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With our assets360 modular building blocks the following applications are already available.

User Management

The User Management feature allows you to manage the users within your tenant. The User Management is built using logicline assets360 module 'User Management'.

With the User Management, the admin can:

  • View user count (overall, active, pending, disabled)
  • Create groups and subgroups
  • Assign users to groups and subgroups
  • Filter users by groups and by role-admin or user
  • Create, add, edit, disable users
  • View user profiles
  • Send invitations
  • Approve or deny registration requests
  • Manage and assign roles (admin, user)
  • Manage pending registrations
  • Manage user profiles
  • Store user details
  • Choose notification severity (critical, alarming, harmless)

Profile of the logged user is also displayed on clicking the right-hand settings buttons. Password and other user details can be edited by the user from here.

The User Management can be customized as per customer requirements.


Dashboard

The dashboard can be accessed from the Dashboard tab. The dashboard provides the most important overview of your assets. It allows you to visualize your data and derive business insights. Some of the information that can be viewed on the dashboard include

  • number of machines and its components
  • number of (unresolved) incidents (incidents<24 hrs, incidents>24 hrs, critical incidents)
  • device location (viewable on an interactive map)
  • device health

The dashboard can be designed individually according to customer needs. Widgets displayed can be added, removed, and changed as per requirement and freely designed depending on the customer application.

Machine File

The Machine File provides an in-depth look into the machines and devices. The Machine File is built using logicline assets360 modules 'Device Details',  'Machine Tree',  'Picture Service', 'Document Management' and 'Logbook'.

The Machine File includes

  • Device registration and onboarding
  • Machine tree
  • Import and export functionality
  • Device details including metadata
  • Document management
  • Service Logbook

Device Registration and onboarding

With device registration and onboarding, users can digitally record and manage devices and components. The following details can be registered

  • Parent machine
  • Device name
  • Device type
  • Description (blank field)
  • Barcode/Scan
  • Manufacturer
  • Year of construction
  • Device image

The registration tab can be accessed from the register tab

The custom types feature allows users to incorporate custom details into the default device type list (filled during device registration)

Machine Tree

The greater visibility into the assets can help to improve productivity and gain valuable insights. With the machine tree, the user can obtain

  1. a hierarchical representation of the system structure, including the corresponding child devices.
  2. The data from different sources with various file formats (csv, xml, xls etc.) is supported. The information is displayed in an easy to navigate and use tree view.


Device Details

Detailed overview of devices can be viewed including 

  1.  Device name, device type, manufacturer, barcode, year of construction, etc. is made available for a comprehensive device overview.
  2. Historical information of the device including running hours, operating hours and error count.

Document Management 

In addition, the user benefits from machine documentation that centralizes information in a paperless document storage and allows the documents to be uploaded and searched. Relevant information can be found quickly with documents accessible anywhere and anytime. With stored documents available easily, solutions to problems can be found quickly*.

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


Service Logbook

With the Service Logbook, all changes are recorded and preserved. It is possible to document and archive each change in chronological order.

Service Book

The Service Book allows service requests to be recorded, prioritized, and forwarded as required. This function enables the user to create incidents for the defective asset and also choose the service request option. The service book requires logicline assets360 modules 'Machine Tree, 'Device Details', 'Picture Service' as well as 'Service Request'.

An incident can be created. Information that can be recorded include

  • Severity level (minor, major, critical)
  • Incident description
  • Barcode/scan
  • Incident image

Incidents can be sorted by date, severity and status for easy viewing.


Once an incident has been created, service repair can be requested.




The Service Book allows for incidences to be properly recorded and managed so that the right personnel can quickly resolve issues.

EPLAN Plus

 EPLAN import panel allows the user to import the machine tree hierarchy from EPLAN. The EPLAN application is built using logicline assets360 modules 'Machine Tree' 'Device Details', 'Picture Service' and 'EPLAN Connector'.*

  • EPLAN panel can be opened from the machine tree section in the "Devices" page
  • Users can sign in to get redirected to EPLAN portal
  • Logged in user can select and import EPLAN project from the select field

The EPLAN Plus allows easy access to stored EPLAN documents with direct device allocation. Useful circuit diagram projects are conveniently available for access in the event of an error and during subsequent fault elimination.

*The Eplan Plus integrates with third party EPLAN Data Portal. 

Smart Document Finder

The Smart Document Finder powered by Empolis allows documents associated with individual assets to be uploaded and searched. The application enhances the Machine File application and is built using logicline assets360 module 'Machine Tree, 'Device Details', 'Document Management', 'Picture Service' and 'Empolis Connector'.*

The integrated search function allows the stored documents to be searched for particular keywords. Faults can be found quickly in the operating instructions and a solution sought. The search result allows information in the stored documentation to be found extremely quickly and used as required. The search results are highlighted and can be selected based on relevance. 


*The Empolis Connector integrates with third party Empolis.

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 through a decision tree. From the user's answers the Chatbot can provide the most relevant information and guide the user to the correct document.

The Chatbot 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 uses modules 'Machine Tree', 'Device Details', 'Document Management', 'Picture Service' 'Decision Tree Creator' and Empolis Connector.

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 as well as logicline assets360 modules 'Connnectivity Essential', Edge Essential' and 'Mobile Essential'.

Cumulocity Webservice

The app uses a central IoT cloud as backend to make administration of the application as easy as possible for our customers. The Cumulocity IoT cloud platform is used to eliminate the complexity of networking and infrastructure and device management. Cumulocity's functionalities such as user management, device management, data structuring, measurements and alarms are utilized for the KPI app.

Edge Essential

The calculations of the KPI such as availability or throughput are implemented on the "Edge Essential Module". Only necessary technical data is stored in the cloud with aggregations and pre-calculations performed on the edge. 

Mobile Essential

The 'Mobile Essential' module allows 2-3 KPIs to be shown on the mobile app.

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)
  •  app can be used in browser and as an installed app on the smart phone
  • 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

  • Easy way for plant management to track and monitor performance

  • Flexible and custom-fit architecture implements individual customer requirements

  • Scalable system can be adapted and expanded in the future

The KPI app can be customized with our different building blocks and preconfigured templates.

Spare Parts Shop

The Spare Parts Shop is provided as a webshop that can be connected to the asset management so that the customer can directly order spare parts within the digital twin. The Spare Parts Shop uses logicline assets360 modules 'Catalogue Service', 'Webshop' 'Machine Tree', 'Picture Service' and 'User Management'.

The Catalogue Service module provides products such as spare parts including description and availability. The Catalogue Service can be enhanced from third party sources such as SAP.

The Webshop module queries the different services such as Catalogue Service, Picture Service and assets360 Machine Tree to provide the spare parts to the customer in a user-friendly interface.

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 ordering process of spare parts is optimized thereby reducing downtime and improving service quality. All key spare and wear parts can be ordered conveniently and easily via the Internet at any time. 

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

Ticket Management

The ticket management application allows users to create, filter, and assign tickets to staff.  Through the dashboard the following ticket information can be displayed:

  • Tickets that are open 
  • Tickets that are currently in progress 
  • Tickets that are finished can be viewed


To ensure that tickets are managed productively and efficiently, detailed information can be provided:

  • Detailed description of the problem
  • Status 
  • Assign devices to tickets
  • Priority (minor, major, critical) can be assigned to indicate severity levels
  • Upload pictures
  • Access to device information (device type, name, description, manufacturer, construction year, installation year, status, type label, running hours, operating hours, country, postal code, state, street, house number, city, parent device name etc.)


Through the ticket management, service calls can be requested and scheduled with the OEM's service team. The service team will be provided with details of the incident to ensure that the service process is streamlined.

Training Academy

A Virtual Training Academy can provide tools for operators to benefit from trainings, learnings and simulation. The virtual training can mimic real life shop-floor environments providing a close to real life experience.

The Virtual Academy is built with our module 'TriCAT Connector' and connects to the third party service TriCAT.

Live Data

The Live Data application is built using logicline assets360 modules 'Connectivity Essential', 'assets360 UI' and 'Machine Tree'. 

The Live Data shows real time data of the connected devices. The devices are connected to the device cloud using the 'Connectivity Essential' module. The device data is retrieved directly from the device cloud in real time and the live data is forwarded to the assets360 UI. An active device connection is indicated within the device list table.

Remote Alarming  and Notifications

Receive real time notifications in assets360 to keep up-to-date with important information such as incidents, device status etc. The Alarming Notifications application is built using logicline assets360 modules 'Connectivity Essential', 'Machine Tree', 'User Management as well as the assets360 'UI'.

Remote Support

Remote Support allows OEMs engineers to provide assistance to end-customers. Tickets or description of the issues can be forwarded to the OEM and remote assistance can be scheduled easily through a click of a button. Picture, documents and time logged is attached to the ticket and made available after the call.

The Remote Support is provided using the modules ‘Ticket Management', 'Oculavis Connector'.*

The following features are provided:

  • End-user can select a time and data to schedule remote support
  • Confirmation is provided via email notification
  • Reminder email is sent before the call
  • Call information (including pictures, time logged) is stored in the ticket

The benefits of Remote Support include:

  • Connecting to customers and solving problems remotely
  • Reduce travelling cost and time
  • Deliver expert knowledge globally
  • Save all important documentation and call logs associated with ticket

*Remote Support is provided via third parties such as Oculavis

Analytics Service

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.

assets360 for Salesforce

The Salesforce App integrates assets360 with Salesforce and allows for the syncing of assets, cases/service tickets (cases in Salesforce and service tickets in assets360). The app ensures that the customer is provided a 360-degree overview of the assets. With integration to Salesforce, the leading CRM enterprise system, the customer gets a service overview (with a focus on cases and asset) and obtains greater insights into sales and customer related tasks.

The app can be coupled with our assets360 asset management solution or used on its own with our assets360 backend. The assets360 Salesforce app is built with our 'Salesforce Connector', Integration Layer.

Hint: The app will be available via AppExchange, is not yet released.

The App can be used to:

  • Create a case and link it to an incident (in assets360 and vice versa)
  • Create devices in Salesforce and access them in assets360
  • Update cases in Salesforce and access them in assets360
  • Update devices
  • Receive real time device updates into Salesforce
  • Receive real-time measurement updates from the device cloud (into SF and assets360)
  • Service milestones can be added to a product to track the lifecycle of each asset.
  • A service case can be created with priority levels
  • Information regarding support contract to track what is sold to customer, what is included in terms of contract (e.g. warranty, training etc.)

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.

Edge Smart Recipe Monitoring

A smart recipe monitoring to monitor performance and determine the correction factor for the parameter selected. Users will need to input the desired recipe in the Edge and analyse the result of the recipe. During the analysis, the Edge will collect real time data of the process or receive them as manual input from operators.

  • The Edge Smart Recipe Monitoring is built using modules X; Y; Z

The advantages of the Smart Recipe Monitoring include:

  • The Edge will compare desired result with actual process result and display it on a easy to use User Interface (UI)
  • The User Interface (UI) will show the user how far the current batch is from the desired recipe and suggest the amount of material required to reach the recipe requirements.
  • The system will store the process data for further analysis.
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