• Time-consuming manual readings subject to human error
• Difficult access to some meters located at height or in sensitive areas
• No automatic data feedback
• Impossible to analyze in real time
• Risks of litigation arising from transcription errors

In many industries, analog meters are still the norm. But their reading relies on a repeated physical interventionwith timescales and uncertainties incompatible with today’s performance requirements.

Manual access to meters, which are sometimes located high up, near pressurized pressure pipes or chemical chemical equipmentThis can expose operators to the risk of accidents. What’s more, the lack of automation complicates the regulatory traceabilityThis is particularly true when it comes to archiving measurements. Finally, without reliable, continuous data, it is difficult to anticipate over-consumption or a malfunction on the distribution line.

Manual meter reading involves regular travel, staff mobilization and time-consuming administrative management. Thanks to automation, the OCR sensor can reduce these costs by up to 30% for a multi-site fleet. Fewer interventions, fewer errors, fewer disputes.

Measurement frequency is no longer constrained by human availability. The sensor automatically sends the data to the platform, enabling continuous monitoring, even on remote or hard-to-reach installations.

• No contact required with meters in high-risk areas (chemical concentration, confined areas, height)
  
• Limits travel in potentially dangerous environments
  
• Automatically time-stamped and historized statements
  
• Easy compliance with data traceability requirements
  
• Alignment with industrial sites’ QHSE policies

Data from OCR reading is instantly accessible on the Four Data platform. You can visualize indexes, configure customized alerts (abnormal value, absence of signal) and exploit historical data via dashboards or API export.

By eliminating recurring physical travel for readings, our solution significantly reduces the carbon footprint of the measurement activity. What’s more, the sensor is powered by a long-life battery at low consumptionfor minimum minimal energy impact.

Thanks to its adaptable mounting brackets included in the kit, our OCR sensor can be installed on the vast majority of analog gas metersincluding the oldest. No equipment replacement required.

📌 Compatibility assured with :

• Gas meters with mechanical rollers (type G1.6, G2.5, G4, G6, etc.)
• Counters circular or linear dial
• Meters installed in demanding industrial environments
• Can be installed on flat, curved or glazed surfaces

The sensor is designed to withstand harsh field conditions, including dust, humidity and frequent temperature variations.

Data transmission takes place via several IoT wireless networks wireless networks, enabling flexible integrationintegration, regardless of existing network environments or infrastructures.

📶 Supported networks and benefits :

• LoRa low power consumption, long range in rural areas
• NB-IoT excellent indoor penetration, stability
• LTE-M : extended coverage, reduced latency, mobility
• Sigfox simplicity of deployment, low cost
• Wi-Fi useful for wired industrial or urban environments

💡 A network coverage map can be provided to identify the best option for your location.

The sensor’s integrated optical recognition module achieves accuracy rate of over 98%.even in uneven lighting conditions or on slightly uneven surfaces. On-board intelligence also enables self-checking of data and detection of reading anomalies.

Heavy industry: consumption monitoring and alerts

In a plant producing insulating materials, the gas meters feeding the furnaces were scattered over several lines and high-temperature zones. The installation of OCR sensors made it possible to continuous monitoring of consumptionwith automatic alerts when thresholds are exceeded. The result: a 12% drop in abnormal consumption in less than 3 months.

Distribution networks: automated multi-site surveys

A gas transmission company operates over 50 metering points throughout France. By deploying our OCR solution, it has centralized all readings on a single interface. More than 150 readings a day are now automated, reducing intervention times and ensuring more reliable billing data.

Local authorities: centralized management and compliance

Several municipal utilities have equipped their gas meters with OCR sensors to facilitate remote management of public buildings (schools, town halls, gymnasiums). This approach has enabled data centralizationsimplified simplified regulatory reportsThe system also provides rapid detection of abnormal consumption, particularly during shutdown periods. Example: the municipality of X (anonymized) reduced its energy losses by 18% in one year.

A complete solution: sensor + platform + network

Four Data offers a fully mastered value chain, from the intelligent OCR sensor sensor to data restitution via our IoT platform. This integrated model guarantees native compatibilitycompatibility end-to-end reliabilityand simplified project management.

Our platform is agnostic agnostic: if you already have third-party sensorswe can integrate them to offer you unified unified supervision of all your installations.

Proven, modular technology

Our technology is designed to adapt to your constraints, whatever your type of meterenvironment or level of requirement. Visit modular of our offer means that gas meter reading can be complemented by other sensors dedicated to storage tanks (LPG, LNG, etc.)for a overall of your consumption.

📦 To be provided in a box :

• Multisensor compatible (OCR, gauge, pressure, level, etc.)
• Single platform for network gas and LPG
• Integration with ERP, PLC, SCADA

🔗 See our complementary solution dedicated to gas tanks: LPG connected monitoring

Support from A to Z: from ideation to deployment

Whatever the level of maturity of your project, we’ll support you step by step right through to operational implementation:

Dedicated, responsive customer support

Our customers particularly appreciate proximity and availability of our technical and sales teams.

💬 Customer testimonial

A dedicated team accompanies you from diagnosis to data enhancement, with responsive responsive online supportclear documentation and an intuitive interface.

They trust us: