此页面暂未提供您所用语言的版本。 经审校的译文正在准备中，您当前浏览的是英文版本。
DE · 德国
工业 4.0 与中型企业现代化，精工细作
面向德国制造商与中型企业，iQsolutions 提供工业互联、渐进式现代化与隐私优先的 AI 工程服务，在尊重成熟流程的同时，使其向数据与自动化敞开。
重点领域
- 01
Industrie 4.0 systems
Connecting machines, sensors and production systems to analytics and intelligent automation through industrial IoT, SCADA integration and edge computing, using OPC UA and MQTT-based architectures that respect the reliability demands of the shop floor.
- 02
Mittelstand modernization
Incremental modernization of long-lived ERP-adjacent applications, custom software and integrations for mid-sized manufacturers and suppliers, preserving proven processes while opening them to APIs, cloud services and AI-assisted operations.
- 03
Privacy-first AI
AI systems designed around GDPR from the start: data minimization, purpose limitation, EU hosting options, documented processing and human oversight, with attention to EU AI Act obligations as they phase in.
合作方式
iQsolutions works with German organizations remotely, as the engineering brand of iQmindset Corporation, a US company. Engagements are structured, documented and transparent, with shared repositories, written decisions and clear acceptance criteria for every increment.
Germany is typically six hours ahead of US Eastern time. Joint sessions are concentrated in the German afternoon, decisions are confirmed in writing, and asynchronous reviews keep work moving between overlap windows.
Engagements are conducted in English, and we plan for German-language interfaces, documentation and content where products require them. We design with GDPR and the BDSG in view, agree EU data residency where needed, and account for works council involvement when systems touch employee data.
重点服务
工业物联网
将 PLC、历史数据库与工厂设备连接至分析平台与企业系统的工业物联网工程，并在设计中内置 OT 安全与网络分段。
SCADA 集成
以安全、以只读为主的方式，将 SCADA 与控制系统数据接入企业分析平台：网络分段、受治理的数据流，且仅实施经工厂批准的变更。
遗留系统现代化
以渐进方式对老化的核心系统进行现代化改造——从大型机与 COBOL 到客户端/服务器平台——采用绞杀者模式迁移，确保业务持续运转。
ERP 解决方案
基于 Odoo、SAP 与 Dynamics 365 的 ERP 实施、扩展与集成，让财务、供应链与运营依托同一套可靠的数据记录协同运转。
AI 治理与可靠性
确保 AI 系统负责任运行的制度、评估实践、控制措施与监控机制，与 NIST AI RMF、ISO/IEC 42001 及不断演进的监管要求保持一致。