microsonic 超声波传感器 希而科
microsonic 超声波传感器 希而科
德国Microsonic超声波传感器能检测各种形态的物体,如固体、液体和粉体。可以准确识别各种材料和颜色,也可以识别透明材料和薄膜,甚至细线。Microsonic超声波传感器具有计数、检测有无和检测料位等功能。其在恶劣的工业环境中也能正常工作,可以透过污浊的空气和水雾进行检测,即使传感器上有薄的灰尘,也不影响其功能。Microsonic产品经过的德国机构(TÜV Rheinland) 认证,并符合DIN EN ISO 9001标准。
新技术的应用使得今天的超声波传器前能经受恶劣环境的考验, Microsonici超声波传器的特点:
1.防护等极IP67的超声波传器可用于湖湿的环境中,比如瓶子清洗机器;
2.内置温度补电路,在正常工作状态下,当有明显的温度变化时,由温度补信电路进行校对以减少温度影响;
3.Teon型号的超声波传器的表面有一种待殊涂层可以用来抵读性介质的侵蚀;
4.不锈钢耐压型超声波传器可用于正压大6bar的容器内检测料位
5.先进的滤波电路可以让超声波传器屏现场干扰
6.简单易设置键和背景抑制功能可以使超声波传器广泛应用于各种场合,可皆换光电传器;
7.新型传器感应头有着更强的自我保护能力,适用于粉尘重等场合
1、技术特征/特性
控制项:2个按钮+ LED显示屏(TouchControl)
设置范围:通过带LinkControl的TouchControlLCA-2进行示教和数字配置
指标:3位数字LED显示屏,2个三色LED
特殊性:高耐化学腐蚀不锈钢版
材料:不锈钢,塑料件:PBT,TPU
超声波换能器:涂有PEEK膜,PTFE O形圈
符合EN 60529的防护等级; IP 67
工作温度: -25°C至+ 70°C
贮存温度: -40°C至+ 85°C
重量: 150克
2、工作模式
模式:接近开关/反射模式、反射屏障、窗口模式
测量方法:反射屏障
换能器频率:320 kHz
盲区: 30毫米
工作范围:250毫米
大检测范围:350毫米
分辨率/采样频率:0.025毫米
工作电压:直流9-30 V,反极性保护
空载电流损耗:≤ 80 mA
连接类型:5针M12启动器插头
应用环境:可选择性地用于常压或高压下,用于需要高度耐化学腐蚀的环境
参数:
1、输出
输出1:开关输出、pnp:I max = 200 mA(U B -2V)、NOC / NCC可调,防短路
开关滞后:3毫米
开关频率: 25赫兹
响应时间:32毫秒
延迟可用性: <300毫秒
2、输入
输入1: com输入、同步输入
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)
希而科贸易(上海)有限公司是一家总部在德国,并在上海张江高科园注册的德资企业,致力于为国内客户提供优质惠价的德国及欧洲生产的各类工控自动化产品、仪器仪表、备品备件等,保证原装正品,保证客户满意放心。
我公司与美国、德国、英国、法国、意大利、丹麦、瑞士等工业发达国家的几百家生产各种器材的厂商建立和加强了广泛的合作配套关系。并通过多种渠道,确保及时、准确地为客户提供优质进口器材。
经过多年的发展,本公司已经在国内、外建立了庞大的供需网络。我们急国内企业所急,快速、及时、准确地向各行各业提供各种进口工业器材和质优价廉的备品备件。衷心期待与您,与贵公司的合作!
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