With our assets360 modular building blocks we have created the following application modules. In most cases these application modules can be used on their own to execute a business logic. They can also be combined with other application, infrastructure and connector modules.

Machine File

The Machine File provides an in-depth look into the machines and devices. With the Machine File module, it is possible to map your physical machine hierarchy to a digital representation. The Machine File can be connected to other modules to support and extend functionality such as condition monitoring, predictive maintenance and support. 

The UI for the Machine File can be customized as per customer needs

Document Management 

With the Document Management module, the user benefits from machine documentation that centralizes information in a paperless format and allows the documents to be uploaded and searched. Relevant information can be found easily with documents accessible anywhere and anytime. With stored documents available easily, issues can be resolved more quickly.

*Integration with Empolis Connector can enhance the Document Management module through a powerful integrated search feature. See Smart Document Finder Application or the Empolis Connector for more details.

Service Book 

The Service Book module allows users to manage tickets and support requests more efficiently. The tickets are linked to assets and customers, providing the necessary asset information including documentation. Through the easy to use tool, the user can access a detailed description of the problem, view ticket status (open, currently in progress, finished), see the priority as well as assign the tickets to the relevant user or group*.

Through the Support Request feature, service calls can be requested by the customer and scheduled with a click of a button with the machine builder's service team. 

The Service Book requires the Machine File module.

The Service Book can also be integrated with your CRM system. Please contact us at sales@logicline.de to learn more.

*assigning to users or groups requires the Item Assignment module.

Service Milestones (Maintenance Management)

With the Service Milestone Module, maintenance schedules can be set up for any equipment and with just a few clicks. Create to-do lists and set rules to trigger repetitive work orders automatically.

KPI App

The KPI app provides an overview of KPIs such as availability and the performance of the plants. Important information regarding planned and actual quantities, production targets, productivity, and operating time can be viewed and analyzed. Real-time data is collected from the assets and key metrics are presented in a dashboard. The app uses Cumolocity as a backend and logicline assets360 infrastructure modules 'User Management', Edge Essential' and Mobile Framework for the front-end.

The app uses a central IoT cloud as the backend to make the administration of the application as easy as possible for our customers. The Cumulocity IoT cloud platform eliminates the complexity of networking, infrastructure, and device management. 

 The calculations of the KPIs such as availability or throughput are implemented on the edge. With our Edge Essential module, only necessary data is stored in the cloud with aggregations and pre-calculations performed on the edge. 

The KPI app provides the following functionalities:

•  live machine information viewed on the app
•  real-time monitoring of devices with data relating to the KPIs tracked and accumulated over time (day, week, month, year)
• Access to 2-3 KPIs such as:
•  machine availability
•  expected and actual output/production

The KPI App provides many advantages to the customer:

• Hybrid mobile app for flexible use by end customers
• Simple and uncomplicated handling
• An easy way for plant management to track and monitor performance
• Flexible and custom-fit architecture to implement individual customer requirements
• Scalable system can be adapted and expanded in the future

The KPI app can be customized depending on your needs and requirements.

Chatbot

Maintaining complex assets requires access to large amounts of information, manuals, and guidebooks. Service technicians and engineers at the customer may require tools to guide them through diagnosis and problem solving. The Chatbot guides users to solve problems faster through a decision tree. Based on the user's answers, the Chatbot can provide the most relevant information and guide the user to the correct document.

The Chatbot module provides the following advantages:

• Service technicians can improve their efficiency and speed up servicing times
• Quick access to relevant information guided by an intelligent chatbot
• Minimize human intervention and save man hours which can be utilized in more complex tasks
• Leverage the Chatbot to reduce support costs and volumes

The Chatbot leverages other modules such as 'Machine File, Knowledge Management, and Empolis Connector.

Spare Parts Shop

The Spare Parts Shop module can be connected to the Machine File module so that the customer can directly order spare parts within the digital twin. The Spare Parts Shop uses logicline assets360 modules 'Catalogue Service', 'Machine File' and 'User Management'. With this module, the ordering process of spare parts is optimized thereby reducing downtime and improving the service quality. All key spare and wear parts can be ordered conveniently and easily via the Internet at any time. 

The end-customer can view important information needed for online ordering of spare parts. 

• Home page
• User login 
• Customers machines/devices
• articles page
• article no
• article picture(s)
• article description
• price 
• discount 
• option to select quantity
• article availability
• option to download documents (installation instructions, product factsheet, etc.)
• technical details about spare parts (category, description)
• Shopping basket
• Order page
• Request form
• Search results

The Spare Parts Shop can be customized as per the requirements and needs of our customers.

Catalogue Service 

The Catalogue Service module provides the product cataloge including description and availability. The Catalogue Service can be enhanced from third-party sources such as SAP.

Analytics Hub

The Analytic Hub collects process data from the machine’s drive systems, configures the data and runs the analytics service initiating a modelling process. The data is stored in a data lake from where historical data can be conveniently accessed. The data is recorded and  can be presented in the UI of the asset management solution.

The Analytics service uses the modules ‘Mash’, ‘UI’, ‘Connectivity Essential’, Edge Essential', ‘Integration Layer’, ‘Data Lake’ and ‘Model Builder’

An overview of the functions

• Processs drive data is obtained from the device and via the Edge stack sent to the integration layer or is first stored in the data lake
• The integration layer forwards the request to MASH; the MASH is a configuration tool to configure which data services from which devices should be analysed by which analytics service
• Data lake stores the data and provides historical data that matches the query to the analytics module
• This data is presented in an Osciloscope graph
• Manual or automatic tagging of data as ‘good’ or ‘bad’

Benefits

• IIoT connection and optimization of existing drives
• Recording of process data; data of rapidly changing measured values for e.g current and speed
• Meaningful data- labelling the entire data range as ‘good or bad’ allows the data to be meaningful
• Easy to use- configuration options are available on the user interface
• Easy traffic light view to quickly detect and collate anomolies
• Compare different time stamps to understand and detect changes in performance
• Usefully interpret the data in the machines through condition monitoring, analytics, anomaly detection and predictive maintenance
• The data lake can also be provided on-premise allowing for greater control over the data

Analytics Service provides users with process data to analyse and monitor. The analytics function can be used to detect anomalies based on categorization of performance.

Industrial Analytics

An out-of-the-box industrial analytics module is offered using Empolis Service Express Industrial Analytics. This smart solution allows you to accurately predict maintenance of machines, order the right parts in advance and save unnecessary costs thanks to intelligent data analysis.
With targeted data analysis, not only is wear and tear accurately predicted but also where the cause is located. This allows you to take targeted action before your machine fails. In addition to machine data, the entire process is intelligently evaluated to increase production performance. The findings of the analyses are also valuable for customer service- repair times and spare parts procurement can now be precisely planned.

The Industrial Analytics Network (IAN) is offered along with our Machine File, Service Book (ticket management) and Service Milestones modules.

Edge Apps

Edge Apps are small self contained isolation applications-using container technology (e.g. Moby/Docker) that can be managed (installed, updated, removed) independently from other apps located close to the machine. The edge computing layer hosts the Edge Apps that transform data of the machine layer to insights (with added business value) and integrates these insights with business applications.

The Edge Apps can also be made available through an app store from where they can be purchased and managed.

The Edge Apps can be used for machine related data such as:

• Values of physical measures: Temperatures, pressures, forces, duration times, etc.
• Productivity-related measures: Machine states, production quantities, etc. 
• Quality-related measures
• Safety-related information: Operator action logs, etc. 

Possible use cases of Edge Apps that are offered include:

• KPI collection and optimization

In this use case, process data (in contrast to machine or equipment data) of virtually any kind is collected and analyzed to improve processes, e.g. by reducing waiting times or by reducing machine retooling times.

An edge computing resource stores and processes process related data. The PLCs are connected to the edge computer which continuously forwards process data to the edge. The Edge App(s) are then used to process the collected data and integrate with the equipment by issuing commands or integrating with 3rd party systems and the cloud.

The customer can benefit from collecting and optimizing the relevant KPIs to increase process efficiency.

•  Predictive Maintenance/OEE optimization

Predictive Maintenance on the edge describes the planning and execution of maintenance activities based on the observation of the asset’s condition, usually based on sensor data which reflects the equipment’s condition.

An edge computing resource stores and processes maintenance related data. The sensors connect to the edge computer which continuously monitors measurements which directly or indirectly indicate equipment wear out. The edge app in turn processes raw sensor data inputs and deduces the equipment's state and remaining lifetime. An interface can also be provided to integrate to existing maintenance management systems (possibly cloud) for information exchange, maintenance planning, work order triggering and reporting.

The customer benefits by getting rid of fixed maintenance cycles for (potentially costly) equipment, by observing the actual wear out. Downtimes of machines can be reduced and planned, increasing the overall equipment efficiency (OEE). Because the data is gathered and processed on the edge, the customer doesn’t need the bandwidth, or costly cloud storage and computational power in the cloud.