The client was running a legacy material flow tracking system and wanted to replace the system with a more effective one as the system was increasingly expensive to maintain and support and also was not extendable. The client's IT landscape was filled with modern applications and it was difficult to interface the material flow tracking system with modern applications.
Onesti City Hall current data center infrastructure is manly used for internal use and adding more servers and licenses rise the cost of public expenditure. Additionally, Onesti City Hall wants a secure system that will can interact with the local community to rise the engagement of the citizens using their mobile devices.
A youth transportation service was developed and launched for a local community car-sharing service leveraging Sirqul's platform and technology.
Food service delivery companies generally manage large volumes of food or non-food products, with very low profit margins. And, one of their major challenges involves optimizing operational efficiency during food delivery, for accelerated business growth and competitive advantage.
However, to address this challenge, they had no means to know what exactly happens during the delivery hours. Was the food inventory ready to deliver is kept under optimum temperature conditions? Were the drivers taking the right routes? Was the customer order being delivered on time? Their business required visibility of its supply chain operations in real-time, so they could track & monitor what’s happening every minute. This would help optimize operations and save money.
• To implement fleet tracking with industrial equipment and sensors
How will you know when a pump on any of your trucks is on or off? Or how many RPMs your mobile pumps are running at? If you’ve got vacuums and/or tanks on your trucks then you want to know what the current status is, how they’ve been used, whether or not they’re due for maintenance, and other information available using Industrial IoT Sensor Solutions with Tools.Valarm.net.
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.
In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification. The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur. Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY: - Who created the version/who is responsible for the version? - Who released the version? - What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made? - When was the version created? Is this the latest version or is there a more recent version? - Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes? - Is this particular version also the version currently being used in production? The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.
Birmingham wanted to attract more investment, generate more employment, promote sustainability and offer a better quality of life to their citizens. Birmingham needed a solution that can solve the following problems: lack of statutory authority to enforce specific technology requirements, absence of universal standards to disparate networks, fragmented and incomplete GIS information about city utilities, bureaucratic nature of civic planning processes, rising demand for high-speed connectivity and need for more bandwidth and power for data-intensive services.
• Need for integration of distributors and resellers in the service delivery chain • Rising support cost and inadequate service levels • Need for centralized reporting of the consumables status for proactive actions
Cognizant decided to re-engineer the client's existing architecture. Cognizant Developed a single planning and scheduling system based on .Net platform, containing sophisticated business rules. Cognizant new solution with a multi-tiered architecture ensured a flexible, extensible and scalable solution that was robust. Software Components - .Net platform
DasData solved Onesti City Hall challenges by introducing DasCity – SmartCity Dashboard that allows organizing and integration of data such as traffic sensors monitoring, bike sharing system, tourist attraction, urban security, intelligence services, energy, utilities metering, etc.
DasCity Report - encourages citizens to participate actively by introducing mobile technologies and notifications of any incidents in town. DasCity runs in the enterprise solid cloud based infrastructure, offering high level of security and scalability minimizing the risks and costs.
Within 11 weeks, Sirqul built a custom “Uber for Kids” platform that provided resource and fleet management with real-time tracking. After successfully launching and piloting for two years, Sirqul leveraged the same technology and developed a local community car-sharing service called RanchRide. Both solutions offer advanced routing, logistics, chat, video, real-time alerts, traffic avoidance and predictive simulation analytics. As a result of the success, this same technology is offered in partnership with Sirqul as a white-label service to urban mobility and fleet management providers.
Saviant built a cloud-based IoT and Enterprise Mobility platform that provides 100% visibility of supply chain operations in real-time. The platform seamlessly integrates with Microsoft Dynamics AX as well. This IoT solution is powered by Microsoft Azure IoT to provide the necessary capabilities that the business demands. Real-time temperature monitoring of perishable food items is achieved using a fleet of multi-temperature control vehicles, which send data in real-time to cloud and drivers’ mobile phones. This helps to enable real-time tracking of operations for thousands of customers’ orders daily. The result is the customer delight through high-quality customer service by delivering the right food at right time and to the right location.
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Some examples our customers use:
• PWM sensor adapter for monitoring flowmeters and fluid flow rates
• Knob sensor for monitoring switches and when industrial equipment like heavy duty vacuums are turned on or off
• 4-20mA sensor adapter to monitor specific gases like H2S, Hydrogen Sulfide, and Volatile Organic Compounds, VOCs
4-20mA sensor adapter to monitor fluid, water, and liquid levels in tanks
The key component in every box on each vehicle, truck, and trailer is the GSM Sensor Hub. Industrial equipment is monitored by the sensors in the box, like the GPS and 4-20mA sensor adapter, which connect to a GSM sensor hub that sends all of the GPS-tagged sensor data to Valarm Tools Cloud.
The vehicle information is uploaded in real-time as often as you need it. And you can easily change how often the fleet vehicles report at any time on Tools.Valarm.net. You can use Time at Threshold Totalizers to know how much time equipment has been turned on and in use. For example, exactly how many hours has 1 of your pumps or vacuums run in the last week? There are also Totalizers for keeping track of exactly how much fluid or water has been pumped with your flowmeters and assets.
A global corporation in the transportation and logistics industry completed a trial of C3 Vehicle Fleet Analytics in less than one week, demonstrating the ability to rapidly develop big data predictive analytic applications on the C3 IoT Platform.
The trial was scoped to analyze 10,000 vehicles with historical maintenance records and 3 years of sensor data. C3 IoT first defined the data model to store vehicle and vehicle sensor data. Using the metadata based C3 Type System, C3 IoT rapidly defined the data and canonical object models and the transformations required to convert source objects to the C3 data model. This then enabled the C3 IoT team to rapidly ingest the sensor data for all 10,000 vehicles (approximately 1 TB) in under a day. Additionally, C3 IoT defined 26 time series analytics based on vehicle sensor data. These analytic were then fed into a machine learning classifier to predict battery failure.
With less than a week of work, the C3 IoT team:
• Developed a data and canonical objects model for vehicle operations
• Loaded a terabyte of vehicle and vehicle sensor data
• Developed 25 time series analytics
• Defined and executed a machine learning classifier across the entire data set to predict which vehicles would experience a battery failure
The Siemens Solutions Partner AUVESY (Automated Versioning Systems) has developed a major PCS 7 add-on for its versiondog software that can be integrated seamlessly into any SIMATIC PCS 7 setup while meeting all data management requirements. The versiondog software allows users to back up, version and document not only SIMATIC PCS 7 projects, but also software versions of all other automation devices involved in production. The data management system is usually installed on a virtual machine in the local network and is available to all users who have been granted the necessary authorisation. The versiondog PCS 7 add-on is installed with full functionality in the production network of a SIMATIC PCS 7 installation and is able to: - Carry out all data backups and version management throughout the entire lifecycle of a SIMATIC PCS 7 installation. - Ensure that only the valid version is used in production due to automated backups of the automation systems and cyclical comparisons with the version released on the server. This can also help to detect cyber-attacks. - Plan and map out the entire lifecycle of a SIMATIC PCS 7 system, from commission to operation, with a complete change history. - Compare SFC and CFC blocks of a SIMATIC PCS 7 project without the need for any additional drivers. Blocks can be compared graphically or in text form using versiondog’s proprietary SmartCompare technology. All differences are highlighted in colour and can be individually selected, thus removing the need for manual searches. - Fully document changes within a SIMATIC PCS 7 project for audits, validation or certification. - Provide version control of software versions for immediate device restoration when errors occur (disaster recovery) The versiondog software is the key to providing optimum data management support for process control systems. Siemens knows this, too, which is why versiondog is listed as an official PCS 7 add-on in the Siemens Industrial Mall at www.mall.industry.siemens.com. For additional details view: https://mall.industry.siemens.com/mall/en/WW/Catalog/Products/10048340
Atos was selected by the Digital Birmingham team to advise on the development of a comprehensive plan incorporating MyCity methodologies and approaches to digital city challenges. Atos marshaled resources and formed a working party with representatives from academia, business, the construction sector, planning departments and economic development community. Through planning policy workshops, research and deep analysis, Atos compiled a detailed picture and applied strategic insight to shape their recommendations. Software Components - Atos Smart City platform
Challenges Resolved • Monitoring health and consumables at the device level • Supporting the launch of both software based services and managed services • Deployment and roll-out of solutions for varying customer needs and partner service programs across geographies How we did it • Creation of service delivery platform providing customer management, reseller management, and remote monitoring functionalities • Providing capabilities for customer life cycle management, onboarding, account management, payments, and settlement capabilities • Enabling reseller management through onboarding, revenue management, and service notification automation • Creation of a global alert and visualization system, along with data and notification collection
The client is a global leader and one of the largest suppliers of polyester film that are used in industrial and electrical markets.
City of Onesti
Large automotive manufacturer
Leading UK’s food service specialist, which delivers more than 4500 products to over 30,000 customers including delis, restaurants, caterers and cafes.
A global corporation in the transportation and logistics industry
Auvesy's process control system support with Versiondog has been used by many pharmaceutical companies, including: Amgen, Boehringer, Saxonia Medical, Fresenius, GlaxoSmithKline, KVP (Bayer Health Care), Lohmann & Rauscher, Lundbeck Pharma A/S, Rentschler, Roche Diagnostics, Sun Chemical, Vetter Pharma, and Xellia Pharmaceuticals.
Birmingham City Council is the local government body responsible for the governance of the City of Birmingham which is the most populated local council in the UK.
The client is an American multi-national office automation product & services organization.
|Solution Maturity||Emerging (technology has been on the market for > 2 years)||Emerging (technology has been on the market for > 2 years)||Mature (technology has been on the market for > 5 years)||Emerging (technology has been on the market for > 2 years)||Emerging (technology has been on the market for > 2 years)||Emerging (technology has been on the market for > 2 years)||Emerging (technology has been on the market for > 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Mature (technology has been on the market for > 5 years)|
Material tracking data, inventory storage, product line activities
Real-time location data of vehicles, employees, and children. Driver manifests and EDLs. Messages, dispatching communications, timestamps, calendars, and schedules.
Tank volumes, Pressures, Fluid flow rates, Vacuums, Pumps on or off, Pump RPMs
Field devices, PLC data, SCADA systems, robots, and other automation devices. Full data is collected consistently from all devices linked to the solution. Data can be used for disaster recovery. CFC and SFC plans are also stored and can be compared in detail.
Near real-time tracking of city utility data, traffic data, Internet usage
Health and consumables of devices
|Original Full Case Study|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|| Open in new tab|
|Youtube Video ID||873gV-unBzQ||873gV-unBzQ|
|Use Cases||Process Control & Optimization (PCO)||Smart City Operations||Process Control & Optimization (PCO)||Fleet Management (FM)||Fleet Management (FM)||Process Control & Optimization (PCO)||Smart City Operations||Process Control & Optimization (PCO)|
Data Aggregation - Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Increased Efficiency - Fast data transmission allows for quick response time
99% on time delivery and pick-up
Real-time temperature monitoring – Food delivery service company can now monitor multi-temperature control vehicles using this solution, enabling minimal risk of customers returning the goods.
Improved safety and security through improved management of data. Cyber-security is greatly improved through the ability to identify and prevent cyber attacks.
Operation Efficiency - Free wifi and internet access were enabled around the city to increase city operation efficiency and economic activity.
Improved device management capabilities integrated to service delivery by impacting service levels
Real-time Tracking - Real-time interfacing with other systems through the solution.
Actionable Results - High levels of data allow relevant individuals to change policy or regulations given their revelations
Improved routing efficiencies and time window accuracies, thus increasing revenue per route.
100% real-time supply chain visibility on Mobile phone – With IoT and Enterprise mobility platform, drivers can now check the temperature of perishable food items before delivery, get messages on right route, and collect the right amount from the customers even without any network; thereby, ensuring right delivery at right time.
Automated audit trail protocol.
Traffic Flow - Congestion was reduced with smart mobility solutions, including intelligent parking, electric vehicles and pay-as-you-go car hire.
Enabled the company to transform its business model to keep ahead of competition
System openness - Further application development and upgrade are possible due to scalable and extensible reporting solution.
New revenue model for auto manufacturer leveraging unused vehicles and latent assets.
Time-savings for engineers due to the easy comparison of CFC and SFC project data.
Flexible Working Options - Remote and home-based work were enabled to enable improvements in energy usage, traffic flow, and parking patterns.
Customer delight & repeat business due to faster fresh food delivery and 100% accuracy in customer-order fulfillment.
Fleet of 10,000 vehicles with 26 sensors per vehicle
Return on investment is generally achieved within six to twelve months.
Reduced time- to-market by 40%
Zero errors in cash calculation and less time spent for stock checks.
One TB of data: 16 billion rows of raw data and 3 years of sensor data
Increases of quality and quantity of 20-30% are experienced by most customers.
US$100M worth of cost savings achieved in the first 15 months of operation
Improved operational efficiency due to 100% visibility of supply-chain operations in real-time.
More than 25 analytics created for failure prediction algorithms
Customers report an average 25% reduction in downtime.
|Software||SIMATIC PCS 7versiondog|
|Tech Partners||Microsoft Azure||SiemensDigital Factory (Siemens)|
IoT Snapshot: Hardware
|Processors & Boards|
|Sensors & Actuators|
|Devices & Equipment|
IoT Snapshot: Software
|Software as a Service|
|Platform as a Service|
|Infrastructure as a Service|
IoT Snapshot: Service
|Construction & Buildings|
|Equipment & Machinery|
|Logistics & Warehousing|