A method of automatically examining a milking machine using an apparatus for automatically examining the milking machine, which comprises a first vacuum sensor configured to measure a vacuum pressure transferred through a first vacuum hose, a second vacuum sensor configured to measure a vacuum pressure transferred through a second vacuum hose, and a control part configured to control the first and second vacuum sensors, wherein the control part comprises: an operation (a) of measuring a current air pressure; an operation (b) of performing a zero pressure calibration of the first vacuum sensor and the second vacuum sensor according to a difference between the measured current air pressure and a previously stored air pressure; an operation (c) of storing sampling data measured for a predetermined period of time by the first and second vacuum sensors; an operation (d) of analyzing the sampling data stored in the operation (c) and calculating a maximum vacuum pressure value and a minimum vacuum pressure value of the sampling data; the method being characterised in further comprising: an operation (e) subtracting a value of 0.1 to 4 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting an operation abnormality; an operation (f) of subtracting a value of 4 to 50 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting a trouble; an operation (g) of adding a value of 0.1 to 4 kPa to an air pressure value in which the zero pressure calibration is performed in the operation (b) and designating an added value as a low trigger for detecting the operation abnormality; and an operation (h) of adding a value of 4 to 50 kPa to the minimum vacuum pressure value of the sampling data and designating an added value as a low trigger for detecting the trouble. an operation (a) of measuring a current air pressure; an operation (b) of performing a zero pressure calibration of the first vacuum sensor and the second vacuum sensor according to a difference between the measured current air pressure and a previously stored air pressure; an operation (c) of storing sampling data measured for a predetermined period of time by the first and second vacuum sensors; an operation (d) of analyzing the sampling data stored in the operation (c) and calculating a maximum vacuum pressure value and a minimum vacuum pressure value of the sampling data; the method being characterised in further comprising: an operation (e) subtracting a value of 0.1 to 4 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting an operation abnormality; an operation (f) of subtracting a value of 4 to 50 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting a trouble; an operation (g) of adding a value of 0.1 to 4 kPa to an air pressure value in which the zero pressure calibration is performed in the operation (b) and designating an added value as a low trigger for detecting the operation abnormality; and an operation (h) of adding a value of 4 to 50 kPa to the minimum vacuum pressure value of the sampling data and designating an added value as a low trigger for detecting the trouble. an operation (e) subtracting a value of 0.1 to 4 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting an operation abnormality; an operation (f) of subtracting a value of 4 to 50 kPa from the maximum vacuum pressure value of the sampling data and designating a subtracted value as a high trigger for detecting a trouble; an operation (g) of adding a value of 0.1 to 4 kPa to an air pressure value in which the zero pressure calibration is performed in the operation (b) and designating an added value as a low trigger for detecting the operation abnormality; and an operation (h) of adding a value of 4 to 50 kPa to the minimum vacuum pressure value of the sampling data and designating an added value as a low trigger for detecting the trouble.