Yitan app
1.0.0
The Yitan app is a camera app that focuses on gas detection and operation monitoring. It can create an efficient, convenient and practical tool for users. It supports both iOS and Android platforms and realizes cross-platform management. The system integrates a variety of Security protection mechanisms, including account security, video security, data security, etc., help users operate safely, using intelligent algorithms and big data analysis technology to achieve all-round monitoring of the environment and operating scenarios.
1. Camera monitoring: supports multi-channel video access, monitors the work site in real time, and reduces safety risks;
2. Gas detection: It can detect the concentration of oxygen, carbon dioxide and other gases in real time to ensure operational safety;
3. Operation monitoring: Supports recording of the operation process and saving it offline to facilitate later review.
1. Equipment management: All equipment can be configured and managed to ensure the stability and reliability of the equipment;
2. Abnormal alarm: Real-time monitoring of the work site, when low oxygen, high temperature, liquid level and other abnormal alarms are detected;
3. Data analysis: Able to automatically record and analyze job data to evaluate and optimize job quality.
1. Reduce duplication of work: Through intelligent monitoring and data analysis, it is easy to judge the work status and reduce redundant work;
2. Reduce personnel risks: Use unmanned on-site monitoring to reduce personnel risks and enable better monitoring and use;
3. Visual management: Supports real-time video monitoring and data visualization analysis to improve the efficiency of management decision-making.
1. Integrate multiple functions of camera monitoring, gas detection and operation monitoring to meet the all-round supervision needs of the work site;
2. The software supports multiple device access and multi-platform use, has wide applicability, and is suitable for a wide range of scenarios;
3. Excellent comprehensive performance, abnormal alarm, data analysis and other functions have brought real improvements to operational risk supervision.
