CN110895153A - Environment artificial intelligence detection method with alarm function - Google Patents
Environment artificial intelligence detection method with alarm function Download PDFInfo
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- CN110895153A CN110895153A CN201811061080.6A CN201811061080A CN110895153A CN 110895153 A CN110895153 A CN 110895153A CN 201811061080 A CN201811061080 A CN 201811061080A CN 110895153 A CN110895153 A CN 110895153A
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses an environment artificial intelligence detection method with an alarm function, which comprises the following steps: s1: establishing a remote monitoring service system; s2: associating with a server; s3: selecting a hardware mechanism module; s4: installing a hardware mechanism module; s5: constructing a central point; s6: displaying the environmental parameters; s7: alarming in case of excess value; s8: and (5) the server transmits and stores. The artificial intelligent detection method for the environment is strictly controlled, a good warning effect can be achieved through an added warning function, detection managers can conveniently and quickly make judgment, the intelligent detection is convenient and quick to process, intelligent detection is achieved, power supply modes of the single chip microcomputer and the hardware mechanism module are both achieved through the fact that the solar photovoltaic panel component is matched with the storage battery pack to supply power, energy is saved, environment is protected, the hardware mechanism module of the detection method is installed in a regular hexagon honeycomb mode, the detection position can be completely covered, and the artificial intelligent detection method for the environment is suitable for wide popularization.
Description
Technical Field
The invention relates to the technical field of environment detection, in particular to an artificial intelligent environment detection method with an alarm function.
Background
The natural environment refers to an environment that naturally exists without being modified by human processing, and is a sum of various objective natural factors. The natural environment of human life can be divided into atmospheric environment, water environment, soil environment, geological environment, biological environment and the like according to environmental elements, and mainly refers to five great circles of the earth, namely atmospheric circle, water circle, soil circle, rock circle and biological circle. In the natural environment detection process, an environment monitoring network is designed by utilizing a GIS technology, the information collected by the environment monitoring can be timely stored and displayed through the GIS, and the selected evaluation area is subjected to detailed site monitoring and analysis.
The existing environment intelligent detection method does not have an alarm function, is inconvenient to rapidly process, influences timeliness, is limited in detection range, is not energy-saving and environment-friendly enough in a detection hardware mechanism, and is not suitable for popularization and use.
Disclosure of Invention
The invention aims to provide an environment artificial intelligence detection method with an alarm function, which can play a good role in warning, is convenient for detection managers to make judgments quickly, is convenient and quick to process, is energy-saving and environment-friendly, and can realize complete coverage of detection positions so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: an environment artificial intelligence detection method with an alarm function comprises the following steps:
s1: establishing a remote monitoring service system, and accessing a computer to a network system and recording the computer into a database server;
s2: the server is associated, a remote monitoring service system and an alarm fire-fighting system are associated by adopting a local area network, and an alarm module is arranged;
s3: selecting a hardware mechanism module, and selecting a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module for an intelligent detection mechanism of the environment;
s4: installing a hardware mechanism module, namely installing a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module in S3 at detection positions;
s5: building a central point, namely using the singlechip STC12C5A60S2 as a system building central point, and associating a hardware mechanism module in S4 with the singlechip;
s6: displaying environmental parameters, displaying the current environmental temperature and humidity, light intensity, PM2.5 concentration and sensing flame in real time through a set display mechanism;
s7: the alarm module is used for associating with the hardware mechanism module respectively, and when the alarm module exceeds a set limit value, the alarm module transmits information to a remote monitoring service system through a GPRS and a wireless transmitter;
s8: the server transmits and stores the information, the remote monitoring service system transmits the information to the alarm fire-fighting system through the network, the alarm module is triggered to alarm, and meanwhile, the data server records and stores the data information.
Preferably, the database server in step S1 includes a processor, a hard disk, a memory, and a system bus.
Preferably, in step S4, the hardware mechanism modules are installed in a grouping manner, each group of installation manners is installed in a regular hexagonal honeycomb manner, and the spacing distance is designed to be 30-50 m.
Preferably, the power supply modes of the single chip microcomputer and the hardware mechanism module in the step S5 both adopt a power supply mode of the solar photovoltaic panel assembly and the storage battery pack to supply power, the voltage working range of the single chip microcomputer is 3.3-5.5V, and the voltage working range of the hardware mechanism module is 3-30V.
Preferably, the display mechanism in step S6 uses an LCD1602 display screen.
Preferably, the WT588D voice chip alarm device adopted by the alarm module in the step S7 is controlled in any one of key control, one-line serial port control and three-line serial port control.
Compared with the prior art, the invention has the beneficial effects that: according to the environment artificial intelligence detection method, the alarm function is added, a good warning effect can be achieved, detection managers can make judgment quickly and conveniently, processing is conducted quickly, temperature and humidity in the environment, light intensity, PM2.5 concentration and sensing flame are combined organically through the hardware mechanism module, intelligent detection is achieved, power supply modes of the single chip microcomputer and the hardware mechanism module are powered through the solar photovoltaic panel assembly and the storage battery pack, energy is saved, environment is protected, the hardware mechanism module of the detection method is installed in the regular hexagon honeycomb mode, all coverage of detection positions can be achieved, and the environment artificial intelligence detection method is suitable for wide popularization.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
An environment artificial intelligence detection method with an alarm function comprises the following steps:
s1: establishing a remote monitoring service system, and accessing a computer to a network system and recording the computer into a database server;
s2: the server is associated, a remote monitoring service system and an alarm fire-fighting system are associated by adopting a local area network, and an alarm module is arranged;
s3: selecting a hardware mechanism module, and selecting a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module for an intelligent detection mechanism of the environment;
s4: installing a hardware mechanism module, namely installing a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module in S3 at detection positions;
s5: building a central point, namely using the singlechip STC12C5A60S2 as a system building central point, and associating a hardware mechanism module in S4 with the singlechip;
s6: displaying environmental parameters, displaying the current environmental temperature and humidity, light intensity, PM2.5 concentration and sensing flame in real time through a set display mechanism;
s7: the alarm module is used for associating with the hardware mechanism module respectively, and when the alarm module exceeds a set limit value, the alarm module transmits information to a remote monitoring service system through a GPRS and a wireless transmitter;
s8: the server transmits and stores the information, the remote monitoring service system transmits the information to the alarm fire-fighting system through the network, the alarm module is triggered to alarm, and meanwhile, the data server records and stores the data information.
The database server in the step S1 includes a processor, a hard disk, a memory, and a system bus, the hardware mechanism modules in the step S4 are installed in a grouping manner, each group of installation manners are installed in a regular hexagonal honeycomb manner, the interval distance is designed to be 30m, the power supply manners of the single chip microcomputer and the hardware mechanism modules in the step S5 are both power supply manners in which a solar photovoltaic panel assembly is matched with a storage battery pack, the voltage of the single chip microcomputer is 3.3V, the voltage of the hardware mechanism modules is 3V, the display mechanism in the step S6 is an LCD1602 display screen, the alarm module in the step S7 is a WT588D voice chip alarm device, and the control manner of the WT588D voice chip alarm device is any one of key control, one-line serial port control, and three-line serial port control.
Example 2
An environment artificial intelligence detection method with an alarm function comprises the following steps:
s1: establishing a remote monitoring service system, and accessing a computer to a network system and recording the computer into a database server;
s2: the server is associated, a remote monitoring service system and an alarm fire-fighting system are associated by adopting a local area network, and an alarm module is arranged;
s3: selecting a hardware mechanism module, and selecting a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module for an intelligent detection mechanism of the environment;
s4: installing a hardware mechanism module, namely installing a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module in S3 at detection positions;
s5: building a central point, namely using the singlechip STC12C5A60S2 as a system building central point, and associating a hardware mechanism module in S4 with the singlechip;
s6: displaying environmental parameters, displaying the current environmental temperature and humidity, light intensity, PM2.5 concentration and sensing flame in real time through a set display mechanism;
s7: the alarm module is used for associating with the hardware mechanism module respectively, and when the alarm module exceeds a set limit value, the alarm module transmits information to a remote monitoring service system through a GPRS and a wireless transmitter;
s8: the server transmits and stores the information, the remote monitoring service system transmits the information to the alarm fire-fighting system through the network, the alarm module is triggered to alarm, and meanwhile, the data server records and stores the data information.
The database server in the step S1 includes a processor, a hard disk, a memory, and a system bus, the hardware mechanism modules in the step S4 are installed in a grouped manner, each group of installation manners are installed in a regular hexagon honeycomb manner, the interval distance is designed to be 40m, the power supply manners of the single chip microcomputer and the hardware mechanism modules in the step S5 are both power supply manners in which a solar photovoltaic panel assembly is matched with a storage battery pack, the voltage of the single chip microcomputer is 4.4V, the voltage of the hardware mechanism modules is 11.5V, the display mechanism in the step S6 adopts an LCD1602 display screen, the alarm module in the step S7 adopts a WT588D voice chip alarm device, and the control manner of the WT588D voice chip alarm device is any one of key control, one-line serial port control, and three-line serial port control.
Example 3
An environment artificial intelligence detection method with an alarm function comprises the following steps:
s1: establishing a remote monitoring service system, and accessing a computer to a network system and recording the computer into a database server;
s2: the server is associated, a remote monitoring service system and an alarm fire-fighting system are associated by adopting a local area network, and an alarm module is arranged;
s3: selecting a hardware mechanism module, and selecting a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module for an intelligent detection mechanism of the environment;
s4: installing a hardware mechanism module, namely installing a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module in S3 at detection positions;
s5: building a central point, namely using the singlechip STC12C5A60S2 as a system building central point, and associating a hardware mechanism module in S4 with the singlechip;
s6: displaying environmental parameters, displaying the current environmental temperature and humidity, light intensity, PM2.5 concentration and sensing flame in real time through a set display mechanism;
s7: the alarm module is used for associating with the hardware mechanism module respectively, and when the alarm module exceeds a set limit value, the alarm module transmits information to a remote monitoring service system through a GPRS and a wireless transmitter;
s8: the server transmits and stores the information, the remote monitoring service system transmits the information to the alarm fire-fighting system through the network, the alarm module is triggered to alarm, and meanwhile, the data server records and stores the data information.
The database server in the step S1 includes a processor, a hard disk, a memory, and a system bus, the hardware mechanism modules in the step S4 are installed in a grouping manner, each group of installation manners are installed in a regular hexagonal honeycomb manner, the interval distance is designed to be 50m, the power supply manners of the single chip microcomputer and the hardware mechanism modules in the step S5 are both power supply manners in which a solar photovoltaic panel assembly is matched with a storage battery pack, the voltage of the single chip microcomputer is 5.5V, the voltage of the hardware mechanism modules is 30V, the display mechanism in the step S6 is an LCD1602 display screen, the alarm module in the step S7 is a WT588D voice chip alarm device, and the control manner of the WT588D voice chip alarm device is any one of key control, one-line serial port control, and three-line serial port control.
According to the environment artificial intelligence detection method, the alarm function is added, a good warning effect can be achieved, detection managers can make judgment quickly and conveniently, processing is conducted quickly, temperature and humidity in the environment, light intensity, PM2.5 concentration and sensing flame are combined organically through the hardware mechanism module, intelligent detection is achieved, power supply modes of the single chip microcomputer and the hardware mechanism module are powered through the solar photovoltaic panel assembly and the storage battery pack, energy is saved, environment is protected, the hardware mechanism module of the detection method is installed in the regular hexagon honeycomb mode, all coverage of detection positions can be achieved, and the environment artificial intelligence detection method is suitable for wide popularization.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. An environment artificial intelligence detection method with an alarm function is characterized in that: the method for detecting the environment with the alarm function comprises the following specific steps:
s1: establishing a remote monitoring service system, and accessing a computer to a network system and recording the computer into a database server;
s2: the server is associated, a remote monitoring service system and an alarm fire-fighting system are associated by adopting a local area network, and an alarm module is arranged;
s3: selecting a hardware mechanism module, and selecting a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module for an intelligent detection mechanism of the environment;
s4: installing a hardware mechanism module, namely installing a temperature and humidity sensor, a light intensity sensor, a flame sensor and a PM2.5 detection module in S3 at detection positions;
s5: building a central point, namely using the singlechip STC12C5A60S2 as a system building central point, and associating a hardware mechanism module in S4 with the singlechip;
s6: displaying environmental parameters, displaying the current environmental temperature and humidity, light intensity, PM2.5 concentration and sensing flame in real time through a set display mechanism;
s7: the alarm module is used for associating with the hardware mechanism module respectively, and when the alarm module exceeds a set limit value, the alarm module transmits information to a remote monitoring service system through a GPRS and a wireless transmitter;
s8: the server transmits and stores the information, the remote monitoring service system transmits the information to the alarm fire-fighting system through the network, the alarm module is triggered to alarm, and meanwhile, the data server records and stores the data information.
2. The environmental artificial intelligence detection method with the alarm function according to claim 1, characterized in that: the database server in step S1 includes a processor, a hard disk, a memory, and a system bus.
3. The environmental artificial intelligence detection method with the alarm function according to claim 1, characterized in that: in the step S4, the hardware mechanism modules are installed in a grouping manner, each group of installation manners are installed in a regular hexagonal honeycomb manner, and the spacing distance is designed to be 30-50 m.
4. The environmental artificial intelligence detection method with the alarm function according to claim 1, characterized in that: the power supply modes of the single chip microcomputer and the hardware mechanism module in the step S5 are both the power supply mode of the solar photovoltaic panel component and the storage battery pack, the voltage working range of the single chip microcomputer is 3.3-5.5V, and the voltage working range of the hardware mechanism module is 3-30V.
5. The environmental artificial intelligence detection method with the alarm function according to claim 1, characterized in that: the display mechanism in step S6 uses an LCD1602 display screen.
6. The environmental artificial intelligence detection method with the alarm function according to claim 1, characterized in that: the alarm module in the step S7 adopts a WT588D voice chip alarm device, and the WT588D voice chip alarm device is controlled in any one of key control, one-line serial port control and three-line serial port control.
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2018
- 2018-09-12 CN CN201811061080.6A patent/CN110895153A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101398819B1 (en) * | 2013-06-03 | 2014-05-30 | 주식회사 큐앤웍스 | System unite management system for environment monitoring of unattended building |
| CN105204474A (en) * | 2015-10-10 | 2015-12-30 | 国家电网公司 | Transformer substation environment intelligent monitoring system |
| CN105182954A (en) * | 2015-10-20 | 2015-12-23 | 云南大学 | Embedded indoor environment network monitor system and method based on 51 one-chip microcomputer |
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