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MPM258型I²C數字壓力傳感器芯體
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展會信息

無線智能傳感器：工業互聯網的正確打開方式

時間 : 2020-09-11 作者 : 花季app入口黄有限公司

信息時代的來臨讓“萬物互聯”成為可能，人們生產生活的各個領域都面臨著智能化轉型的需求，工業同樣面臨著新一輪產業革命的契機。以智能化為核心的工業互聯網的提出，正契合了物聯網與工業領域融合的趨勢，未來市場發展潛力巨大。而隨著今年“新基建”的發布和落地，工業互聯網開始步入發展的快車道。

其發展的核心之一是工業過程的智能監測。而工業行業監測仍所存在著一些痼疾，如：人工巡檢，人力成本高；一些應用現場條件復雜，無法進行接電。

因此，無線智能監測終端應運而生。

無線智能監測終端采用高精度高穩定性擴散硅芯片，支持點到點、點到多點、串口到串口的應用，通過GPRS無線網絡傳輸數據，只要有手機信號的地方就可以實現無線監控。

從而可以對工業過程中各參量數據進行實時監測、存儲、傳輸與分析，實現過程檢測、設備監控、數據采集、實時控制等能力，幫助工業各生產領域的智能監測、智能控制、智能決策、智能維護水平等不斷提高。

l 設備生命周期管理：基于GIS管理系統，位置分布，設備狀態等信息清晰可見。

l 微信/郵件告警推送：支持管理人員綁定，設備信號、監測參量等異常信息實時通過微信/郵件推送告警。

支持第三方平臺對接，管理更便捷

支持本地數據存儲，拒絕數據丟失

應用場景

熱力行業

MPM6861系列無線智慧監測儀表現已全系上線花季app下载地址傳感微商城

快來體驗智能化監測的魅力吧！

上一篇: 花季app下载地址新品發布，消盾寶系列壓力，液位變送器產品

下一篇: 智慧城市建設，你還在用傳統測量嗎？智能無線測量神器來了！

精選案例內容

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想要了解更多詳細的產品資訊與方案詳情，歡迎聯系花季app下载zaixian，花季app下载地址將會為您提供更加專業的解決方案.

花季app入口黄股份有限公司

中國陜西省寶雞市英達路18號，郵編：721006

電話: 400-801-6306

郵箱: info@lbtas.com

花季app入口黄有限公司，始于1971年，專注壓力、液位、流量、溫度以及物聯終端儀表的研發制造。產品廣泛應用于：石油化工、水利水務、工業控制、市政消防、智慧城市、航天航海、食品醫藥等領域。
公司主營產品：差壓傳感器，壓力變送器，液位變送器，溫度傳感器，電磁流量計，渦街流量計、壓力開關、超聲波流量計、液位傳感器、液位計、質量流量計、流量開關、渦輪流量計、雷達液位計、雙金屬溫度計、蒸汽流量計、雷達物位計、氣體流量計、液位開關、液位控制器、水位計、壓力控制器、壓阻式壓力傳感器、科里奧利質量流量計、水流量計、污水流量計、氣體壓力傳感器、高精度壓力傳感器、智能電磁流量計、數字壓力傳感器、智能壓力變送器、差壓開關等產品。花季app入口黄傳感為全球100多個國家和地區的客戶，提供流體介質測量的特定產品解決方案。

Sitemap 營業執照 2023 花季app入口黄有限公司陜ICP備 14007510號-2

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[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 602 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000528s ]
[ SQL ] SHOW COLUMNS FROM `qy_industres` [ RunTime:0.000793s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (602,610,611) AND `hot` = 1 LIMIT 2 [ RunTime:0.000395s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 603 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000513s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (603,619) AND `hot` = 1 LIMIT 2 [ RunTime:0.000354s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 604 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000553s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (604,672,643) AND `hot` = 1 LIMIT 2 [ RunTime:0.000371s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 605 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000539s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (605,612,613,614,644,646) AND `hot` = 1 LIMIT 2 [ RunTime:0.000344s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 606 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000521s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (606,647) AND `hot` = 1 LIMIT 2 [ RunTime:0.000356s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 607 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000514s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (607,615,648) AND `hot` = 1 LIMIT 2 [ RunTime:0.000389s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 608 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000500s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (608,649) AND `hot` = 1 LIMIT 2 [ RunTime:0.000365s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 609 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000540s ]
[ SQL ] SELECT * FROM `qy_industres` WHERE `cate` IN (609,616,617,618,655,656,657,658) AND `hot` = 1 LIMIT 2 [ RunTime:0.000399s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 38 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000551s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 110 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000521s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 36 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000501s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 67 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000542s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 68 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000527s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 601 AND `state` = 1 ORDER BY `sort` ASC [ RunTime:0.000592s ]
[ SQL ] SELECT * FROM `qy_menu` WHERE `pid` = 19 AND `state` = 1 ORDER BY `sort` DESC [ RunTime:0.000694s ]

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