Industrial Intelligent Risk Prevention and Greenhouse Gas Management System
Patent Information
- Application Number
- TW115204237
- Authority / Receiving Office
- TW · TW
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-05-12
- Publication Date
- 2026-09-01
- Estimated Expiration
- 2036-05-11
Smart Images

Figure TWG2TB001909438_001 
Figure TWG2TB001909438_002 
Figure TWG2TB001909438_003
Abstract
Claims
1. An industrial intelligent risk prevention and greenhouse gas management system, comprising: an image acquisition module for acquiring an image of a building to generate a building image; a risk detection module for processing multiple input source coefficients within the building and outputting a disaster detection value; a greenhouse gas emission detection module for detecting a greenhouse gas within the building and outputting a greenhouse gas emission equivalent; a risk and greenhouse gas analysis module electrically connected to the image acquisition module, the risk detection module, and the greenhouse gas emission detection module, wherein the risk and greenhouse gas analysis module receives the building image, the disaster detection value, and the greenhouse gas emission equivalent, and generates a risk assessment result and a greenhouse gas assessment result; and an alert module electrically connected to the risk and greenhouse gas analysis module, and outputs an alert message based on the risk assessment result and the greenhouse gas assessment result.
2. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1 further includes an Internet of Things (IoT) disaster prevention and warning control module and an IoT environmental optimization control module. The IoT disaster prevention and warning control module and the IoT environmental optimization control module are electrically connected to the risk and greenhouse gas analysis module and are used to receive the risk assessment results and the greenhouse gas assessment results to generate a disaster prevention prompt result and an environmental optimization prompt result, respectively.
3. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 2 further includes an indoor video monitoring module, which is electrically connected to the Internet of Things disaster prevention and warning control module and the Internet of Things environmental optimization control module, and is used to receive and display the disaster prevention prompts and environmental optimization prompts in real time.
4. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 2, wherein the disaster prevention alert result is used to analyze the emission sources of the building, and the environmental optimization alert result is used to provide a greenhouse gas reduction energy efficiency recommendation.
5. An industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the building comprises a factory, warehouse or production line.
6. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the warning information includes a greenhouse gas warning reminder and a disaster warning reminder.
7. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the warning information is delivered via a speaker or an LED light.
8. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the building image is stored in an image storage unit.
9. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the image capturing module includes a camera or a webcam.
10. The industrial intelligent risk prevention and greenhouse gas management system as described in claim 1, wherein the greenhouse gas emission detection module includes a greenhouse gas detector or a greenhouse gas sensor.