Hayden Data Systems specializes in awareness.

We give oil and gas companies the ability to monitor the health of their field assets and surrounding environments from any location. The technology behind our awareness platform combines sensor data with alerts, deep analytics, and the ability to predict failures. Even in the most remote locations.

Users get near real-time monitoring of the structural, environmental, and operational conditions that affect their infrastructure.

Our sensors can monitor pad sites, wellheads, pump stations, and pipelines. Even in areas without telecommunications network coverage or local power.

Sensor measurements include:

Weather and ambient conditions

• Temperature
• Wind speed and direction
• Rainfall

Anomaly detection

• Smoke and wildfire
• Gas leaks
• UV radiation

Visual confirmation

• Standard and infrared camera
• Snapshots at regular intervals or on-demand

Application examples:

1. Site and property line monitoring
   Hayden Data smart sensors continuously monitor ambient conditions at remote sites. They’re on the lookout for smoke from nearby fires, gas leaks, and heavy rainfall. Onboard cameras are keeping an eye on things, too.

2. Structural health and seismic monitoring
   Our sensor array includes accelerometers to measure movement and vibration. They provide early threat detection for structural deterioration and earthquake activity.

3. Pipeline monitoring
   Sensors deployed along pipeline routes monitor structural integrity and detect leaks, fire, and smoke.

Now, even the most remote sites can be carefully monitored from anywhere.

Data

Hayden Data sensors continuously measure asset health and environmental conditions, even in remote locations. Data sources may include:

• Our sensors
• 3rd-party sensor networks and data feeds
• Data from our customers and partners
• Public data

The data is raw and ingestible into existing systems or accessible through our interactive user interface. The Hayden Data Awareness Platform can aggregate it into four areas:

1. Maintenance: Asset health, enabling condition-based maintenance, predictive monitoring using artificial intelligence (AI) and machine learning (ML).
2. Environmental: Measurement of current weather conditions, environmental anomalies and hazards, Dynamic Line Rating, and predicted impact on assets.
3. Operational: Asset status, performance, and confidence monitoring.
4. Situational Awareness Stream: Public hazard awareness,  liability compliance, public and municipal safety.

Hardware

The heart of our sensor system is a collection of highly-accurate instruments. They’re housed in a hardened enclosure that can be mounted on power poles, transmission towers, gas wellhead sites and pipelines,  bridges, buildings, or any other structure.

Enclosure unit features include:

• Battery-operated, solar recharged
• Power autonomy without recharge: 7-10 days
• Battery life cycle: 7-8 years
• Operating temperature: 0°F to 122°F
• IP67-rated waterproof, EMF-shielded, corrosion-resistant
• Compact and lightweight (7” x 7” x 7”; 4 lbs)
• Nanotechnology coating to increase solar panel efficiency and life
• 180-degree adjustable camera

User Interface

Sensor data can be ingested into existing user systems or the Hayden Data Awareness Platform. It organizes, refines, and analyzes the data, then provides actionable reports. Then it converts it into a visualization-based UI format. Users can see status summaries and alerts by asset and geographic area. They can sort and filter to drill down on specific assets or areas of interest.

Data flows into the dashboard in near-real-time. Cameras display continuously-updated visual information. Users gain insights in seconds and can make instant decisions. Dashboards can be viewed across multiple devices, including smart phones.

Decisions become even more intelligent with historical data and artificial intelligence. Historical data is taking on new value as it’s reprocessed. We’re finding “new” old information in there. Our platform analytics system is using it to measure trends and model scenarios.

Using artificial intelligence, it can compare current or recent measurements to historical data from sensors at other locations. This creates the ability to have predictive maintenance and response. Users have more perception and comprehension. They’re able to make assessments, anticipate problems, and take preemptive action before failures or incidents occur.