摘要：【中文】本发明涉及一种用于防除非耕地杂草的除草组合物。具体涉及一种包括草甘膦或其盐、二甲四氯或其盐和草铵膦或其盐的除草组合物。草甘膦、二甲四氯与草铵膦三者重量比范围选自10‑200:1‑50:1‑50，优选20‑150:1‑30:1‑30，进一步优选20‑120:1‑21:2‑22，尤其是260‑1060:8‑208:20‑220。最优选260:208:220、460:158:170、660:108:120、860:58:70、1060:8:20。活性成分含量之和为所述组合物总重量的1％～99％，优选10‑95％。所述组合物可制备成适用于农业生产的水溶性粒剂、水乳剂或微乳剂等剂型，尤其是水溶性粒剂。所述组合物用于防除非耕地杂草，特别是马唐(Echinochloacrusgalli(L.)Beauv.)、牛筋草(Eleusine indica(L.)Gaertn.)等。 【EN】The invention relates to a weeding composition for preventing and removing weeds in non-cultivated land. In particular to a weeding composition containing glyphosate or salt thereof, methoxone or salt thereof and glufosinate-ammonium or salt thereof. The weight ratio of the glyphosate, the methoxone and the glufosinate is selected from the range of 10-200:1-50:1-50, preferably 20-150:1-30:1-30, more preferably 20-120:1-21:2-22, especially 260: 1060:8-208: 20-220. Most preferably 260:208:220, 460:158:170, 660:108:120, 860:58:70, 1060:8: 20. The sum of the contents of the active ingredients is 1 to 99 percent of the total weight of the composition, and preferably 10 to 95 percent. The composition can be prepared into water-soluble granules, aqueous emulsion or microemulsion and other dosage forms suitable for agricultural production, in particular to the water-soluble granules. The composition is used for preventing and killing non-cultivated land weeds, in particular to crab grass (Echinochlorrucalla (L.) Beauv.), Eleusine indica (L.) Gaertn and the like.

摘要：【中文】本发明涉及一种用于防除非耕地杂草的除草组合物。具体涉及一种包括草甘膦或其盐、三氯吡氧乙酸或其盐和草铵膦或其盐的除草组合物。该组合物中活性成分的重量比重量比范围选自10‑100:1‑50:1‑50，优选10‑80:1‑30:1‑30，进一步优选10‑60:1‑20:1‑20，尤其是13‑53:1‑11:1‑11。活性成分含量之和为所述组合物总重量的1％～99％，优选10‑95％。所述组合物可制备成适用于农业生产的悬浮剂、水分散粒剂、水乳剂、微乳剂或乳油剂型，尤其是可湿性粉剂。所述组合物用于防除非耕地杂草，特别是马唐、香附子、小飞蓬、反枝苋、稗草、谷莠子、马泡瓜和苘麻。 【EN】The invention relates to a weeding composition for preventing and removing weeds in non-cultivated land. In particular to a weeding composition containing glyphosate or salt thereof, triclopyr or salt thereof and glufosinate or salt thereof. The weight-to-weight ratio of the active ingredients in the composition is selected from 10-100:1-50:1-50, preferably 10-80:1-30:1-30, more preferably 10-60:1-20:1-20, especially 13-53:1-11: 1-11. The sum of the contents of the active ingredients is 1 to 99 percent of the total weight of the composition, and preferably 10 to 95 percent. The composition can be prepared into a suspending agent, a water dispersible granule, an aqueous emulsion, a microemulsion or an emulsifiable concentrate type, in particular to wettable powder, which is suitable for agricultural production. The composition is used for preventing and killing uncultivated land weeds, in particular crabgrass, cyperus rotundus, erigeron breviscapus, amaranthus retroflexus, cockspur grass, picrass, cudweed and piemarker.

摘要：【中文】本发明公开了一种数据驱动的电量传感器误差在线评测闭环改进方法、系统及介质，本发明包括创建第n次迭代的电量传感数据修正模型集合；采集电量传感数据生成传感数据集合；根据电量传感数据修正模型集合生成第n次迭代后的电量传感数据修正系数集合，修正电量传感数据集合生成修正数据集合；将按照开环数据驱动算法对修正数据集合开展电量电量传感器误差推演形成推演结果；不满足结束条件则更新迭代次数n及电量传感数据修正模型，累积电量传感数据修正系数集合后继续迭代；否则输出迭代结果。本发明不需现场试验，不需改变物理系统的拓扑，不影响物理运行，能够有效提升结果推演准确性，提高推演模型泛化性，实现高效安全，不影响物理系统。 【EN】The invention discloses a data-driven electric quantity sensor error online evaluation closed-loop improvement method, a system and a medium, and the method comprises the steps of establishing an n-th iteration electric quantity sensing data correction model set; collecting electric quantity sensing data to generate a sensing data set; generating an electric quantity sensing data correction coefficient set after the nth iteration according to the electric quantity sensing data correction model set, and correcting the electric quantity sensing data set to generate a corrected data set; carrying out electric quantity and electric quantity sensor error deduction on the correction data set according to an open-loop data driving algorithm to form a deduction result; if the end condition is not met, updating the iteration number n and the electric quantity sensing data correction model, and continuing iteration after accumulating the electric quantity sensing data correction coefficient set; otherwise, outputting an iteration result. The method does not need field test, does not need to change the topology of the physical system, does not influence physical operation, can effectively improve the result deduction accuracy, improves the generalization of a deduction model, realizes high efficiency and safety, and does not influence the physical system.