CN112732063A - Low-power-consumption management method for water conservancy composite monitoring equipment - Google Patents
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Abstract
The invention relates to a low-power consumption management method of water conservancy composite monitoring equipment, which comprises the following steps of: collecting composite sensor data; calculating a risk factor according to the acquired data of the composite sensor; comparing the calculated risk factor with a threshold value to determine whether sensor data needs to be reported frequently, and if the sensor data does not need to be reported frequently, enabling the equipment to enter a deep sleep state and be awakened by remote equipment in the air; if the report needs to be reported frequently, the equipment enters a light sleep state and is awakened by the RTC of the equipment. The invention can effectively reduce the power consumption of the composite monitoring equipment, greatly improve the field survivability of the equipment and effectively reduce the maintenance cost of the equipment.
Description
Technical Field
The invention relates to the technical field of water conservancy compound monitoring, in particular to a low-power-consumption management method of water conservancy compound monitoring equipment.
Background
The water conservancy composite monitoring equipment monitors data indexes such as rainfall, soil temperature and humidity, river flow velocity, river water level, river sand content and the like in real time by randomly arranging a plurality of sensor types in an area where geological disasters frequently occur, and transmits the data to a monitoring and early warning platform through a wireless module to provide real-time information service for disaster prevention and reduction. In practical application, geological disaster prone areas are often remote in position, rare in human smoke and difficult to maintain. Therefore, the composite monitoring equipment laid in the field needs to meet the characteristics of low power consumption, maintenance-free performance, strong viability and the like.
Disclosure of Invention
The invention aims to provide a low-power-consumption management method for water conservancy composite monitoring equipment, which can effectively improve the field survival time and the management level of the water conservancy composite monitoring equipment and obviously reduce the maintenance cost of the equipment.
The technical scheme adopted by the invention for solving the technical problems is as follows: the low-power-consumption management method of the water conservancy composite monitoring equipment comprises the following steps of:
(1) collecting composite sensor data;
(2) calculating a risk factor according to the acquired data of the composite sensor;
(3) comparing the calculated risk factor with a threshold value, and determining whether sensor data needs to be reported frequently, if so, the equipment enters a deep sleep state and is awakened by remote equipment in the air; if the report is frequently required, the equipment enters a light sleep state and is awakened by the RTC of the equipment.
The composite sensor data collected in the step (1) comprises rainfall capacity, soil temperature and humidity, river flow rate, river water level and river sand content.
The step (2) specifically comprises the following substeps:
(21) calculating a statistical mean value of the current moment according to the current sampling value of each sensor;
(22) calculating the current risk factor value by using the current sampling value, the statistical mean value, the weight coefficient and the risk factor value at the previous moment of the various sensors, wherein the calculation mode is as follows:
where k is the current sampling time, wnIs the weighted value of the nth sensor, and
Λn(k) sample value, E (Λ), of the nth sensor at time kn) And represents the statistical mean value of the nth sensor, and rho (k) is the risk factor value calculated at the moment k.
The device in the step (3) enters a deep sleep state, and the awakening process when the remote device is awakened in the air is as follows: firstly, remote equipment sends a group of awakening codes facing specific equipment through a wireless network to awaken a wireless module in a dormant state in target equipment; after the wireless module is awakened, the micro control unit in the deep sleep state is awakened in an interrupt mode; after the micro control unit is awakened, the power supplies of various sensors are turned on in advance according to needs; reading the data of the sensor and storing the data; turning off power supplies of all the sensors; the micro control unit determines whether to report the acquired data immediately, and if so, the micro control unit sends the data to the wireless module and the wireless module reports the data; and when the reporting action is executed and the wireless module is in an idle state, the micro control unit and the wireless module both enter a dormant state to wait for next awakening.
And (3) the equipment enters a light sleep state, and the awakening process when the equipment is awakened by the RTC is as follows: the micro control unit in a partial sleep state is awakened by an RTC clock of the micro control unit periodically; after the micro control unit is awakened, the power supplies of various sensors are turned on in advance according to requirements; reading data of the sensor and storing the data; turning off the power supply of all the sensors; activating the wireless module, and sending the data to the wireless module by the micro control unit, and reporting the data by the wireless module; and when the reporting action is finished and the wireless module is in an idle state, the wireless module is closed, and the micro control unit enters a partial dormancy state and waits for awakening next time.
When the power supplies of various sensors are started in advance according to needs, the advance time is the power-on stable time of each sensor.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: the invention utilizes the composite situation prejudgment of the multiple sensors to dynamically adjust the data acquisition frequency and the wireless reporting frequency, can effectively reduce the power consumption of the composite monitoring equipment, greatly improves the field viability of the equipment and effectively reduces the maintenance cost of the equipment.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a flow chart of risk factor calculation and update in an embodiment of the present invention;
FIG. 3 is a flowchart illustrating wake-up in a deep sleep state according to an embodiment of the present invention;
fig. 4 is a wake-up flow chart of a light sleep state in an embodiment of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The embodiment of the invention relates to a low-power consumption management method for water conservancy composite monitoring equipment.
The composite monitoring device adopted by the embodiment comprises a low-power consumption MCU, a plurality of sensors (rainfall sensor, soil humidity sensor, flow rate sensor, water level sensor, sand content sensor), a wireless transceiver module, a power supply and an interface module, as shown in figure 1, the composite monitoring device comprises the following steps:
1) after the machine is started and powered on, firstly, sequentially initializing the MCU chip, the multi-type composite sensor and the wireless transceiver module;
2) the equipment starts to access a wireless network after initialization is completed, and whether access is successful or not is confirmed through wireless application service;
3) RTC synchronization is carried out on the equipment after the equipment is accessed to the network;
4) starting and collecting the data of the composite sensor in advance according to the stable time of different sensors;
5) calculating and updating the current risk factor value according to the acquired data conforming to the sensor;
6) comparing the calculated risk factor value with a threshold value to determine whether sensor data needs to be reported frequently;
7) if the report is not required frequently, the equipment enters a deep sleep state and is awakened by the remote equipment in the air;
8) if the report needs to be reported frequently, the equipment enters a light sleep state and is awakened by the RTC of the local equipment.
In this embodiment, the calculation and update process of the risk factor is shown in fig. 2, and includes the following steps:
1) acquiring data of a current composite sensor, wherein the data comprises parameters such as rainfall capacity, soil temperature and humidity, river flow velocity, river water level, river sand content and the like;
2) calculating a statistical mean value of the current moment according to the current sampling value of each sensor, as shown in formula (2);
3) calculating the current risk factor value by using the current sampling value, the statistical mean value, the weight coefficient and the risk factor value at the previous moment of the various sensors, as shown in formula (1);
4) comparing the current risk factor value with a dynamic threshold value issued by a server;
5) and the device selects to enter a deep sleep state or a light sleep state according to the comparison result.
Wherein, the risk factor calculation formula is as follows:
E(Λn(k))＝(1-μ)E(Λn(k-1))+μΛn(k)≈E(Λn) (2)
where k is the current sampling instant, { wnN is 1, …,5, and corresponds to the weight values of rainfall, soil humidity, river flow rate, water level and sand content, respectively
Λn(k) Sample value, E (Λ), of the nth sensor at time kn) And p (k) is a risk factor value calculated at the moment k, mu is a mean convergence coefficient, and mu is less than 1.
The deep sleep state in this embodiment means that when the device does not need to report data frequently, the wireless module and the main control MCU chip are both in a deep sleep state, all the sensor power supplies and peripheral functions are turned off, so that the power consumption of the device is reduced to uA level, and can be awakened by the outside, and the specific operation flow of awakening is shown in fig. 3:
1) when the device in the deep sleep state is required to acquire and send sensor data, a group of wake-up codes facing to specific devices are sent through a wireless network, so that a wireless module in the sleep state in target devices can be woken up;
2) after the wireless module is awakened, the MCU in the deep sleep state is awakened through the interrupt IO;
3) after the MCU is awakened, the power supplies of 1-5 sensors are turned on in advance according to needs, and the advance time is the power-on stable time of each sensor;
4) reading and storing sensor data, and facilitating offline acquisition;
5) turning off power supplies of all the sensors;
6) the MCU determines whether to report the acquired data immediately or not, and if so, the data is sent to the wireless module through the serial port;
7) and when the reporting action is executed and the wireless module is in an idle state, the MCU and the wireless module both enter a dormant state to wait for next awakening.
The shallow sleep state in this embodiment means that when the device needs to report data frequently, the wireless module is in the deep sleep state, and all the sensor power supplies and peripheral functions are turned off, and the MCU chip is in the partial sleep state, and is awakened by its own RTC clock at regular time, and the specific operation flow of awakening is shown in fig. 4:
1) the MCU chip in the partial dormancy state is awakened by the RTC clock of the MCU chip periodically;
2) after the MCU is awakened, the power supplies of 1-5 sensors are turned on in advance according to needs, and the advance time is the power-on stable time of each sensor;
3) reading and storing sensor data, and facilitating offline acquisition;
4) turning off power supplies of all the sensors;
5) activating the wireless module, and transmitting data to the wireless module by the MCU through the serial port;
6) and when the reporting action is executed and the wireless module is in an idle state, the wireless module is closed, and the MCU enters a partial sleep state to wait for next awakening.
The sensor of the device adopted by the embodiment adopts 12V power supply, the power consumption current is large, the power-on and power-off are controlled by the MCU, and the power-on is only carried out in the acquisition time period. MCU chip and wireless transceiver module all adopt the power supply of 3.3V, under the condition of closing other peripheral, have carried out the consumption measurement alone to various operations of system such as data transmission, receipt, MCU work and dormancy etc.: the radio frequency communication frequency is 420MHz, the output power of the transmitted data is 25dBm, the measured average current is about 360mA, the receiving state is about 22mA, and the sleeping state is about 40 uA; the MCU working current is 18mA, the average current is 2mA during partial dormancy, and the average current is only 115uA during deep dormancy. In a deep sleep state, only the wireless module and the MCU of the system work in a deep sleep state, the power consumption of the system is about 170uA, in a shallow sleep state, the MCU of the system works in a partial sleep state, partial peripheral IO has power consumption, the power consumption of the system is about 3mA, and in actual measurement, under the condition that the data reporting frequency is 20 minutes/time, the stable working time of the system can reach more than two years according to the computing equipment.
The invention can dynamically adjust the data acquisition frequency and the wireless reporting frequency by using the composite situation prejudgment of the multiple sensors, can effectively reduce the power consumption of the composite monitoring equipment, greatly improves the field viability of the equipment and effectively reduces the maintenance cost of the equipment.
Claims (6)
1. A low-power consumption management method of a water conservancy composite monitoring device is characterized by comprising the following steps:
(1) collecting composite sensor data;
(2) calculating a risk factor according to the acquired data of the composite sensor;
(3) comparing the calculated risk factor with a threshold value to determine whether sensor data needs to be reported frequently, and if the sensor data does not need to be reported frequently, enabling the equipment to enter a deep sleep state and be awakened by remote equipment in the air; if the report needs to be reported frequently, the equipment enters a light sleep state and is awakened by the RTC of the equipment.
2. The low-power management method for the water conservancy composite monitoring equipment according to claim 1, wherein the composite sensor data collected in the step (1) comprises rainfall, soil temperature and humidity, river flow rate, river level and river sand content.
3. The low-power-consumption management method for the water conservancy compound monitoring equipment according to claim 1, wherein the step (2) specifically comprises the following substeps:
(21) calculating a statistical mean value of the current moment according to the current sampling value of each sensor;
(22) calculating the current risk factor value by using the current sampling value, the statistical mean value, the weight coefficient and the risk factor value at the previous moment of the various sensors, wherein the calculation mode is as follows:
where k is the current sampling time, wnIs the weighted value of the nth sensor, and
Λn(k) sample value, E (Λ), of the nth sensor at time kn) And p (k) is a risk factor value calculated at the moment k.
4. The low-power-consumption management method for the water conservancy composite monitoring equipment according to claim 1, wherein the equipment in the step (3) enters a deep sleep state, and the wake-up process when the remote equipment wakes up in the air is as follows:
firstly, remote equipment sends a group of awakening codes facing specific equipment through a wireless network to awaken a wireless module in a dormant state in target equipment;
after the wireless module is awakened, the micro control unit in the deep sleep state is awakened in an interrupt mode;
after the micro control unit is awakened, the power supplies of various sensors are turned on in advance according to needs;
reading data of the sensor and storing the data;
turning off power supplies of all the sensors;
the micro control unit determines whether to report the acquired data immediately, if so, the data is sent to the wireless module and reported by the wireless module; and when the reporting action is executed and the wireless module is in an idle state, the micro control unit and the wireless module both enter a dormant state and wait for next awakening.
5. The low-power management method for the water conservancy compound monitoring equipment according to claim 1, wherein in the step (3), the equipment enters a light sleep state, and a wake-up process when the equipment is woken up by the RTC of the equipment is as follows:
the micro control unit in the partial dormancy state is awakened by the RTC clock of the micro control unit periodically;
after the micro control unit is awakened, the power supplies of various sensors are turned on in advance according to needs;
reading data of the sensor and storing the data;
turning off power supplies of all the sensors;
activating the wireless module, and sending the data to the wireless module by the micro control unit, and reporting the data by the wireless module;
and when the reporting action is executed and the wireless module is in an idle state, the wireless module is closed, and the micro control unit enters a partial dormancy state to wait for next awakening.
6. The low-power-consumption management method of water conservancy composite monitoring equipment according to claim 4 or 5, wherein the advanced time is the power-on stable time of each sensor when the power supply of each sensor is turned on in advance according to the requirement.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114117356A (en) * | 2021-10-25 | 2022-03-01 | 海南云智联科技有限公司 | Method and equipment for realizing remote low-power-consumption sensor |
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| CN112702706A (en) * | 2020-12-14 | 2021-04-23 | 上海事凡物联网科技有限公司 | Water conservancy composite sensor reporting frequency adjusting method, system, terminal and medium |
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| US20120054379A1 (en) * | 2010-08-30 | 2012-03-01 | Kafai Leung | Low power multi-touch scan control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114117356A (en) * | 2021-10-25 | 2022-03-01 | 海南云智联科技有限公司 | Method and equipment for realizing remote low-power-consumption sensor |
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