KR102103673B1 - Multi sensing method - Google Patents

Abstract

The present invention relates to a multi-sensor technology, and more particularly, to a multi-sensor recognition method using a recognition circuit. According to an embodiment of the present invention, it is possible to secure the flexibility of measurement elements related to various indoor environments, energy and safety, and at the same time, perform smart optimal control of the improvement device.

Description

Multi-sensor recognition method {MULTI SENSING METHOD}

The present invention relates to a multi-sensor technology, and more particularly, to a multi-sensor recognition method using a recognition circuit.

In a situation where the severity of air pollution is increasing worldwide and actual cases of damage are increasing, the demand for customized services for environment, energy and safety is increasing due to various characteristics of indoor spaces and users.

On the other hand, environmental monitoring products basically do not secure the flexibility of the product's measurable material by fixing only a part of environmental information such as temperature, humidity and air pollution fine dust, CO2, and VOCs in advance. Therefore, it is necessary to improve the measurement function and product to cope with the various pollutants to be managed by the indoor air quality management method of the indoor multi-use facility, and considering that the air measurement products do not have a significant difference in function, products in various fields Differentiation is necessary in terms of availability.

In addition, smart power devices that monitor and control power consumption using the Internet of Things have recently been released. The smart power device includes a power sensor that monitors power consumption, and a service to simultaneously monitor the environment, energy, and safety combined with other multiple sensors is being considered.

Background art of the present invention is published in Korea Patent Registration Publication No. 1128090.

The present invention provides a multi-sensor recognition method using a recognition circuit capable of securing flexibility of measurement elements related to various indoor environments, energy and safety.

According to an aspect of the present invention, a multi-sensor recognition method is provided.

The multi-sensor recognition method according to an embodiment of the present invention includes scanning an input pin of a PWM signal, determining whether there is a PWM signal, and calculating a duty ratio using PWM signal information when there is a PWM signal, Determining whether the PWM signal input pin scanning is completed, when the PWM signal input pin scanning is completed, identifying the sensor module unit corresponding to the calculated duty ratio and generating a sensor identification value, and the generated sensor identification value and sensor measurement value It may include the step of generating the sensor data using.

According to an embodiment of the present invention, it is possible to secure the flexibility of measurement elements related to various indoor environments, energy and safety, and at the same time, perform smart optimal control of related devices.

1 is a view for explaining a multi-sensor operating system using a recognition circuit according to an embodiment of the present invention.
2 is a view for explaining a multi-sensor using a recognition circuit according to an embodiment of the present invention.
3 and 4 are diagrams for explaining the sensor module according to an embodiment of the present invention.
5 is a view for explaining the oscillation circuit unit according to an embodiment of the present invention.
6 is a view for explaining a sensor identification unit according to an embodiment of the present invention.
7 to 9 are diagrams for explaining a multi-sensor recognition method using a recognition circuit according to an embodiment of the present invention.

The present invention can be variously changed and can have various embodiments, and specific embodiments will be illustrated in the drawings and described in detail through detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the present invention, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

1 is a view for explaining a multi-sensor operating system using a recognition circuit according to an embodiment of the present invention.

Referring to FIG. 1, a multi-sensor operating system using a recognition circuit according to the present invention includes a multi-sensor 100, a sensor operating device 200, and a mobile device 300.

The multi-sensor 100 measures at least two of environment, energy, and safety management objects in a certain space and generates sensor data. Here, the environment, energy and safety-related measurement target is at least one of temperature, humidity, fine dust, carbon dioxide (CO ₂ ), carbon monoxide (CO), volatile organic compounds (VOCs), ozone, formaldehyde, noise, power, and movement Can be The multiple sensors 100 include a plurality of sensor modules to generate a plurality of sensor data, and a sensor data generation module for recognizing each sensor module. The multiple sensors 100 may include a communication module for transmitting the generated sensor data to the sensor operating device 200 and the mobile device 300. Here, the communication module may be, for example, a wireless communication module such as Bluetooth or Wi-Fi, and the mobile device may be an input / output device that controls monitoring and related devices using sensor data such as a smartphone, tablet, and wearable device. The multi-sensor 100 may include a general-purpose firmware as an embedded system capable of providing a recognizable and measurable environment targeting various sensors for a predefined management target material. The multi-sensor 100 may include a sensor board that secures flexibility of a measurable sensor component by designing a general-purpose protocol for connecting various sensors and providing a standardized communication and power supply method through this.

The sensor operating device 200 receives and stores sensor data for a plurality of measurement objects generated from the multiple sensors 100. The sensor operating device 200 expands the data collection, processing, and storage functions to provide predefined measurement information to the user, and measures it based on real-time collection information transmitted from multiple sensors 100 having various sensor combinations. The substance is judged and analyzed. The sensor operating device 200 may output an analysis result or report it to the mobile device 300. The sensor operating apparatus 200 may process a measurement device environment equipped with various sensors as one platform, and may include general-purpose middleware that supports an environment capable of driving various applications on a single platform using the sensor.

 The mobile device 300 outputs sensor data for a plurality of measurement objects generated from the multiple sensors 100. The mobile device 300 may generate a control signal to turn on or off the multi-sensor 100 based on the outputted sensor data. In addition, the mobile device 300 may drive a control algorithm that controls the related improvement device based on the sensor data.

2 is a view for explaining a multi-sensor using a recognition circuit according to an embodiment of the present invention.

Referring to FIG. 2, the multi-sensor 100 according to the present invention includes a sensor module unit 110, a sensor base unit 120, and a sensor data generation unit 130.

The sensor module unit 110 outputs a sensor measurement signal for measuring one of environmental, energy, and safety-related measurement objects and a sensor identification signal for identifying the measurement object. The sensor module unit 110 will be described in more detail in FIGS. 3 to 5 below.

The sensor base unit 120 detaches the sensor module unit 110. The sensor base unit 120 may include a slot for attaching and detaching the sensor module unit 110.

When the sensor module 110 is attached to the sensor base unit 120, the sensor data generation unit 130 receives the PWM signal received from the sensor module unit 110 and calculates the duty ratio of the received PWM signal The attached sensor module 110 identifies the measurement object.

In addition, the sensor data generation unit 130 receives sensor measurement signals from the sensor module unit 110 to generate sensor data for the identified measurement target. The sensor data generation unit 130 may transmit the generated sensor data to at least one of the sensor operating device 200 and the mobile device 300 through wireless communication. The sensor data generation unit 130 will be described in more detail in FIG. 5 below.

3 and 4 are views for explaining a sensor module according to an embodiment of the present invention.

3 and 4, the sensor module unit 110 includes a sensor unit 112 and an oscillation circuit unit 114.

The sensor unit 112 measures one of environmental, energy, and safety-related measurement objects to generate a sensor measurement signal.

The oscillation circuit unit 114 continuously generates a pulse width modulation (PWM) signal, which is a sensor identification signal that identifies one of measurement targets related to environment, energy, and safety.

The sensor module unit 110 may be configured as a 4-pin or 5-pin input / output terminal. The sensor module unit 110 may include input / output pins for a power Vcc, a ground GND, a sensor identification signal, and a sensor measurement signal when configured as a 4-pin input / output terminal. In addition, the sensor module unit 110 is composed of a 5-pin input / output terminal, and may include input / output pins for power Vcc, ground GND, sensor identification signal, first sensor measurement signal, and second sensor measurement signal.

5 is a view for explaining an oscillation circuit unit according to an embodiment of the present invention.

Referring to FIG. 5, the oscillation circuit unit 114 may be composed of an integrated circuit (IC) including eight input / output pins, and may have an input voltage in a range of 4 to 15V, for example, 5V. The oscillation circuit 1140 may connect pin 8 to the power supply, pin 1 to GND, and reset pin 4 to the power supply, and output a PWM signal to pin 3. The oscillation circuit 114 may be configured by, for example, modifying the ne555 circuit.

The oscillation circuit 114 continuously generates a pulse width modulation (PWM) signal of the same period. The oscillation circuit 114 is configured to have different periods of the high signal and the low signal of the PWM signal according to the relative ratios of the first resistance value R1 and the second resistance value R2, thereby configuring the duty ratio of Equation 1 below. can do.

[Equation 1]

Duty Ratio = (R1 + R2) / (R1 + 2R2)

Here, R1 is the first resistance value (R1) between pins 7 and 8 of the oscillation circuit section, and R2 is the second resistance value (R2) between pins 6 and 7 of the oscillation circuit section.

6 is a view for explaining a sensor identification unit according to an embodiment of the present invention.

Referring to FIG. 6, the sensor data generation unit 130 includes a sensor identification unit 132, a sensor data configuration unit 134, a power supply unit 136, and a communication unit 138.

The sensor identification unit 132 generates a sensor identification value using the sensor identification signal received from the sensor module unit 110 attached to the sensor base unit 120. The sensor identification unit 132 receives the PWM signal received from the sensor module unit 110 attached to the sensor base unit 120 and calculates the duty ratio of the received PWM signal. The sensor identification unit 132 may calculate a duty ratio of the PWM signal received from Equation (2) below using a timer.

[Equation 2]

Duty Ratio = (T1) / (T1 + T2)

Here, T1 is the width of the high section of the PWM signal, and T2 is the width of the low section of the PWM signal.

The sensor identification unit 132 compares the calculated duty ratio of the PWM signal with the duty ratio range of each sensor stored in advance and identifies the sensor to generate a sensor identification value.

The sensor data configuration unit 134 configures sensor data using the sensor measurement signal received from the sensor module unit 110 attached to the sensor base unit 120 and the generated sensor identification value. The sensor data configuration unit 134 includes, for example, temperature, humidity, fine dust, carbon dioxide (CO ₂ ), carbon monoxide (CO), volatile organic compounds (VOCs), ozone, formaldehyde, noise, power, and in-motion sensors If the identification value is for fine dust, and the sensor measurement value corresponds to 0.02 ppm, sensor data corresponding to 0.02 ppm of fine dust can be generated.

The power supply unit 134 supplies power required to the sensor module unit 110 and the sensor data generation unit 130 attached to the sensor base unit 120.

The communication unit 136 may transmit the generated sensor data to at least one of the sensor operating device 200 and the mobile device 300 through wireless communication.

7 to 9 are diagrams for explaining a multi-sensor recognition method using a recognition circuit according to an embodiment of the present invention.

Referring to FIG. 7, in a multi-sensor recognition method using a recognition circuit according to an embodiment of the present invention, a multi-sensor device receives a PWM signal in step S710.

In step S720, the multi-sensor device calculates the duty ratio of the received PWM signal.

In step S730, the multi-sensor device compares the calculated duty ratio and the previously stored duty ratio range and identifies the sensor to generate a sensor identification value.

Referring to FIG. 8, in a multi-sensor recognition method using a recognition circuit according to another embodiment of the present invention, in step S810, the multi-sensor device scans the input pin of the PWM signal.

In step S820, the multi-sensor device determines whether there is a PWM signal.

In step S830, the multi-sensor device stores the PWM signal information when there is a PWM signal.

In step S840, the multi-sensor device calculates and stores the duty ratio using the PWM signal information. The multi-sensor device may calculate the duty ratio of the PWM signal using Equation 2 described above.

9, the duty ratio of the sensor module unit can be adjusted by adjusting resistance values of a circuit generating a PWM signal, for example, 48 to 53 for a temperature sensor, 56 to 62 for a fine dust sensor, and carbon dioxide It can be 63 ~ 69 for carbon monoxide, 73 ~ 77 for carbon monoxide, 78 ~ 82 for volatile organic compounds, and 83 ~ 86 for electric power consumption.

In step S850, the multi-sensor device determines whether the PWM signal input pin scanning is completed.

In step S860, when the PWM signal input pin scanning is completed, the multi-sensor device identifies the sensor module unit corresponding to the calculated duty ratio and generates a sensor identification value.

In step S870, the multi-sensor device reads and stores sensor measurement values input from the identified sensor module unit.

In step S880, the multi-sensor device determines whether all sensor measurement values of the mounted sensor module unit have been read.

In step S890, the multi-sensor device generates sensor data using the generated sensor identification value and sensor measurement value.

The above-described embodiments of the present invention can be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof. For implementation by hardware, the method according to embodiments of the present invention includes one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), It can be implemented by field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, and the like. In the case of implementation by firmware or software, the method according to embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. A computer program in which software code or the like is recorded may be stored in a computer-readable recording medium or memory unit and driven by a processor. The memory unit is located inside or outside the processor, and can exchange data with the processor by various known means. Also, combinations of each block of the block diagram and each step of the flowchart attached to the present invention may be performed by computer program instructions. These computer program instructions may be mounted on an encoding processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, so that the instructions performed through the encoding processor of a computer or other programmable data processing equipment may include each block in the block diagram or In each step of the flowchart, means are created to perform the functions described. These computer program instructions can also be stored in computer readable or computer readable memory that can be oriented to a computer or other programmable data processing equipment to implement a function in a particular way, so that computer readable or computer readable memory The instructions stored in it are also possible to produce an article of manufacture containing instructions means for performing the functions described in each block or flowchart step of the block diagram. Since computer program instructions may be mounted on a computer or other programmable data processing equipment, a series of operational steps are performed on the computer or other programmable data processing equipment to create a process that is executed by the computer to generate a computer or other programmable data. It is also possible for instructions to perform processing equipment to provide steps for executing the functions described in each block of the block diagram and in each step of the flowchart. In addition, each block or step may represent a module, segment, or part of code that includes one or more executable instructions for executing a specified logical function. It should also be noted that in some alternative embodiments it is also possible that the functions mentioned in blocks or steps occur out of order. For example, two blocks or steps shown in succession may in fact be executed substantially simultaneously, or it is also possible that the blocks or steps are sometimes performed in reverse order depending on the corresponding function.

As such, those skilled in the art to which the present invention pertains will appreciate that the present invention may be implemented in other specific forms without changing its technical spirit or essential features. Therefore, the embodiments described above are illustrative in all respects and should be understood as non-limiting. The scope of the present invention is indicated by the following claims rather than the detailed description, and all modifications or variations derived from the meaning and scope of the claims and their equivalent concepts should be interpreted to be included in the scope of the present invention. .

Claims (3)

In the multi-sensor recognition method performed in a multi-sensor device,
Scanning the input pin of the PWM signal;
Determining whether there is a PWM signal;
If there is a PWM signal, calculating a duty ratio using the PWM signal information;
Determining whether the PWM signal input pin scanning is completed;
When the PWM signal input pin scanning is completed, identifying a sensor module unit corresponding to the calculated duty ratio and generating a sensor identification value;
And generating sensor data using the generated sensor identification value and the sensor measurement value.
According to claim 1,
If the PWM signal is present, calculating the duty ratio using the PWM signal information is
A multi-sensor recognition method for calculating the duty ratio of a PWM signal using Equation 2 below.
[Equation 2]
Duty Ratio = (T1) / (T1 + T2)
Here, T1 is the time width of the high section of the PWM signal, and T2 is the time width of the low section of the PWM signal.
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