JPH0539937A - Air quality control system - Google Patents

Abstract

PURPOSE:To maintain air quality environment in a comfortable state by deter mining the state of air quality in which raw sewage stink is dominant as in a rest room at a sensitivity like human sensibility and controlling an air quality controller accordingly. CONSTITUTION:An air quality control system is constituted of a raw sewage stink detecting means 1, a fuzzy inferring means 3 to determine air quality state based on the output from the raw sewage stink detecting means 1 and stink strength information 2, an air quality controller 4 to change air quality circumstances based on the determined air quality state, and the like. Thus, as the air quality state can be determined by the fuzzy inference at a level near human sensibility, the air quality environment can be maintained and manaed in a comfortable state by finely controlling the air quality controller.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air quality control for detecting an odor component which mainly constitutes a nourishing odor of a toilet or the like and controlling an air quality control device such as a ventilation device or an air cleaning device based on the detection signal. It is about the system.

[0002]

2. Description of the Related Art In recent years, interest in removing offensive odors mainly from human waste odors in toilets has increased in office buildings, general houses and the like, and ventilation devices and air purifying devices have been widely introduced as measures to remove offensive odors. In addition, as an inexpensive odor removing means, there are deodorizing devices and deodorizing devices using various adsorbents.

[0003]

However, most of the conventional ventilators and air purifiers are operated or set by the residents themselves, and most of them have limited operating conditions. It was almost impossible to perform the control corresponding to the state of. Further, in the deodorizing device and the deodorizing device, it is necessary to frequently replace the adsorbent, so that these capabilities are limited. In order to solve these problems, the present invention detects the state of the air quality that is the source of the bad odor in which human odor is dominant, and by determining it, an accurate and detailed air corresponding to the change in the actual air quality. The purpose is to perform quality control.

[0004]

In order to solve the above problems, the present invention uses, for example, a volatile sulfur compound detecting gas sensor and an ammonia detecting gas sensor as a human urine odor detecting means for detecting human urine odor. The fuzzy inference is executed based on the output from the means and the odor intensity, which is the amount of sensation to the bad odor, and the fuzzy inference means for determining the air quality state, which is the dominant source of the bad odor, is provided with the fuzzy inference means. It is an object of the present invention to provide an air quality control system that controls an air quality control device such as a ventilation device or an air cleaning device based on the inference result.

[0005]

[Function] By performing fuzzy inference based on the output from the human urine odor detection means and the odor intensity, which is the amount of perceived odor, a human olfaction is used to determine the air quality state, which is the dominant source of malodor. This makes it possible to make a real-time determination at a level close to, which enables precise control of air quality.

[0006]

1 is a block diagram of an air quality control system showing an embodiment of the present invention. In the figure, 1 is a urine odor detecting means for detecting an odor component constituting a nourishing odor, 2 is odor intensity information that a human feels against a bad odor, 3 is nourishing odor based on the output of the urine odor detecting means and odor intensity information. Is a fuzzy inference means for determining the state of air quality, which is the dominant odor source,
Reference numeral 4 is an air quality control device such as a ventilation device and an air cleaning device that is controlled based on the inference result.

The main odorous substances constituting the nightmarine odor are hydrogen sulfide, volatile sulfur compounds such as mercaptan, and nitrogen-containing compounds such as ammonia. Therefore, as a human waste odor detecting means, S which detects a volatile sulfur compound with high sensitivity.
nO ₂ -based oxide semiconductor gas sensor (hereinafter referred to as sulfide sensor) and SnO that detects ammonia with high sensitivity
_It was decided to use a ₂ type oxide semiconductor gas sensor (hereinafter referred to as an ammonia sensor) in combination.

As the odor intensity, a known 6-step display method was used. That is, the odor intensity is set to 0 in the case of no odor, and the strong odor is set to the odor intensity of 5, and the odor intensity is divided by the amount of odor sensation.

The fuzzy inference means comprises a circuit device composed of a microprocessor programmed to execute the fuzzy inference, a control rule memory, an odor intensity information memory, etc., and an output signal from the human urine odor detecting means. And the odor intensity information are taken in, the state of air quality is judged based on the inference result, and the result is output to the air quality control device. In the present embodiment, the output of the urine odor detecting means is corrected for temperature and humidity, and the output is standardized. However, fuzzy inference can be performed without standardization. Since the correspondence relationship between the odor intensity and the gas sensor output can be obtained in advance by a declaration test or the like, the odor intensity information can be obtained relatively easily.

Next, the operation of the air quality control system of the embodiment will be described based on a concrete example of the fuzzy inference means. The human-smell odor detection output obtained by the sulfide sensor and the ammonia sensor is the temperature in the fuzzy inference means,
Humidity correction processing is performed, and the human odor information is standardized as an output ratio based on the sensor output in a clean state. The fuzzy inference means further executes fuzzy inference according to preset control rules based on the obtained sewage odor information and odor intensity information, and is an air quality information for controlling the air quality control device. The status information of is output.

An example of the membership functions of the standardized sulfide sensor output X _S , the standardized ammonia sensor output X _A , and the output air quality state Y is shown in FIG.
It shows in (a), (b), (c). Sulfide sensor output X
_{In S} , the reference level is S _B, and the output level is successively increased as S _L and S _H. Further, in the ammonia sensor output X _A , it is shown that the reference level is A _B, and the output levels increase in the order of A _L and A _H. In state Y of air quality to be output, the "no uncomfortable even free" G _1, the "unpleasant" G _2, a "very unpleasant" G ₃
And

The nine control rules are set and stored as follows, respectively. _{Rule1: IF X S is S B} and X A is A B THEN Y is G 1 Rule2: IF X S is S L and X A is A B THEN Y is G 2 Rule3: IF X S is S H and X A is A _B THEN Y is G ₃ Rule 4: IF X _S is S _B and X _A is A _L THEN Y is G ₂ Rule 5: IF X _S is S _L and X _A is A _L THEN Y is G ₃ Rule 6: IF X _{S is S H and X A is A} L THEN Y is G 3 Rule7: IF X S is S B and X A is A H THEN Y is G 3 Rule8: IF X S is S L and X A is A H THEN Y is G ₃ Rule9: allocating a _{IF X S is S H and X} a is a H THEN Y is G 3 the rules for each as shown in (Table 1) square . The numbers in parentheses in the table indicate the corresponding rule numbers.

[0013]

[Table 1]

FIG. 3 shows a flow chart of inference. First, in step 1, each sensor detects a volatile sulfur compound and ammonia.

In step 2, each sensor output is subjected to temperature and humidity correction processing and further standardization processing.

In step 3, the fuzzy inference processor determines the membership value at each sensor output using the fuzzy variable membership function for each of the sulfide sensor output and the ammonia sensor output.

In step 4, the membership value of each sensor output is the antecedent part (IF ...) Of each control rule.
The degree to which is satisfied is determined, and the control rule is determined.

In step 5, the state of the air quality is judged by the membership function of the executed execution unit (THEN ...) Of the control rule, and the signal is output to the air quality control device as a control signal.

It has been clarified that the state of the air quality environment can be sensitively detected and the air quality control system can be effectively operated by executing the inference according to this control rule.

Next, a different embodiment will be described. The air quality control system with the ozone deodorizing function was operated according to the air quality state judged by the fuzzy inference means. As a control condition, when the air quality judgment result is G ₁ , only the ventilation is performed without operating the ozone deodorizing function, and when the judgment result is G ₂ , the treated air amount is 60.
The ozone deodorizing function is activated so that it becomes 1 / min, and when the judgment result is G ₃ , the treated air amount is 120 l / m.
The ozone deodorizing function was set to operate so as to be in. As a result, by using this air quality control system, it is possible to accurately determine the air quality state mainly due to human odor and to control the operation of the air quality control device economically and advantageously according to the air quality state. It became clear that is possible.

As described above, by using the fuzzy inference, it is possible to judge the air quality state closer to human sense and finely control the air quality environment based on it, which is impossible with the conventional method. It will be.

In the above embodiment, SnO ₂ type oxide semiconductor sulfide sensor and SnO ₂ are used as the air quality detecting means.
Although the case where the system-based oxide semiconductor ammonia sensor is used has been described, the present invention is not limited to this, and various gas sensors having different materials and principles can be used. It is also possible to use a sensor that selectively detects the gas by changing the kind of gas that serves as an index. In addition to the gas sensor, it is also possible to use an optical gas detecting means such as an optical gas detecting means depending on the purpose and scale. Furthermore, as the fuzzy inference method, a known method such as a direct method or an indirect method can be used. The control rules and membership functions can be changed as appropriate.

[0023]

As described above, by using the air quality control system according to the present invention, the constituent elements of the air quality such as a toilet can be accurately detected, and the detected air quality information and odor intensity information can be used. By executing fuzzy inference based on preset control rules, it is possible to judge the air quality condition at a level close to human senses, and it is possible to perform fine air quality control to maintain a comfortable air quality environment. ..

[Brief description of drawings]

FIG. 1 is a block diagram of an air quality control system according to an embodiment of the present invention.

FIG. 2 (a) is a diagram showing a standardized sulfide sensor output membership function in the system. FIG. 2 (b) is a diagram showing an ammonia sensor output membership function in the system. FIG. Diagram showing membership functions for air quality

[Figure 3] Inference flow chart

[Explanation of symbols]

 1 Air quality detection means 2 Odor intensity information 3 Fuzzy inference means 4 Air quality control device

Claims (3)

[Claims] 1. A sewage odor detecting means for mainly detecting an odor component constituting a sewage odor, a fuzzy inference means, and an air quality control device such as a ventilation device or an air cleaning device based on an inference result of the fuzzy inference means. The fuzzy inference means executes fuzzy inference based on the output from the urine odor detecting means and the odor intensity, which is the amount of sensation to the bad odor, and the air quality that is the dominant source of the bad odor. An air quality control system having a function of determining the state of. 2. The air quality control system according to claim 1, wherein a gas sensor for detecting a volatile sulfur compound and a gas sensor for detecting ammonia are used together as the human waste odor detecting means. 3. The air quality control system according to claim 1, wherein the fuzzy inference means has a function of correcting the temperature and humidity of the environment with respect to the output from the night soil odor detecting means.