JP7347271B2 - Sensor unit and sensor unit calibration method - Google Patents

Description

The invention disclosed herein relates to a sensor unit including various sensors for temperature/humidity, atmospheric pressure, illuminance, etc., and a method for calibrating the sensor unit.

As an example, a technique for calibrating a humidity sensor unit is disclosed in Patent Document 1, and a technique for calibrating a temperature sensor unit is disclosed in Patent Document 2, respectively. These sensor calibration technologies are technologies that set up a calibration environment for each sensor unit at the time of shipment or periodic inspection, acquire measurement data, and calibrate each individual sensor unit based on errors in the measurement data. .

JP2005-062199 JP2006-105870

For example, when building a system that uses many sensor units of the same type in one factory, it is inevitable that some individual differences will occur among the many installed sensor units. In other words, each sensor unit is calibrated using the above-mentioned conventional technology, etc., but such individual calibration technology cannot absorb relative individual differences, and if the sensor unit is inexpensive, A situation where accuracy is low and there is variation among individuals will also be considered.
In view of this background, the present invention proposes a sensor unit and its calibration method that corrects individual differences between sensor units by communicating with each other.

In order to solve the above problems, for example, the configurations described in the claims are adopted.
The present application includes a plurality of means for solving the above problems, and one example is a first sensor unit that includes a sensor, a processing module that processes measurement data of the sensor, and a communication module. The communication module is configured to be capable of transmitting measurement data of the first sensor unit to a second sensor unit and receiving measurement data of the second sensor unit from the second sensor unit. and the processing module calculates reference data based on the received measurement data of the second sensor unit and the measurement data of the first sensor unit, and calculates the reference data and the measurement data of the first sensor unit. The correction data calculated based on the data is stored.

According to the sensor unit and its calibration method according to the present invention, individual differences between the sensor units can be corrected by the sensor units communicating with each other.

FIG. 2 is a diagram illustrating a temperature/humidity sensor unit as an example of a sensor unit. It is an example of a functional block diagram of a communicable sensor unit. FIG. 4 is an example of a diagram illustrating a transmission process of transmitting measurement data from one sensor unit to another sensor unit in the calibration method according to the first aspect of the present invention. 4 is an example of an explanatory diagram of a transmission process performed by switching the sensor unit that transmits measurement data from the sensor unit in FIG. 3 to another sensor unit. 5 is an example of an explanatory diagram of a transmission process performed by switching the sensor unit that transmits measurement data from the sensor unit in FIG. 4 to another sensor unit. FIG. It is an example of an explanatory diagram of a process in which each sensor unit communicates with a cloud server and uploads its own corrected measurement data. This is an example of the format of signals communicated between sensor units. 1 is an example of a sequence illustrating a calibration method according to a first aspect of the present invention. FIG. 7 is an example of a diagram illustrating a communication process between a master sensor unit and a slave sensor unit regarding the calibration method according to the second aspect of the present invention. It is an example of a sequence explaining the calibration method concerning the second aspect of the present invention. FIG. 4 is an example of a diagram illustrating a communication process between a sensor unit and a server in relation to a calibration method in which a correction value is calculated by a server. 12 is an example of a sequence for explaining the calibration method of FIG. 11.

FIG. 1 is a diagram illustrating a temperature/humidity sensor unit as an example of a sensor unit.
In this embodiment, a temperature/humidity sensor unit including a temperature sensor and a humidity sensor will be explained as an example, but there are also other sensors such as an air pressure (altitude measurement) sensor, an illumination sensor, an ultraviolet sensor, a noise sensor, a gas sensor, etc. It can be applied to sensor units equipped with various sensors.

Although the sensor units 1 to 3 are individually calibrated using a predetermined calibration technique at the time of shipment, slight individual differences may occur depending on the characteristics of the electronic components and circuits therein. That is, although the sensor units 1 to 3 are placed in the same measurement environment, for example, in a room with controlled temperature and humidity, there are individual differences in the measured values. %, sensor unit 2 shows a temperature of 26.5° C./humidity 55%, and sensor unit 3 shows a temperature of 25.0° C./humidity 43%.

FIG. 2 is an example of a functional block diagram of a communicable sensor unit.
These sensor units 1 to 3 have a structure in which a circuit board on which electronic components are assembled is housed in a cylindrical housing, for example, and a functional block diagram thereof is shown in FIG. 2. The processing module PM, which includes a microprocessor or the like, includes a memory MD such as a flash memory, processes measurement data from the temperature sensor TS and the humidity sensor MS, and stores the data in the memory MD. The measurement data read from the memory MD is sent from the processing module PM to the wireless communication module CM, and after processing such as carrier wave modulation, is transmitted from the antenna.

Furthermore, the wireless communication module CM receives measurement data transmitted from other sensor units 1 to 3, demodulates it, and sends it to the processing module PM. This received measurement data is stored in the memory MD by the processing module PM.
Measured data includes temperature, humidity, atmospheric pressure (altitude), illuminance, ultraviolet rays, noise, This is measurement data regarding gas concentration.

The wireless communication module CM performs sub-GHz band wireless communication and builds a communication network, such as LPWA (Low Power Wide Area), between the sensor units 1, 2, and 3. Although a wireless communication module is taken as an example, a wired communication module using a LAN cable or the like may also be used. Further, the wireless communication network is not limited to LPWA, but may be a mobile phone network such as LTE (registered trademark), or a wireless communication network such as Wi-Fi (registered trademark).

The sensor units 1 to 3 are equipped with a power source PW of a primary battery or a secondary battery that supplies power to the sensor and each module, and the power supply is turned on/off by a power switch PS. Further, an operation button OB is provided for switching operation modes of the processing module PM (transmission mode, reception mode, calculation mode, upload mode, etc. to be described later) depending on how the button is pressed. The mode in which the processing module PM is being executed is visually notified by an operation notifier LD such as an LED.

A first embodiment of a calibration method for correcting individual differences by calculating respective correction values in sensor units 1 to 3 placed in the same measurement environment will be described with reference to FIGS. 3 to 6.
FIG. 3 is an example of a diagram illustrating a transmission process of transmitting measurement data from one sensor unit to another sensor unit in relation to the calibration method according to the first aspect of the present invention.
First, as shown in FIG. 3, in this example, first, sensor unit 3 as one of sensor units 1 to 3 starts transmitting measurement data by temperature sensor TS and humidity sensor MS.

For example, by pressing the operation button OB briefly (for example, by detecting that the operation button OB has been pressed for a predetermined period of 0.5 seconds or less), the sensor unit 3 enters a transmission mode for transmitting measurement data. On the other hand, the other sensor units 1 and 2 are connected to the sensor unit 3 by pressing and holding the operation button OB for a long time (for example, by detecting that the operation button OB has been pressed for longer than a predetermined 0.5 seconds). Shift to reception mode to receive transmitted measurement data. Thereby, the measurement data of the sensor unit 3 is stored in the memories MD of the sensor units 1 and 2.

FIG. 4 is an example of an explanatory diagram of a transmission process performed by switching the sensor unit that transmits measurement data from the sensor unit in FIG. 3 to another sensor unit.
As shown in FIG. 4, by briefly pressing the operation button OB of the sensor unit 2, the sensor unit 2 is placed in a measurement data transmission mode, and the unit that transmits the measurement data is switched. On the other hand, the other sensor units 1 and 3 are put into reception mode by long pressing the operation button OB, and the sensor units 1 and 3 receive the measurement data of the sensor unit 2 and store it in the memory MD.

FIG. 5 is an example of an explanatory diagram of a transmission process performed by switching the sensor unit that transmits measurement data from the sensor unit in FIG. 4 to another sensor unit.
As shown in FIG. 5, by briefly pressing the operation button OB of the sensor unit 1, the sensor unit 1 is placed in a measurement data transmission mode, and the unit that transmits the measurement data is switched. On the other hand, the other sensor units 2 and 3 are put into reception mode by long pressing the operation button OB, and the sensor units 2 and 3 receive the measurement data of the sensor unit 1 and store it in the memory MD.

Since the memory MD of each sensor unit 1 to 3 also stores its own measurement data, by the process shown in FIGS. 3 to 5, all sensor units 1 -3 measurement data are stored. Next, by pressing the operation button OB of the sensor units 1 to 3 twice (for example, detecting that the operation button OB has been pressed twice in a row within a predetermined 1 second), the sensor units 1 to 3 are activated. enters the correction value calculation mode, and the processing module PM calculates its own correction value. That is, the processing module PM reads out all measurement data stored in the memory MD, calculates average data as reference data from these, and calculates a correction value from this average data and its own measurement data. The calculated correction value is stored in the memory MD.

Note that instead of calculating the average from a plurality of measurement data, a method of calculating other reference data may be used. For example, the smallest value of the plurality of measurement data may be used as the reference data, and the correction value may be the difference from this smallest value of the reference data.
Conversely, the one with the largest value may be used as the reference data.
Alternatively, an average value may be determined from a plurality of pieces of measurement data, and measurement data with a value closest to this average value may be used as the reference data. In this case, a correction value is not required for the sensor unit that has transmitted measurement data with a value closest to the average value.

The correction value is, for example, a difference ratio. For example, in the case of sensor unit 1, the measurement data of its own temperature sensor TS is 26.0° C., and the measurement data of humidity sensor MS is 45% (FIG. 1). If the measurement data of the other sensor units 2 and 3 is as shown in Figure 1, and the average data is obtained by rounding off according to the purpose, the average data will be 25.8°C in temperature and 48% in humidity. Calculated.

Therefore, if the correction value is also obtained by rounding off according to the application, +0.7% and humidity For sensor MS, -6.7% is calculated from the calculation of -3 (=45-48)/45. This correction value is stored in the memory MD, and in subsequent actual measurements, the correction value is applied to the actual measurement values of the temperature sensor TS and the humidity sensor MS for correction. A similar correction value calculation mode is also executed in sensor units 2 and 3 (FIG. 6).

FIG. 6 is an example of an explanatory diagram of a process in which each sensor unit communicates with a cloud server and uploads its own corrected measurement data.
After calculating the correction value, if you press the operation button OB of sensor units 1 to 3 three times (for example, detecting that the operation button OB has been pressed three times in a row within a predetermined 1 second), sensor units 1 to 3 will be activated. enters the upload mode and uploads the corrected measurement data of 25.8° C./48% to the cloud server 10, which is the upper-level application.

Furthermore, at this time, each correction value of each sensor unit may also be uploaded together with the corrected measurement data. The uploaded data is stored in the cloud server 10 in association with the sensor units 1 to 3. The data stored in the cloud server 10 can be used by the manufacturer for management and the like.

FIG. 7 illustrates the format of signals communicated between sensor units 1 to 3. The preamble indicates the start of the signal, and the start code indicates the beginning of the application data that follows. The actual measurement data is stored in the application data, and the next CRC is a cyclic redundancy check code. The application data part includes a header and payload, which are shown enlarged. A data ID is put in the header, and it is determined by this data ID that the data is measured data in the above-mentioned transmission mode/reception mode.

That is, in this embodiment, it is possible to switch between the transmission mode and the reception mode by changing the way the operation button OB is pressed. The indicated ID is stored in the header.
Furthermore, it is also possible to store information identifying master/slave in the header in the second embodiment. The sensor unit that has received the signal may determine, based on the information stored in the header, that the information has been received from the master sensor unit, and function as a slave.

Payload length indicates the data length of the next payload. The payload portion includes a sequence number, source address, destination address, command type, and actual data. The sequence number is a code representing the order of data, and a reception completion notification (ACK), which will be described later, is created based on this. After the sequence number, a source address and a destination address are entered, followed by a command type and data corresponding to the command. The data includes measured values such as temperature and humidity measured by various sensors.

FIG. 8 is an example of a sequence illustrating the calibration method according to the first aspect of the present invention.
The sequence of the calibration method shown in FIGS. 3 to 6 is shown in the figure.
Among the sensor units 1 to 3 placed in the same measurement environment, sensor unit 3 is set as the transmitter (FIG. 3), and the transmitter mode is started by briefly pressing the operation button OB. At the same time, the other sensor units 1 and 2 start the reception mode by pressing and holding the operation button OB. Then, the measurement data of the sensor unit 3 is broadcasted from the sensor unit 3 in the transmission mode to the sensor units 1 and 2 in the reception mode.

As an example, the sensor unit 3 in the transmission mode transmits its own measurement data a certain number of times, and the sensor units 1 and 2 in the reception mode send a reception completion notification (ACK) to the sensor unit when the measurement data is received a certain number of times. Send to 3. The sensor units 1 and 2 average the received measurement data a certain number of times, store this in the memory MD as the measurement data of the sensor unit 3, and end the reception mode. When the sensor unit 3 can receive a reception completion notification (ACK) from the sensor units 1 and 2, it ends the transmission mode.

Next, the operation button OB of the sensor unit 2 is briefly pressed to set the transmission mode, and the operation buttons OB of the other sensor units 1 and 3 are pressed and held to set the reception mode (FIG. 4), and the same process as described above is repeated. Next, press the operation button OB of sensor unit 1 briefly to set it to transmission mode, and press and hold the operation buttons OB of other sensor units 2 and 3 to set it to reception mode (Figure 5), and repeat the same process as above. .

By the above sequential transmission, the measurement data of all the sensor units 1-3 are stored in all the sensor units 1-3. Then, the operation buttons OB of sensor units 1 to 3 are pressed twice to enter the correction value calculation mode. The processing modules PM of the sensor units 1 to 3 in the correction value calculation mode start correction value calculation for calculating their own correction values from the stored measurement data. That is, as described above, the processing module PM calculates average data from all measurement data, and calculates a correction value from this average data and its own measurement data. The processing module PM of each sensor unit 1 to 3 stores the calculated correction value in the memory MD (FIG. 6).

Note that the mode may be automatically shifted to the correction value calculation mode after a certain period of time has elapsed, instead of pressing the button twice. Alternatively, the number of sensor units to be calibrated may be calculated, and when reception of measurement data corresponding to this number is confirmed, the mode may be shifted to the correction value calculation mode.
The sensor units 1 to 3 that have stored the correction values enter the upload mode automatically or by pressing the operation button OB three times as described above, and upload the corrected measurement data and correction values to the cloud server 10. (Figure 6) and completes the upload. Note that the process of uploading to the cloud server 10 may not be performed.
Further, although the transmission mode and the reception mode are switched by changing the way the operation button is pressed, and the reference data is calculated, the sensor unit may be provided with a plurality of buttons depending on the function or mode.

According to the calibration method according to the first embodiment, a correction value is calculated and stored in each of sensor units 1 to 3, and by applying this correction value, individual differences among sensor units 1 to 3 are corrected. Absorbed. Furthermore, since the calibration process shown in FIG. 8 is completed between the sensor units 1 to 3 that communicate wirelessly with each other, there is no need for a server or the like to supervise the calibration process. Furthermore, even in an environment where communication with the cloud server 10 is not possible, calibration can be performed to correct individual differences among the sensor units 1 to 3.

A second example of the calibration method will be described with reference to FIGS. 9 and 10. In this example, in addition to the same sensor units 1 to 3 as in the first embodiment, sensor unit 0, which operates as a master unit, is used. Sensor unit 0 also has the same functional block configuration as sensor units 1 to 3 shown in FIG. Note that the explanation will include sensor unit 0, which is the master, but any one of sensor units 1 to 3 will be set as master and operate, and the other sensor units 1 to 3 will be set as slaves and operate. You can do it like this.

For example, master/slave may be switched by changing the way the operation button OB is pressed, or by pressing another switching button.
For example, the operation button OB of one sensor unit is pressed to set it as a master, and data indicating that calibration is to be started from the master is broadcasted to the other sensor units. When the other sensor units that have received the broadcast notification read the header of the transmitted data and confirm that it is the data sent from the master and/or that it is data to start calibration, It may be set to operate as a slave itself.

FIG. 9 is an example of a diagram illustrating a communication process between a master sensor unit and a slave sensor unit regarding the calibration method according to the second aspect of the present invention.
As shown in FIG. 9, in the second embodiment, sensor unit 0 is set as a master unit, and other sensor units 1 to 3 are set as slave units, so that these sensor units 0 to 3 are in the same measurement environment. placed in Then, the measurement data is transmitted from the slave sensor units 1 to 3 to the master sensor unit 0, and the processing module PM of the sensor unit 0 that received the measurement data calculates average data from the received measurement data and its own measurement data. calculate. Then, sensor unit 0 transmits the calculated average data to sensor units 1 to 3.

Thereafter, in each sensor unit 0 to 3, each processing module PM calculates a correction value from the average data and its own measurement data, and stores the calculated correction value in the memory MD. In this example, the measurement data of sensor units 1 to 3 are as described above, and the measurement data of sensor unit 0 has a temperature of 26.0°C and a humidity of 52%, so the average data as reference data is When the average data is rounded off according to the purpose, the temperature is 25.9% and the humidity is 49%. Based on this average data, a correction value (for example, the above-mentioned difference ratio) is calculated in each sensor unit 0 to 3.

Note that instead of calculating the average from a plurality of measurement data, a method of calculating other reference data may be used. For example, the smallest value of the plurality of measurement data may be used as the reference data, and the correction value may be the difference from this smallest value of the reference data. Conversely, the one with the largest value may be used as the reference data.
Alternatively, an average value may be determined from a plurality of pieces of measurement data, and measurement data with a value closest to this average value may be used as the reference data.
Alternatively, the measurement data of the master sensor unit may be used as reference data, and the correction value of the slave sensor unit may be the difference from this reference data.
In this case, the master measurement value may be transmitted to the slave as reference data without receiving measurement data from the slave.

FIG. 10 is an example of a sequence of the calibration method according to the second embodiment.
The master sensor unit 0 starts the reception mode by pressing and holding the operation button OB. On the other hand, the slave sensor units 1 to 3 start the transmission mode by briefly pressing the operation button OB. The sensor unit 0 in the reception mode waits for measurement data transmission from the slave unit for a predetermined period of time, for example, 30 seconds to 1 minute. Sensor units 1 to 3 in the transmission mode each transmit measurement data to sensor unit 0 a certain number of times, and sensor unit 0, which has received the measurement data transmitted a certain number of times, sends a reception completion notification (ACK) to sensor unit 1. ~3 respectively. Sensor unit 0 averages and stores each measurement data received a certain number of times for each sensor unit 1 to 3.

When the standby time has passed, the reception mode times out (ends), and the sensor unit 0 automatically enters the average data calculation mode. Alternatively, the calculation mode may be forcibly entered by pressing the operation button OB twice.
The processing module PM of the sensor unit 0 that has started the calculation calculates average data from the received and stored measurement data and its own measurement data, stores the calculated average data in its own memory MD, and also processes the sensor units 1 to 1. Send to 3. When slave sensor units 1 to 3 receive a reception completion notification (ACK) in transmission mode, they wait to receive average data.

When the calculated average data is transmitted from sensor unit 0 and received by sensor units 1 to 3, processing modules PM of sensor units 1 to 3 store the received average data in their respective memories MD. Once the average data is stored, either automatically or by detecting that the operation button OB is pressed twice, the processing module PM of each sensor unit 0 to 3 enters the correction value calculation mode and calculates each correction value. Start. The calculated correction value is stored in the memory MD of sensor units 0 to 3 and applied to subsequent measurement data. After this, the upload mode may be executed in the same manner as in the first embodiment.

As can be understood from the above explanation, the sensor unit 0 (or the sensor units 1 to 3) according to the second embodiment transmits the reference data, which is average data in this example, after transmitting the measurement data by the wireless communication module CM. Upon receiving the data, the processing module PM functions as a slave to calculate and store a correction value from the reference data and its own measurement data, and receives the measurement data via the wireless communication module CM, and the processing module PM Based on the measured data, reference data, which is average data in this example, is calculated, and the wireless communication module CM can perform a function as a master that transmits the reference data.

The calibration method according to the second embodiment also has the same advantages as the calibration method according to the first embodiment. Furthermore, in the case of the second embodiment, it is also possible to manufacture sensor unit 0 exclusively as a master unit. In this case, each correction value calculation function of slave sensor units 1 to 3 is also provided to the master unit, and the sensor It is also possible to perform control such that the correction value is calculated from the average data in the unit 0, and transmitted to and stored in each sensor unit 1 to 3. In this way, the functions of the sensor units 1 to 3 manufactured as slave units can be simplified.

A calibration method according to a third embodiment that uses a server as a host application, which is slightly different from the calibration methods according to the first and second embodiments described above, will be described with reference to FIGS. 11 and 12. The illustrated sensor units 1 to 3 and the cloud server 10 communicate through the above-mentioned LPWA (or wired/wireless LAN, etc.) or the Internet.

FIG. 11 is an example of a diagram illustrating the communication process between the sensor unit and the server regarding the calibration method according to the third aspect of the present invention.
In the calibration method according to the third embodiment, as shown in FIG. 11, sensor units 1 to 3 similar to those in the first embodiment start the transmission mode by briefly pressing the operation button OB. In this case, each of the sensor units 1 to 3 communicates with the cloud server 10 and uploads its own measurement data to the higher-level application.

The cloud server 10 that has received the measurement data calculates the average data by averaging all the measurement data as reference data, and then uses the average data and the measurement data of each of the sensor units 1 to 3 to calculate the average data of the sensor units 1 to 3. A correction value (for example, the above-mentioned difference ratio) is calculated for each time. The calculated correction values are stored together with the measurement data in the cloud server 10 in association with each of the sensor units 1 to 3, and simultaneously transmitted from the cloud server 10 to the corresponding sensor units 1 to 3, respectively. Each sensor unit 1 to 3 stores the sent correction value and applies it to subsequent measurements.

As a result of this process, sensor unit 1 corrects its own measurement data according to the correction values from temperature 26.5°C to 25.8°C and humidity from 45% to 48%, and sensor unit 2 corrects its measurement data according to the correction values. is corrected as temperature 26.5°C → 25.8°C and humidity 55% → 48%, and sensor unit 3 changes the measurement data according to the correction values from temperature 25.0°C → 25.8°C and humidity 43% → It is corrected to 48%, and calibration is performed to absorb individual differences.

FIG. 12 is an example of a sequence of the calibration method according to the third embodiment.
The cloud server 10 starts the reception mode in response to a predetermined operation using an input device or in response to one of the sensor units 1 to 3 starting the transmission mode. One of the sensor units 1 to 3 starts the transmission mode by briefly pressing the operation button OB. The cloud server 10 in the reception mode waits for measurement data transmission from the sensor units 1 to 3 for a predetermined period of time, for example, 30 seconds to 1 minute.

Each of the sensor units 1 to 3 in the transmission mode transmits measurement data to the cloud server 10 a certain number of times, and the cloud server 10, which has received the measurement data transmitted a certain number of times, sends a reception completion notification (ACK) to the sensor unit 1. ~3 respectively. The cloud server 10 averages each measurement data received a certain number of times for each sensor unit 1 to 3 and stores it in a storage device such as a memory or a hard disk drive.

When the standby time has passed, the reception mode times out (ends), and the cloud server 10 automatically enters the correction value calculation mode. The processor of the cloud server 10 that has started the calculation calculates average data from all the received and stored measurement data, and calculates a correction value from the calculated average data and the measurement data of each sensor unit 1 to 3. Then, the calculated correction values are stored in the storage device in association with the sensor units 1 to 3, and are transmitted to the corresponding sensor units 1 to 3, respectively, and the correction value calculation mode is ended.

When one of the sensor units 1 to 3 receives a reception completion notification (ACK) in the transmission mode, it waits to receive a correction value. When the calculated correction value is transmitted from the cloud server 10 and received by the sensor units 1 to 3, the processing module PM of the sensor units 1 to 3 stores it in the memory MD and ends the mode.
Note that the measurement data was received by the cloud server 10 without calibrating each sensor unit 1 to 3 using correction values, and the processor of the cloud server 10 calculated the measurement data received from each sensor unit 1 to 3. A configuration in which the correction is performed based on a correction value may also be used.

The calibration method according to the third embodiment also has the advantage of being able to absorb individual differences between units, similar to the calibration method according to the above embodiments. In the case of the third embodiment, the functions of the sensor units 1 to 3 can be simplified, but it is necessary to install a calibration program on the cloud server 10 (upper-level application).

Several embodiments of the present invention have been shown and described above. In the present invention, for example, a dedicated correction value is calculated for each sensor unit, and this correction value is applied to each sensor unit, thereby absorbing individual differences. Furthermore, in the case of the first and second aspects above, the correction value calculation process can be executed (completed) between sensor units that communicate with each other, and in this case, a calibration application etc. is installed on the host server. There is no need to do this, and there is no need for an upper level server. Further, even in an environment where communication with a main control unit such as a server is not possible, calibration for individual difference correction can be executed.

Note that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the embodiments described above are described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to having all the configurations described. Furthermore, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add, delete, or replace a part of the configuration of each embodiment with other configurations.

Further, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be partially or entirely realized in hardware by designing, for example, an integrated circuit. Furthermore, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, files, etc. that implement each function can be stored in a memory, a recording device such as a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

Further, the control lines and information lines are shown to be necessary for explanation purposes, and not all control lines and information lines are necessarily shown in the product. In reality, almost all components may be considered to be interconnected.
Note that the above-described embodiments disclose at least the configuration described in the claims.

0, 1, 2, 3...Sensor unit 10...Cloud server

Claims (6)

A method for calibrating a plurality of sensor units capable of communicating with each other and equipped with a button for switching operation modes, the method comprising:
transmitting measurement data from one of the sensor units set in transmission mode by operating the button to another sensor unit set to reception mode by operating the button , and storing the measurement data in the other sensor unit; and,
performing this step by switching between the sensor unit in the transmission mode and the sensor unit in the reception mode by operating the button , and storing the measurement data of all the sensor units in all the sensor units; and,
In each of the sensor units, calculating reference data based on the stored measurement data of all the sensor units, and storing correction data calculated based on the reference data and its own measurement data; A calibration method having The calibration method according to claim 1 , further comprising the step of calculating corrected measurement data by correcting the own measurement data based on the correction data, and transmitting the corrected measurement data. A method for calibrating multiple sensor units capable of communicating with each other and equipped with a button for switching between master and slave, the method comprising:
setting one of the sensor units as a master by operating the button , setting another sensor unit as a slave by operating the button , and transmitting measurement data from the slave sensor unit;
The master sensor unit calculates reference data based on the measurement data received from the plurality of slave sensor units and the measurement data of the master sensor unit, and transmits the reference data to the plurality of slave sensor units. the step of sending;
A calibration method comprising the steps of, in each slave sensor unit, calculating correction data based on the reference data and the measurement data of the slave sensor unit, and storing the correction data. Claim further comprising the step of calculating, in each of the slave sensor units, corrected measurement data by correcting the measurement data of each of the slave sensor units based on the correction data, and transmitting the corrected measurement data. The calibration method described in 3 . The calibration method according to any one of claims 1 to 4 , wherein the reference data is calculated based on an average value of a plurality of the measurement data. The measurement data includes temperature, humidity, atmospheric pressure (altitude), illuminance, ultraviolet rays, and noise obtained from at least one of a temperature sensor, a humidity sensor, a barometric pressure (altitude measurement) sensor, an illuminance sensor, an ultraviolet sensor, a noise sensor, and a gas sensor. The calibration method according to claim 1 , wherein the calibration method is at least one measurement data of gas concentration.

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