Accevo 智能工厂平台

基于微服务构建的云原生平台,由边缘计算和人工智能分析提供支持。.

80/20法则

专为各行业打造的解决方案套件,开箱即用

6–8 周

从起点到价值

云原生

微服务、边缘计算、支持人工智能

80/20法则

配置,而非编码

Over two decades and hundreds of manufacturing projects, we’ve encoded deep industry expertise into a comprehensive product. At least 80% of what your factory needs is already there — proven, tested, and ready to go live.

 
80/20法则图

For every key industry — pharma, F&B, FMCG, tobacco, and discrete manufacturing — Accevo offers dedicated suites with pre-built workflows, compliance frameworks, KPIs, and reports. Your specific needs are most likely already in the system before we even start talking.

The remaining 20% adapts to your specific needs through three flexible approaches: low-code extensions for UI and workflow customization, implementation configuration for process-specific parameters, or custom development for truly unique requirements.

Because the core product is already built, you don’t start from scratch. Configuration workshops replace months of requirements gathering and custom coding. First tangible results in weeks.

No open-ended development budgets. The 80/20 model means you know upfront what’s standard and what needs adaptation — making TCO transparent from day one.

为什么有效

每个模块都在同一平台上运行 坚实的基础

无论您是从OEE、无纸化还是完整的MES/MOM开始——每个模块都继承了平台的核心功能。没有信息孤岛,没有独立的数据库,也不需要在您现有的工具之间进行集成项目。.

自动设备连接

Every module instantly leverages the edge layer and pre-built connectors. OEE doesn’t need its own machine integration — data flows from the platform.

共享数据模型

OEE, Paperless, and MES data live in one unified model. Correlating quality with performance is native — no cross-system reports to build.

 

跨模块智能

Stop switching between systems to find the full picture. When a quality event happens, you instantly see the related production order, operator actions, and machine parameters — all in one view, all connected natively.

统一基准测试

Same KPI calculated the same way on every line, in every plant. Comparability out of the box — no alignment workshops needed.

 

从第一个模块开始就具备AI就绪能力

Even starting with OEE alone, the platform collects and contextualizes data ready for prediction. No need to wait for a “full rollout” to feed AI models.

部署速度

韦克斯,, 不是年

传统的MES项目通常需要12至18个月甚至更长时间,且存在范围蔓延、成本超支以及实施效果不佳的风险。平台模式改变了这一局面。.

MES

Accevo 平台

6–8 weeks to Go-Live
Cost vs. Value: Accevo’s platform approach delivers higher value-to-cost ratio by eliminating custom development, reducing resource commitments, and enabling realistic timelines from day one.
主数据图标

传统的 MES

12–18+ months

工业物联网与边缘计算

边缘到云端 — 连接每一台机器

边缘架构在解决云连接问题的同时,还能实现实时数据处理。Accevo 的边缘层在本地处理对延迟要求极高的操作,并将上下文相关的数据同步到平台。.

连接性

连接您已有的设备

Mixed shop-floor environments are the norm. Accevo supports the protocols and equipment families you’re already running.

OPC UA

Unified Architecture — secure, standardized communication with modern PLCs and SCADA systems

MQTT

Event-Driven Streaming — lightweight publish/subscribe messaging from IoT sensors and edge gateways

Modbus

Legacy PLC Support — connect older controllers without hardware upgrades or replacement

REST API

Universal Connector — HTTP-based integration with any system exposing an API endpoint

EDGE

Edge Computing Layer — local processing, buffering, and filtering. Keeps operating when connectivity drops.

S7 / AB

Direct PLC Connectors — native connectivity to Siemens S7, Rockwell/Allen-Bradley, Beckhoff, Mitsubishi

实时数据采集

Data collection as fast as every 100ms from machines, sensors, and control systems. Automatic, continuous — no manual entry points, no data gaps.

边缘优先的韧性

Process high-volume, low-latency data at the edge. Only aggregates and contextualized results flow to the cloud — reducing cost and ensuring uptime.

连接新旧设备

Pre-built connectors to major PLC brands and industrial historians. Connect your shop floor in days. Open to third-party IIoT platforms for maximum flexibility. With a strong team of automation engineers, we can connect every machine.

从第一天起就采用结构化数据

Every machine signal is contextualized and stored in a production-aware data model with a built-in historian powered by a time-series database. Your AI and analytics foundation builds itself automatically — no separate data infrastructure needed.

工业物联网与边缘计算

设计即开放。. 与万物互联。.

Accevo 并非要取代您的 IT 生态系统,而是对其进行增强。开放式 API 和预构建连接器可确保与您环境中的任何系统实现无缝数据流。.

Accevo 智能工厂

开放式API集成中心

ERP系统

SAP, Oracle, Dynamics — bi-directional sync of orders, BOM & materials.

实验室信息管理系统与质量管理体系

Quality management and lab systems for closed-loop quality control.

 

仓库管理系统与物流

Warehouse and supply chain for end-to-end material traceability.

商业智能与分析

Power BI, Tableau, Grafana — production data to your analytics stack.

SCADA

Direct integration with supervisory control and data acquisition systems.

积分方法 — 随心连接

Web Services

SOAP 与 Web 服务

Enterprise-grade web service integration for systems that rely on structured XML messaging. Full WSDL support for contract-based, reliable communication with legacy enterprise platforms.

Best for: ERP, PLM, and enterprise middleware (SAP PI/PO, BizTalk)

Rest API

RESTful API 与 Webhooks

Modern, lightweight JSON-based APIs with full OpenAPI documentation. Real-time webhooks for event-driven integration. The fastest path to connect cloud-native and modern applications.

Best for: Cloud apps, BI tools, custom dashboards, mobile apps

ODBC

ODBC / 数据库

Direct database connectivity for systems that work best with SQL-based data exchange. Read and write production data through standard ODBC drivers — no middleware required.

Best for: Reporting tools, data warehouses, legacy systems, direct DB access

Flat Files

平面文件交换

CSV, XML, and JSON file-based integration for systems without API capabilities. Automated file watching, parsing, and processing — including scheduled imports and exports.

Best for: Legacy ERP, lab instruments, regulatory data submissions

部署灵活性

本地部署。云端。SaaS。. 您的选择。.

MES领域的云采用正在加速,但数据主权和延迟要求各不相同。Accevo支持所有部署模式——无论是现在还是未来。.

数据仓

企业内部

Cloud adoption in MES is accelerating, but data sovereignty and latency requirements vary. Accevo supports all deployment models — today and tomorrow.

云原生

云(Azure / AWS)

Deployed in your Azure, AWS, or GCP account. You maintain data ownership and cloud governance while benefiting from scalability.

云原生

SaaS

Fully managed by Accevo on Azure or AWS. Automatic updates, no infrastructure overhead. You focus on production — we handle the platform.

低代码扩展

在不产生技术债务的情况下进行扩展

Extend the platform without accruing technical debt. Composability is the future of MES – and it’s already here in Accevo.

低代码界面构建器

Adapt operators screens, dashboards, and workflows to specific roles and plant needs. Business users become citizen developers – no IT bottleneck.

以 API 为中心的可扩展性

RESTful APIs with full OpenAPI spec. Extend functionality, build integrations, and connect to adjacent systems without touching the core. 

与核心解耦

All extensions run in a decoupled layer. Your customizations survive every platform upgrade. Zero technical debt, zero re-work on version updates.

模块化“枢纽-辐条”模式

Start with OEE, Paperless, or full MES?MOM. Each module works independently and connects to the shared data hub. Add modules as you grow.

// Extend without touching core

POST /api/v2/extensions/register

{

“module”: “quality-inspection”,

“trigger”: “batch.complete”,

“action”: “run-sampling-rule”,

“decoupled”: true

}

// Response

{

“status”: “registered”,

“upgrade_safe”: true,

“core_impact”: “none”
}

技术

现代技术栈。企业级。. 微服务架构。.

基于经过验证的现代技术构建——将企业系统的可靠性与云原生架构的敏捷性相结合。.

基于IaaC的云原生架构

Infrastructure as Code ensures repeatable, version-controlled deployments. Consistent environments from development to production across all instances.

IaaC

Terraform

Ansible

CI/CD

Cloud-Native

生产数据平台与历史数据记录系统

Time-series optimized historian built on PostgreSQL with TimescaleDB. Open-source foundation — no proprietary black box. Structured, queryable production data ready for analytics and AI/ML from day one.

PostgreSQL

OpenAPI

Historian

TimescaleDB

AI/ML Ready

边缘计算 — 物联网本地处理

Process time-critical data locally at the edge. Buffer, filter, and aggregate before syncing to the platform. Operates autonomously during connectivity drops.

Edge Gateway

Local Buffer

OPC UA

MQTT

现代应用程序堆栈

TypeScript and Node.js microservices on the backend, React on the frontend. Independently deployable, orchestrated with Kubernetes and Docker. Zero-downtime updates — each module scales autonomously on demand.

TypeScript

Node.js

React

Kubernetes

Docker

支持人工智能的平台

您制造业的数据基石 人工智能

GenAI is emerging in MES – from shop floor assistants to automated transactions. The prerequisite is structured, contextualized production data. Accevo builds it from day one. 

Natural-language queries against production data. “What was our yield on Line 3 last shift?” – answered instantly from live platform data.

AI-assisted creation of SOPs and process steps, leveraging existing recipes, equipment manuals, and historical best practices. 

ML models trained on your production data predict quality deviations and OEE anomalies before they impact output.

Equipment failure prediction based on time-series sensor data, maintenance history, and process correction analysis.

为什么 Accevo 默认就具备人工智能支持能力

Structured Data — every signal, action, and event captured in a production-aware schema from day one.

Contextualized — data linked to orders, products, equipment, and operators for immediate AI consumption.
Unified Data Model — no separate data lake projects needed. The platform IS your manufacturing data foundation.
Open for AI/ML — APIs and data pipelines designed to feed external AI platforms or Accevo’s built-in analytics.
Accevo 人工智能助手

设计即合规

法规 - 从第一天起就准备就绪。.

在受监管的行业中,合规性并非一种功能,而是必不可少的先决条件。Accevo 将合规性融入平台的基因之中,而非作为部署后的附加功能。.

制药与生命科学

21 CFR Part 11, EU Annex 11, GxP-ready electronic batch records and audit trails.

餐饮

FSMA, HACCP, BRC/IFS compliance with full traceability and recall management.

 

快消行业

Quality enforcement, genealogy tracking, and serialization for fast-moving production.

烟草

Track & trace, excise stamp management, and regulatory reporting for global compliance.

Frost & Sullivan Technology Leader
Enterprise-Grade Audit Trail
Electronic Batch Records
Full Genealogy & Traceability

部署灵活性

本地部署。云端。SaaS。. 您的选择。.

MES领域的云采用正在加速,但数据主权和延迟要求各不相同。Accevo支持所有部署模式——无论是现在还是未来。.

技术

现代堆栈。按比例建造。.

前端

后台

数据层

基础设施

解决方案

Accevo 旨在解决以下挑战

If any of these sound familiar, the platform was built to address them directly.

01

OEE 低,损失驱动因素不明确

Inconsistent downtime data and invisible microstops become standardised measurement and exposed loss patterns.

02

频繁停车,班次不稳定

Microstop intelligence and structured reasons support targeted actions to reduce recurring interruptions.

03

纸质生产记录

Digital forms and controlled workflows cut the time spent collecting evidence during deviations or audits

04

批次间的可追溯性弱

Genealogy and tracking reduce investigation time and limit the scope of recalls.

05

车间与企业资源规划系统脱节

API-based integration reduces duplicate work and improves the timeliness of production confirmations.

06

质量检查不一致

Digital workflows enforce repeatable checks and make results available for analysis and reporting.

07

反应式维护

Linking production events to maintenance workflows reveals where failures affect throughput.

08

没有可扩展的数字化途径

A shared foundation enables consistent rollout of execution, performance, and documentation across plants.

为什么选择Accevo公司

随着时间推移而产生的复合效益

运行

损失的透明度

Consistent event capture and loss categorisation reduce disputes and improve root-cause work across shifts.

运行

可预测的执行

Digital workflows reduce dependency on informal practices and improve shift-to-shift consistency.

运行

更快的中断响应

Real-time visibility and structured escalation support quicker interventions when stops or deviations occur.

商业

不同地点的规模

Common architecture and reusable building blocks make multi-site rollouts consistent and governed.

商业

整合,而非替代

API-first design supports ERP integration without rip-and-replace, reducing manual re-entry and sprawl.

合规

可审计的记录

Paperless workflows, traceability, and electronic records support controlled documentation requirements.

适用对象

专为重视数据质量的制造商设计

Accevo fits both highly automated and less automated lines — especially where operational data quality and standardisation are current bottlenecks.

快消行业

药品

食品和饮料

包装

生命科学

化学

典型的实施方法

01

从一个影响力大的范围开始

Often OEE & microstops or paperless workflows — fast value, minimal disruption.

02

与现有系统集成

Connect to your automation, ERP, and specialist tools as required.

03

随着价值的扩展而扩展

Add MES/MOM execution, traceability, and additional modules as governance and confidence grow.

平台演示

开始

准备好看看你真正的损失在哪里了吗?

Talk to us about your current line losses, documentation flow, and system landscape. We’ll map a realistic rollout that starts small and scales across sites.