KR102393980B1 - Method and device for logging data with ultra-low power using energy harvesting - Google Patents

Abstract

A smart data logger according to an embodiment of the present invention includes an RFID integrated energy collection module that receives a wake-up command from a reader in a data logger inactive mode and converts an RF signal received from at least one of the reader and the RF generator into power; Set the parameters for the data logger based on the setting information included in the wake-up command, activate the data logger to change the operation mode of the data logger to the data logger active mode, and log data in the data logger active mode It may include a microprocessor that generates the logging data, a memory in which the logging data is recorded, an electronic paper display, and a battery for supplying power required to drive the microprocessor and the electronic paper display.

Description

Method and device for logging data with ultra-low power using energy harvesting

The present invention relates to ultra-low-power data logging technology, and more particularly, to a method and apparatus having an energy harvesting function to enable logging of data with ultra-low power.

The cold chain industry is rapidly growing due to the recent changes in the distribution structure.

As the income level of consumers increases, the consumption level is also improving, and the cold chain industry is growing along with the desire of consumers to purchase fresher and higher quality products.

Major global e-commerce companies such as Amazon and Alibaba, as well as many domestic online shopping malls including Coupang and Market Kurly, are providing a variety of fresh food delivery services.

While the growth rate of the global economy and container market has been growing at a low level of 2-3% recently, the global cold chain market is showing a very high growth rate of around 10%, and it is expected that the average annual growth rate will reach 15% until 2025. Further growth is expected.

Therefore, there is a need for a technology for efficient management of the reliability inventory and distribution process of fresh food.

It is an object of the present invention to provide an ultra-low-power data logging method using energy harvesting, and an apparatus and system for the same.

Another object of the present invention is to provide logged data according to a reader's request after logging by real-time monitoring through a sensor equipped with a product distribution environment, and to display the corresponding information on a display provided when a specific event occurs. To provide a label or smart data logger.

Another object of the present invention is to provide an electronic shelf label (ESL) or removable electronic label or smart data logger equipped with an electronic paper-based small display capable of maximizing battery usage time by mounting an energy harvesting function.

Another object of the present invention is to provide a smart data logger system capable of real-time monitoring of a distribution environment of a corresponding product through a mobile app in a cloud environment.

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

A data logging method in a smart data logger according to an embodiment of the present invention includes the steps of receiving a wakeup command from a reader in a data logger inactive mode, and a parameter for the data logger based on setting information included in the wakeup command Setting up a data logger according to the wake-up command, switching to a data logger active mode, performing a data logging operation in the data logger active mode, and storing logging data in a memory provided can

In an embodiment, the smart data logger includes at least one application sensor and a timer, and the setting information includes active/inactive indicator information for activating or deactivating the data logger and data logging for setting a sensing period for each application sensor. It may include at least one of period information, risk event threshold information for detecting a risk event for each sensor, and current time information to be set in the timer.

In an embodiment, the application sensor may include at least one of a temperature sensor, a humidity sensor, and a motion sensor.

In an embodiment, the method further includes detecting the dangerous event while performing the data logging operation, and outputting a warning alarm corresponding to the detected dangerous event on a provided electronic paper display when the dangerous event is detected can do.

In an embodiment, the step of detecting the dangerous event while performing the data logging operation includes obtaining a sensing value for each application sensor when the data logging cycle arrives, and the sensing value obtained for each application sensor and the corresponding application sensor The method may include comparing a critical event threshold and determining that the dangerous event has occurred when the sensed value exceeds the critical event threshold.

In an embodiment, the warning alarm may include a sensing value corresponding to the detected dangerous event and information about a time at which the dangerous event is detected.

In an embodiment, the method may further include generating power using an RF signal received from at least one of the reader and the RF generator, and driving the data logger using the generated power.

In an embodiment, a current of 1 microampere (μA) or less may be consumed in the data logger inactive mode, and a current of several tens of μA may be consumed in the data logger active mode.

In an embodiment, the method includes the steps of receiving a control signal from the reader while performing the data logging operation and, when the received control signal is a read command, reading the logging data stored in the memory and transmitting the logging data to the reader may include more.

A smart data logger according to another embodiment of the present invention receives a wake-up command from a reader in a data logger inactive mode, and converts an RF signal received from at least one of the reader and the RF generator into power. Set parameters for the data logger based on the setting information included in the wake-up command, activate the data logger to change the operation mode of the data logger to the data logger active mode, and log data in the data logger active mode It may include a microprocessor that generates the data, a memory in which the logging data is recorded, an electronic paper display, and a battery for supplying power required to drive the microprocessor and the electronic paper display.

In an embodiment, the smart data logger further includes at least one application sensor and a timer, and the setting information includes active/inactive indicator information for activating or deactivating the data logger and data for setting a sensing period for each application sensor. It may include at least one of logging period information, risk event threshold information for detecting a risk event for each application sensor, and current time information to be set in the timer.

In an embodiment, the application sensor may include at least one of a temperature sensor, a humidity sensor, and a motion sensor.

In an embodiment, the microprocessor detects the dangerous event while performing the data logging operation, and when detecting the dangerous event, generates a warning alarm corresponding to the detected dangerous event, and displays the generated warning alarm on the electronic paper display can be printed on

In an embodiment, the microprocessor acquires the sensing value for each application sensor when the data logging cycle arrives, compares the sensed value obtained for each application sensor with the critical event threshold corresponding to the application sensor, and the sensed value When the critical event threshold is exceeded, it may be determined that the dangerous event has occurred.

In an embodiment, the warning alarm may include a sensing value corresponding to the detected dangerous event and information about a time at which the dangerous event is detected.

In an embodiment, the RFID integrated energy receiving module may charge the battery with the generated power.

In an embodiment, a current of 1 microampere (μA) or less may be consumed in the data logger inactive mode, and a current of several tens of μA may be consumed in the data logger active mode.

In an embodiment, when a read command is received from the reader while performing the data logging operation, the microprocessor may read the logging data stored in the memory and transmit it to the reader.

A cloud-based data logging system according to another embodiment of the present invention generates logging data based on the sensing values collected from the cloud server and the provided application sensors, and stores the smart data logger and order item label information in the provided memory. registers in the cloud server, and transmits a wake-up command to a courier reception center that attaches the smart data logger to the order item and a smart data logger attached to the order item to provide setting information for data logging and provide the smart data logger A first reader activating the data logging operation of the data logger and a second reader that transmits a read command to the smart data logger to obtain the logging data, and transmits the obtained logging data to the cloud server, and the cloud server It may include a customer terminal for receiving the logging data corresponding to the order item.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. will be able

The present invention has the advantage of providing an ultra-low power data logging method using energy harvesting, and an apparatus and system for the same.

In addition, the present invention provides a function of providing logged data according to a reader's request after logging by real-time monitoring through a sensor equipped with a product distribution environment, and a function of displaying the corresponding information on a display provided when a specific event occurs. It has the advantage of providing an electronic label or smart data logger that

In addition, the present invention provides an electronic shelf label (ESL) or removable electronic label equipped with an electronic paper-based small display (EPD) capable of maximizing battery usage time by mounting an energy harvesting function (Detachable Electronic Label) or smart data logger (Smart Electronic Tag) has the advantage of providing.

In addition, the present invention has the advantage of providing a smart data logger system capable of real-time monitoring of the distribution environment of a corresponding product through a mobile app in a cloud environment.

In addition, the present invention has an advantage that can be utilized for distribution of fresh food and electronic devices sensitive to environmental changes such as temperature/humidity.

In addition, various effects directly or indirectly identified through this document may be provided.

1 is a view for explaining a power supply method in a data logging system according to an embodiment of the present invention.
2 is a view for explaining a data logging system provided in a vehicle according to an embodiment of the present invention.
3 is a block diagram illustrating the structure of a smart data logger according to an embodiment of the present invention.
4 is a diagram for explaining a cloud-based data logging system according to an embodiment of the present invention.
5 is a flowchart illustrating an ultra-low power data logging method using energy harvesting according to an embodiment of the present invention.
6 is a flowchart illustrating an ultra-low power data logging method using energy harvesting according to another embodiment of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function interferes with the understanding of the embodiment of the present invention, the detailed description thereof will be omitted.

In describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. In addition, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 6 .

1 is a view for explaining a power supply method in a data logging system according to an embodiment of the present invention.

Referring to FIG. 1 , the data logging system 100 includes an electronic shelf label 10 , a first reader 20 , a second reader 30 and an RF generator 40 . can be configured.

The first reader 20 may be disposed at a departure location of the delivery target article, and the second reader 30 may be disposed at a destination location where delivery is completed.

The electronic shelf label 10 may be provided with an energy harvesting module, a microprocessor, a memory, various application sensors, and an electronic paper display (EPD).

The electronic shelf label 10 may display various product information. For example, product information may include barcode, QR code, price information, distribution period information, manufacturing year information, production location information, producer information, manufacturer information, capacity information, weight information, price per unit weight information, delivery address information, etc. However, the present invention is not limited thereto.

The manager may control the data logger operation mode of the electronic shelf label 10 by using the readers 20 and 30 at the departure and/or destination of the product. Here, the data logger operation mode may include a data logging inactive mode in which data logging is inactive and standby with minimum power, and a data logging active mode in which data logging is performed in a memory provided by acquiring a sensed value from a sensor at a predetermined period.

Also, the readers 20 and 30 may transmit a predetermined control signal to the electronic shelf level 10 according to an input of the manager to acquire logging data stored in the memory.

The electronic shelf label 10 may convert an RF signal received from the first reader 20 and the destination second reader 30 into electric power to be used as internal driving power.

The electronic shelf label 10 may be attached to one side of a product after information is input in a logistics or delivery center, and then transported together with the product to a delivery site through a vehicle.

The electronic shelf label 10 may operate by receiving an RF signal through the RF generator 40 mounted on one side of the vehicle during delivery, and converting the received RF signal into power.

For example, the RF generator 40 may be provided on one side of the inside of a container box mounted on a vehicle.

The electronic shelf label 10 may operate using the internal battery 11 when power supply from the outside is not possible.

The electronic shelf label 10 may collect sensing values from various application sensors in the data logging activation mode and store them in an internal memory. As an example, the sensing value may include a temperature sensing value, a humidity sensing value, and the like.

The electronic shelf label 10 may start a data logging operation according to a wake-up command from the reader 20 or 30 . In an embodiment, the wakeup command may include setting information. Here, the setting information may include a data logger operation mode indicator (data logger active/inactive indicator), a data logging period, a risk event threshold (or risk level) for each sensor, current time information, and the like.

The electronic shelf label 10 can detect dangerous events during data logging. Here, the dangerous event may be detected when a sensing value of the sensor exceeds a corresponding threshold.

The electronic shelf label 10 may display a sensing value corresponding to the corresponding dangerous event and information on the time when the corresponding dangerous event is detected through the EPD provided when the dangerous event is detected.

As described above, the electronic shelf label 10 according to the present invention can monitor, in real time, record and display environmental changes in the moving section during logistics movement or product distribution or product delivery.

Through the above-described function, the present invention can intuitively recognize dangerous environmental changes that occur during the movement of goods through the electronic shelf label 10, and can effectively prevent customer complaints about freshness that may occur later There are advantages.

In the above embodiment, it has been described that the electronic shelf label 10 is used in the distribution and delivery stages, but this is only one embodiment, and the electronic shelf label 10 according to another embodiment of the present invention is a fresh food product. It can also be used for direct monitoring of the growing environment.

In this case, the electronic shelf label 10 can sense the temperature, humidity, movement, CO2 concentration, etc. of the cultivation environment through the provided application sensor, record the sensing result in memory, and record the sensing result when a specific event occurs. It can be implemented so that it can be displayed through EPD.

In an embodiment, the electronic shelf label 10 may be equipped with an EPD having a color display function. In this case, when a specific dangerous event occurs, the color of the text output through the EPD or the background color may be displayed differently from the normal situation.

Hereinafter, for convenience of description, the electronic shelf label 10 will be described in combination with a smart data logger to be described later.

2 is a view for explaining a data logging system provided in a vehicle according to an embodiment of the present invention.

Referring to FIG. 2 , the vehicle 200 includes a container 210 , and at least one RF generator 240 may be disposed at one side inside the container 210 .

Referring to FIG. 2 , the goods 220 to which the electronic shelf label 230 is attached may be shipped and moved inside the container 210 .

One side of the vehicle 200 may be mounted on a wireless communication terminal 250 supporting 4G or higher radio, and information may be exchanged with the electronic shelf label 230 through the RF generator 240 .

The wireless communication terminal 250 may access a cloud server (not shown) to upload information obtained from the electronic shelf label 230 - that is, sensor logging data -.

In an embodiment, the wireless communication terminal 250 may remotely control the operation of the RF generator 240 by selecting either wired or wireless.

The wireless communication terminal 250 activates the driving of the RF generator 240 when the vehicle 200 is started, and when the vehicle 200 arrives at a set destination (or delivery place) of the RF generator 240 . operation can be stopped.

As another example, the RF generator 240 may be controlled ON/OFF through a predetermined switch provided in the vehicle.

As another example, when only wireless power is supplied to the electronic selection label 230, the RF generator 240 may be automatically ON/OFF controlled without a separate control procedure from the wireless communication terminal 250 according to vehicle start ON/OFF. there is.

When a specific dangerous event is detected based on the information collected from the electronic shelf label 230 during the movement of the vehicle 200, the wireless communication terminal 250 provides information on the corresponding dangerous event. The vehicle driver and/or preset It may be transmitted to the manager terminal (not shown).

3 is a block diagram illustrating the structure of a smart data logger according to an embodiment of the present invention.

Referring to FIG. 3 , the smart data logger 300 includes an RFID integrated energy collection module 310 , a microprocessor 320 , an electronic paper display (EPD, 330), an application sensor 340, a memory 350, an RTC ( The Real Time Clock 350 may be configured to include at least one of a battery 360 .

The smart data logger 300 may generate power by using the RF signal received from the reader 370 and/or the RF generator 380 and use the generated power as driving power.

In an embodiment, the smart data logger 300 may charge the battery 360 using power received from the reader 370 and/or the RF generator 380 .

The RFID integrated energy collection module 310 may largely include an RFID module 311 that performs an RFID transmission/reception function and an energy reception module 312 that performs an energy harvesting function.

The RFID module 311 may drive the microprocessor 320 according to a wake-up command received from the reader 370 .

Also, the RFID module 311 may read the log data from the memory 350 according to the control signal of the reader 370 and provide it to the reader 370 .

The RFID module 311 and the microprocessor 320 may exchange information with each other through a Serial Peripheral Interconnection (SPI) bus.

The energy receiving module 312 may convert an RF signal received from the reader 370 and/or the RF generator 380 into DC power.

Here, the converted DC power signal may be used as power required for the operation of each component of the smart data logger 300 .

In an embodiment, the DC power converted by the energy receiving module 312 may be used to charge the battery 360 .

The smart data logger 300 may always supply power to the microprocessor 320 and the e-paper display 330 through the battery 360 .

The intensity of power supplied by the battery 360 may be different according to the operation mode of the smart data logger 300 .

For example, when the smart data logger 300 is in the data logging inactive mode, the battery 360 may operate in the lowest battery usage mode. For example, in the battery lowest use mode, the battery 360 may be controlled to consume a current of 1 μA or less. In an embodiment, when operating only in the battery lowest use mode, a battery having a capacity that can operate for 4 to 5 years may be applied to the smart data logger 300 .

If the smart data logger 300 is in the data logging active mode, the battery 360 may supply power required for the sensing operation and the data logging operation. For example, in the data logging active mode, the battery 360 may be controlled to consume a current of several tens of microamperes (μA). The battery 360 according to the embodiment may have a capacity capable of operating for up to 1 to 2 years in the data logging active mode.

The wake-up command received from the reader 370 may include setting information required for data logging.

As an example, the setting information includes at least one of data logger operation mode information, data logging period information, threshold for generating a risk event for each sensor - hereinafter, called 'danger event threshold' for convenience of explanation - and current time information may include

When the data logger operation mode is the active mode, the microprocessor 320 may initialize and drive the RTC 360 with current time information.

The RTC 360 may generate a data logging event signal every data logging period.

The microprocessor 320 may collect various types of sensing information from the application sensor 340 according to the data logging event signal. Here, the application sensor may include at least one of a temperature sensor, a humidity sensor, a motion sensor, and an impact sensor, but is not limited thereto.

In an embodiment, the data logging period may be set differently for each sensor type. For example, a data logging cycle corresponding to a temperature sensor and a data logging cycle corresponding to a humidity sensor may be set to be different from each other.

The microprocessor 320 may detect whether a dangerous event has occurred by comparing the logging data for each sensor with a corresponding dangerous event threshold.

When a dangerous event is detected, the microprocessor 320 may output a warning alarm message including time information at which the corresponding dangerous event is detected and logging data corresponding to the corresponding dangerous event to the electronic paper display 330 .

As the memory 350 according to the embodiment, an EEPROM that is an electrically erasable programmable read-only memory may be used, but is not limited thereto, and a non-volatile flash memory is sufficient.

Power required to drive the application sensor 340 and the RTC 360 may be provided through the microprocessor 320 , but this is only an example, and power may be directly supplied through the battery 360 .

4 is a diagram for explaining a cloud-based data logging system according to an embodiment of the present invention.

Referring to FIG. 4 , the data logging system 400 includes a courier reception center 410 , a smart data logger 420 , a cloud 430 , a first reader 440 , a second reader 450 , and a customer terminal 460 . ) may be included.

When a delivery order product is received, the courier reception center 410 may generate order product label information and register it in the cloud 430 . Here, in the cloud 430 environment, at least one server for registering and managing order product label information may be disposed.

The courier reception center 410 may attach the smart data logger 420 to the delivery order product.

The delivery manager at the origin may transmit a wake-up command to the smart data logger 420 through the first reader 440 to change the data logger operation mode of the smart data logger 420 from the inactive mode to the active mode.

The smart data logger 420 switched to the active mode may perform a data logging operation according to setting information included in the wakeup command.

If a dangerous event occurs during delivery, information corresponding to the dangerous event may be displayed on the EPD of the smart data logger 420 .

Accordingly, the customer can intuitively check whether there is an abnormality during delivery when receiving the order through the warning alarm displayed on the EPD.

Since the customer can immediately request the delivery driver to process the return after confirming the warning alarm displayed on the smart data logger 420, there is an advantage in that it is possible to minimize consumer inconvenience and dissatisfaction.

The delivery manager of the destination may read the logging data recorded in the memory of the smart data logger 420 through the second reader 450 , that is, the sensing data.

Logging data read by the second reader 450 may be uploaded to the cloud 430 .

The cloud 430 may transmit logging data corresponding to the ordered item to the customer terminal 460 that has ordered the corresponding item.

The customer may check logging data for the item he/she ordered through a predetermined app mounted on the customer terminal 460 .

Transport/delivery service providers as well as e-commerce providers using the system and service according to the present invention can easily identify problems in delivery and distribution routes by analyzing logging data uploaded to the cloud 430 server, and through this, accurately and quickly There are advantages to improving problems.

5 is a flowchart illustrating an ultra-low power data logging method using energy harvesting according to an embodiment of the present invention.

Referring to FIG. 5 , the smart data logger may operate with a minimum power of 1 μA or less in a state in which the data logger is deactivated ( S501 ).

When a wake-up command is received from the reader, the smart data logger may set a timer and sensor parameters based on setting information included in the wake-up command (S502 and S503).

The smart data logger may enter the data logger active mode by activating the data logger according to the wake-up command (S504 to S505).

The smart data logger may compare the risk level (or risk event threshold) set for each sensor type with the sensing result value collected for each sensor while performing the data logging operation (S506 to S507).

The smart data logger may detect whether a dangerous event has occurred based on the comparison result in step 507 (S508). For example, the smart data logger may determine that a temperature risk event has occurred when the temperature sensing value collected from the temperature sensor exceeds a temperature threshold. As another example, when the humidity sensing value collected from the humidity sensor exceeds a humidity threshold, the smart data logger may determine that a humidity risk event has occurred.

The smart data logger may output a warning alarm corresponding to the detected dangerous event to the EPD (S509). As an example, the warning alarm may include information for identifying the type of the detected dangerous event, a sensing value, and information on the date and time when the dangerous event was detected.

If no dangerous event is detected in step 508, or after performing step 509, the smart data logger may proceed to step 506 and continuously perform data logging operation.

6 is a flowchart illustrating an ultra-low power data logging method using energy harvesting according to another embodiment of the present invention.

Referring to FIG. 6 , the smart data logger may monitor and receive a control command signal with a reader while performing a data logging operation in the data logger active mode ( S601 and S602 ).

If the received control command is a read command for reading logging data stored in the memory, the smart data logger may read the corresponding logging data stored in the memory and transmit it to the reader (S603 and S604).

For example, sensor information that is logging data stored in the smart data logger EEPROM may be read using data mapped to an address of a user memory area of the RFID. Information about a predefined control signal may be maintained in the user memory area of the RFID.

If the received control signal is a setting change command for changing the setting information of the data logger, the smart data logger may update the existing setting information by using the new setting information included in the setting change command (S605 and S606) ). The changeable setting information may include activation/deactivation indicator information for activating or deactivating the data logger, sensing period information for each sensor, risk event threshold information for each sensor, and the like.

Steps of a method or algorithm described in connection with the embodiments disclosed herein may be directly implemented in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in a storage medium (ie, memory and/or storage) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM.

An exemplary storage medium is coupled to the processor, the processor can read information from, and write information to, the storage medium. Alternatively, the storage medium may be integral with the processor. The processor and storage medium may reside within an application specific integrated circuit (ASIC). The ASIC may reside within the user terminal. Alternatively, the processor and storage medium may reside as separate components within the user terminal.

The above description is merely illustrative of the technical spirit of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

Claims (19)

cloud server;
a smart data logger that generates logging data based on the sensed values collected from the provided application sensor and stores it in the provided memory;
a courier reception center that registers order item label information in the cloud server and attaches the smart data logger to the order item;
a first reader that transmits a wake-up command to the smart data logger attached to the order item, provides setting information for data logging, and activates a data logging operation of the smart data logger;
a second reader that acquires the logging data by sending a read command to the smart data logger, and transmits the acquired logging data to the cloud server; and
Customer terminal receiving the logging data corresponding to the order item from the cloud server
A cloud-based data logging system that includes
delete delete delete delete delete delete delete delete According to claim 1,
The smart data logger includes: an RFID integrated energy collection module that receives a wake-up command from a reader in a data logger inactive mode and converts an RF signal received from at least one of the reader and the RF generator into power;
Set parameters for the data logger based on the setting information included in the wake-up command, activate the data logger to change the operation mode of the data logger to the data logger active mode, and log data in the data logger active mode a microprocessor that generates;
a memory in which the logging data is recorded;
e-paper display; and
A battery for supplying power required to drive the microprocessor and the electronic paper display
Cloud-based data logging system comprising a.
11. The method of claim 10,
The smart data logger further comprises at least one application sensor and a timer,
The setting information is
active/inactive indicator information for activating or deactivating the data logger;
data logging period information for setting a sensing period for each application sensor;
risk event threshold information for detecting a risk event for each application sensor; and
current time information to be set in the timer;
Cloud-based data logging system comprising at least one of.
12. The method of claim 11,
The application sensor is a cloud-based data logging system, characterized in that it includes at least one of a temperature sensor, a humidity sensor, and a motion sensor.
12. The method of claim 11,
The microprocessor is
The smart data logger detects the dangerous event while performing the data logging operation, and when detecting the dangerous event, generates a warning alarm corresponding to the detected dangerous event, and outputs the generated warning alarm to the electronic paper display Cloud-based data logging system, characterized in that.
14. The method of claim 13,
The microprocessor is
acquiring the sensing value for each application sensor when the data logging cycle arrives;
Cloud-based, characterized in that the sensed value obtained for each application sensor is compared with the critical event threshold corresponding to the corresponding application sensor, and when the sensed value exceeds the critical event threshold, it is determined that the dangerous event has occurred data logging system.
15. The method of claim 14,
The warning alarm is a cloud-based data logging system, characterized in that it includes a sensing value corresponding to the detected dangerous event and the time information at which the dangerous event is detected.
11. The method of claim 10,
Cloud-based data logging system, characterized in that the battery is charged with the power converted by the RFID integrated energy receiving module.
11. The method of claim 10,
A cloud-based data logging system, characterized in that a current of 1 microampere (μA) or less is consumed in the data logger inactive mode, and a current of several tens of μA is consumed in the data logger active mode.
11. The method of claim 10,
The microprocessor reads the logging data stored in the memory and transmits it to the reader when a read command is received from the reader while the smart data logger performs a data logging operation. delete

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