CN116204578B - Control data management method, system and storage medium for electric screw press - Google Patents

Control data management method, system and storage medium for electric screw press Download PDF

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CN116204578B
CN116204578B CN202310499937.7A CN202310499937A CN116204578B CN 116204578 B CN116204578 B CN 116204578B CN 202310499937 A CN202310499937 A CN 202310499937A CN 116204578 B CN116204578 B CN 116204578B
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CN116204578A (en
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余俊
冯仪
兰芳
宋文灿
曹超
李方达
游梦晨
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Wuhan Newwish Technology Co ltd
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Abstract

The invention discloses a control data management method, a system and a storage medium of an electric screw press, belonging to the technical field of data processing, comprising the following steps: step S1: giving each electric screw press an independent code, collecting machine data of each electric screw press, and establishing a first database based on the machine data of each electric screw press; step S2: collecting workpiece data, and establishing a second database based on the workpiece data; step S3: setting a first threshold value, and distributing the machine data and the workpiece data with the first matching degree larger than the first threshold value into the same first matching group; step S4: screening the first matching group to obtain a second matching group; step S5: a visualization table is generated. According to the invention, the parameter data and the workpiece data of the electric screw press are automatically acquired and integrated and correlated by the method, so that the problem of high manpower consumption in the prior art in a mode of recording and filling the parameter data and the workpiece quality data of the electric screw press is solved.

Description

Control data management method, system and storage medium for electric screw press
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a control data management method, a control data management system and a storage medium of an electric screw press.
Background
The electric screw press is a forging and pressing device for forging and pressing industry, and its principle is that the screw and nut are used as driving mechanism to transfer flywheel energy, and the flywheel is accelerated to rotate by means of direct driving mechanism to accumulate energy, at the same time, the rotation motion of flywheel is converted into upward and downward rectilinear motion of slide block by screw pair, and at the end of downward section the accumulated energy is released so as to promote workpiece formation.
In a production line comprising electric screw pressure, in the past, a workpiece to be forged is manually placed into an electric screw press, and then the corresponding button is operated to control the screw press to descend so as to forge the workpiece, so that the quality of the workpiece can be monitored in real time, but the production efficiency is lower, and more dangerous factors exist; along with the application of a full-automatic production line, the placement and the taking out of the workpieces can be automatically completed by a mechanical arm; because there is no manual supervision, in order to ensure the quality of the forged workpiece, the quality of the workpiece needs to be counted after the workpiece is forged, and if the quality of a certain batch of workpieces is poor, the parameter data of the electric screw press needs to be adjusted so as to improve the forging quality of the workpiece. In the prior art, a table is generally established, the quality of a workpiece and the parameter data of a screw press are filled into the table, and then the table is combined for comparison analysis, so that the parameter data is adjusted according to the quality of the workpiece; however, this method is to manually fill in the parameter data and the workpiece quality data, and also to correlate the parameter data and the workpiece quality data, and when the data is too much, this data recording method may require a large amount of manpower.
Disclosure of Invention
In order to solve the problems, the invention provides a control data management method, a control data management system and a storage medium for an electric screw press, so as to solve the problem that the recording of screw press parameter data and workpiece quality data in the prior art consumes large manpower.
In order to achieve the above object, the present invention provides a control data management method for an electric screw press, comprising:
step S1: giving each electric screw press an independent code, collecting machine data of each electric screw press, wherein the machine data comprise the independent code, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, and a first database is built based on the machine data of each electric screw press;
step S2: collecting workpiece data, wherein the workpiece data comprises second time data and quality data, the second time data comprises an entering time point and an exiting time point when a workpiece enters and leaves an electric screw press, the quality data comprises a plurality of quality detection data of the workpiece after being forged by the electric screw press, and a second database is built based on the workpiece data;
Step S3: setting a first threshold value, obtaining first matching degrees of all the machine data in the first database and all the workpiece data in the second database, screening the first matching degrees larger than the first threshold value, obtaining the corresponding machine data and workpiece data based on the screened first matching degrees, and distributing the machine data and the workpiece data into the same first matching group;
step S4: screening the first matching group to obtain a second matching group, wherein in the second matching group, workpieces corresponding to the workpiece data are forged by an electric screw press corresponding to the machine data, a time identifier is generated based on the first time data and the second time data in the second matching group, and the time identifier is respectively linked with the parameter data and the quality data;
step S5: a visualization table is generated based on the time identifier, the parameter data, and the quality data.
Further, before the first matching degree is obtained, the machine data and the workpiece data are screened based on the following steps:
And respectively extracting the first time data and the second time data from the machine data and the workpiece data, comparing the starting time point and the entering time point with the stopping time point and the leaving time point, and if the starting time point is later than the entering time point and the stopping time point is later than the leaving time point, reserving the machine data and the workpiece data and acquiring the first matching degree of the machine data and the workpiece data.
Further, the obtaining the first matching degree of the machine data and the workpiece data includes the following steps:
acquiring a first difference between the start time point and the entry time point
Figure SMS_1
And a second difference +.f between said stop time point and said departure time point>
Figure SMS_6
Calculating the first degree of matching based on a first formula>
Figure SMS_8
The first formula is +.>
Figure SMS_2
Wherein->
Figure SMS_5
And->
Figure SMS_7
Respectively a preset first standard deviation value and a second standard deviation value, < >>
Figure SMS_10
And->
Figure SMS_3
A first adjustment coefficient and a second adjustment coefficient which are preset respectively, < >>
Figure SMS_4
For returning->
Figure SMS_9
Is larger than the larger value of the above.
Further, in the step S4, the screening of the first matching group includes the following steps:
Screening the first matching groups containing the same workpiece data, extracting one of the first matching groups, extracting the machine data from the first matching groups, extracting the independent codes corresponding to the electric screw press from the machine data, acquiring the machine data containing the independent codes from the first database, continuing screening the machine data containing the same parameter data, defining screening data, retrieving sub-matching groups from the first matching groups based on the screening data, acquiring the workpiece data in each sub-matching group, acquiring a second matching value of the first matching group based on the workpiece data, and deleting the extracted first matching groups if the second matching value is larger than a preset second threshold.
Further, the step of obtaining the second matching value of the first matching group includes the steps of:
extracting the second time data in the workpiece data, and calculating a second matching value of the extracted first matching group based on a second formula
Figure SMS_12
The second formula is: / >
Figure SMS_15
Wherein->
Figure SMS_17
And->
Figure SMS_13
-extracting said entry time point and said exit time point of said first matching group, respectively,/->
Figure SMS_14
And->
Figure SMS_16
Respectively the first
Figure SMS_18
Said entry time point and said exit time point in said sub-matching group of said individual,/->
Figure SMS_11
For the number of sub-matching groups.
Further, in the step S5, generating the visualization table includes the following steps:
step S51: determining the independent code of the electric screw press, screening the machine data comprising the independent code and the same parameter data from the first database, determining the corresponding workpiece data based on the machine data, extracting the second time data from the workpiece data, and generating a workpiece state time bar based on the second time data;
step S52: generating a table template, wherein the table template comprises a first part and a second part, the first part comprises a plurality of time shafts which extend along the transverse direction and are distributed along the vertical interval, and the second part comprises cells corresponding to each time shaft;
step S53: extracting the first time data in the machine data, selecting two adjacent time shafts, respectively selecting a starting time point and a stopping time point on the two time shafts, drawing the first time data between the two time shafts in a working line segment mode, filling the corresponding unit cells with the quality data and the workpiece state time bar, and generating the visual table;
Step S54: continuing to generate the visual form of the other electric screw press based on the steps S51 to S53.
Further, if a plurality of visual forms exist, the visual forms are folded and displayed.
Further, if the quality data includes abnormal information, the abnormal information is displayed in the visualization table based on the following steps:
and establishing an abnormal information comparison table based on the quality detection data, wherein the abnormal information comparison table comprises abnormal information reasons and time periods when abnormal information appears, acquiring abnormal information in the quality data, acquiring the corresponding time periods based on the abnormal information comparison table, drawing a comparison line based on the time periods, and associating the working line segment with the workpiece state time bar.
The invention also provides a control data management system of the electric screw press, which is used for realizing the control data management method of the electric screw press, and mainly comprises the following steps:
the device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring machine data of each electric screw press and workpiece data of each workpiece, the machine data comprise independent codes, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, the workpiece data comprise second time data and quality data, the second time data comprise entering time points and leaving time points when the workpiece enters and leaves the electric screw press, and the quality data comprise a plurality of quality detection data of the workpiece after the workpiece is forged by the electric screw press;
A database module for creating a first database based on the machine data of each electric screw press and a second database based on the workpiece data;
the screening module is used for acquiring first matching degrees of all the machine data in the first database and all the workpiece data in the second database, screening the first matching degrees larger than the first threshold, acquiring the corresponding machine data and the workpiece data based on the screened first matching degrees, distributing the machine data and the workpiece data into the same first matching group, screening the first matching group, and acquiring a second matching group, wherein the workpieces corresponding to the workpiece data are forged by an electric screw press corresponding to the machine data;
a time appending module that generates a time identifier based on the first time data and the second time data within the second matching group, linking the time identifier with the parameter data and the quality data, respectively;
and a visualization module for generating a visualization table based on the time identifier, the parameter data and the quality data.
The invention also provides a computer storage medium which stores program instructions, wherein the program instructions control equipment where the computer storage medium is located to execute the control data management method of the electric screw press when running.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the first database and the second database are established based on the machine data of the electric screw press and the workpiece data of the forged workpiece of the electric screw press, so that the automatic acquisition and the classified storage of the data are realized; on the basis, in order to conveniently analyze the relation between the parameters of the electric screw press and the quality of the forged workpiece, the invention distributes the data with the first matching degree larger than a first threshold value into the same matching group by calculating the first matching degree between the stored data of the two databases, and then performs error removal screening on the data, thereby relating the parameters of the electric screw press to the quality of the forged workpiece, and leading operators to be capable of viewing the parameter data or the quality data of the electric screw press independently and viewing the data of the quality of the workpiece in a related way; finally, the invention also displays the data in the two databases in the form of a visual table, thereby facilitating the data analysis of related personnel in a further step.
Drawings
FIG. 1 is a flow chart showing the steps of a method for managing control data of an electric screw press according to the present invention;
FIG. 2 is an interface diagram of a visualization form according to the present invention;
FIG. 3 is a schematic diagram of a data transmission process of an electric screw press control data management system according to the present invention;
fig. 4 is a schematic structural diagram of a control data management system of an electric screw press according to the present invention.
Description of the embodiments
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
As shown in fig. 1, a control data management method of an electric screw press includes:
Step S1: giving each electric screw press an independent code, collecting machine data of each electric screw press, wherein the machine data comprise the independent code, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, and a first database is built based on the machine data of each electric screw press;
specifically, a plurality of production lines exist, and each production line is provided with an electric screw press, so that each electric screw press is encoded, and the electric screw presses are distinguished; and then collecting machine data of each electric screw press based on the codes, wherein the starting time point of the electric screw press is the time point when the sliding block starts to descend, the stopping time point is the time point when the sliding block rises to the top and stops after the workpiece is forged, and the parameter data comprise but are not limited to setting data of the displacement, the speed and the striking force of the sliding block.
Step S2: collecting workpiece data, wherein the workpiece data comprises second time data and quality data, the second time data comprises an entering time point and an exiting time point when the workpiece enters and leaves the electric screw press, the quality data comprises a plurality of quality detection data of the workpiece after being forged by the electric screw press, and a second database is built based on the workpiece data;
The entering time point is specifically the time point when the workpiece leaves the last device of the electric screw press, namely the time point when the workpiece leaves the last device and starts to enter the electric screw press, and the exiting time point is the time point when the workpiece enters the next device of the electric screw press after being forged. Quality data for a workpiece includes, but is not limited to, quality inspection data for the thickness, shape, and appearance of the workpiece.
Step S3: setting a first threshold value, acquiring a first matching degree of each machine data in a first database and each workpiece data in a second database, screening the first matching degree larger than the first threshold value, acquiring corresponding machine data and workpiece data based on the screened first matching degree, and distributing the machine data and the workpiece data into the same first matching group;
step S4: screening the first matching group to obtain a second matching group, wherein in the second matching group, workpieces corresponding to workpiece data are forged by an electric screw press corresponding to machine data, a time identifier is generated based on first time data and second time data in the second matching group, and the time identifier is respectively linked with parameter data and quality data;
since the parameter data of the electric screw press and the workpiece data of the electric screw press for forging are respectively stored in different databases, when the parameters of the electric screw press need to be adjusted by analyzing the quality of the workpieces, it is necessary to determine which workpiece is forged by which electric screw press; thus, the data in the two databases need to be correlated so that an operator, when searching, can determine, from the parameters of the electric screw press, which workpieces were forged under that parameter, or which workpieces were forged by which electric screw press based on what parameters; based on the problems, the invention provides that the electric screw press is primarily matched with the workpiece by calculating the first matching degree between each data in the first database and each data in the second database and comparing the first matching degree with a first threshold value, so as to obtain a first matching group; and then screening the first matching group to obtain a second matching group, thereby obtaining parameters of the electric screw press and quality data of the workpiece produced under the parameters.
On the basis, the invention also provides a time identifier, and the first time data and the second time data are associated with the time identifier, so that an operator can continuously screen the quality of the produced workpiece according to the time characteristics on the basis of determining the coding of the electric screw press, thereby improving the convenience of data retrieval.
Step S5: a visualization table is generated based on the time identifier, the parameter data, and the quality data.
After the first database and the second database are processed, the invention also establishes a visual table based on the two databases, and the operation data and the workpiece quality data of the electric screw press are displayed more intuitively, so that the data analysis of related personnel is facilitated more in a further step.
Particularly, the invention automatically collects the parameters of the electric screw press and the workpiece data through the method and integrates the data, thereby solving the problem of high manpower consumption in the prior art in the mode of recording the parameter data of the screw press and the quality data of the workpiece.
According to the invention, the first database and the second database are established based on the machine data of the electric screw press and the workpiece data of the forged workpiece of the electric screw press, so that the automatic acquisition and the classified storage of the data are realized; on the basis, in order to conveniently analyze the relation between the parameters of the electric screw press and the quality of the forged workpiece, the invention distributes the data with the first matching degree larger than a first threshold value into the same matching group by calculating the first matching degree between the stored data of the two databases, and then performs error removal screening on the data, thereby relating the parameters of the electric screw press to the quality of the forged workpiece, and leading operators to be capable of viewing the parameter data or the quality data of the electric screw press independently and viewing the data of the quality of the workpiece in a related way; finally, the invention also displays the data in the two databases in the form of a visual table, thereby facilitating the data analysis of related personnel in a further step.
In this embodiment, before the first matching degree is obtained, the machine data and the workpiece data are screened based on the following steps:
and respectively extracting first time data and second time data from the machine data and the workpiece data, comparing a start time point and an entry time point, and a stop time point and an exit time point, and if the start time point is later than the entry time point and the stop time point is later than the exit time point, reserving the machine data and the workpiece data, and acquiring a first matching degree.
Specifically, when comparing machine data and workpiece data, first time data is extracted from the machine data, second time data is extracted from the workpiece data, then starting time points and entering time points are compared, if the starting time points are later than the entering time points, for example, the starting time points of the electric screw press are 10:00:02, and the entering time points of the workpiece are 10:00:00, the electric screw press is indicated to work after the workpiece enters the electric screw press, and the two time points are indicated to accord with the working flow; similarly, the stopping time point is later than the leaving time point, and the electric screw press stops working after the workpiece leaves the electric screw press; thus, the two numbers can be initially screened through the step, and if one time condition does not meet the requirement defined in the step, the workpiece corresponding to the workpiece data is indicated not to be forged by the press corresponding to the machine data.
Acquiring a first matching degree of machine data and workpiece data, comprising the following steps:
acquiring a first difference between a start time point and an entry time point
Figure SMS_21
And a second difference of the stop time point and the departure time point +.>
Figure SMS_24
Calculating a first degree of matching based on a first formula>
Figure SMS_25
The first formula is that,
Figure SMS_20
wherein->
Figure SMS_22
And->
Figure SMS_26
Respectively a preset first standard deviation value and a second standard deviation value, < >>
Figure SMS_28
And->
Figure SMS_19
A first adjustment coefficient and a second adjustment coefficient which are preset respectively, < >>
Figure SMS_23
For returning->
Figure SMS_27
Is larger than the larger value of the above.
Specifically, the first standard deviation value is a standard time interval between a starting time point and an entering time point, and the second standard deviation value is a standard time interval between a stopping time point and an leaving time point; because the electric screw press is automatically controlled by the PLC and the picking and placing of the workpieces are controlled by the mechanical arm, under the condition that the mechanical setting parameters of the electric screw press and the mechanical setting parameters of the electric screw press are unchanged, a first difference value between a starting time point and an entering time point is very close to a preset first standard difference value, and a second difference value between a stopping time point and an leaving time point is also very close to a second standard difference value; based on the analysis, when comparing the first time data and the second time data, the conventional means is to separately calculate the difference between the first difference and the first standard difference, and the difference between the second difference and the second standard difference, and then to see whether both calculation results are smaller than a preset certain value, so as to judge the proximity degree of the two calculation results; or adding the two calculation results, and if the sum of the two calculation results is smaller than a certain value, indicating that the workpiece corresponding to the workpiece data is forged by the press corresponding to the machine data.
The first mode needs to perform two-step calculation and also needs to be respectively compared; the second approach ignores the following, as when
Figure SMS_41
Very small, < >>
Figure SMS_31
When larger, the sum of the two values is still smaller than the first threshold value
Figure SMS_37
The difference between the stop time point and the departure time point is larger than the second standard difference value, and the workpiece and the press machine are possibly mismatched; the present invention thus builds a first formula based on the above, in particular by building +.>
Figure SMS_32
Will->
Figure SMS_38
Is suitably scaled down in value and then introduced
Figure SMS_44
To obtain->
Figure SMS_46
And->
Figure SMS_43
Is then added to the value of +.1, which is also between 0 and 1>
Figure SMS_48
Multiplication is such that even->
Figure SMS_29
The result of (2) is smaller than the first threshold value, if +.>
Figure SMS_36
Or->
Figure SMS_42
When the calculation result is larger, the final calculation result is influenced; therefore, the matching relation of the two data can be simply and directly obtained through the formula. In particular, a method for determining the first threshold value is described here, which will be +.>
Figure SMS_47
And->
Figure SMS_45
Are all set to 1; at->
Figure SMS_49
And->
Figure SMS_33
In case of 1's, the first threshold value can be set to +.>
Figure SMS_40
3.5 times the value, this is set because, under normal conditions, the workpiece enters the screw press, the screw press is started, forging is completed, the workpiece leaves the screw press, the screw press is stopped from rising, the times of the first and second halves of the process are close, i.e
Figure SMS_34
And->
Figure SMS_39
Is close to the value of (a), then +.>
Figure SMS_30
In the case of (1) if the machine data matches the workpiece dataIf the recipe is formulated, the result should be less than +.>
Figure SMS_35
3.5 times the value.
Under the condition that the production lines are more, the situation that the matching degree of the same workpiece data and a plurality of machine data is smaller than a first threshold value is unavoidable, at the moment, a first matching group with a matching error is needed to be removed, only one correct matching group is reserved, and the first matching group reserved finally is defined as a second matching group in the invention; in the above scenario, the present invention screens the first matching group based on the following steps.
Screening first matching groups containing the same workpiece data, extracting one of the first matching groups, extracting machine data from the first matching groups, extracting independent codes corresponding to the electric screw press from the machine data, acquiring the machine data containing the independent codes from a first database, continuously screening the machine data containing the same parameter data therein, defining the machine data as screening data, retrieving sub-matching groups from the first matching groups based on the screening data, acquiring the workpiece data in each sub-matching group, acquiring a second matching value of the first matching group based on the workpiece data, and deleting the extracted first matching group if the second matching value is larger than a preset second threshold value.
In this embodiment, acquiring the second matching value of the first matching group includes the steps of:
extracting second time data in the workpiece data, and calculating a second matching value of the extracted first matching group based on a second formula
Figure SMS_50
The second formula is: />
Figure SMS_51
Wherein->
Figure SMS_52
And->
Figure SMS_53
The entry time point and the exit time point of the first matching group are extracted respectively, +.>
Figure SMS_54
And->
Figure SMS_55
The entry time point and the exit time point in the nth sub-matching group are respectively, and m is the number of sub-matching groups.
The following explanation of the two steps is that first, a first matching group containing the same workpiece data is obtained, the first matching group a and the first matching group B are used for illustrating the steps, if the first matching group a and the first matching group B contain the same workpiece data, first, machine data are extracted from the first matching group a, codes of the machines corresponding to the machines are obtained, then, the codes are used as search conditions, the machine data which contain the codes and have the same parameter data in a first database are obtained, and the screened machine data are defined as screening data; then, find out the first matching group comprising screening data, define as the sub-matching group here, the final search result is, the press code that the machine data of sub-matching group corresponds to, the same as press code comprising machine data in first matching group A, and the two parameters are the same.
Thereafter, workpiece data is extracted from each sub-matching group, and second time data is extracted from the extracted workpiece data, for example, to three second time data (10:00:00, 10:00:10), (10:00:12, 10:00:22), (10:00:24, 10:00:34), and the three second time data are brought into
Figure SMS_56
The calculation is performed with a result of 10, and the second time data +.>
Figure SMS_57
Is (09:00:00, 09:00:08),>
Figure SMS_58
subtracting 8, subtracting 2 from 10,the second match value is 2; if the second threshold is set to 1, the second matching value is greater than the second threshold, which indicates that the workpiece corresponding to the workpiece data in the first matching group A is not grabbed by the mechanical arm on the production line of the press corresponding to the machine data, so that the first matching group is deleted; in particular, the second threshold value may be determined from historical forging data of the electric screw press, for example, based on the historical forging data, the forging time period of each workpiece is obtained to be floated up and down within a range of 1s, and then the second threshold value is set to 1.
Therefore, if there are a plurality of first matching groups containing the same second data, it can be filtered through the above steps, so that the first matching group in which an error occurs is deleted.
Conventionally, when analyzing parameters of an electric screw press and quality of a workpiece, a table is generally established, and then two data are filled into the table for comparison analysis, however, the relation between each forging and the quality of the workpiece cannot be intuitively displayed in the method, after the data are processed through the steps, the following steps are provided for generating a visual table based on the processed data, so that the relation between each forging of the electric screw press and the quality of the workpiece is more intuitively displayed.
Step S51: determining independent codes of the electric screw press, screening machine data containing the independent codes and the same parameter data from a first database, determining corresponding workpiece data based on the machine data, extracting second time data from the workpiece data, and generating a workpiece state time bar based on the second time data;
step S52: generating a form template, wherein the form template comprises a first part and a second part, the first part comprises a plurality of time shafts which extend along the transverse direction and are distributed along the vertical interval, and the second part comprises cells corresponding to each time shaft;
step S53: extracting first time data in machine data, selecting two adjacent time shafts, respectively selecting a starting time point and a stopping time point on the two time shafts, drawing the first time data between the two time shafts in a working line segment mode, filling quality data and workpiece state time bars in corresponding cells, and generating a visual table;
Step S54: the generation of the visual form of the other electric screw press is continued based on steps S51 to S53.
In this embodiment, if there are a plurality of visualization forms, the plurality of visualization forms are displayed in a folded manner.
The above process is explained with reference to the specific embodiment, in step S51, first, machine data including the same independent code and parameter data is extracted from the first database, then, based on the machine data, a second matching group is retrieved, workpiece data therein is obtained, and second time data is extracted from the workpiece data, that is, corresponding machine data and workpiece data are obtained through step S51; in step S52, a form template is generated, as shown in FIG. 2, the first portion including time axes arranged at vertical intervals
Figure SMS_59
The time length of the time axis is automatically adjusted according to the data to be filled, as the length of each time axis is 10 minutes in FIG. 2, the second part is the top cell of the table->
Figure SMS_60
The method comprises the steps of carrying out a first treatment on the surface of the In step S53, the first time data of the electric screw press is plotted in the form template, e.g. the first time data is (10:00:12, 10:00:22), at time axis +.>
Figure SMS_61
Time points 10:00:12 are selected in the time axis +.>
Figure SMS_62
And selecting a time point 10:00:22, and connecting the two time points, wherein the drawn oblique line is the running time of the electric screw press, namely a working line segment, and is shown as a line segment D in the figure. Then filling the workpiece quality data forged in the current running time into the cells, and simultaneously drawing a workpiece state time bar, wherein the workpiece state time bar comprises three parts, such as C in the figure Each of the shadows represents, in order from left to right, a work-piece placement period, a forging period after placement, and a departure period.
The visual table generated through the process enables an analyst to clearly and intuitively see the working time of the electric screw press each time, and the quality of the workpiece and the position state of the workpiece in the forging process are forged each time, so that the analysis of data is further facilitated.
In this embodiment, if the quality data includes abnormal information, the abnormal information is displayed in the visualization table based on the following steps:
an abnormal information comparison table is established based on the quality detection data, the abnormal information comparison table comprises abnormal information reasons and time periods when the abnormal information appears, the abnormal information in the quality data is obtained, the corresponding time periods are obtained based on the abnormal information comparison table, a comparison line is drawn based on the time periods, and the working line segments and the workpiece state time bars are associated.
The following describes the steps with reference to fig. 2, where an abnormal information comparison table is first established, where the abnormal information comparison table includes the cause of the abnormal information and the time period for which the cause of the abnormal information occurs, for example, information that the thickness deviation is too large in the workpiece quality data, which may be caused by unreasonable parameter setting of the electric screw press; according to the abnormal information comparison table, a shadow part in the middle of the workpiece forging time bar is corresponding to the abnormal information comparison table, in this case, as shown in fig. 2, a first point is selected in a corresponding time period in the workpiece forging time bar, a second point is selected in a corresponding working line segment, and then the two points are connected by using a dotted line E; so that an analyst can first see the cells when looking at the visualization form
Figure SMS_63
The abnormal information in the electric screw press can be found out quickly according to the broken line E, so that the parameters of the electric screw press are required to be adjusted, and the thickness of the forged workpiece meets the requirements.
As shown in fig. 3 and 4, the present invention further provides an electric screw press control data management system for implementing the above-mentioned method for managing electric screw press control data, which mainly includes:
the device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring machine data of each electric screw press and workpiece data of each workpiece, the machine data comprise independent codes, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, the workpiece data comprise second time data and quality data, the second time data comprise entering time points and leaving time points when the workpiece enters and leaves the electric screw press, and the quality data comprise a plurality of quality detection data of the workpiece after the workpiece is forged by the electric screw press;
The database module is used for establishing a first database based on machine data of each electric screw press and establishing a second database based on workpiece data;
the screening module is used for acquiring first matching degrees of all machine data in the first database and all workpiece data in the second database, screening the first matching degrees which are larger than the first threshold, acquiring corresponding machine data and workpiece data based on the screened first matching degrees, distributing the machine data and the workpiece data into the same first matching group, screening the first matching group, and acquiring a second matching group, wherein workpieces corresponding to the workpiece data in the second matching group are forged by an electric screw press corresponding to the machine data;
a time adding module for generating a time identifier based on the first time data and the second time data in the second matching group, and linking the time identifier with the parameter data and the quality data respectively;
and a visualization module for generating a visualization table based on the time identifier, the parameter data and the quality data.
The invention also provides a computer storage medium which stores program instructions, wherein the equipment where the computer storage medium is located is controlled to execute the control data management method of the electric screw press when the program instructions run.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the foregoing embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, they should be considered as the scope of the disclosure as long as there is no contradiction between the combinations of the technical features.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (9)

1. A method of managing control data for an electric screw press, comprising:
step S1: giving each electric screw press an independent code, collecting machine data of each electric screw press, wherein the machine data comprise the independent code, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, and a first database is built based on the machine data of each electric screw press;
Step S2: collecting workpiece data, wherein the workpiece data comprises second time data and quality data, the second time data comprises an entering time point and an exiting time point when a workpiece enters and leaves an electric screw press, the quality data comprises a plurality of quality detection data of the workpiece after being forged by the electric screw press, and a second database is built based on the workpiece data;
step S3: setting a first threshold value, obtaining first matching degrees of all the machine data in the first database and all the workpiece data in the second database, screening the first matching degrees larger than the first threshold value, obtaining the corresponding machine data and workpiece data based on the screened first matching degrees, and distributing the machine data and the workpiece data into the same first matching group;
step S4: screening the first matching group to obtain a second matching group, wherein in the second matching group, workpieces corresponding to the workpiece data are forged by an electric screw press corresponding to the machine data, a time identifier is generated based on the first time data and the second time data in the second matching group, and the time identifier is respectively linked with the parameter data and the quality data;
Step S5: generating a visualization form based on the time identifier, the parameter data, and the quality data;
in the step S4, the screening of the first matching group includes the following steps:
screening the first matching groups containing the same workpiece data, extracting one of the first matching groups, extracting the machine data from the first matching groups, extracting the independent codes corresponding to the electric screw press from the machine data, acquiring the machine data containing the independent codes from the first database, continuing screening the machine data containing the same parameter data, defining screening data, retrieving sub-matching groups from the first matching groups based on the screening data, acquiring the workpiece data in each sub-matching group, acquiring a second matching value of the first matching group based on the workpiece data, and deleting the extracted first matching groups if the second matching value is larger than a preset second threshold.
2. The method of claim 1, wherein prior to obtaining the first degree of matching, the machine data and the workpiece data are screened based on:
And respectively extracting the first time data and the second time data from the machine data and the workpiece data, comparing the starting time point and the entering time point with the stopping time point and the leaving time point, and if the starting time point is later than the entering time point and the stopping time point is later than the leaving time point, reserving the machine data and the workpiece data and acquiring the first matching degree of the machine data and the workpiece data.
3. The method of claim 2, wherein obtaining the first degree of matching of the machine data and the workpiece data comprises the steps of:
acquiring a first difference between the start time point and the entry time point
Figure QLYQS_2
And a second difference +.f between said stop time point and said departure time point>
Figure QLYQS_4
Calculating the first degree of matching based on a first formula>
Figure QLYQS_7
The first formula is that,
Figure QLYQS_3
wherein->
Figure QLYQS_5
And->
Figure QLYQS_8
Respectively a preset first standard deviation value and a second standard deviation valueValue of->
Figure QLYQS_10
And->
Figure QLYQS_1
Respectively a preset first adjustment coefficient and a preset second adjustment coefficient,
Figure QLYQS_6
for returning->
Figure QLYQS_9
Is larger than the larger value of the above.
4. The method of claim 1, wherein obtaining the second matching value of the first matching set comprises the steps of:
Extracting the second time data in the workpiece data, and calculating a second matching value of the extracted first matching group based on a second formula
Figure QLYQS_11
The second formula is: />
Figure QLYQS_12
Wherein->
Figure QLYQS_13
And->
Figure QLYQS_14
-extracting said entry time point and said exit time point of said first matching group, respectively,/->
Figure QLYQS_15
And->
Figure QLYQS_16
Said entering in the nth said sub-match group respectivelyA time point and the departure time point, m being the number of the sub-matching groups.
5. The method of managing control data of an electric screw press according to claim 4, wherein in the step S5, generating the visual table includes the steps of:
step S51: determining the independent code of the electric screw press, screening the machine data comprising the independent code and the same parameter data from the first database, determining the corresponding workpiece data based on the machine data, extracting the second time data from the workpiece data, and generating a workpiece state time bar based on the second time data;
step S52: generating a table template, wherein the table template comprises a first part and a second part, the first part comprises a plurality of time shafts which extend along the transverse direction and are distributed along the vertical interval, and the second part comprises cells corresponding to each time shaft;
Step S53: extracting the first time data in the machine data, selecting two adjacent time shafts, respectively selecting a starting time point and a stopping time point on the two time shafts, drawing the first time data between the two time shafts in a working line segment mode, filling the corresponding unit cells with the quality data and the workpiece state time bar, and generating the visual table;
step S54: continuing to generate the visual form of the other electric screw press based on the steps S51 to S53.
6. The method of claim 5, wherein if there are a plurality of the visual forms, the plurality of visual forms are displayed in a folded state.
7. The control data management method of an electric screw press according to claim 5 or 6, wherein if the quality data includes abnormality information, the display is performed in the visual table based on the steps of:
and establishing an abnormal information comparison table based on the quality detection data, wherein the abnormal information comparison table comprises abnormal information reasons and time periods when abnormal information appears, acquiring abnormal information in the quality data, acquiring the corresponding time periods based on the abnormal information comparison table, drawing a comparison line based on the time periods, and associating the working line segment with the workpiece state time bar.
8. An electric screw press control data management system for implementing the electric screw press control data management method according to any one of claims 1 to 7, comprising:
the device comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring machine data of each electric screw press and workpiece data of each workpiece, the machine data comprise independent codes, first time data and parameter data, the first time data comprise starting time points and stopping time points when the electric screw press runs each time, the parameter data comprise corresponding parameter data when the electric screw press runs, the workpiece data comprise second time data and quality data, the second time data comprise entering time points and leaving time points when the workpiece enters and leaves the electric screw press, and the quality data comprise a plurality of quality detection data of the workpiece after the workpiece is forged by the electric screw press;
a database module for creating a first database based on the machine data of each electric screw press and a second database based on the workpiece data;
a screening module, wherein a first threshold is set, the screening module obtains a first matching degree of each piece of machine data in the first database and each piece of workpiece data in the second database, screens the first matching degree larger than the first threshold, obtains the corresponding piece of machine data and the piece of workpiece data based on the first matching degree after screening, distributes the piece of machine data and the piece of workpiece data into the same first matching group, screens the first matching group, obtains a second matching group, wherein in the second matching group, the pieces of workpiece data corresponding to the piece of machine data are forged by an electric screw press corresponding to the piece of workpiece data, screens the first matching group containing the same piece of workpiece data, extracts one of the first matching group, extracts the piece of machine data from the first matching group when screening the first matching group, extracts the independent codes corresponding to the piece of machine data, extracts the independent codes from the piece of machine data, acquires the first matching group, and further extracts the piece of data from the first matching group based on the first matching group, and the second matching group is a value, and the first matching group is a value, and the method comprises the first matching group is a value, and the second matching group is a value is obtained based on the first matching group and the data is obtained;
A time appending module that generates a time identifier based on the first time data and the second time data within the second matching group, linking the time identifier with the parameter data and the quality data, respectively;
and a visualization module for generating a visualization table based on the time identifier, the parameter data and the quality data.
9. A computer storage medium, characterized in that the computer storage medium stores program instructions, wherein the program instructions, when run, control a device in which the computer storage medium is located to perform the electric screw press control data management method according to any one of claims 1-7.
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