{"id":2404,"date":"2025-08-07T03:03:51","date_gmt":"2025-08-07T03:03:51","guid":{"rendered":"http:\/\/www.xingshitu.com\/?p=2404"},"modified":"2025-08-07T03:03:51","modified_gmt":"2025-08-07T03:03:51","slug":"%e4%bb%8e%e5%9b%ba%e5%ae%9a%e7%ab%99%e5%88%b0%e6%99%ba%e4%ba%91%e7%8a%ac-%e7%94%9f%e6%80%81%e7%9b%91%e6%b5%8b%e7%9a%84%e6%99%ba%e8%83%bd%e8%bf%9b%e9%98%b6","status":"publish","type":"post","link":"http:\/\/www.xingshitu.com\/en\/2025\/08\/07\/%e4%bb%8e%e5%9b%ba%e5%ae%9a%e7%ab%99%e5%88%b0%e6%99%ba%e4%ba%91%e7%8a%ac-%e7%94%9f%e6%80%81%e7%9b%91%e6%b5%8b%e7%9a%84%e6%99%ba%e8%83%bd%e8%bf%9b%e9%98%b6\/","title":{"rendered":"From Fixed Stations to Smart Cloud Dogs - The Intelligent Progression of Ecological Monitoring"},"content":{"rendered":"
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On the afternoon of July 23rd, although it was raining continuously, in the ecological monitoring station of Daman farmland in Zhangye Heihe River Basin, Prof. Qu Yonghua, the founder of the company, enthusiastically showed the experts from the Ministry of Science and Technology and the Ministry of Ecology and Environment two representative products of StarView: the automatic leaf area index monitoring system which has been in service for more than 7 years, and the brand-new bio-observation Zhiyun dog, with the real-time display of the data. The old and the new outlined the clear trajectory of ecological monitoring technology from \"keep\" to \"behavior\".<\/p>\n\n\n

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I. Cornerstones<\/strong><\/p>\n\n\n\n

Distributed leaf area index monitoring system<\/p>\n\n\n\n

As the company's early core product, this distributed system in Zhangye's vast agro-ecosystems through theSensor nodes automatically and continuously measure vegetation transmission radiation<\/strong>The first large-scale and long time-series ground validation experiment of leaf area index was successfully implemented in the Heihe River Basin, and a framework for the inversion of remote sensing parameters combining ground observation, satellite data and dynamic models was established, which successfullytackle<\/strong>The traditional leaf area observations ofPoor data availability, single time phase<\/strong>and other pain points.<\/p>\n\n\n

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distributed networking<\/strong>
Through the scientific deployment of a network of fixed monitoring points, it is possible to realize the stable and automatic measurement of the growth status of regional vegetation over a long period of time;<\/p>\n\n\n\n


unattended observation<\/strong>
With automatic networking and data transmission capability, it is suitable for long-term continuous operation of field stations;<\/p>\n\n\n\n


Algorithmic Accuracy Guarantee<\/strong>
Inversion framework constructed based on a large-scale validation experiment in the Black River Basin (data are openly shared at http:\/\/www.tpedatabase.cn\/);<\/p>\n\n\n\n


sedimentation of academic value<\/strong>
The technical achievements were awarded the Geographic Information Science and Technology Progress Award and cited in top journals such as Remote Sensing of Environment.<\/p>\n\n\n\n

II. Leapfrogging<\/strong><\/p>\n\n\n\n

Biological Observation Smart Cloud Dogs<\/p>\n\n\n\n

The newly developed Biological Observation Smart Cloud Dog represents a breakthrough in the mobility and intelligence of ecological monitoring. It is a deep integration of robotics technology and professional ecological observation equipment, and has appeared in many domestic and international science and technology exhibitions and public science day activities, and has been well received by the public and recognized by experts.<\/p>\n\n\n

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Autonomy and flexibility<\/strong>
With autonomous navigation, environment sensing and path planning capabilities, it can move freely in complex terrain (\u226430\u00b0 slope, 15cm obstacle height), arrive at the observation point on demand, and autonomously plan the collection time and route;<\/p>\n\n\n\n


functional integration<\/strong>
A single device integrates multiple tasks such as video image acquisition, radar environment scanning, biological observation (e.g., calculation of climatic index, leaf area, coverage, species identification, tree height, diameter at breast height, structural parameters of plants, etc.) to realize multi-parameter collaborative real-time acquisition and calculation;<\/p>\n\n\n\n


dynamic response<\/strong>
Significantly improve the observation flexibility and efficiency, especially suitable for emergency monitoring, mobile verification, special area exploration and other fixed equipment difficult to cover the scene.<\/p>\n\n\n\n

III. Synergistic evolution to build an ecological perception network<\/strong><\/p>\n\n\n\n

Mr. Qu emphasized that old and new equipment are not substitutes, but complementary and synergistic.<\/p>\n\n\n

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Fixed systems are \"silent guardians.\"<\/strong>
Continuous power supply to provide a long-term, high-precision background data stream is a stable anchor for ecological research;<\/p>\n\n\n\n


Jiyun Dogs are \"smart observers.\"<\/strong>
Expand monitoring boundaries with mobility for on-demand, dynamic data access and enhanced network responsiveness;<\/p>\n\n\n\n


The value of integration<\/strong>
Data fusion between the two (e.g., SmartCloud dogs verifying fixed-point data and supplementing special area information) will build a more complete and smarterEco-IoT sensory networks, so that research can also be fun<\/strong>!<\/p>\n\n\n\n

IV. Conclusion<\/strong><\/p>\n\n\n\n

From the distributed fixed station rooted in a corner, to the agile and autonomous Observation Smart Cloud Dog, the evolution of technology has always served a goal:Interpret nature more accurately and efficiently.<\/strong>Whether it is the stability of the old equipment or the dynamic exploration of the new machine, it reflects the company's technology accumulation in the field of ecological monitoring and pragmatic innovation. In the future, this synergistic mode of \"fixed + mobile\" will provide stronger data support and insight for ecological protection and research.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

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