Proposal to secondary battery manufacturers: Prevent raw material loss from dust collectors!
Issue At a certain manufacturer's factory, due to installation errors and deterioration after the replacement of filter cloths in dust collectors, over 9 tons of raw materials were leaking from all the dust collectors every month without being recovered. This resulted in a loss of approximately 27 million yen per month for the company, and there is also the issue of air pollution. Just thinking about how much sales would be needed to generate such profits is a waste, isn't it? Therefore, the installation of dust monitors to continuously monitor the leakage amount was required.
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basic information
The dust monitor serves as a relative concentration meter. It is recommended for continuous dust measurement due to its high correlation (correlation coefficient of 0.969) with manual analysis as defined in JIS B Product Page 7996 (established on January 22, 2018).
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Applications/Examples of results
● Dust generation in the raw material yard ● Dust generation during conveyor transfer ● Working environment in the factory ● Dust generation during bagging operations ● Dust generation during loading onto trucks ● Dust generation at construction and demolition sites etc.
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Company information
Matsushima Majatech Co., Ltd. has been continuously challenging itself to realize the visualization of the workplace using unique measurement technology under the corporate philosophy that "there are limits in reality, but possibilities are infinite" since its founding in 1946. The sensing technology we provide is designed to improve productivity and reduce labor in our customers' workplaces, essentially aiming to "minimize human intervention in harsh environments." At the same time, we strive to ensure that our interactions regarding the products we offer are characterized by "a firm yet compassionate and kind approach." We aim to be a company that provides a sense of security and safety, becoming the "First Call Company" that clients can consult with.
![[Case Study] Predictive Detection of Filter Replacement Using Dust Monitors](https://image.mono.ipros.com/public/product/image/a49/2000649181/IPROS48525484565375016132.png?w=280&h=280)
