- Development background
In recent years, the declining birthrate and aging population are affecting the energy industry and social infrastructure.
Electricity smart meters are rapidly becoming popular because they have a power source, but gas and water meters have not made much smarter progress.
As a result, various problems are being highlighted.
“Insufficient manpower due to aging of meter readers, privatization of water supply business that is not profitable, frequent meter reading errors, poor meter reading efficiency in remote areas and snow areas, poor delivery efficiency due to unknown amount of LP gas, It is also difficult to secure delivery staff, but it is also necessary to make gas and water meters smarter, but various costs for each meter replacement, the legal replacement time, the risk of communication problems after replacement, etc. We have to clear various challenges.
- Make existing meters smart 「eMeter」
Easy installation on existing gas and water meters.
Take a picture of the meter using a high-precision camera (LED light built-in). With the latest NB IoT communication, the captured image is sent to the AIS Cloud server. Images are recognizable and data analyzed by AI technology, and you can check the digitized information.
You can check the captured image at any time.※eMeter Patent applied
１．Can be installed on existing meters without the need to stop water and gas
２．LPWA (NB IoT) communication covers nationwide area
３．Battery operated for a long time
４．Image analysis with AI technology continuously improves accuracy
５．Supports various meters such as gas, water, electricity, barometer of factory
- Mounting method
Just add "eMeter" to the existing meter.
Can be retrofitted to existing meters without stopping gas and water. Installation time is around 30 seconds, and it takes about 5 minutes to complete the setting including communication.
The gas meter can be easily installed by simply adhering it with double-sided tape and fixing it with a wire. The water meter is easily installed by attaching the attachment and fixing the main body.
The meter section can be visually confirmed even after installation.
- LPWA (NB IoT) communication
Uses the latest communication method NB IoT provided by mobile phone carriers.
Communication at low price and low power consumption is possible. By utilizing the existing mobile phone base station network, we can provide stable communication by covering the nationwide area.
For example, you can communicate even inside an iron door. Commercial service has been started by SoftBank.
Since the captured image is sent, not only the guideline value but also the captured image can be confirmed on the Web.
- Battery powered
By using the low power consumption NB IoT communication, it can be used for a long time on a battery.
Use once per day for 5 years. Use once a month for 10 years.
* Varies depending on the installation environment. The communication interval can be changed as required.
- Image analysis
Original correction function + AI technology = Almost 100% recognition rate achieved. The LED light is turned on every time assuming use in the dark.
- Compatible meter products
Various types of meters such as gas, water, electricity, and barometer can be handled by changing the mold. Currently, we are planning to launch the eMeter, which is compatible with the most popular meter models.
- How to check the meter reading results
Confirmation from Web browser (Use dedicated ID and password) You can download CSV data.
In addition, since server-to-server cooperation is possible, paperless payment is possible in cooperation with various billing systems.
- Target Price
・Main body around 10,000 yen
・Communication fee, system usage fee It depends on the number of installed units. Please contact us.
- eMeter Performance
Data utilization problem solving support
- Service overview
With the development of the information society (Society4.0), many IT systems have been introduced into companies and organizations, and "various information / data" have been accumulated.
In addition, there are many open data published by big data such as SNS, IoT, robot data, and government.
In the coming era, cross-sectional and effective utilization of these data will be required to solve corporate management issues, local government administration issues, and business evaluation.
We will work with our customers to find the true cause of the problem, and then we will set out the problem and examine the solution. Then, we will visualize the problems, select and collect the data necessary for problem solving, and create a model of strategic data utilization for problem solving from the data analysis results.
By evaluating the created model, we will continue to make improvements and support our customers' growth.
- Service details
For purposeful data analysis, it is necessary to collect the appropriate data required for analysis.
Careful selection and collection of data is important because analysis with inadequate data not only produces the desired results, but also increases the risk of incorrect decisions.
For that purpose, we will collect data such as IoT and robots, third-party data such as SNS and open data centering on various data accumulated in the organization, and verify with the customer whether analysis results can be obtained according to the purpose I will do it together.
After confirming the analytical data, by performing multi-dimensional analysis, it will be possible to realize visualization (BI: Business Intelligence) and strategically utilize analysis results (BA: Business Analysis).
Our company proposes according to the situation of the customer from the collection of data necessary for analysis to the analysis and utilization.
- Service application example
■ Business / measure / event evaluation
We utilize various data in addition to KPIs to evaluate results in a multifaceted and objective way. Also, clarify the improvement items and reflect them in the next action.
■ Reputation analysis
Utilizing big data such as SNS, we analyze the reputation of products, events, and measures, and clarify improvement points based on critical opinions.
■ Risk reduction
Risk can be prevented by analyzing the data in the organization in time series and identifying the change points and their factors.