IDIoT List of Products and Services

The signal tower attached to the packed rice manufacturing machine detects its status and calculates the operational state and operating rate. In manufacturing sites, if there is a standard signal tower, the equipment status can be easily digitized regardless of the old or new model. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the lighting status of the signal tower and converts it into operational state per minute. - Since the lighting status of the signal tower is converted into operational state data, it is an easy-to-understand system. - Stable data collection is possible even in factories with many metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operational state data. - Allows you to know the status of the press machine located far from the office. - Digitized even old press machines without communication functions. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for the packed rice manufacturing machine and can be easily applied to equipment with installed signal towers.

The operating data is obtained from the PLC installed in the rice packing machine to calculate the operating status. If the equipment is relatively new, it is easy to access the memory within the installed PLC to obtain the equipment status. ◆ Applicable Product - Information Gateway ◆◆ Features - Accesses the memory within the PLC to retrieve data and converts it into operating status by the minute. - If there is data indicating operating status and operating rate within the PLC, it can be easily obtained. - Data is obtained via a wired LAN within the factory, ensuring stable operation. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operating status data. - Allows you to know the status of the press machine located far from the office. - Can retrieve data other than operating status and operating rate from the vast amount of data present in the PLC. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for the rice packing machine and can be easily applied to equipment with installed PLCs.

Detects the movement of molds in metal parts forming press machines and calculates the operating status. Sensors were installed on old press machines to digitize them. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the up and down movement of the mold and converts it into shots per minute (SPM). - Since it counts the up and down movement of the mold, it is an easy-to-understand system. - Detects the presence or absence of metal part materials, distinguishing between stops due to material shortages and abnormal stops. - Stable data collection is possible even in factories with a high presence of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operating status data. - Allows you to know the condition of press machines located far from the office. - Digitized even old press machines that lack communication functions. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for press machines using molds, and it can be applied to equipment with periodic motion components.

The system detects the status of the signal tower installed on the metal parts forming press machine and calculates the operating status and operating rate. A sensor has been attached to the standard signal tower found in manufacturing sites to digitize the lighting status. ◆ Applicable Product - Ideal IoT System ◆◆ Features - It detects the lighting status of the signal tower and converts it into operating status per minute. - Since it converts the lighting status of the signal tower into operating status data, it is an easy-to-understand system. - Stable data collection is possible even in factories with a lot of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - It automatically records and visualizes operating status data. - You can know the status of the press machine in the factory located far from the office. - Even old press machines without communication functions have been digitized. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for a punching press machine and can be easily applied to equipment where a signal tower is installed.

In addition to detecting the signal tower status of injection molding machines, the status of peripheral equipment such as worksite lights is also acquired. All data indicating the behavior of operators is sensed to comprehensively calculate the operational status. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the lighting status of the signal tower and worksite lights and converts it into operational status by the minute. - Digitizes all movements (light, rotation, movement, etc.) occurring around production equipment using multiple sensors to comprehensively calculate operational status and operational rates. - Stable data collection is possible even in factories with many metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operational status data. - Allows you to know the status of the press machine in a factory located away from the office. - Digitizes all data related to production activities using diverse sensing technologies. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

The productivity of equipment can be determined in various ways. Machines consist of many parts and moving components, so their operational status is reflected everywhere. In other words, the determination of whether they are "operating" can be made from any of these aspects. In this example, we focus on the fact that a large current flows when the equipment is "operating" to make this determination. ◆ Applicable Products - Ideal IoT System ◆◆ Features - It monitors the fluctuations of relatively large currents in equipment to determine operational status. - It can be applied to any equipment that operates by receiving power. - Stable data collection is possible even in factories with many metal objects, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs and determination results are displayed. ◆◆◆ Effects - It can be easily attached to electrical wires. - By using the electrical wires aggregated in control boxes, it is easy to measure the current at multiple locations. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

The moist snow coming across the Sea of Japan is a concern for Niigata. We proposed a solution for the life work of the chairman of the construction company, who is our customer. By collaborating with a construction method that concentrates the load of the entire roof onto a single point, we have realized a simple system that allows us to understand the snow accumulation condition on the roof with just one measurement and determine the necessity of snow removal work. ◆ Applicable Product - Ideal IoT System ◆◆ Features - Achieves simple sensing in collaboration with a construction method that concentrates the load of the entire roof onto a single point. - Data collection and determination of multiple buildings scattered over a wide area are possible via LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, with graphs and determination results displayed. ◆◆◆ Effects - Automatically records operational state data and visualizes it. - Not only can it determine the necessity of snow removal work, but it also allows you to know the "snow removal resistance" level (percentage display). - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

To visualize scents, we have broken them down into multiple elements. The area concerning "odors" lacks established basic units or fundamental elements. By mimicking human olfaction, we attempted to visualize a variety of odors using a combination of multiple odor sensors through various methods. ◆ Applicable Products - Ideal IoT System ◆◆ Features - We perform complex judgments by combining multiple odor (gas) sensors. - We are working on sensing and datafication of the ambiguous subject of "odor." - Stable data collection is possible even in factories with a lot of metal objects, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, with graphs and judgment results displayed. ◆◆◆ Effects - We propose solutions even for objects that are difficult to quantify. - We quantify the ambiguous concept of odor using relatively easy methods. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

This is a typical case in mass production factories. The manufactured food packs are transported on a conveyor and move on to the next process one after another. There are instances where stockouts occur due to defects, and it is desirable to monitor production volume everywhere. A simple counting system has been realized through non-contact sensing. ◆ Applicable Product - Ideal IoT System ◆◆ Features - Non-contact sensing makes it less likely to experience failures or issues. - Sensors can be retrofitted, allowing detection at any manufacturing location. - Stable data collection is possible even in factories with a lot of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, displaying graphs and judgment results. ◆◆◆ Effects - Automatically records and visualizes production numbers. - Detects the presence or absence of pallets using similar sensing, allowing for the determination of completion of shipping tasks. - By comparing production numbers from multiple locations, it becomes possible to visualize the achievements and issues of specific manufacturing sites. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.

The Chūetsu region of Niigata Prefecture is a production area for ornamental koi. The main cause of death for weak fry is a lack of oxygen. When the water temperature rises, the oxygen in the water evaporates, leading to a decrease in oxygen concentration. This simple principle has been visualized. This can also be considered a smart agriculture tool. ◆ Applicable Product - Ideal IoT System ◆◆ Features - It uses an inexpensive and easily measurable dissolved oxygen concentration sensor. - Stable data collection is possible even from koi ponds installed over a wide area outdoors, thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs and judgment results are displayed. ◆◆◆ Effects - It allows for understanding and visualization of the growth environment for koi in the pond. - It leverages the characteristics of LoRaWAN, which excels in wide-area communication. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy.