デジタル化工場の新たな挑戦
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データ孤島設備
設備の型番が違っていて、データの保存方法が違っています。データはローカルでしか収集できません。データは集中管理できず、関連分析が困難です。
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システムのドッキングが複雑
設備と伝統的なシステムのドッキングは統一的なデータ基準がなく、システムのドッキング効率が低く、互換性が悪い
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リソース統合の困難を監視する
モノネットワーク設備は多種の通信プロトコルと互換性が必要で、インタフェース仕様とネットワークプロトコル基準が多く、変換が複雑である
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メンテナンスコストが高く、開拓性が悪い
伝統的な企業は設備技術者が現場に駐留して設備を監視し、維持する必要があり、人件費が高い
なぜ貝鋭タンポポを選んだのか
基礎ネットワーク技術のすべてのアップグレード
より基礎層の2層ネットワークデータ処理能力を実現
自己研究クラウドDHCP技術
設備のIPアドレスを統一的に管理し、オフサイトのネットワークIP割り当ての課題を解決する
自己研究ネットワーク間の実際のARP学習
リモートデバイスのipアドレス、MACアドレスの対応関係を通じ、2層ネットワーク内部通信を実現する
自己研究ARPフィルタ技術
複数のゲートウェイの衝突問題を解決し、ネットワークの輸出を統一する。
生産設備相互接続
設置間の物理的な間隔を広げ、設備ネットワークを構築し、設備間のデータ相互運用を実現する
生産設備の状態監視
生産設備パラメータをリアルタイムで監視し、設備異常を即時にフィードバックし、イベントフィードバックの効率を高める
エネルギー消費量の収集検査
各種類のエネルギー計器のエネルギー消費データを収集し、エネルギー消費分析を行い、省エネ削減を支援する
環境データモニタリング
各種類の環境指標をリアルタイムで監視し、生産環境の安定を確保し、環境事故の発生を防止する
生産設備相互接続
設置間の物理的な間隔を広げ、設備ネットワークを構築し、設備間のデータ相互運用を実現する
生産設備の状態監視
生産設備パラメータをリアルタイムで監視し、設備異常を即時にフィードバックし、イベントフィードバックの効率を高める
エネルギー消費量の収集検査
各種類のエネルギー計器のエネルギー消費データを収集し、エネルギー消費分析を行い、省エネ削減を支援する
環境データモニタリング
各種類の環境指標をリアルタイムで監視し、生産環境の安定を確保し、環境事故の発生を防止する