A spectrum sensor monitoring device and method and intelligent laundry method

Abstract

The present invention discloses a spectral sensor monitoring device and method and an intelligent laundry method, comprising a quartz cuvette (1), an optical signal receiver (2), an absorption spectrum sensor (3), a scattering spectrum sensor (4), a main control unit (5) and a water area to be detected (6), wherein the main control unit obtains an attenuation value through a light intensity difference, and further calculates the concentration and turbidity of the pollutants. The amount of laundry detergent added is quantified by detecting the degree of water pollution in the washing machine, which is more accurate than the existing method of controlling the amount of laundry detergent added by the quality of clothes. During the laundry process, the degree of dirt being washed away is judged by real-time tracking of water quality, which is more efficient and cleaner than traditional timed washing. During the rinsing process, the degree of laundry detergent residue is judged by real-time tracking of water quality, which avoids excessive water use while ensuring thorough rinsing.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent laundry monitoring equipment, and in particular to a spectrum sensor monitoring device. Background Art

[0002] On March 15, 2018, the National Standardization Administration approved and issued the newly revised national standard for washing machines, GB / T4288-2018 "Electric washing machines for household and similar purposes", which will be implemented on October 1, 2018. This revision mainly addresses the low accuracy of the test results of rinsing performance and wear performance, as well as the false labeling of the rated washing capacity. While ensuring the cleaning effect, reducing the wear on fabrics is the ultimate goal of the development of washing technology. High cleaning rate and low wear rate of washing machines are also the best washing methods pursued by consumers. High rinsing rate to ensure health and safety is an inevitable trend for the healthy development of washing technology in the future.

[0003] The implementation of the new national standard will promote the development of my country's washing machine market towards health and high-end. At the same time, the growth of replacement demand will also help the industry develop towards high-end. With the substantial increase in the popularity of washing machines, the growth rate of new demand for washing machines will slow down in the future, while replacement demand will continue to drive the sustained growth of the washing machine market. The demand for replacement often requires higher quality and intelligence of laundry products.

[0004] The existing washing machine technology for controlling the amount of detergent added is based on the weight of the clothes, and does not evaluate the degree of contamination of the clothes. In addition, the washing effect during the washing process is not monitored, and it is impossible to accurately determine whether the clothes are washed clean. The rinsing process is also not tracked, resulting in water waste due to too many rinsing times or excessive detergent residue due to insufficient rinsing times. Summary of the invention

[0005] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a spectral sensor monitoring device and method and an intelligent laundry method that can monitor the washing effect and track the rinsing process.

[0006] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is:

[0007] A spectral sensor monitoring device includes a quartz cuvette, a light signal receiver, an absorption spectrum sensor, a scattering spectrum sensor, a main control unit and a water area to be inspected, wherein the light signal receiver, the absorption spectrum sensor and the scattering spectrum sensor are respectively connected to the main control unit, the quartz cuvette is located outside the water area to be inspected, and the quartz cuvette is located on the light path of the light signal receiver, the absorption spectrum sensor and the scattering spectrum sensor. The absorption spectrum sensor is arranged opposite to the light signal receiver, while the scattering spectrum sensor is arranged vertically to the light signal receiver. After the first light signal generated by the absorption spectrum sensor passes through the water area to be inspected, it is absorbed by the pollutants in the water area to be inspected, and the remaining first light signal is directly emitted into the light signal receiver. After the second light signal generated by the scattering spectrum sensor passes through the water area to be inspected, it is scattered by the particles in the water area to be inspected and then enters the light signal receiver.

[0008] Preferably, the quartz cuvette is annular in structure, the area enclosed by the inner ring is the water area to be tested, and the optical signal receiver, the absorption spectrum sensor, and the scattering spectrum sensor are arranged around the outer ring of the quartz cuvette.

[0009] Preferably, there are three quartz cuvettes, namely quartz cuvette one, quartz cuvette two and quartz cuvette three. Quartz cuvette one is arranged on the scattering spectrum sensor, quartz cuvette two is arranged on the absorption spectrum sensor, and quartz cuvette one is arranged on the optical signal receiver.

[0010] Preferably, the optical signal receiver, the absorption spectrum sensor and the scattering spectrum sensor are arranged outside the water area to be inspected.

[0011] Preferably, the first quartz cuvette, the second quartz cuvette and the third quartz cuvette are all T-shaped quartz cuvettes, and the narrower sides of the first quartz cuvette, the second quartz cuvette and the third quartz cuvette point to the central axis of the water region to be tested.

[0012] Preferably: the absorption spectrum sensor comprises a first optical signal transmitter, a PCB board 1, and a thermistor 1, wherein the first optical signal transmitter, the PCB board 1, and the thermistor 1 are respectively connected to a main control unit, and the first optical signal transmitter is coaxially installed with an optical signal receiver.

[0013] Preferably: the scattering spectrum sensor includes a second optical signal transmitter, a second PCB board, and a second thermistor, the second optical signal transmitter, the second PCB board, and the second thermistor are respectively connected to the main control unit, and the second optical signal transmitter is perpendicular to the optical signal receiver.

[0014] Preferably: it comprises a shell and a bracket, the bracket is installed in the shell, the quartz cuvette, light signal receiver, absorption spectrum sensor, scattering spectrum sensor, and main control unit are installed on the bracket, and the shell is provided with a through hole, which is connected to the water area to be tested.

[0015] A monitoring method using a spectral sensor monitoring device comprises the following steps:

[0016] Step 1: Place the spectral sensor monitoring device in the water sample to be tested, and the water sample to be tested enters the water area to be tested.

[0017] Step 2: The main control unit controls the absorption spectrum sensor to generate the first light signal. The first light signal passes through the quartz cuvette, the water sample with detection, and the quartz cuvette in turn and enters the light signal receiver. The light signal receiver obtains the first light signal intensity after irradiating the water sample. The absorption spectrum sensor collects the calibrated first light signal intensity and temperature and transmits them to the main control unit. The main control unit obtains the attenuation of the first light signal intensity based on the first light signal intensity after irradiation and the calibrated first light signal intensity, and then calculates the concentration of the pollutant based on the attenuation of the first light signal intensity and the temperature. The total concentration of organic matter and suspended small particles can be determined and analyzed by the concentration of the pollutant.

[0018] Step 3: The main control unit controls the scattering spectrum sensor to generate a second light signal. After passing through the quartz cuvette, the second light signal is irradiated on the water sample to be tested in the water area to be tested. The second light signal scattered by the suspended particles in the water passes through the quartz cuvette and enters the light signal receiver. The light signal receiver obtains the second light signal intensity after irradiating the water sample. The scattering spectrum sensor collects the calibrated second light signal intensity and temperature 2 and transmits them to the main control unit. The main control unit obtains the attenuation of the second light signal intensity based on the second light signal intensity after irradiation and the calibrated second light signal intensity, and then calculates the turbidity value based on the attenuation of the second light signal intensity and temperature 2.

[0019] An intelligent laundry method using a spectral sensor monitoring device comprises the following steps:

[0020] Step 1: Place the spectrum sensor monitoring device in the washing machine, and connect the main control unit to the washing machine control unit.

[0021] Step 2, Initial: Start the spectral sensor monitoring device, put tap water into the washing machine, the tap water enters the water area to be tested, the absorption spectrum sensor and the scattering spectrum sensor respectively irradiate the tap water to obtain the concentration and turbidity of pollutants in the tap water, and use the obtained concentration and turbidity of pollutants in the tap water as water quality data, and determine the laundry detergent residual threshold based on the water quality data.

[0022] Step 3, physical stirring process: in the absence of laundry detergent, put the clothes to be washed into the washing machine, and start the physical stirring of the washing machine. As the washing machine stirs, the dirt on the clothes to be washed will enter the water body, causing the concentration and turbidity of pollutants in the water body to increase. After physical stirring, the concentration and turbidity of pollutants in the water body at this time are detected by the spectral sensor monitoring device, and the concentration and turbidity of pollutants in the water body at this time are subtracted from the concentration and turbidity of pollutants in tap water to obtain the degree of clothing contamination.

[0023] Step 4, washing process: the washing machine control unit obtains the amount of laundry detergent to be added according to the degree of contamination of the clothes, and injects the amount of laundry detergent into the washing machine. Under the action of the laundry detergent, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of the pollutants in the water body to gradually increase and reach a constant value. The spectral sensor monitoring device monitors the concentration and turbidity of the pollutants in this process in real time. When the concentration of the pollutants before and after fluctuates within threshold value one and the turbidity value fluctuates within threshold value two, the washing process ends.

[0024] Step 5, rinsing process: The washing machine control unit starts the rinsing process. During the rinsing process, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of the pollutants in the water body to gradually increase. The spectral sensor monitoring device monitors the concentration and turbidity of the pollutants in the rinsing process in real time, and uses the concentration and turbidity of the pollutants at this time as the residual value of the laundry detergent. As the number of rinses increases, the dirt on the clothes to be washed that enters the water body gradually decreases. When the detected concentration and turbidity of the pollutants are less than or equal to the residual threshold of the laundry detergent, the rinsing process ends.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. Quantifying the amount of laundry detergent added by detecting the degree of water pollution in the washing machine is more accurate than the existing method of controlling the amount of laundry detergent added by clothing quality.

[0027] 2. During the laundry process, the water quality is tracked in real time to determine the degree of dirt being washed away. This is more efficient and cleaner than traditional timed washing.

[0028] 3. During the rinsing process, the water quality is tracked in real time to determine the degree of detergent residue, avoiding excessive water use while ensuring thorough rinsing. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a front view of Example 1;

[0030] Figure 2 is a top view of Example 1;

[0031] Figure 3 It is a front view of Example 2;

[0032] Figure 4 is a top view of Example 2;

[0033] Figure 5 It is a front view of Example 3;

[0034] Figure 6 is a top view of Example 3;

[0035] Figure 7 It is a front view of Example 4;

[0036] Figure 8 This is a top view of Example 4.

[0037] Among them, 1 is a quartz cuvette, 11 is a quartz cuvette one, 12 is a quartz cuvette two, 13 is a quartz cuvette three, 2 is an optical signal receiver, 3 is an absorption spectrum sensor, 4 is a scattering spectrum sensor, 5 is a main control unit, 6 is a water area to be tested, 7 is a housing, 8 is a bracket, and 9 is a sealing ring. DETAILED DESCRIPTION

[0038] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention. After reading the present invention, various equivalent forms of modifications to the present invention by those skilled in the art all fall within the scope defined by the claims attached to this application.

[0039] Example 1

[0040] A spectral sensor monitoring device, such as Figure 1 , 2As shown, it includes a quartz cuvette 1, an optical signal receiver 2, an absorption spectrum sensor 3, a scattering spectrum sensor 4, a main control unit 5, a water area to be inspected 6, a housing 7 and a bracket 8. The optical signal receiver 2, the absorption spectrum sensor 3 and the scattering spectrum sensor 4 are connected to the main control unit 5 respectively, and the quartz cuvette 1 is located on the light path of the optical signal receiver 2, the absorption spectrum sensor 3 and the scattering spectrum sensor 4. The absorption spectrum sensor 3 is arranged opposite to the optical signal receiver 2, and the scattering spectrum sensor 4 is arranged vertically to the optical signal receiver 2. The present invention arranges the absorption spectrum sensor 3 and the optical signal receiver 2 opposite to each other, and uses direct light, which is related to the concentration. The scattering spectrum uses a scattering method, and the scattering spectrum sensor 4 is 90 degrees from the optical signal receiver 2. The present invention uses the same optical signal receiver 2 to receive scattered light and direct light respectively, and can accurately measure the concentration and turbidity of pollutants. The first light signal generated by the absorption spectrum sensor 3 passes through the water area to be inspected 6 and directly enters the optical signal receiver 2, and the second light signal generated by the scattering spectrum sensor 4 enters the optical signal receiver 2 after being scattered in the water area to be inspected 6. The quartz cuvette 1 is annular in structure, and the area enclosed by the inner ring is the water area to be tested 6. The optical signal receiver 2, the absorption spectrum sensor 3, and the scattering spectrum sensor 4 are arranged around the outer ring of the quartz cuvette 1. The bracket 8 is installed in the housing 7 by screws, and the quartz cuvette 1, the optical signal receiver 2, the absorption spectrum sensor 3, the scattering spectrum sensor 4, and the main control unit 5 are installed on the bracket 8. The housing 7 is provided with a through hole, and the through hole 7 is connected to the water area to be tested 6. Under the same current driving conditions, the luminous intensity of the LED will decrease with the increase of temperature. We measured the relationship between the decrease in luminous intensity and temperature. Therefore, we set thermistors in the absorption spectrum sensor 3 and the scattering spectrum sensor 4 respectively, and collect the temperature when emitting light to compensate for the light. When collecting data, the device will collect the luminous intensity at the current temperature and the current temperature at the same time, and then compensate the part of the luminous intensity lost due to temperature through calculation, thereby eliminating the influence of temperature on the luminous intensity of the LED. The absorption spectrum sensor 3 includes a first optical signal transmitter, a PCB board 1, and a thermistor 1. The first optical signal transmitter, PCB board 1, and the thermistor 1 are respectively connected to the main control unit 5. The first optical signal transmitter and the optical signal receiver 2 are coaxially installed. The scattering spectrum sensor 4 includes a second optical signal transmitter, a PCB board 2, and a thermistor 2. The second optical signal transmitter, PCB board 2, and the thermistor 2 are respectively connected to the main control unit 5. The second optical signal transmitter is perpendicular to the optical signal receiver. The outer shell 7 includes an upper shell, a lower shell, a back cover, and a plurality of sealing rings 9. The upper shell and the lower shell are connected by screws, and the back cover is fixed by buckles. Figure 1 , 2As shown, the spectral sensor monitoring device of the present invention is divided into a water-permeable part and a non-water-permeable part. The water-permeable part is mainly composed of a quartz cuvette 1, an optical signal receiver 2, an absorption spectrum sensor 3, a scattering spectrum sensor 4, and a water area to be detected 6, and the non-water-permeable part is mainly composed of a main control unit 5. The absorption spectrum sensor drives the optical signal receiver through a DC voltage to obtain the first optical signal intensity value, and transmits data to the main control unit. The main control unit obtains the attenuation value through the difference in the intensity of the first optical signal, and then calculates the concentration of the pollutant. The scattering spectrum sensor drives the optical signal receiver through a DC voltage to obtain the second optical signal intensity value, and transmits data to the main control unit. The main control unit obtains the attenuation value through the difference in the intensity of the second optical signal, and then calculates the turbidity value. The present invention uses an optical signal receiver 2 to directly receive the first optical signal directly emitted by the absorption spectrum sensor and the second optical signal scattered by the scattering spectrum sensor 4 through the water particles, which simplifies the structure and improves the detection accuracy.

[0041] A monitoring method using a spectral sensor monitoring device comprises the following steps:

[0042] Step 1: Place the spectral sensor monitoring device in the water sample to be tested, and the water sample to be tested enters the water area 6 to be tested.

[0043] Step 2: The main control unit 5 controls the absorption spectrum sensor 3 to generate a first light signal. The first light signal passes through the quartz cuvette 1, the water sample to be tested, and the quartz cuvette 1 in sequence and enters the light signal receiver 2. The pollutants in the water sample absorb the first light signal. The light signal receiver 2 obtains the first light signal intensity after irradiating the water sample. The wavelength of the first light signal is between 200nm and 1000nm. The temperature of the absorption spectrum sensor 3 at this time is measured by thermistor 1, which is recorded as temperature 1. The main control unit obtains the attenuation of the first light signal intensity based on the first light signal intensity after irradiation and the calibrated first light signal intensity, and then calculates the concentration of the pollutant based on the attenuation of the first light signal intensity and temperature 1.

[0044] Step three, the main control unit 5 controls the scattering spectrum sensor 4 to generate a second light signal. After the second light signal passes through the quartz cuvette 1, it is irradiated on the water sample to be tested in the water area 6 to be tested. The second light signal scattered by the suspended particles in the water passes through the quartz cuvette 1 and enters the light signal receiver 2. The light signal receiver 2 obtains the second light signal intensity after irradiating the water sample. The temperature of the scattering spectrum sensor 4 at this time is measured by thermistor 2, which is recorded as temperature 2. The main control unit obtains the attenuation of the second light signal intensity based on the second light signal intensity after irradiation and the calibrated second light signal intensity, and then calculates the turbidity value based on the attenuation of the second light signal intensity and temperature 2.

[0045] Since the light signal of the scattered light spectrum is relatively sensitive, it is easy to cause falsely high data when detected independently. The attenuation of the first light signal intensity and temperature one obtained in step two are compensated to the attenuation of the second light signal intensity and temperature two in step three, and the turbidity value is calculated to obtain the turbidity value after the first light signal compensates for the second light signal. This compensation method can reduce the interference of small bubbles on the scattered light of the second light signal, and the turbidity value obtained is accurate. Therefore, the present invention combines the absorption spectrum for detection, which can correct the scattered light spectrum signal data. By using the absorption spectrum and the scattered light spectrum for joint detection, the detection accuracy is improved, so that the concentration and turbidity of the pollutants obtained are more accurate.

[0046] The present invention designs the absorption spectrum sensor 3 and the optical signal receiver to be opposite to each other. The first optical signal irradiates the water sample, and the luminous wavelength is between 200nm and 1000nm. The pollutants in the water sample absorb the first optical signal. The optical signal receiver receives the first optical signal that passes through the water-passing part. The main control unit calculates the concentration of the pollutant based on the attenuation of the light intensity of the first optical signal and temperature 1. The scattering spectrum sensor 4 and the optical signal receiver are designed to be 90° apart. The second optical signal irradiates the water sample, and the particles in the water sample reflect the second optical signal. The optical signal receiver receives the second optical signal scattered by the suspended particles in the water-passing part. The main control unit calculates the turbidity concentration based on the light intensity of the second optical signal and temperature 2.

[0047] An intelligent laundry method using a spectral sensor monitoring device comprises the following steps:

[0048] Step 1: Place the spectrum sensor monitoring device in the washing machine, and connect the main control unit 5 to the washing machine control unit.

[0049] Step 2, initialization: start the spectral sensor monitoring device, put tap water into the washing machine, the tap water enters the water area to be tested 6, the absorption spectrum sensor 3 and the scattering spectrum sensor 4 respectively irradiate the tap water to obtain the concentration and turbidity of pollutants in the tap water, and use the obtained concentration and turbidity of pollutants in the tap water as water quality data, and determine the laundry detergent residual threshold value based on the water quality data.

[0050] Step 3, physical stirring process: in the absence of laundry detergent, put the clothes to be washed into the washing machine, start the physical stirring of the washing machine, with the stirring process of the washing machine, the dirt on the clothes to be washed will enter the water body, resulting in an increase in the concentration and turbidity of pollutants in the water body. After physical stirring, the concentration and turbidity of pollutants in the water body at this time are detected by a spectral sensor monitoring device, and the concentration and turbidity of pollutants in the water body at this time are subtracted from the concentration and turbidity of pollutants in tap water to obtain the degree of clothing contamination. The present invention can intelligently determine the amount of laundry detergent to be added to ensure the cleaning effect of the clothes, and the amount of laundry detergent added is more accurate.

[0051] Step 4, laundry process: The washing machine control unit obtains the amount of laundry detergent to be added according to the degree of contamination of the clothes, and injects the amount of laundry detergent into the washing machine. Under the action of the laundry detergent, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of the pollutants in the water body to gradually increase and reach a constant value. The spectral sensor monitoring device monitors the concentration and turbidity of the pollutants in this process in real time. When the concentration fluctuations of the pollutants before and after are within threshold value one and the turbidity value fluctuations are within threshold value two, the laundry process ends. During the laundry process of the present invention, the degree of dirt being washed away is judged by real-time tracking of water quality (concentration and turbidity of pollutants), which is more efficient and cleaner than traditional timed washing.

[0052] Step 5, rinsing process: The washing machine control unit starts the rinsing process. During the rinsing process, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of pollutants in the water body to gradually increase. The spectral sensor monitoring device monitors the concentration and turbidity of pollutants in the rinsing process in real time, and uses the concentration and turbidity of pollutants at this time as the residual laundry detergent index. As the number of rinses increases, the dirt on the clothes to be washed that enters the water body gradually decreases. When the detected concentration and turbidity of pollutants are less than or equal to the residual laundry detergent threshold, the rinsing process ends. When the rinsing water quality is close to the tap water quality, it can be considered that the residual laundry detergent on the clothes has been rinsed away.

[0053] The advantages of the present invention compared with the prior art are:

[0054] 1. Substances that cannot be measured by turbidity measurement

[0055] In addition to solid particle pollutants and increased water turbidity caused by clothing fading during the laundry process, there are also many organic liquid soluble pollutants, and the elution process of these pollutants cannot be detected by turbidity sensors. The absorption spectrum sensor has the ability to detect these substances, and can realize sensitive detection of the degree of dirt washing during the laundry process and the degree of laundry detergent residue during the rinsing process.

[0056] 2. Can cover substances measured by turbidity

[0057] During the laundry process, solid particulate pollutants enter the water body along with the laundry detergent, which can cause the turbidity to increase. At the same time, it will also cause the concentration of pollutants measured by spectroscopy to increase. Therefore, measuring the changes in the concentration of pollutants during the laundry process can reflect the process of solid particulate pollutant elution to a certain extent.

[0058] 3. Ignore the interference caused by tiny bubbles generated during the agitation process of the washing machine

[0059] Laundry detergent contains a large amount of foaming agent. During the washing process, as the physical stirring process proceeds, tiny bubbles are easily generated in the water. Turbidity detection is very sensitive to such tiny bubbles, which can easily lead to falsely high data. Pollutant concentration detection can avoid the occurrence of this falsely high phenomenon.

[0060] In summary, the present invention detects the water quality in the washing machine through the water-passing part, and the absorption spectrum sensor emits a first light signal to irradiate the water sample, and the luminous wavelength is between 200nm and 1000nm. The first light signal passing through the water-passing part is received, and the main control unit calculates the concentration of the pollutant according to the attenuation of the light intensity of the first light signal and temperature 1, and controls the water quality indicator unit to display the monitoring result of the concentration of the pollutant. The scattering spectrum sensor emits a second light signal to irradiate the water sample through the water-passing part, and receives the second light signal scattered by the suspended particles in the water. The main control unit calculates the turbidity value according to the scattered light intensity of the second light signal and temperature 2, and controls the water quality indicator unit to display the turbidity monitoring result. In order to improve the detection accuracy, the attenuation of the light intensity of the first light signal and temperature 1 are compensated to the attenuation of the light intensity of the second light signal and temperature 2 to calculate the turbidity value, so as to improve the detection of turbidity. By jointly detecting the light signal with the light signal, the detection accuracy is improved, so that the concentration and turbidity of the pollutants obtained are more accurate.

[0061] Example 2

[0062] like Figure 3 , 4 As shown, the difference between this embodiment and embodiment 1 is that: the quartz cuvette 1 has three pieces, namely, quartz cuvette 1 11, quartz cuvette 2 12, and quartz cuvette 3 13; the water area 6 to be inspected is a quasi-square channel; quartz cuvette 1 11, quartz cuvette 2 12, and quartz cuvette 3 13 are installed on the water area 6 to be inspected; the quartz cuvette 1 11 is fixedly connected to the scattering spectrum sensor 4; the quartz cuvette 2 12 is fixedly connected to the absorption spectrum sensor 3; and the quartz cuvette 1 13 is fixedly connected to the optical signal receiver 2. The quartz cuvette 1 11, quartz cuvette 2 12, and quartz cuvette 3 13 are all T-shaped quartz cuvettes, and the narrower sides of the quartz cuvette 1 11, quartz cuvette 2 12, and quartz cuvette 3 13 point to the central axis of the water area 6 to be inspected.

[0063] Example 3

[0064] like Figure 5 , 6As shown, the difference between this embodiment and embodiment 1 is that: the quartz cuvette 1 has three pieces, namely quartz cuvette one 11, quartz cuvette two 12, and quartz cuvette three 13, and the quartz cuvette one 11, quartz cuvette two 12, and quartz cuvette three 13 are all type I quartz cuvettes. The water area 6 to be tested is an open area, surrounded by quartz cuvette one 11, quartz cuvette two 12, and quartz cuvette three 13. The quartz cuvette one 11 is installed on the scattering spectrum sensor 4, the quartz cuvette two 12 is installed on the absorption spectrum sensor 3, and the quartz cuvette one 13 is installed on the optical signal receiver 2. The optical signal receiver 2, the absorption spectrum sensor 3, and the scattering spectrum sensor 4 are installed on the bracket 8, and the optical signal receiver 2, the absorption spectrum sensor 3, and the scattering spectrum sensor 4 are distributed in a triangular shape on the transverse section.

[0065] Example 4

[0066] like Figure 7 , 8 As shown, the difference between this embodiment and embodiment 3 is that the optical signal receiver 2, the absorption spectrum sensor 3, and the scattering spectrum sensor 4 are distributed in a triangular shape in the longitudinal section.

[0067] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent laundry method using a spectral sensor monitoring device, characterized in that: The spectral sensor monitoring device comprises a quartz cuvette (1), a light signal receiver (2), an absorption spectrum sensor (3), a scattering spectrum sensor (4), a main control unit (5), and a water area to be tested (6); the light signal receiver (2), the absorption spectrum sensor (3), and the scattering spectrum sensor (4) are respectively connected to the main control unit (5); the quartz cuvette (1) is located outside the water area to be tested (6), and the quartz cuvette (1) is located on the light path of the light signal receiver (2), the absorption spectrum sensor (3), and the scattering spectrum sensor (4); the absorption spectrum sensor (3) and the light signal receiver (2) are arranged opposite to each other, and the scattering spectrum sensor (4) and the light signal receiver (2) are arranged vertically; The following steps are involved: Step 1, placing the spectrum sensor monitoring device in the washing machine, and connecting the main control unit (5) to the washing machine control unit; Step 2, initialization: start the spectrum sensor monitoring device, put tap water into the washing machine, the tap water enters the water area to be tested (6), the absorption spectrum sensor (3) and the scattering spectrum sensor (4) respectively irradiate the tap water to obtain the concentration and turbidity of pollutants in the tap water, and use the obtained concentration and turbidity of pollutants in the tap water as water quality data, and determine the residual threshold of laundry detergent based on the water quality data; Step 3, physical stirring process: in the absence of laundry detergent, put the clothes to be washed into the washing machine, start the physical stirring of the washing machine, with the stirring process of the washing machine, the dirt on the clothes to be washed will enter the water body, resulting in an increase in pollutants and turbidity in the water body. After physical stirring, the concentration and turbidity of the pollutants in the water body at this time are detected by the spectral sensor monitoring device, and the concentration and turbidity values ​​of the pollutants in the water body at this time are subtracted from the concentration and turbidity values ​​of the pollutants in the tap water to obtain the degree of clothing contamination; Step 4, washing process: the washing machine control unit obtains the amount of laundry detergent to be added according to the degree of contamination of the clothes, and injects the laundry detergent of the amount into the washing machine; under the action of the laundry detergent, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of the pollutants in the water body to gradually increase and eventually tend to a constant value; the spectral sensor monitoring device monitors the concentration and turbidity of the pollutants in this process in real time, and when the concentration fluctuations of the pollutants before and after are within the threshold value one and the turbidity value fluctuations are within the threshold value two, the washing process ends; Step 5, rinsing process: the washing machine control unit starts the rinsing process. During the rinsing process, the dirt on the clothes to be washed enters the water body, causing the concentration and turbidity of the pollutants in the water body to gradually increase; the spectral sensor monitoring device monitors the concentration and turbidity of the pollutants in the rinsing process in real time, and uses the concentration and turbidity of the pollutants at this time as the residual value of the laundry detergent. As the number of rinses increases, the laundry detergent on the clothes to be washed gradually decreases, and the laundry detergent entering the water body also gradually decreases. When the detected concentration and turbidity of the pollutants are less than or equal to the laundry detergent residual threshold, the rinsing process ends.

2. The intelligent laundry method using a spectrum sensor monitoring device according to claim 1, characterized in that: The quartz cuvette (1) has a ring-shaped structure, the area enclosed by the inner ring is the water area (6) to be tested, and the optical signal receiver (2), the absorption spectrum sensor (3), and the scattering spectrum sensor (4) are arranged around the outer ring of the quartz cuvette (1).

3. The intelligent laundry method using a spectrum sensor monitoring device according to claim 1, characterized in that: The quartz cuvette (1) comprises three pieces, namely quartz cuvette one (11), quartz cuvette two (12), and quartz cuvette three (13). The quartz cuvette one (11) is arranged on the scattering spectrum sensor (4), the quartz cuvette two (12) is arranged on the absorption spectrum sensor (3), and the quartz cuvette three (13) is arranged on the optical signal receiver (2).

4. The intelligent laundry method using a spectrum sensor monitoring device according to claim 3, characterized in that: The optical signal receiver (2), the absorption spectrum sensor (3), and the scattering spectrum sensor (4) are arranged outside the water area (6) to be detected.

5. The intelligent laundry method using a spectrum sensor monitoring device according to claim 4, characterized in that: The quartz cuvette one (11), the quartz cuvette two (12), and the quartz cuvette three (13) are all T-shaped quartz cuvettes, and the narrower sides of the quartz cuvette one (11), the quartz cuvette two (12), and the quartz cuvette three (13) point to the central axis of the water area (6) to be tested.

6. The intelligent laundry method using a spectrum sensor monitoring device according to claim 1, characterized in that: The absorption spectrum sensor (3) comprises a first optical signal transmitter, a PCB board, and a thermistor; the first optical signal transmitter, the PCB board, and the thermistor are respectively connected to a main control unit (5); and the first optical signal transmitter is coaxially mounted with an optical signal receiver (2).

7. The intelligent laundry method using a spectrum sensor monitoring device according to claim 1, characterized in that: The scatter spectrum sensor (4) comprises a second optical signal transmitter, a second PCB board and a second thermistor, and the second optical signal transmitter, the second PCB board and the second thermistor are respectively connected to a main control unit (5).

8. The intelligent laundry method using a spectrum sensor monitoring device according to claim 1, characterized in that: The device comprises a housing and a bracket, wherein the bracket is mounted in the housing, and the quartz cuvette (1), the optical signal receiver (2), the absorption spectrum sensor (3), the scattering spectrum sensor (4), and the main control unit (5) are mounted on the bracket. The housing is provided with a through hole, and the through hole is connected to the water area to be detected (6).

Images