In face of numerous students " injury accidents in the primary and ial insujunior high school , we should set up the omni - directional safe precaution systems of the family , school and society at first , to reduce this type of accident to the minimum limit ; secondly , we should set up the fast and effective crash handling procedure , and perfect the socrance system , to reduce the loss to minimum at accident and make the suffer receive heavy compensation most ; at last we should accelerate the relevant legislation , set up just education judicial system , protect the students of the primary and junior high school and lawful rights and interests of the school with the law 第三部分：中小学学生伤害事故的对策。面对频频发生的中小学学生伤害事故，首先应建立起家庭、学校、社会的全方位安全防范体系，将此类事故减少到最小限度；其次要建立快速有效的事故处理程序，完善社会保险制度，将事故损失降到最低程度，使受损方得到最大补偿；最后应加快相关立法，建立公正的教育司法制度，用法律来保护中小学学生及学校的合法权益。
The operation reliability of the power transformer as the key equipment in electrical power systems , influences operation security of electrical power systems directly . the components and contents of gases dissolved in transformer oil can be used to reflects internal insulation faults of operating transformer . in order to overcome the errors caused by complex handling procedure and man - made factors using general chromatogram analysis method , author brings forward an on - line detecting of gases dissolved in transformer oil by using macromolecule polymer to separate oil and gases automatically and an information fusion technology of multi - sensors ; at the same time , in order to improve the accuracy and reliability , author uses neural networks to diagnose transformer faults 变压器作为电力系统的枢纽设备，其运行可靠性直接影响电力系统的安全运行；变压器油中溶解气体的成分和含量能有效体现运行变压器内部的绝缘故障情况，为解决常规色谱分析中复杂的操作程序和由于人为因素引起的较大的误差，论文提出了应用高分子聚合膜实现变压器油气自动分离、多传感信息融合技术智能检测多种气体成分的变压器油中溶解气体在线监测技术，应用神经网络智能诊断方法实施故障诊断，提高变压器故障诊断的准确性和可靠性。
