Using data from furniture to understand office space

Using data from furniture to understand office space


Starting from the spatial data analysis of the conference room on a certain project floor, based on real practical cases, the VIA smart furniture project backend intelligent management system shared the interesting phenomenon presented by the backend spatial data management of the conference room of the project: "From 8 am to 6 pm, the 5 conference rooms on this floor are occupied all day. But when the conference room occupancy is transferred from the frequency of use to when and how many people use it, it is found that the 12-person conference room with the highest frequency of use is used by 9 people during the two peak hours in the morning and evening, and only by 3 people in the afternoon." On the surface, the utilization rate of the conference room is as high as 70%, but through data insights, statistics on utilization rate, waste rate, usage details, and accounting costs From the perspective of daily management, statistics on mobile device borrowing and conference service statistics, the actual utilization rate of the conference room is only 30%. In this scenario, the utilization rate is not equal to the utilization rate.

"In another sales office with 6 workstations, we found that 5 of them were only used half a day, and were idle the other half. When we divided the usage time of these 6 workstations into segments and only used 3 workstations respectively, we unexpectedly found that we could still schedule them."

These workstation data tell us that there is waste of workstations, and this problem may be solved by setting up mobile workstations.

These interesting phenomena are based on the space analysis service of the smart office system, which is based on the space analysis service of the smart office system. Through the space data collected by smart desks and smart conference tables in the office space, we can find the inherent relationship, trend and law of the data through analysis, and finally provide administrative personnel with decision-making basis such as whether there should be mobile workstations, the configuration ratio of mobile workstations, and the reservation rules of conference rooms. The workstation scene is the hardware facility with the highest value, the highest coverage, and the most frequent use in the office space. The management of workstations greatly affects the management of office space. Realizing data-driven office space is the standard AIoT idea, and full scene and accurate data collection are the key to space decision-making. A simple software solution cannot effectively solve the problem of space management. The integrated hardware and software smart furniture solution is a system solution for space management, workstation management, and data health office.


Of course, data collection will lead to data and privacy issues; now all kinds of smart products have a large number of built-in sensors for various data collection. The data collected in the office space involves the privacy of employees in the public space. We have done a lot of research on the existing data collection methods on the market. We found that the existing spatial data collection methods all have different disadvantages. For example: the manual collection method has a small sample size, cannot be carried out for a long time, and will affect the normal work of employees; although the camera can improve the collection efficiency, it involves employee privacy issues; although ordinary sensors do not disturb the office, a single sensor cannot adapt to all office scenarios.

The changes in the future are already imaginable. But the current IoT opportunities are not in technology companies, but in traditional manufacturing. Data supervision, finance, transportation, personal information, enterprises, government departments, zero supervision of home furniture data, anyone needs to use home furniture products, use big data to analyze the collected data, analyze a person's movement trajectory, behavioral habits, work and life habits, such as smart furniture in the office, what time a person sits down to start work, what time period is he working, whether there is anyone sitting on the guest sofa, how long he sits, what time period has guests come, the coffee table collects information to determine whether the guests have made tea, and the same company's products are used in multiple places. The correlation between a person's movement trajectory and his behavioral events is analyzed in a nearby space and time. VIA smart furniture products have built-in sensors that can collect various types of differentiated data. The data collected in a single dimension can avoid the occurrence of privacy and security issues caused by the abuse of data information such as video and face recognition image collection. The collected data generated by smart furniture products can be used to analyze the relationship between people and space, the correlation between products and space, and the humanization between people and products.


In recent years, with the development of artificial intelligence and Internet technology, it has rapidly penetrated into all walks of life. The development of the office furniture industry naturally follows the trend. Now there are many intelligent office furniture products launched, opening the era of intelligent office furniture. Functions such as automatic return, mobile phone control, automatic adjustment, and furniture health data analysis have gradually been developed. Especially for office furniture based on "ergonomics", the "people-desk-chair-environment" in the office system is taken as the overall consideration object, giving full play to the maximum human freedom and preventing occupational diseases to the greatest extent. Ergonomic office furniture will become the mainstream of consumption.

People-oriented, all technology research and development must be centered on people, how to use technology to help people achieve healthy and efficient office work, and help enterprises reduce costs and increase efficiency. Therefore, in the office environment, people's physical and mental health is for people's working environment, because they are in the working environment for eight hours. For example, to create an environment, the social pressure is relatively high now. If there is such a space, we say that you can release some of your pressure in this space or something, which is equivalent to healing. Everyone will feel more experienced, not just a product or a wisdom. What does wisdom itself bring? Literally speaking, it is not a simple understanding, but it is combined with our user needs. User needs are related to productivity and experience. In the first half of the Internet, everyone was focusing on building platforms and integrating data. In the second half, how to connect and connect vertical and cross-domain data to trigger new scenarios and empower the furniture industry again.


In the use of office scenes, the workstation quickly senses the approach of people through sensors, and begins to record the standing and sitting status of people in the office in real time and objectively, and uploads it to the software through AIoT connection to form a personal data report. People can understand their office behavior habits based on the data report, and the workstation can help people develop healthy office behavior habits through active guidance and height adjustment.

For example: the workstation management system data in the smart furniture system can improve management efficiency, the furniture health data platform data can analyze health conditions, the workstation utilization rate analysis system can improve employee experience, the user behavior guidance system can improve asset efficiency, and the product function control system can automatically complete the use of product functions.

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