CN216352720U - Photovoltaic power plant fire prevention flood control early warning system based on thing networking - Google Patents
Photovoltaic power plant fire prevention flood control early warning system based on thing networking Download PDFInfo
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- CN216352720U CN216352720U CN202122941856.7U CN202122941856U CN216352720U CN 216352720 U CN216352720 U CN 216352720U CN 202122941856 U CN202122941856 U CN 202122941856U CN 216352720 U CN216352720 U CN 216352720U
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Abstract
The utility model discloses a photovoltaic power station fire prevention and flood control early warning system based on the Internet of things, which comprises a detection unit, a data acquisition device and a data server, wherein the detection unit comprises a water level detection module and a fire detection module, the water level detection module is used for monitoring the water level of a river, a liquid level or a semi-liquid near a photovoltaic power station, the fire detection module monitors the fire in the range of the photovoltaic power station, the water level detection module and the fire detection module are respectively in communication connection with the data acquisition device, the data acquisition device is in communication connection with the data server, and the data server can be in communication connection with a user terminal. The photovoltaic power station fire prevention and flood prevention early warning system based on the Internet of things carries out real-time waterproof and fire prevention monitoring on the photovoltaic power station, and can inform monitoring information to managers in time, so that timely early warning response is achieved, the photovoltaic power station is protected, and property loss is reduced.
Description
Technical Field
The utility model relates to the technical field of Internet of things, in particular to a photovoltaic power station fire prevention and flood control early warning system based on the Internet of things.
Background
The photovoltaic power station is an important source of clean energy, solar power supply is important electric power support in places without electric power access, and after the photovoltaic power station is put into use, weeds are usually generated, unattended weeds are easy to ignite in dry weather or farmland wildfire, or water overflows the photovoltaic power station in sudden rainstorm and flood season without timely early warning, so that the power station is scrapped to cause loss. The traditional mode is watched and managed by a special person or is regularly patrolled, the labor cost is high, and in the case of negligence, the manager is informed in advance before danger occurs, and the photovoltaic power station is prevented fire and flood in time, so that the photovoltaic power station is protected to safely use electricity, and property loss is reduced, which is necessary.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide a photovoltaic power station fire prevention and flood prevention early warning system based on the Internet of things, which is used for carrying out real-time waterproof and fire prevention monitoring on a photovoltaic power station, and informing monitoring information to managers in time, so that timely early warning response is achieved, the photovoltaic power station is protected, and property loss is reduced.
The utility model discloses a photovoltaic power station fire prevention and flood control early warning system based on the Internet of things, which adopts the following technical scheme:
the utility model provides a photovoltaic power plant fire prevention flood control early warning system based on thing networking, includes detecting element, data acquisition device and data server, detecting element includes water level detection module and fire detection module, water level detection module is used for monitoring near photovoltaic power plant river, liquid level or the water level of semi-liquid, the fire of fire detection module monitoring photovoltaic power plant within range, water level detection module and fire detection module are connected with the data acquisition device communication respectively, data acquisition device and data server communication are connected, data server can be connected with the user terminal communication.
Preferably, the water level detection module comprises at least one of an ultrasonic liquid level sensor and an immersion type water level sensor, and the ultrasonic liquid level sensor and the immersion type water level sensor are electrically connected with the data acquisition device through a data interface.
Preferably, the fire detection module comprises at least one of an infrared temperature sensor, a temperature sensing camera and a temperature sensing optical fiber, and the infrared temperature sensor, the temperature sensing camera and the temperature sensing optical fiber are electrically connected with the data acquisition device through data interfaces.
Preferably, the fire detection module further comprises a smoke sensor, wherein the smoke sensor is installed below the photovoltaic panel and electrically connected with the data acquisition device through a data interface.
As a preferred scheme, the fire detection module further comprises a temperature and humidity sensor, wherein the temperature and humidity sensor is installed below the photovoltaic panel and is electrically connected with the data acquisition device through a data interface.
Preferably, the data acquisition device adopts a DTU.
The photovoltaic power station fire prevention and flood control early warning system based on the Internet of things has the beneficial effects that: the water level detection module monitors the water level of rivers, liquid levels or semi-liquids near the photovoltaic power station in real time and transmits water level detection information to the data acquisition device. The fire detection module monitors the fire in the range of the photovoltaic power station in real time and transmits the fire detection information to the data acquisition device. Data acquisition device detects information and condition of a fire detection information and transmits to data server in unison after gathering, and data server carries out the analysis back to data and sends condition of a fire early warning and the condition of a water early warning to user terminal for inform supervisory personnel, thereby in time give photovoltaic power plant fire prevention flood control, protect photovoltaic power plant, reduce loss of property.
Drawings
Fig. 1 is a schematic structural diagram of a photovoltaic power station fire prevention and flood control early warning system based on the internet of things.
Fig. 2 is another schematic structural diagram of the photovoltaic power station fire prevention and flood control early warning system based on the internet of things.
Detailed Description
The utility model will be further elucidated and described with reference to the embodiments and drawings of the specification:
referring to fig. 1 and 2, the photovoltaic power station fire prevention and flood control early warning system based on the internet of things comprises a detection unit, a data acquisition device and a data server, wherein the detection unit comprises a water level detection module and a fire detection module. The water level detection module is used for monitoring the water level of rivers, liquid levels or semi-liquids near the photovoltaic power station, and the fire detection module monitors the fire in the range of the photovoltaic power station. The water level detection module and the fire detection module are respectively in communication connection with a data acquisition device, the data acquisition device is in communication connection with a data server, and the data server can be in communication connection with a user terminal.
The water level detection module monitors the water level of rivers, liquid levels or semi-liquids near the photovoltaic power station in real time and transmits water level detection information to the data acquisition device. The fire detection module monitors the fire in the range of the photovoltaic power station in real time and transmits the fire detection information to the data acquisition device. Data acquisition device detects information and condition of a fire detection information and transmits to data server in unison after gathering, and data server carries out the analysis back to data and sends condition of a fire early warning and the condition of a water early warning to user terminal for inform supervisory personnel, thereby in time give photovoltaic power plant fire prevention flood control, protect photovoltaic power plant, reduce loss of property.
In this embodiment, the water level detection module includes at least one of an ultrasonic liquid level sensor and an immersion water level sensor, and the ultrasonic liquid level sensor and the immersion water level sensor are electrically connected with the data acquisition device through a data interface. Specifically, under the default condition, the system adopts an ultrasonic liquid level monitoring module with an ultrasonic liquid level sensor to monitor nearby rivers, liquid levels or semi-liquid water levels in real time. The ultrasonic water level monitoring is popular and popular, and absorbs the advantages of various home and abroad object level instruments. And the ultrasonic liquid level monitoring module can meet most of liquid level and material level measurement requirements without contacting industrial media, and thoroughly overcomes the defects of winding, blockage, leakage, medium corrosion, inconvenient maintenance and the like caused by traditional measurement modes such as a pressure type, a capacitance type, a floater type and the like. Meanwhile, an immersion type water level sensor can be added to monitor nearby rivers, liquid levels or semi-liquid levels according to actual needs.
Further, the data interface may be RS232, RS485 or other general interfaces, and the default data protocol is a mdbus protocol, but other protocols may also be used, and the data interface may be matched with the data acquisition device. The data acquisition device is a transparent transmission device, can transmit an instruction from the data server to the sensor, can acquire and upload sensor data of each industry to the data server, can adapt to different low-cost acquisition devices according to the type of the sensor, and does not need a special PLC or a control panel if a DTU (convert IP data into serial port data) which is universal in the industry, so that the cost is low, and the maintenance is simpler. And DTU possesses the networking function, the networking mode can be various, there is 4G/5G, wifi, the net gape etc., the agreement that possesses supports the heartbeat, TCP passes through, hardware interface includes RS232, RS485 etc., the DTU who possesses these characteristics, can connect the sensor that corresponds hardware interface, when DTU receives the reading data instruction that the server was issued, just to corresponding cluster mouth transmission data, the sensor that connects on the serial ports will respond data, DTU receives the response data after, forwardding to data server, thereby the data acquisition of sensor has been realized. Meanwhile, the data server has the function of timing rules, caches all data reading instructions of corresponding equipment in the database, and issues the data reading instructions at regular time.
In this embodiment, the fire detection module includes at least one of an infrared temperature sensor, a temperature sensing camera, and a temperature sensing optical fiber, and the infrared temperature sensor, the temperature sensing camera, and the temperature sensing optical fiber are electrically connected to the data acquisition device through a data interface. Specifically, the fire detection module is arranged near or can cover each station of the photovoltaic power station, for example, a DS-2TD4136-25 dual-spectrum thermal imaging intelligent spherical camera is used as a temperature sensing camera, the monitoring range of the temperature sensing camera can cover each station of the photovoltaic power station, when a fire occurs, the camera can be identified at a distance of 540m, and smoke can be identified at a distance of 5 km. The data interface can also be RS232, RS485 or other universal interfaces, the default of the data protocol is a multidus protocol, and of course, other protocols can be used to match with the data acquisition device.
Further, the fire detection module further comprises a smoke sensor, wherein the smoke sensor is installed below the photovoltaic panel and is electrically connected with the data acquisition device through a data interface. In order to further improve the effectiveness and reliability of monitoring, the photovoltaic power station is monitored in a large range, and meanwhile, a smoke sensor is installed below a photovoltaic panel, so that the close-range fire condition is monitored. Further, the fire detection module further comprises a temperature and humidity sensor, and the temperature and humidity sensor is installed below the photovoltaic panel and is electrically connected with the data acquisition device through a data interface. The temperature and humidity sensor is also used for monitoring the close-range fire.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (6)
1. The utility model provides a photovoltaic power plant fire prevention flood control early warning system based on thing networking, a serial communication port, including detecting element, data acquisition device and data server, detecting element includes water level detection module and fire detection module, water level detection module is used for monitoring near photovoltaic power plant river, liquid level or the water level of half liquid, fire detection module monitoring photovoltaic power plant within range's fire, water level detection module and fire detection module are connected with the data acquisition device communication respectively, data acquisition device is connected with the data server communication, the data server can be connected with the user terminal communication.
2. The photovoltaic power plant fire and flood prevention early warning system based on the internet of things of claim 1, wherein the water level detection module comprises at least one of an ultrasonic liquid level sensor and an immersion type water level sensor, and the ultrasonic liquid level sensor and the immersion type water level sensor are electrically connected with the data acquisition device through a data interface.
3. The photovoltaic power plant fire prevention and flood control early warning system based on the internet of things of claim 1, wherein the fire detection module comprises at least one of an infrared temperature measurement sensor, a temperature sensing camera and a temperature sensing optical fiber, and the infrared temperature measurement sensor, the temperature sensing camera and the temperature sensing optical fiber are electrically connected with the data acquisition device through data interfaces.
4. The photovoltaic power plant fire prevention and flood control early warning system based on the internet of things of claim 3, wherein the fire detection module further comprises a smoke sensor, and the smoke sensor is installed below the photovoltaic panel and electrically connected with the data acquisition device through a data interface.
5. The photovoltaic power plant fire prevention and flood control early warning system based on the internet of things of claim 3, wherein the fire detection module further comprises a temperature and humidity sensor, and the temperature and humidity sensor is installed below the photovoltaic panel and is electrically connected with the data acquisition device through a data interface.
6. The internet of things-based photovoltaic power station fire and flood prevention early warning system of claim 1, wherein the data acquisition device adopts a DTU.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122941856.7U CN216352720U (en) | 2021-11-26 | 2021-11-26 | Photovoltaic power plant fire prevention flood control early warning system based on thing networking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122941856.7U CN216352720U (en) | 2021-11-26 | 2021-11-26 | Photovoltaic power plant fire prevention flood control early warning system based on thing networking |
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| Publication Number | Publication Date |
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| CN216352720U true CN216352720U (en) | 2022-04-19 |
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| CN202122941856.7U Active CN216352720U (en) | 2021-11-26 | 2021-11-26 | Photovoltaic power plant fire prevention flood control early warning system based on thing networking |
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| CN (1) | CN216352720U (en) |
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2021
- 2021-11-26 CN CN202122941856.7U patent/CN216352720U/en active Active
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