示意预览A build-to-order Business Central AL extension that ingests machine sensor data,
applies AI anomaly and failure-risk detection, and auto-creates predictive maintenance work orders before equipment fails. Installed as a per-tenant extension and supported by ECOSIRE.
什么是 Predictive Maintenance (AI)？
A build-to-order Business Central AL extension that ingests machine sensor data, applies AI anomaly and failure-risk detection, and auto-creates predictive maintenance work orders before equipment fails. Installed as a per-tenant extension and supported by ECOSIRE. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.
核心功能
按需定制，全程代劳
无需自行搭建——由 ECOSIRE 构建、安装并提供支持的可用应用。
- 1
您下单
以一次性构建价格开始。我们在启动时与您共同确定范围。
- 2
我们构建与安装
ECOSIRE 在您的 Dynamics 365 Business Central 上构建、配置并安装。
- 3
上线 + 支持
约一个工作周内上线，并包含两周上线支持。我们交付的代码中的缺陷免费修复。
关于此产品
Predictive Maintenance (AI) is a custom-built extension for Microsoft Dynamics 365 Business Central that turns raw machine sensor telemetry into proactive maintenance work orders — before a breakdown happens. ECOSIRE builds it, installs it as a per-tenant extension on your Business Central environment, and supports it. This is not an instant AppSource download; it is a scoped engagement delivered to fit your assets, sensor sources, and reliability workflow.
The extension is written in AL and ships new tables plus table and page extensions on your maintenance and item/asset master data. Sensor readings arrive via the Business Central REST/OData v4 API (or a customer gateway pushing JSON) into a dedicated readings table. A Job Queue entry runs trend analysis and anomaly scoring on a schedule you define. Failure-risk and remaining-useful-life scoring is performed by an AI/ML model called over HTTPS — typically an Azure Machine Learning endpoint or Azure OpenAI / Dataverse + Power Platform AI service — so your model can be retrained without changing AL code.
When a machine crosses a risk threshold, an event subscriber auto-creates a predictive maintenance work order, populates the affected asset, suggested tasks, and a priority derived from a downtime-vs-maintenance cost comparison. Reliability engineers see trend charts, anomaly flags, and RUL estimates directly on Business Central pages, with drill-down to the underlying readings.
Everything ships with a dedicated permission set, telemetry-friendly logging, and clean uninstall. Because it is per-tenant, your customizations never collide with Microsoft's monthly updates, and ECOSIRE re-tests against each major BC release. You own the data; we own keeping it working.
你得到什么
- A per-tenant Business Central AL extension (.app) built to your assets and sensor sources, installed on your environment
- Scoping document mapping your equipment, sensor data shape, thresholds, and maintenance workflow to the AL design
- Sensor ingestion endpoint configuration (REST/OData or gateway) with sample payloads and a test harness
- AI/ML endpoint integration wired to your Azure ML, Azure OpenAI, or Dataverse model with a baseline model setup
- Dedicated permission set plus a Job Queue setup and runbook for scheduled scoring
- Admin and reliability-engineer documentation covering setup pages, thresholds, and work-order behavior
- Knowledge-transfer session and a defined warranty/support window with response-time commitments
这是给谁的
Reliability Engineer
Owns asset uptime at an asset-intensive plant and wants failure-risk signals and RUL estimates surfaced inside Business Central so predictive work orders are raised automatically instead of relying on calendar-based PM schedules.
Maintenance / Operations Manager
Needs to cut unplanned downtime and balance maintenance spend against failure cost. Uses the cost-optimization scoring to prioritize which auto-created work orders get crews first.
Business Central Administrator / IT Lead
Responsible for the BC environment and integrations. Cares that the solution is a clean per-tenant extension with a scoped permission set, observable Job Queue jobs, and no base-app modification that breaks Microsoft updates.
Predictive Maintenance (AI) 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | Dynamics 365 Business Central 原生 |
|---|---|---|---|---|
| AI anomaly detection and failure-risk scoring built in | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| Auto-created predictive maintenance work orders from sensor thresholds | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| Remaining-useful-life (RUL) estimation surfaced in Business Central | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| Tailored to your specific assets, sensors, and maintenance workflow | 包含 | 包含 | 不包括在内 | 不包括在内 |
| Delivered as a clean per-tenant extension (no base-app modification) | 包含 | 部分支持 | 包含 | 包含 |
| Built, installed, and supported for you with a defined SLA | 包含 | 不包括在内 | 部分支持 | 不包括在内 |
| Sensor ingestion via BC REST/OData API or customer gateway | 包含 | 部分支持 | 部分支持 | 不包括在内 |
| Model retrainable / swappable without AL code changes | 包含 | 部分支持 | 不包括在内 | 不包括在内 |
关于Predictive Maintenance的常见问题
Is this an instant AppSource download?
No. This is a build-to-order engagement. ECOSIRE builds the AL extension to fit your assets and sensor sources, then installs it as a per-tenant extension on your Business Central environment. There is no public AppSource listing or self-service download — you get a solution tailored to your reliability workflow and deployed for you.
How long does delivery take?
A typical build runs about one working week after scoping sign-off, depending on the number of asset types, sensor data complexity, and which AI/ML endpoint you use. We start with a scoping document, build and test in a sandbox, then schedule the production install with you. The price covers the standard scope; unusual sensor protocols or many distinct asset models may extend the timeline, which we agree before starting.
What about ongoing support and updates?
Every build includes a warranty/support window with agreed response times. Because it is a per-tenant extension, ECOSIRE re-tests it against each major Business Central release and ships compatibility updates. Beyond the included window, we offer a support retainer covering bug fixes, threshold and model tuning, and adapting to new sensor sources or asset lines as your plant grows.
What sensor sources and AI models can you use?
Readings can arrive through the Business Central REST/OData v4 API or via a gateway that pushes JSON from your historian, IoT hub, or SCADA layer. The anomaly and RUL scoring runs on an external endpoint — commonly Azure Machine Learning, Azure OpenAI, or a Dataverse/Power Platform AI service — so you can retrain or swap the model without us rewriting AL code. We confirm the exact integration during scoping.
Will this interfere with Microsoft's Business Central updates?
No. The solution is delivered as a per-tenant extension using table extensions, page extensions, and event subscribers — it never modifies the base application. This is the supported customization model, so Microsoft's monthly and major updates apply normally. ECOSIRE validates the extension against each major release and provides any needed fixes.
相关模块
PLM & Engineering Change Management (ECM)
A custom-built per-tenant AL extension that adds revision-controlled item and BOM data, engineering change request/order (ECR/ECO) workflows, multi-stage approvals, and impact analysis to Dynamics 365 Business Central — bridging engineering and operations inside your ERP.
Point of Sale (Retail POS) for Business Central
A custom-built omnichannel retail POS extension for Dynamics 365 Business Central, with offline mode and real-time inventory and finance integration. Built, installed as a per-tenant AL extension, and supported by ECOSIRE on your own BC environment.
Printing Press Management
A build-to-order Dynamics 365 Business Central extension that turns print enquiries into costed estimates, routes jobs through press stages, and tracks paper, ink, outwork and deliveries to the invoice. ECOSIRE builds, installs and supports it after you request a quotation.
Process Manufacturing: Formula & Recipe Management
A per-tenant Business Central (AL) extension that adds formula/recipe-based production, batch sizing, yield scaling, co-product and catch-weight handling for food, beverage, chemical and cosmetics process manufacturers. Built, installed and supported by ECOSIRE on your tenant.
Predictive Maintenance
A build-to-order Business Central AL extension that ingests machine sensor data, applies AI anomaly and failure-risk detection, and auto-creates predictive maintenance work orders before equipment fails. Installed as a per-tenant extension and supported by ECOSIRE.
- Sensor telemetry ingestion via the Business Central REST/OData v4 API or a customer push gateway into a dedicated AL readings table
- Scheduled trend analysis and moving-window baselining driven by a Business Central Job Queue entry
- AI/ML anomaly detection and failure-risk scoring via an external Azure Machine Learning or Azure OpenAI endpoint (model retrainable without AL changes)
- Remaining-useful-life (RUL) estimation surfaced on asset and maintenance pages