Real-time multi-point environment detection system based on Internet of Things

Abstract

The utility model discloses a real-time multi-point environment detection system based on Internet of Things, which relates to the technical field of Internet of Things and comprises a temperature and humidity sensor, an air quality detection device, an ultrasonic water level sensor, a panoramic camera and a leader computer. The temperature and humidity sensor, the ultrasonic water level sensor, the power cable load monitor and the fire-fighting facility water pressure monitor are connected with the control cabinet through a local area network, and the air quality detection device and the panoramic camera are connected with the control cabinet in a wired mode. The control cabinet records all collected data and forwards the data to a cloud server and a duty room computer, and the equipment monitors a common power network and fire-fighting equipment, so that not only can emergency treatment countermeasures be ensured when problems occur, but also the stability of the equipment can be avoided, timely maintenance is facilitated, and the service life of the equipment is prolonged. And the patrol unmanned aerial vehicle returns data in a photographing and camera shooting manner, so that the data can be movably acquired, irregular and fixed-point monitoring is realized, and the area monitoring is more detailed.

Description

Technical Field

[0001] The utility model relates to the technical field of Internet of Things, in particular to a real-time multi-point environment detection system based on the Internet of Things. Background Art

[0002] Environmental testing is to design the environmental testing network using GIS technology. The information collected by environmental testing can be stored and displayed in a timely manner through GIS, and detailed site monitoring and analysis can be carried out on the selected evaluation area. However, the existing environmental testing has some shortcomings, such as:

[0003] Publication No.: CN115560807A describes an environmental detection system. Since most of the sensors in this method are operated with a single sensor, the accuracy of data collection during use is not high, and the detection range of the touch sensor is limited, and some areas cannot be effectively detected, which may cause many problems. Utility Model Content

[0004] The purpose of the utility model is to provide a real-time multi-point environmental detection system based on the Internet of Things, so as to solve the problem that the existing method on the market proposed in the above background technology mostly uses a single sensor to operate, the accuracy of data collection during use is not high, and the detection range of the touch sensor is limited, and some areas cannot be effectively detected, which may cause many problems.

[0005] To achieve the above-mentioned purpose, the utility model provides the following technical solutions: a real-time multi-point environmental detection system based on the Internet of Things, including a temperature and humidity sensor, an air quality detection device, a patrol drone, an audible and visual alarm device, and a leadership computer;

[0006] The temperature and humidity sensors, ultrasonic water level sensors, power cable load monitoring and fire-fighting facility water pressure monitoring are all connected to the control cabinet via a local area network. The air quality detection device and the panoramic camera are connected to the control cabinet via wires. The control cabinet records all collected data and forwards them to the cloud server and the duty room computer. The duty room computer determines whether the environmental data is abnormal based on the data, and when the environmental data is abnormal, it sends an abnormal warning signal through the sound and light alarm device. At the same time, the real-time data and disposal methods will be shared with the monitoring screen and the leadership computer.

[0007] As a preferred technical solution of the utility model, the temperature and humidity sensors are fixed to trees and buildings in the detection area by means of cable ties or bolts, and the temperature and humidity sensors are distributed at different heights, and data communication is performed through a local area network connection;

[0008] By adopting the above technical solution, the device fixes the temperature and humidity sensors by means of cable ties or bolts, which can ensure that the temperature and humidity sensors have good adaptability, and the distribution at different heights can monitor the evaporation effect in the same area.

[0009] As a preferred technical solution of the utility model, the air quality detection device and the ultrasonic water level sensor adopt an integrated structure and adopt rod-shaped devices to be evenly distributed in the water source, and the air quality detection device and the ultrasonic water level sensor are powered by solar energy;

[0010] By adopting the above technical solution, the equipment integrates the air quality detection device and the ultrasonic water level sensor into a rod-shaped device and evenly distributes them in the water source. Not only is the installation method convenient and simple, but the use of solar power can reduce the equipment's dependence on energy, thereby playing a good role in energy conservation and emission reduction.

[0011] As the preferred technical solution of the utility model, the power cable load monitoring and fire-fighting facility water pressure monitoring are both incorporated into the power grid and fire-fighting facilities in parallel, usually powered by batteries and transmitted data by wired connection. The inspection drone is independent of the detection facilities, and can be used for automated scheduled and fixed-point inspections, and transmits data back by taking photos and videos;

[0012] By adopting the above technical solution, the equipment can monitor the common power network and fire-fighting facilities, which can not only ensure emergency treatment measures when problems occur, but also avoid equipment instability and facilitate timely maintenance. The patrol drone transmits data back by taking photos and videos, and can collect data on the move, achieve irregular fixed-point monitoring, and provide more detailed regional monitoring.

[0013] As the preferred technical solution of the utility model, the control cabinet processes all collected data and sends them to the duty room computer and cloud server for synchronous processing and storage. The control cabinet has a built-in storage server. When the data processed by the control cabinet is sent to the duty room computer, the real-time data changes are reflected through a graphical interface, and the regional picture is displayed on the monitoring screen. The data information will also be shared with the leader's computer in real time, and the leader's computer will record it synchronously. Once an emergency occurs, the sound and light alarm device will start automatically to guide personnel to evacuate.

[0014] By adopting the above technical solution, the device can effectively ensure the integrity of the data through the coexistence of data from the control cabinet, cloud server and leadership computer, so that when problems occur, they can be traced and investigated in time, reducing the process of accident handling.

[0015] Compared with the prior art, the beneficial effects of the utility model are:

[0016] 1. By monitoring the common power network and fire-fighting facilities, the equipment can not only ensure emergency response measures when problems occur, but also avoid equipment instability and facilitate timely maintenance. The inspection drone transmits data by taking photos and videos, and can collect data on the move, so as to achieve irregular fixed-point monitoring and more detailed regional monitoring.

[0017] 2. The device can effectively ensure the integrity of data through the coexistence of data from the control cabinet, cloud server and leadership computer, so that if problems occur, they can be traced back and investigated in time to reduce the process of accident handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the overall process structure of the utility model;

[0019] Figure 2 This is a schematic diagram of the process structure of the control cabinet subsystem of the utility model;

[0020] Figure 3 This is a schematic diagram of the structure of the camera system of the utility model;

[0021] Figure 4 This is a schematic diagram of the structure of the UAV system of the utility model.

[0022] In the figure: 1. Temperature and humidity sensor; 2. Air quality detection device; 3. Ultrasonic water level sensor; 4. Panoramic camera; 5. Power cable load monitoring; 6. Firefighting facility water pressure monitoring; 7. Patrol drone; 8. Cloud server; 9. Control cabinet; 10. Duty room computer; 11. Sound and light alarm device; 12. Monitoring large screen; 13. Leader computer. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0024] See also Figure 1-4 , the technical solution of the utility model: a real-time multi-point environment detection system based on the Internet of Things, including a temperature and humidity sensor 1, an air quality detection device 2, an ultrasonic water level sensor 3, a panoramic camera 4 and a leadership computer 13;

[0025] The temperature and humidity sensor 1, ultrasonic water level sensor 3, power cable load monitoring 5 and fire-fighting facility water pressure monitoring 6 are all connected to the control cabinet 9 through the local area network. The temperature and humidity sensor 1 is fixed to the trees and buildings in the detection area by means of cable ties or bolts, and the temperature and humidity sensors 1 are distributed at different heights and communicate data through the connection method of the local area network. The device fixes the temperature and humidity sensor 1 by means of cable ties or bolts, which can ensure that the temperature and humidity sensor 1 has good adaptability, and the distribution at different heights can monitor the evaporation effect in the same area. The air quality detection device 2 and the panoramic camera 4 are connected to the control cabinet 9 by wire. The air quality detection device 2 and the ultrasonic water level sensor 3 are connected by a The integrated structure adopts rod-shaped devices to be evenly distributed in the water source, and the air quality detection device 2 and the ultrasonic water level sensor 3 are all-in-one and are powered by solar energy. The device adopts an integrated structure to place the air quality detection device 2 and the ultrasonic water level sensor 3 in the water source and evenly distributes them. Not only is the installation method convenient and simple, but the use of solar power can reduce the dependence of the equipment on energy, and play a good role in energy conservation and emission reduction. The control cabinet 9 records all collected data and forwards it to the cloud server 8 and the duty room computer 10. The power cable load monitoring 5 and the fire-fighting facility water pressure monitoring 6 are both connected in parallel to the power grid and the fire-fighting facilities. They are usually powered by batteries and transmit data by wired connection. The drone 7 is independent of the detection facilities, and can use automated scheduled and fixed-point inspections, and transmit data back by taking photos and videos. By monitoring the common power network and fire-fighting facilities, the equipment can not only ensure emergency treatment measures when problems occur, but also avoid equipment instability and facilitate timely maintenance. The inspection drone 7 transmits data back by taking photos and videos, and can collect data on the move, so as to achieve irregular and fixed-point monitoring, and more detailed regional monitoring. The duty room computer 10 determines whether the environmental data is abnormal through the data, and when the environmental data is abnormal, sends an abnormal warning signal through the sound and light alarm device 11. At the same time, the real-time data and disposal methods will be shared with the monitoring large screen 12 and the leadership computer 13, and the control cabinet 9 will monitor all the collected data. After the data is processed, it will be sent to the duty room computer 10 and the cloud server 8 for synchronous processing and storage. The control cabinet 9 has a built-in storage server. When the data processed by the control cabinet 9 is sent to the duty room computer 10, the real-time data changes are reflected through the graphical interface, and the regional picture is displayed on the monitoring large screen 12. The data information will also be shared with the leader computer 13 in real time, and the leader computer 13 will record it synchronously. Once an emergency occurs, the sound and light alarm device 11 will start automatically to guide people to evacuate. The device can effectively ensure the integrity of the data through the coexistence of data from the control cabinet 9, the cloud server 8 and the leader computer 13, so that when problems occur, they can be traced back and investigated in time to reduce the process of accident handling.

[0026] Working principle: When using this real-time multi-point environmental detection system based on the Internet of Things, first install each sensor device at a suitable location in the area, and the number of sensors is not less than five per hundred square meters. When it starts running, each sensor data will be transmitted back to the control cabinet 9 through the local area network and wired method in the first time. The control cabinet 9 has a built-in storage server to directly save the original data, and the control cabinet 9 is packaged and sent to the cloud server 8. The data stored in the cloud server 8 can be accessed through the local area network through mobile phones, tablets and other devices for viewing, and the data in the control cabinet 9 will also be sent to the duty room computer 10 synchronously. The duty room computer 10 uses a graphical interface to summarize and analyze the data, and through the monitoring large screen 12, the processed information will be synchronized to the leader computer 13 for storage. When an abnormality occurs in the data or part of the area, the equipment will automatically alarm and the sound and light alarm device 11 will guide the crowd to evacuate. At the same time, the patrol drone 7 will be automatically triggered in the first time, go to the abnormal area, and conduct a preliminary survey of the abnormality for the first time to ensure whether the abnormality is true.

[0027] Thereby completing a series of tasks, the contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0028] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time multi-point environmental detection system based on the Internet of Things, comprising a temperature and humidity sensor (1), an air quality detection device (2), a patrol drone (7), an audible and visual alarm device (11) and a leadership computer (13), characterized in that: The temperature and humidity sensor (1), ultrasonic water level sensor (3), power cable load monitoring (5) and fire-fighting facility water pressure monitoring (6) are all connected to the control cabinet (9) via a local area network. The air quality detection device (2) and the panoramic camera (4) are connected to the control cabinet (9) via a wired connection. The control cabinet (9) records all collected data and forwards them to a cloud server (8) and a duty room computer (10). The duty room computer (10) determines whether the environmental data is abnormal based on the data, and when the environmental data is abnormal, sends an abnormal warning signal through the sound and light alarm device (11). At the same time, the real-time data and the disposal method are shared with the monitoring screen (12) and the leadership computer (13).

2. A real-time multi-point environment detection system based on the Internet of Things according to claim 1, characterized in that: The temperature and humidity sensors (1) are fixed to trees and buildings in the detection area by means of cable ties or bolts, and the temperature and humidity sensors (1) are distributed at different heights, and data communication is performed by means of a local area network connection.

3. A real-time multi-point environment detection system based on the Internet of Things according to claim 2, characterized in that: The air quality detection device (2) and the ultrasonic water level sensor (3) adopt an integrated structure and adopt rod-shaped devices to be evenly distributed in the water source, and the air quality detection device (2) and the ultrasonic water level sensor (3) are all-in-one and powered by solar energy.

4. A real-time multi-point environment detection system based on the Internet of Things according to claim 3, characterized in that: The power cable load monitoring (5) and the fire-fighting facility water pressure monitoring (6) are both integrated into the power grid and the fire-fighting facility in parallel, usually powered by batteries and using wired connections to transmit data. The inspection drone (7) is independent of the detection facilities and can use automated scheduled and fixed-point inspections, and transmit data back by taking photos and videos.

5. A real-time multi-point environment detection system based on the Internet of Things according to claim 4, characterized in that: After processing all the collected data, the control cabinet (9) will send them to the duty room computer (10) and the cloud server (8) for synchronous processing and storage. The control cabinet (9) has a built-in storage server. When the data processed by the control cabinet (9) is sent to the duty room computer (10), the real-time data changes are reflected through a graphical interface, and the regional picture is displayed on the monitoring large screen (12). The data information will also be shared with the leader computer (13) in real time, and the leader computer (13) will record it synchronously. Once an emergency occurs, the sound and light alarm device (11) will automatically start to guide personnel to evacuate.

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