US 12,225,160 B2
Method for smart gas personalized feedback service and internet of things (IoT) system thereof
Zehua Shao, Chengdu (CN); Haitang Xiang, Chengdu (CN); and Junyan Zhou, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Oct. 30, 2023, as Appl. No. 18/496,976.
Application 18/496,976 is a continuation of application No. 18/301,250, filed on Apr. 16, 2023, granted, now 11,870,937.
Claims priority of application No. 202310220626.2 (CN), filed on Mar. 9, 2023.
Prior Publication US 2024/0056527 A1, Feb. 15, 2024
Int. Cl. H04M 3/523 (2006.01); G06Q 50/06 (2012.01); H04M 3/22 (2006.01)
CPC H04M 3/5233 (2013.01) [G06Q 50/06 (2013.01); H04M 3/2218 (2013.01); H04M 2203/408 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for smart gas personalized feedback service, wherein the method is implemented based on a smart gas management platform, the method comprising:
receiving a call message of a target customer through a call center, and a content of the call message being related to a gas business;
determining a service category corresponding to the call message based on the call message, and determining a feedback mode of the target customer based on the service category;
in response to the feedback mode being manual feedback, determining a target operator through the call center to feed back a call of the target customer; and
in response to the feedback mode being automatic feedback, determining, using a knowledge map, a feedback content through the call center based on the service category corresponding to the call message, and sending the feedback content to the target customer; wherein nodes of the knowledge map include at least one of a customer, a service category, a feedback content, or an area, and a node feature includes a real-time pipeline network situation in a position area of the customer; edges of the knowledge map include an edge between the customer and the service category, an edge between the service category and the feedback content, an edge between the customer and the feedback content, or an edge between the customer and the area.