Degradation strategies of pesticide residue:From chemicals tosynthetic biology

The past 50 years have witnessed a massive expansion in the demand and application of pesticides.However,pesticides are difficult to be completely degraded without intervention hence the pesticide residue could pose a persistent threat to non-target organisms in many aspects.To aim at the problem of the abuse of pesticide products and excessive pesticide residues in the environment,chemical and biological degradation methods are widely developed but are scaled and insufficient to solve such a pollution.In recent years,bio-degradative tools instructed by synthetic biological principles have been further studied and have paved a way for pesticide degradation.Combining the customized design strategy and standardized assembly mode,the engineering bacteria for multi-dimensional degradation has become an effective tool for pesticide residue degradation.This review introduces the mechanisms and hazards of different pesticides,summarizes the methods applied in the degradation of pesticide residues,and discusses the advantages,applications,and prospects of synthetic biology in degrading pesticide residues.

基于图像增强识别的风电场巡检机器人设计

为实现风电场巡检机器人全面代替人工巡检,对电站设备进行实时监测。研究利用迭代最近点法和红外与可见光的图像处理生成云匹配电子地图。然后利用遗传算法巡检任务路径进行规划。最后利用图像增强识别技术识别巡检设备。由此设计了基于图像增强识别的风电场巡检机器人。实验得到,平均识别准确率为95.54%,规划路径平均长度为345 m。由此可分析出,巡检机器人能够实现高效且准确的风电场巡检任务,为电站建设提供技术支持。