WO2022145834A1

WO2022145834A1 - Power saving method and system by determining operation pattern of energy harvesting sensor

Info

Publication number: WO2022145834A1
Application number: PCT/KR2021/019291
Authority: WO
Inventors: 김용호
Original assignee: 한국전자기술연구원
Priority date: 2020-12-31
Filing date: 2021-12-17
Publication date: 2022-07-07
Also published as: KR20220096315A

Abstract

Provided are a method and a system for saving power by determining an operation pattern of an energy harvesting sensor. The present invention operates a plurality of sensing devices by controlling operation patterns thereof according to importance of the sensing devices, in the field of sensor applications in which the continuity of sensed data is important, not by means of a method of managing the power of a sensor by controlling an existing sensing cycle, thereby reducing power consumption of the sensor, improving the lifespan of the sensor through power consumption management, and making it possible to minimize the drop in measured data.

Description

Power saving method and system by determining operation pattern of energy harvesting sensor

The present invention relates to a method and system for saving power by determining an operation pattern of an energy harvesting sensor, and more particularly, to a method and system for reducing an operation pattern through power measurement in a wireless sensor module composed of a plurality of sensing devices that consume a lot of energy. To a management method, a wireless sensor module determines an operation pattern in a server based on power consumption information consumed during a period in which a sensor device operates, and reduces power consumption without compromising the quality of data collected from the wireless sensor module It relates to a power management system and method capable of doing so.

In general, the wireless sensor module transmits data generated from a sensing device to a server for storage and analysis. At this time, in that the wireless sensor module uses a battery or an energy harvester, there is inevitably a problem with respect to the finiteness of power.

Accordingly, there is a demand for a power management method for minimizing power consumption in the wireless sensor module.

For example, in the process of monitoring wind direction, wind speed, temperature, humidity, dust, atmospheric pressure, gas, etc. for dust generation management in a power plant, information collected from wireless sensor modules installed in multiple places is required, and external such as solar cells Energy can be extracted from the environment through energy harvesting, but there is a limit to the energy supply of the wireless sensor module due to the limited energy supply that varies depending on the weather and the environment, making it difficult to spread the wireless sensor module.

In addition, the smart sensor periodically transmits the data collected by the wireless sensor to the central data collection center. When this is done, there is a disadvantage that replacement and maintenance costs are high.

Therefore, these shortcomings are being addressed through energy harvesting such as Solar Panel, PZT, and TEG.

Energy harvesting refers to a method in which power supplied from a harvesting source such as sunlight, vibration, or heat source is stored in a battery or supercapacitor, etc. do.

As such, a need arises for a method for maximizing the operating life of a sensor while minimizing power consumption in a wireless sensor module composed of a plurality of sensing devices that consume a lot of energy, such as an energy harvesting sensor.

An object of the present invention to achieve for the above problems relates to a method for determining an operation pattern and power management through power measurement in a wireless sensor module composed of a plurality of sensing devices that consume a large amount of energy, wherein the wireless sensor module is a sensor device Based on the power consumption information consumed during the operation period, the server determines the operation pattern and monitors the battery voltage/current for each operation cycle of the energy harvesting-based smart sensor to estimate SoH, which was impossible in the existing simple OCV method, and SoC estimation It aims to increase the accuracy of the sensor and reduce the battery maintenance/management cost of the sensor through SoH estimation in the server, enabling power consumption to be reduced without compromising the quality of data collected from the wireless sensor module.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

As a means for solving the above-described technical problem, according to an embodiment of the present invention, a power saving method through determining an operation pattern of an energy harvesting sensor includes one or more sensing devices, power consumption measuring sensors, MCUs, and RF Blocks. In the power saving method using a sensor module, a data collection server, an operation pattern control server and a database, (A) the sensor module collects the data by extracting an energy consumption pattern through current consumption measurement in the measurement process of the sensing device sending to a server; (B) the data collection server, collecting voltage and current data and energy consumption patterns measured by the sensing device through wireless communication and storing the data in the database; (C) performing, by the operation pattern control server, analyzing the voltage and current data, analyzing the power consumption according to the operation pattern of the sensing device through the energy consumption pattern, and predicting the power consumption of the energy harvester and the battery; (D) the operation pattern control server, based on the predicted result, determining the operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information, and transmitting the operation pattern to the sensor module ; and (E), by the sensor module, controlling the operation of the sensor in the MCU according to the received operation pattern of the sensing device.

In the step (A), the sensor module samples and measures the current supplied during the initialization period and the operation period of the sensing device during one cycle of the measurement process of the sensing device.

In the step (A), the sensor module detects an error of the sensing device by measuring the amount of power consumed by the sensing device during the initialization period of the sensing device.

In the step (C), the operation pattern control server estimates the SoC of the battery by analyzing power consumption information according to the operation pattern of the sensing device, and predicts energy harvestable through energy harvesting.

In step (C), the operation pattern control server estimates the SoH of the battery from the battery voltage drop according to the increase in power consumption in the process of estimating the SoC of the battery.

In the step (D), the operation pattern control server determines the operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information based on the predicted result, and sets the operation pattern to a plurality of sensors. passed to the module.

In the step (D), the operation pattern control server generates, as an operation pattern table, an operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information based on the predicted result, and the operation The pattern table is transmitted to the sensor module.

In step (E), the sensor module controls the unit operation of each of the one or more sensing devices according to the operation pattern table of the sensing device.

In step (E), the sensor module manages the power supply, such as turning on the power of the sensing device in the MCU to collect data or turning off the power to not collect data according to the received operation pattern of the sensing device. .

On the other hand, according to another embodiment of the present invention, the power saving system by determining the operation pattern of the energy harvesting sensor, the sensor module for measuring the voltage and current that change for each operation period of the sensor step by step; a data collection server that collects voltage and current data measured by the sensor module through wireless communication; an operation pattern control server that analyzes the voltage and current data to predict battery life and energy harvesting, and determines an operation pattern of the sensor module according to the prediction to control the operation of the sensor module; and a database for storing voltage and current data collected by the data collection server and battery life and energy harvesting predicted values predicted by the operation pattern control server.

The sensor module may include one or more sensing devices for measuring data; a power consumption measuring sensor for measuring power consumption during operation of the sensing device; an MCU (Micro Control Unit) that collects data and controls the operation of the sensor according to the operation pattern of the sensing device received from the operation pattern control server; and an RF Block for receiving data transmitted from the operation pattern control server.

The sensor module measures current sampling and data supplied to the sensing device during an initialization period and an operation period for one cycle of the measurement process of the sensing device, and measures the amount of power consumed by the sensing device during the initialization period of the sensing device It detects the error of the sensing device through

The operation pattern control server may include: a server analysis unit that analyzes power consumption according to an operation pattern of the sensing device through the voltage and current data; a server prediction unit that predicts energy harvesters and batteries; An operation pattern determination unit that determines an operation pattern for each power state of the sensing device according to the importance of information of the sensing device based on the power consumption analyzed by the server analysis unit and the prediction results of the energy harvester and the battery predicted by the server prediction unit ; and a server transmitter configured to transmit the determined operation pattern for each power state of the sensing device to the sensor module.

The server analysis unit calculates power consumption and voltage fluctuation values based on the voltage and current data according to a unit operation of the sensing device.

The server prediction unit estimates the SoC of the battery by analyzing the power consumption information according to the operation pattern of the sensing device, and estimates the SoH of the battery from the battery voltage drop according to the increase in power consumption in the process of estimating the SoC of the battery, It predicts the power consumed by each sensing device and the power that can be charged by the energy harvester.

The operation pattern determination unit, based on the power consumption analyzed by the server analysis unit and the prediction results of the energy harvester and the battery predicted by the server prediction unit, the power state of the sensing device managed by the sensor according to the importance of the information of the sensing device Each operation pattern is generated as an operation pattern table, and the operation pattern table is transmitted to the sensor module.

The sensor module, according to the operation pattern of the sensing device received from the operation pattern control server, the MCU manages the power supply, such as turning on the power of the sensing device to collect data or turning off the power to not collect data.

According to the present invention, the wireless sensor module determines the operation pattern in the server based on the power consumption information consumed during the operation period of the sensor device, and controls the existing sensing cycle by operating the sensing device according to the operation pattern for each sensor module. Therefore, compared to the method of reducing the power of the sensor, it is possible to minimize the deterioration of the quality of data collection while reducing the power.

In addition, the wireless sensor module determines the operation pattern in the server based on the power consumption information consumed during the operation period of the sensor device, thereby monitoring the battery voltage/current for each operation cycle of the energy harvesting-based smart sensor. Accuracy of SoC and SoH is improved by acquiring voltage/current information for each operating state compared to estimation, and SoH estimation is possible through voltage drop measurement after operation is finished. It is possible to reduce the management cost.

Effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a flowchart of a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention;

2 is a flowchart illustrating a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention;

3 is a block diagram illustrating a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention;

4 is a graph of power consumption change according to the sensing device operation;

5 is an exemplary diagram of an operation pattern table for each sensor module;

6 is a graph showing a change in power consumption according to a sensing device operation for each operation pattern;

7 is a configuration diagram of a power saving system through determination of an operation pattern of an energy harvesting sensor according to an embodiment of the present invention;

8 is a block diagram of a sensor module;

9 is a detailed configuration diagram of the power consumption prediction unit of FIG. 7 .

100: sensor module 110: sensing device

120: power consumption measuring sensor 130: MCU

140: RF Block 200: data collection server

300: operation pattern control server 310: server analysis unit

320: server prediction unit 321: SoC estimation unit

322: harvest energy prediction unit 323: SoH estimation unit

330: operation pattern determining unit 340: server transmission unit

400 : database

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed content may be thorough and complete, and the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

In this specification, when terms such as first, second, etc. are used to describe components, these components should not be limited by these terms. These terms are only used to distinguish one component from another. The embodiments described and illustrated herein also include complementary embodiments thereof.

Further, when it is stated that any element, component, device, or system includes a component consisting of a program or software, even if not explicitly stated, that element, component, device, or system means that the program or software is executed. Alternatively, it should be understood to include hardware (eg, memory, CPU, etc.) necessary for operation or other programs or software (eg, drivers necessary for operating an operating system or hardware, etc.).

In addition, the terms used herein are for the purpose of describing the embodiments and are not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the terms 'comprises' and/or 'comprising' do not exclude the presence or addition of one or more other components.

In addition, terms such as 'OO unit', 'OO unit', and 'module' described in this specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. can In addition, articles such as 'a', 'a' and 'the' in the context of describing the present invention include both the singular and the plural unless otherwise indicated herein or clearly contradicted by the context in the context of describing the present invention. can be used

In describing the specific embodiments below, various specific contents have been prepared to more specifically describe the invention and help understanding. However, a reader having enough knowledge in this field to understand the present invention may recognize that the present invention may be used without these various specific details.

In some cases, it is mentioned in advance that parts that are commonly known and not largely related to the invention are not described in order to avoid confusion without any reason in describing the present invention in describing the invention.

Hereinafter, specific technical contents to be practiced in the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart of a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention.

The power saving method by determining the operation pattern of the energy harvesting sensor according to an embodiment of the present invention includes one or more sensing devices 110 , power consumption measuring sensors 120 , MCU (Micro Control Unit) 130 , RF Block It relates to a power saving method using the sensor module 100 including the 140 , the data collection server 200 , the operation pattern control server 300 , and the database 400 .

Referring to FIG. 1 , the power saving method by determining the operation pattern of the energy harvesting sensor according to an embodiment of the present invention includes (A) measuring current consumption and extracting energy consumption pattern (S100), (B) collecting measured data to store in the database step (S200), (C) power consumption analysis by operation pattern and power consumption prediction step (S300) of the energy harvester and battery (S300), (D) operation pattern determination step (S400), (E) determined by power state It includes a sensor operation control step (S500) according to the operation pattern.

Here, the sensor module 100 mainly refers to a wireless sensor module capable of wireless communication.

Here, in (A) step (S100), the sensor module 100 extracts an energy consumption pattern through current consumption measurement in the measurement process of the sensing device and transmits it to the data collection server 200 .

Here, the sensor module 100 samples the current supplied during the initialization period and the operation period of the sensing device 110 during one cycle of the measurement process of the sensing device 110 , and measures data.

In addition, (A) in step (S100), the sensor module 100, during the initialization period of the sensing device 110, the power consumption measuring sensor 120 is sensed by measuring the amount of power consumed by the sensing device 110 Detect device errors.

In other words, the sensing device 110 samples the current supplied during the initialization period and the operation period of the sensing device in the data measurement process for one cycle, and the power consumption measuring sensor 120 consumes the sensing device 110 during operation. The resulting power is measured for each operation period of the sensor.

The operation cycle of the sensor may proceed to sleep, warm-up, operation, and sleep again.

As such, in (A) step (S100), the sensor module 100 transmits the measured data to the data collection server 200 through a communication unit such as a transmission block.

Here, the measured data may include measured voltage and current data and power consumption consumed in the measurement process of the sensing device 110 .

Also (B) in step (S200), the data collection server 200 collects the voltage and current data and the energy consumption pattern measured by the sensing device 110 through wireless communication and stores it in the database 400 .

After (C) in step (S300), the operation pattern control server 300 analyzes the power consumption according to the operation pattern of the sensing device 110 through the measured voltage and current data and the energy consumption pattern, and the energy harvester and predicting power consumption of the battery.

(C) In step S300, the operation pattern control server 300 estimates the SoC of the battery by analyzing power consumption information according to the operation pattern of the sensing device, and predicts energy harvestable through energy harvesting.

Also, in step (C) (S300), the operation pattern control server 300 estimates the SoH of the battery from the battery voltage drop according to the increase in power consumption in the process of estimating the SoC of the battery.

Here, the state of charge (SoC) and state of health (SoH) of the battery represent the state of the battery.

SoC and SoH values of the battery can be estimated from the power consumption and voltage drop of the battery.

Here, the estimated SoC and SoH values of the battery are stored in the database 400 .

In addition, (D) in step (S400), the operation pattern control server 300, based on the predicted result, the sensing device 110 according to the importance of the information according to the power state of the sensing device 110 managed by the sensor operation A pattern is determined and transmitted to the sensor module 100 .

Here, the importance of the information of the sensing device 110 means the importance of the information sensed by the sensing device 110 because it is possible to determine whether to operate for each operation period according to the importance of the data sensed by the sensing device 10 .

Here, the sensed data may include any one or more of wind direction, wind speed, temperature, humidity, dust, atmospheric pressure, and gas concentration.

Here, the operation pattern for each power state of the sensing device 110 may be an operation pattern table for each sensor module.

The operation pattern table may include operation patterns of each individual sensor or sensing device for each sensor module.

(D) In step S400 , the operation pattern control server 300 determines the operation pattern for each power state of the sensing device 110 and transmits the operation pattern to the sensor module 100 .

In other words, in (D) step (S400), the operation pattern control server 300 determines a control value to control the operation of the sensing device (110).

Also (E) in step (S500), the sensor module 100 receives the operation pattern through the RF Block 140 corresponding to the communication unit of the sensor module 100, the received operation pattern of the sensing device (110) Accordingly, the MCU 130 controls the operation of the sensor.

In step (E) (S500), the sensor module 100 turns on the power of the sensing device 110 in the MCU 130 according to the received operation pattern of the sensing device 110 to collect data or turn on the power. It manages the power supply, such as turning it off and not collecting data.

Here, the sensor module 100 may control the sensing device 110 according to the received operation pattern table.

In other words, in step (E) (S500), the MCU 130 of the sensor module 100 determines whether to operate the sensing device 110 according to the control value received from the operation pattern control server 300 .

In addition, in (D) step (S400), the operation pattern control server 300 may transmit the operation pattern of the sensing device 110 to the plurality of sensor modules 100, in this case (E) in step (S500), the sensing device Individual sensing devices 110 installed in a plurality of wireless sensor modules 100 that have received the operation pattern of 110 may be controlled.

Here, by controlling the operation pattern of the sensor module 100 to control the individual sensing devices 110 installed in the plurality of wireless sensor modules 100, it is possible to sense without degrading the quality of data.

In addition, in steps (D) (S400) and (E) (S500), among the results predicted in step (C) (S300), when the remaining amount of the battery collected through energy harvesting is at a level that the sensor can allow In this case, the operation pattern of the sensing device 110 may be controlled by collecting all data.

2 is a flowchart illustrating a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention.

Referring to FIG. 2 , the data flow and each operation method between the sensor module 100 , the data collection server 200 , the operation pattern control server 300 , and the database 400 may be illustrated.

2, (A) step (S100), the sensor module 100 extracts the energy consumption pattern through (A1) consumption current measurement (S110), (A2) the energy consumption pattern data collection server 200 and transmitting to (S120).

Here, in (A1) step (S110), the sensor module 100 samples the current supplied during the initialization period and the operation period of the sensing device 110 in the process of measuring data for one period in the sensing device 110, Data is measured, and during the initialization period of the sensing device 110 , the power consumption measuring sensor 120 detects an error of the sensing device by measuring the amount of power consumed by the sensing device 110 .

Also, in step (A1) (S110), the MCU 130 extracts the energy consumption pattern of the sensing device 110 through the measured current consumption information.

Such an energy consumption pattern may include, for example, an energy consumption pattern during a data measurement period including a standby mode, a warm-up, an operating mode, and a standby mode again.

In addition, in step (A2) (S120), the sensor module 100 transmits the energy consumption pattern extracted in step (A1) (S110) to the data collection server 200 through a communication unit such as a transmission block.

Referring to FIG. 2 , thereafter, the data collection server 200 collects the voltage and current data and the energy consumption pattern measured from the sensor module 100 , and stores it in the database 400 (B) step (S200). proceed

Thereafter, the operation pattern control server 300 performs (D) step (S400) through (C) step (S300).

Here, (C) step (S300) includes (C1) power consumption analysis by operation pattern and power consumption prediction step (S310) of the energy harvester and battery, (C2) storing SoC and SoH of the battery in the database 400 ( S320).

(C1) In step S310, the operation pattern control server 300 analyzes the received voltage and current data to calculate power consumption and voltage fluctuation values, and analyzes power consumption and voltage fluctuation values to estimate SoC and SoH Through this, the power consumption for each operation stage of the sensing device can be predicted, and the chargeable power of the energy harvester, that is, the energy harvestable through energy harvesting can be predicted.

Also (C2) in step (S320), the operation pattern control server 300 stores the generated SoC and SoH values of the battery in the database (400).

2, (D) step (S400), the operation pattern control server 300 (D1) determining the operation pattern for each power state of the sensing device (S410), (D2) the operation pattern for each power state and transmitting to the sensor module 100 (S420).

Here, (D1) step (S410), the operation pattern control server 300 based on the SoC, SoH estimate of the battery, which is the result predicted in step (C) (S300), and energy harvestable by energy harvesting sensing device ( 110) An operation pattern for each power state of the sensing device 110 managed by the sensor is determined according to the importance of information.

As such, the operation pattern control server 300 determines the importance of data measured by the plurality of sensing devices 110 included in the sensor module 100, and determines whether to collect data from the sensor for each power state.

In addition, in step (D2) (S420), the operation pattern control server 300 transmits the operation pattern for each power state of the sensing device 110 determined in step (D1) (S410) to the sensor module.

Thereafter, the sensor module 100 controls the sensor according to the operation pattern for each power state of the sensing device 110 received through the RF Block 140 corresponding to the communication unit of the sensor module 100 (E) step (S500) carry out

(E) In step S500, the MCU 130 of the sensor module 100 performs the operation of the sensing device 110 based on the operation pattern for each power state of the sensing device 110 received by the RF Block 140. control

Accordingly, the MCU 130 manages the power supply, such as turning on the power of the sensing device 110 to collect data or turning off the power to not collect data according to an operation pattern for each power state of the sensing device 110 .

3 is a block diagram illustrating a power saving method by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention.

Referring to FIG. 3 , in the power saving method by determining the operation pattern of the energy harvesting sensor according to the embodiment of the present invention, (A) step (S100), (B) step (S200), (C) step (S300) , (D) step (S400) is made sequentially.

Here, the operation pattern of the sensing device determined in step (D) (S400) is ID1, . . . , IDm, and one or more sensor devices 110 included in each sensor module 100 are S1, S2, S3, ... , Sn, the sensor device 110 to be operated is displayed in a bright color, and the sensor device 110 not to be operated is displayed in a dark color, and the operation pattern of this sensing device is a plurality of sensor modules ( 100) in the form of an operation pattern table expressing the operation pattern.

4 is a graph showing a change in power consumption according to an operation of a sensing device.

Referring to FIG. 4 , when the sensor module 100 includes four sensing devices 110 including sensing device 1 , sensing device 2 , sensing device 3 , and sensing device 4 , Sleep, Warming -up), operation, and in the operation cycle of the sensor proceeding to sleep again, power consumption according to the passage of time may be represented as shown in FIG. 4 .

Here, in the warm-up mode, the MCU 130 is prepared, and thereafter, the

individual sensing devices

1, 2, 3, and 4 are sequentially prepared (warming-up) and operated (data access), and then wireless communication. When the sensor data is transmitted to the data collection server 200 through the standby mode (Sleep).

Referring to FIG. 4 , since data measured for each sensing device are different in wind direction, wind speed, temperature, humidity, dust, atmospheric pressure, gas concentration, and the like, power consumed for each operation of each sensing device is different.

* Referring to FIG. 4 , the sensing device 3 has relatively low power consumption and the sensing device 4 has relatively high power consumption.

5 is an exemplary diagram of an operation pattern table for each sensor module.

Referring to FIG. 5 , the operation pattern table in which the operation pattern determined in step (D) is expressed may be represented as follows.

ID1, ID2, ID3, and ID4 described in the first column on the left represent IDs of the respective sensor modules 100 .

Also, 1, 2, 3, and 4 described in the right row indicate the number of each individual sensor, that is, the sensing device 110 .

For example, sensing device 1 may measure a wind direction, sensing device 2 may measure wind speed, sensing device 3 may measure temperature, and sensing device 4 may measure humidity.

5, in ID1, all

sensing devices

1, 2, 3, and 4 are expressed in an activated state, in ID2 only sensing device 1 is activated, in ID3 only sensing device 2 is activated, in ID4 It expresses the state that only sensing device 3 is activated.

The operation of the sensing device 110 may be controlled such as an operation pattern according to the power consumption analysis according to the unit operation of the sensing device 110 and the prediction of battery and energy harvesting.

To this end, the operation pattern control server 300 generates and transmits an operation pattern for each wireless sensor module so that the occurrence of data quality deterioration is minimized by designating operation patterns for each wireless sensor module when the battery state is generally deteriorated.

Therefore, the operation pattern control server 300 controls the operation pattern of the sensing device to collect the entire data when the remaining amount of the battery collected through energy harvesting is at a level that the sensor can allow.

In this regard, FIG. 6 is a graph showing a change in power consumption according to an operation of a sensing device for each operation pattern.

Referring to FIG. 6, FIG. 6-(a) shows the power consumption of the wireless sensor module 1 that may correspond to ID1 of FIG. 5, and all

sensing devices

1, 2, 3, and 4 operate over time. appears to have been

6-(b) shows the power consumption of the wireless sensor module 2 that can correspond to ID2 of FIG. 5, and it appears that only the sensing device 1 operates over time.

6-(c) shows the power consumption of the wireless sensor module 3 that can correspond to ID3 of FIG. 5, and it appears that only the sensing device 2 operates over time.

6-(d) shows the power consumption of the wireless sensor module 4 that can correspond to ID4 of FIG. 5, and it appears that only the sensing device 3 operates over time.

As such, the operation pattern of the sensing device 110 determined in step (D) ( S400 ) may be variously determined according to the importance of information of the sensing device, and may be a method for minimizing the information gap.

7 is a block diagram of a system for saving power by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention.

Referring to FIG. 7 , a power saving system by determining an operation pattern of an energy harvesting sensor according to an embodiment of the present invention includes a sensor module 100 , a data collection server 200 , an operation pattern control server 300 and a database. (400).

Here, the sensor module 100 measures data with one or more sensing devices, extracts an energy consumption pattern through current consumption measurement in the measurement process of the sensing device, and transmits it to the operation pattern control server, and in the operation pattern control server The sensor is operated according to the received operation pattern of the sensing device.

In addition, the sensor module 100 includes a sensing device 110 , a power consumption measuring sensor 120 , an MCU 130 , and an RF Block 140 .

Here, the sensing device 110 is a sensor that measures data, and the sensor module 100 includes at least one sensing device 110 .

Here, the power consumption measuring sensor 120 measures power consumption when the sensing device 110 operates.

Here, the MCU 130 means a processor that collects data with a Micro Control Unit and controls the overall operation of the sensor module 100 according to the operation pattern of the sensing device received from the operation pattern control server, and the controller ), a central processing unit (CPU), a micro processing unit (MPU), an application processor (AP), a communication processor (CP), an ARM processor, or the like.

Here, the MCU 130 does not manage the power of the sensor by controlling the sensing cycle as in the conventional sensing power management technology, but a sensor with low importance among the plurality of sensing devices 110 in a sensor application in which the continuity of sensed data is important. Controls the operation of the sensor module 100 according to the operation pattern of the sensing device 110 by adjusting the data collection of

Here, the RF block 140 generally corresponds to a reception block, and means a portion in which wireless communication is performed, such as being able to receive data transmitted from the operation pattern control server 300 .

However, it may be used in the sense of a communication unit including a transmission block.

Here, RF (Radio Frequency) means a frequency generally used for wireless communication, and may mean a frequency within an electromagnetic wave spectrum region of 10 kHz to 300 GHz.

As such, the sensor module 100 measures the current sampling and data supplied to the sensing device during an initialization period and an operation period for one cycle of the measurement process of the sensing device, and measures the amount of power consumed by the sensing device during the initialization period of the sensing device Detects the error of the sensing device through

8 is a block diagram of a sensor module.

Referring to FIG. 8 , the part measuring the sensor battery in the sensor module 100 includes an energy source, a power management IC (PMIC, power management IC), a microcontroller and a load (MCU & Load), and analog-digital. It may include a conversion circuit (ADC), a shunt resistor, and a battery.

Here, the energy source includes sunlight, vibration, heat source, and the like.

Here, the shunt resistor is a shunt resistor, and the difference between the battery voltage and the load voltage is generated by the current passing through the shunt resistor. According to the change in the operating state of the wireless sensor, the current is measured by measuring the difference between the two voltages and using the fixed resistance value. included to do

Here, the battery is a battery that is a target of state estimation, and its state may be expressed through a state of charge (SoC) and a state of health (SoH).

The data measured by the sensor module 100 is transmitted to the data collection server 200 , and the data collection server 200 collects the measured data and stores it in the database 400 .

In the voltage and current measurement structure applied to the sensor in the present invention, the difference between the battery voltage and the load voltage occurs due to the current passing through the shunt resistor. It measures the current and transmits the measured voltage and current information through wireless communication.

In addition, the operation pattern control server 300 analyzes the voltage and current data to analyze the energy consumption pattern, and determines the operation pattern of the sensing device 110 according to the prediction, and transmits it to the sensor module 100 .

Referring to FIG. 7 , the operation pattern control server 300 includes a server analysis unit 310 , a server prediction unit 320 , an operation pattern determination unit 330 , and a server transmission unit 340 .

Here, the server analysis unit 310 analyzes power consumption according to the operation pattern of the sensing device 110 .

The server analysis unit 310 analyzes power consumption according to the operation pattern of the sensing device 110 through the voltage and current data and/or power consumption measured by the sensor module 100, for example, standby, preparation, operation , and a power consumption pattern according to an operation pattern of a sensing device is analyzed by analyzing an energy consumption pattern during a data measurement period of one period including a standby mode.

Here, the server prediction unit 320 predicts power consumption of the energy harvester and the battery.

9 is a detailed configuration diagram of the server prediction unit of FIG. 7 .

Referring to FIG. 9 , the server predictor 320 may include an SoC estimator 321 , a harvest energy predictor 322 , and an SoH estimator 323 .

Here, the SoC estimator 321 estimates the SoC of the battery based on power consumption information according to the operation pattern of the sensing device analyzed by the server analysis unit 310 .

Here, the harvested energy prediction unit 322 predicts the power consumed by each sensing device and the power that can be charged by the energy harvester based on the power consumption information analyzed by the server analysis unit 310 .

Here, the SoH estimator 323 estimates the SoH of the battery based on the battery voltage drop value according to the increase in power consumption obtained in the process of estimating the SoC of the battery by the SoC estimator 221 .

In addition, the operation pattern determining unit 330 senses according to the importance of the information of the sensing device based on the power consumption analyzed by the server analysis unit 310 and the prediction results of the energy harvester and the battery predicted by the server prediction unit 320 . An operation pattern for each power state of the device 110 is determined.

Accordingly, the operation pattern determiner 330 determines the importance of data measured by the plurality of sensing devices 110 included in the sensor module 100, and determines whether to collect data from the sensor for each power state.

In addition, the operation pattern determination unit 330 is a sensor according to the importance of the information of the sensing device based on the power consumption analyzed by the server analysis unit 310 and the prediction results of the energy harvester and the battery predicted by the server prediction unit 320 . may generate an operation pattern for each power state of the sensing device 110 managed by the operation pattern table, and transmit the operation pattern table to the sensor module 100 .

That is, the operation pattern for each power state of the sensing device 110 may be generated as an operation pattern table.

Here, the operation pattern table may include whether the individual sensing device 110 operates for each sensor module 100 as shown in FIG. 5 .

In addition, the server transmitter 340 transmits the operation pattern for each power state of the sensing device 110 determined by the operation pattern determiner 330 to the sensor module 100 .

Here, the transmission mainly uses wireless communication, which may include a wireless transceiver such as an RF receiver.

As such, the operation pattern for each power state of the sensing device 110 determined by the operation pattern determiner 330 is transmitted to the sensor module 100 so that the sensor module 100 is the sensing device 110 received from the RF Block 140 . The power supply of the sensing device 110 is managed based on the operation pattern for each power state.

Then, the sensor module 100 turns on the power of the sensing device in the MCU 130 to collect data or turns off the power to collect data according to the operation pattern of the sensing device 110 received from the operation pattern control server 300 . Control the power supply, such as not to do so.

In the conventional sensing power management technology, the method of managing the power of the sensor by controlling the sensing period has been mainstream, but the method and system for power saving by determining the operation pattern of the energy harvesting sensor according to the embodiment of the present invention, the sensing In sensor applications where the continuity of data is important, the power consumption of the entire sensor module can be reduced by adjusting the operation pattern of the sensor to reduce the number of times of data collection of a low-importance sensor compared to a high-importance sensing device among a number of sensing devices. There is a difference in making it possible.

The above description is merely illustrative of the technical idea of this embodiment, and a person skilled in the art to which this embodiment belongs may make various modifications and variations without departing from the essential characteristics of the present embodiment. Accordingly, the present embodiments are intended to explain rather than limit the technical spirit of the present embodiment, and the scope of the technical spirit of the present embodiment is not limited by these embodiments. The protection scope of this embodiment should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present embodiment.

Claims

In the power saving method using one or more sensing device, power consumption measuring sensor, MCU, a sensor module including an RF block, a data collection server, an operation pattern control server, and a database,

(A) the sensor module, extracting an energy consumption pattern through current consumption measurement in the measurement process of the sensing device and transmitting it to the data collection server;

(B) the data collection server, collecting voltage and current data and energy consumption patterns measured by the sensing device through wireless communication and storing the data in the database;

(C) performing, by the operation pattern control server, analyzing the voltage and current data, analyzing the power consumption according to the operation pattern of the sensing device through the energy consumption pattern, and predicting the power consumption of the energy harvester and the battery;

(D) the operation pattern control server, based on the predicted result, determining the operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information, and transmitting the operation pattern to the sensor module ; and

(E) controlling, by the sensor module, the operation of the sensor in the MCU according to the received operation pattern of the sensing device;

Power saving method by determining the operation pattern of the energy harvesting sensor comprising a.
According to claim 1,

The step (A) is,

The sensor module is configured to sample and measure the current supplied during the initialization period and the operation period of the sensing device during one cycle of the measurement process of the sensing device

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
3. The method of claim 2,

The step (A) is,

The sensor module is configured to detect an error in the sensing device by measuring the amount of power consumed by the sensing device during the initialization period of the sensing device.

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
According to claim 1,

The step (C) is,

The operation pattern control server estimates the SoC of the battery by analyzing power consumption information according to the operation pattern of the sensing device, and predicts energy harvestable through energy harvesting

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
5. The method of claim 4,

The step (C) is,

The operation pattern control server, in the process of estimating the SoC of the battery, estimating the SoH of the battery from the battery voltage drop according to the increase in power consumption

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
According to claim 1,

The step (D) is,

The operation pattern control server determines the operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information based on the predicted result, and transmits the operation pattern to a plurality of sensor modules

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
According to claim 1,

The step (D) is,

The operation pattern control server generates an operation pattern for each power state of the sensing device managed by the sensor according to the importance of the sensing device information based on the predicted result as an operation pattern table, and converts the operation pattern table to the sensor module to convey

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
8. The method of claim 7,

The step (E) is,

The sensor module controls the unit operation of each of the one or more sensing devices according to the operation pattern table of the sensing device

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
According to claim 1,

The step (E) is,

The sensor module manages the power supply, such as turning on the power of the sensing device in the MCU to collect data or turning off the power to not collect data according to the received operation pattern of the sensing device

Power saving method by determining the operation pattern of the energy harvesting sensor, characterized in that.
A sensor module for measuring the voltage and current that change for each operation period of the sensor step by step;

a data collection server that collects voltage and current data measured by the sensor module through wireless communication;

an operation pattern control server that analyzes the voltage and current data to predict battery life and energy harvesting, and determines an operation pattern of the sensor module according to the prediction to control the operation of the sensor module; and

a database for storing voltage and current data collected by the data collection server and battery life and energy harvesting predicted values predicted by the operation pattern control server;

Power saving system by determining the operation pattern of the energy harvesting sensor comprising a.
11. The method of claim 10,

The sensor module is

one or more sensing devices for measuring data;

a power consumption measuring sensor for measuring power consumption during operation of the sensing device;

an MCU (Micro Control Unit) that collects data and controls the operation of the sensor according to the operation pattern of the sensing device received from the operation pattern control server; and

an RF Block for receiving data transmitted from the operation pattern control server;

Power saving system by determining the operation pattern of the energy harvesting sensor comprising a.
12. The method of claim 11,

The sensor module is

During one cycle of the measurement process of the sensing device, current sampling and data supplied to the sensing device during the initialization period and operation period are measured, and the amount of power consumed by the sensing device during the initialization period of the sensing device is measured through the sensing device error to detect

Power saving system by determining the operation pattern of the energy harvesting sensor, characterized in that.
12. The method of claim 11,

The operation pattern control server,

a server analysis unit analyzing power consumption according to an operation pattern of the sensing device through the voltage and current data;

a server prediction unit that predicts energy harvesters and batteries;

An operation pattern determination unit that determines an operation pattern for each power state of the sensing device according to the importance of information of the sensing device based on the power consumption analyzed by the server analysis unit and the prediction results of the energy harvester and the battery predicted by the server prediction unit ; and

a server transmission unit transmitting the determined operation pattern for each power state of the sensing device to the sensor module;

Power saving system by determining the operation pattern of the energy harvesting sensor comprising a.
14. The method of claim 13,

The server analysis unit,

Calculating power consumption and voltage fluctuation values through the voltage and current data according to the unit operation of the sensing device

Power saving system by determining the operation pattern of the energy harvesting sensor, characterized in that.
14. The method of claim 13,

The server prediction unit,

The SoC of the battery is estimated by analyzing the power consumption information according to the operation pattern of the sensing device, and the SoH of the battery is estimated from the battery voltage drop according to the increase in power consumption in the process of estimating the SoC of the battery. Predicting how much power a power and energy harvester can charge

Power saving system by determining the operation pattern of the energy harvesting sensor, characterized in that.
14. The method of claim 13,

The operation pattern determining unit,

Based on the power consumption analyzed by the server analysis unit and the prediction results of the energy harvester and the battery predicted by the server prediction unit, the operation pattern for each power state of the sensing device managed by the sensor according to the importance of the information of the sensing device. Creating a table and transmitting the operation pattern table to the sensor module

Power saving system by determining the operation pattern of the energy harvesting sensor, characterized in that.
12. The method of claim 11,

The sensor module is

Managing power supply, such as turning on the power of the sensing device in the MCU to collect data or turning off the power to not collect data according to the operation pattern of the sensing device received from the operation pattern control server

Power saving system by determining the operation pattern of the energy harvesting sensor, characterized in that.