CN111051853B - Particle detection system and particle detection method - Google Patents
Particle detection system and particle detection method Download PDFInfo
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- CN111051853B CN111051853B CN201880055079.4A CN201880055079A CN111051853B CN 111051853 B CN111051853 B CN 111051853B CN 201880055079 A CN201880055079 A CN 201880055079A CN 111051853 B CN111051853 B CN 111051853B
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- 239000000463 material Substances 0.000 description 2
- 239000013618 particulate matter Substances 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 239000000443 aerosol Substances 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
- F24F7/007—Ventilation with forced flow
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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Abstract
A particle detection system (1) is provided with: a light-scattering particle detection sensor (10) that detects particles (P) contained in a gas; a temperature sensor (20) that detects the temperature of the gas; and a microcontroller (31), wherein the microcontroller (31) calculates the mass concentration of the particles contained in the gas by using the sensor output value output from the particle detection sensor (10) and the temperature detected by the temperature sensor (20).
Description
Technical Field
The present invention relates to a particle detection system and a particle detection method.
Background
Conventionally, a dust concentration detection sensor that detects the concentration of dust in a room is known. For example, patent document 1 discloses an air supply amount variable air purification system that controls the amount of air supply from a total heat exchanger to an air purifier based on the indoor dust concentration detected by a dust concentration detection sensor.
(Prior art document)
(patent literature)
Patent document 1: japanese patent laid-open publication No. 5-106883
However, the conventional dust concentration detection sensor has a problem in that the detection accuracy is lowered when the ambient environment changes greatly. Therefore, the conventional dust concentration detection sensor has limited use environments such as a case where the change in the ambient environment is small, and has low versatility.
Disclosure of Invention
Accordingly, an object of the present invention is to provide a particle detection system and a particle detection method that can detect the mass concentration of particles with high accuracy and have high versatility.
In order to achieve the above object, a particle detection system according to an aspect of the present invention includes: a light-scattering particle detection sensor that detects particles contained in a gas; a temperature sensor that detects a temperature of the gas; and a controller that calculates a mass concentration of particles contained in the gas using a sensor output value output from the particle detection sensor and a temperature detected by the temperature sensor.
In addition, a particle detection method according to an aspect of the present invention obtains a sensor output value output from a light scattering type particle detection sensor that detects particles contained in a gas, obtains a temperature of the gas from a temperature sensor, and calculates a mass concentration of the particles contained in the gas using the sensor output value and the temperature.
Further, an aspect of the present invention can be realized as a program for causing a computer to execute the particle detection method. Alternatively, the program may be realized as a computer-readable recording medium storing the program.
According to the present invention, it is possible to provide a particle detection system and a particle detection method that can detect the mass concentration of particles with high accuracy and have high versatility.
Drawings
Fig. 1 is a block diagram showing a configuration of a particle detection system according to an embodiment.
Fig. 2 is a schematic diagram illustrating a ventilator provided in the particle detection system according to the embodiment.
Fig. 3 is a cross-sectional view schematically showing an internal configuration of a particle detection sensor provided in the particle detection system according to the embodiment.
Fig. 4 is a graph showing a relationship between a sensor output value and a mass concentration of the particle detection sensor according to the embodiment.
Fig. 5 is a diagram showing a relationship between a temperature detected by a temperature sensor provided in the particle detection system according to the embodiment and a conversion coefficient.
Fig. 6 is a flowchart showing the operation of the particle detection system according to the embodiment.
Detailed Description
Hereinafter, a particle detection system and a particle detection method according to an embodiment of the present invention will be described in detail with reference to the drawings. The embodiments described below all show a specific example of the present invention. Therefore, the numerical values, shapes, materials, constituent elements, arrangement and connection forms of constituent elements, steps, order of steps, and the like shown in the following embodiments are merely examples, and are not intended to limit the spirit of the present invention. Therefore, among the constituent elements of the following examples, constituent elements that are not described in the embodiments showing the uppermost concept of the present invention are described as arbitrary constituent elements.
Each drawing is a schematic diagram, and is not necessarily a strictly illustrated drawing. Therefore, for example, the scale or the like in each drawing does not necessarily coincide. In the drawings, the same reference numerals are given to the same components, and redundant description is omitted or simplified.
(embodiment mode)
The particle detection system according to the present embodiment calculates the mass concentration of particles contained in a gas using a sensor output value from a light scattering type particle detection sensor and a temperature measured by a temperature sensor. The particle detection system can detect the mass concentration with high accuracy by using not only the sensor output value from the particle detection sensor but also the temperature.
[ Structure ]
First, the configuration of the particle detection system according to the present embodiment will be described with reference to fig. 1 to 3.
Fig. 1 is a block diagram showing a configuration of a particle detection system 1 according to the present embodiment. Fig. 2 is a schematic diagram illustrating the ventilator 40 provided in the particle detection system according to the present embodiment. Fig. 3 is a cross-sectional view schematically showing the internal configuration of the particle detection sensor 10 provided in the particle detection system 1 according to the present embodiment. In fig. 2, white arrows indicate the direction of the gas flow passing through the ventilator 40.
As shown in fig. 1, the particle detection system 1 includes a particle detection sensor 10, a temperature sensor 20, a system controller 30, and a ventilator 40. The respective components constituting the particle detection system 1 will be described in detail below.
[ particle detection sensor ]
The particle detection sensor 10 is a light scattering type particle detection sensor that detects particles contained in a gas. The particles are fine particles of micron order floating in the gas, that is, particulate matter (aerosol). Specifically, the particles include PM2.5, Suspended Particulate Matter (SPM), PM10, and the like.
As shown in fig. 2, the particle detection sensor 10 is provided at the inlet 42 of the ventilator 40. The particle detection sensor 10 may be provided at the outlet 43 of the ventilator 40. Alternatively, the particle detection sensor 10 may be provided at the inlet 44 or the outlet 45 of the ventilator 40. The particle detection system 1 may further include a plurality of particle detection sensors 10. For example, one or more particle detection sensors 10 may be provided in each of the suction port 42, the discharge port 43, the suction port 44, and the discharge port 45 of the ventilator 40.
As shown in fig. 3, the particle detection sensor 10 includes a housing 11, a light projecting element 12, a light receiving element 13, and a signal processing circuit 14. In the schematic cross section shown in fig. 3, the signal processing circuit 14 is not shown, and therefore, in fig. 3, the signal processing circuit 14 is schematically shown. The signal processing circuit 14 is mounted on, for example, an outer surface of the housing 11.
The housing 11 accommodates the light projecting element 12 and the light receiving element 13, and has a detection area DA therein. The housing 11 forms a gas flow path containing a plurality of particles P. And a detection area DA located in the gas flow path.
Specifically, as shown in fig. 3, the casing 11 has an inlet 11a through which gas flows into the casing and an outlet 11b through which the gas flows out. As indicated by thick broken line arrows in fig. 3, a path from the inlet 11a to the outlet 11b in the casing 11 corresponds to a gas flow path. Although fig. 3 shows an example in which the gas flow path is formed linearly, the gas flow path may be curved depending on the internal structure of the housing 11 such as a wall.
The particle detection sensor 10 may further include a blowing mechanism for flowing gas from the inlet 11a to the outlet 11 b. The air blowing mechanism is a heating element such as a heater, for example, and generates an updraft due to heat generation. Alternatively, the air blowing mechanism may be a small fan or the like.
The housing 11 has, for example, a light-shielding property, and suppresses the incidence of external light, which causes noise, on the light-receiving element 13 and the detection area DA. The housing 11 is formed, for example, by injection molding using a black resin material. Specifically, the housing 11 is formed by combining a plurality of parts formed by injection molding. The light projecting element 12 and the light receiving element 13 are fixed to predetermined positions in the housing 11 with the plurality of members interposed therebetween.
An optical trap structure that attenuates diffused light by reflecting it multiple times may be provided inside the housing 11. The diffused light is light that is not scattered by the particles P passing through the detection region DA, that is, light other than the scattered light L2, among the light emitted from the light projecting element 12. The light trap structure can attenuate the external light incident from the inlet 11a or the outlet 11 b.
The light projecting element 12 emits light L1 to the detection area DA. The Light projecting element 12 is, for example, a solid-state Light Emitting element, specifically, a Light Emitting Diode (LED). The light projecting element 12 may be a semiconductor laser, an organic el (electroluminescence) element, or the like.
The light L1 emitted from the light projecting element 12 is light having a peak at a predetermined wavelength, such as infrared light, ultraviolet light, blue light, green light, or red light. The half width of the peak of the light L1 may be a narrow band such as 50nm or less, for example. The light L1 is continuous light or pulsating light generated by DC driving, but is not limited thereto.
Further, a condenser lens may be disposed between the light projecting element 12 and the detection area DA. The condenser lens efficiently condenses the light L1 emitted from the light projecting element 12 on the detection area DA.
The light receiving element 13 is a photoelectric conversion element that converts received light into an electrical signal, such as a photodiode, a phototransistor, or a photomultiplier tube. The light receiving element 13 outputs a current signal corresponding to the received light intensity of the received light. The light receiving element 13 has sensitivity in the wavelength band of the light L1 emitted from the light projecting element 12.
The light receiving element 13 receives scattered light L2 of light L1 generated by the particles P passing through the detection area DA. As shown in fig. 3, the light receiving element 13 is disposed at a position where direct light of the light L1 emitted from the light projecting element 12 is not incident. Specifically, the light receiving element 13 is disposed at a position not overlapping the optical axis of the light projecting element 12. The optical axis of the light projecting element 12 corresponds to a path of light having the strongest intensity among the light L1 emitted from the light projecting element 12. Specifically, the optical axis of the light projecting element 12 corresponds to a straight line connecting the light projecting element 12 and the detection area DA. In the present embodiment, the light receiving element 13 is disposed such that the optical axis of the light receiving element 13 intersects the optical axis of the light projecting element 12 in the detection area DA.
A condenser lens may be disposed between the light receiving element 13 and the detection area DA. The condenser lens efficiently condenses the scattered light L2 scattered by the particles P in the detection area DA on the light receiving element 13.
The signal processing circuit 14 calculates an actual measurement value of the mass concentration of the particles contained in the gas from the received light intensity of the scattered light L2, and outputs the calculated actual measurement value as a sensor output value. The signal Processing circuit 14 is realized by, for example, an mpu (micro Processing unit) or the like.
In the present embodiment, when the particles P pass through the detection area DA, the scattered light L2 generated by the particles P enters the light receiving element 13. Therefore, the current signal output from the light receiving element 13 has a large signal intensity. In other words, in the current signal, a peak value which becomes the maximum value of the signal intensity occurs. The magnitude of the signal intensity of the current signal, i.e. the peak intensity, depends on the size of the particle P. Specifically, the larger the particle P, the larger the signal intensity, and the smaller the particle P, the smaller the signal intensity.
The signal processing circuit 14 classifies the particles P into different sizes according to the magnitude of the signal intensity. The size of the particles P is defined, for example, by the particle diameter. For example, the signal processing circuit 14 classifies the particles P into three sizes of "large particles", "medium particles", and "small particles" according to the magnitude of the signal intensity.
In addition, the particle detection sensor 10 actually includes many particles passing through a portion other than the center of the detection area DA. For example, when a large particle passes through the end of the detection area DA, the intensity of the scattered light generated by the particle received by the light receiving element 13 is small. Therefore, even if the particle is large, the size of the particle is erroneously determined as "small particle".
In order to suppress the determination error, the particle detection sensor 10 maintains a histogram in which the signal intensity is associated with the frequency of particles of each size, for example. The histogram shows the frequency distribution of the particle size for each signal intensity. For example, in the case where the signal intensity is large, most of them are large particles. On the other hand, when the signal intensity is small, large particles and medium particles passing through the portion other than the center of the detection area DA are included in addition to the small particles. The signal processing circuit 14 may refer to the histogram from the peak intensity of the electric signal to estimate the size of the particle P corresponding to the peak.
Further, the signal processing circuit 14 counts the number of particles P detected in a certain operation period for each size. The signal processing circuit 14 calculates products of the predetermined average mass and the counted number for each size, and adds the calculated products for each size to calculate an actual measurement value of the mass concentration of the particles during the operation period. The signal processing circuit 14 outputs the calculated actual measurement value to the system controller 30 as a sensor output value.
[ temperature sensor ]
The temperature sensor 20 detects the temperature of the gas. The temperature sensor 20 is provided at the intake port 42 of the ventilator 40, for example, in the same manner as the particle detection sensor 10. The position where the temperature sensor 20 is installed is not limited to this. The temperature sensor 20 may be installed in the same space as the space in which the particle detection sensor 10 is installed, specifically, outdoors, or may be installed at a position distant from the ventilator 40.
The temperature sensor 20 detects the temperature of the gas, and outputs temperature data indicating the detected temperature to the system controller 30. The temperature sensor 20 may obtain other information about the gas such as humidity in addition to the temperature.
[ System controller ]
The system controller 30 controls the overall operation of the particle detection system 1. As shown in fig. 1, the system controller 30 includes a microcontroller 31. The system controller 30 is connected to the particle detection sensor 10, the temperature sensor 20, and the ventilator 40 by wire or wireless so as to be able to communicate with each other, and transmits and receives information.
The microcontroller 31 calculates the mass concentration of particles contained in the gas using the sensor output value output from the particle detection sensor 10 and the temperature detected by the temperature sensor 20. Specifically, the microcontroller 31 calculates the mass concentration based on an equation represented by Y ═ X (At + B) when the temperature detected by the temperature sensor 20 is t, the sensor output value is X, the mass concentration is Y, and predetermined constants are a and B. The calculation process of the mass concentration will be described later.
As shown in fig. 1, the microcontroller 31 has a memory 32 and a processor 33. The microcontroller 31 reads out the calculation program from the memory 32 and executes the calculation program to calculate the mass concentration.
Although not shown in the figure, the microcontroller 31 has input ports to which a sensor output value output from the particle detection sensor 10 and temperature data output from the temperature sensor 20 are input. The microcontroller 31 has an output port for outputting the calculated mass concentration.
The memory 32 is a nonvolatile memory such as a semiconductor memory. The memory 32 stores a program for calculating the mass density output when the sensor output value and the temperature detected by the temperature sensor 20 are input.
The processor 33 reads out the operation program from the memory 32 and executes the operation program. Specifically, the processor 33 obtains the sensor output value and the temperature data, and executes the read-out arithmetic program to calculate and output the mass concentration.
The system controller 30 may control the air exchanging device 40 based on the calculated mass concentration. For example, when the mass concentration is higher than a predetermined threshold value, trapping of outdoor air into the room can be suppressed. Alternatively, when the mass concentration is higher than the predetermined threshold value, the operation efficiency of the filter for removing particles from the outdoor air can be improved. This can reduce the number of particles contained in the air supplied to the room through ventilator 40.
[ Ventilation device ]
The ventilator 40 performs ventilation between the outside and the inside. As shown in fig. 2, the ventilator 40 includes a heat exchanger 41, a suction port 42 facing the outside of the room, a discharge port 43 facing the inside of the room, a suction port 44 facing the inside of the room, and a discharge port 45 facing the outside of the room.
The ventilator 40 captures gas from the outside through the suction port 42, and discharges the captured gas to the inside through the discharge port 43. The ventilator 40 captures the gas from the indoor space through the suction port 44, and discharges the captured gas to the outdoor space through the discharge port 45.
The heat exchanger 41 is disposed on a path of gas from the inlet 42 to the outlet 43 and a path of gas from the inlet 44 to the outlet 45. The heat exchanger 41 supplies or removes heat to outdoor gas (i.e., outdoor air) captured from the suction port 42, and discharges the gas at an appropriate temperature from the discharge port 43 to the indoor space. Here, the appropriate temperature is a range of about 20 ℃ to 28 ℃ suitable for room temperature, for example, a temperature preset by a user as the indoor temperature.
The heat exchanger 41 discharges the indoor gas captured from the suction port 44 to the outside through the discharge port 45. The heat exchanger 41 may supply or remove appropriate heat to the indoor gas captured from the suction port 44, and discharge the gas at an appropriate temperature from the discharge port 43 into the room. That is, the heat exchanger 41 may circulate gas between the indoor space and the heat exchanger.
In the present embodiment, the heat exchanger 41 includes a filter for removing particles contained in the gas. The filter removes, for example, particles such as PM2.5 contained in the outdoor air captured from the suction port 42. Accordingly, clean gas having a sufficiently low mass concentration of particles is supplied into the chamber from the discharge port 43.
The structure of the ventilator 40 is not limited to the example shown in fig. 2. For example, the ventilator 40 may not have a heat exchange function like a ventilator.
[ temperature dependence of particle detection sensor ]
Next, the temperature dependence of the particle detection sensor 10 found by the present inventors is explained.
The particle detection sensor 10 according to the present embodiment differs in the mass density from the actual true value in the sensor output value, which is the actual measurement value, according to the temperature t. This is presumably because of the influence of the temperature characteristics of the light projecting element 12 included in the particle detection sensor 10.
For example, in the case where the light projecting element 12 is a light emitting diode, the light emitting diode has a characteristic that the light output is weaker as the temperature is higher, even if the same power is supplied to the light emitting diode. Therefore, when the temperature is high, the sensor output value output from the particle detection sensor 10 is smaller than when the temperature is low.
Therefore, the true value Y of the mass density can be calculated by multiplying the sensor output value X by a predetermined conversion coefficient K. The conversion coefficient K in the case of a high temperature is a value larger than the conversion coefficient K in the case of a low temperature.
Fig. 4 is a diagram showing a relationship between a sensor output value X and a mass concentration Y of the particle detection sensor 10 according to the present embodiment. Fig. 5 is a diagram showing a relationship between the temperature t detected by the temperature sensor 20 according to the present embodiment and the conversion coefficient K.
As shown in fig. 4, the sensor output value X has a proportional relationship with the mass concentration Y. The proportionality constant of the proportionality relationship is dependent on the temperature t. The proportionality constant is a conversion coefficient K for converting the sensor output value X into the mass concentration Y.
Specifically, the larger the temperature t, the larger the conversion coefficient K, and the smaller the temperature t, the smaller the conversion coefficient K. More specifically, as shown in fig. 5, the scaling coefficient K is represented by a linear function of the temperature t. That is, the constants a and B and the conversion coefficient K are represented by K ═ At + B.
Therefore, the mass concentration Y is expressed by an equation where Y is (At + B) X, using the sensor output value X, the temperature t, and constants a and B. The constants a and B are determined by measuring the mass concentration of the particle detection sensor 10 under the condition that the mass concentration Y and the temperature t are determined in advance.
[ working ]
Next, the operation of the particle detection system 1 according to the present embodiment will be described with reference to fig. 6. Fig. 6 is a flowchart showing the operation of the particle detection system 1 according to the present embodiment.
The particle detection sensor 10 continuously detects the particles P. Specifically, in the particle detection sensor 10, the light projecting element 12 constantly emits the light L1, and when the particles P pass through the detection area DA, the scattered light L2 generated by the passing particles P is received by the light receiving element 13. The signal processing circuit 14 classifies the size of the particles P and counts the number of the particles P based on the received light intensity of the scattered light L2. The signal processing circuit 14 calculates an actual measurement value of the mass concentration from the classification result and the count value of the number, and outputs the calculated actual measurement value as a sensor output value X. The timing of outputting the sensor output value X is not particularly limited. For example, the particle detection sensor 10 outputs a sensor output value X at regular intervals.
As shown in fig. 6, the microcontroller 31 obtains the sensor output value X output from the particle detection sensor 10 (S10). Next, the microcontroller 31 obtains temperature data from the temperature sensor 20 (S20). The acquisition of the sensor output value X and the acquisition of the temperature data may be performed either first or simultaneously.
Next, the microcontroller 31 calculates the mass concentration Y of the particles contained in the gas using the sensor output value X and the temperature t indicated by the temperature data (S30). Specifically, the processor 33 reads out the calculation program from the memory 32, and executes the calculation program based on the sensor output value X and the temperature t, thereby calculating the mass density Y.
[ Effect and the like ]
As described above, the particle detection system 1 according to the present embodiment includes: a light-scattering particle detection sensor 10 that detects particles P contained in a gas; a temperature sensor 20 that detects the temperature of the gas; and a microcontroller 31. The microcontroller 31 calculates the mass concentration of particles contained in the gas using the sensor output value output from the particle detection sensor 10 and the temperature detected by the temperature sensor 20.
Accordingly, since the mass concentration is calculated using the temperature in addition to the sensor output value, the mass concentration can be detected with high accuracy even when the particle detection sensor 10 is affected by the temperature. Therefore, the particle detection system 1 can be used even in an environment with a large temperature change, and is highly versatile.
As described above, according to the present embodiment, the mass concentration can be detected with high accuracy, and the particle detection system 1 with high versatility can be provided.
The present inventors have also found that the sensor output value X and the mass concentration Y have a proportional relationship by conducting measurement tests of the mass concentration using the particle detection sensor 10 under different temperature conditions. Further, the present inventors have found that a conversion coefficient K for converting the sensor output value X into the mass concentration Y, which is a proportionality constant of the proportionality relationship, is expressed by a linear function of the temperature t.
In the particle detection system 1, for example, the microcontroller 31 calculates the mass concentration based on an equation represented by Y ═ (At + B) X, where t is the temperature detected by the temperature sensor 20, X is the sensor output value, Y is the mass concentration, and a and B are predetermined constants.
Thus, the mass concentration can be detected with high accuracy under temperature conditions.
For example, the particle detection sensor 10 includes: a light projecting element 12 that emits light L1 to the detection area DA; a light receiving element 13 for receiving scattered light L2 of light L1 generated by the particles P passing through the detection region DA; a housing 11 that houses the light projecting element 12 and the light receiving element 13 and has a detection area DA inside; and a signal processing circuit 14 that calculates an actual measurement value of the mass concentration of the particles contained in the gas based on the received light intensity of the scattered light L2, and outputs the calculated actual measurement value as a sensor output value.
Accordingly, since the detection area DA, the light projecting element 12, and the light receiving element 13 are accommodated in the housing 11, external light causing noise is less likely to enter the light receiving element 13. Accordingly, the reliability of the sensor output value is improved, and therefore, the mass concentration can be detected with high accuracy.
The light projecting element 12 is, for example, a light emitting diode.
Accordingly, when the light-emitting element 12 of the particle detection sensor 10 is a light-emitting diode, the particle detection system 1 can detect the mass concentration with high accuracy under temperature conditions because the suitability of the relationship with Y ═ At + B) X is good.
The microcontroller 31 has, for example, a memory 32. The memory 32 stores a program for calculating mass density output when the sensor output value and the temperature detected by the temperature sensor 20 are input. The microcontroller 31 reads out the calculation program from the memory 32 and executes the calculation program to calculate the mass concentration.
Accordingly, the microcontroller 31 can automatically calculate the mass concentration by only obtaining the sensor output value and the temperature.
For example, the particle detection system 1 further includes a ventilator 40, and the ventilator 40 has an inlet 42 facing the outside and an outlet 43 facing the inside, captures gas from the outside through the inlet 42, and discharges the captured gas into the inside through the outlet 43. The particle detection sensor 10 is provided in the suction port 42.
Accordingly, the particle detection sensor 10 provided at the suction port 42 of the ventilator 40 is exposed to the outdoor air, and is therefore susceptible to the influence of the outside air temperature. In particular, since the ventilator 40 captures outdoor air, the particle detection sensor 10 is exposed to various environments such as spring, summer, autumn, and winter, or dry season and rainy season. In particular, when considering the use in continents where the temperature changes during the day and the temperature changes during the year are large, it is expected that the appropriate operation is ensured in the range of about-40 ℃ to +40 ℃.
According to the particle detection system 1 of the present embodiment, even when the particle detection sensor 10 is affected by the outside air temperature that changes greatly, the mass concentration can be detected with high accuracy as described above. Therefore, the particle detection system 1 can detect the mass concentration of particles not only on the indoor side but also on the outdoor side of the ventilator 40, and the versatility is further improved.
For example, the particle detection method according to the present embodiment obtains a sensor output value output from the light scattering type particle detection sensor 10 that detects the particles P contained in the gas, obtains the temperature of the gas from the temperature sensor 20, and calculates the mass concentration of the particles contained in the gas using the sensor output value and the temperature.
Accordingly, the mass concentration can be highly accurately measured, and a highly versatile particle detection method can be provided.
(others)
The particle detection system according to the present invention has been described above with reference to the above-described embodiments, but the present invention is not limited to the above-described embodiments.
For example, although the above embodiment shows an example in which the sensor output value X and the mass concentration Y of the particle detection sensor 10 have a proportional relationship in which the conversion coefficient K depending on the temperature t is a proportionality constant, the present invention is not limited to this. For example, the scaling coefficient K may be expressed by an nth-order function, an exponential function, or the like of the temperature t.
For example, the microcontroller 31 may not include the memory 32. For example, the calculation program may be stored in a memory that is detachable from the system controller 30. The microcontroller 31 may read out an arithmetic program from a memory attached to or detached from the system controller 30 and execute the arithmetic program.
For example, the particle detection system 1 may not include the ventilator 40. For example, the particle detection sensor 10 may be installed not in a ventilator but in a lighting device such as a street lamp, a traffic signal, a monitoring camera, a window, a sign, a moving object such as an automobile, or the like.
For example, the microcontroller 31 may not obtain the temperature detected by the temperature sensor 20. For example, the microcontroller 31 may obtain the temperature of the gas as the temperature of the gas at a place where the particle detection sensor 10 is installed, based on temperature data published by a public agency or the like.
The communication method between the apparatuses described in the above embodiments is not particularly limited. When wireless communication is performed between devices, the wireless communication method (communication standard) is short-range wireless communication such as Zigbee (registered trademark), Bluetooth (registered trademark), or wireless lan (local Area network). Alternatively, the wireless communication method (communication standard) may be communication via a wide area communication network such as the internet. Further, instead of wireless communication, wired communication may be performed between the apparatuses. The wired Communication is, specifically, Communication using a Power Line Communication (PLC), a wired LAN, or the like.
In the present embodiment, the processing executed by a specific processing unit may be executed by another processing unit. Further, the order of the plurality of processes may be changed, or a plurality of processes may be executed in parallel. The distribution of the components included in the particle detection system to the plurality of devices is an example. For example, the components included in one device may be included in another device. Further, the particle detection system may be implemented as a single device.
For example, the processing described in the above embodiment may be realized by performing central processing by a single apparatus (system), or may be realized by performing distributed processing by a plurality of apparatuses. One or more processors that execute the program may be provided. That is, the central processing may be performed, or the distributed processing may be performed.
In the above-described embodiment, all or a part of the components such as the control unit may be configured by dedicated hardware, or may be implemented by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a cpu (central Processing unit) or a processor, reading out and executing a software program recorded in a recording medium such as an hdd (hard Disk drive) or a semiconductor memory.
The components of the control unit and the like may be constituted by one or a plurality of electronic circuits. One or more electronic circuits may be general-purpose circuits or dedicated circuits.
The one or more electronic circuits may include, for example, a semiconductor device, an ic (integrated circuit), an lsi (large Scale integration), or the like. The IC or LSI may be integrated as one chip or may be integrated as a plurality of chips. Here, the term "IC" or "LSI" refers to a system LSI, VLSI (Very Large Scale Integration), or ulsi (ultra Large Scale Integration) depending on the degree of Integration. Furthermore, an fpga (field Programmable Gate array) that is Programmable after manufacturing of the LSI can also be used for the same purpose.
The general or specific aspects of the present invention may be implemented by a system, an apparatus, a method, an integrated circuit, or a computer program. Alternatively, the present invention may be realized by a computer-readable non-transitory recording medium such as an optical disc, an HDD, or a semiconductor memory, in which the computer program is stored. The present invention can also be realized by any combination of systems, apparatuses, methods, integrated circuits, computer programs, and recording media.
The present invention also includes an embodiment obtained by implementing various modifications of the embodiments, and an embodiment obtained by arbitrarily combining the constituent elements and functions of the embodiments without departing from the scope of the present invention.
Description of the symbols
1 particle detection system
10 particle detection sensor
11 casing
12 light projecting element
13 light receiving element
14 signal processing circuit
20 temperature sensor
31 microcontroller
32 memory
40 air interchanger
41 heat exchanger
42 suction inlet
43 discharge opening
DA detection area
L1 light
L2 scatters light
P particles
Claims (7)
1. A particle detection system is provided with:
a light scattering type particle detection sensor that detects particles contained in a gas;
a temperature sensor that detects a temperature of the gas; and
a controller for controlling the operation of the electronic device,
the controller calculates a mass concentration of particles contained in the gas by multiplying a sensor output value output from the particle detection sensor by a conversion coefficient depending on a temperature detected by the temperature sensor,
wherein the controller sets the temperature detected by the temperature sensor as t, the sensor output value as X, the mass concentration as Y, and predetermined constants as A and B,
the mass concentration is calculated according to the formula represented by Y ═ (At + B) X.
2. The particle detection system of claim 1,
the particle detection sensor includes:
a light projecting element for emitting light to the detection area;
a light receiving element that receives scattered light of the light generated by the particles passing through the detection region;
a housing that accommodates the light projecting element and the light receiving element and has the detection region therein; and
and a signal processing circuit that calculates an actual measurement value of a mass concentration of particles contained in the gas based on a received light intensity of the scattered light, and outputs the calculated actual measurement value as the sensor output value.
3. The particle detection system of claim 2,
the light projecting element is a light emitting diode.
4. The particle detection system of claim 1,
the controller is provided with a memory and a control unit,
a calculation program for outputting the mass density when the sensor output value and the temperature detected by the temperature sensor are input is stored in the memory,
the controller reads out the operation program from the memory and executes the operation program, thereby calculating the mass concentration.
5. The particle detection system of claim 1,
the particle detection system further comprises a ventilator having a suction port facing outdoors and a discharge port facing indoors, the ventilator capturing the gas from outdoors through the suction port and discharging the captured gas into the indoors through the discharge port,
the particle detection sensor is provided at the suction port.
6. A method for detecting the particles of a particle,
a sensor output value output from a light scattering type particle detection sensor that detects particles contained in a gas is obtained,
the temperature of the gas is obtained from a temperature sensor,
multiplying the sensor output value by a conversion coefficient depending on the temperature, thereby calculating a mass concentration of particles contained in the gas,
when the temperature detected by the temperature sensor is t, the sensor output value is X, the mass concentration is Y, and predetermined constants are a and B, the mass concentration is calculated from an equation represented by (At + B) X.
7. A program recording medium having a program recorded thereon,
for causing a computer to perform the particle detection method of claim 6.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| JP2017-164406 | 2017-08-29 | ||
| JP2017164406 | 2017-08-29 | ||
| PCT/JP2018/027222 WO2019044251A1 (en) | 2017-08-29 | 2018-07-20 | Particle detection system and particle detection method |
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| CN111051853A CN111051853A (en) | 2020-04-21 |
| CN111051853B true CN111051853B (en) | 2022-09-23 |
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| CN201880055079.4A Active CN111051853B (en) | 2017-08-29 | 2018-07-20 | Particle detection system and particle detection method |
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| JP (1) | JP6861396B2 (en) |
| CN (1) | CN111051853B (en) |
| WO (1) | WO2019044251A1 (en) |
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| WO2021039145A1 (en) * | 2019-08-29 | 2021-03-04 | パナソニックＩｐマネジメント株式会社 | Air quality information processing system and air quality information processing method |
| TWI778474B (en) * | 2020-12-21 | 2022-09-21 | 研能科技股份有限公司 | Method of filtering indoor air pollution |
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Also Published As
| Publication number | Publication date |
|---|---|
| JPWO2019044251A1 (en) | 2020-02-27 |
| WO2019044251A1 (en) | 2019-03-07 |
| JP6861396B2 (en) | 2021-04-21 |
| CN111051853A (en) | 2020-04-21 |
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