Thursday, December 20, 2018

Intelligent Cleaning Trend


With the continuous improvement of China's service industry, China's cleaning industry is expected to further increase over the next four-year compound growth rate can be 9.6%, which means that China's commercial clean market will reach 48.82 billion RMB in 2021. At present, the age structure of cleaners presents an “inverted triangle” from top to bottom. The population aged 50-60 years is the main force in the cleaning industry, and will gradually reach retirement age in the next few years. However, the younger generation is rarely willing to engage in the cleaning industry, which means that the cleaning service company may face the pressure of labor and high labor costs in the future. For this kind of dilemma, intelligent cleaning is a good solution. It can not only help cleaners to complete high-intensity mechanized cleaning work, but also connect with the background through the Internet of Things to improve the intelligent management capabilities of enterprises.

What is intelligent cleaning? Intelligent cleaning is based on traditional cleaning technology, supplemented by artificial intelligence technology, so as to improve cleaning efficiency and reduce labor costs. For example, a property company needs to arrange 10 people to operate 10 machines to complete the cleaning task. With an intelligent automatic cleaning robot, it may only need 1 person to manage 10 machines to complete the task. Although the equipment procurement cost is improved, the labor cost required for the equipment life cycle has decreased, and the overall work efficiency has also increased accordingly. This solves the contradiction between efficiency and cost, and redefines the nature of the work of the “cleaner” position. The cleaners have changed from simple laborers to labor managers, which is helpful for reversing the prejudice of the society to the cleaners.

However, many cleaners have a lot of problems when they face the new thing of smart cleaning: most of our front-line cleaners haven’t received tertiary education, is it hard to train cleaners? If the fault occurs, is it difficult to repair? In fact, there is no need to worry about these issues. In general, cleaning personnel only need to supervise the cleaning process and effects, and there are fewer operational processes and steps. The training burden is almost non-existent. As for maintenance, there are two aspects to the maintenance of intelligent cleaning equipment: on the one hand, the maintenance of the system software, and on the other hand, the maintenance of the mechanical and system hardware. In terms of system software maintenance, the device provider will judge the software status of the smart cleaning device through the remote background. If there is a program error in the software, they will remotely fix the program and upgrade the device software. If there is a problem with the device hardware, the device provider will usually be notified to come to the door for repair or replacement.

Although it is premature to talk about how the intelligent cleaning model will overturn the existing cleaning industry, the future implementation of smart cleaning technology in the commercial cleaning sector may be more imminent than anyone else have hoped. At present, many companies have developed and manufactured mature intelligent cleaning equipment, including Intellibot and Brain in the United States, Avidbot in Canada, DDROBO in China, Cleanfix in Switzerland and so on.

Just as the increasingly heavy wheat harvesting in history has prompted the combine harvester to replace the wheat reaper and the thresh grain, in order to further improve service quality and efficiency of the cleaning industry, stable and effective intelligent cleaning solutions will become the inevitable trend.

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