Recognise conspicuous patterns
Measurement and process data are examined for the agreed question.
Data should turn into
reliable decisions.
AI can examine patterns in production data and documents and provide indications for technical decisions.
A great deal of data is available, but its significance differs. Missing values, changed operating conditions or unsuitable comparison periods can distort a seemingly good result. Before a forecast, the question, the data quality and the assessment therefore have to be settled. Specialist users need traceable results and visible limits so that an analysis supports the decision instead of producing one more key figure.
IQstruct Engineering integrates specialised models for pattern and anomaly detection as well as for forecasts. Industrial data can be provided through Aurora. Local models and customer-specific applications connect the analysis with existing processes; results are assessed by specialists.
Start now at no cost
In a free first conversation we clarify which question the analysis is to answer and which data exists for it, in what quality.
Scope of services
Consider influencing factors together
History, current states and, where relevant, weather or price forecasts complete the data base.
Provide results in usable form
Analyses are integrated into applications and prepared for human decisions.
Patterns, anomalies and forecasts in production data
IQstruct Engineering integrates specialised models for pattern and anomaly detection as well as forecasts.
Aurora provides the industrial data; local models and customer-specific applications connect the analysis with existing processes. Historical data are combined with current states and influencing factors, depending on the question, for example for an expected development in consumption.
Derived quantities can serve as virtual sensors. Such results count as an estimate or model value and are assessed technically before use.
AI data analysis
Unusual trends stand out before they have consequences
History, current states and influencing factors come together for the assessment.
Approach in the project
Ai1
Record the data basis
Production data from Aurora and office information are assigned to the question.
Ai2
Model the analysis workflow
The data pipeline is built in a workflow environment such as n8n.
Ai3
Run the analysis
The workflow's processing and resulting outputs are monitored.
Ai4
Use results for decisions
Those responsible assess the analysis results and decide on measures.
What the analysis delivers
Anomalies
Trends that deviate from the expected behaviour.
Forecasts
Expected developments, for example in energy consumption.
Virtual sensors
Derived quantities where no direct measurement is available.
Funding
Clarify funding options before placing the order
Funding programmes may be available for consulting on and trialling your AI project.
IQstruct Engineering supports the survey, the project outline and the preparation of the application documents. Your company submits the application. Whether and to what extent funding is possible depends on the programme, the location and the project.
Frequently asked questions
We are glad to answer your detailed questions in a personal conversation.
How reliable are a model's forecasts?
Forecasts are estimates. We check model quality and economic effect on your use case.
Where do the data come from?
From industrial data acquisition via Aurora, supplemented by further sources such as weather or price forecasts.
Does a virtual sensor replace a measurement?
A virtual sensor delivers a model value. It is compared with direct measurements and assessed technically.
Further industry solutions
Every industry has its particularities. That calls for a reliable partner who knows the requirements and delivers suitable solutions.
- Process engineeringA plant runs continuously, and its energy consumption decides the cost per tonne.
- Woodworking and furnitureWood is a grown material, and its fault images are hard to describe as a fixed rule.
- Food and beverageEvery batch needs its traceability, and cleaning interrupts production at a fixed rhythm.
First conversation
Arrange a free first conversation
Describe your task. We agree a date and discuss the possible project scope.
Ai1
You request an appointment
Ai2
We discuss your requirements
Ai3
You receive a quotation for the agreed scope
Philipp Niemann-StryczekManaging DirectorLeads the company on the commercial side and answers questions on IT/OT security, asset administration shells, compliance and research projects.
Free first conversation
Describe your task in the contact form. We come back with a proposed date.
Arrange a first conversationBooking calendar
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Not quite what you need?
Discover further suitable services.
Analytics and visualisation
Make trends, relationships and deviations in production data visible.
Energy data
Connect energy consumption with machines, operating times and production batches.
Local AI and on-premise operation
Plan models, hardware and support for AI in your own environment.