AI-based inspection of smart meter installations: increased efficiency for metering point operators

The introduction of smart meters presents meter operators with numerous challenges. In addition to technical installation, quality, documentation and regulatory requirements must be ensured. Installation situations vary considerably, as each meter has its own individual requirements. Incorrect installation can lead to measurement deviations, delays in billing or even legal consequences.

Until now, checks have mostly been based on manual spot checks or subsequent inspections. These methods are time-consuming, error-prone and reach their limits as the number of installations increases. At the same time, pressure is growing on metering point operators to ensure that the rollout is efficient and of high quality.

How AI is revolutionising the inspection of smart meter installations

Artificial intelligence offers an innovative solution for the automated inspection of smart meter installations. Using image processing, pattern recognition and machine learning, installations can be checked and documented in real time.

Automatic image evaluation for error-free installations

Installers can record the installation process via photo or video using a mobile app. The AI analyses the images in real time and checks key factors such as:

• The location and position of the meter
• Correct cabling and connections
• The presence and integrity of the seal
• The serial numbers match the stored data

In the event of discrepancies, the installer receives immediate feedback and can make corrections on site. This ensures that installations are error-free the first time around.

Automated documentation and compliance checks

Another advantage of AI is the automation of documentation. Meter readings and serial numbers are read directly from the images or videos captured and transferred to the IT systems. Manual entries are reduced, transmission errors are minimised and complete traceability is guaranteed.

At the same time, AI can ensure that all regulatory requirements are met. Rule-based algorithms check whether the assembly complies with PTB certification requirements, calibration regulations or internal quality standards. This not only facilitates audits, but also reduces the risk of rework or penalties.

Long-term optimisation through AI-supported analysis

In addition to immediate quality control, AI offers the opportunity to optimise assembly processes in the long term. Through continuous analysis of error patterns and anomalies, recurring problem areas can be identified and addressed in a targeted manner. AI can analyse frequently occurring errors and compare them with successful installations. This enables targeted training of assembly technicians to avoid typical assembly problems. By analysing historical assembly data, potential defects or problematic installations can be identified at an early stage. This enables preventive maintenance and prevents failures in the operation of measuring points.

Advantages for meter operators

The integration of AI into assembly testing offers numerous advantages:

• Time savings: Automatic testing reduces administrative effort and speeds up the commissioning of new smart meters.
• Error reduction: AI detects assembly errors at an early stage, minimising the need for rework.
• Regulatory security: Compliance requirements are automatically checked and documented.
• Cost efficiency: Automation reduces the amount of personnel required for testing and follow-up checks.
• Scalability: Process quality remains consistently high even as the number of installations increases.

Conclusion: AI as the key to increased efficiency in smart meter installation

The digitalisation of smart meter assembly is a decisive step towards a more efficient and sustainable energy industry. AI-supported inspection processes enable higher quality, lower costs and faster processes. Companies that embrace these technologies early on can secure a decisive competitive advantage.

The question is no longer whether AI should be used in assembly testing, but how quickly companies can integrate these solutions into their processes. Technological progress opens up enormous opportunities – with partners such as adesso at your side, implementation is not only faster but also more sustainable.

From idea to implementation: support from the adesso innovation management portfolio

Innovative approaches such as AI-supported testing of smart meter installations only reach their full potential when they are validated in a structured manner, further developed and integrated into operational processes.

As part of adesso's innovation management services, metering point operators and energy companies receive exactly this support: from the initial idea evaluation and technical validation to piloting and scaling. With structured innovation management, use cases can be identified and transformed into marketable solutions.

adesso thus offers a clear framework for the effective and practical application of complex technologies such as AI in the energy industry – for example, in the context of smart metering systems and their operational implementation in the field.