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MVR蒸发器

应用概述

MVR蒸发设备需要使用智能压力变送器监测分离器的液位，进行加料控制；监测冷凝水罐的液位，为冷凝器及时补给水，让泠凝器达到迅速冷凝；同时监测原料罐以及母液罐的原液液位高度，当液位消耗的时候，加原液保持工艺的正常进行。使用智能温度变送器在加热器中监测蒸汽温度，持续的加热原液，进行溶液、溶质的分离，同时监测分离器的腔体温度，将溶质和溶剂进行高效分离。使用流量计计算进料泵原料液的体积，累计流量。

应用挑战：

工业废水在蒸发阶段，介质通常处于密封压力容器内高温高压状态，具有腐蚀性，同时被测介质由于环境温度变化会产生固化或者结晶，每次更换一批介质需严格净化测量头，在悬浮液体和高粘度介质情况下，测量头必须保持清洁卫生。

解决方案优势：

1、提供法兰隔膜式智能压力变送器，毛细管填充硅油选用耐高温硅油，耐腐蚀，精度高

2、配备温度变送器监测蒸汽温度和腔体温度

3、防护等级高，使用寿命长，无需频繁进行人工维护

污水处理专用仪表

压力测量仪表

MDM7000-LP型智能差压变送器

MDM7000-LP型智能差压远传变送器采用先进的单晶硅压阻技术。产品用于测量液体，气体或蒸汽的液位、密度、以及压力，将差压信号转化为4mA~20mA DC 模拟电流信号输出，同时可通过通信设备实现远程设定、监控等功能。适合苛刻的流程化工业领域。

详情

液位测量仪表

MDM7000-LT型智能液位变送器

MDM7000-LT 型智能差压液位变送器采用先进的单晶硅压阻技术。产品用于测量液体，气体或蒸汽的液位、密度、以及压力，将差压信号转化为 4mA~20mA DC 模拟电流信号输出，同时可通过通信设备实现远程设定、监控等功能。适合苛刻的流程化工业领域。

详情

温度测量仪表

MTM4831型温度变送器

MTM4831型温度变送器可直接测量-200℃～500℃范围内各种液体、气体介质以及固体表面的温度。采用专用温度模块，对感温元件进行线性修正，输出标准模拟信号和数字信号。产品使用方便，输出形式多样，可满足石油、化工、冶金、电站、轻工等领域各种不同现场的温度测量要求。

详情

流量测量仪表

MFE600E型一体式电磁流量计

MFE600E系列电磁流量计具有测量精度高、可靠性高、稳定性好、使用寿命长等特点。产品采用了带背光宽温区的液晶显示器、功能齐全实用，显示直观、操作使用方便、可以减少现场安装使用维护的麻烦。广泛的应用于石油、化工、冶金、给排水、钢铁、煤炭、造纸、食品、轻纺、环保等工业部门及市政管理，水利建设等领域。

详情

新闻与活动

#产品动态

新品发布 | 流程工业MDM6000型智能压力变送器，适用于石油化工、食品医药等行业

2023-02-27详情

#企业动态

企业动态 | 新普京澳门娱乐场网站亮相第十四届中国石油化工重大工程仪表控制技术高峰论坛

2023-03-30详情

#产品动态

新品发布丨MPM483DM型数显智能压力变送器，适用于石油化工、燃气等行业

2023-04-18详情

#展会信息

展会动态 | 新普京澳门娱乐场网站亮相中国(淄博)国际化工科技博览会，促进工业数字化与可持续双转型

2024-05-22详情

相关行业应用

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  化工现场自控

  在化工行业，精确监测和控制压力、液位、温度和流量是确保生产安全和产品质量的关键。我们的综合监测解决方案提供了一整套先进的传感器和智能控制仪表，能够实时、精确地监测这些关键参数，并通过数据集成和分析优化生产过程。

  查看详情

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基本 文件 流程 错误 SQL 调试

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52. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 26 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000444s ]
53. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 23 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000410s ]
54. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 633 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000420s ]
55. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 673 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000426s ]
56. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 682 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000450s ]
57. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 685 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000474s ]
58. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 38 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000436s ]
59. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 110 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000426s ]
60. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 36 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000437s ]
61. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 67 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000445s ]
62. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 68 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000422s ]
63. [ SQL ] SHOW COLUMNS FROM `qy_download` [ RunTime:0.000702s ]
64. [ SQL ] SELECT * FROM `qy_download` WHERE `id` = 0 LIMIT 1 [ RunTime:0.000242s ]
65. [ SQL ] SELECT * FROM `qy_menu` WHERE `id` = 70 ORDER BY `addtime` DESC LIMIT 1 [ RunTime:0.000234s ]
66. [ SQL ] SELECT * FROM `qy_menu` WHERE `id` = 69 ORDER BY `addtime` DESC LIMIT 1 [ RunTime:0.000234s ]
67. [ SQL ] SELECT * FROM `qy_menu` WHERE `id` = 70 ORDER BY `addtime` DESC LIMIT 1 [ RunTime:0.000249s ]
68. [ SQL ] SELECT * FROM `qy_menu` WHERE `id` = 71 ORDER BY `addtime` DESC LIMIT 1 [ RunTime:0.000253s ]
69. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 601 AND `state` = 1 ORDER BY `sort` ASC [ RunTime:0.000442s ]
70. [ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 19 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000427s ]

0.062080s

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