WO2024107138A1 - Self-disinfecting ambient and air cleaner with air quality measurement feature and long-life multi-layer filter system - Google Patents

Abstract

The invention relates to an air and environment cleaner system that measures, evaluates, stores, reports indoor air quality parameters, and provides remote data communication, comprises electronic/mechanical filter group, electronic circuit, user control and firmware software and sensor reading/evaluation algorithms and methods to increase indoor air quality and ensure ambient cleaning with ozone gas, and has indoor air quality index (IAQI, Indoor Air Quality Index) calculation system.

Description

SELF-DISINFECTING AMBIENT AND AIR CLEANER WITH AIR QUALITY MEASUREMENT FEATURE AND LONG-LIFE MULTI-LAYER FILTER SYSTEM

TECHNICAL FIELD

The invention relates to an air and environment cleaner system that measures, evaluates, stores, reports indoor air quality parameters, and provides remote data communication, comprises electronic/mechanical filter group, electronic circuit, user control and firmware software and sensor reading/evaluation algorithms and methods to increase indoor air quality and ensure ambient cleaning with ozone gas, and has indoor air quality index ( I AQI , Indoor Air Quality Index) calculation system.

PRIOR ART

Air pollution continues to be an environmental problem for the whole world. According to the World Health Organization (WHO), around four million people worldwide die every year due to air pollution. The Air Quality Index (AQI) is used to measure air quality. If the air quality values recommended by WHO are reached, a decrease of approximately 15% is expected in all deaths. This means protecting the lives of more than 600 thousand people by an approximate calculation. In a determination made by WHO, it is stated that if the concentration of PM (Particulate Matter) increases by 10 pg/m³ per year, it may cause a 6% increase in the total mortality rate; and that if an increase of 10 pg/m³ is in question for a short time (few days), it may cause cough, lower respiratory tract symptoms, an increase in the number of hospital admissions and death. In recent studies, it has been one of the most emphasized issues due to the negative health effects caused by PM2.5 and even PM1 and PM0.1 instead of PM10 (particles of 10 pm). It has been revealed that air pollution is an important environmental problem that threatens public health, as well as an important factor in the increase in the number of cases and deaths due to COVID-19. It has been determined that every 10 pg/m³ NO2 and PM2.5 increase increases the number of cases by 7% and 2%, and every 1 pg/m³ PM2.5 increase increases the death rates by up to 15%.

After the WHO's declaration of the pandemic, many studies were conducted on transmission routes and precautions. Scientists, who claimed that the virus could be transmitted by air and could remain in the air even if the source person left the environment, and their suggestions were not taken into account by WHO for a long time. The manifesto for WHO, written by 239 scientists from 32 countries in July 2020, is titled "It's Time to Talk About the Air Transmission of COVID-19!" . The text briefly reads: “There is significant potential for infection risk if virus-laden microdroplets are inhaled over short and medium distances. We advocate the need for preventive measures to mitigate airborne transmission. We are concerned that the lack of recognition of the risk of airborne transmission of COVID-19 and the lack of clear recommendations on airborne virus control measures will have significant consequences. People may feel protected when they follow current recommendations. In reality, however, additional airborne interventions are needed to further reduce the risk of infection. This issue will become even more important as people return to their workplaces and students return to schools and universities in countries. Provide adequate and effective ventilation, especially in public buildings, workplace environments, schools, hospitals and nursing homes to reduce the risk of airborne transmission; bring clean outdoor air, minimize circulating air.”

The fact that the effect of epicdemic still continued to increase after the first year of the it is over, its and the contamination examples showing that the virus can be acquired "depending on the duration of stay in closed, crowded areas" has led scientists to agree on the importance of ambient ventilation. WHO published a guide titled “Roadmap to improve and provide indoor ventilation in the context of COVID- 19” upon these calls. Based on the finding that “providing adequate ventilation can reduce the risk of COVID-19 infection”, the guideline stated that ventilation is not just about “opening the windows” but “if the outdoor air contains a high concentration of particulate matter, the outside air may need to be treated (filtered) before it is distributed inside the building”.

People spend most of their time indoors. In time, air pollution occurs in indoor areas such as homes, workplaces, shopping malls, cafes, and restaurants. This pollution can also sometimes become much more dangerous than outside environments. For this reason, indoor air quality should be paid attention to indoors and it should be checked regularly whether the inhaled air is healthy.

Carbon dioxide gas is a colourless and odourless non-toxic gas with a mass of about 1.5 times the air we breathe. However, in environments where it is present in high amounts, it can have a suffocating effect by reducing the oxygen level of the air. In humid environments, it may react with water to form a sharp odour.

The amount of CO2 released into the atmosphere due to oil, natural gas and coal used to meet the energy needs of human beings continues to increase day by day. For this reason, the amount of carbon dioxide in our environments is of great importance.

Since the amount of CO2 in our environment affects the indoor air quality, it reduces the indoor air quality. This low indoor air quality causes many negative situations. The leading results of these negative situations are short-term, but often redness of the throat, watery eyes, headaches, weakness, persistent feeling of tiredness, and severe airborne diseases. Apart from diseases, polluted air causes loss of learning and production and high health expenditures.

Indoor air quality is a value that describes how good or bad the air we breathe in indoor environments is. According to the researches, the value of indoor air quality directly affects the happiness and determination of the employees in the workplaces and the learning desires of the students. For this reason, more and more private companies and public institutions are doing the necessary work to provide indoor air quality in their buildings. According to the researches, poor indoor air quality causes the employees to be adversely affected in 30% of office environments.

All objects and people inside buildings emit a volatile organic (VCO). Smoke circulating in the ventilation systems in the buildings, drugs released or sprayed to the environment for pest cleaning, sealed glasses, cleaning materials, tools such as photocopiers and printers in offices, sinks are the reasons that most affect the quality of the air in the environment. The following measurements are made in indoor air quality measurement;

• If there is a HVAC system, CO2 measurement, Humidity measurement

• If there is filtration, PM 2.5 measurement, Humidity measurement

• If disinfection is used, PM 2.5 measurement, O3 measurement, NO2 measurement, Formaldehyde measurement

• If Portable Air Purifier is used, Fresh air delivery rate, PM 2.5 measurement, O3 measurement, NO2 measurement, Formaldehyde measurement

Building related syndrome: Building-related illness (BRIs) are factors related to the indoor environment of the building. These can only be resolved by eliminating their source. They are not factors that can be solved by ventilation. For example; Legionnaires' disease. We can solve this disease by limiting the living environment of the bacteria. Bacteria and fungi created by the humidity in the building can be given as examples.

Sick building syndrome: They differ in building-related illness because their disturbances are not easily recognized and cannot be easily eliminated. SBS typically presents with acute disturbances, such as fatigue, headache, blood withdrawal, and eye tension. These disturbances may pass when the building is abandoned. It is not possible to diagnose these disorders. The causative agents of SBS are very variable. Overheating, noise, poor lighting can cause them. There are also psychological factors that cause these symptoms. For example, overcrowding, architectural and decoration-related disturbances. When designing a space, architects have to do everything from the number of people to the lighting, in accordance with the standards. Table 1 gives information about the disorders related to the syndromes.

Table 1 . Air quality symptoms

We can examine the factors affecting indoor air quality in four main categories.

1. Biological Factors: Bacteria, viruses, fungi, molds, pollen, animal hair are among the most common biological pollutants that adversely affect air quality. 2. Chemical Factors: cleaning agents, solvents, fuels, adhesives, combustion byproducts, floor and wall covering materials are among the most common chemical contaminants.

3. Particles and Aerosols: They are solid and liquid substances that are light enough to hang in the air. Particles can be classified into three categories: Coarse, fine, very fine. The finer the particle size, the greater the risk of adverse health effects. The formation of particles can be caused by dust generating activities, printing and photocopying processes, manufacturing processes, smoking, combustion processes and some chemical reactions.

4. Physical Factors: temperature, humidity, air circulation and air flow rate can be counted among the most basic physical factors. While air quality was seen as a major health problem for people before the pandemic, today it has become a bigger health problem with the pandemic. While factors such as outdoor air quality were emphasized in the past, today it is emphasized that indoor air quality is as important as outdoor air quality. There are many established measurement stations in the world for the measurement of outdoor air quality established for this purpose.

In addition, global warming can bring atmospheric disasters, and according to a common view, and it is said that with the melting of glaciers, viruses, bacteria and microbes that today's people, who have been in the ice for a long time, can mix with water/air, and this can cause different pandemics.

In a study conducted in the USA in 2005, NASA researchers managed to revive a bacterium found in a frozen pond in Alaska for 32,000 years. It has been observed that this bacterium, which belongs to the period when furry mammoths lived, continued its life as if nothing had happened after the ice was thawed. Two years later, an 8-million-year-old bacterium, frozen under glaciers in Antarctica, was brought back to life. In the same study, bacteria found in 100 thousand-year-old ice were also animated. In a study conducted in Siberia in 2014, two 30 thousand-year- old viruses (Pithovirus sibericum and Mollivirus sibericum belonging to the giant viruses class) found at a depth of 30 meters were animated. Prof Jean-Michel Claverie, who is involved in the project and works at the National Scientific Research Centre of the University of Aix-Marseille in France said “This is the first time we have seen that a virus found after such a long time is still contagious” on the subject. Looking at these and similar developments, it is understood that encountering new endemics/pandemics is a near possibility. Many research and studies have been conducted on the relationship between air pollution and endemic/pandemic:

1. It has been demonstrated that patients with severe Covid-19 infections requiring intensive care are twice as likely to have pre-existing diseases, particularly heart disease, stroke, chronic lung diseases and diabetes, due to air pollution.

2. 120 cities in China were analysed and after controlling for all factors, it was revealed that there is a significant relationship between air pollution and COVID-19 infection.

3. In the five years before the pandemic, places with higher levels of nitrogen dioxide pollution (10 micrograms per cubic meter) had 22% more cases of Covid-19, while high levels of small particulate pollution resulted in a 15% increase in infection.

4. It has been demonstrated that particulate matter pollution is positively associated with increased cases of COVID-19.

5. Air pollution has been found to be positively associated with higher mortality rates from COVID-19.

6. It has been demonstrated that NO2 concentration is positively correlated with the transmission ability of COVID-19.

7. The UK Office for National Statistics has found that long-term exposure to fine particulate matter can increase the risk of contracting and dying from COVID- 19 by up to 7%.

8. In the Netherlands, a settlement with 1 pg/m3 higher concentration of PM2.5 can have 9.4 times more cases of COVID-19, 3 times more hospital admissions and 2.3 times more deaths.

9. It found that 78% of coronavirus deaths in 66 administrative regions in Italy, Spain, France and Germany occurred in just five regions, with these being the most polluted.

10. High mortality rates in northern Italy have been found to be associated with the highest levels of air pollution.

11. lt has been found that air pollution levels in the UK are associated with COVID-19 cases and deaths.

12. While investigating whether the coronavirus could be carried over longer distances and increase the number of people infected, coronavirus was detected on air pollution particles.

13. lt has been found that higher levels of particulate pollution may explain why there are higher infection rates in parts of northern Italy before the quarantine was implemented.

14. The rapid spread of COVID-19 in northern Italy has been found to be strongly associated with air pollution.

15. lt has been found that increased exposure to hazardous air pollutants (HAPs) is associated with a 9% increase in COVID-19 mortality (death rate).

16. An association was found between an 11% increase in mortality from COVID- 19 infection and exposure to air pollution over many years for every 1 microgram/cubic meter increase in air pollution. 17. People living in communities with longer exposure to exhaust gas emissions have been shown to have higher mortality rates from COVID-19, and it was revealed that, when there is a 4.6 ppb increase in NO2 exposure (mainly from city traffic), case fatality rates increased by 1 1 % after controlling for other factors that could increase the risk of dying from the disease.

18. Annual exposure to nitrogen dioxide (a pollutant from exhaust pipe emissions) in neighbourhoods of the City of Los Angeles has been shown to be associated with COVID-19 incidence (the probability of healthy people at risk of getting a certain disease in a certain period of time) and mortality (death rate), with an 8.7 ppb increase in NO2 resulting in a 35-60% increase in mortality.

19. lt has been revealed that there were approximately 20,000 (20,000) extra coronavirus infections and 750 deaths associated with exposure to high PM2.5 levels from the 2020 wildfires in the western US states.

20. lt has been found that someone living in a highly air-polluted area of China is twice as likely to die from SARS than someone living in an area with clean air.

21 . During the SARS epidemic in 2003, increases in particulate matter air pollution were found to increase the risk of dying from the disease.

22. Researchers have suggested that many viruses, including adenovirus and influenza virus, can be carried on air particles. Particulate matter has been found to most likely contribute to the spread of the 2015 avian flu.

23. lt has been demonstrated that air pollution can accelerate the spread of respiratory infections.

As can be understood from the studies mentioned above, there is an important relationship between air pollution and diseases. This relationship is in the form of the formation of chronic diseases, the increase in deaths due to chronic diseases, and it is understood that air pollution increases the rates of admission to intensive care and death due to the pandemic, especially when the Covid-19 pandemic we live today is taken into account. Indoor air quality also has a significant impact on the spread of Covid-19. In order to minimize the spread, it is necessary to have a healthy and high- quality air indoors.

Air purifiers are helpful and useful products in many ways. According to the intended use, the results can be observed and tested in the long term. It is a life-saving product, especially for people who are sensitive to weather. The most important point among the air cleaner benefits is the cleaning it offers for those who have respiratory problems and those with allergic diseases. By means of the constantly cleaned air, harmful substances such as dust, dirt, smoke and microbes in the environment are cleaned, providing a more efficient respiration opportunity. It is known that especially antiviral air cleaner products not only clean the air, but also reduce infectious diseases and allergy crises. Another benefit associated with the use of these devices is important for environments with children and pets. Children's immune systems are threatened by harmful substances. The air in the environment is the biggest factor that allows these harmful substances to pass. Anti-bacterial air cleaner devices used in environments where children live are very important to prevent problems that may occur with the air. It is also useful to use these devices for cleaning harmful substances such as feathers, hair and skin that can mix with the air in environments where pets are present.

The benefits of air cleaners can be listed as follows.

1. Destroys viruses and bacteria: The safest way to protect against various epidemics, germs, viruses and bacteria, especially airborne, is to use indoor air cleaners.

2. Keeps away from dust particles: Dust exposure in indoor living spaces puts human health at risk. It can cause various chronic diseases (asthma and similar respiratory diseases). Household items, beds, under the beds, carpets, furniture, in short, all of the items in the house collect dust and those dusts threaten our health by flying in the air. Dust particles not only adversely affect health, but also damage valuables. Air cleaners give very successful results in solving problems related to dust indoors.

3. Mold and dampness problem: In extremely humid environments, mold, dampness and fungi occur with humidity. Molds and fungi, which emerge under the influence of a humid and humid environment, accumulate in various parts of the house such as walls and ceilings. Elimination of excess humidity plays an important role in solving these problems.

4. Eliminates irritating odours: It is an important problem to deal with irritating odours in many indoor places such as home, cafe, workplace, school, hospital. Smells such as cigarettes, cigars, hookahs, food, dampness, etc. occur in places that are not well ventilated. These odours permeate your hair, clothes, furniture and create discomfort. Ambient odours used to suppress irritating odours, on the other hand, are both costly and not a definitive solution, and may contain chemicals that may threaten human health. Air purifiers purify the environment from unpleasant odours harmlessly.

5. Cleans the smoke in the environment: Smoke accumulated indoors also has a negative effect on human health and quality of life. Many smoke particles such as cigarette smoke, cigar smoke, hookah smoke, smoke from cooking, etc. are easily cleaned from the environment by means of the air cleaners.

6. It purifies harmful gases: Due to the increasing air pollution day by day and various indoor factors, we are exposed to some harmful gases in our homes or workplaces. Harmful gases can occur due to many reasons such as paintwhitewash, cleaning materials, new furniture, devices such as photocopiers, and their harmful effects on health continue for a long time. Volatile organic compounds (VOCs) are harmful compounds for human health and are present in many products that we are frequently exposed to in our daily life, from cleaning agents to furniture adhesives, from pesticides to cosmetics, and are considered to be carcinogenic gases. Using air cleaners is an ideal method for removing such harmful gases from the environment.

7. Provides a better mood: When the quality of the breathed air is poor, it also negatively affects the mood. According to research, indoor air is 5 times more polluted than outside air, both at home and at work. Especially people living in city life spend about 22 hours a day indoors. Home, school, gym, workplace, cinema, theatre, shopping mall, metro or bus, hospital, bank, in short, all indoor spaces are faced with the problem of low air quality and this problem is growing day by day. Not getting enough oxygen and not being able to reach fresh and clean air cause problems such as chronic fatigue and depressive mood in people. Fresh and clean air is good for human psychology, calms the nerves, makes you feel calmer and better. In this sense, air purifiers play an important role in improving indoor air quality. Negative ions produced by air purifiers clean the air and relax the nervous system.

8. A healthier body: Air is the most basic need for the continuation of human life. A person can live only 2 to 3 minutes without breathing. While air quality is a very critical problem for people with asthma and respiratory diseases, even in the short term, it is a very important risk for all people in the medium and long term. Polluted air does not kill people all of a sudden, but over time, it damages many organs and seriously reduces the quality of life. Today, known diseases, which are plaza diseases, have originated and the main reason for this is the low air quality in the buildings. Asthma, chronic headache, nasal congestion, lung diseases, allergic pneumonia, cancer, etc. are the leading diseases caused by poor air quality in buildings and indoor spaces. Air purifiers seem to be the only way to breathe comfortably, especially for asthma patients and those with respiratory conditions. For example, the elderly and children are more prone to allergies because their immune systems are weaker. Air purifiers provide fresh and clean air, making it easier for them to breathe. In addition, air purifiers reduce the risk of indoor allergies and respiratory diseases, preventing them from infecting you. The air purifier allows your body to repair itself during the night by providing a comfortable sleep. By means of the ability of air cleaners to clean even very small particles, it is possible to prevent fungal infections. Allergens not only cause respiratory ailments but also damage the skin. In clean and fresh air environments free from allergens, the problem of skin irritation is also reduced. A good air purifier also helps regulate the moisture balance of the skin.

9. Pet care: Although pets are indispensable for many families, the residues spilled from their hair and skin can be the cause of allergies. In addition, odours originating from pets can reach disturbing proportions. Both hair-skin rash and odour problems are deterrents in pet care for many families. Air cleaning devices catch all the fluff and skin debris flying in the air, purify the interior from these wastes and trap bad odours by means of the specially designed carbon filter.

10. Freedom of interior decoration: In addition to people with diseases such as asthma and respiratory diseases, some people who act cautiously to protect themselves from such ailments avoid things that may cause allergic effects such as carpets, plants, flowers in decoration, despite their desires. The air cleaner easily catches even the smallest dust particles in the air by means of its specially designed filters and provides a clean breath. By means of the air cleaners, cleaner air can be breathed in homes, offices, banks, hospitals, schools, cafes and restaurants, hotels, gyms, in short, in all living spaces. Both the best and the simplest air cleaners have a similar working principle. It absorbs the air in the environment and cleans it with the help of ionizer or hepa filter. Then the cleaned air is released back to the environment. Doing this process continuously ensures that the air in the environment is always clean. These products, which offer a great difference even in short-term use, prevent many discomforts that may occur in the long term. Likewise, it prevents the progression of existing disorders and even helps in the treatment.

The air cleaners available in the state of the art are products that can clean the air in a certain cubic meter area, have almost the same functions, and the number of filters varies between three and five. In the state of the art, first of all, the contaminated air is taken into the air channels located in the lower compartment of the device. The air, which has been cleaned with various filtering applications inside, is given out from the upper compartment of the device. Some devices have weather monitoring sensors based on optical sensors. These sensors enable the device to operate in automatic mode by detecting effects such as cigarette smoke inside without making precise measurements. If there is a contaminant detected by the device, they enter a more powerful cleaning mode by increasing the engine speed of the device. The main consideration in this type of device is usually the sound levels. They provide a comfortable use without disturbing the comfort, without disturbing the environment with sound, especially with the sound of operation during sleep. However, this use reduces the amount of air transferred per hour. The lifetime of the filters they use is between three and six months. Depending on the place used, the filters must be changed during this process. Although the prices of the devices are suitable for home use, the next filter change requires almost half the cost of the devices to change the filter. Some of these devices, which only have the ability to clean the air, also have a mobile phone application for remote control.

In addition to increasing the air quality during the pandemic process, it has become necessary to deal with other problems as well. Lydia Bourouiba from the Massachusetts Institute of Technology (MIT) has revealed that the gas clouds that come out when exhaling can spread up to 7-8 meters, according to the results of her research on issues related to breath output such as coughing and sneezing at the University's Fluid Dynamics of Disease Transmission Laboratory. (Figure 10) The importance of indoor ventilation in the spread of diseases during the pandemic process has once again come to the fore. Even if there is a low-capacity ventilation in the building, it is still not sufficient. For this reason, it is necessary to strengthen this ventilation system and, in addition, to help ventilation by opening doors and windows. If your internal ventilation system is strong, however, the risk of disease transmission can be minimized by ventilation through doors and windows. However, it is not possible to do this all the time and everywhere. In some places, there may be closed- type windows, while in some work areas there may be no windows at all. Or it may not be possible to ventilate with a door window due to heating problems, especially in winter. For this reason, air cleaning devices are absolutely needed to regulate indoor air quality (Figure 11 ).

There is a very important problem caused by the pandemic in classical air cleaning systems. Normally, in the classical design, the aim is to catch the dust and other pollutants that have settled on the ground and send the air back to the environment as cleaned. This method is likely to cause a very important problem in the pandemic (Figure 12).

Although the existing designs try to offer a good and high-quality air, different deficiencies and problems occur due to their technical designs. Due to the problems described above and the inadequacy of the solutions provided, innovation has been made necessary for the air and environment cleaning system, which is the subject of our invention.

With the invention, it is aimed to design and produce a multi-layer air cleaner system with domestic resources and domestic technology, to measure indoor air quality, to clean the surfaces and air of the indoor environment, and to transform it into an industrial product that can be used for indoor spaces, considering current pandemic conditions and future pandemics.

Brief Description of the Invention

The present invention relates to an air and ambient cleaning system that meets the above-mentioned requirements, eliminates all disadvantages, and brings some additional advantages.

The systems in the state of the art and the problems experienced, as well as the solutions and the structure of the invention to the problems experienced in the state of the art are explained below. Physical structure: Some air purifiers are wall mounted. Since these systems are fixed and irreplaceable, they do not allow use in different places. But the most important problem is that it gives the air it takes from above back from above. For this reason, WHO has said that air conditioners should not be used indoors during the pandemic process. In fact, it was reported in the press that a female customer sitting in front of the air conditioner in a cafe in South Korea for two hours infected at least fifty-six (56) customers with Covid-19. For this reason, the wall type method is not adopted in the system which is the subject of the invention. Number and types of filters: Many brands produce devices equipped with filter systems comprising three to five layers. In addition, the filter preference depends on the customer's choice. For example, different filters have been produced for people with allergies, for gases such as formaldehyde, and for antibacterial cleaning. But in some cases the needs may cover all of them. For this reason, a multi-layer filter group design that will act against all antigens, dust and similar pollutants, gases and especially living organisms, bacteria and viruses has been used in the system design without discrimination. In addition, odour removal filters have been added to the system. Filter lifetimes: Most appliances need their filters changed three to six months. Costly filters also prevent users from purchasing the device. The cost of use can often exceed the cost of purchasing the device. For this reason, long-life filter groups in the design and the necessary methods to increase the life of these filter groups have been developed. Air quality measurement Optical IR (infra-red) system sensors are used in existing systems to measure the state of air quality. This cheap and easy system works on the basis of detecting the particles and smoke in the air passing through the sensor by the sensor. These sensors cannot measure particle sizes or numbers. It is used to adjust the speed of the engine in automatic mode, giving only an approximate value. Gases in the air (such as O2, CO2, O3) are not measured. In the design, all necessary measurements are made in order to calculate the full air quality index. PM1.0, PM2.5, PM10, O2, O3, CO2, CO, NOx, temperature, humidity measurements are carried out by the air quality monitoring automation with the patent application number 2022/016197 dated 25/10/2022. Ambient cleaning feature: Along with the design air cleaning feature, it also has an Ozone gas generator for ambient cleaning. Existing air cleaners do not have this feature. Ozone gas cleaning products are available in the market as a separate device.

6. Air purification with ozone gas: There are devices on the market that claim to clean the air while there is a living thing inside, by releasing 0.5 mg/Lt ozone. The use of ozone gas at this rate when there are living beings inside carries a very high risk for health. It should be expected that long-term use will cause a wide variety of lung problems. According to the information received from the user using such a device, all the potted flowers in the room started to die after fifteen days of use. A burning sensation occurred in the upper parts of the diaphragm in the workers. For this reason, in the developed system, the ozone gas mode and the ambient cleaning feature of the device are activated with remote access. It is run when there is no living being inside. Entering inside is not allowed while there is ozone inside. In this operating mode, an audible warning is given for users.

7. Pre-filtering: Aerosol, droplets and humidity in the air have a very important role in the transport of harmful factors. In the contamination by droplet, the droplets in the air must be cleaned first. For this reason, a four-layer pre-filtration method has been developed for filtering factors such as droplets, aerosols and humidity with a pre-filtration. In other devices, only a single-layer filter system is used as a prefilter.

8. Electrostatic filtering: The design includes a wide bladed electrostatic filter. This filter first ionizes the air passing through it with a high voltage. As the particles in the negatively ionized air pass between the opposite polarity blades, they are repelled by the positively charged blades and attracted by the blades with the other polarity potential. Thus, pre-secondary filtering is done. Since the pollutants in the air passing through the filter stay on the filter blades, these particles cannot reach the hepa and other filters in the inner region. Thus, by means of the washable electrostatic filter, the life of the other filters increases, and long-term use is ensured. Most air cleaners do not have an electrostatic filter.

9. Ventilation Direction: Unlike the existing designs, the device that is the subject of the invention is built on the basis of taking the contaminated air with polluting factors from the top and giving the clean air to the environment from the bottom of the device (Figure 13).

In the system that is the subject of the invention, the air coming out of the device does not spread the pollutants all over the room, as in the classical systems, but works on the principle of cleaning the air between people by absorbing it by forming an air curtain. For this reason, for example, for a doctor who places this device between himself and his patient in an outpatient clinic, an invisible air wall will be formed between him and the patient, and the contaminated breath of the patient will be cleaned by being drawn directly into the air cleaner device without scattering to various parts of the room.

10. Filter lifetimes: The replacement times of the three- or five-layer filters in existing devices are very short. It should be replaced between three to six months, depending on the operating environment. Filters with high financial value are expected to be long-lasting by users. The electrostatic filter in the system design is a washable filter. The titanium dioxide filter has a lifespan of approximately five years. Other than this, other filters cannot be washed or wiped. However, the service life of other filters (hepa, active carbon) is longer than other device filters due to the air coming through pre-cleaning. The pre-filter that needs to be changed, on the other hand, does not burden the users' budget as it is already an economical filter. In addition, it is possible to remove the fibre filter layer in this filter and wash it more than once and reuse it. For this reason, although the life of the filters in the state of the art is short, the lifetime of the filters in the system that is the subject of the invention is longer.

11. Ambient cleaning: Air cleaning devices do not have an ambient cleaning feature. These devices are only designed to clean suspended materials, organic particles and some harmful gases and bacteria in the air. Contrary to state of the art, an ozone gas generator is included in the invention. If ozone gas is taken above a certain level for health, it is a harmful gas and should not be inhaled directly. But ozone gas is also one of the gases with the highest oxidizing capacity, oxidizing the cell membranes of harmful bacteria and cells, leading to the death of harmful microbes, bacteria and viruses. It completely neutralizes viruses by oxidizing the envelope of viruses. For this reason, when the ozone gas generator in the device is operated for an appropriate time (depending on the room capacity) when there is no living being inside, and the O2 molecule in the room is converted into O3 by electronic method. It creates an oxidative interference on the cell walls of living cells (such as bacteria, viruses) in contact with ozone. This causes the entire cell wall to weaken and disperse over time. This process takes about five to ten seconds. Afterwards, O3 molecules decompose into O2 again. In this process, every surface that ozone touches and droplets in the air are disinfected.

12. Evaporation: High efficiency hepa filters can capture droplet-moving viruses. HEPA filters act as a barrier in the capture and retention of viruses carried by large droplets. However, when the system is turned off and the temperature conditions are suitable, the droplets kept on the filter evaporate again and the air mixes and viruses and bacteria are released. Studies have shown that viruses can survive in the air for a few hours, on surfaces for two or three days, and on glossy surfaces for longer. The active pathogens in these evaporating droplets from the ventilation systems will be thrown out through the exhaust, and the possibility of contact with these pathogens will increase. However, the situation is worse for indoor cleaners. Evaporating droplets can re-enter the room air and infect the air. For this reason, in the invention, it is aimed to kill the pathogens accumulated on the filters by passing the ozone gas through the filters after the disinfection of the environment is ensured by using the ozone gas generator. In this way, both the ambient and the filters are disinfected.

The structural and characteristic properties and all advantages of the invention will be more clearly understood with the figures given below and the detailed description written with reference to these figures and therefore, the assessment should also be made by taking these figures and the detailed description into account.

List of Figures

Figure 1 : is the front view of the cabin.

Figure 2: is the back view of the cabin

Figure 3: is the back interior view of the cabin

Figure 4: shows the filter layout.

Figure 5: shows the layout of electronic elements.

Figure 6: is the representative view of the electrostatic filter cabin (32).

Figure 7: is the representative view of the electrostatic filter section.

Figure 8: is the outer view of the sensor unit.

Figure 9: is the interior view of the sensor unit.

Figure 10: is a representative drawing of the breathing gas cloud propagation. Figure 11 : is the representative drawing showing the spread of infected secretions in a closed and low-ventilated environment.

Figure 12: (State of the art) is the representative drawing showing the spreading effect of infected secretions in standard type air cleaners.

Figure 13: is the representative drawing showing the effect of the system that is the subject of the invention and the newly designed air cleaner to prevent the spread of infected secretions.

Figure 14: is the representative view of the pre-filter (19).

Figure 15: is the representative view of the secondary filter (21 ).

Figure 16: is the block diagram of the air cleaner unit electronic circuits (A).

Figure 17: is the Physical Node (B) diagram of the transducer for a sensor.

Figure 18: is the diagram showing the master control unit physical converter of TTL communication bus to RS485.

Figure 19: is the diagram showing RS485 physical bus to Slave TTL communication bus converter.

Figure 20: is the motor control unit (A.1 ) diagram.

Figure 21 : is a microprocessor development board block diagram.

Figure 22: is the particle measurement unit (A.8) diagram.

Figure 23: is the ozone measurement unit (A.9.1 ) diagram.

Figure 24: is the pressure measurement unit (A.9.2) diagram.

Figure 25: is the measurement unit (A.9.3) diagram for analogue sensors.

Figure 26: is the measurement unit (A.9.4) diagram for digital sensors.

Figure 27: is the diagram of linear feed regulator (A.4) with notch filter (A.4.3).

Figure 28: is PID control algorithm block diagram.

Figure 29: is the representative diagram showing the steps of the PID Firmware encoding algorithm.

Reference Numerals of Elements

1. Front cover

2. Top cover

3. Back cover

4. Right side cover

5. Bottom cover

6. Left side cover

7. Supply cable input 8. Protection fuse

9. Embedded handle

10-Touch panel and control circuit

H .Sensor/Warning unit

12. Fresh air outlet duct

13. Polluted air inlet duct

14. Carrier wheels

15. Motor and electronic unit carrier table

16.Silencer duct

17. Spring contacts

18. Filter carrier channels

19. Prefilter

19.1 . Meltblown fabric filter

19.2. Fibre filter

19.3. Metal filter

20. Electrostatic filter

21. Secondary filter

21 .1 . Deodorant filter

21 .2. Anti-formaldehyde filter

21 .3. Large granular activated carbon filter

21 .4. Hepa filter

21 .5. Antimicrobial filter

22. Activated carbon filter

23.Titanium dioxide filter

24. UVC and UVB filters

25. Switch mode power supply (SMPS)

26. Brushless ventilation motor (BLDC)

27. Ozone generator

28. First ballast

29. Second ballast

30. Control electronics circuit/unit

31. High voltage power supply

32. Electrostatic filter cabin

33. High voltage contact plate 34. Ionizing voltage contact plate

35. Ionizer plate

36. Insulators

37. Electrostatic plates

38.Sensor/Warning circuits unit

39. Particle measurement air inlet

40. Particle measurement air outlet

41. Ozone detector

42. Warning sound generator

43. Particle Detection Sensor

44.Communication unit

45. Sound circuit

46. Ozone sensor circuit

47. On / off switch

A. Air cleaning unit electronic circuits block diagram.

A.1. Motor control module

A.1.1. Microcontroller

A.1.2. Isolated PID Input Unit

A.1.2.1. Isolated tachometer

A.1.2.2. Isolated error control

A.1.3. Motor drive unit 0-1 OV generator

A.1.1. Motor control software

A.1.2. PWM

A.1.3. Rectifier

A.1.4. Rectifier Buffer

A.1.5. Low pass rack type non-inverting amplifier

A.1.6. BLDS motor PID control

A.1.7. Motor alarm

A.1.8. Main CPU

A.1.9. 12C control connection with main CPU

A.2. Real time clock (RTC) and battery

A.3. Fan

A.4. Linear feed regulator unit (Input: 24V/15A, Output: 5V/3A) A.4.1.24V DC

A.4.2. Step Down Switch mode regulator

A.4.3. Notch filter

A.4.4. 5V DC output

A.5. Motor control module

A.5.1. Control software

A.5.2. USB

A.5.3. Wi-Fi, TCP/IP

A.5.4. Operating system or firmware

A.5.5. Microprocessor or microcontroller

A.6. Coloured touchscreen

A.7. Audio alarm system

A.8. Air quality measurement module

A.8.1. Reset

A.8.2. Set

A.8.3. Particle sensor

A.9. Sensors

A.9.1. Ozone measurement unit

A.9.1.1. Ozone sensor

A.9.2. Pressure measurement unit

A.9.2.1. Microcontroller (I2C sensor communication) A.9.2.2. Pressure Sensor

A.9.3. Measurement unit for analogue sensors A.9.3.1. Microcontroller (ADC) A.9.3.2.Analogue temperature sensor

A.9.4. Measurement unit for digital sensors A.9.4.1. Microcontroller (One wire/l2C) A.9.4.2.T emperature/Humidity sensor

A.10. Automation control module

A.11. Ozone module

A.12. HV module

A.13. UVC module

B. Physical Node of the transducer for a sensor.

B.1. Communication port (TX/RX) B.2. Communication buffer

B.3. Transceiver IC

B.4. ESD/EFT shielding

B.5. Balancing, terminating

B.6. Automatic answer control

B.7. Connector (Physical data transmission (A/B), supply (V+/Gnd))

C. Main control unit

C.1. GPIO connector

C.2. Antenna

C.3. Wi-Fi IC

C.4. SPI/SDIO

C.5. UART

C.6. Micro SD

C.7. SD Bus

C.8. DSI DISP1

C.9. TFT Display

C.10. Power unit and supply input

C.11. HDMI

C.12. HDMI CEC and I2C bus

C.13. Camera

C.14. CSI CAM1 communication

C.15. Audio output

C.16. TV DAC

C.17. Filters

C.18. USB2 hub and ethernet IC

C.19. USB

C.20. Ethernet

C.21. 4xUSB

C.22. 1 GB DDR2 SRAM

D. 3.3V linear regulator

E. Voltage level converter DETAILED DISCLOSURE OF THE INVENTION

An air quality measurement, air and ambient cleaning system that measures, evaluates, stores and reports indoor air quality parameters, and provides remote data communication, comprises different multi-layer filter systems to increase indoor air quality and electronic and mechanical filters necessary to ensure ambient cleaning with ozone gas, a control board with a main processor on which the operating system and/or software can be run to ensure automation, electronic hardware, electronic sensor hardware, firmware software of main control and sensor units and software of remote connection devices, which can be connected to this board with different communication physical ways, and can be connected to a single centre if desired, to make data flow to this centre, enables increasing the air quality by filtering the indoor air with multi-layer electronic/mechanical air filters, and also enables air and ambient cleaning with ozone gas, has sensor reading/evaluation methods and can calculate indoor air quality index (IAIR, Indoor Air Quality Index).

The air quality measurement, control automation, air and ambient cleaning system that is the subject of the invention comprises

• automation control module (A.10) that comprises main control module (A.5), motor control module (A.1 ), real time clock module (A.2), fan (A.3), linear supply regulator (Input: 24V/15A, Output: 5V/3A) (A.4) unit, coloured touchscreen (A.6), audio warning system (A.7), at least one sensor for air quality measurement, isolated UVC control module (A.13), isolated ozone control module (A.11), and isolated high voltage (HV) control module (A.12), and that connects these modules to the main control module (A.5),

• Pre-filter (19), electrostatic filter (20), secondary filter (21 ), active carbon filter (22), titanium dioxide filter (23), UVC and UVB filters (24) and ozone generator (27),

• Main control software (A.5.1 ), air quality measurement module (A.8) and software, automation control module software, motor control module (A.1 ) and software, sensors (A.9) and software of sensor modules and measurement algorithms, methods, and calculation methods.

RS485 physical data transmission technique with auto answer mode: Communication in digital electronics is done using different physical layers and different protocols. RS232, RS485, I2C, SPI, OneWire physical layers also use different communication protocol structures. Sometimes different protocols can be used on the same physical structure, such as ModBus, CanBus.

Current sensing sensors use any of these physical protocols. These physical layers have different advantages and disadvantages compared to one another. Mostly TTL serial, I2C, SPI, OneWire physical layer is used in sensor groups. TTL serial is a very cheap and very low complexity physical data bus that can operate at different speeds. While it works in the range of 0-5V in TTL structures, for example, in serial port structures (RS232) in computers, it works in the range of -13/+13V. The ideal distance is 90 cm cable length. One device can be connected to a line. It supports bidirectional communication. There are two buses (RX, TX). I2C is a data bus where 126 devices can be connected by addressing on the same line. It is mostly used for communications on the same board. The data path is short. It is operated in Master- Slave mode according to the addressing technique. The slave device answers the questions of the master device. There is a two-way communication. There are two bus lines (SCL, SDA). Communication is done via the clock signal bus and the data bus. The data path works bidirectionally. SPI communication has five bus lines, including the selection and clock frequency lines, along with two bus lines. The RS485 bus line uses two bus lines for half duplex and four bus lines for full duplex. A maximum of 1200 meters is accepted for the connecting line length. In addition, it has a structure that is least affected by external noise. This connection technique is used in many industrial areas and 126 devices can be connected on the same line.

RS-485 drives are designed to provide 60 mA. This 60 mA is determined by connecting 32 receivers to the circuit, including the termination resistor in the system and considering the worst conditions. RS-485 drivers have a thermal shut-off feature and protect the central processing unit by not allowing excessive current to be drawn from A and B terminals. The input resistance of RS-485 receivers is standardized as 12Kohm. The RS485 standard allows 32 transceiver pairs to be connected to the system at the same time. However, as exceptional cases, 64 or even 128 terminals can be connected to the system at very low speeds, but stable operation of the system cannot be guaranteed.

RS485 specifications:

Maximum number of drivers: 32

Maximum number of recipients: 32 Mode of operation: Half Duplex Network Structure: Multipoint connection

Maximum Working Distance: 1200 metres

Maximum speed with 12 m cable length: 35Mbps

Maximum speed with 1200 m cable length: 100kbps

Receiver input resistance: 12k ohm

Receiver input sensitivity: +/- 200mvolts

Receiver input range: -7... 12 volts

Maximum drive output voltage: -7... 12 volts

Minimum drive output voltage (with load connected): +/- 1 .5 volts

Physical structure constraints play an important role in system design. Although the automation control module (A.10) of the air quality measurement module (A.8) we are using has only one serial interface, since there are too many devices, sensors and main control modules (A.5) to be connected to this line, two physical interface converters as Master and Slave, with automatic response mode and suitable for RS485 physical infrastructure, are designed for a communication that will multiplex by opening the serial path to sharing and provide a secure communication opportunity.

Master and slave communication units are connected to each other with four cables including power supply (Figure 17).

Master converter method: The TTL RS232 signal from the microcontroller (A.1 .1 ) is first taken to the communication buffer (B.2). Incoming electrical signals are processed by the automatic response module. According to the situation obtained here, the input terminals of the receiver/transmitter integrated circuit (B.3) are converted to the polarity appropriate for the sending or receiving state. The signal converted from TLL physical signal structure to RS485 physical structure is sent to the protection module [9] against electrostatic discharge (ESD) and Electrical Fast Transients (EFT) (B.4). This part protects the circuit against high voltage that will occur at the ends due to effects such as electrostatic discharge or lightning as a result of hand contact. The balancing (Bias) (B.5) structure varies depending on the number of devices on the line. In RS485, the voltage difference between A and B terminals is required to be 200mV and above. Values below this are considered undefined. If all devices on the line are in RX mode, the line is idle. In this case, the output of the integrated circuit remains in a non-guaranteed state. For this reason, the balancing (Bias) (B.5) structure is used so that the lines are not idle. It is necessary to make a termination at the beginning and at the end of the node (Figure 18).

Slave converter method: Although the structure of the Slave Converter is the same as the Master structure, there is no bias and termination (B.5) in the slave structure. Electronic signals coming in physical RS485 form are first transmitted to the ESD/EFT protector (B.4). The signals from the protector are transmitted to the transmitter/receiver unit (B.3). Electronic signals coming out of the module acting as automatic answering and communication buffer (B.2) are transmitted to sensor units, onboard microcontroller (A.1.1 ) module, automation control module (A.10) and air quality measurement module (A.8) (Figure 19).

Engine control unit: Microcontroller with 16 Bit CPU (A.1.1 ) produces square wave with 10-bit resolution PWM (Pulse With Modulation) unit (A.1.5), 10 Khz speed, 3.3V amplitude and 100% adjustable with 0% Duty ratio. The generated square wave is transferred to the rectifier unit (A.1 .6). DC voltage with 0V amplitude at 0% Duty ratio and 1.65V amplitude at 100% Duty ratio is obtained linearly in the rectifier (A.1.6) unit. 50% Duty ratio ensures 0.825V to be produced. This voltage is transferred to the rectifier buffer (A.1.7) unit for the purpose of impedance adjustment. The voltage received from the rectifier buffer (A.1.7) is taken to the non-inverting amplifier unit (A.1.8) with a low-pass shelf filter. In this unit, a voltage with amplitude between 0- 10V is produced to the output in proportion to the input voltage.

The generated voltage is transferred to the BLDC (Brushless DC) brushless motor PID control (A.1.9) unit. The reference voltage applied to the input is applied to the PID controlled motor driver unit. The motor rotates at a speed proportional to this reference voltage. The tachometer information (A.1.2.1 ) about the rotation speed of the motor and the errors (A.1.2.2) that occur in the motor are transferred to the microcontroller (A.1.1 ) CPU via optical isolation units. This information is also transferred to the main processor (A.1 .11 ) over I2C (A.1 .12).

The rotational speed of the engine is measured by the signal from the tachometer tip. If there is an acceptable difference or equal between the given rotation speed and the measured rotation speed, it is understood that there is no problem in the system. Significant differences with the rotation speed and/or alarm from the error control end are pulled to level 1 and the main processor (CPU) (A.1 .11 ) is notified that there is an error in the system. In order to perform all these operations, a motor control software (A.1.4) running on the microcontroller (A.1.1 ) was prepared and written to the flash memory on the processor by connecting it with a specially designed connector on the controller (Figure 20).

Automation control module (A.10): After the evaluation of the data obtained from the measurement of air quality, isolated control modules are designed for the control of external devices within the automation unit in order to enable the relevant devices to be activated for the parameters that need to be corrected regarding the air quality and for the features that are required to be commissioned under user control.

Although these external modules are connected to the system with an isolated bus, the control supply voltage of the external control circuit is also provided through this system. In this way, it is ensured that the external noise is kept at a minimum level. In addition, warning threshold values have been determined to prevent malfunctioning due to noise.

The control line from the main microcontroller (CPU) (A.1.11 ) comes to the logical drive module. Here, optical isolation is provided and the controller data is sent to the module to be controlled via a cable. In the controller module, the control data passing through the isolation unit is transferred to the thyristor (SCR) driver. The thyristor modulates the 220V AC voltage applied to the driver input and transfers it to the output. By means of this modulation, the operating conditions of the device connected to its output are determined. If the control signal is in the form of Logic 0 I 1 , it works as on/off, if the control signal is in the form of Clock Pulse at a certain frequency, it gives a regulated output (for example, if there is a motor at its output, it controls the speed of the outdoor unit) (see, Figure 16).

Main Control Unit(C): A development board with a microprocessor (A.1.11 ) is used in the main control module (A.5). There are UART module (C.5), SD card module (C.6), USB and Network module (C.18), Ram (C.22), TFT display (C.9) modules on the development board. There is also a GPIO (General Purpose Input Output) connector (C.1) for connecting to external electronic boards.

Android IOT software is installed on the development board as the operating system via micro-SD card (C.6). A java-based Android control software has been prepared for the control software (A.5.1 ). In addition, the main software is also used to connect to external devices via Wi-Fi, TCP/IP (A.5.3). Connection to measurement and control modules is made via uart input (C.5) via RS485 digital data transmission module with automatic answering mode (Figure 18). The single serial communication (C.1 ) on the development board is thus multiplexed and the communication distance is increased, thus ensuring its connection with other modules (Figure 21 )

Sensor data reading techniques: Reading errors of a sensor can be caused by the supply source, the sensor itself, the circuit design, its connection with the circuit, the location of the sensor, corrosion and rusting effects that occur over time, as well as environmental effects. Examples of these are WiFi/RF sources, magnetic fields, thermal radiation, ionizing radiation, fluorescent lamps, motors. Errors are examined in two parts; random errors and systematic errors.

Random errors can be evaluated by statistical methods. These errors are mostly caused by the sensor, as well as the supply and current sources can cause these errors.

Systematic errors are caused by external influences, design and installation. Sensors in a magnetic field are more prone to this type of error. The heating of the sensor itself also creates an error. RF source noise can cause both random and systematic errors.

Since it is very important to prevent these errors and to get the correct values in measurement systems, processes that improve stability and sensitivity for the ADC unit have been developed and implemented through the software.

ADC (Analogue to Digital) circuits or integrated circuits produced for this are used to convert an analogue information into digital. Although ADCs have different techniques and speeds, there are two main points in the conversion business. It is the reference voltage and the number of bits that determines the converter resolution.

Basically, the following method is used when measuring with an ADC. How many mV can be read in one step is determined by dividing the reference voltage by the number of bits:

Reference Voltage : 5V

Resolution : 10 Bits

Step Voltage = 5000mV / 1024 = 4.8828125 mV

Or

Reference Voltage : 2.5V Resolution : 16 Bits

Step Voltage = 2500mV I 65535 = 0.03814755 mV

That is, the voltage that the ADC can measure is 4.8828125 mV and its multiples for 10 Bits, 0.03814755 mV and its multiples for 16 Bits. For example, if we assume that the voltage we want to measure is 1 .2V.

Number of steps = 1200mv 14.8828125 => 245.76

Since the ADC works as an integer, it will give us the value 245. When this is entered into the calculation, the Measured voltage = 245 * 4.8828125 = 1.196,2890625 mV. That is, the ADC will measure with an error of about 3.7 mV. To reduce this error, it is necessary to increase the resolution.

High resolution ADC significantly increases production costs. For this reason, for the 10-bit resolution ADC built into the microcontroller, a method has been applied to increase the software resolution, to minimize the reading errors and to eliminate the problems caused by the external environment noises. The resolution of the current ADC unit is 10 Bit.

1. Depending on the number of bits (n) that is planned to be increased in software, 2²(ⁿ’¹⁰> sample values are read from the ADC.

2. The readings are collected in an accumulator.

22(n-io)

3. The total value obtained is divided by 2ⁿ’¹⁰.

4. The number of steps of the ADC is calculated. DivisionRate= 2ⁿ -1

5. StepV = Vref I Division Rate step voltage is calculated by dividing the reference voltage of the ADC by the number of steps.

6. ADC voltage is calculated according to the amplified bit value.

Moving average algorithm is applied on the obtained ADC value. The moving average algorithm is mostly used in money markets. In addition to calculating where the prices will reach in the moving average money markets, it also gives information about the changes in the current direction with a delay. In short, the moving average gives the average of a data set over the selected period. In this way, fluctuations are kept to a minimum as the instantaneous peak values in the data set are smoothed within the mean. Triangular filter, one of the moving average types, was applied to the obtained ADC data set. Triangular mean FIFO logic is used. The values measured in the triangular mean are multiplied by the coefficients that will form a triangular form according to the filter size and divided by the sum of these coefficients. Thus, the average value is obtained according to the centre point within the target range. This provides softening of the sudden peak values in the readings. Thus, the effect of external and internal errors in reading on the output is kept to a minimum.

1 . The array size is specified as an odd number (F). F=15

2. The midpoint is calculated (M). M= (F+-1)/2

3. The partition coefficient is calculated (R). R= Mx (M+1 )

4. The moving average is calculated.

The formula (4) is used to calculate the temperature depending on the R value obtained. Here, T25 is the equivalent of 250 Celsius in Kelvin, and R25 is the equivalent of resistance at this temperature.

T25 = 298,15 K

The water vapour in the air is called humidity. Humidity is present in every habitable air mass. Absolute humidity is the amount of humidity in 1 m³ of air in grams. Maximum humidity is the maximum amount of humidity that 1 m³ of air can hold. In other words, the air is saturated with humidity. It is directly proportional to temperature. Humidity, which is determined as relative humidity, relative humidity or proportional humidity, is the ratio of absolute humidity to maximum humidity. The temperature value plays an important role in humidity calculations. Because air temperature is directly related to the amount of humidity the air can carry. RH : Relative humidity

P : Absolute humidity

Pmax : Maximum humidity 151 100 ^{L J}

VH : Volumetric humidity

Va (m³) : Volume

Mw (g) : Steam weight

SH : Specific humidity

Mw (kg) : Volume

MDA (kg(DA)) : Steam weight

Sensors (A.9): Depending on the need, many different sensors can be installed on the system.

Particulate matter consists of small particles suspended in the atmosphere. Dust, pollen, sea salt, soil particles, mold, soot, smoke and other fine substances are found in mixtures in the air we breathe every time we breathe. Particulate matter larger than 10 micrometres is usually filtered in our nose and throat, according to the EPA. Particles smaller than 10 micrometres can often pass into the lungs. The smaller the particle size, the further it can travel to the cardiovascular system and cause serious health problems.

Respirable coarse particles (PM 10): Diameter: 2.5 micrometre - 10 micrometre. Emission sources; Dust from fossil fuel combustion, construction and other industrial areas, larger particles and pollen from forest fires and bush burning.

Fine particles (PM 2.5 and PM 1.0): Diameter: 2.5 micrometres and smaller. Emission sources; fossil fuel combustion (gasoline, oil, diesel fuel), particulates in smoke from forest fires, particulates from industries and cars reacting in the atmosphere. The particle measurement unit (A.8) is designed to calculate the number and size of the particle particles in the samples taken from the air at a speed of 0.5Lt/h (Figure 22).

The electrochemical ozone detection module (A.9.1 ) is used to measure the amount of ozone in the environment. Since the sensor works with 3.3V, there is a linear 3.3V regulator (D) on the measurement module to supply the unit. The +5V signal voltage that comes with the communication line is converted to +3.3V with the voltage level converter (E) and applied to the sensor.

The data coming via the physical RS485 bus first comes to the ESD/EFT protector (B.4) unit. The electrical signals coming from here enter the receiver/transmitter integrated circuit (B.3). The data coming to the communication buffer (B.2) connected to this unit is stabilized. Since the physical structure in the communication is at the TTL level, that is, in the range of 0-5V, this level must be converted to 0-3.3V with a voltage converter. The converted bus can thus be connected to the standard bus. The measuring range is between 0~10ppm and the measurement accuracy is 0.01 ppm (Figure 23).

It is a unit designed to measure pressure and differential pressure (A.9.2). This unit uses the physical RS485 bus to connect to the main processor. After the physical RS485 bus is converted to TTL data structure, it is connected to the TTL communication terminals of the microcontroller (A.9.2.1 ) inside the unit. This microcontroller (A.9.2.1 ) is connected to the pressure sensor (A.9.2.2) using the I2C communication bus with the firmware written in it. In order for the sensor to work, the +5V supply voltage at the input is converted to +3.3V with a 3.3V linear regulator (D). Since the microcontroller (A.9.2.1 ) works with +5V and the sensor +3.3V voltage, a voltage level converter (E) has been added to the circuit for I2C communication. In I2C communication, there are SCL, SDA terminals. While the SCL terminal generates clock pulses during communication, the SDA terminal is used for bidirectional data transport (Figure 24).

There are two different units designed according to the area to be pressure measurement. While the first unit can measure the range of -500~0~500 Pa, the second unit measures the range of -1000~0~1000 Pa.

The temperature measuring unit (A.9.3, A.9.4) is designed to work with both analogue and digital sensor types. While NTC type negative thermocouple sensor is used for analogue temperature measurements, sensors working with OneWire protocol are used for digital temperature measurement. In addition, as a third type, a sensor that can measure both humidity and temperature at the same time and works with I2C communication protocol is used. The structure shown in A.9.2 is used for the humidity/temperature sensor that communicates with I2C.

The sensors used in analogue measurements are elements whose resistance changes according to the temperature value. They respond by decreasing the resistance value when the temperature rises, and by increasing the resistance value when the temperatures decrease. The details of the measurement technique made with the ADC are also explained in the software part (Figure 25, Figure 26).

Supply unit: A 3.0 A, Step Down switched regulator (A.4.2) circuit is designed for the supply of the system. By adding a notch filter (A.4.3) on the circuit, it is ensured that the circuit is filtered against noise. Notch filters (A.4.3); are special type of bandstop filters and are produced by designing the bandwidth of the BDF to be very narrow. In biomedical engineering applications, it is generally used to suppress 50 Hz noises caused by mains voltage. Notch filters (A.4.3) are filters that absorb a single frequency value or a very narrow frequency band according to their design. There are also LPF (Low Pass Filter) and HPF (High Pass Filter) filters in the structure of notch filters (A.4.3). However, in these filters, each sub-filter layer consists of two sub-filters positioned symmetrically to each other. Because of this symmetrical structure and the appearance of the circuit connection, it is called as Twin-T (Twin-T) and because the frequency response graph of the filter resembles a notch, it is called a Notch filter. The cutoff frequency fC of the notch filter (A.4.3) is the geometric mean of the lower and upper cutoff frequencies of LPF and HPF filters, which are very close to each other Figure 27). Considering the 50Hz network frequency in the circuit design, the circuit design was made accordingly.

Cutoff frequency of LPF layer:

₌ 1 ₌ 1 [8] l^L 2n2R2C SnRC

Cutoff frequency of LPF layer: f = ¹ I⁹] j^H 2nRC

The geometric mean of fL and fH values, fC, is calculated as follows. 1 [10]

' ^G 4TIRC

PID control: The controller control loop method, which consists of the first letters of the words proportional-integral-derivative PID, is a feedback controller method widely used in industrial control systems. A PID controller continuously calculates an error value, i.e., the difference between the intended system state and the current system state, by comparing a desired value to the current state. The controller tries to minimize the error by adjusting the process control input. There are three values in PID calculations: proportional P, integral I, and derivative are denoted by D. Considering the obtained values and the current variation, it is interpreted as follows: P depends on the current error, I is the sum of past errors, and D is an estimate of future errors (Diagram A). This algorithm has been converted into a software algorithm for the microcontroller (Figure 29). Formula 11 or formula 12 can be used for the calculation process. The K_c parameter in the dependent form effectively uses the Kp, Ki and Kd values as a scalar multiplier.

r(t) reference e(t) desired with process output u(t) process input y(t) process set point difference between set point control value output

Diagram A: PID control algorithm block diagram

Dependent form:

Independent form:

For the PID Firmware coding algorithm, the following calculations are performed, as shown in the representative diagram in figure - 29.

(101) Input - Kp, Ki, Kd values: read value, set value

(102) Time Calculation: Time = current time-last measurement time

(103) Making Error Calculation: Error= value-set value

(104) Making the integral calculation:

Integral integral + ((error + previous error) /2 * time /1000)

(105) Making derivative calculation: Derivative= (error - previous error) / time 1 1000

(106) Calculation: Calculation= (Kp * error) + (Ki * integral) + (Kd * derivative)

Real time clock (A.2): RTC integrated circuit is used for real time clock application in the system. It is operated with a crystal at 32,768 Khz. A battery support has been added for the RTC integration so that the clock can continue to run in case of power cut or disconnection. It is connected to the main processor (A.5.5) via I2C communication bus. In addition, a timing warning is provided by connecting the 1 second trigger tip to the trigger input terminal of the main processor (A.5.5) to create an interrupt.

Motor control unit software (Firmware) (A.1.4): The motor control unit is designed with a 32Mhz microcontroller (A.1.1 ). The microcontroller (A.1.1 ) is connected to the main processor as a slave over the I2C line. In the microcontroller (A.1.1 ), PWM (A.1 .5) and alarm terminals are defined as output, tachometer and fault terminals are defined as isolated inputs. The 10-bit resolution PWM (A.1.5) unit is programmed to give the required electrical signal for the 0-10V voltage generator at an adjustable Duty rate between 0% and 100% at 10Khz. It produces output voltage by adjusting the PWM duty ratio in line with the orders from the main processor. This output voltage is applied to the brushless DC motor driver and the motor rotation is provided at the desired speed ratio. The accuracy of the adjustment is ensured by measuring the signal coming from the tachometer input end. If an error is detected in the rotation of the motor or an error signal from the motor is transmitted to the main processor digitally (logic 0/1 ) via the error terminal

Uart, timer interrupts are used in the software. A very short and fast coding has been developed so that delay and error detection can be full-time. Main control module (A.5): The main control electronic unit (C) is mounted in the main system with a carrier. There is a coloured touchscreen (A.6) on the system. Also available are Wi-Fi (C.3), Bluetooth, USB connections (C.19), (C.21 ). The main control software (A.5.1 ) and operating system (A.5.4) are located on the Micro SD card (C.6) inserted into the control board. The main control module (A.5) is supplied via the switched-mode power supply (SMPS) (25). The power supply receives its energy from the protection fuse (8) housing and on-off switch (47) next to the device. Measurement Unit: For air quality measurement, there is a particle measurement unit and ozone measurement detector unit, temperature measurement unit, humidity measurement unit and CO2 measurement unit. This unit also includes a buzzer with a sounder circuit (45) and a warning sound generator (42) for audible warning. There is an intelligent ozone sensor circuit (46) for the communication of the ozone sensor (A.9.1.1 ) and an intelligent communication unit (44) for the communication of the particle sensor (A.8.3).

Main control software (A.5.1.)^: The necessary infrastructure for serial TTL, I2C, OneWire communication has been prepared in the software.

• The software comprises the necessary infrastructure for USB (A.5.2), (C.19), (C.21 ) devices that can be connected externally.

• The software includes the infrastructure required for Wi-Fi, TCP/IP (A.5.3) connections and the infrastructure required for UDP communication. The necessary infrastructure for the use of the system as a Web server is available in the system.

• The characteristics of the terminals were determined by making definitions for the GPIO connector (C.1 ) in the software.

• Pins are defined for PWM (A.1.5). Its features are introduced to the system. Necessary procedures for its use are defined.

• Relevant procedures are defined for the RTC module.

• Necessary procedures for motor control and fault detection are defined.

• Procedures are defined for measurements of particles, ozone, pressure, O2, CO2, temperature, humidity, and other gases.

• A communication protocol is defined for the automatic response mode communication unit and this protocol is used for the communication of the units and the main controller. • Since the information, data format and data lengths from each sensor are different, separate data analysis procedures are designed for each sensor (for example, particle data is 32 bytes long, ozone data is 8 bytes long, and each byte/bit has different meanings in each sensor).

• A GUI (Graphics User Interface) is designed for the user. This interface is used both for visualizing incoming data and for setting up the device. In addition, visual warnings and alarms are also delivered to the user via this GUI.

• Necessary procedures for network, UDP, LAN and WNS have been defined, infrastructure required for internet bus connection and cellular data connection has been prepared.

• Features such as reporting and graphical display on the GUI have been added and these data can be viewed via remote access.

• The automatic opening and closing times of the device have been made programmable by adding a timer to the software.

• With the timer added to the software, it is possible to perform the cleaning of the environment with Ozone with remote access or with a timing control, without the users inside, and the health of the user is protected in this way. In addition, audible and visual warnings are provided until the ozone gas level inside decreases to appropriate values.

• Necessary infrastructural procedures have been defined for logging into the system, data monitoring and control of smart devices with remote access from the IP address defined in the system.

• Automation procedures have been prepared in order to control functions such as on/off or adjust the speed of external control devices for automation purposes. These procedures are used to control devices with different purposes and features (e.g., heaters, humidifiers, ventilation flaps).

Remote access software for smart device: It has a software with the necessary infrastructure for accessing the main system, viewing system values, and changing system settings with a software to be installed on devices for remote access. The smart device can be a mobile phone, computer, tablet. Calculation of Air Quality Index (AQI):

A standard value between 0-500 is obtained by placing the average values obtained from the air quality index PM2.5, PM10, SO2, NOx, NH3, CO and O3 measurements into a formula. This value gives information about the state of air quality.

• For PM2.5, PM10, SO2, NOx and NH3, the average value over the last 24 hours is used, provided that the value obtained is at least 16 items.

• For CO and O₃ , the maximum value from the last 8 hours is used.

• Each measure is converted into a Sub-Directory based on predefined groups.

• Sometimes measurements are not available due to lack of measurement or lack of required data points. In this case, this measurement average is not taken into account.

• The result is the maximum Sub-Index provided that at least one of AQI, PM2.5 and PM10 is present and at least three of the seven measurements are present.

PM2.5 Calculation: PM2.5 is measured in ug/m3 (micrograms per cubic meter of air).

1 . If average<=30, the Calculation = (average*50) /30

2. If average<=60, the Calculation = 50 + (average- 30) * 50 / 30

3. If average<=90, the Calculation = 100 + (average- 60) * 100 / 30

4. If average<=120, the Calculation = 200 + (average- 90) * 100 / 30

5. If average<=250, the Calculation = 300 + (average- 120) * 100 / 130

6. If average<=250, the Calculation = 400 + (average- 250) * 100 / 130

7. If the average does not meet the above conditions, Calculations PM10 Calculation: PM10 is measured in ug/m3 (micrograms per cubic meter of air).

1 . If average<=50, the Calculation = average

2. If average<=100, the Calculation = average

3. If average<=250, the Calculation = 100 + (average- 100) * 100 / 150

4. If average<=350, the Calculation = 200 + (average- 250)

5. If average<=430, the Calculation = 300 + (average- 350) * 100 / 80

6. If average<=430, the Calculation = 400 + (average- 430) * 100 / 80

7. If the average does not meet the above conditions, Calculations

Sulphur Dioxide (SO2) Calculation: SO2 is measured in ug/m3 (micrograms per cubic meter of air).

1 . If average<=40, the Calculation = average * 50 / 40

2. If average<=80, the Calculation = 50 + (average- 40) * 50 / 40

3. If average<=380, the Calculation = 100 + (average- 80) * 100 / 300

4. If average<=800, the Calculation = 200 + (average- 380) * 100 / 420

5. If average<=1600, the Calculation = 300 + (average- 800) * 100 / 800

6. If average<=1600, the Calculation = 400 + (average- 1600) * 100 / 800

7. If the average does not meet the above conditions, Calculations

Nitric x-oxide (NOx) Calculation: NOx is measured in ppb (parts per billion).

1 . If average<=40, the Calculation = average * 50 / 40

2. If average<=80, the Calculation = 50 + (average- 40) * 50 / 40

3. If average<=180, the Calculation = 100 + (average- 80) * 100 / 100

4. If average<=280, the Calculation = 200 + (average- 180) * 100 / 100

5. If average<=400, the Calculation = 300 + (average- 280) * 100 / 120

6. If average<=400, the Calculation = 400 + (average- 400) * 100 / 120

7. If the average does not meet the above conditions, Calculations

Ammonia (NH3) Calculation: NH3 is measured in ug/m3 (micrograms per cubic meter of air).

1 . If average<=200, the Calculation = average * 50 1200

2. If average<=400, the Calculation = 50 + (average- 200) * 50 1200

3. If average<=800, the Calculation = 100 + (average- 400) * 100 / 400

4. If average<=1200, the Calculation = 200 + (average- 800) * 100 / 400 5. If average<=1800, the Calculation = 300 + (average- 1200) * 100 / 600

6. If average<=1800, the Calculation = 400 + (average- 1800) * 100 / 600

7. If the average does not meet the above conditions, Calculations

Carbon Monoxide (CO) Calculation: CO is measured in mg/m3 (milligrams per cubic meter of air).

1 . If average<=1 , the Calculation = average * 50 / 1

2. If average<=2, the Calculation = 50 + (average- 1 ) * 50 / 1

3. If average<=10, the Calculation = 100 + (average- 2) * 100 / 8

4. If average<=17, the Calculation = 200 + (average- 10) * 100 / 7

5. If average<=34, the Calculation = 300 + (average- 17) * 100 / 17

6. If average<=34, the Calculation = 400 + (average- 34) * 100 / 17

7. If the average does not meet the above conditions, Calculations

Ozone (03) Calculation: 03 is measured in ug/m3 (micrograms per cubic meter of air).

1 . If average<=50, the Calculation = average * 50 / 50

2. If average<=100, the Calculation = 50 + (average- 50) * 50 / 50

3. If average<=168, the Calculation = 100 + (average- 100) * 100 / 68

4. If average<=208, the Calculation = 200 + (average- 168) * 100 / 40

5. If average<=748, the Calculation = 300 + (average- 208) * 100 / 539

6. If average>748, the Calculation = 400 + (average- 400) * 100 / 539

7. If the average does not meet the above conditions, Calculations

Calculation of Indoor Air Quality Index (IAQI): The values used in the AQI calculation are calculated by taking the average of the data taken within 8 hours and 24 hours. Although these average values are suitable for measuring outdoor air quality, they are not suitable for measuring indoor air quality. Because exposure to inappropriate values in closed environments is likely to cause serious health problems, even for a short time. There is no accepted international standard and method for measuring indoor air quality.

For this reason, a method for calculating the IAQI value, which is calculated by using the average of the samples taken every ten seconds in one minute, has been developed instead of the long-term average data in the system (formula 13). In addition to the fact that this method gives more accurate and faster results, it is important that the actions to be taken to increase the indoor air quality can be implemented immediately.

Carrier Cabin: The carrier cabin consists of a panel made of static painted aluminium material, the front cover (1), the upper cover (2), the back cover (3), the right-side cover (4), the bottom cover (5), the left side cover (6) in order to carry all air quality measurement units, all electronic circuits and filter units together with supply units.

Preferably, there is an upper cover (2) where the polluted air inlet duct (13) with a ventilation grille is located on the carrier cabin. There is a coloured touchscreen (A.6) for user control on the front of the carrier cabinet. In addition, there are particle measurement air outlet (40) providing sampling air outlet for the particle sensor (A.8.3) used for measurements and particle measurement air inlet (39) channels providing sampling air inlet in front of the device.

The ozone sensor (A.9.1.1 ) for the measurement of the ozone level and the buzzer with the warning sound generator (42) for the audio warnings are located in front of the device.

On the right-side cover (4) or the left side cover (6), right next to the electrical input, there is the protection fuse (8) slot and the on-off switch (47).

There are four caster wheels (14) placed under the cabin to enable the carrier cabin to move.

There is a fresh air outlet duct (12) on the front cover (1 ), back cover (3), right side cover (4), left side cover (6) that allows the cleaned air to be transferred to the outside in order to access electronic devices and the engine.

Prefilter (19): The pre-filter (19) consisting of 4 layers with a droplet filter, located at the top of the air inlet, is included in the system to meet different needs with very different features. For example, Legionnaires' Disease Legionellosis is a serious lung infection caused by Legionella species. The disease was first described in 1976 in a Philadelphia hotel (Bellevue Stratford Hotel) at a congress of American Legionnaires, with an outbreak of pneumonia among attendees. Of the participants attending the congress, 221 were affected by L. pneumophila and 34 died. Since the infection first appeared in the meeting with the legionnaires and the causative microorganism was isolated from lung tissue samples, the disease was called "Legionnaires' disease" and the bacterium causing the infection was named Legionella pneumophila. Legionnaires' disease was first identified with a hotel -acquired epidemic, and it was soon realized that it could occur with hospital-acquired outbreaks or sporadic cases. Legionella bacteria are microorganisms found in natural waters. Legionella are also common in man-made water systems. When the water temperature stays between 25-55°C for a long time, Legionella can multiply in these waters, and we face it as a serious problem. Dead spaces occur in areas where the water is stagnant. Dead spaces increase the risk by making it easier for bacteria to settle. It is accepted that there are two ways for the bacteria to reach the lungs. The widely accepted way is the inhalation of water aerosols containing Legionella, which are emitted into the respiratory air from environmental sources (fans of cooling-towers, whirlpools and shower heads, spray humidifiers, decorative fountains...). Another important transmission route is the passage of bacteria settled in the oropharynx into the respiratory tract as a result of aspiration of water containing Legionella. By definition, aerosol is a kind of mixture formed by the suspension of very fine and small solid particles in air or other gases. Aerosol is short for aero-solution, meaning "air mixture". Aerosols may contain small or large particles; however, what is generally meant by "aerosol" is particles that are small. The coarser particles, due to their mass, fall to the ground before they dry out and therefore cause contamination if we are talking about a disease. Contamination due to these rapidly falling particles is called droplet (or contact) transmission. That is, transmission occurs not because you ingest the pathogen directly, but because you touch a pathogen-contaminated surface. Of course, a debate on this subject is whether droplets sprayed directly on your face by sneezing or coughing are also "transmitted by droplets"; however, this method is also generally accepted as droplet transmission (although more rarely, people don't usually sneeze and cough in your face, although it causes transmission). Smaller particles called aerosols, on the other hand, are so light that the buoyant force of the air can overcome gravity, so that these tiny particles continue to float through the air. Some of these can remain suspended in the air for so long that they evaporate before they reach the ground or a surface (Figure 10). However, the danger of this is that they can also carry pathogens such as viruses or bacteria to the places they go and leave them to those environments after they evaporate. Such aerosol-borne pathogens (and other solid particles) are called droplet nuclei. This is what is meant by airborne transmission. Here, aerosol and droplets must be purified from the air in order to prevent the spread of viruses and bacteria that spread in an aerosol environment such as Legionnaires. This is what the prefilter (19) is for. Therefore, there are four separate layers in the prefilter (19) (Figure 14). The first filter layer is made of Meltblown fabric (19.1 ). Meltblown fabric is a type of synthetic fabric obtained by using many different technologies. Because it is produced artificially, filtering and similar extra protective features are added. It is mostly used in the medical field, especially in the production of masks and gloves. Aerosols and particles of a certain size can be retained by this fabric (Figure 14). The second layer comprises the Fibre filter (19.2). Fibre filters (19.2) are made of 100% organic synthetic fibre. It provides maximum filtration with its long service life and low-pressure loss. It is washable. It has dust and moisture retention feature. In the third layer of the prefilter (19) there is again a Meltblown filter (19.1 ). In the last fourth layer of the prefilter, there is a metal coarse particle filter (19.3). Since this prefilter (19) is the first entry point of the air, the prefiltering process is done here. Aerosol, moisture, coarse particles are retained in this filter. It is a low-cost washable filter.

In the alternative version of the invention, the meltblown fabric filter (19.1 ), fibre filter (19.2) and metal filter (19.3) in the prefilter (19) can be used more than once or in different sequences provided that each one is used at least once.

Electrostatic Filter (20), The cabin (32) of the electrostatic filter is made of a highly electrically insulating and water-resistant material (Figure 6). It is suitable for washing with cleaning chemicals and water. In this filter system, the air passing through the prefilter (19) first enters the ionizer channel (35). Here, with a voltage between -6Kv and -15Kv, the particles are charged with a negative charge. As the negatively charged air passes between the insulation pieces (36) and the ground potential or the electrostatic plates (37) with reverse voltage between 6KV and 15Kv placed in parallel with the insulation pieces just below, the negatively charged plates repel the negatively charged particles and the plates with positive or ground potential attract them. Thus, the ionized particles adhere to these plates. As the polluted air passes through the electrically charged area, the oil, smoke and soot particles in the air are strongly pulled towards itself by the collector plates and adhered to the filter surface, resulting in a 99% clean air at the outlet. The high voltage connections of the filter are provided with steel contact tips. Electrical connections to the loading plates are provided by spring contact points (17), carrier high voltage contact and ionizing voltage contact plates (33.34).

High Voltage Generator: There is an automation controlled negative and positive high voltage power supply (31 ) to meet the reverse polarized high voltage requirement of the electrostatic filter (20) to ionize the air passing through it. The generated voltage of this generator is transferred to the electrostatic filter unit with spring contact points (17). For safety, if the filter is removed, voltage generation automatically stops.

Secondary Filter (21): The secondary filter (21) consists of five layers in total (Figure 15). In the first layer, there is a deodorant filter (21.1 ) in order to prevent allergies to deodorants and similar chemicals. Just behind it, there is an anti-formaldehyde filter

(21.2) as a second filter. Formaldehyde is a colourless, flammable, odorous gas belonging to the group of organic compounds called aldehydes formed by the oxidation of alcohols. Formaldehyde causes cancer over time and sometimes exposure causes serious health effects. According to the EPA, exposure to formaldehyde shows symptoms such as watering eyes, burning in the eyes, a burning sensation in the throat, nausea and shortness of breath. These effects are usually seen in people exposed to high levels (above 0.1 per million). High concentrations can trigger asthma attacks. Some individuals may become sensitized to formaldehyde after prolonged or high concentrations of VOC exposure. The third layer is the large granular activated carbon filter (21.3). Activated carbon filters (22),

(21.3) work with a system called absorption. By means of this system, substances polluting the air are purified from the air. The substance intended to be trapped in the absorption system does not actually become a part of the system. The harmful substances purified by this system fill the gaps. With the absorption system, which is the working system of the activated carbon system, harmful gases are not trapped in the system, but in the cavities of the system. In fact, the dirt that is purified from the air sticks to the outside of the carbon, not inside. Activated carbons have properties that can decompose volatile organic compounds (VOC), odours and other gaseous pollutants from the air. Activated carbon filters are used to remove odours in the air, such as the smell of cigarette smoke. However, they cannot decompose particles such as mold, dust or pollen from the air. For this, hepa filters are used. There is a hepa filter (21.4) as the fourth layer. HEPA (High Efficiency Particulate Catcher) filters are filters with a large capacity to filter small particles. HEPA filters remove more than 99.9% of particles in the air stream passing through them. HEPA filters (21.4) are filters that can purify airborne particles up to 0.3 microns. The fifth layer is the antimicrobial filter (21.5). Antimicrobial filter (21.5) structures contain chemicals that prevent the growth and reproduction of microorganisms such as fungi, bacteria and yeast. At the same time, these structures can be used to prevent the migration of biological pests into the drained or filtered product.

Activated Carbon Filter (22): Activated carbon is formed by various processes of materials such as coconut, wood, and coal. Although it is produced naturally, it is not natural or organic due to its chemistry. Activated carbon has millions of protrusions on its surface. And that's why its surface area is an incredibly large type of carbon. It differs from other types of coal because it has a negatively charged and porous structure. It can filter substances such as activated carbon, Chlorine, Phenol, Some drugs, Volatile compounds, Iron, Mercury, Chelated copper. It plays an important role in keeping bad odours (22).

There are differences in volume and thickness between the large granular activated carbon filter (21.3) located in the secondary filter (21 ) and the activated carbon filter (22) mentioned in the above paragraph, and they have differences in terms of granule diameter and dust and particle retention performance.

Titanium Dioxide Filter (23): The concept of photocatalytic is still very new in the world, it is a nanotechnological and photochemical surface coating product that does not harm organic materials and human health, can maintain its effectiveness for a long time when used once, and creates a chemical reaction by using light energy. It reacts chemically with the light energy emitted by the UV Lamp behind it and prevents the formation of fungi, bacteria, and mold. In addition, it instantly decomposes volatile organic substances (VOC) in the air and renders it harmless. By means of the reaction it creates on the photocatalytic coated surfaces, it prevents the formation of fungi, bacteria, and mold. Volatile organic substances (VOCs) in the air, which have a negative effect on human health, break down and become harmless immediately upon contact with photocatalytic coated surfaces. It prevents bad odour. It prevents evaporation on photocatalytic coated surfaces (23).

UVC ve UVB filters (24): It is a UV disinfection system that is used for air disinfection in all environments with air sterilization, air conditioning and ventilation systems and radiates in the C band, which is the most effective UV wavelength against microorganisms (24). It provides a safe and effective air sterilization against contamination that may occur as a result of UVC microbiological contamination. Short-wavelength ultraviolet (ultraviolet C, UVC) light is used to kill or inactivate microorganisms by destroying nucleic acids and disrupting their DNA, rendering them unable to perform vital cellular functions. At the same time, UVC is needed for the chemical activation of the Titanium Dioxide filter (23) located in the upper layer. UVC lamps are mounted to the device with special sockets produced for these lamps. For high-power lamps, 2G11 is used, while for low-power lamps, model G23 sockets are used. In order for these lamps to work, units that adjust the current and voltage of the lamps called first and second ballasts (28,29) are used. These ballasts are connected to the automation unit that analyses the orders from the main control module (A.5). The automation unit activates or deactivates the lamp by adjusting the voltage of the ballasts. Up to two UVC lamps of different powers can be connected to the system to obtain the desired wattage. 2x36W = 72W as the highest power or 2*5W = 10W as the lowest power can be obtained. First ballast 1 is (28) 24 w; second ballast is (29) 11w.

The UVB lamp, which is connected to this platform and works independently, is also used for the purpose of converting this ozone gas back to O2 when ozone is used for ambient disinfection at the same time. With O3 + hv -> O2 + O transformation, one oxygen molecule and one oxygen atom are formed, where h is Planck's constant; v is the frequency of UV rays.

Ambient disinfection with ozone: Ozone gas is formed in nature as a result of ultraviolet rays coming from the sun breaking down oxygen in the atmosphere and turning it into ozone molecules. Technologically, it is obtained from the air we breathe or pure oxygen with the help of electron discharge. Ozone has been widely used for disinfection, especially in recent years, because it is a gas with high oxidation power. Ozone gas, whose raw material is oxygen, is the only natural disinfectant. The fact that it is a natural disinfectant has led to the rapid spread of its usage areas and its safe use. Interest in the use of ozone for disinfection in the field of aquaculture has been increasing rapidly in recent years. Ozone gas is used in the disinfection of water, food industry, cold storage, odour removal, swimming pools, colour removal, waste water treatment, nitrite, ammonia, iron, manganese removal, and the disinfection of living ambient air. Ozone disinfection occurs by lysing the cell or tearing the cell membrane. The bactericidal effect of ozone depends on some interactions such as pollution of water, amount of dissolved substance in water, pH, temperature of water and contact time. Approximately 4-10 minutes of contact with ozone and water ensures disinfection. About 0.1 - 0.5 mg/L ozone kills almost all bacteria. When ozone gas comes into contact with surfaces, it also destroys organic substances on the surface. In order to provide this surface cleaning, there is an ozone generator (27) for cleaning closed environments with ozone gas when there is no living thing inside. This generator is located in the air cleaning unit right next to the ventilation fan. In order to produce ozone, the O2 in the air must be passed over the ozone generator (27). A ventilation fan is used to do this air conversion. The air of the room passes through the filters and enters the room. As it passes in front of the generator, O2 entering into the corona discharge area is broken down into 20 (O2 + e- = 20). This unstable structure immediately combines with the O2 molecule to produce two molecules of ozone (20 + 2O2 = 2O3). The ozone produced is released into the room. According to the cubic meter volume of the room, ozone gas is released into the closed area for a suitable time, and the indoor environment is disinfected. Commissioning of the ozone system is performed by the automation control module (A.10) and ozone module (A.11 ).

Ventilation Motor: Radial BLDC (Brushless DC Motor) brushless ventilation motor (26) is used for the circulation of indoor air, and BLDC motor PID control (A.1.9) unit is used for motor speed control. The air coming from the filters is transferred to the clean air outlet duct (12) located under the outer cabin and the cleaned air is given back to the environment. Stone wool placed between the panels is used as a silencer in the area where the ventilation fan is located. Silencer ducts (16) are used to ensure that this stone wool comes into contact with the air. The fault and tachometer outputs on the brushless ventilation motor (62) are connected to the main control circuit, and the motor speed is controlled, and fault checks are made. Stone wool is also used as a vibration damper.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises:

• At least one sensor that measures the temperature, pressure, particle, humidity and ozone values that enable to measure the air quality in the installed area,

• Electronic circuits, sensor units, alarm units, main system control software, sensor unit software that evaluate data with sensor data reading and evaluation methods, command the relevant devices as a result of the evaluation, and give warnings when necessary,

• At least one isolation unit with optical isolation, providing electrical isolation of the control circuit for safety

• At least one of the Meltblown fabric filter (19.1 ), fibre filter (19.2), metal filter (19.3), electrostatic filter (20), deodorant filter (21.1 ), anti-formaldehyde filter (21.2), large granular activated carbon filter (21.3), the hepa filter (21.4), antimicrobial filter (21.5), active carbon filter (22), titanium dioxide filter (23) and UVC and UVB filters (24),

• High electrical insulator electrostatic filter cabin (32) resistant to a socket that contains an electrostatic filter (20) therein,

• Ozone generator (27), which is used to produce ozone by using the air passing through all filters, in order to ensure that the ozone production system for environmental cleaning has a long life and that the production amount can work for a long time without changing,

• UVB lamp and control system that converts the ozone gas in the closed area back into oxygen gas after the environment cleaning process,

• Filter carrier channels (18), that comprise carrier rails that allow all electronic/mechanical filters to be placed on top of each other and prevent leakage air flow between the filters, • Platform carrying primary and secondary ballast (28, 29), UVC and UVB filters (24) and UVC/UVB filters,

• Dual output high voltage power supply with reverse polarity (31 ),

• Brushless ventilation motor (26) used for air circulation

• The carrier table (15), which separates the clean air outlet duct (12) and the polluted air inlet duct (13), creating a vacuum environment and at the same time carrying the motor and electronic control circuits on it,

• Silencer channels (16), that has an inter-panel chamber in which stone wool is placed, absorbs sound and vibration with rock wool placed in the chamber, and positioned in the motor and electronic unit carrier plate (15) and motor area to ensure the silence of the system, and

• The polluted air inlet duct (13) located on the top of the device and taking the contaminated polluted air into the device from the top of the device, and the clean air outlet duct (12) located in the lower part of the device in order to return the air to the room from the bottom of the device after the contaminated air is cleaned with sequential filters.

The brushless ventilation motor (26) disclosed in the invention is preferably a PID controlled BLDC motor. In the preferred application of the invention, the ozone generator (27) disinfects the air cleaner filters during the conversion of ozone molecules into oxygen molecules after the environment cleaning process, which enables the ozone (O3) produced for environmental cleaning to be converted back into oxygen molecule (O2).

The electrostatic filter (20) described in the invention comprises ionizing plate (35) inside the electrostatic filter cabinet (32), electrostatic plates (37) with large surface blades fed with voltage with reverse polarity, insulators (36) which are highly electrically insulating parts in order to isolate these blades, high voltage and ionizing voltage contact plates (33.34) that make contact with spring contact points (17) so that the high voltage supply can reach the blades. In a preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, said carried cabin consists of

• Front cover (1 ), top cover (2), back cover (3), right side cover (4), bottom cover (5), left side cover (6) split panels, and carries

• Capacitive coloured touch screen (A.6) on the front cover (1 ),

• Carrier wheels (14) that enable it to move,

• Particle measurement air inlet (39) and particle measurement air outlet (40) ducts on it,

• Touch panel and control circuit (10), sensor/warning unit (11 ), control electronics circuit/unit (30), particle detecting sensor (43), communication unit (44), sound circuit (45), ozone sensor circuit (46), supply unit,

• Switch mode power supply (SMPS)(25)

• Air quality measurement unit,

• Ozone detector (41 ),

• Electronic/mechanical filters consisting of pre-filter (19), electrostatic filter (20), secondary filter (21 ), active carbon filter (22), titanium dioxide filter (23), UVC and UVB filters (24)

• Ozone generator (27) that cleans the ambient and air, and

• Brushless ventilation motor (BLDC) (26) that drives the ventilation fan.

In the preferred embodiment of the invention, there is a particle sensor (A.8.3) and an air quality measurement module (A.8) unit that can measure PM1 , PM2.5, PM10 size particles at pg/m³ ratio, PM1 , PM2.5 size particles at pg/m³ ratio, and total concentration value at pg/m³ ratio under atmospheric environment and give the measurement value of at least one of the particle measurements of 0.3 pm, 0.5 pm, 1 .0 pm, 2.5 pm, 5.0 pm, 10 pm in 0.1 L air.

The main control unit (C) of the preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises:

• Microprocessor development board, expansion board connected to this board via GPIO connector (C.1 ), • 10 Bit ADC for converting analogue information to digital with Uart, I2C, USB, Wi-Fi, TCP/IP (A.5.3) communication units, 10 Bit PWM modules (A.1.5) to generate square wave electrical signal at determined frequency and Duty rate.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises:

• ESD/EFT protector (B.4), transceiver (B.3), automatic response control (B.6) and communication buffer (B.2) modules for the physical RS485 bus of sensor units, and automation control units and

• a step-down regulator that can directly use the supply voltage from the expansion board of the sensor units or reduce the supply voltage to the regression required by the sensor according to the sensor's characteristics.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises voltage level converter (E) module that converts the TTL voltage level to +3.3V according to the amplitude of the communication signal used by the sensors used in the sensor units.

In the invention, there also is an RTC unit, which comprises a battery that allows the internal RTC unit to continue working even when the device is out of power and provides a one-second timing warning signal to the main processor as a trigger signal and enables this timer trigger to be used in the operations to be performed on the main processor.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises the module that enables the data from the sensor to be updated via the user graphical interface (GUI) with timing warning signal triggering, and the synchronization of transfers to remote points with this time triggering.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises: • at least one RS485 physical data transmission module with Master and Slave with auto answer mode that performs the process steps of the serial communication bus electrical signals coming as TTL entering the buffer unit, the signals coming out of the buffer entering the receiver/transmitter integrated circuit together with the automatic response module, and the signals coming out of the integrated circuit being transferred to the external environment with balancing and termination units after they are transferred to the ESD/EFT protective circuit in RS485 physical data transmission module with auto answer mode In Master mode;

• at least one RS485 physical data transmission module with Master and Slave with auto answer mode that performs the process steps of the serial communication bus electrical signals coming as TTL entering the buffer unit, the signals coming out of the buffer entering the receiver/transmitter integrated circuit together with the automatic response module, and the signals coming out of the integrated circuit being transferred to the external environment over ESD/EFT protective circuit in RS485 physical data transmission module with auto answer mode In Slave mode.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises:

• Motor PID control unit that enables the tachometer and error data from the motor to be transmitted to the microcontroller in isolation through the relevant connector, monitor the compliance of the tachometer data with the set speed from these data and evaluating the error information coming from the motor, and

• the PID control software to reinterpret the speed information according to the incoming isolated tachometer data, and send it back to the motor control end.

In the preferred embodiment of the invention, the motor PID control unit has a microcontroller (A.1.1) with a 16-bit CPU. In addition, the motor PID control unit comprises electronic circuits that generate 0-1 OV drive voltage, which is the motor speed control voltage, with the PWM signal produced by the CPU. The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises ozone sensor (A.9.1 .1 ) and ozone measurement unit (A.9.1 ) with a measurement range of 0~ 10ppm and a measurement accuracy of 0.01 ppm,

• which are connected to the control module via the RS485 physical data transmission module with automatic answering mode,

• Pressure measurement unit (A.9.2) that measures pressure and/or differential pressure with a sensor capable of measuring the range of -500~0~500 Pa or a pressure sensor (A.9.2.2) measuring the range of -1000~0~1000Pa

• Measurement unit for analogue sensors (A.9.3) that enables temperature measurement with firmware using the method developed by connecting NTC thermistor to the ADC unit and using the formula 1 ,2,3,4

• The temperature sensor and measurement unit that calculates the temperature values with the moving average method using formula 3 since the data coming from the digital temperature sensors are temperature values that can be processed directly,

• Evaluation of the data coming from the ADC unit and the recessive humidity sensor with the method developed using the formula 1 ,2,3, and the humidity sensor and measurement unit, which enables the measurement of humidity values using the formula 5,6,7,

• At least one of the temperature/humidity sensor (A.9.4.2) and numerical sensors (A.9.4) units that enable the measurement of temperature/humidity values with the moving average method using formula 3 since the data coming from the digital temperature/humidity sensor (A.9.4.2) are temperature and humidity values that can be processed directly.

The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, comprises:

• Software prepared for a smart device that enables it to connect via Wi-Fi, TCP/IP, view measurement values, send data to remote stations, and enable remote access to the existing system, Calculation and reporting software based on algorithms and formulas that enable the calculation of air quality index (AQI) and indoor air quality index (IAQI). The preferred embodiment of the air quality measurement, control automation, air and ambient cleaning system, which is the subject of the invention, also comprises electronic systems that filter the circuit against noise by using Step Down switched regulator (A.4.2) and notch filter (A.4.3) for the supply of the system.

Claims

CLAIMS An air quality measurement, control automation, air and ambient cleaning system, characterized by comprising;

• At least one sensor that measures the temperature, pressure, particle, humidity and ozone values that enable to measure the air quality in the installed area,

• Electronic circuits, sensor units, alarm units, main system control software, sensor unit software that evaluate data with sensor data reading and evaluation methods, command the relevant devices as a result of the evaluation, and give warnings when necessary, and

• Pre-filter (19), electrostatic filter (20), secondary filter (21 ), active carbon filter (22), titanium dioxide filter (23), UVC and UVB filters (24) and ozone generator (27). The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising;

• Touch panel and control circuit (10), sensor/warning unit (11 ), control electronics circuit/unit (30), particle detecting sensor (43), communication unit (44), sound circuit (45), ozone sensor circuit (46), supply unit,

• Switch mode power supply (SMPS)(25)

• Air quality measurement unit,

• Ozone detector (41 ),

• Electronic/mechanical filters consisting of pre-filter (19), electrostatic filter (20), secondary filter (21 ), active carbon filter (22), titanium dioxide filter (23), UVC and UVB filters (24)

• Ozone generator (27) that cleans the ambient and air, and

• External cabin carrying the brushless ventilation motor (BLDC) (26) that drives the ventilation fan. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; • Front cover (1 ), top cover (2), back cover (3), right side cover (4), bottom cover (5), left side cover (6) split panels, and has,

• On the front cover (1 ), capacitive coloured touch screen (A.6),

• Carrier wheels (14) that enable it to move, and

• Particle measurement air inlet (39) and particle measurement air outlet (40) ducts. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; filter carrier channels (18) including carrier rails that allow all electronic/mechanical filters to be placed on top of each other and prevent leakage air flow through the filter gaps. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; brushless ventilation motor (26) used for air circulation, wherein the brushless ventilation motor (26) is PID controlled BLDC motor. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; the carrier table (15) that separates the clean air outlet duct (12) and the polluted air inlet duct (13) from each other, creating a vacuum environment and at the same time carrying the motor and electronic control circuits thereon. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; silencer channels (16), that has an inter-panel chamber in which stone wool is placed, absorbs sound and vibration with rock wool placed in the chamber, and are positioned in the motor and electronic unit carrier plate (15) and motor area to ensure the silence of the system. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; the platform carrying first and second ballast (28,29), UVC and UVB filters (24) and UVC/UVB filters. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; ozone generator (27), which is used to produce ozone by using the air passing through all filters, in order to ensure that the ozone production system for environmental cleaning has a long life and that the production amount can work for a long time without changing. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; UVB lamp and control system that converts the ozone gas in the closed area back into oxygen gas after the ambient cleaning process. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; ozone generator (27) that ensures that the ozone in the ambient is recirculated to oxygen after the cleaning process, and that it is cleaned and disinfected with ozone in the existing filters on the device. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; at least one isolation unit with optical isolation, providing electrical isolation of the control circuit for safety. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized in that; the electrostatic filter (20) is located in the water-resistant, highly electrically insulating electrostatic filter cabin (32). The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by said electrostatic filter (20) comprising; ionizing plate (35) inside the electrostatic filter cabinet (32), electrostatic plates (37) with large surface blades fed with voltage with reverse polarity, insulators (36) which are highly electrically insulating parts in order to isolate these blades, high voltage and ionizing voltage contact plates (33.34) that make contact with spring contact points (17) so that the high voltage supply can reach the blades.

15.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; reverse polarized dual output high voltage power supply (31 ).

16.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising;

• Microprocessor development board, expansion board connected to this board via GPIO connector (C.1 ), and

• The main control unit (C) having 10 Bit ADC for converting analogue information to digital with Uart, I2C, USB, Wi-Fi, TCP/IP (A.5.3) communication units, 10 Bit PWM modules (A.1.5) to generate square wave electrical signal at determined frequency and Duty rate thereon.

17.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising;

• ESD/EFT protector (B.4), transceiver (B.3), automatic response control (B.6) and communication buffer (B.2) modules for the physical RS485 bus of sensor units and automation control units and

• a step-down regulator that can directly use the supply voltage from the expansion board of the sensor units or reduce the supply voltage to the regression required by the sensor according to the sensor's characteristics.

18.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; voltage level converter (E) module that converts the TTL voltage level to +3.3V according to the amplitude of the communication signal used by the sensors used in the sensor units. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; a battery that allows the internal RTC unit to continue working even when the device is out of power, and provides a one-second timing warning signal to the main processor as a trigger signal and enables this timer trigger to be used in the operations to be performed on the main processor. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; the module that enables the data from the sensor to be updated via the user graphical interface (GUI) with timing warning signal triggering, and the synchronization of transfers to remote points with this time triggering. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising;

• at least one RS485 physical data transmission module with Master and Slave with auto answer mode that performs the process steps of the serial communication bus electrical signals coming as TTL entering the buffer unit, the signals coming out of the buffer entering the receiver/transmitter integrated circuit together with the automatic response module, and the signals coming out of the integrated circuit being transferred to the external environment with balancing and termination units after they are transferred to the ESD/EFT protective circuit in RS485 physical data transmission module with auto answer mode In Master mode;

• at least one RS485 physical data transmission module with Master and Slave with auto answer mode that performs the process steps of the serial communication bus electrical signals coming as TTL entering the buffer unit, the signals coming out of the buffer entering the receiver/transmitter integrated circuit together with the automatic response module, and the signals coming out of the integrated circuit being transferred to the external environment over ESD/EFT protective circuit in RS485 physical data transmission module with auto answer mode In Slave mode.

22.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by motor PID control unit comprising; the microcontroller (A.1 .1 ) with 16-bit CPU.

23.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; electronic circuits that produce 0-1 OV drive voltage, which is the motor speed control voltage, with the PWM signal produced by the CPU of the motor PID control unit.

24.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising;

• Motor PID control unit that enables the tachometer and error data from the motor to be transmitted to the microcontroller in isolation through the relevant connector, monitor the compliance of the tachometer data with the set speed from these data and evaluating the error information coming from the motor, and

• the PID control software to reinterpret the speed information according to the incoming isolated tachometer data, and send it back to the motor control end.

25.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; a particle sensor (A.8.3) and an air quality measurement module (A.8) unit that can measure PM1 , PM2.5, PM10 size particles at pg/m³ ratio, under atmospheric environment PM1 , PM2.5 size particles at pg/m³ ratio, total concentration value at pg/m³ ratio and give the measurement value of at least one of the particle measurements of 0.3 pm, 0.5 pm, 1.0 pm, 2.5 pm, 5.0 pm, 10 pm in 0.1 L air.

26.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; connecting to the control module of RS485 with automatic answering mode via physical data transmission module and at least one of, • ozone sensor (A.9.1.1 ) and ozone measurement unit (A.9.1 ) with measurement range between 0—10 ppm and whose measurement accuracy is 0.01 ppm,

• Pressure measurement unit (A.9.2) that measures pressure and/or differential pressure with a sensor capable of measuring the range of -500—0—500 Pa or a pressure sensor (A.9.2.2) measuring the range of - 1000-0-1000 Pa

• Measurement unit for analogue sensors (A.9.3) that enables temperature measurement with firmware using the method developed by connecting NTC thermistor to the ADC unit and using the formula 1 ,2,3,4

• The temperature sensor and measurement unit that calculates the temperature values with the moving average method using formula 3 since the data coming from the digital temperature sensors are temperature values that can be processed directly,

• Evaluation of the data coming from the ADC unit and the recessive humidity sensor with the method developed using the formula 1 ,2,3, and the humidity sensor and measurement unit, which enables the measurement of humidity values using the formula 5,6,7,

• the temperature/humidity sensors (A.9.4.2) and measurement units for numerical sensors (A.9.4) that enable measuring of the temperature/humidity values with the moving average method using formula 3 since the temperature and humidity value datas which coming from the digital temperature/humidity sensor (A.9.4.2) can be processed directly. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; software prepared for smart device that enables to connect with Wi-Fi, TCP/IP, view measurement values, send data to remote stations and make remote access of existing system.

28.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; calculation and reporting software based on algorithms and formulas that enable the calculation of air quality index (AQI) and indoor air quality index ( I AQI) .

29.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; electronic systems that filter the circuit against noise by using Step Down switched regulator (A.4.2) and notch filter (A.4.3) for the supply of the system.

30.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; at least one of the Meltblown fabric filter (19.1 ), fibre filter (19.2), metal filter (19.3), electrostatic filter (20), deodorant filter (21.1 ), anti-formaldehyde filter (21.2), large granular activated carbon filter (21 .3), the hepa filter (21 .4), antimicrobial filter (21.5), active carbon filter (22), titanium dioxide filter (23) and UVC and UVB filters (24).

31. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; a four-layer prefilter (19) consisting of a meltblown fabric filter (19.1 ), a fibre filter (19.2), a meltblown fabric filter (19.1 ) and a metal filter (19.3), respectively.

32. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; a five-layer secondary filter (21 ) consisting of deodorant filter (21.1 ), anti-formaldehyde filter (21.2), large granular activated carbon filter (21.3), hepa filter (21.4), and antimicrobial filter (21 .5).

33.The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; the ozone generator (27) that enables the ozone (O3) produced for environmental cleaning to be converted back to oxygen molecule (O2), and can disinfect air- purifying filters during the conversion of ozone molecules into oxygen molecules after the environment cleaning process. The air quality measurement, control automation, air and ambient cleaning system according to Claim 1 , characterized by comprising; the polluted air inlet duct (13) located on the top of the device and taking the contaminated polluted air into the device from the top of the device, and the clean air outlet duct (12) located in the lower part of the device in order to return the air to the room from the bottom of the device after the contaminated air is cleaned with sequential filters.