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TIC 4.0 aims to represent any reality in digital format. The way to represent an instantaneous reality (a frozen image of reality) is through the “status” without time dimension (position, speed, statusetc.) in a specific timestamp.
(e.g. at 06-10-2023 09:00 Straddle Carrier 01 is working bay 01A 02 01 and driving with speed of 10 km/h)
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This is exactly what health level has to achieve. Being a value that represents the CHE state of health. This value, thanks to the data model flexibility, can be utilized in every systems and subsytems (concepts) of a CHE.
Health Healthy is a scalable concept that could also be used to measure a process like maintenance……………………………………………………..KPI for health is the final level. Before that, we have to such as the following examples:
Operation layers (planning, execution) → ‘How Healthy am I in the dispatching? How often am I cancelling a job instruction?’
Preventive maintenance → ‘How healthy is my right on time maintenance? How healthy is my scehduling process? Is the workforce intervention healthy?'. As we introduce in the previous white paper, we introduce new concepts in the maintenance data model where healthy as a concept could be introduced as well to ensure maintenance performance & reliability measurement through Health.
Get Health as a KPI should be seen as a functionnality. We have to handle and standardize the way to process and compute the information to achieve our calcluation goal.
As per the definition, health concept is a decline declined in sub concept concepts that is essential allow to know about understand the machine behavior. These concepts are:
The health monitoring process is a collaborative effort involving multiple sources and team members, each contributing their expertise to ensure the optimal health, performance, and reliability throughout the dynamic challenges of the Terminal efficieny.
What is impacting healthy level?
List the different parameters that should be taken in consideration to proceed.
Story line:
Bring the introduction from the health white paper with the different perspective (OPS/maint/fleet monitoring) as an opener + give real situation as example that could reflect the need.Open the topic about the lack of vision about health (measurability oriented).Explain the pathway to achieve health as something that is measurable, aggregable… A value we can aggregate (our objective for this year).
Reminder on what has been already written
Creation of Health topic to serve a specific purpose. (Healthy as a concept vs. the terminal data ecosystem from the CHE)--> CHE health data model must be able to represent Health reality/status
Maintenance is important as well → Maint. data model creation to complete Health and ensure process measurability.
What are we missing now?
Measure health as a value = express the healthy concept for every subject… → Data model modification (Curro to update)
Signal classification → Signals need to be well processed in order deliver a valuable interpretation & results. Thanks to CHE data model and its flexibility, we managed to integrate Healthy in every Subject. …
CHE & Maintenance data models to ensure equipment health visibility
Below chart to be reviewed and updated with Maintenance + new way to integrate health in the DM (healthy concept below every subject in the CHE DM)
Health Level
Appendixes
Maintenance data model.
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The health level monitoring involves a sophisticated systems of real-time telemetry and data analysis. Here's an overview of how monitor the health:
Operational Data:
Operating hours – to be compared with equipment lifecycle
Breakdown status (if stopped frequently, it might indicate wider issues)
Telemetry data:
Sensor, alarms such as temperature, tyre pressure, encoder error.
Maintenance History:
Time since last maintenance
Work Orders pending (criticality and quantity)
Performance Metrics:
Efficiency and downtime duration
User Feedback:
Feedback and reported issues from operators
External Factors:
Environmental conditions
Predictive Analysis Data:
Adopting predictive analytics and machine learning algorithms to anticipate potential issues based on historical data. This helps in proactive decision-making and preventive measures
Preventive Maintenance Score Determination:
The score will be determined and rate based on:
If the maintenance was done on time = best score
If the maintenance is due within the next week
If the maintenance is overdue by a week
If the maintenance is overdue by two weeks to a month
If the maintenance is overdue by more than a month
The Error | Warning | Fault | Interlock process is crucial. Terminals has to set up a robust and sustainable alarm systems to alert technical teams when certain parameters deviate from the expected values. This proactive approach allows teams to identify potential issues before they escalate.
Advanced telemetry ensuring health monitoring enables remote diagnostics, allowing engineers to assess the health of specific components without physically inspecting the equipment. This is particularly valuable during realtime operation to avoid any downtime.
Displaying crucial informations represents also a key point to ensure the operational efficiency monitoring. Health is a concept that will drive the performance.
How health evaluation scale could be?
Equipment Health Scale (EHS) could be:
🔴 0-20: Critical (Immediate attention required)
🟠 21-40: Poor (Maintenance or check-up needed soon)
🟡 41-60: Fair (Operational, but monitoring required)
🔵 61-80: Good (Healthy operational state)
🟢 81-100: Excellent (Optimal condition)
The possibility to move into an ecosytem that includes hundreds of data and advanced computing functionnalities is only possible if Health concept is applied and spread over the CHE and process. TIC already shares the CHE Health and Maintenance data models & defintions that represents the first briks to reach the right monitoring level.
Appendixes
Maintenance data model concept definitions:
Repairing: Restoring something to a functional or original state after damage or malfunction.
Diagnosing: Identifying and analyzing the nature or cause of a problem or condition, especially in a technical or medical context.
Inspecting:Examining something closely and systematically to assess its condition, quality, or compliance with standards.
Certifying: Officially verifying or confirming that something meets specific requirements, standards, or qualifications.
Testing:Evaluating the performance, functionality, or characteristics of something through systematic trials or experiments.
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