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林业科学 ›› 1996, Vol. 32 ›› Issue (6): 528-535.

• 论文及研究报告 • 上一篇    下一篇

森林害虫测报的电脑网络通信*

薛贤清1,陈泰峰2,夏霖3,林庆源4,王礼金4   

  1. 1. 南京林业大学 南京 210037
    2. 福建省森防站 福州 350003
    3. 南京林业大学 南京 210037
    4. 福建省森防站 福州 350003
  • 收稿日期:1995-07-18 出版日期:1996-11-25 发布日期:1996-11-25

COMMUNICATION THROUGH COMPUTER NETWORK IN PREDICTION OF FOREST PESTS

Xianqing Xue1,Taifeng Chen2,Lin Xia3,Qingyuan Lin4,Lijin Wang4   

  1. 1. Nanjing Forestry University Nanjing 210037
    2. Fujian Forest Protection Station Fuzhou 350003
    3. Nanjing Forestry University Nanjing 210037
    4. Fujian Forest Protection Station Fuzhou 350003
  • Received:1995-07-18 Online:1996-11-25 Published:1996-11-25

摘要:

通过研究实现了福建省森防站与福建省南平地区森防站、三明市森防站之间的异地远程森林害虫测报电脑网络的通信。达到自动化传递森林害虫测报信息的目的,替代了传统的缓慢信函传递形式。电脑网络通信具有快速、高效、准确与规范等特点。显著提高了森林害虫测报的时效性和准确性[1-3]。为我国森林病虫害测报网络系统的建立提供了基础理论和应用技术。

关键词: 森林害虫测报, 电脑网络, 通信

Abstract:

During the conference of forest pests protection held in China in 1990, it was urged by the State Forestry Department that computer network of prediction in forest pests should be established immediately and become the one part of prediction system of forest pests. Application of communication through computer network for prediction of forest pests was successful. It was carried on by Forest Protection Station in Fujian, Nanjing Forestry University, Nanping Forest Pretection Stationn in Fujian and Sanming Forest Protection Station in Fujian in 1994.The Fortune Fax communication system based on Great Wall Computers and distant telephone lines was used, according to HDLC communication rules. The distant computer network communication between cities (or regions) was realized at last, so that code information, numbers and prediction results of for est pest prediction could be sent out in fast speed immediately. It makes a breakthrough in the transndssion of prediction in formation of forest pests in our country, timeconsuming turns the conventional timeconsuming letter communication to fast computer transmission, which improves obviously the timeliness and precision of forest pests prediction and provides applied technique for computer network communication for forest pest prediction.

Key words: Forest pest, Prediction, Computer net, Communication