outputs high level to the microprocessor, the microprocessor is enabled to generate interruption and awaken the microprocessor, and then the microprocessor triggers an alarm.
The utility model provides a wireless low-power consumption sensing network scheme both satisfies the real-time requirement of early warning, has overcome the not enough difficulty of on-the-spot condition of being attended again, can reduce system's comprehensive cost simultaneously by a wide margin to further strengthen the effect of automatic monitoring technology in the prevention of ground disaster, promote the factor of safety of people's life and property.
The utility model discloses a system divide into three level from bottom to top: the system comprises a ground disaster monitoring point, an early warning point and a cloud application layer.
The utility model discloses in, wireless monitoring point is established in disaster occurrence department specifically (like massif crack department), and wireless monitoring point deploys various wireless monitoring instrument, and wireless monitoring point passes through special hardware design, realizes the consumption of minimum (be less than 0.1mW under the dormant state), and the aspect then adopts wide area narrowband communication mode such as loRa, NB-IoT (in the region that has operator signal to cover) simultaneously in the aspect of wireless transmission. Therefore, the wireless monitoring point (1) can work for 5 to 10 years only by being provided with a lithium sub-battery with certain capacity (the annual self-discharge current is less than 1 percent, and the storage life is more than 10 years), thereby meeting the requirement of long-term monitoring in an area with insufficient illumination. Specifically, a power supply in the wireless monitoring point supplies power to each module, and meanwhile, the microprocessor can acquire the power supply state through the I2C or other interfaces and can send out an alarm when the power supply is low. The sensor is responsible for collecting one or more environmental physical quantities of the monitored point, including rainfall, acceleration (collapse), cracks, soil water content and the like, and it is worth noting that a low-power-consumption device should be selected when the sensor (11) is selected. The detection circuit can detect the output of the sensor according to a threshold value set by the microprocessor, if the output exceeds the threshold value, an interrupt signal is generated to the microprocessor, and after the microprocessor receives the interrupt signal, the wireless communication module is started to report the acquired data.
The early warning point is generally set up in resident's gathering place (generally apart from wireless monitoring point and not more than 5 km), can share commercial power and mounted position with lamp pole or wire pole, and the scene is furnished with remote terminal unit, can receive loRa wireless signal transmission's wireless monitoring point's data to control on-the-spot early warning indicating device (including warning speaker, warning display screen etc.).
The monitoring cloud application layer collects all monitoring data, including data transmitted from the remote terminal unit and data directly collected from the wireless monitoring points through NB-IoT wireless signals. If the monitoring cloud monitors abnormal alarm, the remote terminal unit can be reversely informed through protocols such as MQTT, TCP and the like, and the on-site early warning indicating device is triggered.
The utility model discloses following beneficial effect has:
1. convenience: the purchasing and arrangement construction work of materials such as pipelines and power supplies is greatly simplified, the construction cost is reduced, and the efficiency is improved;
2. high reliability: the problems of insufficient illumination and failure of a solar system are avoided, and long-term monitoring for more than 5 years can be realized through different configurations of battery capacity.
Drawings
Fig. 1 is a schematic structural diagram of the present invention;
FIG. 2 is a schematic structural view of a wireless monitoring point of the present invention;
fig. 3 is a circuit diagram of the detection circuit of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples.
Example 1
The utility model provides a wireless low-power consumption sensing network system of geological disaster early warning, includes wireless monitoring point 1, early warning point 2 and monitoring cloud 3, as shown in fig. 1-3, concrete structure is:
the wireless monitoring point 1 is shown in fig. 2: the wireless monitoring point 1 comprises a sensor 11, a detection circuit 12, a microprocessor 13, a wireless communication module 14 and a power supply 15, wherein the sensor 11, the detection circuit 12, the microprocessor 13 and the wireless communication module 14 are sequentially connected through signal lines, and the power supply 15 is respectively connected with the sensor 11, the detection circuit 12, the microprocessor 13 and the wireless communication module 14 through leads;
the early warning point 2 comprises a remote terminal unit 21, an early warning indicating device 22 and an uninterruptible power supply 23, wherein the remote terminal unit 21 is connected with the early warning indicating device 22 through a signal wire, and the uninterruptible power supply 23 is respectively connected with the remote terminal unit 21 and the early warning indicating device 22 through wires;
each wireless monitoring point 1 is in wireless connection with the remote terminal unit 21 of the early warning point 2 or the monitoring cloud 3 through the wireless communication module 14, and the remote terminal unit 21 of the early warning point 2 is in wireless connection with the monitoring cloud 3.
In this embodiment:
the wireless connection between the wireless communication module 14 and the remote terminal unit 21 adopts an LoRa wireless transmission protocol, the wireless connection between the wireless communication module 14 and the monitoring cloud 3 adopts an NB-IoT wireless transmission protocol, the wireless connection between the wireless communication module 14 and the intelligent mobile terminal adopts a Bluetooth wireless transmission protocol, and the wireless connection between the remote terminal unit 21 and the monitoring cloud 3 adopts an LTE wireless transmission protocol;
the sensors 11 comprise geological disaster monitoring sensors such as a water level sensor for measuring precipitation, an acceleration sensor for measuring rock displacement, a displacement sensor for measuring rock cracks, a temperature and humidity sensor for measuring soil temperature and humidity, and the like;
the power supply 15 adopts a lithium secondary battery, and an electric quantity management module is arranged in the power supply 15;
the early warning indicating device 22 comprises an alarm loudspeaker and an alarm display screen;
the wireless communication module 14 includes a remote communication module and a local configuration communication module, wherein the remote communication module adopts an LoRa wireless transmission protocol or an NB-IoT wireless transmission protocol for transmitting monitoring data; the local configuration communication module adopts a BLE wireless transmission protocol for field debugging and configuration;
the detection circuit 12 is shown in fig. 3: the detection circuit 12 comprises a digital potentiometer 121 and a comparator 122, wherein the voltage division tap end of the digital potentiometer 121 is connected to the IN-end of the comparator 122, the output voltage signal (i.e. the V _ Sense end) of each sensor 11 is input to the IN + end of the comparator 122, and the OUT end of the comparator 122 is connected to the interrupt input pin of the microprocessor 13;
the digital potentiometer 121 is of a TPL0501-100DCN type, the comparator 122 is of a TLV3691IDPF type, the typical value of the working current of the digital potentiometer 121 is 5 muA/2.7V, the maximum value of the working current of the comparator 122 is less than 0.2 muA/0.9-6V, the digital potentiometer 121 and the comparator 122 are always in a working state after being started, and the microprocessor 13 is in a low-power-consumption dormant state at ordinary times, so that the standby current of the detection circuit 12 is not more than 5.2 muA.
When the method is used, the steps are implemented in sequence as follows:
①, monitoring information of platform accounts, projects, equipment and the like of the cloud 3;
②, arranging remote terminal unit 21, warning indicator 22 and uninterrupted power supply 23 of warning point 2, configuring parameters such as IP address of connected warning point 2 with intelligent mobile terminal (such as mobile phone), and checking state of remote terminal unit 21 of warning point 2;
the states of the remote terminal unit 21 include a SIM card state, a signal state, a dial-up state, a battery power state, a connection with the monitoring cloud 3, a connection with the local wireless monitoring point 1 or the early warning point 2, and the like, and these states mainly help the user to debug the remote terminal unit 21 to ensure normal operation;
③ arranging the sensor 11, detection circuit 12, microprocessor 13, wireless communication module 14 and power supply 15 of the wireless monitoring point 1;
④, waking up the wireless monitoring point 1 on site by the intelligent mobile terminal through Bluetooth (adopting BLE4.0 protocol), debugging, configuring parameters such as threshold value, uploading sampling rate, number or IP address of the remote terminal unit 21 to be connected;
⑤ after the wireless monitoring point 1 on site is debugged, the data is sampled once per hour by default and uploaded to the remote terminal unit 21 or the monitoring cloud 3 (the sampling rate can be modified), if the data exceeds the set threshold, an alarm is triggered once at once, and the sampling rate is increased to once per ten minutes;
specifically, the method comprises the following steps: issuing appropriate trigger threshold parameters to each wireless monitoring point 1 from the monitoring cloud 3, writing the received trigger threshold parameters into the digital potentiometer 121 by the wireless monitoring point 1 through an SPI (serial peripheral interface) of the microprocessor 13, adjusting the output of a voltage division end of the digital potentiometer 121 to preset parameter values, and inputting the preset parameter values to an IN-end of the comparator 122; the output voltage signals of the sensors 11 are directly input to the IN + end of the comparator 122, when the voltage of the IN + end is lower than that of the IN-end, the OUT end of the comparator 122 outputs low level to the microprocessor 13, the microprocessor 13 is IN a dormant state, when the voltage of the IN + end is higher than that of the IN-end, the OUT end of the comparator 122 outputs high level to the microprocessor 13, the microprocessor 13 is enabled to generate interruption and awaken the microprocessor 13, and then the microprocessor 13 triggers an alarm;
⑥ after the remote terminal unit 21 or the monitoring cloud 3 receives the alarm signal of the wireless monitoring point 1, triggering a built-in analysis program, driving the early warning indicating device 22 through the remote terminal unit 21, and displaying or broadcasting corresponding alarm information;
⑦ when alarming, the remote terminal unit 21 or the monitoring cloud 3 informs all the wireless monitoring points 1 in the same monitoring area to carry out encryption sampling;
⑧ the monitoring cloud 3 informs the user 4 by e-mail, short message, etc. according to the alarm level.
The embodiment provides a wireless low-power consumption sensing network scheme, which not only meets the real-time requirement of early warning, but also overcomes the difficulty of insufficient on-site care conditions, and simultaneously can greatly reduce the comprehensive cost of the system, thereby further enhancing the effect of an automatic monitoring technology in ground disaster prevention and improving the safety coefficient of life and property of people.
The system of the embodiment is divided into three levels from bottom to top: the system comprises a ground disaster monitoring point, an early warning point and a cloud application layer.
In this embodiment, the wireless monitoring point 1 is set at a specific disaster occurrence place (e.g., a mountain crack), various wireless monitoring instruments are deployed at the wireless monitoring point 1, the wireless monitoring point 1 is designed by special hardware, so that extremely low power consumption (less than 0.1mW in a dormant state) is realized, and meanwhile, wide-area narrowband communication modes such as LoRa and NB-IoT (in an area covered by operator signals) are adopted in wireless transmission. Therefore, the wireless monitoring point 1 can work for 5 to 10 years only by being equipped with a lithium sub-battery with certain capacity (the annual self-discharge current is less than 1 percent, and the storage life is more than 10 years), thereby meeting the requirement of long-term monitoring in an area with insufficient illumination. Specifically, the hardware architecture of the wireless monitoring point 1 is as shown in fig. 2, a power supply 15 in the wireless monitoring point 1 supplies power to each module, and meanwhile, the microprocessor 13 can acquire the state of the power supply 15 through I2C or other interfaces and can send out an alarm when the power is low. The sensor 11 is responsible for collecting one or more environmental physical quantities of the monitored point location, including rainfall, acceleration (collapse), cracks, soil moisture content, and the like, and it should be noted that a low-power device should be selected when selecting the sensor 11. The detection circuit 12 detects the output of the sensor 11 according to a threshold value set by the microprocessor 13, if the output exceeds the threshold value, an interrupt signal is generated to the microprocessor 13, and after the microprocessor 13 receives the interrupt signal, the wireless communication module 14 is started to report the acquired data.
The early warning point 2 is generally set up in resident's gathering place (generally apart from the wireless monitoring point and not more than 5 km), can share commercial power and mounted position with lamp pole or wire pole, and the scene is furnished with remote terminal unit 21, can receive loRa wireless signal transmission's wireless monitoring point 1's data to control on-the-spot early warning indicating device 22 (including warning speaker, warning display screen etc.).
The monitoring cloud 3 application layer aggregates all monitoring data, including data transmitted from the remote terminal unit 21 and data directly collected from the wireless monitoring point 1 through NB-IoT wireless signals. If the monitoring cloud 3 monitors abnormal alarm, the remote terminal unit 21 can be reversely informed through protocols such as MQTT, TCP and the like, and the on-site early warning indicating device 22 is triggered.
Claims (3)
1. The utility model provides a wireless low-power consumption sensing network system of geological disaster early warning, includes wireless monitoring point (1), characterized by: also comprises an early warning point (2) and a monitoring cloud (3),
the wireless monitoring point (1) comprises a sensor (11), a detection circuit (12), a microprocessor (13), a wireless communication module (14) and a power supply (15), wherein the sensor (11), the detection circuit (12), the microprocessor (13) and the wireless communication module (14) are sequentially connected through signal lines, and the power supply (15) is respectively connected with the sensor (11), the detection circuit (12), the microprocessor (13) and the wireless communication module (14) through leads;
the early warning point (2) comprises a remote terminal unit (21), an early warning indicating device (22) and an uninterruptible power supply (23), the remote terminal unit (21) is connected with the early warning indicating device (22) through a signal line, and the uninterruptible power supply (23) is respectively connected with the remote terminal unit (21) and the early warning indicating device (22) through wires;
each wireless monitoring point (1) is in wireless connection with a remote terminal unit (21) or a monitoring cloud (3) of the early warning point (2) through a wireless communication module (14), and the remote terminal unit (21) and the monitoring cloud (3) of the early warning point (2) are in wireless connection.
2. The wireless low-power consumption sensing network system for geological disaster early warning as claimed in claim 1, wherein:
the wireless connection between the wireless communication module (14) and the remote terminal unit (21) adopts an LoRa wireless transmission protocol, the wireless connection between the wireless communication module (14) and the monitoring cloud (3) adopts an NB-IoT wireless transmission protocol, the wireless connection between the wireless communication module (14) and the intelligent mobile terminal adopts a Bluetooth wireless transmission protocol, and the wireless connection between the remote terminal unit (21) and the monitoring cloud (3) adopts an LTE wireless transmission protocol;
the sensor (11) comprises a water level sensor for measuring precipitation, an acceleration sensor for measuring rock displacement, a displacement sensor for measuring rock cracks and a temperature and humidity sensor for measuring soil temperature and humidity;
the power supply (15) adopts a lithium sub-battery, and an electric quantity management module is arranged in the power supply (15);
the warning indication device (22) comprises a warning loudspeaker and a warning display screen.
3. The wireless low-power consumption sensing network system for geological disaster early warning as claimed in claim 2, wherein:
the wireless communication module (14) comprises a remote communication module and a local configuration communication module, wherein the remote communication module adopts an LoRa wireless transmission protocol or an NB-IoT wireless transmission protocol for transmitting monitoring data; the local configuration communication module adopts a BLE wireless transmission protocol for field debugging and configuration;
the detection circuit (12) comprises a digital potentiometer (121) and a comparator (122), wherein the voltage division tap end of the digital potentiometer (121) is connected to the IN-end of the comparator (122), the output voltage signals of all the sensors (11) are input to the IN + end of the comparator (122), and the OUT end of the comparator (122) is connected to an interrupt input pin of the microprocessor (13);
the typical value of the working current of the digital potentiometer (121) is 5 muA/2.7V, the maximum value of the working current of the comparator (122) is less than 0.2 muA/0.9-6V, the digital potentiometer (121) and the comparator (122) are always in a working state after being started, and the microprocessor (13) is in a low-power-consumption dormant state at ordinary times, so that the standby current of the detection circuit (12) is not more than 5.2 muA.
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| CN110650451A (en) * | 2019-09-20 | 2020-01-03 | 嘉兴同禾传感技术有限公司 | Wireless low-power-consumption sensing network system for geological disaster early warning and using method thereof |
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| CN110650451A (en) * | 2019-09-20 | 2020-01-03 | 嘉兴同禾传感技术有限公司 | Wireless low-power-consumption sensing network system for geological disaster early warning and using method thereof |
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Address after: No.2, building 31, No.522, Asia Pacific Road, Nanhu District, Jiaxing City, Zhejiang Province Patentee after: Zhejiang Tonghe Sensing Technology Co.,Ltd. Address before: Room 309, 301 and 302, building 3, No. 3339, linggongtang Road, Nanhu District, Jiaxing City, Zhejiang Province Patentee before: JIAXING TONGHE SENSING TECHNOLOGY Co.,Ltd. |
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Denomination of utility model: Wireless low-power sensor network system for geological disaster early warning Effective date of registration: 20230307 Granted publication date: 20200526 Pledgee: Agricultural Bank of China Limited by Share Ltd. South Lake branch Pledgor: Zhejiang Tonghe Sensing Technology Co.,Ltd. Registration number: Y2023980034026 |
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