机智云新人 发表于 2024-4-27 22:36:37

MCU2WiFi数据每次都需要二次发送,才能成功

其它功能均正常,但数据刷新明显出现问题,耗时极为严重。经查验,每次MCU2WiFi发送数据,第一次都会失败,但同样的数据自动第二次发送能成功,每次这种数据耗时2.6s左右,产生极大延迟。data:image/png;base64,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请教大佬应该如何修改,又或者如何自动减小第二次与第一次发送的间隔时间,不至于耗时这么夸张

机智云新人 发表于 2024-4-27 22:38:27

C:\Users\10568\Desktop\QQ图片20240427223729.png

机智云新人 发表于 2024-4-28 11:11:49

C:\Users\10568\Desktop

冯俊波 发表于 2024-5-9 18:03:08

采用定时器
页: [1]
查看完整版本: MCU2WiFi数据每次都需要二次发送,才能成功