Tondo Smart Lighting also creates an open standards-based Smart City network for connecting sensors and other wireless and wired devices to Tondo's Cloud-IQ management platform.
This can reduce sensor and device deployment costs by 80% or more versus proprietary networks or individual cellular connections, with a 2.7x or greater benefit versus your LED retrofit project, and 3.5x over Smart Lighting alone.
Read more about the Business Case for Smart Lighting on this link.
Normally open(NO) and Normally closed (NC) are terms used to define the states that switches, sensors or relay contacts are under when they are not activated.
A NO contact or a normally open contact is the one that remains open until a certain condition is satisfied such as a button being pressed or some other manner of activation such as those based on temperature, pressure, etc.
A NC contact or normally closed contact is the exact opposite of NO contact by function. It remains closed until a certain condition is satisfied.
Lighting control cabinets typically control a group of street lights or advertising signage from a "control cabinet". These controls have historically provided on-off functionality based on the time of day using an "astronomical clock"-based switch or daylight photosensor. Lights are controlled in groups with no individual control over a specific light.
Although new controllers such as Tondo's Edge-IQ controller have replaced the cabinet-based approach with new technologies that include advanced dimming, remote cloud-control, and support for functionality including sensors and switches, there are many outdoor lights and signs that do not support on-lamp control. Tondo's Cabinet-IQ controller provides new advanced IoT technology support for existing cabinet-controlled lighting.
CAT-M/LTE-M and NB-IoT are similar but have differences that may make one suitable over another, or simply selected based on the support for one or the other that is available in your area.
NB-IoT uses a narrow bandwidth of 200 kHz, where CAT-M uses 1.4 MHz. The maximum data rate for NB-IoT is ~ 250 kb per second, with CAT-M1 reaching ~ 1 Mbps. CAT-M is marginally less energy efficient than NB-IoT. Although NB-IoT has a lower speed, both NB-IoT and CAT-M are suitable for sensor communications since sensors typically do not require much bandwidth.
Both NB-IoT and CAT-M1 are supported under the 5G technology specifications and therefore are ideal for selecting as a standard for sensor communications.
CAT-M wireless (aka LTE-M) is a low-power wide area network (LPWAN) cellular data transmission standard that operates over the data and physical layer. CAT-M was designed for IoT projects, with an average upload speed between 200 kbps and 400 kbps.
Eddystone is an open-source Bluetooth advertising protocol originally designed by Google. It can be used by mobile device applications to deliver improved proximity-based experiences that include applications such as Google Maps.
These packets can be discovered with any Bluetooth LE APIs such as Core Bluetooth on iOS, or android.bluetooth.le on Android. You can also use them with Google’s Nearby Messages API, which can be integrated into an iOS or Android app, and receive “messages” in those apps when a person enters or exits a range of beacons.
Tondo's 2022 estimate was calculated for each lighting category by applying market growth factors for each lighting category between 2015 and 2021 based on U.S. Census data to the DOE dataset.
A RESTful API is an architectural style for an application program interface (API) that uses HTTP requests to access and use data.
The API spells out the proper way for a developer to write a program requesting services from an operating system or other application.
You can read more from the source of this definition at TechTarget here.
A DIN rail is a metal rail of a standard type widely used for mounting circuit breakers and industrial control equipment inside equipment racks.
IP stands for "ingress protection". For IP67, this means:
"6" describes protection of solid particles: No ingress of dust; complete protection against contact (dust-tight). A vacuum must be applied. Test duration of up to 8 hours based on airflow.
"7" describes the protection from water: Ingress of water in harmful quantity shall not be possible when the enclosure is immersed in water under defined conditions of pressure and time (up to 1 meter (3 ft 3 in) of submersion). Test duration: 30 minutes.
Modbus is a data communications protocol originally published in 1979. Modbus has become a de facto standard communication protocol and is now a commonly available means of connecting and communicating with industrial electronic devices.
RS-485, also known as TIA-485(-A) or EIA-485, is a serial communications standard.
Electrical signalling is balanced, and multipoint systems are supported. Digital communications networks implementing the standard can be used effectively over long distances and in electrically noisy environments.
4G devices will work on 4G LTE networks and the earlier cellular technologies, including 3G, EGPRS, and 2G.
Smart city sensors require very little bandwidth, and 3G EGPRS and 4G LTE can easily support the required data rates.
5G networks are relatively new, and most 5G deployments use a combination of 4G and 5G networks.
DALI-2 refers to the latest version of the DALI protocol. While DALI version 1 only included control gear, DALI-2 includes control devices such as application controllers and input devices (e.g. sensors), as well as bus power supplies.
Zhaga Book 18 describes a smart interface between outdoor luminaires and sensing/ communication nodes.
Zhaga Book 18 allows any certified node to operate with any certified luminaire. Certified luminaires and sensing / communication modules are available from multiple suppliers, establishing an ecosystem of compatible products.
The NEMA ANSI C137.4-2021 builds on the NEMA C137.41 7-pin connector standard and the DALI communication protocol. It has additional characteristics and features that align very closely with the D4i family of specifications from the DALI Alliance.
D4i and ANSI C137.4-2021 specify the digital communication between luminaires and devices including sensors and network lighting controllers. The expanded ANSI C137.4-2021 now includes energy reporting data and diagnostics and maintenance data.
The NEMA ANSI C137.10 standard specifies roadway and area lighting equipment connector compatibility. The 3-pin standard does not provide for dimming control, but provides for on/off operation. The later standard C137.41 adds dimming control (5- and 7-pin connectors) and sensor control (7-pin connectors). The newer C137.4-2021 standard provides enhanced functionality and compatibility with the DALI D4i lighting and sensor control standard.
The NEMA ANSI C137.41 standard specifies covers roadway and area lighting equipment connection interoperability. The 7-pin receptacle provides for dimming control and sensor communications.
The NEMA ANSI C137.41 5-pin connector variant adds support for dimming control, but does not include sensor communications support which is supported by the 7-pin connector.
DALI, or Digital Addressable Lighting Interface, is a dedicated protocol for digital lighting control that enables the easy installation of robust, scalable and flexible lighting networks.
Wiring is relatively simple; DALI power and data is carried by the same pair of wires, without the need for a separate bus cable.
The TALQ Consortium has established a globally accepted standard for management software interfaces to configure, command, control and monitor heterogeneous outdoor device networks (ODN) including smart street lighting.
This way interoperability between Central Management Software (CMS) and Outdoor Device Networks (ODN, so called ‘gateways’) for smart city applications from different vendors is enabled, such that a single CMS can control different ODNs in different parts of a city or region.
D4i is the DALI standard for intelligent, IoT-ready luminaires.
By taking care of control and power requirements, D4i makes it much easier to mount sensors and communication devices on luminaires. In addition, intelligent D4i LED drivers inside the luminaire have the capability to store and report a wide range of luminaire, energy and diagnostics data in a standardized format.
Highly reliable hardware, firmware, and software components that perform specific, critical security functions. Because roots of trust are inherently trusted, they must be secure by design. Roots of trust provide a firm foundation from which to build security and trust.
Read more at the National Institute of Standards and Technology: Roots of Trust
The 0.1, 0.2, and 0.5 accuracy class electricity meters established within ANSI C12.20-2015 are accurate to within +/-0.1%, +/-0.2%, and +/-0.5% of true value at a full load.
Tondo's controllers utilize a chipset containing the ARM Cryptocell 300 cryptographic accelerator chip with hardware-protected vault and Root of Trust security. Read more about the ARM 300 family here: ARM Cryptocell 300 Family Overview
The world would collectively achieve 10,546 TWh of energy savings by 2030 [with energy efficient lighting], a sum comparable to over 40% of the world electricity generation in 2011. Saving this amount of energy would prevent the emissions of 5,400 Mt CO2, a figure equivalent to over 15% of the global emissions in 2011.
Electricity and wire theft are significant issues affecting cities worldwide, leading to increased costs, safety hazards, and operational disruptions. Cities like St. Paul, Tacoma, and Los Angeles have experienced substantial problems with copper wire theft, causing streetlights to go dark and necessitating expensive repairs. In response to these challenges, Tondo Smart Ltd. has developed advanced solutions leveraging deep learning AI to detect and prevent electricity and wire theft through its Cloud IQ, Cabinet IQ, and Edge IQ controllers.
Electricity theft is a global issue, resulting in significant financial losses and safety risks. According to a report by the Northeast Group, the world loses approximately $89.3 billion annually to electricity theft, with countries like India, Brazil, and Russia experiencing the highest losses (Wikipedia) (Ofgem). Various methods of electricity theft include tampering with meters, bypassing meters, and illegal tapping of power lines. These activities not only lead to revenue losses but also pose serious safety hazards due to the risk of electrical fires and electrocution.
Today, Tondo has an electricity theft solution in place for Israel’s National Transportation Authority, Netivei, operating on the world’s largest Smart Highway project deployed by Tondo. This solution saves Netivei an estimated $250,000 USD per year in electricity theft-related costs.
The Problem of Wire Theft
Wire theft, particularly of copper wiring, has become increasingly common due to the high value of copper. Thieves target streetlight wiring, causing outages and creating safety hazards for pedestrians and drivers. The financial burden of replacing stolen wires and repairing the damage can be substantial for city budgets.
Real-World Examples:
St. Paul: The city has faced numerous incidents of copper wire theft, leading to darkened streets and increased repair costs. Read more.
Tacoma: Tacoma has implemented various strategies to combat copper wire theft but continues to struggle with this persistent issue. Read more.
Los Angeles: The city has reported an unprecedented level of streetlight outages due to copper wire theft, significantly impacting public safety and increasing municipal expenses. Read more.
How Thieves Steal Wire from Streetlights
Thieves typically employ a two-step method to steal wire from streetlights:
Daytime Cutting: During the day, thieves cut the wires at the junction boxes. This preparatory step is less noticeable as there is already a certain level of noise and activity, reducing the risk of being caught.
Nighttime Theft: Thieves return at night to pull out the pre-cut wires. The cover of darkness reduces the likelihood of detection and allows them to complete the theft quickly and efficiently.
Tondo’s Cabinet-to-Fixture AI-Powered Solutions
Tondo addresses these challenges with its cutting-edge technology designed to detect and prevent electricity and wire theft. Here’s how our solutions work:
Cloud IQ with Deep Learning AI
Our Cloud IQ platform uses deep learning AI to monitor and analyze data from streetlight controls in real-time. This AI-driven approach allows the system to detect unusual patterns in energy consumption that may indicate theft or tampering.
Real-Time Alerts: When the AI detects anomalies, it generates real-time alerts and notifications, enabling city authorities to respond quickly to potential theft.
Proactive Detection: By continuously learning and adapting, the AI improves its ability to identify theft patterns, making the system more effective over time.
Cabinet IQ Energy Management Controller
The Cabinet IQ controller is installed in lighting control cabinets to monitor and analyze electricity quality. It provides advanced energy analytics and SCADA-type control capabilities, crucial for detecting theft.
Energy Monitoring: The Cabinet IQ measures and logs energy usage with high accuracy, identifying discrepancies that could indicate theft.
Anomaly Detection: When abnormal energy patterns are detected, the system flags these events for further investigation.
Edge IQ Streetlighting Controls
Edge IQ controllers are installed on individual streetlight fixtures or within streetlight poles. They play a vital role in monitoring and controlling each fixture’s energy use.
Detailed Monitoring: Each Edge IQ controller tracks energy consumption at the fixture level, providing granular data that helps identify theft.
Secure Communication: The controllers use secure, encrypted communication to ensure data integrity and prevent tampering.
Detecting Wire Theft with Tondo’s Deep Learning AI
Tondo’s deep learning AI can effectively detect wire theft through a detailed analysis of energy patterns and anomalies. Here’s how it works:
Detection of Energy Loss Patterns: The AI monitors the energy consumption at the junction boxes and identifies patterns of energy loss. During the daytime, it can detect when wires are cut by noticing an immediate drop in energy usage.
Full-Circuit Detection: Tondo’s AI monitors all electrical circuits feeding streetlights with advanced current, voltage, phasor, and harmonics monitoring from the lighting control/utility box through to the fixtures using Tondo’s Cabinet IQ and Edge IQ controllers.
Avoiding False Positives: Too many false positives can cause law enforcement to waste their time responding and eventually, stop. Simple detection of a streetlight outage could be a fixture fault, a utility service outage, or a number of other faults at the lighting control cabinet. Tondo avoids false positives by detecting specific patterns in current, voltage, phasor, harmonics, and energy flow over a given time period.
Real-Time Alerts and Response: Once the AI classifies an incident as wire theft, it sends real-time alerts to city authorities, enabling them to respond quickly and prevent further theft.
Don’t be misled by marketing hype that a fixture-based controller alone can detect wire theft: without Tondo’s complete cabinet-to-fixture monitoring, you won’t know the difference between wire theft and a variety of other faults on a circuit.
Benefits
Enhanced Public Safety
By detecting and preventing wire theft, Tondo’s solutions help keep streetlights operational, ensuring well-lit streets and enhanced safety for pedestrians and drivers.
Cost Savings
Proactive detection of electricity and wire theft reduces the financial burden on city budgets. By preventing theft and minimizing repair costs, cities can allocate funds more effectively.
Operational Efficiency
Tondo’s integrated approach streamlines the management of streetlight infrastructure. Real-time monitoring and alerts enable quick response to incidents, reducing downtime and improving overall efficiency.
Conclusion
Electricity and wire theft are pressing issues for cities, leading to safety risks and increased costs. Tondo Smart Ltd. offers a robust solution to these challenges through its Cloud IQ deep learning AI, Cabinet IQ energy management controllers, and Edge IQ streetlighting controls. By leveraging advanced technology to detect and prevent theft, Tondo helps cities protect their infrastructure, enhance public safety, and achieve significant cost savings.
Municipalities and utilities across the United States are increasingly confronted with the expensive and disruptive problem of copper wire theft from streetlighting and public infrastructure. Wire theft isn’t merely an economic issue—it undermines public safety,...
For municipalities looking to modernize their streetlighting and build a foundation for smart city initiatives, Tondo's Edge IQ smart roadway lighting controls, managed through Tondo's Cloud IQ platform, offers a compelling solution. This isn't just an upgrade: Smart...
In today's rapidly evolving urban landscape, the need for intelligent, sustainable, and resilient infrastructure is paramount. Tondo's Cabinet IQ emerges as a comprehensive energy management and infrastructure monitoring solution, designed to enhance the...
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The technical storage or access that is used exclusively for statistical purposes.We use anonymous statistics so we know whether our website is serving you well. That's it!
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We only get your personally identifying information if you fill out a form on the site and send it to us.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
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The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
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