Hard Krypton learned that Shuo Orange (Xiamen) Technology Co., LTD. (hereinafter referred to as “Shuo Orange Technology”) announced the completion of a C1 round of financing of tens of millions of yuan, and the investor is Bingfu Capital. This round of financing will mainly be used for technology iteration, sales channel expansion and customer development.

“Shuo Orange Technology” was established in 2016, focusing on providing intelligent manufacturing services such as equipment predictive maintenance and intelligent operation and maintenance through fully sensing intelligent hardware and AI algorithms.

PFCL201CE The company’s Pan Orange ecological product system includes intelligent hardware such as orange box, multidimensional data acquisition station, intelligent voice print sensor, equipment intelligent operation and maintenance system, EAM equipment asset management system, Star Orange cloud intelligent cloud platform and other software. And Orange Ling · machine auscultation master, industrial centralized control intelligent monitoring, production line operation and maintenance intelligent monitoring, Supervisor automation AI quality inspection and other comprehensive solutions.

Equipment predictive maintenance, that is, through sensors, edge computing and AI algorithms, real-time acquisition, processing and analysis of equipment operating status, so as to determine the health trend of equipment and whether there is an anomaly or failure. According to the International Society of Automation, poorly maintained equipment can reduce factory productivity by 5 to 20 percent, costing the world $647 billion annually due to equipment downtime.

As a key part of industrial automation, predictive maintenance can effectively reduce unnecessary losses for enterprises by monitoring equipment health status, detecting and intervening in the early stage of failure, and avoiding major incidents.

Specific to the technical level, “Shuo Orange technology” combines AI technologies such as feature enhancement, neural network, and machine learning to cut into the field of predictive maintenance in a fully perceptual way, using intelligent hardware to collect and analyze noise, vibration, temperature, current, tension and other data.

According to different data dimensions in different scenarios, AI algorithms can be used to process and analyze the corresponding data, and build a digital operation and maintenance platform with high adaptability and wide application scenarios.

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When an anomaly is detected, the equipment intelligent operation and maintenance platform can locate the relevant parts of the equipment on the production line, make a judgment according to the characteristics of the equipment parts, combined with the numerical change, and give the prediction result. When it is confirmed that the equipment or parts have failed, the platform will also make specific repair recommendations to the customer, such as replacement of parts or maintenance with oil.

In terms of business structure, “Shuo Orange Technology” mainly delivers software and hardware integration solutions, of which hardware revenue accounts for 25%, including high-precision sensors, edge computing, industrial gateways, etc. At the same time, it also provides customers with value-added data services, such as data visualization, data analysis, report forecasting analysis, remote monitoring and management, to help enterprises optimize production processes and decisions.

PFCL201CE Fully aware monitoring of equipment in fully automated production lines – deployment reality

“Shuo Orange Technology” CEO Zhuang Yan told hard Krypton, “the current customer needs are concentrated in the following aspects: first, the reduction of large failures; Second, the failure rate is reduced; Third, when the equipment works without disease, the product yield is improved; Fourth, spare parts procurement optimization to reduce inventory pressure; Fifth, reduce and avoid production safety problems. Through the above five dimensions, we can ultimately achieve cost reduction and efficiency increase.”

Hard Krypton learned that from the early deployment to the realization of predictive maintenance for customers, “Shuo Orange Technology” only takes 2-8 weeks to complete the delivery of a full set of solutions, and brings good operation and maintenance results.

Taking Orange Ling machine auscultation Master as an example, the product has helped an enterprise reduce the frequency of important equipment failure from 8 times a year to 4 times, avoiding the loss caused by unplanned downtime; At the same time, the equipment has maintained a healthy state for a long time, which has also helped the company’s yield increase to a certain extent.

Since its commercialization, “Shuo Orange Technology” has focused on iron and steel metallurgy, petrochemical, new energy, food and beverage and other fields, and has served Baowu Group, MCC CCID, State Power Investment, Sinopec, Procter & Gamble Group, Budweiser beer and other large domestic and foreign well-known enterprises. The company expects revenue to exceed 200 million yuan this year, with a net profit of tens of millions of yuan.