Urban weather monitoring and early warning system based on Internet of Things

By designing an Internet of Things urban weather monitoring and early warning system and integrating multiple sensors for real-time monitoring and data analysis, the problem of lack of comprehensiveness and real-time nature of urban environmental monitoring and early warning systems is solved, and real-time monitoring and early warning of multiple environmental factors is achieved.

CN222979813UActive Publication Date: 2025-06-13BEIJING HUALONG DIGITAL TECH CO LTD
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Patent Information

Application Number
CN202421184459.7
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-05-28
Publication Date
2025-06-13
Estimated Expiration
2034-05-28

AI Technical Summary

Technical Problem

The urban environmental monitoring and early warning system lacks comprehensiveness and real-timeness, making it difficult to effectively monitor and warn of air quality, noise pollution and other problems.

Method used

Design a city weather monitoring and early warning system based on the Internet of Things, integrate multiple sensors (such as gas sensors, particulate matter sensors, temperature and humidity sensors, soil humidity sensors, sound sensors, etc.) for real-time monitoring, and analyze data through the processing module to trigger early warning signals based on preset thresholds.

Benefits of technology

Real-time monitoring and early warning of urban weather, air, water quality, noise, soil and other aspects, improve the comprehensiveness and real-time nature of environmental monitoring, and ensure a timely response to potential environmental threats.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model relates to the field of weather monitoring and early warning, in particular to an urban weather monitoring and early warning system based on the Internet of Things. The utility model provides an urban weather monitoring and early warning system based on the Internet of Things. The urban weather monitoring and early warning system comprises an acquisition module, a processing module, a soil monitoring module and a noise monitoring module. The acquisition module is in communication connection with the processing module. The processing module is in communication connection with the response module. The soil monitoring module is arranged in an agricultural area and is in communication connection with the acquisition module. The noise monitoring modules are arranged on the two sides of a traffic artery and are in communication connection with the acquisition module. By integrating a plurality of sensors, data of a plurality of aspects such as urban weather, air, water quality, noise and soil can be monitored at the same time. And the processing module analyzes and processes the collected data, and performs early warning according to a preset threshold value. Once any abnormal data is monitored or the abnormal data exceeds a preset threshold value, the system immediately triggers an early warning signal and notifies personnel to take emergency measures.
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Description

Technical Field

[0001] The utility model relates to the field of weather monitoring and early warning, and particularly relates to an urban weather monitoring and early warning system based on the Internet of Things. Background Art

[0002] With the acceleration of the urbanization process, the air quality problem is another environmental problem that cannot be ignored in the urbanization process. With the development of industry, the sharp increase in the number of motor vehicles and the frequent construction activities, a large amount of waste gas, dust and particulate matter are discharged into the air, resulting in a serious decline in air quality. Noise pollution is also one of the environmental problems that cannot be ignored in the urbanization process. With the development of urban transportation, road traffic noise, construction noise, etc. are increasing continuously, seriously affecting the quality of life and physical and mental health of residents. This not only poses a threat to the health of residents, but also affects the image and sustainable development of the city. Urban environmental problems are becoming increasingly prominent, such as the decline in air quality, water pollution, noise pollution, etc. In order to effectively monitor and early warn these environmental problems, a system that can integrate multiple sensors and real-time monitor and early warn the urban environmental conditions is needed. Summary of the Utility Model

[0003] The utility model aims to solve the problems of comprehensiveness and real-time of urban environmental monitoring and early warning, and provides an urban weather monitoring and early warning system based on the Internet of Things.

[0004] The technical solution adopted by the utility model to solve its technical problems is: an urban weather monitoring and early warning system based on the Internet of Things includes a collection module, a processing module, a response module, a soil monitoring module, and a noise monitoring module. The collection module is communicatively connected to the processing module. The processing module is communicatively connected to the response module. The soil monitoring module is arranged in the agricultural area, and the soil monitoring module is communicatively connected to the collection module. The noise monitoring module is arranged on both sides of the traffic artery, and the noise monitoring module is communicatively connected to the collection module.

[0005] Further: it includes a weather monitoring module. The weather monitoring module is communicatively connected to the collection module. The weather monitoring module is composed of a rain sensor, a flow sensor, a wind speed sensor, and a displacement sensor.

[0006] Further: it includes an air monitoring module and a water quality monitoring module. The air monitoring module is communicatively connected to the collection module. The water quality monitoring module is communicatively connected to the collection module.

[0007] Further: it includes a display module. The display module is communicatively connected to the processing module.

[0008] Further: it includes a monitoring module. The monitoring module is communicatively connected to the collection module.

[0009] Further: the air monitoring module is composed of a gas sensor, a particulate matter sensor, and a temperature and humidity sensor.

[0010] Further: The soil monitoring module consists of a soil moisture sensor, a soil temperature sensor, and a soil pH sensor. The noise monitoring module consists of a sound sensor and a noise meter. The acquisition module is a processor. The processing module consists of a processor and a memory. The display module is a display screen.

[0011] Further: It includes an urban underground structure dynamic monitoring module. The urban underground structure dynamic monitoring module is communicatively connected to the acquisition module. The urban underground structure dynamic monitoring module is a distributed fiber optic acoustic wave sensor.

[0012] Advantages of the present utility model:

[0013] 1. By integrating multiple sensors, such as gas sensors, particulate matter sensors, temperature and humidity sensors, soil moisture sensors, soil temperature sensors, soil pH sensors, sound sensors, noise meters, rainfall sensors, flow sensors, wind speed sensors, etc., it can simultaneously monitor data in multiple aspects such as urban weather, air, water quality, noise, and soil. The processing module analyzes and processes the collected data and issues real-time warnings according to preset thresholds. Once any abnormal data or a situation exceeding the preset threshold is detected, the system will immediately trigger a warning signal and notify relevant personnel to take emergency response measures.

[0014] 2. Through the display module, the system can display the monitoring data in an intuitive manner, facilitating users to understand and use.

[0015] 3. The urban underground structure dynamic monitoring module can monitor the changes in the underground structure in real time and prevent potential safety hazards. Description of the Drawings

[0016] Figure 1 It is a schematic flowchart of the system. Specific Embodiments

[0017] The following will clearly and completely describe the concept and the resulting technical effects of the present utility model in combination with embodiments, so as to fully understand the purpose, features, and effects of the present utility model.

[0018] An urban weather monitoring and warning system based on the Internet of Things includes an acquisition module, a processing module, a response module, a soil monitoring module, and a noise monitoring module. The acquisition module is communicatively connected to the processing module. The processing module is communicatively connected to the response module. The soil monitoring module is arranged in the agricultural area and is communicatively connected to the acquisition module. The noise monitoring module is arranged on both sides of the traffic artery and is communicatively connected to the acquisition module.

[0019] It includes a weather monitoring module. The weather monitoring module is communicatively connected to the acquisition module. The weather monitoring module consists of a rain sensor, a flow sensor, a wind speed sensor, and a displacement sensor.

[0020] It includes an air monitoring module and a water quality monitoring module. The air monitoring module is communicatively connected to the acquisition module. The water quality monitoring module is communicatively connected to the acquisition module.

[0021] It includes a display module. The display module is communicatively connected to the processing module.

[0022] It includes a monitoring module. The monitoring module is communicatively connected to the acquisition module.

[0023] The air monitoring module consists of a gas sensor, a particulate matter sensor, and a temperature and humidity sensor.

[0024] The soil monitoring module consists of a soil moisture sensor, a soil temperature sensor, and a soil pH sensor. The noise monitoring module consists of a sound sensor and a noise meter. The acquisition module is a processor. The processing module consists of a processor and a memory. The display module is a display screen.

[0025] It includes an urban underground structure dynamic monitoring module. The urban underground structure dynamic monitoring module is communicatively connected to the acquisition module. The urban underground structure dynamic monitoring module is a distributed fiber optic acoustic wave sensor.

[0026] Working principle: After the system is started, the acquisition module, processing module, response module, soil monitoring module, noise monitoring module, weather monitoring module, air monitoring module, water quality monitoring module, display module, monitoring module, response module, and urban underground structure dynamic monitoring module are initialized to ensure normal communication connections between various modules. Soil data in the agricultural area is collected in real time through soil humidity sensors, soil temperature sensors, and soil pH sensors. Noise data on both sides of traffic arteries is collected in real time through sound sensors and noise meters. Weather data is collected in real time through rain sensors, flow sensors, and wind speed sensors. Displacement sensors are usually used to measure structural displacement. Air quality data is collected in real time through gas sensors, particulate matter sensors, and temperature and humidity sensors. Water quality data is collected in real time through the water quality monitoring module. The changes in the urban underground structure are monitored in real time through distributed fiber optic acoustic sensors. All the collected data is summarized by the acquisition module and transmitted to the processing module for further analysis and processing through wired or wireless means. The processing module receives the data from the acquisition module and performs data analysis according to preset thresholds or algorithms. If any data exceeds the preset threshold or meets the warning conditions, the processing module will generate a warning signal. After receiving the warning signal sent by the processing module, the response module will execute corresponding warning response measures, such as sending alarm information to relevant personnel and starting emergency equipment. The display module displays the data analyzed and processed by the processing module in real time for users to view intuitively. The monitoring module monitors the running status of the entire system in real time to ensure the stable operation of the system. The urban underground structure dynamic monitoring module monitors the changes in the underground structure in real time through distributed fiber optic acoustic sensors and sends the data to the acquisition module for further analysis. If the analysis results show potential safety hazards or abnormal situations, the system will take corresponding warning or emergency measures. The system continuously conducts data collection, transmission, analysis, warning, and response to ensure comprehensive and real-time monitoring and warning of the urban environment.

[0027] The above embodiments are only a part of the embodiments of the present utility model, rather than all embodiments. Based on the embodiments of the present utility model, other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present utility model.

Claims

1. An urban weather monitoring and early warning system based on the Internet of Things, characterized by: It includes acquisition module, response module, processing module, soil monitoring module and noise monitoring module; The acquisition module is communicatively connected with the processing module; The processing module is communicatively connected with the response module; The soil monitoring module is arranged in the agricultural area, and the soil monitoring module is communicatively connected with the collection module; The noise monitoring module is arranged on both sides of the traffic trunk line, and the noise monitoring module is communicatively connected with the acquisition module; It includes a weather monitoring module; the weather monitoring module is in communication connection with the acquisition module; the weather monitoring module is composed of a rainfall sensor, a flow sensor, a wind speed sensor, and a displacement sensor; It includes an air monitoring module and a water quality monitoring module; the air monitoring module is connected to the acquisition module in communication; the water quality monitoring module is connected to the acquisition module in communication; It includes a display module; the display module is communicatively connected with the processing module; It includes a monitoring module; the monitoring module is communicatively connected with the acquisition module; The air monitoring module is composed of a gas sensor, a particle sensor, and a temperature and humidity sensor; The soil monitoring module is composed of a soil moisture sensor, a soil temperature sensor, and a soil pH sensor; the noise monitoring module is composed of a sound sensor and a noise meter; the acquisition module is a processor; the processing module is composed of a processor and a memory; the display module is a display screen; It comprises a city underground structure dynamic monitoring module; the city underground structure dynamic monitoring module is communicatively connected with the acquisition module; the city underground structure dynamic monitoring module is a distributed optical fiber acoustic wave sensor.