Low data quality leads to annual loss of $300,000 per vessel.

We provide shipping companies with high quality data for their requirements in the areas of SAFETY, COMPLIANCE, PLANNING and OPTIMIZATION. Because only those who have trustful data on shore, can make the right decision on board.

70 Years of Marine Precision

70 Years of Marine Precision

In 1949 the German engineer Hans Hugo Karl Hoppe founded the company Hoppe Bordmesstechnik. His business idea was to deliver precise instruments and measuring equipment that could exactly determine the speed and power of seagoing vessels. Many technical inventions and patents for on-board measuring systems have characterized the work-life of Hans Hoppe. Today Hoppe is a family-owned group of companies with a global presence. In many years of organic growth, the company started businesses in various maritime markets to cater to globalized shipbuilding. Combined with countless inventions and patents Hoppe has reached a leading position in several maritime business areas like marine digitalization.

The company‘s continued passion for technology and the permanent motivation to deliver customer-oriented products and services have been the keys to its success. The combination of seven decades of engineering know-how, sustainable on-board experiences with the continuous development of new technologies has made Hoppe a major player in the digitalization process of the marine industry. A key demand of today‘s maritime data acquisition is the exact validation of a large number of a ship‘s operational and nautical measurements after receiving them onshore. Hoppe offers you a convenient one-stop solution with high data quality on-board and superior analysis ashore.

With over 70 years of experience and more than 7,000 installations, Hoppe Marine can be the trusted technology partner in the vessels digitalization process and helps relieve the owners and operators technical personnel. As we have always done and always will do.

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Data Butler

Provision of excellent ship data
  • Provision of ship data with easy access
  • Full system responsibility
  • Unlimited cloud based data storage – with 24/7 access
  • Focus on cyber security – encrypted ship-to-shore data transfer
  • Remote service, updates and customer specific configuration

What does reliable sensor availability mean for compliance?

Los Angeles, Feb 2020 – An unnoticed tank sensor failure with serious consequences. A discrepancy of 150 MT (metric tons) was found between the manual sounding and the measured ROB (Remain on Board) by the onboard tank measurement system. An unnoticed sensor malfunction at one of the bunker tanks detected a full tank level. However, during the manual sounding before the bunkering in Los Angeles, which was supervised by a bunker surveyor, it turned out that one tank had a significantly lower level compared to the official target level.

Due to this significant discrepancy, the ship was refused permission to continue its journey. A fuel balancing analysis of the bunker management with health check revealed that a defective suction valve was the cause of the withdrawal. Lucky in misfortune for the shipping company. It was an HFO ULS tank, so the sulphur limits were met. Nevertheless, the shipping company incurred costs of 300,000 dollars.

 

Data Inspector

Ensure data quality
  • Ensured data quality as a precondition for compliance, planning and optimization
  • Continuous system health check and daily data evaluation by qualified service technicians, analysts and marine engineers
  • Fleet data transparency by automatic reports, including system health, quality KPIs
  • In-depth evaluation of primary signals to detect implausibilities, drifts and offsets
  • Fast response – (remote) service attendance reduces downtime to a minimum

What does reliable sensor availability mean for compliance?

Los Angeles, Feb 2020 – An unnoticed tank sensor failure with serious consequences. A discrepancy of 150 MT (metric tons) was found between the manual sounding and the measured ROB (Remain on Board) by the onboard tank measurement system. An unnoticed sensor malfunction at one of the bunker tanks detected a full tank level. However, during the manual sounding before the bunkering in Los Angeles, which was supervised by a bunker surveyor, it turned out that one tank had a significantly lower level compared to the official target level. Due to this significant discrepancy, the ship was refused permission to continue its journey. A fuel balancing analysis of the bunker management with health check revealed that a defective suction valve was the cause of the withdrawal. Lucky in misfortune for the shipping company. It was an HFO ULS tank, so the sulphur limits were met. Nevertheless, the shipping company incurred costs of 300,000 dollars.

Choose your
 perfect fit – our 
data packages

Download
 the Brochure
Visit Developer Section
Data Butler
Data Inspector
Basic Data

Transparency

Quality Data

Quality

Maintenance

Maintenance

Analyzer

Analyzer

On Board
Ship data server application incl. configuration
Web-based data transmission on software

Configurable bandwidth limit

Bandwidth detection prevents any transmission, in case the risk of a weak transmission is detected

Completeness check for data transmission

SatCom Hardware and Airtime not included

Cloud based data hosting
Backup protection

Data Hosting on EU Server centres with 6 backup copies

Unlimited data storage volume
Full access to raw data

Further information on our API Developer Portal.

CSV / Excel Download

Free selectable time range for ad-hoc analysis or troubleshooting

Full access to high resolution data

Trigger a data request of a high resolution data set for the relevant signals

Flexible configuration of vessel data

Free remote update of configuration, logging and export configuration

Data Quality API

Quality Data via API with quality information for single variables

Daily Check

Routine work is performed every regular working day by a service technician

Daily System Health Check
  • Check if monitored Hoppe system are online
  • Logging device active
  • Completeness-check for data transmission
Fleet Data quality timeline

See description in Glossary

Total Fleet Data quality timeline

See description in Glossary

Check data for validity and threshold exceedances
  • The availability and validity of all signals acc. to the agreed on signal list will be checked.
  • All signals are checked against physical threshold for a plausability check
Fleet Data Summary

See description in Glossary

Profound validation and troubleshooting

Validity chapter of Data Analysis Catalog will be carried out – quarterly

Measurement devices

Profound validation of the following devices will be carried out

  • Shaft Power Meter
  • All Flowmeter
  • Speedlog
  • Draught Sensors
Downtime Analysis

Downtime analysis for Systems and Signal

Primary signals Correlation matrix

Correlation and time series evaluation of ISO19030 primary signals to detected specific behavior, sensor errors of offsets

Troubleshooting Analysis

One individual troubleshooting per vessel and year according to vessels unter contract. Use cases for an evaluation are Data Gaps, Speed Claims, Groundings, Bunker Claims

  • The user can choose from more than 100 plots and visualizations
  • The user specific selection of the Analysis Catalog will be evaluated
Service Level Agreements
Basic (Tier I)
  • 48h e-mail Response / Notification
  • 1s Service Inhouse (SIH) per Vessel and month for general troubleshooting included (e.g. 20 vessel = 20h included)
Advanced (Tier II)
  • Thechnical Service Hotline – Working Day 9am – 5pm
  • 24h e-mail Response / Notification
  • Remote Maintenance
  • Accounting via SIG, in case of not caused by Hoppe or within warranty
Upcoming Features
Data Analyzer

Intuitive tooling to contextualize data and to make sense of it. Feature used by internal users for troubleshooting.

Operational Event and Notification Service
  • Users can create rule based notifications based on health, quality, events, time series data processing and threshold exceedances
  • The notification is highly customizable.

Get in touch

We’ll be happy to hear about your project. Just drop us a line and we’ll be right back at you in no time.

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Partner

Our APIs integrate well with additional service providers. See who is already using the Hoppe Data Services successfully.

The path to High Quality Data

Sensors
On Board Data Acquisition
Data Integration and Database
Monitoring and Control
Ship to Shore Connection
Data Storage
Data Processing
Data Analysis
Data Maintenance and API with Qualified Data

Glossary

ESCClose Overlay
APICLOSE

Hoppe provides ship data onshore via standard APIs (application programming interfaces). The whole API documentation is reachable under https://docs.hoppe-sts.com/apis.

Data acquisitionCLOSE

Data acquisition is the process of sampling signals that measure real world physical conditions provided by sensors, components or external systems and converting the resulting samples into digital numeric values.

Data ButlerCLOSE

The Data Butler is a cloud based service to provide ship/fleet data to the customer via standard interface for further processing. Different service levels are available, from high resolution data provision on demand up to full data quality information.

Data encryptionCLOSE

In general, data encryption is the security method to encode information which can only be accessed with the correct encryption key. In terms of cyber security, all data is cryptographically signed, and sent to shore via an encrypted channel.

Data HighwayCLOSE

Data path from sensor signal acquisition to the data provision on shore used by Data Butler / Data Inspector services.

Data InspectorCLOSE

The Data Inspector is a add-on service to the data butler or available as a stand alone service.

It contains the daily data check, fleet data quality reports and troubleshooting action according our service level agreements.

Data MaintenanceCLOSE

Data Maintenance represents all service activities to keep the data quality of the vessels at a high level.

Data maintenance services are implemented in Data Inspector and Analysis Catalog.

Data QualityCLOSE

The data quality is the arithmetical size of valid and invalid/implausible data. Invalid data concludes “Not a Number” (NaN) values as well as empty log file entries. A data point is stated as implausible when it exceeds physically plausible thresholds which are meticulously defined for each signal.

Data ValidationCLOSE

The data validation is a process to ensure data quality. It uses a cascaded process (data validity flag, check for threshold exceedances, device / components health determination, correlation matrix between sensors and devices) to check for correctness and meaningfulness.

There is a differentiation between Data Validation and profound validation.

Developer PortalCLOSE

The documentation which is accessible in the Developer Portal provides all means to access this data in your custom tailored application.

To provide the developers with more context, starting at https://docs.hoppe-sts.com provides all the required information.

DowntimeCLOSE

The term downtime is used in two different contexts:

  1. Periods when our data services are unavailable,
  2. Non-operational periods of onboard systems and equipment for monitoring and control.
EvaluationCLOSE

The evaluation is manual work performed by service technician or marine engineer. Depending on the agreed data services, a customer-specific selection or the entire analysis catalogue is evaluated. In the event of abnormalities in the ship’s operations, recommendations are written and the further procedure is coordinated with the customer.

Fleet Data QualityCLOSE

The fleet data quality in percent is the weighted average of the data quality for a fleet with service contract defined by the customer.

Fleet Data Quality TimelineCLOSE

For each vessel two timelines (the primary signals and all signals) show the vessel specific data quality over the reporting period. All data is loaded into a ship database. Algorithms determine a quality index for each aggregation. This index is supplemented by an overall quality for the observed period.

Fleet Data SummaryCLOSE

The Summary Report lists the most interesting key operation values for each vessel in the fleet. It gives information about the travelled distance, the consumed fuel as well as the specific fuel oil consumption, average speed, main engine load and energy consumption. In the last row all key values are summarized to give an aggregated view of the fleet performance.

Fleet Summary ReportCLOSE

The Fleet Summary Report provides an aggregated overview of the data quality and its development over time for each vessel in a whole fleet by using a traffic light system. In addition to that, a trend graphs shows the temporal evolution of the data quality for primary and all signals. The report consists of the Fleet Data Quality Timeline, the Total Fleet Data Quality Timeline and the Fleet Data Summary.

The Summary Report can be extended by the Validity Timeline for each individual vessel upon request.

HOMIPCLOSE

HOMIP – HOPPE Embedded-iPC for data collection, processing, control and monitoring of applications onboard a vessel.

Hoppe DatapoolCLOSE

The cloud-based Hoppe Datapool on the shore side contains all necessary vessel data, particulars and details for the internal Data Inspector services and the developer platform for Data Butler customers.

Primary signalsCLOSE

In the maritime context primary signals are described in the ISO 19030 standard. Such as but not limited to:

  • Main Engine, Boiler, Auxiliary Engines Fuel Mass Supply Actual [t/h]
  • Main Engine and Auxiliary Engine Power [kW]
  • ME Torque Actual [kNm] and Shaft Speed Actual [rpm]
  • Course OG Actual [°] and GPS Position
  • Speed OG and Speed TW [kn]
  • Wind Speed and Direction
Profound validationCLOSE

The profound validation is carried out in the validation chapter of the Data Analysis Catalog. It includes an evaluation with recommendations for the further procedure, in case abnormalities with e.g. the MAIHAK Shaft Power Meter or draft sensors are detected.

Remote ServiceCLOSE

Hoppe provides Remote Service in different levels. For detailed information see our SLA (Service level agreements).

Sensor FusionCLOSE

Sensor Fusion is the mathematical combination of sensor information to validate measured data and to determine system condition.

To minimize uncertainty, one example of sensor fusion is the draft measurement system. The correlation check of drafts, bending and torsion by individual sensors allows a profound validation after the sensor fusion.

Service Inhouse (SIH)CLOSE

Service Inhouse represents remote troubleshooting activities by a service technician that do not take place on board.

Service Inhouse (SIH)CLOSE

By remote advisory, remote updates or video calls, Service Inhouse (SIH) guarantees support on short notice and helps to reduce travel costs.

Ship to ShoreCLOSE

As a technology Ship to Shore enables data transfer from onboard a vessel to the cloud-based infrastructure. It is the essential satellite-based communication link between the vessels and Hoppes shoreside Datapool in the Data Highway.

Signal listCLOSE

The signal list is a vessel specific list which shows all logged signals and the aggregation and processing information.

Total Fleet Data Quality TimelineCLOSE

The Total Fleet Data Quality Timeline represents the aggregated and weighted data quality for the whole fleet. It shows graphs for the primary and all signals behaviour, including thresholds.