关于LUA脚本mb_read_reg_03(slave,addr,quantity)API函数返回的问题
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JuIZzPzQ/tIACBxyOAKH68nDxIRP7rxvxVuH4trttPM0nIxKbxz7a7r2G/Iz2n2aYVykeIte9v+Rr8aXLe92F5JAr/lThaXv0YJ6OoP1cQh5C11i657jG6e10Ug/twVdPlgfDJa+M6WFwFgV0QQBTvIs3XdHIwYcyEYzi+mkyucX+za3TyPyH0Q79uIopT54q4bLjqhPs4sTbpKOJgL+Kp6f0P3dFa20te3Rh3Ygwrr06caPdDC4RuQWAXBBDFu0gznYQABCAAAQhAAAIQWBFAFK/ocA4CEIAABCAAAQhAYBcEEMW7SDOdhAAEIAABCEAAAhBYEUAUr+hwDgIQgAAEIAABCEBgFwQQxbtIM52EAAQgAAEIQAACEFgRQBSv6HAOAhCAAAQgAAEIQGAXBBDFu0gznYQABCAAAQhAAAIQWBFAFK/ocA4CEIAABCAAAQhAYBcEEMW7SDOdhAAEIAABCEAAAhBYEUAUr+hwDgIQgAAEIAABCEBgFwQQxbtIM52EAAQgAAEIQAACEFgRQBSv6HAOAhCAAAQgAAEIQGAXBBDFu0gznYQABCAAAQhAAAIQWBFAFK/ocA4CEIAABCAAAQhAYBcEEMW7SDOdhAAEIAABCEAAAhBYEUAUr+hwDgIQgAAEIAABCEBgFwQQxbtIM52EAAQgAAEIQAACEFgRQBSv6HAOAhCAAAQgAAEIQGAXBBDFu0gznYQABCAAAQhAAAIQWBFAFK/ocA4CEIAABCAAAQhAYBcEEMW7SDOdhAAEIAABCEAAAhBYEUAUr+hwDgIQgAAEIAABCEBgFwQQxbtIM52EAAQgAAEIQAACEFgRQBSv6HAOAhCAAAQgAAEIQGAXBBDFu0gznYQABCAAAQhAAAIQWBFAFK/ocA4CEIAABCAAAQhAYBcEEMW7SDOdhAAEIAABCEAAAhBYEUAUr+hwDgIQgAAEIAABCEBgFwQQxbtIM52EAAQgAAEIQAACEFgRQBSv6Jxz7vdxO7y+b58n235u76+H7fD24Vp+bMfDYTv+docfaffv+/bSxa0Bhj68bO9/9dhttj/eDtvLr9O0R94/f70M+FvL6/oQ4jkv/+Ynfwamh+Pmq8G1ep7d2J9cA2ffE9q9dH98230w5Bt8nMs83ZeHw2E7/KQ8KfLv3J7lfJgH5zhc+3CMv2lcPtW3wGc5tgqraCvU42gekXZsQgACVxP44aI4C9E4sU3ESxy080BzzWAzmwxcSqIgGw78g8FXB1IdCK0fhyAMP5LIlmNpAk99+TZxEfqRGc3F6FpQRuE4iVNj7ra7hw3xM+GiNjyDW4jibRvkz+V+tBtj6fo3almPpRqSWo1Ms8ib8PAMqrXv3qq5+fz7uaVYL3lQOi2Kh3U0YzgRYx33CbfD8CHPjSfn1nSOcfoAZTEMxFHi2Av5vhbGrIfMLO6O3aJ/Xdst5dhiDn2wNrPtYckln83YYjwsTvd5k5qOPpVzredh2PngjK/FGM8bo6Ghvv8zm4VvYyeNPzrunbW9jKlxsG2bj/G6Mc9bZR8Cj0jgB4viPMCXm9/vh3Skm7sOyHmAKdds22yAsmu6SXaU5ThB10kr2LRB02KI+ybQ4+TyuX02K68p/nrdyFE4FtpVX7NWFx+XPvQTshdqad8Yxaj8Kq1MnIGHth22Dwflmma768yYVYz7jNyWScUm+TwplONukl4dT/m6cuKKfmouffzpYUVEcYk3APnXE1fwV2ONKfn7sX1YDVttd+xMiJyO19fJ8t6L/sy2FkiqjVJvWlPabLg9rqth03xQY4zbgwfjOsb4eJO/9tulfMzbiaKuv4+i7aYuLNpck3I/mPhp/aX2KUYfXxofI0vjaJ/Zjc+ZeS+fIU8WX+zDcftwNkrbm9W0q4nocFDPNZCy1fdPa+R0TUdDMraG/d5mcTfYOC9OvTDmssm7nj1n+8x+nWOKNhB4MAI/VxTHAdZP0uEr63psOEnZwOwT1QzUaVBYiaHyVD+KoxGuYssmh9HAOJrkR8fixNFPXr471+wHXkVMNAZOD8yRtQ7EwrM7N+p/FqbloUCub0KJOzoxTR5sNJZ4zaoPrb3G3zSOE9d4UdMYHe+kevUPIDnXsc78OX34Gtu86Gist97H8j4IIrhh3XIZ96n1YTn3YiFe+/q+vYdXWDqx3R4zG7G/mjPdPgmjjf1k8/CIGh4G7b7O/JpYSl2ncaA9l47pPRcFjdnzAQzsL9vHmqnj4UoUr8+5B9YSV4q/z435bHmW/E5zMmJUnF2/ETm09dLHrOfr+FpiLmOx9Gll1+Ww2BmOfauuBSbGc9Wunos10dyT9dx5WzfKw3nOaQWBmxL4saK4mYwKwjRg6SRTTuWNNEnXQa+cnwzUIz96LNnTAVW3g5/xAKODZIgh2vEDWRiI3eC6XkEtvfnmjdMD85CDxd6xlYnFIs0TTBEN3TXWMHwOrp8xLJed7oOtvq4nzJxfn6vi53QNlqZuo6uBMhGPRMm4rpzJy3bVX3flOfzCRePcGNuS32i/7cPwnrAa8vEsY5XGua5WOa3jhYt9ca31I+asxDjIfYwziJrBuWhfBE9su37QiYKn+MsPhLIvPS+vRVmslpv2IUauaOJJuZlye33fPvSBIJppa6Sp59A3izP4sW1xP66RpsHlO4W/u3R23DUrNRnbh/G81kjMRfPwW885M81uuk7nCb8tNRHnj7o/HGfdN07RfhmfrO7c63gNf2tjv+Vo78smeHYg8OQEfqwobm98y1K6uaeDfhaodRK060aiI51rBvbcfHRMLJXN0M7eDa4TUzjtB512MikGBpPHub6LjYs3UmzTyVBX7GRg7eLS2MuEkoPx+3miCT4LpzhB+8mi3S9ts1mNIW5rrLNt6YNHpTa8L9/W9tM1dfJcc6yTnV3ff7YTbbJ/znW9pZNHurzoFW0ceqbdnrUb1Xh7bCgWYn7adtFfF2u+951AWD9EplqvuXWxaw2XTrZtYj6khmIfZF/9+7Z+P7ZtRFZxWjfifVEf6jt/tWV6HalZZcyMimDSxvW3BZVHPv/7uB3fwo/lwv1nvhO7um/X23n/DY7U7Il7u/PvwrxkN/AZjvexfiSmidFyfam3nP9f6VvJl+ZVNlen8Zo8ZklNFJsjny6/aa6occaa6fLX+o01UdrknOvYmuOqXFKbuu/vi1GgHIPAcxJAFMe81YGhGcQ1p8MJMA/sZYBJF7QDk9puRZsNMrG9F2VukGzFU5pYWj/Bd/L1nZNGmoj7gfvkj+8cry7W5nwbt2+b9o/tX+lorvcr6a09S6O3a8fP+7RJXnI4y5Grh2I/Tzbr/FQ/Vh/x+tBfXyNn7jd2SjBXbOgkrr5jf3vm7eRr/vp28Uy0XSf31LqfzLUvMZ85B52vaK8KMPPuRYSJ0riq6fPmaqy7v7rzwUvbP40xxhDzWONq4l6ds286iuisPWq2oo3KMdqXOq1tc501fU6xn1o0qPUrNoyF9SHuvzSvqxlrW28ssQRRrX99x2yVBraR/DVt7dR3fw7rsXcS+MaaLPWW8/927Bc8ZjZdf5PNtHLr+1r8lVDae2Q8xrVtYk2UvI9zHtuUuklt6r33D/NQ+skGBP4NAUSx5xwH9TqplNNu4ErH/WCRjo4GndODW/HUbsR4ghDLE2kZfLMQVHHitr3P1vBle93kni+Px+NqUzvw+sE5tRNBGWItg66K2jypyCT58Rb6vh6Ivb9R7zSGOZvev9kKf1XhnP+Snyp80jXJbhC2M98W3+x867u1F2uuWfVrW3/LntSe2Qt+bbLU7fQwNbiPnGg0O6m9Y+ZERGPfRKLVkI/N7xdHbZ1Gv28f2+ff9/jQVWtyVG+uNhZjguUw5tRiDDE0ffI+dF+3U/DjuiodSxtu/Ep14e47GyeKMDIbuaa643ZeYvJ8hUWIM9VEsqf10Qvuj+3o/Ykt85w+xX974rq92IcJG2M0+8w5LTVZeLQ1Us6HCGf9csfDNcff4S+4pAdh4ze8R0avT3ierk2sidKmzZGBjG1K3fo235wHc8onBB6AAKK4S0IaALrB2w1c6bIwOPQT/2jQsUnS3IU2abAbDTD1WGiXvprsRbHZ6j/r9f256440k3ueTNo+jVmYt3h9GYgHE0S0+bK9x4nAiaNopPYp8p1NVv746/v2f/WHWBqDBdd8tpNaPBVy7+2evZ/6EmN+PW7H1xOieBhfrsnGZ193tkrpYy2TatPPK3bKxF+vrXWsDzYpV2O/A74mcH3frSbyX7BQXyGCpib9D5QGsaao2zpt69Jx9vF4QT8cE9r++RgtR5HNIMZYJ8Gv63uMPdbh6N6o+fDCKdWd/h116+PITj7X9TvbjzH19dv7qPHU/rdcUguLpQrTyGXINVxRx4Dq4TZbsU+Dsd17C+3amF0/pS9trYklaWP1UcbWzNzu6XK8XL6qZ2vUtol9KzlO8fp7tc2pb/Pv8mA94BMC/4rAjxXFdTBWlP7m1nO2ndrMRXEaEMIgMvbhX6nI9hpBkyaBNBDpAJO2u7+RqpPhYCK1yMvnaEItJ6/bGPW1GThPxNVNCM1EkGKKbeLfYB6tyCon7UPg+7Id38Kv/F+WfwhfYzBfNtlMP8vkoT7X2+ontixsUi0cf1ueqxiY+peV5XHMWRzHGunt9ZPoOvbl2S5nqT9lQo0xvGwv4R+pKatM3qIxsG86gjib5NbVcREg2WTkoX6Cf8tXYe79B1/2QFFjqa3SsZCPnp1rP2Gu13YxZvEe4hydK8c61rbKPIqrRt/ck+ZLGcWmuf6647nvxrCaTVuxv1lMR759vVkdF3aWw9HDrtnw/hZcla0P7/v2c438Pv0Pa5SaLPlyNWL9zz+kLFw02HKt5dg9sBgn+7ZQr3WrwLF+BnONzimxRgrzFG+5h7Ptto58m8n92sTFDgSek8CPFcVpxcQmv5ycMkCl/fbGtwSmG74ZJMqgFCYBG7DmA0MZKKNJN0hmN7VNspMmE7NtseTPbjLKf8tzNviFwbxM/M7Wlbtlss4Cxia/9WftT7w+DMQNyzypxgE6cZpPeiPe4VjKcbEfWJUBv+1sadMednvjfMVGMQ8TISA+534Wtm3lU+y4wPq/QKL1rBNrvHDEy1u8bL/vl/eR9us9kr8RKPdM++Mqu8ei3U6g9QKh3jMp7ul14XRkU+uv9rTWTNfGatP+ckL3gOby1zEPXto2wxhjHYUfp9m3RTU6iymcG9XxeMzK1+f4VXhN2+dathwkCyn2kV/rV3su5buxMeAeY+hYSp/95pBraOTrzV/4PftaZ2Fbec48xDyH8Xhw/1r/pw+K0t9oR2yYXftBtorbFIvU83QMadvEeIqPlPMmh93DlG/zb/IwY81xCNySwM8VxXlyqgPRYMDPk4gOCGkAs8k0XyOTekrGwFbJkh9AzEYvppLf8QDTDFx5Eo3/JPBg0imubSO2cQ8E4ZzasbZnftbJffAOYGatHKtZ138TPzIR2GQXc5Vz0k9ELac0WdQ+NpNJ7Gc9Z7E0bcLBIY8Ub+9/8MpHNuzt+n3zb8JiaHs6ocnV/h9A0Tw3PMM1La9qxX+ToWdW25VL7J89kFk+Lf5w3B8L+5H1QAROchUjcfkp4sJ8O19N9NP7JHBJtVHvscQqPJBpDVs/67HKoPG12Ik2hEdqWv31tbA6F662+8nGqOx8wjf2sfOfo4ivFel9km0XwZRtm0jy42D2WR+CUuy+T5a3yrHajVvFThaVYX8Y89h+sFFz6WxfuNvzCj6V0cig1UX67Po5yU2xVPor/StM1LflXo+dE1/xFDdaVuOYWw6+jcTZmmYPAk9P4AeL4pAbG0SyIB0NtFmElRXPUZsmzWlAGA/aoaEfMFIMo4kiDZ6+fXIWBqUyuJYB0oS1mxCb+PRr6fZEOxi2507tmUAYr1RYXOFTB+yFVZsIrG86EeeclP5HM8Yp89f2JsiaYzn3ciz2Qfaj2ehfYx7nq7Qd1Ie36/crhYXtYR/qlWGr5mDA2ziqYBy+AmAcW9sn96L9WXMC024AABx2SURBVN1l1jH3bX6aOnZOrD/+3rBm8bzw9rb8ebsufg7jtTjD6l+IM/SnjbexEXYaO+v8dddazqQPqY3FMeYZ79MT95GxK+PWpH201fm3SHPfi9i1uLS+8vbURrBldmTMyi5SX47bR76nNdelD6N7cugv+VEbyc3suPXznM/cBx9LvHRtv6lDP3bl+9L+ZF0Xe5l/8rd/wb9dIz821h5EpiXOEJuOX9pyvN1en3LejrX5IaPkwLdZ8xh75SgEnoPADxfF352ENBi0A8hgIimDSfCfzvvBMAxMyc5ogHHX6MQcB9F+Mk2TT53M2hjncZxLKNnXwTfF7VfXbECfPzRkj3ng764vAXnWI06lcf9qQT1VttrJoBx2G469npWYqxjJzMsktVq16m0XYZDFrK8TdR/bip/0VXvOSYitqbsJr0n9qJ/RdmA3ji3XgcbVPIxqzVTLqd+ujgd8xz6rHd1a3wOJfVrV9LWlVlbbZqPeZ10duIeSeL7Jy8r+852rzFMua16NleQ457cfm3K/i0A8g6/W25U1bbStD6dqLbVz9Rz7JH2MD0LH7f1vHgdUsFp9W+zW37AfzznbFuDyM99/o7pbHbMYlrY5CYH9EUAU3zznKoR0AKsDoBdGaaJtB9ovh/mlieNzC38WLQz0uiq0mkTiBPIgYkD5zmK2iXHJPkxc0z5pbmcC8stZ/LKByGKnE2L6036G0ETbGQKsvFah97LZWX9G3tOaWV/70GdN0A37lu+FUZ3l62b34TV9vrqmvUg9y7nd5/a7jtE4nWtr1H971cO+pdA2xnQlZss5mz9CPLZ9Vge+7VWT87zRCgLPRQBR/Fz5IloIQAACEIAABCAAgRsQQBTfAComIQABCEAAAhCAAASeiwCi+LnyRbQQgAAEIAABCEAAAjcggCi+AVRMQgACEIAABCAAAQg8FwFE8XPli2ghAAEIQAACEIAABG5AAFF8A6iYhAAEIAABCEAAAhB4LgKI4ufKF9FCAAIQgAAEIAABCNyAAKL4BlAxCQEIQAACEIAABCDwXAQQxc+VL6KFAAQgAAEIQAACELgBAUTxDaBiEgIQgAAEIAABCEDguQggip8rX0QLAQhAAAIQgAAEIHADAojiG0DFJAQgAAEIQAACEIDAcxFAFD9XvogWAhCAAAQgAAEIQOAGBBDFN4CKSQhAAAIQgAAEIACB5yKAKH6ufBEtBCAAAQhAAAIQgMANCCCKbwAVkxCAAAQgAAEIQAACz0UAUfxc+SJaCEAAAhCAAAQgAIEbEEAU3wAqJiEAAQhAAAIQgAAEnosAovi58kW0EIAABCAAAQhAAAI3IIAovgFUTEIAAhCAAAQgAAEIPBcBRPFz5YtoIQABCEAAAhCAAARuQABRfAOomIQABCAAAQhAAAIQeC4CiOLnyhfRQgACEIAABCAAAQjcgACi+AZQMQkBCEAAAhCAAAQg8FwEEMXPlS+ihQAEIAABCEAAAhC4AQFE8Q2g7sXkx9the/n12XX389fLdnj76I63Bz6399fDdvzdHj177+/79nI4bjMv58Rwqs2sf2fHSEMIQAACEIAABJ6GAKL4bqn62I6HL4jCu8VdHc9E4ymxmSz0ojhedzhsB/e/oXBGFNdEsAUBCEAAAhCAwJcJIIq/jPBaA4hiv1Lci+kFIy+K3X5vq8/TqTYz0d9b4ggEIAABCEAAAs9OAFF8twwuBN/dYrrM8Uw0LsVmFK/9anB4DaO/bsHIieDN7VdbaUU6rD77FefaJvfb2Zj17zJKtIYABCAAAQhA4BkIIIpvmKUgqvRVgPb924HgGwjGIuTyubJvccfjL9v7Xzuwba3f9py0iq9vnH73t17ht2aisROb/sK43/e/v65vk8Rvy/Xw+r59NoK2CuHI//W4Hcv7y+6cvarR2Ugc25wNO8JBCEAAAhCAAAR+AAFE8Y2SGIVpEFpmvxO1TvB157e0cnowUZvFnPsBWxSS4icJYvkB2u9jFOadmN6S/+tF8Tie0N2u78ZAPwdxnSWKzUYjgrdtKJYLqxSrZ9D5czYTSxXglgsLgk8IQAACEIAABH4KAUTxJJN//vzZ/vvvvygow2fYP/+/uWCsNlpR7MVtbOeEcmzT/MWF5KesZrr25usskWqNz/7MfQwrrUV8pouTmFwLyEZw5us7kZqFuxez0YsK2CywD8KmtXW9KC5sz+ZCQwhAAAIQgAAEnpEAoniSNRPE9vpD2L/kvyRgwyqjrNo2BlpRrKfqtWmVsohCL3qjGKziM1038BfbDY6r04u3Q/wv2/vv8KfR9E+zpePHt5fuHd7iIvRDXmmIAvnt40bvFAevOVZ5xSQcbYWzrTZXTiEuRHHJGhsQgAAEIACBH00AUTxJr4lh/Zw0nR8uK5j5K3h5zSEJNfnxVxa85i8KYS+Ct3YFOopJsenFtNlKn1XszQO+4EyMLdvMcUYBacdD390KslkPcb78+uj+TnEnUs9dKQ6GzW92kmwd03vTYTVbOGkcTYzOBqLYSPEJAQhAAAIQ+PkEEMWTHH91pbgzawK5CMV2pdgL3Hh9FptlpdhWN+Pqc7peVzKTKP5m8dt1JB8I/VGhmfffw48LYx9DfINYivDsX2noRWjLqAml2MlH3X4vsJur407Xxtno4+ltcAQCEIAABCAAgZ9BAFE8yePX3ikeG40irAhJFXxJIKrADRaSyJXV5HAwCrfDdnwLP6Crr05Ej1F4u2Nmp/gdx3bp0aFgjLFV/8M2v4/5lQQvigOPem2KRxnptnE4bh/mM77GUUV4J3jzKrsytjaJs9mqNobxXwqK9hCAAAQgAAEIPAUBRPFN0tS+5pBcJFFXRVkr8oIAa94/zuI3vPpQrwmWsu3JKwEzO7rarPE0rw+cy8KEaPOO7kDYx3ZVZLbmW1EchWkn3JVR2DbRnI7H10LsGufLBG/1qddv22Yr9/pDQWcDUVzpsQUBCEAAAhD46QQQxTfLsIjXILxUfEWfKvjCAd8+CMAs/sorFynYtLLpxXLtSBLG2efgH61ILce2q5X5VrQ/iskEqlw6FruhgYjiKEbdini04dvYau6gbbRholkCsM0ogoNAz5wHsfr3khHFBo9PCEAAAhCAwM8ngCj++Tn+3h4WcVnNJpG+XhFu3j+Ol5rgTZ/tani13Qh8J8Rrq7RlDwvph4X1ocD2+9XydF3jwx5gZp8nYvAxsQ8BCEAAAhCAwHMQQBQ/R54eJsogIBtxORDJfbB5dRZB2aPhCAQgAAEIQAACD0EAUfwQaSAICEAAAhCAAAQgAIF7EkAU35M+viEAAQhAAAIQgAAEHoIAovgh0kAQEIAABCAAAQhAAAL3JIAovid9fEMAAhCAAAQgAAEIPAQBRPFDpIEgIAABCEAAAhCAAATuSQBRfE/6+IYABCAAAQhAAAIQeAgCiOKHSANBQAACEIAABCAAAQjckwCi+J708Q0BCEAAAhCAAAQg8BAEEMUPkQaCgAAEIAABCEAAAhC4JwFE8T3p4xsCEIAABCAAAQhA4CEIIIofIg0EAQEIQAACEIAABCBwTwKI4nvSxzcEIAABCEAAAhCAwEMQQBQ/RBoIAgIQgAAEIAABCEDgngQQxfek/6S+P3+9bIfDcfv4R/F/vB22l1+fE28f2/Hwsr3/nZwOh38ft8Pr+zazEPvz9q96s4iTUxCAAAQgAAEI3I0Aovhu6CeO/75vL4fDdvw9OR8Pf27vr4ftcDchF4ToSqi62IMoPRzO+N9Y3CKKHU92IQABCEAAAhD4dgKI4m9H+kWDDyOKs/A+S8x6wetWkU+s1CZi8xVfL4rb/fl1JRMn/LNSXEixAQEIQAACENgtAUTxo6X+YUTxCEwSynUV+wxBGsx880rxVBSbH/+qRCeK27gRxaNccwwCEIAABCCwLwKI4lvmOwtcfXWgCsrs2LU5/hq9PuFWbd/e3esTWeT9stcU2tcQ0jvA7bGLuv37mN/pnYviIFS7vpmTTpTaCf1shWo4E2wqu7AdfDSi2IRwXtE+vtX3h0fXp3ehW1+IYs0D2xCAAAQgAIF9EkAU3yrvgxXfTpzmNvVHZEGsJSFYBWYWxLL6WcReeafYrnOvLeS+dX4v6XMUnS/b8Xf4mdpcFG9biqHGLU6ccPVCt+6PhXsjgodiWa4bCfDu2EAUu9dEhv2QLrEJAQhAAAIQgMDPIoAonuTzz58/23///RdXKsNn2L/kvyhERcjGa51QjuLWt8kCsoiyuC+iLxrKItiJ4iquL4l00bbzvRLF27Z1In9h+4JTVRTnB4TmR36twB3+pYlzRHFheUFgNIUABCAAAQhA4McQQBRPUmmC2FYxw/61/6WV2voqQBK8SeB1QtYJ56G4ziu29a9PLFZprw06rvx6MX6GsRB/FvplRdutwhrT5aeI1CqKk/92vxXFkZdcG69AFJ+ROJpAAAIQgAAE9k0AUTzJ/0iwTZqOD2dxa3aiEG4EbxKynSh2ryFEYelXk+0VgiL+biGKU7e8oLf+9J9zAT0Sqq2wDb78KnTF6tu2+0kUH9/C3072r55kG4jiCpMtCEAAAhCAAASGBBDFQyxbeXXChNalK8VDMduI4kdfKXZgulcp7HwS5HXV2o7Xz/OF9fjHeq0Idj+0O2dFG1Fck8EWBCAAAQhAAAJDAojiIZYtvkNsr1CEz8veKR4LXhOH9r7wUDhH8SnicChGvRC93Upxg2cY2+l/xOO7Voojr7eP9q9PjERxjFN+dBj2w2p7YZlWl+1fwRvF1/SbHQhAAAIQgAAEfjwBRPGNUhwFnP5TyPI6RXllIh8r+/nVibA6bcLZXivQf6Y42dZ/0W4tipMYn7/ecBEC6YfGNLaRxful7xTL6yL2IKFMQv9bZm3fGpE7jBdRPM4XRyEAAQhAAAL7JYAovlnu02qxvX5xOAThlkVieRe4/sUGa3f93ylWId126ltEcV4lTnEet49mf+67jaTutcK2HtetKP5FINu5eFwZ2on4WVfpYzt9MCntEMUFBRsQgAAEIAABCEQCiGIKYULArfJORWi4fPQA4I/Vv75hDwDLz6U/F5tfiR4I6Rjlr/pjvKXvYG9iYwKLwxCAAAQgAAEIPDkBRPGTJ5DwIQABCEAAAhCAAAS+TgBR/HWGWIAABCAAAQhAAAIQeHICiOInTyDhQwACEIAABCAAAQh8nQCi+OsMsQABCEAAAhCAAAQg8OQEEMVPnkDChwAEIAABCEAAAhD4OgFE8dcZYgECEIAABCAAAQhA4MkJIIqfPIGEDwEIQAACEIAABCDwdQKI4q8zxAIEIAABCEAAAhCAwJMTQBQ/eQIJHwIQgAAEIAABCEDg6wQQxV9niAUIQAACEIAABCAAgScngCh+8gQSPgQgAAEIQAACEIDA1wkgir/OEAsQgAAEIAABCEAAAk9OAFH85AkkfAhAAAIQgAAEIACBrxNAFH+dIRa+QuD3cXv59Tm38Pd9ezkct495i+858/u4HSZ+Pt4O2+HtdASh3bIv50YaYnl93xZUzrIU477Gzr9i7nsR/b5s73/9iW37/PVyHZNo87K8RF+jfH9TXvrecQQCEIAABB6BAKL4EbLwz2L42I4qkgZC8ONtLEpuFeJnEMWHw3b8PfGwFGgf2/Fw2A5X/M+L17mgDT7OYSLtItd1XNP+btt2rgifEJPDic/KlzQum9cI0HhNl4f8MDPh4eOaitHtc3t/XdRIidxvpOtSfawfrDT/Gsds23tiHwIQgAAEnp8Aovj5c3h2D06uHEbxco4APNvleQ1FnMcYO3HVC8wqqHrBVAWOCNUSiWs/EWxlZXh23q8qh3b2wKHbxa9tOP95JfMaYZ9WtlX49ZxWdhPDJJxX7ebnaq2oeIw91YeZjocT6zMGxnN2/sTDSqqlJIbj9mj119Iiwtv6Yp+pictbuY4NCEAAAhD4KQQQxT8lk2f0IwoDExqj9lEAVqEzanKrYyG2KnTFi4orOVw3e7ESbKWV4P7ctjmh3Am2/FV9FFDh+gGPyElXHp2fgc1VvPXcNa8JON9qbBrHiWu84Febk+0oILuHmTNXikc5ltiHtRGvGeQmx5fi0fNJiPtvCEbdacVwbjEV5loHI2scgwAEIACBZyGAKL5lppqJNEzQboWsE1fbtuVrWoGYREyzYtesepnd9FnalTb++iwWxL8XNUE8pGN+0s+2iu0EsBch3wQ28vAxqG3ft7RaauKnCuR8jbcn4susmiiyTztePoVbPBb3RdQPbJZrZUWyHrMty6PtX/Lpct8JVFlFdrmrXhJLY1ePn97qWCnnjofrp7Y1V3aNfdpx+4zXqOi1E/n1k+EqcvLb9S/aEj6e3dtH/0rLKOYaAlsQgAAEIPCEBBDFt0panmjLBCwTbxG8YcL3q3K5XWmTRVT5Oj/E623H1c8wqYtIiLZFqNm7qrpS7P3HfbHRxVJ91/gSwG8RxcKoCHsvUGy/CLsk5DQeFcJerPn9LfRZmWy2UvweV4mPby/9CnZzTRXlJYbIcSGyJu9Qh7hTLOcI3NWDQu5DZlXiOlHrKYfBbu3TPA9SJ1O7bW6mNRLz7vqTGb+HbxDeBj/GHF1T4hZbMRcaa2Zb6qcN/vPXcQs5j/22urC6tP1wSVMDrQ32IAABCEDgOQkgiid5+/Pnz/bff//FyTF8hv1L/qsCR67KYqmIlLgvE3homifg0ibu66QeGmXRUib20QqYb5NX0PzErqK8ExC9jSqcpF9XbiZbWTyWvmTBMRGOsffhLxGU9q3wCudVFCeexrhvOxI3MS6zP+Ivgii1PcYf/JWcyflz4o34OvbxaPt/Js46NgMRLXmOtdg9TLSmu7pzp9Nu9VMe9sKJGPv6IWAmrqOd2C/LUXbcMEx+C9/QxF9jbCxv2UyKzd8/tposPvP1IR7Lf/x8fd8+4l++eGn+Coq1MTd8QgACEIDA8xNAFE9yaILYJvOwf/5/SXw1wiFcnCfeMrlHMSET86iNOrWJvxM4A9HQCedrRLGtOFqMvUjW8K7djqLNixlb2Q6iPfbbYnCi1/ppTPJnZS9C2NmJ8c4Encbj8mRiKfzJtI+3ENeIf6VxWkCZ2OzFm1lJwnZ+/vPveX/ALcaiD0LRQc5rJ7bNu9VB+81DPeu3WnunYrf7wu618inCPrWR/mtO4rac03BW5+x+/D/ttwWarxB7ul81x6l/tcbUIdsQgAAEIPCsBBDFk8yViVnE1qTp4HCaQPtJUydWW2GrYi8asom6/ImyKjBiTFGs5WNFuDm70ZBvc50oTj9My8Kgi23Q9SsONaJ4JGJGYrb4Sf0sDxp+pdheh3h938JX8XWFORsI/lR8WfvCNrRrWaooTlYq/yQAz1w1jX7Ndlhtngi7QZ9K9yOvM/1JLaf6TrUXY349bsfFnz1ToVh8x40cf2N71I9Ru/yDyFF+B3lJcea/3xz77e6dNrC0F9uN4hk1tlyM/yZ1rdOQ73NtjvxwDAIQgAAEHpEAoniSlYdZKR5O6n7yrqKsdse3uVYU5+vePiY/vKser92qYsMsuNgHAslammBdiWJr07xzbQYGtocCUIRbf37EPzgI/XhJ76i+vmwvjdDOART/WWj9Dv9Yybki93Jh1sVe+pWYH3+nvoweCkfHjHu028Wd44s13PfJru1ehQhoChdLVPjMjMI/7jE8r23zdvR9gtMkvtRfuTa2O27v1/5DIoPwOAQBCEAAAo9DAFE8ycW/e6dYJt0QS56gTTBEseFWMsvXzUVkjUSZE5Z5tbFZFc2TfFkXi/sunhJT+AHSYKV1wu+Sw0UUR4HWi6eRGKv9MDFXv+LX9pFjsTtYWQx9dnw74eg6058f8a8CrrQPvkrOnFEVfP7UaqXY2sbcTdiJzxKLXVc+K8dySDbm16VG3fnIPNdSx9jxKsJcHHbXyLmweeq8NY9cBjVt5+0z14jdd/Fw5yPfU4vXTMwcnxCAAAQg8HwEEMU3y1ma+OsrFGk/CLYy8eaJeNkmTupyjX2VH1bliphzIiP26RtFcfnrFhpHCy6Koiu/UlZRfOz+yedR37LvzM9EsHEM9mzbHjLCforRCeNO+GRxLUKy7WldOa/H2xg9i0YwTkVasDEXb02fquO6NehHONn4HuxXA88limO/Sv3XXnRbU95ty5Qzuadibfl8IIpbauxBAAIQ+FkEEMU3zWcSSybajr/SV+NFFAffcdK2Fb4wCbcCKzQpE3b+ejoIvCgkyw+m+mvKKwMq7kRExhiibxWJddL3K5qtvx5aitGLiL7d6EiyHRhoLPWHicavOz8yJquqZld5d3E2/C0PqxXxxLqI7hiD8U+fnl30qXmwB5vmWLh2zi/0pfXpOh/6MRCJ3rffr1a+QRR/6fUJYW92Bv1J8eY6bfjVnjRbMb9zrk3bsOPvkdIg+wwxXWqz2GADAhCAAAQemQCi+F9mJ0+4KtL+pfvrfV0gQi52km2rIJ4IkyRoV4I1OTcxPHyHODRRUTMQk61wzELXhFr47MSaieJx51t74zbN+7K5Se1HEIwnhF3s00BYhnhFPEabsl+jSXnQ2iy8c9/1XL0ubXV9jDnMMXeMHa/Y1j0QNddYjWj/XHsfkO1HLifYxbbiI+c3sorbuQYk78ZmxcRC4BMCEIAABJ6DAKL4X+bpWUWxCpxv5xXESBY4mc9aAGbxMhR23x7c8xhsRKQPuxX2uxJy54ji2KZ9eCgEc00OV+nPsV0MsQEBCEAAAo9OAFH8LzP0dKK4iqldCal/WRP4ggAEIAABCEDgIQggih8iDQQBAQhAAAIQgAAEIHBPAojie9LHNwQgAAEIQAACEIDAQxBAFD9EGggCAhCAAAQgAAEIQOCeBBDF96SPbwhAAAIQgAAEIACBhyCAKH6INBAEBCAAAQhAAAIQgMA9CSCK70kf3xCAAAQgAAEIQAACD0EAUfwQaSAICEAAAhCAAAQgAIF7EkAU35M+viEAAQhAAAIQgAAEHoIAovgh0kAQEIAABCAAAQhAAAL3JIAovid9fEMAAhCAAAQgAAEIPAQBRPFDpIEgIAABCEAAAhCAAATuSQBRfE/6+IYABCAAAQhAAAIQeAgCiOKHSANBQAACEIAABCAAAQjckwCi+J708Q0BCEAAAhCAAAQg8BAEEMUPkQaCgAAEIAABCEAAAhC4JwFE8T3p4xsCEIAABCAAAQhA4CEIIIofIg0EAQEIQAACEIAABCBwTwKI4nvSxzcEIAABCEAAAhCAwEMQQBQ/RBoIAgIQgAAEIAABCEDgngQQxfekj28IQAACEIAABCAAgYcggCh+iDQQBAQgAAEIQAACEIDAPQkgiu9JH98QgAAEIAABCEAAAg9BAFH8EGkgCAhAAAIQgAAEIACBexJAFN+TPr4hAAEIQAACEIAABB6CAKL4IdJAEBCAAAQgAAEIQAAC9ySAKL4nfXxDAAIQgAAEIAABCDwEAUTxQ6SBICAAAQhAAAIQgAAE7kkAUXxP+viGAAQgAAEIQAACEHgIAojih0gDQUAAAhCAAAQgAAEI3JMAovie9PENAQhAAAIQgAAEIPAQBBDFD5EGgoAABCAAAQhAAAIQuCcBRPE96eMbAhCAAAQgAAEIQOAhCCCKHyINBAEBCEAAAhCAAAQgcE8CiOJ70sc3BCAAAQhAAAIQgMBDEEAUP0QaCAICEIAABCAAAQhA4J4EEMX3pI9vCEAAAhCAAAQgAIGHIIAofog0EAQEIAABCEAAAhCAwD0J/H+JMYK83kmCMwAAAABJRU5ErkJggg==想请教各位大佬，这个API函数返回的WORD数组是什么？要用什么数据类型去接收该函数的返回值？我用table接收后返回来的为什么全是nil，而不是MODBUS报文？ 没有类型，读出来的数据 ，都是原始的，所有转换计算都要自己实现，相当于给16进制数据，自己写代码转化为复现、有符号、无符号，长整型、短整型等 Cp`sir 发表于 2024-2-22 17:13
没有类型，读出来的数据 ，都是原始的，所有转换计算都要自己实现，相当于给16进制数据，自己写代码转化为 ...
我调用这个函数：
print("mb_read_reg_03 typ:",type(mb_read_reg_03(03,01,1))) print("mb_read_reg_03:",mb_read_reg_03(03,01,1))，
打印出来的结果是：
09:38:56.271 TXD 03 03 00 01 00 01 D4 28
09:38:56.319 RXD 03 03 02 00 00 C1 84
09:38:56.319 DBG mb_read_reg_03 typ: table
09:38:56.319 TXD 03 03 00 01 00 01 D4 28
09:38:56.361 RXD 03 03 02 00 00 C1 84
09:38:56.361 DBG mb_read_reg_03: table: 16C48518
接着我把表中内容打印出来：
buff=mb_read_reg_03(03,01,1)
print("BUFF:",buff,buff,buff,buff,buff,buff,buff)
结果是：
09:43:55.854 TXD 03 03 00 01 00 01 D4 28
09:43:55.895 RXD 03 03 02 00 00 C1 84
09:43:55.895 DBG BUFF: 0 nil nil nil nil nil nil
为什么我表中的数据是nil呢？是我哪里操作错误了吗？请大佬帮我康康 读取成功返回数组失败返回空建议做判断然后再处理数据
axaxaxzx 发表于 2024-2-23 11:46
读取成功返回数组失败返回空建议做判断然后再处理数据
我实际已经返回数组了，只不过数组里的元素是空的，这种是什么情况？实际通信也有返回了的呀？
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