As the overall standard of living in society continues to rise, people’s demand for both the quantity and quality of livestock products has significantly increased. Economically, the livestock industry also serves as a major pillar supporting rural economies. In recent years, documents such as the "Opinions of the CPC Central Committee and the State Council on Comprehensively Promoting Rural Revitalization and Accelerating Agricultural and Rural Modernization" and the "Digital Village Development Action Plan (2022–2025)" issued by the State Council and the Ministry of Agriculture and Rural Affairs have all emphasized the need for smart upgrades in the livestock sector. As a result, the livestock industry is poised to enter a new era of growth, steadily moving toward smarter, more modernized operations.
Intelligent scheduling system focused on real-world operations: pre-emptive task planning, real-time monitoring of execution, and continuous accumulation of mission outcomes.
The 2021 Central Document No. 1 stated: "Develop smart agriculture, establish a big data system for agriculture and rural areas, and promote the deep integration of next-generation information technology with agricultural production and management. Strengthen digital and intelligent upgrades in rural public services, social governance, and other areas. Implement a project to enhance comprehensive service facilities at the village level."
Traditional regulatory approaches struggle to conduct in-depth analysis of surveillance data, making it difficult to identify patterns, causes, and trends in incineration incidents—and thus unable to provide the scientific foundation needed for developing targeted policies and measures to manage and enforce burn bans effectively.
Prevention, diagnosis, and treatment of "diseases" related to data—data governance solutions serve as the tools designed to prevent, diagnose, and cure these data-related "illnesses."
Distribution network operations involve numerous, widely dispersed work sites with complex environments, making management and control particularly challenging. At the same time, safety inspectors are limited in number, making it difficult to conduct comprehensive, on-site inspections across all locations. Relying on spot checks to oversee broader areas often fails to provide adequate coverage of the entire operation scope. Additionally, video monitoring requires manual review, placing significant strain on inspectors who must constantly watch screens. In remote areas, on-site supervision is not only inefficient but also comes with high labor costs, leaving blind spots in oversight—and adding to the risk of traffic accidents during travel to these isolated sites.
Help ensure that inspection units carry out verification work comprehensively, professionally, and in compliance with standards, enabling them to easily meet the integrity assessments conducted by regulatory authorities.
An application platform integrating video surveillance networking with AI-powered video structural analysis, supporting cross-segment, multi-vendor, and multi-protocol connectivity—while reducing AI costs and enabling greater scalability and standardization of business operations.
