CN117490192A - Air quality dynamic monitoring and early warning system and purification control method - Google Patents

Air quality dynamic monitoring and early warning system and purification control method Download PDF

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Publication number
CN117490192A
CN117490192A CN202311443122.3A CN202311443122A CN117490192A CN 117490192 A CN117490192 A CN 117490192A CN 202311443122 A CN202311443122 A CN 202311443122A CN 117490192 A CN117490192 A CN 117490192A
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module
early warning
air quality
environmental data
various environmental
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刘松荣
刘炜
周世军
蔡姣
周鹏
肖燕萍
晏致涛
马非
钟永力
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Zhejiang Jiaotou Expressway Operation Management Co ltd
Chongqing University of Science and Technology
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Zhejiang Jiaotou Expressway Operation Management Co ltd
Chongqing University of Science and Technology
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Priority to CN202311443122.3A priority Critical patent/CN117490192A/en
Publication of CN117490192A publication Critical patent/CN117490192A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52Indication arrangements, e.g. displays
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52Indication arrangements, e.g. displays
    • F24F11/526Indication arrangements, e.g. displays giving audible indications
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61Control or safety arrangements characterised by user interfaces or communication using timers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating concentration of particle suspensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/0037NOx
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/0039O3
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/004CO or CO2
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/0047Organic compounds
    • G01N33/0049Halogenated organic compounds

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Abstract

The invention discloses an air quality dynamic monitoring and early warning system and a purification control method, and relates to the technical field of environmental protection. The system comprises an air quality monitoring module, a warning module and an environment regulation and control equipment module, wherein the air quality monitoring module is connected with the warning module and the environment regulation and control equipment module respectively; the air quality monitoring module is used for collecting various environmental data of preset detection points, sending various environmental data to the early warning module, generating control signals according to comparison results of the various environmental data and first preset thresholds corresponding to the various environmental data, and sending the control signals to the environment regulation and control equipment module; the early warning module is used for generating an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and alarming according to the alarm signal; the environment regulation and control equipment module is used for purifying the environment of a preset detection point according to the control signal. The invention can dynamically monitor the air quality of the expressway toll booth.

Description

Air quality dynamic monitoring and early warning system and purification control method
Technical Field
The invention relates to the technical field of environmental protection, in particular to an air quality dynamic monitoring and early warning system and a purification control method.
Background
With the increase of national economy, the contradiction between the increase of the number of motor vehicles and the increase of the supply of expressway toll stations is increasingly remarkable, and the vehicle flow of toll stations is increased. Due to the factors of slowing down the speed of a vehicle, queuing up, starting the vehicle and the like, a large amount of gaseous pollutants (SO) such as vehicle tail gas, smoke dust, oil stains and the like can be caused after the vehicle enters a charging area 2 、NO 2 、CO、O 3 HCHO) accumulates around highway tollgate; seasonal, morning, evening and morningThe temperature difference affects the thermal comfort of the staff; and Volatile Organic Compounds (VOCs) in the tollgate room, which seriously affect the indoor air quality and thermal comfort of the tollgate.
In recent years, most researches show that the low-temperature plasma purification technology has obvious purification effect on inhalable particles, nitrogen oxides and other airborne pollutants, and can treat automobile exhaust and other harmful gases. However, excessive and blind use of the purifier and the air conditioner cannot realize the air quality in the toll booth in real time, and the thermal comfort in the toll booth is poor and resources are excessively wasted for a long time. Therefore, it is necessary to establish a set of dynamic monitoring and early warning system for the air quality of the highway tolling sentry box with scientificity and universality and a purifying control method thereof.
Disclosure of Invention
The invention aims to provide an air quality dynamic monitoring and early warning system and a purification control method, which can dynamically monitor the air quality of expressway toll booth.
In order to achieve the above object, the present invention provides the following solutions:
an air quality dynamic monitoring and early warning system, the early warning system comprising: the system comprises an air quality monitoring module, an early warning module and an environment regulation and control equipment module;
the air quality monitoring module is respectively connected with the early warning module and the environment regulation and control equipment module; the air quality monitoring module is used for collecting various environmental data of preset detection points, sending various environmental data to the early warning module, generating control signals according to comparison results of the various environmental data and first preset thresholds corresponding to the various environmental data, and sending the control signals to the environment regulation and control equipment module; the control signal is to turn on preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time;
the early warning module is used for generating an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and alarming according to the alarm signal; the alarm signal comprises qualification, disqualification and optimization;
the environment regulation and control equipment module is used for purifying the environment of the preset detection point according to the control signal.
Optionally, the preset device includes at least one of an air conditioner and a low temperature plasma purifier.
Optionally, the air quality monitoring module comprises a monitoring point sensor module, a real-time data transmission module and an environmental parameter central controller;
the monitoring point sensor module is respectively connected with the real-time data transmission module and the environmental parameter central controller; the monitoring point sensor module is used for collecting various environmental data of a preset detection point;
the real-time data transmission module is connected with the early warning module; the real-time data transmission module is used for transmitting various environmental data to the early warning module;
the environment parameter central controller is connected with the environment regulation and control equipment module; the environmental parameter central controller is used for generating a control signal according to the comparison result of the various environmental data and the first preset threshold corresponding to the various environmental data, and sending the control signal to the environmental regulation and control equipment module.
Optionally, the monitoring point sensor module includes an air quality sensor and an air pollution tester.
Optionally, the early warning module comprises an identification sub-module, an alarm sub-module and a storage sub-module;
the identification sub-module is respectively connected with the alarm sub-module, the storage sub-module and the air quality monitoring module; the identification sub-module is used for determining an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and sending the alarm signal to the storage sub-module and the alarm sub-module;
the alarm sub-module alarms according to the alarm signal;
the storage sub-module is connected with the air quality monitoring module; the storage sub-module is used for storing various environmental data and the alarm signals.
Optionally, the alarm submodule comprises an early warning display unit and an acoustic alarm unit;
the early warning display unit is connected with the identification submodule; the early warning display unit is used for determining display information according to the alarm signal and displaying the display information;
the sound alarm unit is connected with the identification submodule; the sound alarm unit is used for determining voice information according to the alarm signal and broadcasting the voice information.
Optionally, the plurality of environmental data includes temperature, humidity, VOC concentration, HCHO concentration, PM 2.5 Concentration and PM 10 Concentration, SO 2 Concentration, NO 2 Concentration, CO concentration and O 3 Concentration.
An air purification control method is applied to the air quality dynamic monitoring and early warning system, and the method comprises the following steps:
acquiring various environmental data of a preset detection point;
comparing the various environmental data with a first preset threshold corresponding to the various environmental data to obtain a comparison result;
generating a control signal according to the comparison result; the control signal is to turn on the preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the invention, the indoor air quality grade is observed at any time through the early warning system, when the indoor air quality does not reach the standard, the environment regulation equipment module can rapidly react, the indoor air quality meets the standard in time under the intervention of the environment regulation equipment module, and the staff can efficiently work in the space with thermal comfort under the condition of not wasting resources excessively.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of an air quality dynamic monitoring and early warning system provided by the invention;
FIG. 2 is a flow chart of the air quality dynamic monitoring and early warning system provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide an air quality dynamic monitoring and early warning system and a purification control method, which can dynamically monitor the air quality of expressway toll booth.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
As shown in fig. 1 and 2, the present invention provides an air quality dynamic monitoring and early warning system, which includes: the system comprises an air quality monitoring module, an early warning module and an environment regulation and control equipment module.
The air quality monitoring module is respectively connected with the early warning module and the environment regulation and control equipment module; the air quality monitoring module is used for collecting various environmental data of preset detection points, sending various environmental data to the early warning module, generating control signals according to comparison results of the various environmental data and first preset thresholds corresponding to the various environmental data, and sending the control signals to the environment regulation and control equipment module; the control signal is to turn on the preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time.
The early warning module is used for generating an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and alarming according to the alarm signal; the alarm signal comprises qualification, disqualification and superiority.
The environment regulation and control equipment module is used for purifying the environment of the preset detection point according to the control signal.
In practical application, the highway toll booth air quality dynamic monitoring and early warning system comprises a toll booth air quality dynamic monitoring system (A), an early warning system (B) and an environment regulation and control equipment module (C), wherein the three systems form a whole. The air quality dynamic monitoring and early warning system and the purification control module are composed as shown in figure 1. In the invention, the charging sentry box air quality dynamic monitoring system (A) refers to an air quality monitoring module, the early warning system (B) refers to an early warning module, and the equipment module (C) refers to an environment regulation equipment module.
As a specific embodiment, the air quality monitoring module includes a monitoring point sensor module, a real-time data transmission module, and an environmental parameter central controller.
The monitoring point sensor module is respectively connected with the real-time data transmission module and the environmental parameter central controller; the monitoring point sensor module is used for collecting various environmental data of a preset detection point.
The real-time data transmission module is connected with the early warning module; the real-time data transmission module is used for transmitting various environmental data to the early warning module.
The environment parameter central controller is connected with the environment regulation and control equipment module; the environmental parameter central controller is used for generating a control signal according to the comparison result of the various environmental data and the first preset threshold corresponding to the various environmental data, and sending the control signal to the environmental regulation and control equipment module.
In practical application, the highway toll booth air quality dynamic monitoring system (A) comprises a monitoring point sensor module (A1), a real-time data transmission module (A2) and an environmental parameter central controller (A3); the equipment module (C) comprises an air conditioner (C1) and a low-temperature plasma purifier (C2).
The monitoring point sensor module (A1) consists of a QD-G3 type all-in-one air quality sensor (X) and an all-in-one portable air pollution tester (Y). Wherein the QD-G3 type all-in-one air quality sensor (X) can measure the indoor temperature (X) of the toll booth a ) Humidity (X) b ) VOC concentration (X) c ) HCHO concentration (X) d )、PM 2.5 Concentration (X) e ) And PM 10 Concentration (X) f ) The SO can be measured by the all-in-one portable air pollution tester (Y) 2 Concentration (Y) a )、NO 2 Concentration (Y) b ) CO concentration (Y) c ) And O 3 Concentration (Y) d )。
The temperature (X) measured by the QD-G3 type all-in-one air quality sensor (X) and the all-in-one portable air pollution tester (Y) in the expressway toll booth room through the monitoring point sensor module (A1) a ) Humidity (X) b ) VOC concentration (X) c ) HCHO concentration (X) d )、PM 2.5 Concentration (X) e )、PM 10 Concentration (X) f )、SO 2 Concentration (Y) a )、NO 2 Concentration (Y) b ) CO concentration (Y) c ) And O 3 Concentration (Y) d ) Automatically transmitting data to an early warning system (B) with a storage function and an environmental parameter central controller (A3) every 1min through a real-time data transmission module (A2). In practical application, the real-time data transmission module (A2) is integrated inside the monitoring point sensor module (A1).
Since World Health Organization (WHO) air quality standard threshold is lower than chinese indoor air quality standard, the two air quality standard thresholds are compared with each other in order to rank the air quality index, in particular, the worldThe health organization (WHO) air quality standard threshold is set to level i and the chinese indoor air quality standard threshold is set to level ii. Because the standard threshold values required will change with economic development and improvement of living environment, the patent replaces the specific threshold values with letters. Meanwhile, in a specific application scene, an air quality judgment threshold value can be set manually according to the needs. Assume that the corresponding air quality standard thresholds are S And S is . The indoor air quality can be divided into three sections according to the difference between each environmental parameter and the standard threshold value: (1) Temperature (X) a ) Humidity (X) b ) Grading: disqualification: x is X i <X Qualified: x is X ≤X i ≤X Disqualification: x is X <X i ) The method comprises the steps of carrying out a first treatment on the surface of the (2) VOC concentration (X) c ) HCHO concentration (X) d )、PM 2.5 Concentration (X) e )、PM 10 Concentration (X) f ) The grading is as follows: x is X i ≤X Qualified: x is X <X i ≤X Disqualification: x is X <X i ;(3)SO 2 Concentration (Y) a )、NO 2 Concentration (Y) b ) CO concentration (Y) c ) And O 3 Concentration (Y) d ) The grading is as follows: y is Y i ≤X Qualified: y is Y <Y i ≤Y Disqualification: y is Y <Y i . Wherein X is i And Y i Is the specific value of the environmental parameter monitored on site, X And Y Threshold value, X, for World Health Organization (WHO) air quality standard And Y Is a threshold value of the indoor air quality standard in China.
The further explanation is as follows:
the invention classifies the air quality index, rather than using one standard, the two standards are combined. The level is a specific value, and two levels can be divided into three sections. The threshold is determined by a rating, which is based on a standard. For example: WHO PM 2.5 Below 25. Mu.g/m 3 Is excellent; china PM 2.5 Below 50. Mu.g/m 3 Is excellent. The invention takes 25 and 50 as demarcation points, namely class I and class II; less than or equal to 25 (I) is preferable; between 25 and 50 is acceptable; and > 50 (II) is disqualified.
As a specific implementation manner, the early warning module comprises an identification sub-module, an alarm sub-module and a storage sub-module.
The identification sub-module is respectively connected with the alarm sub-module, the storage sub-module and the air quality monitoring module; the identification sub-module is used for determining an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and sending the alarm signal to the storage sub-module and the alarm sub-module.
And the alarm sub-module alarms according to the alarm signal.
The storage sub-module is connected with the air quality monitoring module; the storage sub-module is used for storing various environmental data and the alarm signals.
Specifically, the alarm submodule comprises an early warning display unit and an acoustic alarm unit.
The early warning display unit is connected with the identification submodule; the early warning display unit is used for determining display information according to the alarm signal and displaying the display information.
The sound alarm unit is connected with the identification submodule; the sound alarm unit is used for determining voice information according to the alarm signal and broadcasting the voice information.
In practical application, the early warning system (B) receives the air quality index data provided by the real-time data transmission module (A2) for classification and identification:
temperature (Xa): x is X ai ∈{X ai <X aⅠ ,X aⅠ ≤X ai ≤X aⅡ ,X aⅡ <X ai },i=1,2,3,···
Humidity (Xb): x is X bi ∈{X bi <X bⅠ ,X bⅠ ≤X bi ≤X bⅡ ,X bⅡ <X bi },i=1,2,3,···
VOC concentration (Xc): x is X ci ∈{X ci <X cⅠ ,X cⅠ ≤X ci ≤X eⅡ ,X cⅡ <X ci },i=1,2,3,···
Formaldehyde (HCHO) concentration (X d ):X di ∈{X di <X dⅠ ,X dⅠ ≤X di ≤X dⅡ ,X dⅡ <X di },i=1,2,3,···
PM 2.5 Concentration (X) e ):X ei ∈{X ei <X eⅠ ,X eⅠ ≤X ei ≤X eⅡ ,X eⅡ <X ei },i=1,2,3,···
PM 10 Concentration (X) f ):X fi ∈{X fi <X fⅠ ,X fⅠ ≤X fi ≤X fⅡ ,X fⅡ <X fi },i=1,2,3,···
SO 2 Concentration (Y) a ):Y ai ∈{Y ai <Y aⅠ ,Y aⅠ ≤Y ai ≤Y aⅡ ,Y aⅡ <Y ai },i=1,2,3,···
NO 2 Concentration (Y) b ):Y bi ∈{Y bi <Y bⅠ ,Y bⅠ ≤Y bi ≤Y bⅡ ,Y bⅡ <Y bi },i=1,2,3,···
CO concentration (Y) c ):Y ci ∈{Y ci <Y cⅠ ,Y cⅠ ≤Y ci ≤Y cⅡ ,Y cⅡ <Y ci },i=1,2,3,···
O 3 Concentration (Y) d ):Y di ∈{Y di <Y dⅠ ,Y dⅠ ≤Y di ≤Y dⅡ ,Y dⅡ <Y di },i=1,2,3,···
Wherein X is ai 、X bi 、X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di The concentration values are respectively monitored for the site environment at different moments when different air quality indexes change along with time; x is X aⅠ 、X bⅠ 、X cⅠ 、X dⅠ 、X eⅠ 、X fⅠ 、Y aⅠ 、Y bⅠ 、Y cⅠ 、Y dⅠ Standard thresholds for World Health Organization (WHO) for different air environment parameters; x is X aⅡ 、X bⅡ 、X cⅡ 、X dⅡ 、X eⅡ 、X fⅡ 、Y aⅡ 、Y bⅡ 、Y cⅡ 、Y dⅡ Threshold values of different air environment parameters for Chinese indoor air quality standards; the values corresponding to the grades I and II of different air environment indexes are different.
Specifically, the threshold value of the concentration value is different for each item, because the air quality index contains a lot of, for example, temperature and humidity, PM 2.5 、PM 10 Etc., the required values naturally differ from one another.
After recognition, the warning display (B1) and the sound alarm (B2) are carried out according to the following grades:
(1) If the temperature X ai Humidity X bi And if the alarm signal is failed, the alarm indicator lamp is red, and the sound alarm lasts for 5 minutes.
(2) If the temperature X ai Humidity X bi If one of the signals is failed, the early warning is displayed as failed, the warning indicator lamp is yellow, and the voice early warning lasts for 1 minute.
(3) If the temperature X ai Humidity X bi And if the alarm indicator lights are qualified, the alarm indicator lights are green.
(4) For example X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di If one of the signals is failed, the early warning is displayed as failed, the warning indicator lamp is red, and the voice early warning lasts for 5 minutes.
(5) For example X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di And if the alarm signal is qualified, the alarm signal is displayed as qualified, the alarm indicator light is yellow, and the sound alarm lasts for 1 minute.
(5) For example X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di And the alarm indicator lights are green.
In addition, in practical application, the environmental parameter central controller (A3) receives the air quality index data provided by the real-time data transmission module (A2) for classification and identification:
temperature (X) a ):X ai ∈{X ai <X aⅠ ,X aⅠ ≤X ai ≤X aⅡ ,X aⅡ <X ai },i=1,2,3,···
Humidity (X) b ):X bi ∈{X bi <X bⅠ ,X bⅠ ≤X bi ≤X bⅡ ,X bⅡ <X bi },i=1,2,3,···
VOC concentration (X) c ):X ci ∈{X ci <X cⅠ ,X cⅠ ≤X ci ≤X eⅡ ,X cⅡ <X ci },i=1,2,3,···
Formaldehyde (HCHO) concentration (X d ):X di ∈{X di <X dⅠ ,X dⅠ ≤X di ≤X dⅡ ,X dⅡ <X di },i=1,2,3,···
PM 2.5 Concentration (X) e ):X ei ∈{X ei <X eⅠ ,X eⅠ ≤X ei ≤X eⅡ ,X eⅡ <X ei },i=1,2,3,···
PM 10 Concentration (X) f ):X fi ∈{X fi <X fⅠ ,X fⅠ ≤X fi ≤X fⅡ ,X fⅡ <X fi },i=1,2,3,···
SO 2 Concentration (Y) a ):Y ai ∈{Y ai <Y aⅠ ,Y aⅠ ≤Y ai ≤Y aⅡ ,Y aⅡ <Y ai },i=1,2,3,···
NO 2 Concentration (Y) b ):Y bi ∈{Y bi <Y bⅠ ,Y bⅠ ≤Y bi ≤Y bⅡ ,Y bⅡ <Y bi },i=1,2,3,···
CO concentration (Y) c ):Y ci ∈{Y ci <Y cⅠ ,Y cⅠ ≤Y ci ≤Y cⅡ ,Y cⅡ <Y ci },i=1,2,3,···
O 3 Concentration (Y) d ):Y di ∈{Y di <Y dⅠ ,Y dⅠ ≤Y di ≤Y dⅡ ,Y dⅡ <Y di },i=1,2,3,···
Wherein X is ai 、X bi 、X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di The concentration values are respectively monitored for the site environment at different moments when different air quality indexes change along with time; x is X aⅠ 、X bⅠ 、X cⅠ 、X dⅠ 、X eⅠ 、X fⅠ 、Y aⅠ 、Y bⅠ 、Y cⅠ 、Y dⅠ Standard thresholds for World Health Organization (WHO) for different air environment parameters; x is X aⅡ 、X bⅡ 、X cⅡ 、X dⅡ 、X eⅡ 、X fⅡ 、Y aⅡ 、Y bⅡ 、Y cⅡ 、Y dⅡ Is a threshold value of the Chinese indoor air quality standard for different air environment parameters.
After recognition, the control of the device module (C) is performed according to the following hierarchy:
(1) If the temperature X ai Humidity X bi And if the air conditioner is failed, the air conditioner (C1) is started.
(2) If the temperature X ai Humidity X bi If one of the two is failed, the air conditioner (C1) is started.
(3) If the temperature isX ai Humidity X bi And if the air conditioner is qualified, the air conditioner is turned off or not turned on (C1), and monitoring is continued.
(4) For example X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di One of them is "failed", the low temperature plasma purifier (C2) is turned on.
(5) For example X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di And if the low-temperature plasma purifier is qualified or excellent, the low-temperature plasma purifier (C2) is closed or not opened, and monitoring is continued.
If the temperature and humidity data reach the standard, continuing to monitor; on the contrary, the air conditioner (C1) under the equipment module (C) receives the signal and automatically starts the temperature (X) of the room a ) And humidity (X) b ) And adjusting. If the air quality index reaches the standard, continuing to monitor; conversely, air pollution parameter X ci 、X di 、X ei 、X fi 、Y ai 、Y bi 、Y ci 、Y di The low-temperature plasma purifier (C2) under the equipment module (C) receives signals and is automatically started, namely, if any one of the air quality indexes is not up to standard, the low-temperature plasma purifier is started; and purifying out the pollutant exceeding the standard in the toll booth. Whether through the air conditioner (C1) or the low-temperature plasma purifier (C2), the processed environmental parameters are continuously monitored through the monitoring point sensor module (A1).
Example two
In order to implement a system corresponding to the above embodiment to achieve the corresponding functions and technical effects, an air purification control method is provided below, the method comprising:
and acquiring various environmental data of the preset detection point.
And comparing the various environmental data with a first preset threshold corresponding to the various environmental data to obtain a comparison result.
Generating a control signal according to the comparison result; the control signal is to turn on the preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time.
In practical application, when the air quality index exceeds the standard, the air conditioner (C1) or the low-temperature plasma purifier (C2) is automatically turned off after automatically running sigma min, and if the monitored air quality index still exceeds the standard during the running period t time (t < sigma), the air conditioner is automatically turned off after the running time (t+sigma), and the like. The parameter t is a time variable, compared to sigma time. Examples: if sigma is 30min, t is between 0min and 30min, and when the device runs for 25min, the air quality is still out of standard, and 25min+30min is 25min to 55 min. The air conditioner (C1) and the low-temperature plasma purifier (C2) are prevented from being started for a long time, and energy sources are saved. The sigma formula is as follows: (Unit: min)
Wherein x is 1 ,x 2 ,x 3 The length, the width and the height of the toll booth are respectively as follows: m; v (V) C1 ,V C2 The unit is the air outlet rate of the air conditioner (C1) and the air outlet rate of the low-temperature plasma purifier (C2): l/min.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.

Claims (8)

1. An air quality dynamic monitoring and early warning system, characterized in that the early warning system comprises: the system comprises an air quality monitoring module, an early warning module and an environment regulation and control equipment module;
the air quality monitoring module is respectively connected with the early warning module and the environment regulation and control equipment module; the air quality monitoring module is used for collecting various environmental data of preset detection points, sending various environmental data to the early warning module, generating control signals according to comparison results of the various environmental data and first preset thresholds corresponding to the various environmental data, and sending the control signals to the environment regulation and control equipment module; the control signal is to turn on preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time;
the early warning module is used for generating an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and alarming according to the alarm signal; the alarm signal comprises qualification, disqualification and optimization;
the environment regulation and control equipment module is used for purifying the environment of the preset detection point according to the control signal.
2. The dynamic air quality monitoring and early warning system of claim 1, wherein the predetermined device comprises at least one of an air conditioner and a low temperature plasma purifier.
3. The air quality dynamic monitoring and early warning system according to claim 1, wherein the air quality monitoring module comprises a monitoring point sensor module, a real-time data transmission module and an environmental parameter central controller;
the monitoring point sensor module is respectively connected with the real-time data transmission module and the environmental parameter central controller; the monitoring point sensor module is used for collecting various environmental data of a preset detection point;
the real-time data transmission module is connected with the early warning module; the real-time data transmission module is used for transmitting various environmental data to the early warning module;
the environment parameter central controller is connected with the environment regulation and control equipment module; the environmental parameter central controller is used for generating a control signal according to the comparison result of the various environmental data and the first preset threshold corresponding to the various environmental data, and sending the control signal to the environmental regulation and control equipment module.
4. The dynamic air quality monitoring and early warning system of claim 3, wherein the monitoring point sensor module comprises an air quality sensor and an atmospheric pollution tester.
5. The air quality dynamic monitoring and early warning system according to claim 1, wherein the early warning module comprises an identification sub-module, an alarm sub-module and a storage sub-module;
the identification sub-module is respectively connected with the alarm sub-module, the storage sub-module and the air quality monitoring module; the identification sub-module is used for determining an alarm signal according to various environmental data and comparison results of a second preset threshold corresponding to the various environmental data, and sending the alarm signal to the storage sub-module and the alarm sub-module;
the alarm sub-module alarms according to the alarm signal;
the storage sub-module is connected with the air quality monitoring module; the storage sub-module is used for storing various environmental data and the alarm signals.
6. The air quality dynamic monitoring and early warning system according to claim 5, wherein the alarm submodule comprises an early warning display unit and an acoustic alarm unit;
the early warning display unit is connected with the identification submodule; the early warning display unit is used for determining display information according to the alarm signal and displaying the display information;
the sound alarm unit is connected with the identification submodule; the sound alarm unit is used for determining voice information according to the alarm signal and broadcasting the voice information.
7. The dynamic air quality monitoring and early warning system according to claim 1, wherein the plurality of environmental data includes temperature, humidity, VOC concentration, HCHO concentration, PM 2.5 Concentration and PM 10 Concentration, SO 2 Concentration, NO 2 Concentration, CO concentration and O 3 Concentration.
8. An air purification control method applied to the air quality dynamic monitoring and early warning system according to any one of claims 1 to 7, characterized in that the method comprises the following steps:
acquiring various environmental data of a preset detection point;
comparing the various environmental data with a first preset threshold corresponding to the various environmental data to obtain a comparison result;
generating a control signal according to the comparison result; the control signal is to turn on the preset equipment and turn off the preset equipment or not turn on the preset equipment after the preset equipment is continuously operated for a set time.
CN202311443122.3A 2023-11-01 2023-11-01 Air quality dynamic monitoring and early warning system and purification control method Pending CN117490192A (en)

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