Temperature environment diagnostic device and temperature environment diagnostic method for factory

Abstract

To provide a temperature environment diagnostic device and a temperature environment diagnostic method for a factory that are capable of easily identify the locations of factors that may cause temperature changes in the installation environment of equipment in the factory.SOLUTION: A temperature environment diagnostic device comprises: a plurality of temperature sensors that acquire temperature information of machining centers; a position information acquisition unit 10 that acquires installation position information and installation direction information of the machining centers in the factory; a temperature difference change amount calculation unit 11 that uses the temperature information to calculate an amount of change in temperature difference among the temperature sensors; a spatial direction vector calculation unit 12 that uses the temperature information and the calculated amount of change in temperature difference to calculate a spatial direction vector that indicates a direction in which a factor that may cause the change in the temperature difference for the machining center is presumed to exist; and a presentation unit 13 that presents the spatial direction vector of the machining center in the factory from the calculated spatial direction vector of the machining center and the acquired installation position information and installation direction information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a factory temperature environment diagnostic device and a temperature environment diagnostic method for diagnosing the temperature environment in a factory where equipment including machine tools is installed. [Background technology]

[0002] Machine tools, measuring devices, and other equipment are affected by temperature changes caused by a variety of factors. For example, when machining using a machine tool, thermal displacement occurs in the machine tool due to heat generated by the spindle, heat generated by the feed axis, and temperature changes in the installation environment. Such thermal displacement changes the relative position between the workpiece and the tool cutting edge, and if thermal displacement occurs during machining, the machining accuracy of the workpiece will decrease.

[0003] Thermal displacement compensation, which estimates the magnitude of thermal displacement and changes the amount of movement of each axis, is an effective and widely known technique for suppressing the deterioration of machining accuracy due to thermal displacement of machine tools. The magnitude of thermal displacement is estimated from temperature information obtained by a temperature sensor attached to the machine tool. However, there are limits to the accuracy of thermal displacement compensation, and errors may occur, especially when there are large temperature changes in the environment where the machine tool is installed.

[0004] For this reason, measures to be taken when there are large temperature changes in the environment in which a machine tool is installed are being studied.For example, Patent Document 1 discloses a method in which the machining accuracy of the machine is diagnosed from the temperature measured by a temperature sensor attached to the machine tool, and a decrease in machining accuracy is predicted, thereby encouraging the operator to calibrate the machine.

[0005] Patent Document 2 discloses a technique for diagnosing the thermal environment of a machine by attaching temperature sensors to the upper, middle, and lower parts of the machine and based on the temperature change range and temperature change rate over a predetermined period based on temperature information acquired by the temperature sensor attached to the middle part, and the fluctuation range over a predetermined period of the upper and lower temperature difference, which is the difference between the temperature information acquired by the temperature sensor attached to the upper part and the temperature information acquired by the temperature sensor attached to the lower part. Furthermore, a technique is disclosed for displaying a message indicating the current state of the thermal environment of the machine and countermeasures when the thermal environment of the machine is diagnosed as being unfavorable for achieving the desired machining accuracy. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2022-139266 [Patent Document 2] Patent No. 6558818 Summary of the Invention [Problem to be solved by the invention]

[0007] The method described in Patent Document 1 only suggests the timing of machine calibration when there is a large change in temperature in the installation environment of the machine tool. Therefore, the method described in Patent Document 1 cannot identify the cause of the large change in temperature in the installation environment of the factory where the machine tool is installed. Therefore, in order to identify the cause of the large change in temperature in the installation environment, an operator needs to investigate the area around the machine tool based on experience and intuition. In other words, the method relies heavily on the operator's ability, such as experience and intuition, and there is a problem in that it takes time to identify the cause of the large change in temperature in the installation environment.

[0008] In addition, in Patent Document 2, if the temperature environment is diagnosed as being unfavorable for achieving the desired machining accuracy, a message is displayed indicating the current environmental temperature of the machine and measures to be taken. However, the message does not indicate where the measures should be taken. Therefore, it is not possible to determine where around the machine the measures should be taken. Therefore, there has been a demand for a method for easily identifying the specific location in a factory where equipment such as a machine tool is installed, in order to determine the factors that affect the temperature change in the installation environment of the equipment.

[0009] Therefore, the present disclosure has been made in consideration of the above-mentioned problems, and aims to provide a factory temperature environment diagnostic device and a temperature environment diagnostic method that can easily identify the location of specific factors that cause temperature changes in the installation environment of factory equipment such as machine tools in the factory where the equipment is installed. [Means for solving the problem]

[0010] In order to achieve the above object, a first configuration of the present disclosure is characterized by including a temperature information acquisition unit that acquires temperature information at two or more positions in equipment installed in a factory; a position information acquisition unit that acquires installation position information and installation direction information of the equipment in the factory; a temperature difference change amount calculation unit that calculates a change in temperature difference at two or more positions in the equipment using the acquired temperature information; a spatial direction vector calculation unit that calculates a spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment is estimated to exist using the acquired temperature information and the calculated change in temperature difference; and a presentation unit that presents the spatial direction vector of the equipment in the factory based on the calculated spatial direction vector of the equipment and the acquired installation position information and installation direction information. Another aspect of the first configuration of the present disclosure is characterized in that, in the above configuration, the facility is a machine tool or a measuring device. Another aspect of the first configuration of the present disclosure is characterized in that, in the above configuration, the temperature information acquisition unit is arranged at at least one pair of positions on the top and bottom, left and right sides, and front and back of the equipment, and the temperature difference change calculation unit calculates at least one of the change in temperature difference between the top and bottom of the equipment, the change in temperature difference between the left and right sides, and the change in temperature difference between the front and back. Yet another aspect of the first configuration of the present disclosure is characterized in that, in the above configuration, the spatial direction vector comprises a temperature rise spatial direction vector indicating a direction in which a factor causing a temperature change due to a temperature rise is presumed to exist, and a temperature fall spatial direction vector indicating a direction in which a factor causing a temperature change due to a temperature fall is presumed to exist. A second configuration of the present disclosure is characterized in that temperature information is acquired at two or more positions in equipment installed in a factory, installation position information and installation direction information of the equipment in the factory are acquired, the acquired temperature information is used to calculate the amount of change in temperature difference at two or more positions in the equipment, and the acquired temperature information and the calculated amount of change in temperature difference are used to calculate a spatial direction vector indicating the direction in which a factor that causes a temperature change in the equipment is presumed to exist. [Effects of the Invention]

[0011] According to the present disclosure, the amount of change in temperature difference in the equipment body is calculated from temperature information acquired by multiple temperature information acquisition units installed in the equipment, and a spatial direction vector indicating the direction in which a factor causing a temperature change is estimated to exist in the equipment body is calculated based on the calculated amount of change in temperature difference. Furthermore, the calculated spatial direction vector is visualized using information on the installation location of the equipment in the factory. This makes it easy to identify the location of factors affecting temperature changes in factory equipment. Identifying the location of factors affecting temperature changes in the equipment can shorten the time it takes to discover the factors themselves, and further makes it easier to take measures to address the factors. Ultimately, this can prevent a decrease in the accuracy of the equipment. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is an explanatory diagram showing a factory in which a temperature environment diagnostic device according to the present disclosure is installed; [Figure 2] FIG. 1 is a block diagram showing a temperature environment diagnostic device. [Figure 3] FIG. 1 is a schematic diagram showing an example of installation of a temperature sensor in a machining center. [Figure 4] 1 is a flowchart illustrating an embodiment of a temperature environment diagnosis method according to the present disclosure. [Figure 5] 1 is a display screen showing a simplified view of a factory layout. [Figure 6] 10 is a display screen showing a screen that visualizes the results of a temperature environment diagnosis. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Fig. 1 is an explanatory diagram showing a factory in which a thermal environment diagnostic device is installed, Fig. 2 is a block diagram showing the thermal environment diagnostic device, and Fig. 3 is a schematic diagram showing an example of installation of a temperature sensor in a machining center. 1, three machining centers 2a, 2b, and 2c are installed in the factory 1. The factory 1 also has openable and closable shutters 30 and 31 and windows 40 and 41. The factory 1 is also equipped with a temperature environment diagnostic device A.

[0014] 2, the thermal environment diagnostic device A includes a temperature information acquisition unit, a position information acquisition unit 10, a temperature difference change amount calculation unit 11, a spatial direction vector calculation unit 12, and a presentation unit 13. The thermal environment diagnostic device A also includes a CPU and a memory connected to the CPU, and uses these to realize the processing in each of the above units.

[0015] The temperature sensors serving as temperature information acquisition units are attached to the machining center 2a. Specifically, as shown in FIG. 3, the machining center 2a is equipped with a temperature sensor 3a for measuring the temperature of the left side surface, a temperature sensor 4a for measuring the temperature of the right side surface, a temperature sensor 5a for measuring the temperature of the front surface, a temperature sensor 6a for measuring the temperature of the rear surface, a temperature sensor 7a for measuring the temperature of the lower portion, and a temperature sensor 8a for measuring the temperature of the upper portion. More specifically, the temperature sensors 3a-8a are positioned on the left, right, front, rear, lower, and upper portions of the machining center 2a where they are attached, so as to minimize the influence of heat generated by the moving parts of the machining center 2a. The moving parts refer to specific equipment that generates heat during operation and may affect the surrounding area, such as the spindle, rotating axes including the feed axis, the ATC (automatic tool changer), and the workpiece loading / unloading device.

[0016] Similar to the machining center 2a, temperature sensors 3b, 4b, 5b, 6b, 7b, and 8b are attached to the left side, right side, front, back, bottom, and top of the machining center 2b, respectively. Furthermore, temperature sensors 3c, 4c, 5c, 6c, 7c, and 8c are attached to the left side, right side, front, back, bottom, and top of the machining center 2c, respectively.

[0017] The temperature information measured by the temperature sensors 3a to 8a is linked to time information and stored in the NC unit 9a installed in the machining center 2a. The temperature information measured by the temperature sensors 3b to 8b is linked to time information and stored in the NC unit 9b installed in the machining center 2b. The temperature information measured by the temperature sensors 3c to 8c is linked to time information and stored in the NC unit 9c installed in the machining center 2c. The NC units 9a, 9b, and 9c each include a CPU and a memory connected to the CPU, and realize their operations by using these. Then, the NC units 9a, 9b, and 9c transmit the stored temperature information to a temperature information recording device 20, which will be described later.

[0018] The position information acquisition unit 10 acquires installation position information and installation direction information of various pieces of equipment including the machining centers 2a, 2b, and 2c in the factory 1 from a recording device (not shown). As will be described later, the temperature difference change amount calculation unit 11 appropriately calculates the temperature difference between the temperature sensors 3a and 4a, the temperature sensors 5a and 6a, and the temperature sensors 7a and 8a at opposing positions, such as the left and right sides, the front and back, and the bottom and top, of the machining center 2a, and calculates the amount of change in the temperature difference over a specified period of time.

[0019] Based on the change in temperature difference calculated by the temperature difference change amount calculation unit 11, the spatial direction vector calculation unit 12 calculates, with each of the machining centers 2a, 2b, and 2c as a base point, a spatial direction vector indicating the direction in which factors affecting the temperature change of the machining centers 2a, 2b, and 2c are estimated to exist. The presentation unit 13 includes a display (not shown) as a display device, and as described below, creates a diagram in which the calculated spatial direction vectors are superimposed on a layout diagram of the factory 1, and by presenting the created diagram to the worker, visualizes the direction in which factors that affect the temperature changes of the machining centers 2a, 2b, and 2c are presumed to exist.

[0020] The NC devices 9a, 9b, and 9c provided in the machining centers 2a, 2b, and 2c, respectively, are connected to a temperature information recording device 20. The temperature information recording device 20 acquires and collectively records the temperature information stored in the NC devices 9a, 9b, and 9c. The temperature information recording device 20 is also connected to a temperature environment diagnosis device A. That is, the temperature environment diagnosis device A has a temperature information acquisition unit via the temperature information recording device 20 and the NC devices 9a, 9b, and 9c.

[0021] As described above, the thermal environment diagnostic device A acquires the temperature information acquired by the temperature information acquisition unit, i.e., the temperature information of each part of the machining centers 2a, 2b, 2c recorded in the temperature information recording device 20, as well as the installation position information and installation direction information of the machining centers 2a, 2b, 2c in the factory 1. Furthermore, based on the acquired information, the thermal environment diagnostic device A performs a calculation process of spatial direction vectors and presents directions in which factors that affect temperature changes in the machining centers 2a, 2b, 2c in the factory 1 are presumed to exist. Therefore, the locations of factors that affect the temperature changes of the machining centers 2a, 2b, and 2c in the factory 1 can be easily identified.

[0022] Next, a method for diagnosing the temperature environment of the factory 1 performed by the temperature environment diagnosis device A will be described below. FIG. 4 is a flowchart showing a temperature environment diagnostic method for the factory 1 performed by the temperature environment diagnostic device A.

[0023] First, the amount of change in temperature difference between the left and right, front and rear, and top and bottom in the machining centers 2a, 2b, and 2c is calculated as S1. The temperature difference change amount calculation unit 11 acquires each piece of temperature information acquired by the temperature sensors 3a, 4a, 5a, 6a, 7a, and 8a in the machining center 2a from the temperature information recording device 20. Then, based on the temperature information acquired from the temperature information recording device 20, the temperature difference change amount calculation unit 11 calculates the temperature differences between the temperature sensors 3a and 4a, the temperature sensors 5a and 6a, and the temperature sensors 7a and 8a in opposing positions as follows. Furthermore, based on the calculated temperature differences, the amount of change in the temperature difference over a predetermined time is calculated.

[0024] The change in temperature difference between the left and right sides of machining center 2a, dT LRdiff In calculating (t), first, the difference T between the temperature information of the temperature sensor 3a and the temperature information of the temperature sensor 4a at time t is calculated using Equation 1. LRdiff (t) is calculated. Then, T at the reference time t0 is calculated using Equation 4. LRdiff (t0) and T at the current time t1 LRdiffThe difference from (t1) is the change dT LRdiff It is calculated as (t). The change in temperature difference between the front and rear of machining center 2a is dT. FBdiff In calculating (t), first, the difference T between the temperature information of the temperature sensor 3a and the temperature information of the temperature sensor 4a at time t is calculated using Equation 2. FBdiff (t) is calculated. Then, T at the reference time t0 is calculated using Equation 5. FBdiff (t0) and T at the current time t1 FBdiff The difference from (t1) is the change dT FBdiff It is calculated as (t). The change in temperature difference between the top and bottom of machining center 2a is dT. TUdiff In calculating (t), first, the difference T between the temperature information of the temperature sensor 3a and the temperature information of the temperature sensor 4a at time t is calculated using Equation 3. TUdiff (t) is calculated. Then, T at the reference time t0 is calculated using Equation 6. TUdiff (t0) and T at the current time t1 TUdiff The difference from (t1) is the change dT TUdiff It is calculated as (t).

[0025]

number

[0026] Next, the change in temperature difference between the left and right, front and rear, and top and bottom of machining center 2b and machining center 2c is calculated using the temperature information measured by temperature sensors 3b to 8b and the temperature information measured by 3c to 8c, using calculation formulas similar to equations 1 to 6.

[0027] Equations 1 to 6 are only an example of a calculation method for calculating the amount of change in temperature difference. Therefore, other calculation methods, such as using an approximation line based on the least squares method, may be used to calculate the amount of change in temperature difference. Furthermore, the amount of change in temperature difference may be calculated by averaging the temperature information acquired at predetermined time intervals and comparing the average values.

[0028] Next, in S2, the spatial direction vector calculation unit 12 calculates a spatial direction vector indicating a direction in which a factor affecting the temperature change of each of the machining centers 2a, 2b, and 2c is estimated to exist. First, in each of the temperature sensors 3a to 8a of the machining center 2a, the difference between the temperature information at the reference time t0 and the temperature information at the current time t1 is calculated as a change amount dT 3a (t), dT 4a (t), dT 5a (t), dT 6a (t), dT 7a (t), and dT 8a It is calculated as (t).

[0029]

number

[0030] Next, in the machining center 2a, a temperature rise spatial direction vector S is calculated, which indicates the direction in which factors that affect temperature changes due to temperature rises are estimated to exist. Furthermore, a temperature drop spatial direction vector T is calculated, which indicates the direction in which factors that affect temperature changes due to temperature drops are estimated to exist. First, a temperature rise spatial direction unit vector S, which indicates only the direction, is calculated. e Using Equation 13, the temperature drop spatial unit vector T e is calculated using Equation 14.

[0031]

number

[0032] In addition, in Equations 13 and 14, the superscript T means transposition. Furthermore, l, m, and n in equation 13 are expressed by equations 15, 16, and 17, respectively. Furthermore, u, v, and w in equation 14 are expressed by equations 18, 19, and 20, respectively.

[0033]

number

[0034]

number

[0035] Subsequently, the temperature rise spatial direction vector S is calculated using Equation 21. Furthermore, the temperature drop spatial direction vector T is calculated using Equation 22.

[0036]

number

[0037] Finally, in S3, the presentation unit 13 visualizes the results of the temperature environment diagnosis, i.e., the temperature rise spatial direction vector S and the temperature fall spatial direction vector T calculated in S2, as well as the installation location information and installation direction information of various equipment including the machining centers 2a, 2b, and 2c in the factory 1 obtained in S1, and displays them on a display. Figure 5 is a display screen that simply shows the layout and equipment of factory 1 based on the installation location information of various equipment and the factory installation method. The installation location information is expressed using coordinate values ​​X and Y, as shown in Figure 5. Figure 6 is a display screen in which the temperature rise spatial direction vector S calculated in S2 is shown as a diagonal arrow, and the temperature drop spatial direction vector T is shown as a white arrow, with the installation positions of the machining centers 2a, 2b, and 2c as the starting points, superimposed on the layout screen of factory 1 shown in Figure 5.

[0038] For example, suppose the shutter 30 is open, and the temperature of the machining centers 2a, 2b, and 2c in the factory 1 is decreasing due to the outside air being blown in. In such a situation, when the temperature environment diagnosis device A performs a temperature environment diagnosis for the factory 1 based on the above-described method, the display unit 13 displays the diagnosis result on the display, as shown in Fig. 6, that the temperature decrease spatial direction vector T for each of the machining centers 2a, 2b, and 2c all points near the lower right in Fig. 6. Therefore, the worker can easily infer that the factors affecting the temperature change due to the temperature decrease for the machining centers 2a, 2b, and 2c are located in the direction of the temperature decrease spatial direction vector T, i.e., near the lower right in Fig. 6.

[0039] Furthermore, because the shutter 30 is displayed near the bottom right of Figure 6, the worker can easily predict based on the inference that the shutter 30 is the factor affecting the temperature change due to a temperature drop in the machining centers 2a, 2b, and 2c. Then, by checking the site based on the prediction, the worker can easily identify the factor affecting the temperature change: the shutter 30 is open, and the outside air being blown in is causing the temperature drop in the machining centers 2a, 2b, and 2c in the factory 1. Therefore, in this case, by taking the measure of closing the shutter 30, it is possible to prevent temperature changes due to a temperature drop in the machining centers 2a, 2b, and 2c, and prevent a decrease in machining accuracy.

[0040] Figure 6 also presents the diagnosis result that the temperature rise spatial direction vector S for machining center 2c points upward in Figure 6. This indicates that it can be inferred that there is a factor above machining center 2c that affects the temperature change due to a temperature rise. Since machining center 2a is located at the point where temperature rise spatial direction vector S points, it can be easily inferred that machining center 2a is a factor that affects the temperature change due to a temperature rise for machining center 2c, and that the heat generated by machining center 2a affects the temperature change of machining center 2c. Even if the heat generated by machining center 2a is at a level that affects the machining accuracy of machining center 2c, it is easy to take measures to prevent a decrease in the machining accuracy of machining center 2c by changing the location of machining center 2a or machining center 2c. In this way, the temperature environment diagnostic device A can easily identify the location of factors that affect temperature changes in the machining centers 2a, 2b, and 2c, regardless of the operator's ability, such as experience or intuition. Therefore, if the location of the factor can be identified, the time required to discover the factor itself can be shortened, and it becomes easier to take measures to address the factor. Ultimately, this can prevent a decrease in the accuracy of the machining centers 2a, 2b, and 2c.

[0041] The thermal environment diagnostic device A having the above-described configuration includes temperature sensors 3a to 8a, 3b to 8b, and 3c to 8c that acquire temperature information at the left side, right side, front, back, bottom, and top of each of machining centers 2a, 2b, and 2c installed in a factory 1, a position information acquisition unit 10 that acquires installation position information and installation direction information of the machining centers 2a, 2b, and 2c in the factory 1, a temperature difference change amount calculation unit 11 that calculates the amount of change in temperature difference at the left side and right side, front and back, and bottom and top of each of the machining centers 2a, 2b, and 2c using the acquired temperature information, and a temperature difference change amount calculation unit 12 that calculates the amount of change in temperature difference at the left side and right side, front and back, and bottom and top of each of the machining centers 2a, 2b, and 2c using the acquired temperature information. The system is equipped with a spatial direction vector calculation unit 12 that calculates a temperature rise spatial direction vector S and a temperature drop spatial direction vector T that indicate the direction in which a factor that causes a temperature change in the machining centers 2a, 2b, and 2c is estimated to exist, using the obtained change in temperature difference, and a presentation unit 13 that presents the temperature rise spatial direction vector S and the temperature drop spatial direction vector T of the machining centers 2a, 2b, and 2c in the factory 1 based on the calculated temperature rise spatial direction vector S and temperature drop spatial direction vector T of the machining centers 2a, 2b, and 2c and the acquired installation position information and installation direction information.

[0042] Therefore, the amount of change in temperature difference in the machining centers 2a, 2b, and 2c is calculated from the temperature information of the temperature sensors 3a-8a, 3b-8b, and 3c-8c installed in the machining centers 2a, 2b, and 2c. Based on the calculated amount of change in temperature difference, a temperature rise spatial direction vector S and a temperature drop spatial direction vector T are calculated, indicating the direction in which factors causing temperature changes are estimated to exist for the machining centers 2a, 2b, and 2c. Furthermore, the calculated temperature rise spatial direction vector S and temperature drop spatial direction vector T are visualized using the installation location information of the machining centers 2a, 2b, and 2c in the factory 1. This makes it easy to identify the location of factors affecting temperature changes in the machining centers 2a, 2b, and 2c in the factory 1. Identifying the location of factors affecting temperature changes in the machining centers 2a, 2b, and 2c shortens the time required to identify the factors themselves and makes it easier to take measures to address the factors. As a result, it is possible to prevent a decrease in the accuracy of the machining centers 2a, 2b, and 2c.

[0043] The configuration of the factory temperature environment diagnostic device and temperature environment diagnostic method disclosed herein is not limited to the aspects described in the above embodiments, and can be modified as needed within the scope of the invention. For example, the number and location of the temperature information acquisition units are not limited as long as they are two or more and are arranged at at least one pair of positions on the top and bottom, left and right sides, and front and back of the equipment. In the embodiment, six temperature sensors are attached to one machining center, but the number of temperature sensors may be reduced and one temperature sensor may measure multiple locations. Specifically, in machining center 2a, temperature sensor 8a may be used to measure the left side and top. Furthermore, the number of installed temperature sensors may be increased and one location may be measured by multiple temperature sensors. Specifically, the average value of the temperatures measured by temperature sensors 4a, 6a, and 7a in FIG. 2 may be used as the temperature of the right side. Furthermore, temperature information may be calculated from the obtained measurements, or a sensor other than a temperature sensor may be used as the temperature information acquisition unit.

[0044] Furthermore, the equipment is not limited to machining centers, but may be other types of machine tools such as lathes and grinding machines, or measuring devices with at least one moving axis such as coordinate measuring machines, or other measuring devices that may experience various malfunctions, including thermal displacement, due to the influence of environmental temperature. The presentation unit may also display the calculated change in the temperature difference of the equipment on a display device. Furthermore, the display by the presentation unit is not limited to a two-dimensional diagram as shown in FIG. 5, but may also display a three-dimensional diagram. The installation position information may be displayed using coordinate values ​​X, Y, and Z according to the dimensions of the displayed drawing, or three-dimensional information may be presented on the two-dimensional diagram. Additionally, the installation position information may include an angle θ. Therefore, the installation position information of the machining center 2a shown in FIG. 5 may be expressed as X=1, Y=1, Z=0, θ=0.

[0045] Furthermore, as long as the thermal environment diagnostic device can execute the thermal environment diagnostic method of the present disclosure, it may be a standalone device, may include a temperature information recording device, or may be included in a specified computer installed in equipment such as an NC device. Furthermore, the thermal environment diagnostic device does not need to be installed within the factory, and may be installed in a completely separate location as long as it can obtain the necessary information and present the results to on-site workers via a specified communication means, for example. Furthermore, the objects for which the amount of change in temperature difference is calculated are not limited to opposing positions as in the embodiment, but may be adjacent positions, or the amount of change in temperature difference may be calculated between three or more positions. [Explanation of symbols]

[0046] 1··Factory, 2a-2c··Machining center (equipment), 3a-8a, 3b-8b, 3c-3c··Temperature sensor (temperature information acquisition unit), 9a-9c··NC device, 10··Equipment information acquisition unit, 11··Temperature difference change amount calculation unit, 12··Spatial direction vector calculation unit, 13··Presentation unit, A··Temperature environment diagnosis device.

Claims

1. a temperature information acquisition unit that acquires temperature information at two or more locations in equipment installed in a factory; a location information acquisition unit that acquires installation location information and installation direction information of the equipment in the factory; a temperature difference change amount calculation unit that calculates a change amount of a temperature difference between two or more positions in the facility using the acquired temperature information; a spatial direction vector calculation unit that calculates a spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment is estimated to exist, using the acquired temperature information and the calculated amount of change in the temperature difference; A factory temperature environment diagnosis device characterized by comprising a presentation unit that presents the spatial direction vector of the equipment in the factory based on the calculated spatial direction vector of the equipment and the acquired installation position information and installation direction information.

2. the temperature information acquisition units are arranged at at least one pair of positions on the upper and lower parts, the left and right sides, and the front and rear parts of the equipment, 2. The factory temperature environment diagnosis device according to claim 1, wherein the temperature difference change amount calculation unit calculates at least one of the amount of change in the temperature difference between the top and bottom of the equipment, the amount of change in the temperature difference between the left side and right side, and the amount of change in the temperature difference between the front and back.

3. 2. A factory temperature environment diagnosis device as described in claim 1, characterized in that the spatial direction vectors consist of a temperature rise spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment due to a temperature rise is estimated to exist, and a temperature drop spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment due to a temperature drop is estimated to exist.

4. 4. The factory temperature environment diagnostic device according to claim 1, wherein the facility is a machine tool or a measuring device.

5. Acquire temperature information at two or more locations in equipment installed in a factory; acquiring installation position information and installation direction information of the equipment in the factory; Using the acquired temperature information, calculate a change in temperature difference at two or more positions in the facility; A thermal environment diagnosis method characterized by using the acquired temperature information and the calculated amount of change in the temperature difference to calculate a spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment is presumed to exist.

6. The temperature information is acquired at least one set of positions on the top and bottom, the left and right sides, and the front and rear of the equipment; 6. The thermal environment diagnosis method according to claim 5, further comprising calculating at least one of a change in temperature difference between the upper and lower parts of the equipment, a change in temperature difference between the left and right sides of the equipment, and a change in temperature difference between the front and rear of the equipment.

7. The thermal environment diagnosis method according to claim 5, characterized in that the spatial direction vectors consist of a temperature rise spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment due to a temperature rise is estimated to exist, and a temperature fall spatial direction vector indicating a direction in which a factor that causes a temperature change in the equipment due to a temperature drop is estimated to exist.

8. 8. The thermal environment diagnosis method according to claim 5, wherein the facility is a machine tool or a measuring device.

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