JP4474368B2 - Data processing method and apparatus for molding machine - Google Patents

Description

  The present invention relates to a data processing method and apparatus for a molding machine suitable for use in obtaining and displaying statistical data from detection data relating to an operation state for each shot.

  Conventional injection molding machines sequentially detect physical quantities (detection data) corresponding to a plurality of different detection items related to the operation state for each shot, display them in real time using a trend graph, etc., and make the molding state more accurate and easy. In addition, statistical data is obtained from a plurality of detection data so that it can be grasped quickly, and this statistical data is also displayed. For example, JP-A-3-199025 discloses each set molding operation condition. A microcomputer for controlling the drive of each part of the molding machine based on the value and the measurement information from each sensor is provided. This microcomputer measures a plurality of predetermined monitor items for each shot during continuous automatic operation. In addition to having a function to capture and store data, the microcomputer integrates each monitor item that has been captured. And performs arithmetic processing, the measurement data processing device is disclosed in an injection molding machine to be output to the operation result printer or display device as a graph in the form of distribution can be visually recognized measurement data.

Japanese Patent Application Laid-Open No. 2004-155125 discloses a molding apparatus including various detectors that detect the state of a molding machine or peripheral devices that assist the operation of the molding machine, and a control device that takes in information related to the state from the detector. The display unit of the control device displays information in a graph or numerical value, and when a specific information range is specified in the graph or numerical value, statistical processing is performed on the specified specific information range. In addition, a molding information display method for a molding machine that performs display is disclosed.
Japanese Patent Laid-Open No. 3-199025 JP 2004-155125 A

  However, the conventional data processing method (apparatus) in the above-described injection molding machine has the following problems.

  First, the detection data (detection items) and statistical data have been diversified due to the diversification and simultaneous processing of the detection data due to the development of data processing technology. However, the conventional display method using simple display has a large amount of data. The number (number of items) cannot be handled accurately. For example, when there are 23 types of detection items, there are 253 combinations of statistical data related to the correlation, but with the simple display method, the correlation is easy and accurate, such as missing highly correlated data. And it cannot be grasped quickly.

  Second, the conventional display method using simple display cannot sufficiently grasp various and detailed information. That is, although the presence or absence of the correlation and the degree thereof can be grasped to some extent, it is not easy to grasp wider and deeper information such as the nature and tendency of the correlation or the relationship with other data.

  An object of the present invention is to provide a data processing method and apparatus for a molding machine that solves the problems existing in the background art.

  In order to solve the above-described problem, the data processing method of the molding machine according to the present invention sequentially detects physical quantities corresponding to a plurality of different detection items related to the operation state for each shot, and detects a plurality of detected physical quantities (detection data). When obtaining and displaying statistical data from the above, by changing the combination of two arbitrarily different detection items Hx, Hy..., Two or more correlation coefficients R... Between the respective detection data are obtained, and a predetermined reference value Rs or more is obtained. Are correlated quantitatively with the correlation coefficient R ... in ascending order or correlation coefficient R ... in ascending order, and the detection items Hx, Hy ... are made to correspond to the correlation coefficients R ... In addition to the display, a correlation diagram fr... Showing the distribution state of detection data corresponding to the correlation coefficients R... Is displayed together on the display screen Vc of the correlation coefficients R.

  In this case, according to a preferred aspect of the invention, when displaying the correlation coefficient, one or more specific detection items (parent items) Hxp... Are designated in advance, and this parent item Hxp. A mode in which only the correlation coefficient R ... related to Hy ... is displayed, one or more specific detection items (exclusion items) Ht ... are designated in advance, and the detection items Hx, Hy ... except the exclusion items Ht ... are designated. A mode in which only the related correlation coefficients R... Are displayed can be used. Further, the correlation coefficients R can be obtained from an arbitrary sampling range Ar designated for the shot.

  On the other hand, the data processing apparatus 1 for a molding machine according to the present invention provides a molding machine controller 2 having a computer function for controlling the molding machine M in order to solve the above-described problems. Detection means 3 for sequentially detecting physical quantities corresponding to detection items, storage means 4 for storing physical quantities (detection data) detected by the detection means 3, and statistical data obtained from the detection data stored in the storage means 4 A data processing device comprising a display means 5 for displaying, and by changing the combination of two arbitrarily different detection items Hx, Hy ... stored in the storage means 4, a correlation coefficient R ... between the detected data is obtained. For the correlation coefficient calculation processing means 6 obtained by two or more by the calculation processing, and for the correlation coefficients R. Only the correlation coefficient R... Which is equal to or greater than the set reference value Rs is quantitatively displayed in the order of the correlation coefficient R... Or in ascending order of the correlation coefficient, and the detection items Hx, Hy. And a display processing means 7 for displaying the correlation diagram fr... Showing the distribution state of the detection data corresponding to the correlation coefficient R... On the display screen Vc of the correlation coefficient R. It is characterized by that.

  In this case, according to a preferred aspect of the invention, the correlation coefficient calculation processing means 6 can be provided with a function for obtaining the correlation coefficients R in the arbitrary sampling range Ar for the shot designated by the sampling range designation means 11. Further, the display processing means 7 includes only the correlation coefficient R... Relating to one or more specific detection items (parent items) Hxp... Specified by the parent item specification means 13 and other corresponding detection items Hy. A function Fc to be displayed, a function to display only the correlation coefficient R... Relating to the detection items Hx, Hy... Excluding one or more specific detection items (exclusion items) Ht. Can be provided.

  According to the data processing method and apparatus 1 of the molding machine according to the present invention as described above, the following remarkable effects can be obtained.

  (1) By changing the combination of two arbitrarily different detection items Hx, Hy..., Two or more correlation coefficients R... Between the respective detection data are obtained, and each correlation coefficient R. Since the detected items Hx, Hy... Are displayed in correspondence with the correlation coefficients R..., The correlation R... Can be easily, accurately and quickly grasped, and data with strong correlation is missed. This makes it possible to deal with a large amount of data (number of items) accurately. In addition, it is easy to grasp wider and deeper information such as the nature and tendency of the correlation or the relationship with other data, and it is possible to sufficiently grasp various information.

  (2) Since the correlation coefficients R ... are displayed in descending order or correlation coefficient R ... in ascending order, the strength relationship of the correlation coefficients R ... can be easily and reliably grasped. In particular, if the correlation coefficients R are displayed in descending order, detection items having a strong correlation can be quickly grasped, and can be effectively used for setting molding conditions, setting a threshold for determining pass / fail, and the like. If they are displayed in order, it is possible to quickly detect that there is no correlation among detection items that are said to have a strong correlation, and it can be used effectively for abnormality detection. Further, since only the correlation coefficients R... That are equal to or greater than the preset reference value Rs are displayed, in particular, those having weak correlation coefficients R... Are excluded, and relatively strong correlation coefficients R. be able to.

  (3) Since the correlation diagram fr... Showing the distribution state of the detection data corresponding to the correlation coefficient R... Is displayed together on the display screen Vc of the correlation coefficient R. It can be observed at the same time, and more accurate and reliable correlation information can be obtained.

  (4) According to a preferred embodiment, when displaying the correlation coefficients R ..., the parent item Hxp ... is designated in advance, and only the correlation coefficients R ... related to the parent item Hxp ... and other corresponding detection items Hy ... If displayed, it is possible to easily and accurately grasp the correlation state focused on the specific parent item Hxp. Further, if the exclusion item Ht... Is specified in advance and only the correlation coefficients R... Relating to the detection items Hx, Hy... Excluding the exclusion item Ht. Can be eliminated. And since each such display mode can be selected as needed, usability and convenience can be improved more.

  (5) According to a preferred embodiment, if the correlation coefficient R is obtained from an arbitrary sampling range Ar designated for the shot, the correlation in the arbitrary sampling range Ar determined by the operator can be grasped. More accurate correlation information can be obtained for the operator.

  Next, the best embodiment according to the present invention will be given and described in detail with reference to the drawings.

  First, the configuration of an injection molding machine M including the data processing apparatus 1 according to the present embodiment will be described with reference to FIGS. 2 and 3.

  In FIG. 2, M indicated by an imaginary line is an injection molding machine, which includes a machine base Mb, an injection device Mi and a mold clamping device Mc installed on the machine base Mb. The injection device Mi includes a heating cylinder 21, an injection nozzle that does not appear in the drawing at the front end of the heating cylinder 21, and a hopper 22 that supplies material to the rear of the heating cylinder 21. On the other hand, the mold clamping device Mc includes a mold 23 composed of a movable mold and a fixed mold. Further, a side panel 24 is erected on the machine base Mb, and a display 25 using a color liquid crystal display or the like is disposed on the side panel 24. As shown in FIG. 3, the display 25 is provided with a touch panel 25t, and the display 25 including the touch panel 25t is connected to the controller main body 30 built in the machine base Mb.

  FIG. 3 is a block diagram of the molding machine controller 2. Reference numeral 31 denotes a CPU, and a chip set 33 is connected to the CPU 31 via an internal bus 32. Further, a bus line 34 using a local bus such as a PCI bus is connected to the chip set 33 to constitute an HMI (Human Machine Interface) control system. For this reason, the bus line 34 is connected with an internal memory 35 that collects various memories such as RAM and ROM. Further, the display unit 36 and the touch panel 25t are connected to the bus line 34 through a display interface 36, and a drive unit 39 that reads and writes data from and to a storage medium 38 such as a memory card through an input / output interface 37. Connecting.

  On the other hand, a bus line 40 similar to the bus line 34 is connected to the chip set 33 to constitute a PLC (programmable logic controller) control system. Therefore, the bus line 40 is provided with switching data Dd... Obtained from the switch group 41 including various switches and relays, etc., to the CPU 31 and an input / output interface for giving control command data Do... Obtained from the CPU 31 to the corresponding actuator. 42, a detection signal Sd... Obtained from a sensor group 43 including various sensors is converted from analog to digital and applied to the CPU 31, and control command data obtained from the CPU 31 is converted from digital to analog. An input / output interface 44 for applying So to the corresponding actuator is connected. Thus, a predetermined feedback control system and an open loop control system are configured.

  Therefore, the internal memory 35 stores the PLC program and the HMI program and various processing programs. The PLC program is software for realizing sequence operations of various processes in the injection molding machine M, monitoring of the injection molding machine M, etc., and the HMI program sets and displays operation parameters of the injection molding machine M, and injection. This is software for realizing display of operation monitoring data of the molding machine M and the like. These software are constructed as a unique architecture of the injection molding machine M on which the molding machine controller 2 is mounted, and in particular, can execute processing related to the data processing method according to the present embodiment.

  The molding machine controller 2 having a computer function for controlling the injection molding machine M functions as the data processing apparatus 1 according to the present embodiment. In this case, the switch group 41 and the sensor group 43 described above constitute a main part of the detection means 3 that sequentially detects physical quantities corresponding to a plurality of different detection items related to the operation state for each shot, and the internal memory 35 The storage unit 4 that stores the physical quantity (detection data) detected by the detection unit 3 is configured, and the display 25 configures the display unit 5 that displays statistical data obtained from the detection data stored in the storage unit 4. Therefore, the data obtained by A / D converting the detection signals Sd and the switching data Dd are detection data detected by the detection means 3.

  Further, the molding machine controller 2 changes the combination of arbitrarily different two detection items Hx, Hy... Stored in the storage means 4 to obtain two or more correlation coefficients R. The correlation number calculation processing means 6 is configured, and the correlation coefficients R... Obtained by the correlation coefficient calculation processing means 6 are sequentially and quantitatively displayed under predetermined display conditions, and the detection items Hx, Hy. Displayed on the display 25 in correspondence with the relation number R (display processing means 7).

  1 and 2, correlation correlation screens for sequentially displaying correlation coefficients R... In accordance with predetermined display conditions and displaying detected items Hx, Hy... Corresponding to each correlation coefficient R. (Display screen Vc) is shown. The correlation check screen Vc includes a correlation coefficient display unit 51 that displays correlation coefficients R ... in descending order, an item display unit 52 that displays detection items Hx, Xy ... associated with each correlation coefficient R ..., and correlations. A correlation diagram display unit 53 for displaying a correlation diagram fr... Showing the distribution state of the detection data corresponding to the number R. In this case, the predetermined display condition is to display the correlation coefficients R. Further, the display by the correlation diagram display unit 53 has a function of displaying the correlation diagrams fr... Together on the display screen of the correlation coefficients R, that is, the correlation check screen Vc (function Fe by the display processing means 7). Reference numeral 54 denotes a rank number display section that indicates the correlation coefficient R... In descending order by rank number, 55 u and 55 d indicate scroll keys, and 56 indicates a correlation check start key.

  On the other hand, in the correlation check screen Vc, reference numeral 57 denotes a reference correlation coefficient setting key for setting the reference value Rs. The reference correlation coefficient setting key 57 constitutes the reference value setting means 12. As a result, processing for displaying only the correlation coefficients R... Greater than the reference value Rs set by the reference correlation coefficient setting key 57 on the correlation coefficient display unit 51 and the item display unit 52 is performed (functions by the display processing means 7). Fb). 58 is a parent item setting key for designating one or more specific detection items (parent items) Hxp..., And this parent item setting key 58 constitutes the parent item designation means 13. As a result, only the correlation coefficient R... Related to one or more parent items Hxp... Specified by the parent item setting key 58 and the other corresponding detection items Hy. A display process is performed (function Fc by the display processing means 7). 59 is an exclusion item setting key for designating one or more specific detection items (exclusion items) Ht..., And this exclusion item setting key 59 constitutes the exclusion item designation means 14. As a result, only the correlation coefficients R ... related to the detection items Hx, Hy ... excluding one or more exclusion items Ht ... specified by the exclusion item setting key 59 are displayed in the correlation coefficient display unit 51 and the item display unit 52. A display process is performed (function Fd by the display processing means 7).

  Further, reference numeral 60 denotes a sampling range designation key for designating an arbitrary sampling range Ar for the shot, and this sampling range designation key 60 constitutes the sampling range designation means 11. In this case, the sampling range specifying means 11 functions as a part of the correlation coefficient calculation processing means 6. Accordingly, the correlation coefficient calculation processing means 6 performs processing for obtaining the correlation coefficients R in the arbitrary sampling range Ar for the shot designated by the sampling range designation means 11 (function Fa in the correlation coefficient calculation processing means 6). ).

  On the other hand, as shown in FIG. 2, a plurality of screen switching keys K1, K2, K3,... Provided for each screen item for switching various screens are displayed on the display 25 as shown in FIG. The screen switching keys K1... Are ranked in consideration of the frequency of use. In the upper part, the mold opening / closing screen switching key K1, the ejector screen switching key K2, the injection / weighing screen switching key K3, and the temperature screen switching key K4. The first group Ga related to the setting of the operating conditions of the molding machine having the monitor screen switching key K5, the main condition screen switching key K6, and the condition switching screen switching key K7 is arranged in a horizontal row, and in the lower part, A second group Gb having a setup screen switching key K8, a process monitoring screen switching key K9, a production information screen switching key K10, a waveform screen switching key K11, a history screen switching key K12, and a support screen switching key K13 is arranged in a horizontal row. To do. The second group Gb is in a state where the first layer is displayed, but can be switched to the screen switching key in the second layer by selecting (ON) the layer screen switching key Kc at the right end of the screen. .

  Next, the data processing method according to the present embodiment will be described according to the flowchart shown in FIG. 4 with reference to FIGS. 1 to 3 and FIGS.

  Note that the data processing method according to the present embodiment can be performed regardless of whether or not the injection molding machine M is in operation. Now, assume that the operator selects (ON) the monitor screen switching key K5 shown in FIG. 2 (step S1). As a result, the monitor screen Vm shown in FIG. This monitor screen Vm has a detection item display unit 61 in which eight detection items in total, such as “injection filling time”, are displayed in the upper part. The detection item of the detection item display unit 61 can be changed to another detection item. The detection items are “injection filling time”, “specified position passing time”, “injection start position”, “VP switching position”, “injection most advanced position”, “injection end position”, “VP switching pressure”. ”,“ Injection maximum forward pressure ”,“ injection peak pressure ”,“ specified position pressure ”,“ section average injection pressure ”,“ injection start pressure ”, and so on. Accordingly, 253 correlation coefficients R are obtained in total. Further, below each detection item, there are a reference value setting unit 62 and a monitoring width setting unit 63 for performing settings for quality determination of the molded product, and further below this, detection data is sequentially time-series for each shot. A trend graph display section 64 which is plotted as a trend graph. In this case, the horizontal direction of the trend graph is the size (time) of the detection data, and the vertical direction is the number of shots. In the illustrated example, the number of shots displayed is 250, but the hidden shots can be scroll-displayed with the scroll keys 65u and 65d.

  On the other hand, it is assumed that the operator monitors the trend graph in this state and performs a correlation check of the detected data. In this case, the operator selects (ON) the correlation check key 66 shown in FIG. 5 (step S2). Thereby, the screen of the display 25 is switched, and the correlation check screen Vc shown in FIG. 1 (FIG. 2) is displayed (step S3). On the correlation check screen Vc, necessary settings (designation) for the correlation check can be performed. Note that the setting (designation) is not necessarily performed. When the setting (designation) is not performed, all display in the standard mode is performed. All indications in the standard mode are useful when the detection data (detection items) that affect the quality of the molded product are not known at all or almost in the initial stage of production, and the quality can be made more stable. .

  Setting (designation) includes setting of the reference value Rs, designation of the parent item Hxp... And designation of the exclusion item Ht..., And the reference correlation coefficient setting key 57 is used to set the reference value Rs. In this case, since the numeric keypad is displayed by selecting (ON) the reference correlation coefficient setting key 57, a desired numerical value is input using the numeric keypad (step S4). An example setting is “0.60”. Accordingly, only the correlation coefficients R... Greater than “0.60” are displayed, and the correlation coefficients R less than “0.60” are not displayed. As a result, in particular, those having weak correlation coefficients R... Can be eliminated, and the operator can easily grasp relatively strong correlation coefficients R.

  Further, the parent item setting key 58 is used to specify (set) the parent item Hxp. In this case, since the parent item setting screen Vcp shown in FIG. 6 is displayed by selecting (ON) the parent item setting key 58, one or two or more specific detection items are displayed using the parent item specifying screen Vcp. (Parent item) Hxp... Is designated (step S5). Accordingly, only the correlation coefficients R... Relating to the designated parent item Hxp... And other corresponding detection items Hy. In the case of the example, “plasticization time” is designated as the parent item Hxp, so “plasticization time—00—00” such as “plasticization time—measurement deceleration start position”, “plasticization time—measured torque average”, etc. Only the correlation coefficient R... By the combination of “O” is displayed. Accordingly, “measurement deceleration start position” and “measurement torque average” corresponding to “00” are other detection items Hy... For the parent item Hxp. With such a display mode, there is an advantage that the operator can easily and accurately grasp the correlation state focused on the designated parent item Hxp. The display mode for designating the parent item Hxp... Is useful when production progresses and detection data (detection item) that affects the quality of the molded product is grasped to some extent, and focuses on a specific detection item. And quality can be improved.

  Further, an exclusion item setting key 59 is used to specify (set) the exclusion items Ht. In this case, by selecting (ON) the exclusion item setting key 59, the exclusion item designation screen Vct shown in FIG. 7 is displayed. Therefore, one or two or more specific detection items are displayed using this exclusion item designation screen Vct. (Exclusion item) Ht... Is designated (step S6). As a result, only the correlation coefficients R ... related to the detection items Hx, Hy ... excluding the designated exclusion items Ht ... are displayed. In the case of the example, the combination of “correlation coefficient R by“ cycle time (Hx) ”−“ all items (Hy...) ”And“ specified position passage pressure (Hx) ”−“ VP switching pressure (Hy) ”. The correlation coefficient R due to is removed. Reference numeral 71 denotes an item addition key. When adding the exclusion item Ht..., The item addition key 71 can be selected (ON) and added. With such a display mode, there is an advantage that unnecessary display that is unnecessary for the operator can be eliminated.

  On the other hand, when the above setting is completed, the sampling range Ar of the detection data (shot) for obtaining the correlation coefficient R ... is designated. To specify the sampling range Ar, first, the sampling range specifying key 60 is selected (ON) (step S7). Thereby, the screen of the display 25 is switched, and the setting monitor screen is displayed (step S8). This setting monitor screen has a trend graph display section 64 of the monitor screen Vm shown in FIG. 5 and a designation screen (not shown) for designating the sampling range Ar. Accordingly, the operator designates a desired sampling range Ar on the setting screen while viewing the trend graph on the trend graph display unit 64 (step S9). The illustration shows a case where 80 shots are designated, and the designated range is displayed in a color-changed manner so that it can be easily discriminated. Thus, the correlation coefficient R... In the arbitrary sampling range Ar designated for the shot can be obtained, so that the operator can grasp the correlation in the sampling range Ar determined by the operator, and is more accurate for the operator. There is an advantage that correlation information can be obtained.

  When the designation of the sampling range Ar is completed, a confirmation key (not shown) is selected (ON) (steps S10 and S11). Thereby, the screen of the display 25 is switched, and the correlation check screen Vc shown in FIG. 1 is displayed again (step S12). On the correlation check screen Vc, the number of shots “80” that will be the designated sampling range Ar is displayed in the range display section 60 r that is adjacent to the sampling range designation key 60. If necessary, the sampling range Ar can be increased or decreased by using the up / down key 60s in the sampling range designation key 60.

Thereafter, when the correlation check start key 56 is selected (ON), the correlation coefficient calculation means 6 in the molding machine controller 2 calculates the correlation coefficients R... (Steps S13 and S14). In this case, for calculating the correlation coefficient R, a known Pearson product-moment correlation coefficient R is used, and the product-moment correlation coefficient R is calculated by the formula [1].

  If the correlation coefficients R are obtained, the display processing means 7 performs the display shown in FIG. 1 on the correlation check screen Vc of the display 25 (step S15). In this case, the correlation coefficients R are displayed on the correlation coefficient display unit 51 in the descending order of the correlation coefficients R. Therefore, the correlation coefficients R... Are sequentially displayed quantitatively according to the set display conditions. As described above, if the order of the correlation coefficient R... Is used as the display condition, the strength relationship of the correlation coefficient R... Can be easily and reliably grasped. Therefore, there is an advantage that it can be effectively used for determining molding conditions and setting threshold values for pass / fail judgment. Further, the two detection items Hx, Xy... Related to each correlation coefficient R... Are displayed on the item display unit 52 in association with each correlation coefficient R.

  Further, the correlation diagram fr ... showing the distribution state of the detection data corresponding to the correlation coefficients R ... is displayed on the correlation diagram display unit 53 located next to the item display unit 52. In each correlation diagram fr..., One detection item Hx is set on the horizontal axis, and the other detection item Hy is set on the vertical axis. As a result, detection data for each shot is plotted and displayed in each correlation diagram fr... And the number of plots is the number of shots specified by the sampling range Ar. The order (number) for displaying each correlation diagram fr... Corresponds to the rank number of the rank number display unit 54 attached to the correlation coefficient R.

  Thus, if the correlation diagram fr... Showing the distribution state of the detection data corresponding to the correlation coefficient R... Is displayed together on the display screen Vc of the correlation coefficient R. Since information can be observed simultaneously, there is an advantage that more accurate and reliable correlation information can be obtained. In particular, in the case of the correlation diagram fr having the irregular data di as shown in FIG. 8, the correlation coefficient R including the irregular data di is “0.69”, but the regular data group excluding the irregular data di The correlation coefficient R of dr is “−0.367”. Therefore, by displaying the correlation coefficients R... And the correlation diagram fr... Together on the same screen, it is possible to accurately grasp the correlation in consideration of such irregular data di.

  The correlation check screen Vc shown in the example has nine correlation coefficients R ..., detection items Hx, Hy ..., and correlation diagrams fr ... that can be displayed, but the tenth and subsequent items are displayed using the scroll keys 55u and 55d. Can be displayed. On the other hand, when the reference value Rs described above is set, only the correlation coefficients R... Greater than the reference value Rs are displayed. When the parent item Hxp ... is designated, only the correlation coefficients R ... related to the parent item Hxp ... and other corresponding detection items Hy ... are displayed. In this case, the display is in the parent item Hxp..., And the correlation coefficient R is displayed in descending order for each parent item Hxp. Further, when the exclusion item Ht... Is specified, only the detection items Hx, Hy... Excluding the exclusion item Ht.

  On the other hand, if the operator confirms the display contents and determines that the setting of the reference value Rs, the specification of the parent item Hxp..., The specification of the exclusion item Ht. Setting (re-designation) is possible (step S16). As described above, in the data processing method according to the present embodiment, since various display modes can be selected, there is an advantage that usability and convenience can be further improved.

  Therefore, according to such a data processing method (data processing apparatus 1) according to the present embodiment, the correlation coefficient R between each detection data is changed by changing the combination of two arbitrarily different detection items Hx, Hy. 2 or more are obtained, and only the correlation coefficients R... That are equal to or greater than a preset reference value Rs are quantitatively displayed in the descending order of the correlation coefficient R... Or the detection coefficient Hx, Hy ... is displayed in correspondence with each correlation coefficient R ..., and a correlation diagram fr ... showing a distribution state of detected data corresponding to the correlation coefficient R ... is displayed together on the display screen Vc of the correlation coefficient R ... Since it is displayed, the correlation R... Can be grasped easily, accurately and promptly, and it is possible to accurately cope with a large amount of data (number of items), such as avoiding the problem of missing data with strong correlation. In addition, it is easy to grasp wider and deeper information such as the nature and tendency of the correlation or the relationship with other data, and it is possible to sufficiently grasp various information.

  FIG. 9 shows a modification example of the correlation check screen Vc. The correlation check screen Vc shown in FIG. 1 exemplifies the case of displaying a so-called digital type using numerical values as a mode for displaying the correlation coefficients R..., But the correlation check screen Vc shown in FIG. R ... is displayed in a so-called analog type in a bar graph format. When the correlation coefficient R is negative, the color is changed. Thus, when displaying the correlation coefficients R, various display modes can be applied.

  Although the best embodiment has been described in detail above, the present invention is not limited to such an embodiment, and the detailed configuration, shape, quantity, numerical value, and the like do not depart from the spirit of the present invention. It can be changed, added, or deleted arbitrarily.

  For example, the physical quantity (detection data) related to the operation state includes not only the detection data associated with the operation itself but also the acquisition of time and command values. Further, every shot includes not only every shot but also shots at predetermined intervals. On the other hand, the display includes not only a display on the display 25 but also a mode displayed on a print sheet printed out by a printer and a mode displayed on another display device by communication. Furthermore, as an example of the display condition, the correlation coefficient R... Is shown in the descending order, but the correlation coefficient R. In this case, it is possible to quickly detect that there is no correlation in a detection item that is originally said to have a strong correlation and effectively use it for abnormality detection or the like. In addition, as a display condition, an average value of correlation coefficients R... For each detection item can be registered, and an order of large deviation from the average value can be applied. In addition, although the case where it applied to the injection molding machine M was illustrated, while being applicable similarly to various types of molding machines, such as an extrusion molding machine, it can apply widely also to various production machines similarly.

FIG. 3 is a display mode diagram of a correlation check screen used for carrying out the data processing method according to the best embodiment of the present invention; Schematic diagram of an injection molding machine used to implement the data processing method and a display mounted on the injection molding machine, Block diagram of a molding machine controller provided in the injection molding machine, A flowchart for explaining the procedure of the data processing method; A display mode diagram of a monitor screen used for carrying out the data processing method; A display mode diagram of a parent item designation screen used for carrying out the data processing method; The display mode diagram of the exclusion item designation screen used for the implementation of the data processing method, A display mode diagram showing an example of a correlation diagram used to implement the data processing method; A display mode diagram showing an example of a change of the correlation check screen used to implement the data processing method;

Explanation of symbols

  1: data processing device, 2: molding machine controller, 3: detection means, 4: storage means, 5: display means, 6: correlation coefficient calculation processing means, 7: display processing means, 11: sampling range designation means, 12 : Reference value setting means, 13: parent item specifying means, 14: exclusion item specifying means, M: molding machine (injection molding machine), R: correlation coefficient, Rs: reference value, Hx: detection item, Hxp: parent item (Detection item), Hy: detection item, Ht: exclusion item (detection item), Ar: sampling range, fr: correlation diagram, Vc: display screen

Claims (8)

  In the data processing method of the injection molding machine that sequentially detects physical quantities corresponding to a plurality of different detection items related to the operation state for each shot, and obtains and displays statistical data from the detected plurality of physical quantities (detection data). By changing the combination of the two detection items, two or more correlation coefficients between the respective detection data are obtained, and only the correlation coefficients equal to or higher than the preset reference value are calculated in the order of increasing correlation coefficient or decreasing correlation coefficient. Quantitatively display and display detection items corresponding to each correlation coefficient, and display a correlation diagram showing a distribution state of detection data corresponding to the correlation coefficient together on the correlation coefficient display screen. A data processing method for a molding machine characterized by displaying.   When displaying the correlation coefficient, one or more specific detection items (parent items) are designated in advance, and only the correlation coefficient relating to the parent item and other corresponding detection items is displayed. The data processing method for a molding machine according to claim 1.   When displaying the correlation coefficient, one or more specific detection items (exclusion items) are designated in advance, and only the correlation coefficient related to the detection items excluding the exclusion item is displayed. Item 8. A data processing method for a molding machine according to Item 1.   The data processing method for a molding machine according to claim 1, wherein the correlation coefficient is obtained from an arbitrary sampling range designated for the shot.   A molding machine controller having a computer function for controlling the molding machine, a detection means for sequentially detecting physical quantities corresponding to a plurality of different detection items related to the operation state for each shot, and a physical quantity (detection data) detected by the detection means In a data processing apparatus of a molding machine comprising a storage means for storing data and a display means for displaying statistical data obtained from the detection data stored in the storage means, any two different detection items stored in the storage means By changing the combination, correlation coefficient calculation processing means for obtaining two or more correlation coefficients between the respective detection data by calculation processing, and reference value setting means for the correlation coefficient obtained by the correlation coefficient calculation processing means Only the correlation coefficients that are equal to or greater than the reference value set in step 1 are quantitatively displayed in order of increasing correlation coefficient or decreasing correlation coefficient. Display processing means for displaying items corresponding to each correlation coefficient and displaying a correlation diagram indicating a distribution state of detection data corresponding to the correlation coefficient together on the correlation coefficient display screen; A data processing apparatus for a molding machine.   6. The data processing apparatus for a molding machine according to claim 5, wherein the correlation coefficient calculation processing means has a function of obtaining a correlation coefficient in an arbitrary sampling range for the shot designated by the sampling range designation means.   The display processing means has a function of displaying only one or two or more specific detection items (parent items) designated by the parent item designation means and correlation coefficients related to other corresponding detection items. 6. A data processing apparatus for a molding machine according to claim 5.   The display processing means has a function of displaying only a correlation coefficient related to a detection item excluding one or two or more specific detection items (exclusion items) designated by an exclusion item designation means. 5. A data processing apparatus for a molding machine according to 5.

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