Organizations today are under tremendous pressure from management and customers to deliver a higher quality of products and services at lower costs, and to do so using existing resources. Any expenditure companies do make to help them achieve this goal is expected to deliver a measurable, hard-dollar ROI—and to deliver it quickly. For product manufacturers in particular, ROI has traditionally translated to “reduce costs.” However, cost is just one piece of the ROI equation.
Today’s market leaders understand that ROI is multi- dimensional and that, in many cases, the cost-savings component can be secondary to other returns such as improving customer satisfaction, brand differentiation, and the collection of accurate data, all of which can also drive increased revenues.
Fire alarm systems are essential in providing an early warning in the event of fire. They help to save lives and protect property whilst also fulfilling the needs of insurance companies and government departments.
Fire alarm systems typically consist of several inter-linked components, such as smoke detectors, heat detector, carbon monoxide, manual call points, sounders, alarm and buzzer. The fire alarm system should give immediate information in order to prevent the fire spread and protect live and property.
To get maximum protection a shoe manufacturer in Indonesia opted for a new fire alarm system to monitor 13 production sites spread over 160 hectars. Although the company had an existing fire alarm system, it could not be monitored remotely.
It was essential that the new system would be able to be monitored from a central control room. It needed to be able to connect to the existing smoke detector and manual call point. Information should be easily collected and passed on to the Supervisory Control and Data Acquisition (SCADA) system. Furthermore, the system should have several features such as alarm management, auto reporting, being connected to many client computers without additional cost, and run 24/7 without fails. The company also needed a system which could be implemented without changing the architecture of the existing fire alarm system.
• The non-smart legacy surveillance platform lacks video processing capability, resulting in unclear images and low work efficiency
• The existing information systems are isolated, making it difficult to centrally manage video surveillance products and achieve multi-platform interconnection and collaboration. As a result, intelligent analysis of massive data and effective data mining are impeded.
In the third wave of industrial evolution, we had automation that produced large amounts of data. This data had high potential for analytic applications, but it was not easy to analyze because it was siloed in the machines where it was generated. With this project, we demonstrate that it’s not complex to send the data to the cloud using secure and reliable services that allow us to analyze the data in near-real time and build maching learning models to extract knowledge from it.
The 215,000 street lights in Los Angeles include more than 400 different styles distributed across 7,500 miles of roadway. Maintenance has traditionally depended on crews who scout the streets at night to identify outages— that, and calls from citizens. The bureau handles 40,000 such calls per year. They needed to find new technology that could improve customer service, make people feel safer, and create a more livable city.
• Liaoyuan's demands for building a high-quality smart city, covering multiple sectors, including city management, emergency command, public security, and health care.
• Unable to connect different functional sectors for lack of a unified information system; without IoT, city management is restricted to manual intervention.
So, with the increasing threat of severe precipitation, the continuing need for improvement, and the unforgiving fiscal environment, municipalities find themselves grasping for ways to do more with less.
Water pumping, treatment and conveyance are among the largest energy and cost outlays for many local and regional municipalities. Electricity time-of-use rates and peak pricing tariffs are driving those costs even higher. This case study describes how Monterey Regional Water Pollution Control Agency (MRWPCA) implemented a process data monitoring and control solution in order to analyze and optimize energy use, reduce deployment costs and save operational expenses.
Unmanned weather stations play an essential role in the effort to analyze and predict the world's ever-changing weather patterns. The unmanned stations collect and store large amounts of weather data and then download the data at regular intervals to a back-end host for analysis and long-term storage. The computing device housed in the weather station must be robust enough to work continuously for long periods of time while exposed to a wide range of temperatures. It should also be able to collect readings from various sensors that use different data transmission protocols, and have the capability to store large amounts of data.
ThingWorx Industrial IoT platform from PTC, presents examples of IoT value propositions and defines an ROI model for building a business case and tracking results related to IoT initiatives. This paper uses real-world customer results and a set of key metrics to help executives and managers understand the return they should expect when investing in IoT.
A state-of-the-art remote monitoring system by Advantech designed for the purpose of detecting fires:
The ADAM-6000’s are 8-channel thermocouple input modules used to monitor temperature. They come with 8 T/C input channels and 8 digital output channels. To connect to field sensors and enhance the accuracy and reliability for thermocouple measurement it also comes with an external DIN-rail terminal board for wiring to the field sensor.
EKI-5525 ProView switches are used to connect the fire alarm system and provide the information about status and speed connection for each port. They are the world’s first convergence switches for process control and IT networking management.
They use Modbus/TCP to communicate with the SCADA software and SNMP to communicate with a Networking Management System (NMS) at the same time, thereby allowing full read control over the devices either for control engineers or for IT.
The devices come with the Port-based QoS for deterministic data transmission allows the priority ports to prioritize the traffic coming over those ports and delay the less immediately necessary data over the remaining ports. The information is collected in an IPC-5122 industrial panel PC server.
Advantech WebAccess SCADA software is installed and records the historical log in. Going beyond SCADA, WebAccess 8.x is also an HTML5-based Business Intelligent Dashboard. It analyses data and helps managers make decisions, and can be opened from anywhere on any HTML5compatible browser.
WebAccess 8.x provides developers with the tools to design their own widgets and applications and the integration of Microsoft Excel reports. Included is a set of Excel templates, and users can build their own report templates to generate daily, weekly, monthly and yearly reports to help predict the status of equipment.
Through HTML5, a limitless number of users, with varying access levels are able to read information and make changes from wherever they are using either the Internet or Intranet.
If the system finds that fire is detected, then an early warning system is controlled by an ADAM-5000L/TCP Ethernet-based I/O system that allows remote configuration via Ethernet.
The ADAM-5069 is designed for on/off control in high-voltage applications. Its major feature is the power relay rating at 240 VAC and 5 A. This range can satisfy most requirements for driving externally controlled devices such as lights, fans, alarm systems, and various electronic devices in industrial automation, security, building and home automation applications.
• Build the safest city service cloud based on the unified safest city platform
• Interconnect with the Police Geographic Information System (PGIS) to implement a wide assortment of smart services, including preventive maintenance of video, behavior analysis, facial recognition, video summary, quick search, image sharpening, and case investigation analysis
The data captured during the molding process is useful to build a machine learning model that will warn us when the quality of the product may be lower than the defined standard.
After piloting systems from several different managers, street lighting directory Ed Ebrahimian selected Philips CityTouch, “the best product at the lowest price.”
CityTouch capabilities that helped decide Ebrahimian included remote monitoring, automatic notification of outages and other events, easy installation and simple commissioning, accurate lighting asset information, integration with the bureau’s existing management systems, and futureproofing through software as a service delivery.
• CityTouch software
• CityTouch connector node
• Deploy a comprehensive analysis and command platform to interconnect applications and eradicate information silos
• Deploy application systems, including Smart City management platform, Digital City management platform, Emergency Command platform, Smart Hospital, and Safe City
• Dynamically allocate resources based on IoT and cloud computing
Seeing this disconnect between increasing needs and decreasing means, Opti has developed a way to make stormwater infrastructure perform better. Their Continuous Monitoring and Adaptive Control (CMAC) system uses cloud-connected sensors and remote-controlled actuators to preempt surge and overflow events in stormwater storage systems.
Engineers determined that MRWPCA has the potential for additional peak power reductions by monitoring and controlling “time of use” (TOU) power requirements at the plant. Savings would come in part from qualifying for alternative PG&E rate structures, leveraging the use of the solar installation and carefully controlling monthly peak power demand. The plant set a goal to maintain peak loads below 500 kW to qualify for a lower electricity tariff that would minimize monthly costs. These energy management goals required the ability to closely monitor and analyze a massive amount of new real-time data from twenty individual pumps and plant processes, with the ability to control discretionary lighting loads. In order to facilitate these goals, MRWPCA chose and installed a new energy and demand monitoring system. The MRWPCA energy monitoring and demand management system was developed through a cooperative effort with MC Engineering, Inc., a California-based engineering consulting firm, and Candi Controls, which provides a cloud-based platform for machine-to-machine (M2M) data monitoring and control. MC Engineering specializes in identifying efficiency gains for water and wastewater utilities by leveraging technology and real-time data to develop projects that are funded from resulting efficiency gains and related savings. Candi Controls specializes in cross-platform, device- and protocol-agnostic communications. The company also has a suite of “PowerTools” user-interface templates which leverage its M2M platform, one of which was used to cost-effectively create a unique MRWPCA mobile and browser app. Water treatment systems analysts began the project by obtaining in-depth knowledge of plant operations, conducting a facility audit and targeting strategic loads for monitoring. Low-cost energy monitors were then installed at strategic locations throughout the plant to meter instantaneous power usage. The data is encrypted and streamed via a local network to a hosted cloud service for archiving and processing. Additional network-based control switches were installed to manage industrial lighting during high-use periods if required to help keep peak load below the threshold goal. By monitoring large loads that have some degree of operator discretionary control, an optimal time-of-use strategy and target usage peak was to be maintained. The data and controls are managed through a software Application Programmer Interface (API) and presented to operators through a secure web-based graphical interface on laptops, computer screens and portable Apple iPad tablets. The app includes a Facility Overview page to provide staff with at-a-glance real time power data.
Protocol Conversion and Front-end Data Processing The data collected by a typical unmanned weather station includes temperature, rainfall and snow accumulation, air pressure, humidity, and ultraviolet intensity. One of the tasks that the UC-7420 unit must handle is protocol conversion, since there is no guarantee that the devices collecting the weather data all use the same protocol. In addition, the UC-7420 can be used to do preliminary data processing before downloading data to the central computer. MOXA's UC-7420 is ideally suited for these tasks, since the user can easily embed a C program that is custom written for the devices used at the station. If future changes involve adding or removing devices, the programmer simply needs to modify the C code, recompile it, and then download the executable program over the network to the UC-7420 unit. Connecting to the Network and the Internet In addition to being programmable, the UC-7420 also offers users an array of connection options. To begin with, data entering the serial ports from attached sensors can be processed and then forwarded through one or both of the dual Ethernet ports to the LAN. One of the serial ports can also be connected to a V.90 or GPRS modem for PPP connections, and a PCMCIA port is available for installing a wireless LAN card for 802.11b/g networks. By including multiple connection options in the UC-7420's design, user's gain the flexibility needed to connect from virtually anywhere. Combinations of connection types can also be used to provide redundancy. For example, if unavoidable network problems cause an interruption in service, the user can connect by modem. CompactFlash Storage Space One of the dilemmas faced when creating a "small" computer is how to provide users with adequate storage space. For unmanned applications, it is best if the storage device does not contain moving parts. Although hard drives may seem to last forever for day-to-day use, we cannot make this assumption for continuous use at remote locations. The UC-7420 overcomes this problem by providing a CompactFlash slot. If needed, flash memory cards with storage capacity of up to several gigabytes can be used to store data until it is convenient to transfer the data to a central computer.
Leica Microsystems is a leading global designer and producer of innovative, high-tech precision optical systems for the analysis of microstructures as well as a broad product portfolio for histopathology. It is one of the market leaders in the business areas of microscopy, confocal laser-scanning microscopy with corresponding imaging systems, specimen preparation, and medical equipment.
Varian Medical Systems is engaged in the design, manufacture, sale, and service of equipment and software products for treating cancer with radiotherapy, stereotactic radiosurgery, and brachytherapy. It also designs, manufactures, sells, and services x-ray tubes for original equipment manufacturers,as well as replacement x-ray tubes and flat-panel digital image detectors for filmless x-ray imaging in medical, dental, veterinary, scientific, and industrialapplications. It designs, manufactures, sells, and services linear accelerators, digital image detectors, image processing software, and image detection products for security and inspection purposes.
A Shoe Manufacturer in Indonesia
Systems integrators and manufacturers looking to use IoT Hub to have real-time capture of equipment data.
Those in the field of stormwater management.
The Monterey Regional Water Pollution Control Agency (MRWPCA) operates a regional wastewater treatment plant that is the world’s largest water recycling facility designed for raw food crop irrigation. MRWPCA operates 25 pumping stations and a main plant that together treat 20 million gallons of wastewater per day.
|Solution Maturity||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)||Mature (technology has been on the market for > 5 years)|
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|Use Cases||Process Control & Optimization (PCO)||Asset Health Management (AHM)||Smart City Operations||Manufacturing System Automation||Smart City Operations||Smart City Operations||Smart City Operations||Asset Lifecycle Management (ALM)||Process Control & Optimization (PCO)|
Reduce unscheduled downtime
Remote Monitoring of Fire Detection Architecture
Immensely improved application value of massive data
Through Azure's services, a Windows Service was developed to connect IoT Hub geared to gather and compress CSV documents and other direct sensor information.
Unified monitoring and optimized camera distribution: enables collaboration and linkage of multiple peripheral units (PUs) and multi-platforms
Opti also utilizes a standard suite of hardware for their platform, which can be configured in a number of different ways. This allows for their platform to interface with a wide variety of different infrastructures, and makes it easy for municipalities and private commercial customers to slowly scale its deployment by reducing the complexity of the watershed-scale solution.
The enterprise-wide solution allows energy managers to collect data from a number of facilities through one centralized interface. Various reports can be generated at the click of a mouse, including instantaneous, fifteen minute, and hourly average demands for a selected interval, and for one or more monitored processes.
Multiple connection options for greater networking versatility. Maintenance personnel can monitor from a remote location
Improved service productivity
Improved prewarning and backtracking capabilities through the smart system and cross-platform collaboration help build an all-round smart application platform for a safest city
A Machine Learning model was developed, fed with all the historical data that has been gathered by the control computer and joined with the customer labels that are retrieved one month later. This model will be retrained with new data when needed.
Able to deploy strategically by connecting the system with the public security system
Opti’s capabilities aren’t limited to flood prevention. The platform offers a wide array of functionality, including rainwater harvesting, environmental monitoring, and hydromodification.
Programmability gives system integrators infinite possibilities. No fan, no hard drive design for longer MTBF. CompactFlash slot for adding gigabytes of storage space
Saved service costs by reducing service site visits
A Power BI dashboard was developed to see the curves and the Azure Machine Learning-trained model results as executed in Stream Analytics for each piece in real time.
After selecting Particle, Opti went about integrating the Electron with their existing CMAC platform and getting their new units deployed in the field. What Bedig and the rest of the Opti team found with Particle was a resounding success. Perhaps most importantly, the Particle-based solution was faster and more responsive than their previous version. However, because they were on a tight time schedule, their time to market was also mission critical.
Cut field service visits by 33% to save more than USD 500,000 annually
Ability to remotely manage more than 100,000 street lights to create a more livable city
Improved work efficiency: extensive use of intelligent analysis and 3D module display in urban management increases work efficiency by 40%
Ability to control loads in a facility through a variety of different device protocols. The process of adding a new control point and protocol to an existing operator user interface (UI) takes about 60 seconds. Real-time control signal latency is typically less than 200 milliseconds.
Reduced unscheduled downtime by 40%
Average of 700 service calls resolved remotely per month; saved USD 2,000 of service costs for each problem solved remotely
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|