コネクシオ List of Products and Services

In the tech blog, we introduce useful technical information and what can be done using CONEXIO products. The CONEXIO BlackBear comes in an indoor set and a vehicle set. We often receive the question, "What is the difference between these two types of sets?" The main unit is exactly the same, and the difference lies only in the included items. Each set comes with accessories tailored to its intended use, such as cables and antennas. In this blog, we will explain the included items for each set once again. *You can view the detailed content of the blog through the related links. For more information, please feel free to contact us.*

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We would like to introduce a case study of our IoT solution. The company manufactures special vehicles and faced the challenge of needing to rush to the customer's site for maintenance when a product malfunctioned. Therefore, they worked on remote fault diagnosis using IoT and preventive maintenance to detect signs of potential failures. 【Before Implementation (Challenges)】 - They were considering a system that could accommodate and operate multiple smart meters (power monitors) and charging outlets using RS485 bus connections. - They were looking for a gateway for a controller system suitable for properties that would operate multiple electric vehicle charging outlets. 【After Implementation (Effects)】 - By adopting CONEXIO BlackBear for the controller system, they were able to support various communications including LTE, RS-485, and wired LAN/WiFi with a single gateway. - The network could be expanded, and by using an extended antenna, it became usable even in poor radio environments. For more details, please visit the service site’s case study page.

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【Rich Interfaces】 A design that enhances the basic functions as an IoT gateway. It supports wired connections such as Serial/DI/DO/CAN1/2/Ethernet/USB, and wireless connections including LTE/Wi-Fi/Bluetooth/GPS, allowing for connectivity with various devices and sensors. Additionally, options like LPWA, Wi-SUN, and EnOcean can be added. It is possible to develop and mount sensor manufacturer options such as LPWA, Wi-SUN, and EnOcean on the standard expansion base board. <Please check the case studies from the PDF download!> - Predictive detection of equipment failures in factories - Power usage control through a demand controller monitoring system - Remote monitoring of heavy machinery operation status - Remote monitoring of special vehicles

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【AI Processing on the Device - High-Performance Specifications Capable of Edge AI】 Inference execution of the learning model created in the cloud will be performed on the CONEXIOBlackBear. Data collected on-site will be judged by the edge AI within the gateway, enabling image recognition, predictive maintenance, and real-time detection using AI. - Equipped with a high-performance quad-core CPU and GPU to enhance computational performance - Planned support for machine learning model integration Inference execution on the device with built-in high-end CPU/GPU SoC By performing AI processing on the device without going through the internet, we achieve reduced security risks, increased real-time capabilities, and decreased communication costs! <Please check the case studies from the PDF download!> - Detection of signs of equipment failure in factories - Power usage control through a demand controller monitoring system - Remote monitoring of heavy machinery operation status - Remote monitoring of special vehicles

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【Robustness Suitable for In-Vehicle Use】 It has shock and vibration resistance performance designed for use in vehicles and construction sites. It comes standard with two CAN I/F systems, allowing for the acquisition of CAN data from multiple systems, such as the engine system and control system. It is also characterized by excellent environmental resistance. - Vibration resistance: 2.8G, Shock resistance*: 50G - Operating temperature: -20℃ to 70℃ - Power supply voltage: 9 to 32V Stable operation even with automotive batteries *ISO16750-3 Road vehicles - Environmental conditions and testing for electrical and electronic equipment - Part 3: Mechanical Loads <Please check the case studies from the PDF download!> - Detection of precursors to equipment failure in factories - Power usage control through demand controller monitoring systems - Remote monitoring of heavy machinery operating conditions - Remote monitoring of special vehicles

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In the event of a communication failure, a single SIM card can connect to multiple different mobile communication lines. By utilizing the "TRIBE-biz Mobile Type MPS" SIM in the IoT gateway "CONEXIOBlackBear," which has a dedicated program written for it, automatic input of AT commands allows for continued communication using other carrier networks (roaming) during a communication failure.

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We would like to introduce a case study of our IoT solution utilized by a customer manufacturing sensors for FA (Factory Automation) equipment. The practical implementation of IoT systems requires various preparations beyond just building the system. In this case study, we will showcase how we supported the customer in efficiently managing the complex tasks of server and network setup as they transitioned their products to a service-oriented model, through a comprehensive proposal and billing for related services by Conexio. For details including configuration diagrams and other case studies, please refer to the downloadable materials. 【Before Implementation (Challenges)】 - Individually procuring servers and setting up network lines is cumbersome. - Customization of gateways is necessary for IoT enabling products. 【After Implementation (Effects)】 - Increased sales due to the acquisition of regular maintenance demands. - Improved customer satisfaction through minimized downtime.

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We would like to introduce a case study of our IoT solution utilized in the manufacturing equipment manufacturing industry. One of the biggest challenges for manufacturers is the "reduction of lead time for recovery and resumption of operations" when failures or defects occur at the delivery site. To address this, we adopted our all-in-one package "Smart Ready IoT." This case demonstrates the realization of preventive maintenance by installing sensors on equipment to regularly collect and visualize information. For details including diagrams and other case studies, please refer to the downloadable materials. [Before Implementation (Challenges)] - Streamlining the response to product failures and maintenance - Understanding the utilization status of production equipment after delivery - Preventing customer opportunity losses [After Implementation (Effects)] - Establishing a preventive maintenance system using IoT - Creating a service that proposes inspections to customers to "eliminate downtime"

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We would like to introduce a case study of our IoT solution utilized at Mipox Corporation. As a global niche leader in the "polishing" field, the company responds to various customer needs and is conducting demonstration experiments aimed at predicting failures in manufacturing machines (such as slitters) to reduce line stoppages and defective product costs. For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 006." 【Before Implementation (Challenges)】 - We want to perform maintenance before product defects occur. - We want to reduce line downtime. - We want to reduce defective product costs. 【After Implementation (Effects)】 - Predictive maintenance is possible by monitoring the operational status of machines with multiple sensors. - Data is accumulated in the cloud, enabling visualization and analysis of information.

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We would like to introduce a case study of utilization at Keiyo Kogyo Co., Ltd. The company focuses on the collection, transportation, and disposal of industrial and general waste, and its Shinsuna Division operates two intermediate processing facilities within Koto Ward. Aiming for further stable operation of wastewater treatment plant facilities that cannot be stopped 24/7, the company has conducted a Proof of Concept (PoC) for an IoT solution in collaboration with Connexio. Through the visualization and accumulation of continuous data, they have gained a solid sense of progress towards achieving comprehensive predictive maintenance in the future. For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 001." 【Before Implementation (Challenges)】 - Focused on the effectiveness of predictive maintenance for a wastewater treatment plant that cannot be stopped 24/7. - Aiming to reduce the workload of emergency responses due to sudden failures. - Wanting to standardize the perception and recognition accuracy of patrol inspections, which varies by individual. 【After Implementation (Effects)】 - Expecting to achieve comprehensive understanding of conditions that are difficult to monitor through human observation due to the visualization of continuous data. - Ability to check the operational status of pumps remotely, allowing for understanding of operational rates and changes in conditions over time. - The insulation resistance values of underwater pumps, which cannot be visually confirmed during patrol inspections, are useful for predictive maintenance.

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We would like to introduce a case study of our IoT solution utilized at Todan Construction Co., Ltd. CO₂ Emission Visualization System "CO₂MPAS" Todan Construction Co., Ltd., a major general contractor, aims to establish its brand as an environmentally advanced company. As part of this initiative, we contributed to the renewal development of "CO₂MPAS," which visualizes CO₂ emissions from buildings and supports carbon neutrality, through joint development. For details including diagrams and other examples, please refer to the downloadable materials. [Before Implementation (Challenges)] - Desire to understand customer energy data for energy-saving proposals and energy management - Urgent need to establish a data utilization foundation to connect to carbon neutrality - Aim for smooth expansion of services in the future [After Implementation (Effects)] - Rapid and easy horizontal deployment to designed and constructed buildings through the use of our IoT solution set - CO₂ levels displayed on signage in a date graph format - Energy-saving diagnostics achieved through energy analysis graphs and reports

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We would like to introduce a case study of our IoT solution utilized at Kakusokukei Co., Ltd. ~ Achieving low-cost remote monitoring through wireless communication ~ Infrastructures, particularly fixed communication lines, can take time to recover during disasters. In this case study, we will present how we differentiated our product from competitors by implementing disaster measures for the system through wireless communication lines. For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 008." 【Before Implementation (Challenges)】 - We want to differentiate ourselves from competitors during remote monitoring system bidding. - Recovery of infrastructure takes time during disasters. 【After Implementation (Effects)】 - Transitioning communication infrastructure to mobile lines that recover quickly during disasters. - Reducing the cost of communication lines.

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We would like to introduce a case study of our IoT solution utilized at YDK Technologies Co., Ltd. ~ A solution for monitoring water level information to detect the risks of river flooding and overflow ~ In the context of climate change and an aging population, it is essential to prepare for disasters and establish appropriate evacuation systems in emergencies. YDK Technologies Co., Ltd. has installed this solution at over 1,000 locations, contributing to the improvement of disaster prevention measures in local governments. For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 007." [Before Implementation (Challenges)] - Increase and intensification of water damage due to heavy rain - Establishment of a rapid evacuation system [After Implementation (Effects)] - Visualization of river conditions - Securing essential information needed for disaster prevention measures

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We would like to introduce a case study of our IoT solution utilized at Nichiko Co., Ltd. The company, which operates a plant, was looking to automatically collect and utilize data from the machinery within the plant to improve operational efficiency and quality. In this case study, we will present an example of how we achieved data utilization in the plant using the Conexio IoT gateway and Salesforce's "Sales Cloud," and built a new maintenance service. Please refer to "IoT Solution Implementation Case No. 005" in the downloadable materials. 【Before Implementation (Challenges)】 - Insufficient data from manual plant management - Desire to improve operational efficiency - Interest in subscription-based maintenance services 【After Implementation (Effects)】 - Achieved efficient plant operations through data utilization - Improved customer satisfaction with "proactive maintenance" - Established a new subscription-based service

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We would like to introduce a case study of our IoT solution utilized at Sanix Co., Ltd. The company had a need to provide remote monitoring services for solar power generation equipment at high quality and low cost. In this case study, we will present a case where we customized our IoT gateway according to the customer's wishes and supported the development of the service. For details such as configuration diagrams, please refer to the downloadable materials and look for "IoT Solution Implementation Case No. 004." [Before Implementation (Challenges)] - Early detection of abnormalities in solar power generation equipment that could lead to lost opportunities - Desire to provide services at a lower cost [After Implementation (Effects)] - Achieved desired services while keeping costs down - High performance and mass production - Improved service quality

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We would like to introduce a case study of our IoT solution utilized at Kyokuto Development Co., Ltd. The company manufactures special vehicles and faced the challenge of needing to rush to customer sites for maintenance when product failures occurred. Therefore, they worked on remote fault diagnosis using IoT and preventive maintenance to detect signs of potential failures. 【Before Implementation (Challenges)】 - On-site response required to identify the cause of failures - Desire to implement measures before failures occur through preventive maintenance. 【After Implementation (Effects)】 - Remote identification of failure causes - Improvement of maintenance services For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 003."

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We would like to introduce a case study of our IoT solution utilized at Furukawa Rock Drill Co., Ltd. The company operates a global business in the manufacturing and sales of civil engineering machinery, and by using our IoT solution, they have created a new stock-type business model that continuously provides after-sales support by acquiring operational data of products both domestically and internationally after sales. 【Before Implementation (Challenges)】 - Unable to grasp the operational status of machines used overseas - Want to acquire operational and operational data for maintenance support - Want to provide optimal improvement proposals and respond to failures based on usage conditions - Want to establish a new business model utilizing IoT 【After Implementation (Effects)】 - Achieved acquisition of machine operational and operational data - Based on data, new proposals and machine operation guidance have become possible - Rapid repair response has been realized even in the event of sudden failures - Started offering a subscription-based warranty program For details such as configuration diagrams, please refer to "IoT Solution Case Study No. 002" in the downloaded materials.

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A collection of numerous IoT implementation case studies related to the IoT transformation on-site is published. We provide detailed introductions to each customer's challenges and their solutions. <Published Cases> ■ Predictive maintenance through early detection of equipment failures in factories ■ Power usage control via demand controller monitoring systems ■ Remote monitoring of construction machinery operating status ■ Notification of lifting weight limits for construction machinery ■ Remote monitoring of special vehicles *For more details, please refer to the PDF document or feel free to contact us.

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