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关于labview
我想把太阳能板电压那里的数据传到下面乘号那里,出现了这样的错误应该怎样解决?[img]data:image/png;base64,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**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***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[/img]错误清单上的details为:The Case or Event structure does not have anything wired to the output tunnel in one or more cases. Since only one frame of the structure is executed, every frame must assign values to all the outputs. Right-click the tunnel and select Use Default If Unwired to relax this requirement.
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