JP2012251846A - Corrosion analysis system and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain an estimated value of a corrosion speed, etc., at an arbitrary point through extremely simple operation.SOLUTION: A learning part 20 previously calculates and stores a parameter used for an analysis function for analyzing the extent of metal corrosion on the basis of meteorological data obtained by making an observation at an observation point, measured data obtained by measuring the extent of metal corrosion at a measurement point, and position data on the measurement point and observation point, an analysis control part 14 specifies an analysis point for analyzing the extent of metal corrosion through selecting operation on screen-displayed map data, and acquires the parameter used for the analysis from the learning part, and an analysis part 30 analyzes and displays the extent of metal corrosion at the analysis point on a screen on the basis of the meteorological data observed at the observation point at the periphery of the analysis point, the position data on the analysis point and observation point, and the analysis function using the parameter.

Description

  The present invention relates to a corrosion analysis technique, and more particularly to a corrosion analysis technique for analyzing atmospheric corrosion on a metal material.

  Outdoor facilities are exposed to the atmospheric environment, and it is impossible to avoid aging deterioration including corrosion of materials such as metals constituting the facilities (see Non-Patent Document 1, etc.). Elements of atmospheric corrosion that lead to deterioration of onshore facilities include sea salt particles flying from the coast, humidity, wind, and temperature. In addition, since each element affects the material for a short period or a long period depending on the terrain condition, a corrosion analysis model considering a plurality of elements is necessary. Furthermore, systemization is one of the effective means for conducting corrosion analysis efficiently in a large area.

  However, many systems for grasping meteorological phenomena have been seen so far, but those that take into account a plurality of elements have been rare (see Non-Patent Document 2, etc.). In addition, a method for efficiently learning model parameters of an analysis function for analyzing data is not described (see Non-Patent Documents 1-3 and the like).

  Until now, the corrosion state regarding the power transmission tower has been made using camera image analysis, and only the apparent color change has been used (see Non-Patent Document 2, etc.). However, no weather conditions were used and no visualization was made regarding the amount of sea salt particles. Moreover, it is not shown that mouse operation is used, and improvement is necessary regarding convenience and efficiency in system operation.

Although it is often necessary to proceed with analysis based on limited meteorological data, interpolation of data has been performed using numerical simulation for wind. However, it was not systematized and was limited to a single physical quantity called wind. There has been a demand for a system that can efficiently handle a plurality of physical quantities by inputting data and handling the corrosion rate of the material itself relating to corrosion other than wind. In addition, if the weather station does not exist at the point to be analyzed, effective data may not always be obtained by data interpolation, and it is necessary to introduce a data processing method based on a statistical viewpoint.
As described above, none of these conventional techniques describes handling of enormous data, efficient handling of a plurality of analyzed data, and a highly convenient operation method that leads to visualization.

Miyata Keimori, Takekoshi Ryoji, Takasawa Yuka, “Estimation of atmospheric corrosion rate of zinc on the coast”, anticorrosion technology, 38, 540-545, 1989. JP 2003-169415 A Yasuhiro Higashi, Hideki Sakaino, Haruzo Sakata, Takashi Sawada, Takao Handa, “Salt Damage Environmental Evaluation System for Telecommunications Line Equipment”, IEICE Society Conference Proposal No. A-9-3, 2010.

  In the field of electric power and telecommunications, salinity attached to structures that support transmission lines and communication lines greatly affects the corrosion of the structures. In addition to the amount of sea salt particles, meteorological conditions such as temperature, condensation, and rainfall have a significant effect on corrosion. For this reason, it is extremely important to accurately estimate the corrosion rate in order to grasp the corrosion of the structure installed at a point where there is no actual measurement data regarding the amount of sea salt particles and meteorological data.

  However, the above-described conventional technology is not a system that can perform calculation of each parameter and calculation of an estimated value using the obtained parameter at once, and it is also necessary to input latitude / longitude of each point for position information. There is. Therefore, according to the above-described prior art, there is a problem that the work for obtaining an estimated value such as a corrosion rate at an arbitrary point is extremely complicated.

  The present invention has been made to solve such problems, and an object of the present invention is to provide a corrosion analysis technique capable of obtaining an estimated value such as a corrosion rate at an arbitrary point by an extremely simple operation.

  In order to achieve such an object, the corrosion analysis system according to the present invention includes a data storage unit in which map data for selecting analysis points for analyzing the degree of metal corrosion is stored, and a degree of metal corrosion. The parameters used in the analysis function for analyzing the meteorological data are meteorological data obtained by observing at the observation point, actual measurement data obtained by actually measuring the degree of metal corrosion at the actual measurement point, and the measurement points and observation points. Based on the position data, the learning unit that calculates and accumulates in advance and the analysis point that analyzes the degree of metal corrosion according to the selection operation on the map data displayed on the screen are specified, and the parameters used in the analysis are learned Analysis data acquired from the control unit, meteorological data observed at observation points located around the analysis point specified by the analysis control unit, position data of the analysis point and observation point, and solutions using parameters Based on the function, and includes an analysis unit for analyzing the degree of metal corrosion in the analysis points, and a display control unit for generating and screen display screen data indicating the analysis results obtained by the analysis unit.

  At this time, in the analysis control unit, according to the range selection operation on the map data, the analysis points are respectively specified in a plurality of areas provided by dividing the range, and for each analysis point, the metal at the analysis point is specified. The parameters used in the corrosion analysis are acquired from the learning unit, and the analysis unit analyzes the degree of metal corrosion based on the parameters corresponding to the analysis points for each analysis point. From the analysis results at each analysis point, distribution data indicating the distribution of metal corrosion within the range may be generated and displayed on the screen.

  In addition, the learning unit associates and accumulates the variable values used for calculating the parameters for each parameter, and the data storage unit stores in advance the meteorological data observed at observation points located around the analysis point. When the parameter corresponding to the analysis point is acquired from the learning unit by the analysis control unit, the variable value related to the analysis point is calculated from the weather data stored in the data storage unit, and the parameter corresponding to the variable value is learned You may make it acquire from a part.

  The corrosion analysis method according to the present invention includes a data accumulation step in which map data for selecting an analysis point for analyzing the degree of metal corrosion is stored in advance, and an analysis function for analyzing the degree of metal corrosion. Based on the meteorological data obtained by observing the parameters used at the observation points, the measurement data obtained by actually measuring the degree of metal corrosion at the measurement points, and the position data of these measurement points and observation points, A learning step for calculating and storing; an analysis control step for identifying an analysis point for analyzing the degree of metal corrosion according to a selection operation on the map data displayed on the screen; and acquiring a parameter used in the analysis from the learning step; , Meteorological data observed at observation points located around the analysis point identified in the analysis control step, the analysis point and the position data of the observation point, and a solution using parameters Based on the function, and includes an analysis step of analyzing the degree of metal corrosion, and a display control step of generating and screen display screen data indicating the analysis result obtained in the analysis step in the analysis points.

  At this time, in the analysis control step, according to the range selection operation on the map data, the analysis points are respectively identified in a plurality of areas provided by dividing the range, and for each analysis point, the metal at the analysis point is specified. Including a step of acquiring parameters used in the analysis of the corrosion from the learning step, the analysis step including, for each analysis point, a step of analyzing the degree of metal corrosion based on the parameter corresponding to the analysis point, and the display control step. A step of generating distribution data indicating the distribution of metal corrosion within the range from the analysis result at each analysis point obtained in the analysis step and displaying it on the screen may be included.

  Further, the learning step includes a step of storing, for each parameter, the variable values used for calculating the parameter in association with each other, and the data storage step includes the weather data observed at observation points located around the analysis point. Including the step of accumulating in advance, and when the parameter corresponding to the analysis point is acquired from the learning step in the analysis control step, the variable value related to the analysis point is calculated from the weather data accumulated in the data accumulation step, and the variable value And a step of acquiring parameters corresponding to the learning step from the learning step.

  According to the present invention, calculation of a parameter used in an analysis function and calculation of an estimated value using the obtained parameter can be performed collectively. Further, it is not necessary to input the latitude and longitude of each point for the analysis point, and any point can be selected as the analysis point by a selection operation on the map data displayed on the screen. Therefore, it is possible to obtain an estimated value such as a corrosion rate at an arbitrary point by an extremely simple operation.

It is a block diagram which shows the structure of the corrosion analysis system concerning 1st Embodiment. It is a block diagram which shows the structure of a learning part. It is a block diagram which shows the structure of an analysis part. It is a flowchart which shows a corrosion analysis process. It is an example of a setting screen of corrosion analysis processing. It is an example of an analysis result screen at the time of one-point analysis. It is an example of a weather data display screen. It is an example of an analysis period setting screen. It is an example of an analysis equipment setting screen. It is an example of a legend setting screen for analysis result display. It is an example of an analysis result output screen of the amount of sea salt particles. It is an example of an analysis result screen at the time of range analysis. It is a block diagram which shows the structure of the corrosion analysis system concerning 2nd Embodiment.

Next, embodiments of the present invention will be described with reference to the drawings.
[First Embodiment]
First, a corrosion analysis system 1 according to a first embodiment of the present invention will be described with reference to FIG. FIG. 1 is a block diagram showing the configuration of the corrosion analysis system according to the first embodiment.
The corrosion analysis system 1 is composed of a computer such as a server device as a whole, and is a device that analyzes the degree of atmospheric corrosion on a metal at an arbitrary point based on various input data.

  In this embodiment, the parameters used in the analysis function for analyzing the degree of metal corrosion are meteorological data obtained by observing at the observation point, and the actual measurement obtained by actually measuring the degree of metal corrosion at the actual measurement point. Based on the data and these measured points and the position data of the observation points, the calculation points are calculated and stored in advance, and the analysis points for analyzing the degree of metal corrosion according to the selection operation on the map data displayed on the screen are specified. Then, based on the meteorological data observed at observation points located around the analysis point, the position data of the analysis point and the observation point, and the analysis function using the parameters, the parameters used in the analysis are obtained. The degree of metal corrosion at the analysis point is analyzed and displayed on the screen.

Next, the configuration of the corrosion analysis system 1 according to the present embodiment will be described with reference to FIG.
The corrosion analysis system 1 includes, as main functional units, a data input unit 11, a data storage unit 12, a learning unit 20, an analysis unit 30, an operation input unit 13, an analysis control unit 14, a display control unit 15, and a screen display unit. 16 is provided.

  The data input unit 11 uses a data communication device that performs data communication with an external device (not shown), or an operation input device such as a keyboard that detects an operator's data input operation, for analysis processing of metal corrosion. It has a function of inputting various processing data to be used and storing it in the data storage unit 12. The main processing data are map data for selecting analysis points for analyzing the degree of metal corrosion, and wind direction, wind speed, temperature, precipitation at multiple observation points located around the analysis points for corrosion analysis, And meteorological data consisting of the number of condensation days, and position data indicating the positional relationship between analysis points and observation points. The number of condensation days is calculated from the water vapor pressure and the temperature.

The data storage unit 12 includes a storage device such as a hard disk semiconductor memory and has a function of storing various types of data and programs used for processing operations in each functional unit in addition to various types of processing data input by the data input unit 11. is doing.
The operation input unit 13 includes an operation input device such as a keyboard and a mouse, and has a function of detecting and outputting an operator's operation.

  The learning unit 20 uses meteorological data obtained by observing the parameters used in the analysis function for analyzing the degree of metal corrosion at the observation point, and actual measurement data obtained by actually measuring the degree of metal corrosion at the actual measurement point. And a function for precalculating and accumulating based on the actual measurement points and the position data of the observation points.

  The analysis unit 30 is based on meteorological data observed at observation points located around the analysis point specified by the analysis control unit 14, the analysis point and the position data of the observation point, and an analysis function using parameters. And has a function of analyzing the degree of metal corrosion at the analysis point.

  The analysis control unit 14 reads the map data from the data storage unit 12, displays it on the screen display unit 16 via the display control unit 15, and specifies the analysis point according to the selection operation on the map data displayed on the screen. And a function for acquiring the parameters used in the analysis from the learning unit 20. At this time, the analysis control unit calculates a later-described variable value related to the analysis point from the weather data stored in the data storage unit 12 as a function of acquiring the parameter corresponding to the analysis point from the learning unit, and It has a function of acquiring a parameter corresponding to a value from the learning unit 20.

In response to an instruction from the analysis control unit 14, the display control unit 15 performs an operation menu, an analysis result obtained by the analysis unit 30, or the like based on various information such as an operation menu or an analysis result obtained by the analysis unit 30. Is generated and displayed on the screen display unit 16.
The screen display unit 16 includes a screen display device such as an LCD, and has a function of displaying the screen data generated by the display control unit 15 on the screen.

[Learning Department]
Next, the configuration of the learning unit 20 will be described with reference to FIG. FIG. 2 is a block diagram illustrating the configuration of the learning unit.
The learning unit 20 includes a data input unit 21, a data storage unit 22, a statistical processing unit 23, an analysis function learning unit 24, a parameter storage unit 25, and a parameter output unit 26 as main functional units.

  The data input unit 21 uses a data communication device that performs data communication with an external device (not shown), or an operation input device such as a keyboard that detects an operator's data input operation, to perform parameter calculation processing of an analysis function It has a function of inputting various processing data used in the data storage and storing it in the data storage unit 22. The main processing data are meteorological data consisting of wind direction, wind speed, temperature, precipitation, and condensation days at multiple observation points located around the analysis point where corrosion analysis is performed, and actual measurements located around the analysis point. There are actually measured sea salt particle amounts and measured corrosion rates measured at points, and position data indicating the positional relationship between analysis points and observation points. The number of condensation days is calculated from the water vapor pressure and the temperature.

  The data storage unit 22 includes a storage device such as a semiconductor memory such as a hard disk, and has a function of storing various data and programs used for processing operations in each functional unit in addition to various processing data input by the data input unit 21. is doing.

  The statistical processing unit 23 has a function of performing statistical processing such as calculation of statistical data such as an average value and standard deviation and interpolation of missing data for the processing data input by the data input unit 21.

  The analysis function learning unit 24 is obtained by observing the parameters used in the analysis function for analyzing the degree of metal corrosion at the observation point and the meteorological data obtained at the observation point and the degree of metal corrosion at the actual measurement point. Based on the actual measurement data and the position data of the actual measurement points and the observation points, for example, a function of calculating in advance by a nonlinear least square method using a robust function, and a function of storing the obtained parameters in the parameter storage unit 25 have. At this time, the analysis function learning unit 24 calculates a variable value to be a variable of the analysis function from the meteorological data obtained by observation at the observation point and the position data indicating the positional relationship between the observation point and the actual measurement point, When accumulating the obtained parameter, it has a function of accumulating the parameter in association with the variable value used for calculating the parameter.

The parameter storage unit 25 includes a storage device such as a hard disk semiconductor memory, and has a function of storing the parameter obtained by the analytic function learning unit 24 in association with the variable value used for calculating the parameter. .
The parameter output unit 26 has a function of selecting a parameter corresponding to the variable value designated by the analysis control unit 14 from the parameter storage unit 25 and a function of outputting the selected parameter to the analysis control unit 14.

[Analysis Department]
Next, the configuration of the analysis unit 30 will be described with reference to FIG. FIG. 3 is a block diagram illustrating the configuration of the analysis unit.
The analysis unit 30 includes a data input unit 31, a data storage unit 32, an analysis function unit 33, an analysis result storage unit 34, and an analysis result output unit 35 as main functional units.

  The data input unit 31 uses a data communication device that performs data communication with an external device (not shown) or an operation input device such as a keyboard that detects an operator's data input operation to analyze metal corrosion. It has a function of inputting various processing data to be used and storing it in the data storage unit 32. The main processing data are meteorological data consisting of wind direction, wind speed, temperature, precipitation, and condensation days at multiple observation points located around the analysis point where the corrosion analysis is performed, and the positional relationship between the analysis point and the observation point. There is position data to show. The number of condensation days is calculated from the water vapor pressure and the temperature.

  The data storage unit 32 includes a storage device such as a semiconductor memory such as a hard disk, and has a function of storing various data and programs used for processing operations in each functional unit in addition to various processing data input by the data input unit 31. is doing.

  The analysis function unit 33 acquires the meteorological data obtained from the data storage unit 32 and observed at observation points located around the analysis point specified by the analysis control unit 14, the analysis point and the position data of the observation point, and parameters. And a function of analyzing the degree of metal corrosion at the analysis point and a function of accumulating the obtained analysis result in the analysis result storage unit 34. At this time, the analysis function unit 33 has a function of analyzing the amount of sea salt particles and the corrosion rate as the degree of metal corrosion.

The analysis result storage unit 34 includes a storage device such as a hard disk semiconductor memory and has a function of storing the analysis result obtained by the analysis function unit 33.
The analysis result output unit 35 has a function of outputting the analysis results accumulated in the analysis result accumulation unit 34 to the analysis control unit 14.

[Operation of First Embodiment]
Next, the operation of the corrosion analysis system 1 according to the present embodiment will be described with reference to FIG. FIG. 4 is a flowchart showing the corrosion analysis process.
The corrosion analysis system 1 executes the corrosion analysis process of FIG. 4 when analyzing the degree of metal corrosion at an arbitrary analysis point. At this time, it is assumed that the learning unit 20 has previously stored parameters used for the corrosion analysis at the analysis point.

  First, the data input unit 11 is various processing data used for analysis processing of metal corrosion, here, map data for selecting an analysis point for analyzing the degree of metal corrosion, and a position around the analysis point for performing corrosion analysis. Weather data including wind directions, wind speeds, temperatures, precipitation amounts, and condensation days at a plurality of observation points, and position data indicating the positional relationship between analysis points and observation points are input (step 100) to the data storage unit 12 Save (step 101).

  Subsequently, the analysis control unit 14 reads out map data from the data storage unit 32 in accordance with an operator instruction input from the operation input unit 13, displays it on the screen display unit 16, and displays the map data displayed on the screen. The analysis point is specified in accordance with the selection operation with the mouse at (step 102).

  Next, the analysis control unit 14 acquires parameters used for analysis at the analysis point from the learning unit 20 (step 103). At this time, the analysis control unit 14 acquires the observation data of the observation points located around the analysis point and the position data indicating the positional relationship between the analysis points and these observation points from the data storage unit 12, and these observations. Based on the data and the position data, a variable value that is a variable of the analysis function is calculated, and a parameter corresponding to the variable value is acquired from the learning unit 20.

  These variable values differ depending on the corrosion type to be analyzed. For example, when analyzing the amount of sea salt particles, the distance from the analysis point to the coast, the wind direction and the wind speed at the analysis point are calculated as variable values. Further, when analyzing the corrosion rate, the memory, precipitation, dew condensation days, and sea salt particle amount at the analysis point are calculated as variable values. At this time, the amount of sea salt particles observed at the observation point may be used.

  Thereafter, the analysis unit 30 responds to an analysis instruction from the analysis control unit 14, meteorological data observed at observation points located around the analysis point specified by the analysis control unit 14, the analysis point, and the observation point. The degree of metal corrosion at the analysis point is analyzed based on the position data and the analysis function using the parameters acquired from the learning unit 20 by the analysis control unit 14 (step 104). The point position data and parameters are notified from the analysis control unit 14 to the analysis unit 30.

The analysis control unit 14 receives the analysis result from the analysis unit 30 and notifies the display control unit 15 as a display instruction.
In response to this instruction, the display control unit 15 generates screen data for displaying the analysis result obtained by the analysis unit 30 and displays it on the screen display unit 16 (step 105), and a series of corrosion analysis processes. Exit.

When performing analysis of metal corrosion, there is a method of performing analysis by designating an arbitrary range in addition to designating one analysis point.
In this case, in step 102 of FIG. 4, the analysis control unit 14 specifies analysis points in a plurality of areas provided by dividing the range in accordance with the range selection operation on the map data. In step 103, for each analysis point, parameters used in the analysis of metal corrosion at the analysis point are acquired from the learning unit 20.

In step 104, the analysis unit 30 analyzes the degree of metal corrosion for each analysis point based on parameters corresponding to the analysis point.
In step 105, the display control unit 15 generates distribution data indicating the distribution of metal corrosion within the range from the analysis result at each analysis point obtained by the analysis unit 30 in response to an instruction from the analysis control unit 14. The screen display unit 16 displays the screen.

[Sea salt particle amount calculation example]
Next, an example of calculating the amount of sea salt particles according to the present embodiment will be described using mathematical expressions.
Sea salt particles ride on the wind from the coast and fly inland, but the amount of particles is affected by distance, wind direction, and wind speed. Therefore, if these distances, wind directions, and wind speeds at any point are obtained as variable values, the amount of sea salt particles at the point can be estimated. In the present embodiment, considering the fact that sea salt particles fly from a plurality of directions to an arbitrary point, the amount of sea salt particles obtained for each direction is totaled. In addition, since each azimuth | direction and a wind direction differ, the distance from the coast to the said point is correct | amended with the cosine of the relative angle which the said azimuth | direction and a wind direction make.

Based on such a model, the wind direction at an arbitrary time point t at an arbitrary point pc is set to w (pc, t), the wind speed at the point pc is set to v (pc, t), and the direction of the K azimuths in the direction k. When the distance from the point pc to the coast is dk (pc) and the parameters indicating the weighting factors of the terms are e, f, g, h, the sea salt particle amount s (pc, t) at the point is It is obtained by an analytic function consisting of the following equation (1).

  Among these, the wind direction w (pc, t) and the wind speed v (pc, t) are obtained by changing the meteorological data observed at a plurality of observation points ps around the point pc to the distance between the point pc and the observation point ps. Based on this, a weighted average may be used. In the analysis unit 30, the amount of sea salt particles can be calculated using an analysis function such as Equation (1). In addition, about the calculation method of the amount of sea salt particles, it is not limited to this, You may use another calculation method.

  For the analytic function shown in equation (1), the unknown parameters e, f, and f are obtained by fitting the variable value consisting of the distance, wind direction, and wind speed at an arbitrary point and the sea salt particle amount measured at that time. g and h can be specified. Specifically, based on the nonlinear least square method using a robust function, the amount of sea salt particles may be repeatedly calculated by changing the value of each parameter until the repetition error becomes less than the threshold value. In addition, the optimum parameter can be efficiently identified by changing the coefficient in the robust function stepwise in accordance with the number of iterations. In this way, the learning unit 20 specifies the parameters.

[Corrosion rate calculation example]
Next, the calculation example of the corrosion rate concerning this Embodiment is demonstrated using numerical formula.
The rate of metal corrosion is affected by the atmospheric environment, especially temperature, rainfall, condensation, and even the amount of sea salt particles. Therefore, if the temperature, rainfall, condensation, and sea salt particle amount at any point are obtained as variable values, the corrosion rate at the point can be estimated.

Based on such a model, the average temperature at an arbitrary point pc at an arbitrary period m is Tav (pc, m), the precipitation at the point pc at the corresponding period m is Psu (pc, m), and the point pc The number of days of dew condensation in the period m is C (pc, m), the amount of sea salt particles in the period m at the point pc is Sav (pc, m), and the parameters indicating the weighting factors of the terms are a, b, In the case of c, d, e, the corrosion rate R (pc, m) at the point is obtained by an analytical function consisting of the following equation (2).

  Among these, for average temperature Tav (pc, m), precipitation Psu (pc, m), and condensation days C (pc, m), meteorological data observed at a plurality of observation points ps located around the point pc. May be weighted average based on the distance between the point pc and the observation point ps. Also, the condensation days C (pc, m) can be calculated from the average water vapor pressure and the temperature. The analysis unit 30 can calculate the corrosion rate by using an analysis function such as Expression (2). In addition, about the calculation method of a corrosion rate, it is not limited to this, You may use another calculation method.

  In addition, for the analytic function shown in Equation (2), unknown parameters a and b are obtained by fitting a variable value composed of average temperature, precipitation, and number of condensation days at an arbitrary point and the actually measured corrosion rate. , C, d, e can be specified. Specifically, based on the nonlinear least square method using a robust function, the corrosion rate may be repeatedly calculated by changing the value of each parameter until the repetition error becomes less than the threshold value. In addition, the optimum parameter can be efficiently identified by changing the coefficient in the robust function stepwise in accordance with the number of iterations. In this way, the learning unit 20 specifies the parameters.

[Screen display example]
Next, a screen display example in the corrosion analysis system 1 according to the present embodiment will be described with reference to the drawings.
FIG. 5 is a setting screen example of the corrosion analysis process. Here, as an example of analyzing the corrosion state in the vicinity of Choshi, Chiba, map data in the vicinity of Choshi, Chiba is displayed on the screen. Each operation of enlargement, reduction, and scrolling of the map for selecting the analysis point can be efficiently performed by a mouse operation. On this screen, operation symbols for performing various settings related to the corrosion analysis processing by mouse operation are arranged on a toolbar on the upper side of the screen.

  In FIG. 5, the image file operation button 5A is an operation symbol for outputting the displayed map and the result to the image file. The print button 5B is an operation symbol for printing the displayed map. The map moving button 5C is an operation symbol for quickly moving on the map by specifying latitude and longitude. The analysis type selection box 5D is an operation symbol for selecting an analysis type such as the amount of sea salt particles and the corrosion rate. The analysis range selection box 5E is an operation symbol for setting a method for selecting an analysis target. The analysis density selection box 5F is an operation symbol for selecting an analysis density when performing range analysis.

  The distance restriction selection box 5G is an operation symbol for selecting a distance restriction from the coast when performing range analysis. The analysis execution button 5H is an operation symbol for starting the analysis process under the set analysis conditions. The weather information display button 5I is an operation symbol for displaying weather data when one-point analysis is performed. The region selection box 5J is an operation symbol for selecting the region of the analyzed data. The data reading button 5K is an operation symbol for reading analyzed data. The scale change bar 5L is an operation symbol for changing the display scale of the map.

  FIG. 6 is an example of an analysis result screen at the time of one-point analysis. Here, a case where corrosion is analyzed at one analysis point is shown as an example, and the fact that the distance from the analysis point to the coast is automatically searched for 16 azimuths extends radially from the analysis point to each azimuth. It is displayed as a straight line. At this time, when the distance between the analysis point and the coast exceeds 50 km, a straight line is not displayed. In this example, the west direction is not displayed. In addition, weather stations close to the analysis point can be displayed as necessary. Further, the distance from the coastline, the latitude, and the longitude can be displayed as the message 6A.

  FIG. 7 is an example of a weather data display screen. Here, meteorological data at the three nearest weather stations located around any specified point are displayed. In this case, the average temperature of the month, the amount of precipitation, the number of condensation days, the wind direction at the time of maximum wind speed observation and the average wind speed of the day are displayed as weather data. Analysis of the weather data is visualized by icons to improve the efficiency of analysis. In FIG. 7, the latitude and longitude of the three weather stations are also displayed.

  In FIG. 7, the temperature icon 7 </ b> A is a symbol indicating the average temperature for the month of the month. The precipitation icon 7B is a symbol indicating the precipitation amount for one month in the corresponding month. The condensation days icon 7C is a symbol indicating the number of days of condensation for one month of the month. The wind direction icon 7D is a symbol indicating the wind direction at the maximum wind speed of each day included in the month and the average wind speed of the day.

FIG. 8 is an example of an analysis period setting screen. Here, in addition to the start date and end date of the analysis period, operation symbols for setting the analysis period are arranged for each of the sea salt particle amount, the corrosion rate, the corrosion amount, and the remaining life. Thereby, it is possible to easily change the start date and the end date of the past meteorological data used for analysis within the range of the database.
FIG. 9 is an example of an analysis equipment setting screen. Here, operation symbols for setting the ground height, material, and thickness of the equipment to be analyzed are arranged. Thereby, the conditions regarding the difference in the height of the equipment (the ground height), the difference in the materials such as galvanizing and iron, and the initial plating thickness can be freely changed.

  FIG. 10 is an example of a legend setting screen for displaying analysis results. Here, for each of the amount of sea salt particles, the corrosion rate, the amount of corrosion, and the remaining life, operation symbols for setting a numerical range and a display color thereof as legends are arranged. Thereby, as a legend, a display color can be assigned for each range of numerical values regarding the amount of particles, the corrosion rate, the corrosion amount, and the remaining life, and the amount related to corrosion can be analyzed from various viewpoints.

  FIG. 11 is an example of an output screen for the analysis result of the amount of sea salt particles. Here, an example is shown in which weather conditions and a map are selected and the amount of sea salt particles is analyzed at a certain analysis point. The latitude, longitude, particle amount, and distance from the coast of the analysis point can be displayed as a message by placing the mouse at the analysis point. When you move the mouse, the message disappears and you can see the place names and road conditions on the original map.

  FIG. 12 is an example of an analysis result screen at the time of range analysis. Here, the analysis results regarding the amount of sea salt particles are displayed under a legend that has been set and defined in advance, and in particular, the case where the analysis density is in units of 500 m and 2 km is shown as an example. Since the calculation time and calculation cost depend on the analysis density, the map is expanded or reduced to set the analysis range in order to obtain an appropriate calculation time and calculation cost that meets the user's requirements. The analysis density can be changed and selected in various ranges on the system by using means capable of performing scrolling efficiently by operating the mouse.

[Effect of the first embodiment]
As described above, in the present embodiment, the learning unit 20 uses the meteorological data obtained by observing the parameters used in the analysis function for analyzing the degree of metal corrosion at the observation point and the metal corrosion at the measurement point. Based on the actual measurement data obtained by actually measuring the degree, and the actual measurement points and the position data of the observation points, the calculation is stored in advance and the analysis control unit 14 selects the map data displayed on the screen. The analysis point for analyzing the degree of metal corrosion is identified according to the operation, the parameters used in the analysis are acquired from the learning unit, and in the analysis unit 30, meteorological data observed at observation points located around the analysis point The degree of metal corrosion at the analysis point is analyzed and displayed on the screen based on the position data of the analysis point and the observation point and the analysis function using the parameters.

  Thereby, the calculation of the parameter used in the analytic function and the calculation of the estimated value using the obtained parameter can be performed at once. Further, it is not necessary to input the latitude and longitude of each point for the analysis point, and any point can be selected as the analysis point by a selection operation on the map data displayed on the screen. Therefore, it is possible to obtain an estimated value such as a corrosion rate at an arbitrary point by an extremely simple operation.

  Further, in the present embodiment, the analysis control unit 14 specifies analysis points in a plurality of areas provided by dividing the range according to the range selection operation on the map data, and for each analysis point. The parameter used in the analysis of the metal corrosion at the analysis point is acquired from the learning unit, and the analysis unit 30 analyzes the degree of metal corrosion for each analysis point based on the parameter corresponding to the analysis point, and the display control unit May generate distribution data indicating the distribution of the metal corrosion within the range from the analysis result at each analysis point obtained by the analysis unit and display it on the screen. Thereby, the distribution situation of the degree of metal corrosion in an arbitrary range can be easily grasped.

  In the present embodiment, the learning unit 20 accumulates the variable values used for calculation of the parameters in association with each parameter, and the data accumulation unit 12 observes the observation points located around the analysis point. The stored weather data is stored in advance, and when the analysis control unit 14 acquires the parameter corresponding to the analysis point from the learning unit 20, the variable value related to the analysis point is calculated from the weather data stored in the data storage unit 12. And since the parameter corresponding to the said variable value was acquired from the learning part, the parameter optimal for an analysis point can be selected easily and accurately.

[Second Embodiment]
Next, a corrosion analysis system 1 according to a second embodiment of the present invention will be described with reference to FIG. FIG. 13 is a block diagram illustrating a configuration of a corrosion analysis system according to the second embodiment.
In the present embodiment, a mode in which the learning unit 20 and the analysis unit 30 are distributed and arranged as separate devices in the corrosion analysis system 1 will be described.

In the present embodiment, the learning unit 20 includes a computer such as a server device as a whole, and is connected to the corrosion analysis control device 10 via a communication network 50 such as the Internet or a LAN. The learning unit 20 has a configuration equivalent to that of FIG.
The analysis unit 30 is composed of a computer such as a server device as a whole, and is connected to the corrosion analysis control device 10 via the communication network 50. The analysis unit 30 has a configuration equivalent to that of FIG.

The corrosion analysis control device 10 includes a computer such as a server device as a whole, and has a configuration other than the learning unit 20 and the analysis unit 30 from the configuration of FIG. 1 described above.
The corrosion control unit 14 performs data communication with the learning unit 20 via the communication network 50 to acquire parameters relating to the analysis point from the learning unit 20 and performs data communication with the analysis unit 30 via the communication network 50. Thus, the analysis result is acquired from the analysis unit 30.

[Effect of the second embodiment]
As described above, since the learning unit 20 and the analysis unit 30 are distributed on the communication network 50 as separate devices, the learning unit 20 and the analysis unit 30 can be accessed from the plurality of corrosion analysis control devices 10. Therefore, it is possible to construct a corrosion analysis system 1 that is versatile and extremely convenient.

[Extended embodiment]
The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, each embodiment can be implemented in any combination within a consistent range.

  DESCRIPTION OF SYMBOLS 1 ... Corrosion analysis system, 10 ... Corrosion analysis control apparatus, 11 ... Data input part, 12 ... Data storage part, 13 ... Operation input part, 14 ... Analysis control part, 15 ... Display control part, 16 ... Screen display part, 20 ... Learning unit, 21 ... Data input unit, 22 ... Data storage unit, 23 ... Statistical processing unit, 24 ... Analysis function learning unit, 25 ... Parameter storage unit, 26 ... Parameter output unit, 30 ... Analysis unit, 31 ... Data input Reference numeral 32: Data storage unit 33: Analysis function unit 34: Analysis result storage unit 35: Analysis result output unit 50: Communication network

Claims (6)

A data storage unit in which map data for selecting analysis points for analyzing the degree of metal corrosion is stored in advance;
Parameters used in the analytical function for analyzing the degree of metal corrosion, meteorological data obtained by observing at the observation point, actual measurement data obtained by actually measuring the degree of metal corrosion at the measurement point, and these Based on the actual measurement point and the position data of the observation point, a learning unit that calculates and accumulates in advance,
An analysis point for analyzing the degree of metal corrosion according to the selection operation on the map data displayed on the screen, and an analysis control unit for acquiring the parameters used in the analysis from the learning unit;
Based on the meteorological data observed at observation points located around the analysis point specified by the analysis control unit, the analysis point and the position data of the observation point, and the analysis function using the parameters, An analysis unit for analyzing the degree of metal corrosion at the analysis point;
A corrosion control system comprising: a display control unit that generates screen data indicating the analysis result obtained by the analysis unit and displays the screen data on the screen. The corrosion analysis system according to claim 1,
The analysis control unit identifies analysis points in a plurality of areas provided by dividing the range according to a range selection operation on the map data, and for each analysis point, the metal at the analysis point Obtain the parameters used in the analysis of corrosion from the learning unit,
For each analysis point, the analysis unit analyzes the degree of metal corrosion based on the parameter corresponding to the analysis point,
The display control unit generates distribution data indicating the distribution of the metal corrosion within the range from the analysis result at each analysis point obtained by the analysis unit, and displays it on the screen. . In the corrosion analysis system according to claim 1 or 2,
For each parameter, the learning unit associates and accumulates variable values used for calculation of the parameter,
The data storage unit stores in advance the meteorological data observed at observation points located around the analysis point,
When the analysis control unit obtains the parameter corresponding to the analysis point from the learning unit, the analysis control unit calculates the variable value related to the analysis point from the weather data stored in the data storage unit, and the variable value A corrosion analysis system characterized in that the corresponding parameter is acquired from the learning unit. A data storage step in which map data for selecting analysis points for analyzing the degree of metal corrosion is stored in advance;
Parameters used in the analytical function for analyzing the degree of metal corrosion, meteorological data obtained by observing at the observation point, actual measurement data obtained by actually measuring the degree of metal corrosion at the measurement point, and these A learning step for calculating and accumulating in advance based on the actual measurement point and the position data of the observation point;
An analysis control step for identifying an analysis point for analyzing the degree of metal corrosion according to a selection operation on the map data displayed on the screen, and acquiring the parameter used in the analysis from the learning step;
Based on the meteorological data observed at observation points located around the analysis point identified in the analysis control step, the analysis point and the position data of the observation point, and the analysis function using the parameters, An analysis step for analyzing the degree of the metal corrosion at the analysis point;
A corrosion control method comprising: a display control step of generating screen data indicating the analysis result obtained in the analysis step and displaying the screen data. In the corrosion analysis method according to claim 4,
In the analysis control step, according to a range selection operation on the map data, an analysis point is specified in each of a plurality of areas provided by dividing the range, and for each analysis point, the metal at the analysis point is specified. Obtaining the parameters used in the analysis of corrosion from the learning step,
The analysis step includes, for each analysis point, analyzing the degree of the metal corrosion based on the parameter corresponding to the analysis point,
The display control step includes a step of generating distribution data indicating a distribution of the metal corrosion within the range from the analysis result at each analysis point obtained in the analysis step and displaying the distribution data on a screen. Corrosion analysis method. In the corrosion analysis method according to claim 4 or 5,
The learning step includes, for each parameter, a step of associating and storing a variable value used for calculating the parameter,
The data accumulation step includes the step of preliminarily accumulating meteorological data observed at observation points located around the analysis point,
In the analysis control step, when the parameter corresponding to the analysis point is acquired from the learning step, the variable value relating to the analysis point is calculated from the weather data stored in the data storage step, and the variable value And a step of obtaining a parameter corresponding to the learning step from the learning step.

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