Error prediction apparatus and error prediction method
Provided is an error prediction apparatus including at least one processor and at least one memory configured to receive environment data of a surveying site in which a surveying instrument is installed, to input the environment data of the surveying site into an error prediction model and predict a predicted error that occurs in a surveying result obtained by the surveying instrument under an environment of the surveying site, and to create display data for displaying the predicted error when the predicted error exceeds an allowable value. The error prediction model is a learned model created by machine learning for a surveying instrument of the same model as the surveying instrument by using a set of the environment data indicating an environment of the time of surveying and error data in a surveying result as teacher data.
1. An error prediction apparatus comprising a control arithmetic unit including at least one processor and at least one memory, wherein the control arithmetic unit configured to:
receive environment data of a surveying site in which a surveying instrument is installed;
to input the environment data of the surveying site into an error prediction model and predict a predicted error that occurs in a surveying result obtained by the surveying instrument under an environment of the surveying site; and
to create display data for displaying the predicted error when the predicted error exceeds an allowable value, wherein
the error prediction model is a learned model created by machine learning for a surveying instrument of the same model as that of the surveying instrument by using a set of the environment data indicating an environment of the time of surveying and error data in a surveying result as teacher data.
2. The error prediction apparatus according to claim 1 , wherein
the error prediction apparatus is configured as the surveying instrument, and wherein
the surveying instrument includes an environment sensor to acquire the environment data and a display unit to display the display data.
3. The error prediction apparatus according to claim 1 , wherein the error prediction apparatus is configured as an information processing apparatus configured to be communicable with the surveying instrument via a communication network, and
the surveying instrument includes an environment sensor configured to acquire the environment data and a display unit configured to display the display data.
4. The error prediction apparatus according to claim 1 , wherein
the error prediction apparatus is configured as an eyewear display apparatus, and wherein
the eyewear display apparatus includes a display unit configured to display the display data, a communication unit configured to be communicable with the surveying instrument, and an environment sensor configured to acquire the environment data and is configured to display the display data so as to allow observation of the display data while being superimposed on a site scene.
5. The error prediction apparatus according to claim 1 , wherein
the environment data includes a plurality of environment data, wherein
the control arithmetic unit is configured to calculate a contribution degree of environment data with respect to the predicted error, and wherein
the display data includes information in relation to the environment data having a high contribution degree of environment data with respect to the predicted error.
6. The error prediction apparatus according to claim 2 , wherein
the environment data includes a plurality of environment data, wherein
the control arithmetic unit is configured to calculate a contribution degree of environment data with respect to the predicted error, and wherein
the display data includes information in relation to the environment data having a high contribution degree of environment data with respect to the predicted error.
7. The error prediction apparatus according to claim 3 , wherein
the environment data includes a plurality of environment data, wherein
the control arithmetic unit is configured to calculate a contribution degree of environment data with respect to the predicted error, and wherein
the display data includes information in relation to the environment data having a high contribution degree of environment data with respect to the predicted error.
8. The error prediction apparatus according to claim 4 , wherein
the environment data includes a plurality of environment data, wherein
the control arithmetic unit is configured to calculate a contribution degree of environment data with respect to the predicted error, and wherein
the display data includes information in relation to the environment data having a high contribution degree of environment data with respect to the predicted error.
9. The error prediction apparatus according to claim 1 , further comprising a position information acquisition unit configured to acquire a current position of the surveying instrument, wherein
the apparatus is configured to be communicable with a weather server via a communication network, acquire environment forecast data of a peripheral area of a current position of the surveying instrument from the weather server, determine a time when a value of the predicted error based on the environment forecast data becomes not more than the allowable value, and include the time in the display data.
10. The error prediction apparatus according to claim 2 , further comprising a position information acquisition unit configured to acquire a current position of the surveying instrument, wherein
the apparatus is configured to be communicable with a weather server via a communication network, acquire environment forecast data of a peripheral area of a current position of the surveying instrument from the weather server, determine a time when a value of the predicted error based on the environment forecast data becomes not more than the allowable value, and include the time in the display data.
11. The error prediction apparatus according to claim 3 , further comprising a position information acquisition unit configured to acquire a current position of the surveying instrument, wherein
the apparatus is configured to be communicable with a weather server via a communication network, acquire environment forecast data of a peripheral area of a current position of the surveying instrument from the weather server, determine a time when a value of the predicted error based on the environment forecast data becomes not more than the allowable value, and include the time in the display data.
12. The error prediction apparatus according to claim 4 , further comprising a position information acquisition unit configured to acquire a current position of the surveying instrument, wherein
the apparatus is configured to be communicable with a weather server via a communication network, acquire environment forecast data of a peripheral area of a current position of the surveying instrument from the weather server, determine a time when a value of the predicted error based on the environment forecast data becomes not more than the allowable value, and include the time in the display data.
13. The error prediction apparatus according to claim 5 , further comprising a position information acquisition unit configured to acquire a current position of the surveying instrument, wherein
the apparatus is configured to be communicable with a weather server via a communication network, acquire environment forecast data of a peripheral area of a current position of the surveying instrument from the weather server, determine a time when a value of the predicted error based on the environment forecast data becomes not more than the allowable value, and include the time in the display data.
14. An error prediction method comprising the steps of:
by an arithmetic control unit including at least one processor and at least one memory,
acquiring environment data of a surveying site in which a surveying instrument is installed,
inputting the environment data of the surveying site into an error prediction model and predicts a predicted error that occurs in a surveying result obtained by the surveying instrument under an environment of the surveying site, and
creating a display for displaying the predicted error when the predicted error exceeds an allowable value, wherein
the error prediction model is a learned model created by machine learning for a surveying instrument of the same model as that of the surveying instrument by using a set of the environment data indicating an environment of the time of surveying and an error in a surveying result as teacher data.