CN113588503A - Oil smoke online monitoring system for catering operation environment - Google Patents
Oil smoke online monitoring system for catering operation environment Download PDFInfo
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- CN113588503A CN113588503A CN202110789858.0A CN202110789858A CN113588503A CN 113588503 A CN113588503 A CN 113588503A CN 202110789858 A CN202110789858 A CN 202110789858A CN 113588503 A CN113588503 A CN 113588503A
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- 239000000779 smoke Substances 0.000 title claims abstract description 113
- 238000012544 monitoring process Methods 0.000 title claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 81
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000000149 argon plasma sintering Methods 0.000 claims abstract description 19
- 239000002245 particle Substances 0.000 claims description 12
- 238000013500 data storage Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 5
- 239000006233 lamp black Substances 0.000 claims description 5
- 230000010267 cellular communication Effects 0.000 claims description 4
- 230000001413 cellular effect Effects 0.000 claims description 4
- 238000007418 data mining Methods 0.000 claims description 4
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 3
- 229910052744 lithium Inorganic materials 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 239000004973 liquid crystal related substance Substances 0.000 claims description 2
- 235000013361 beverage Nutrition 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 abstract description 2
- 230000000007 visual effect Effects 0.000 abstract description 2
- 230000003287 optical effect Effects 0.000 abstract 1
- 239000003921 oil Substances 0.000 description 87
- 235000019198 oils Nutrition 0.000 description 87
- 239000003517 fume Substances 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 150000001491 aromatic compounds Chemical class 0.000 description 2
- 238000010411 cooking Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 150000002391 heterocyclic compounds Chemical class 0.000 description 2
- 239000003595 mist Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000012855 volatile organic compound Substances 0.000 description 2
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 150000001299 aldehydes Chemical class 0.000 description 1
- 150000001335 aliphatic alkanes Chemical class 0.000 description 1
- 150000001336 alkenes Chemical class 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000010775 animal oil Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000711 cancerogenic effect Effects 0.000 description 1
- 231100000315 carcinogenic Toxicity 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
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- 235000014113 dietary fatty acids Nutrition 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 229930195729 fatty acid Natural products 0.000 description 1
- 239000000194 fatty acid Substances 0.000 description 1
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- 238000005065 mining Methods 0.000 description 1
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- JRZJOMJEPLMPRA-UHFFFAOYSA-N olefin Natural products CCCCCCCC=C JRZJOMJEPLMPRA-UHFFFAOYSA-N 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- 239000013618 particulate matter Substances 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
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- Computer Networks & Wireless Communication (AREA)
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
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Abstract
The invention provides an oil smoke online monitoring system for a catering operation environment, which comprises an Internet of things cloud platform and a plurality of intelligent oil smoke monitoring terminals arranged in the catering operation environment, wherein the intelligent noise detecting terminals and a monitoring center adopt NB-IOT wireless communication; the intelligent noise detection terminal comprises a control unit, a display module, a power management module, a communication module and an optical detection module; all oil smoke monitoring terminal data are collected to the Internet of things cloud platform, and visual display, analysis, monitoring, alarming and the like of oil smoke data of streets, regions or even whole city catering operation environments are achieved through the Internet of things cloud platform. The main advantages of the invention are: firstly, based on the light scattering detection technology, the data is reliable and accurate. And secondly, by combining computer technologies such as an internet of things cloud platform and the like, data sharing can be conveniently realized, a data island is broken, and the data sharing system can become one of data sources of platforms such as smart cities.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of online monitoring of oil smoke in catering operation environments, in particular to an online oil smoke monitoring system for catering operation environments.
[ background of the invention ]
Along with the increasing frequency of urbanization and people communication in China, the catering industry is promoted to develop vigorously, and meanwhile, the pollution of oil smoke to air in the catering industry is also increased seriously. The particle size of the oil fume particles is generally solid particles or liquid drops with the particle size range of 0.1-10 microns; because of the characteristics of small particle size, strong adhesion, easy diffusion and the like, the formed oil fume has large pollution amount, wide surface, strong low-altitude diffusivity and great harm to human bodies.
Scientific research has already confirmed that the components of catering oil fume are extremely complex, more than 300 components are detected, firstly, oil mist generated by animal and vegetable oil during cooking and products of oxidative cracking of the oil mist at high temperature mainly comprise aromatic compounds and heterocyclic compounds such as fatty acid, alkane, olefin, aldehyde, ketone, alcohol, ester and the like, and at least dozens of the aromatic compounds and heterocyclic compounds are harmful to human health; the second is the pollutants produced by the combustion of fuel, such as SO2, CO, NOx and suspended particulate matter.
A large amount of volatile organic compounds contained in the oil smoke are cooled in the air and can be synthesized into PM2.5, and the concentration of local pollutants is increased. The oil smoke in the catering industry, industrial waste gas and motor vehicle tail gas are listed as three killers of atmospheric pollution.
The oil fume becomes one of the main factors influencing the operation environment of the catering industry, and if the oil fume cannot be effectively monitored, the body health of staff in the catering industry can be seriously damaged; research shows that particulate matters and volatile organic compounds in the oil smoke have great harm to the respiratory system, the liver function and the like of a human body, and carcinogenic substances can be generated when the cooking temperature reaches 230-280 ℃.
Because the oil fume in the catering industry is discharged in stages, the discharge time is concentrated, and the traditional handheld or portable detection method is difficult to meet the requirement of monitoring on an operation site; and some oil smoke detection still adopts electrochemical sensors or smoke sensors, the measurement sensitivity is low, the accuracy is not high, and the requirement of occupational health monitoring is difficult to meet.
[ summary of the invention ]
The invention aims to solve the technical problems that in the prior art, oil smoke detection is inconvenient, detection precision is low and the like, and provides a catering operation environment oil smoke monitoring system based on NB-IoT wireless communication and an Internet of things cloud platform.
In order to achieve the purpose, the invention provides the following technical scheme:
an oil smoke online monitoring system for catering operation environments comprises a plurality of intelligent oil smoke detection terminals, an Internet of things cloud platform and a user client, wherein the intelligent oil smoke detection terminals, the Internet of things cloud platform and the user client are arranged in the operation environments;
the intelligent oil smoke detection terminal realizes detection of oil smoke concentration in catering operation environment and storage, display and uploading of oil smoke data to the Internet of things cloud platform;
the Internet of things cloud platform realizes flexible real-time access of data of intelligent oil smoke terminal equipment in the system, and realizes intelligent monitoring, big data analysis and mining, data exchange and sharing and platform monitoring management functions;
the user client comprises a mobile phone, a PAD, a computer, a large monitoring screen and other equipment, and can remotely acquire oil smoke data of an operating environment, overrun warning, an area oil smoke entropy value, a detection terminal, system parameter setting and other functions in real time through an APP or a Web browser and the like;
the intelligent oil smoke detection terminal is accessed to the Internet of things cloud platform through an MQTT protocol in an NB-Iot wireless communication mode.
The oil smoke online monitoring system is composed of an Internet of things cloud platform (an Internet of things service provider platform, a service provider and the like), an intelligent oil smoke detection terminal and a client (a mobile phone, a PAD (PAD application program), a computer, a monitoring large screen and the like); a plurality of intelligent oil smoke detection terminals are arranged in a catering operation environment, real-time monitoring data are sent to an internet of things cloud platform, and the data are sent to a client through functions of big data analysis mining, data exchange sharing and the like.
As a preferable scheme of the invention, the intelligent lampblack detection terminal comprises a control unit, a human-computer interface module, a power supply module, a data storage module, a communication module and a light scattering lampblack detection unit. The control unit of the scheme is respectively connected with a human-computer interface module (or a human-computer interaction module), a power supply module, a data storage module (FLASH), a communication module and a light scattering oil smoke detection unit (module), the control unit reads data from the data storage module after being powered on, the light scattering oil smoke detection unit is started after parameter indexes are set by the human-computer interface module, and the light scattering oil smoke detection unit transmits real-time monitoring data to the control unit for processing and then transmits the data to the Internet of things cloud platform through the communication module.
As the preferable scheme of the invention, the control unit adopts a 32-bit ARM processor. The control unit of the scheme adopts an STM32F103RD microprocessor.
As a preferable scheme of the invention, the light scattering oil smoke detection unit consists of a laser, a beam expander, a photoelectric detection unit, a signal processing circuit and an oil smoke detection cavity. The light scattering oil smoke detecting element of this scheme is when real-time supervision, and the oil smoke detects the intracavity through the beam expander is penetrated into to the laser that the laser produced, and laser produces the scattering after meetting oil smoke detection intracavity oil smoke particle, then detects the photoelectric detection unit (including photodiode), the signal processing circuit of chamber opposite side by being located the oil smoke and monitors and data processing to scattering laser to give the control unit with monitoring data transmission.
As a preferable scheme of the invention, the human-computer interface module is an input/output interface of the intelligent oil smoke detection terminal and comprises keys and an LCD screen.
As a preferred embodiment of the present invention, the power module includes a lithium battery and a power management circuit.
As a preferable scheme of the invention, the communication module adopts an NB-IoT module to realize low-power-consumption cellular data connection, and realizes communication with an internet-of-things cloud platform through a cellular communication base station supporting NB-IoT.
As a preferable scheme of the invention, the data storage module realizes the storage of instrument and system parameters and oil smoke detection data.
As a preferred embodiment of the present invention, the light scattering oil smoke detection unit is based on a side scattering light convergence method, and irradiates a beam of laser light with a broadened wavelength to an oil smoke detection chamber, wherein oil smoke particles in the detection chamber scatter the laser beam, scattered light is scattered in multiple directions, scattered light in a side direction is collected and converged to a photodetector mounted on the other side to measure the scattered light intensity, and the scattered light intensity is in a direct proportion to the amount of the oil smoke particles.
As the preferable scheme of the invention, the oil smoke detection cavity comprises a sample air inlet, a clean air inlet and an air outlet. The oil smoke detection sample air inlet is an introducing port of a sample (namely air in a catering operation environment) inspected by an oil smoke intelligent detection terminal; the oil smoke detection cavity is used for cleaning an air inlet, air in an operating environment is filtered by a filter element to remove oil smoke and then enters the oil smoke detection cavity, and the air inlet is used for zero point calibration of the intelligent oil smoke detection terminal; the sample air inlet and the clean air inlet of the oil smoke detection cavity are respectively connected with an air pump which is independently controlled.
Compared with the prior art, the invention has the beneficial effects that: the internet of things cloud platform can realize visual display, analysis, monitoring, alarming and the like of oil fume data of catering operation environments in streets, regions or even whole cities, and has the main advantages that: firstly, data are reliable and accurate based on a light scattering detection technology; and secondly, by combining computer technologies such as an internet of things cloud platform and the like, data sharing can be conveniently realized, a data island is broken, and the data sharing system can become one of data sources of platforms such as smart cities.
[ description of the drawings ]
FIG. 1 is a schematic diagram of a system configuration according to the present invention.
Fig. 2 is a schematic diagram of an overall structure of the intelligent lampblack detection terminal.
Fig. 3 is a schematic structural diagram of the light scattering oil smoke detection unit of the present invention.
[ detailed description ] embodiments
While several embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings, in order to facilitate an understanding of the invention, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed to provide a more complete disclosure of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the terms used herein in the specification of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the present invention, and the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1-3, the present invention provides a technical solution:
an oil smoke online monitoring system for a catering operation environment comprises a plurality of intelligent oil smoke detection terminals, an Internet of things cloud platform and a user client, wherein the intelligent oil smoke detection terminals, the Internet of things cloud platform and the user client are arranged in the operation environment; the intelligent oil smoke detection terminal realizes detection of oil smoke concentration in catering operation environment and storage, display and uploading of oil smoke data to the Internet of things cloud platform; the cloud platform of the Internet of things realizes flexible real-time access of data of intelligent oil smoke terminal equipment in the system, and realizes the functions of intelligent monitoring, big data analysis and mining, data exchange and sharing and platform monitoring management; the user client comprises a mobile phone, a PAD, a computer, a large monitoring screen and other equipment, and can remotely acquire oil smoke data of an operating environment, overrun warning, an area oil smoke entropy value, a detection terminal, system parameter setting and other functions in real time through an APP or a Web browser and the like; the intelligent oil smoke detection terminal is accessed to an Internet of things cloud platform through an MQTT protocol in an NB-Iot wireless communication mode;
the intelligent oil smoke detection terminal comprises a control unit, a human-computer interface module, a power supply module, a data storage module, a communication module and a light scattering oil smoke detection unit;
the control unit adopts a 32-bit ARM processor;
the light scattering oil smoke detection unit consists of a laser, a beam expander, a photoelectric detection unit, a signal processing circuit and an oil smoke detection cavity;
the human-computer interface module is an input/output interface of the intelligent oil smoke detection terminal and comprises keys and an LCD (liquid crystal display);
the power supply module comprises a lithium battery and a power supply management circuit;
the communication module adopts an NB-IoT module to realize low-power-consumption cellular data connection, and realizes communication with an Internet of things cloud platform through a cellular communication base station supporting NB-IOT;
the data storage module realizes the storage of instrument and system parameters and oil smoke detection data;
the light scattering oil smoke detection unit is based on a side scattering light convergence method, a laser beam with a beam of expanded wavelength is irradiated to an oil smoke detection cavity, oil smoke particles in the detection cavity enable the laser beam to scatter, scattered light is scattered in multiple directions, scattered light in the side direction is collected and converged to a photoelectric detector arranged on the other side to measure the scattered light intensity, and the scattered light intensity is in direct proportion to the amount of the oil smoke particles;
the oil smoke detection cavity comprises a sample air inlet, a clean air inlet and an air outlet.
Before the light scattering oil smoke detection unit is used, firstly, zero calibration is carried out, namely clean air is sent into an oil smoke detection cavity from a clean air inlet by using a clean air suction pump, then, a laser is started, and laser scattering data in the clean air is obtained by a photoelectric detection unit and a signal processing circuit and is transmitted to a control unit for storage;
when the real-time monitoring is formally started, the control unit is powered on, then data are read from the data storage module, the human-computer interface module is used for setting parameter indexes, then the light scattering oil smoke detection unit is started, an oil smoke sample air suction pump is used for sending oil smoke into the oil smoke monitoring cavity from an oil smoke detection sample air inlet, then a laser is started, the photoelectric detection unit and the signal processing circuit are used for obtaining real-time laser scattering data in the oil smoke, the light scattering oil smoke detection unit is used for sending the real-time monitoring data to the control unit for processing, then the real-time monitoring data are sent to the communication module, the NB-IoT module is adopted for realizing low-power consumption cellular data connection, the data are sent to the Internet of things cloud platform through the cellular communication base station supporting NB-IOT for realizing the communication with the Internet of things cloud platform, and the Internet of things cloud platform is used for sending the data to a client through the functions of large data analysis and mining, data exchange and sharing and the like, for customer reference.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides an oil smoke on-line monitoring system for food and beverage operation environment which characterized in that:
the oil smoke online monitoring system comprises a plurality of intelligent oil smoke detection terminals, an Internet of things cloud platform and a user client, wherein the intelligent oil smoke detection terminals, the Internet of things cloud platform and the user client are arranged in an operating environment;
the intelligent oil smoke detection terminal realizes detection of oil smoke concentration in catering operation environment and storage, display and uploading of oil smoke data to the Internet of things cloud platform;
the Internet of things cloud platform realizes flexible real-time access of data of intelligent oil smoke terminal equipment in the system, and realizes intelligent monitoring, big data analysis and mining, data exchange and sharing and platform monitoring management functions;
the user client comprises but is not limited to a mobile phone, a PAD, a computer and large monitoring screen equipment, and can remotely acquire oil smoke data of an operating environment, overrun warning, a regional oil smoke entropy value, a detection terminal and a system parameter setting function in real time through an APP or a Web browser;
the intelligent oil smoke detection terminal is accessed to the Internet of things cloud platform through an MQTT protocol in an NB-Iot wireless communication mode.
2. The oil smoke on-line monitoring system for catering working environment according to claim 1, characterized in that: the intelligent lampblack detection terminal comprises a control unit, a human-computer interface module, a power supply module, a data storage module, a communication module and a light scattering lampblack detection unit.
3. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the control unit adopts a 32-bit ARM processor.
4. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the light scattering oil smoke detection unit consists of a laser, a beam expander, a photoelectric detection unit, a signal processing circuit and an oil smoke detection cavity.
5. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the human-computer interface module is an input/output interface of the intelligent oil smoke detection terminal and comprises keys and an LCD (liquid crystal display).
6. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the power module comprises a lithium battery and a power management circuit.
7. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the communication module adopts an NB-IoT module to realize low-power-consumption cellular data connection, and realizes communication with the Internet of things cloud platform through a cellular communication base station supporting NB-IOT.
8. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the data storage module realizes the storage of instrument and system parameters and oil smoke detection data.
9. The oil smoke on-line monitoring system for catering working environment according to claim 2, characterized in that: the light scattering oil smoke detection unit is based on a side scattering light convergence method, a laser beam with a beam of expanded wavelength is irradiated to an oil smoke detection cavity, oil smoke particles in the detection cavity enable the laser beam to be scattered, scattered light is scattered in multiple directions, scattered light in the side direction is collected and converged to a photoelectric detector arranged on the other side to measure scattered light intensity, and the scattered light intensity and the oil smoke particle amount are in a direct proportion relation.
10. The oil smoke on-line monitoring system for catering working environment according to claim 4, characterized in that: the oil smoke detection cavity comprises a sample air inlet, a clean air inlet and an air outlet.
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