CN116661403A - Self-adaptive matching control system of flexible production line - Google Patents
Self-adaptive matching control system of flexible production line Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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Abstract
The application belongs to the field of flexible production lines, and particularly relates to a self-adaptive matching control system of a flexible production line, which comprises the following components: the device comprises an acquisition module, a trend analysis module, a prediction module, a judgment module and an adjustment module; the trend analysis module is used for preprocessing the historical operation parameter information, and the prediction module is used for obtaining predicted operation parameter information; the judging module is used for judging whether the predicted operation parameter information accords with preset standard operation parameter information or not; and the adjusting module is used for adjusting the operation parameters of the machine tool according to the early warning information. According to the application, not only can the predicted operation parameter information of the machine tool be predicted by the prediction module, but also the predicted operation parameter information can be judged and analyzed by the judging module, so that the abnormal operation parameters of the machine tool are avoided, the production efficiency and quality are improved, and the damage of a flexible production line is avoided.
Description
Technical Field
The application belongs to the field of flexible production lines, and particularly relates to a self-adaptive matching control system of a flexible production line.
Background
The flexible production line is a production line formed by connecting a plurality of adjustable machine tools and matching with an automatic conveying device. The method relies on computer management and combines a plurality of production modes, thereby reducing the production cost and making the best use of things. The flexible production line is mainly used for adapting to various types and small batches of current market orders, and the production line is frequently replaced. The flexibility of the flexible production line and the building block type combined structure can adapt to the product modification process in the shortest time, so that the production can be recovered in time. The flexible production line is widely applied to various production links of automobile industry, electronic manufacturing industry, communication industry, biological engineering, pharmaceutical industry, army industry, various chemical industry, precise hardware and the like.
In the use process of the flexible production line, most of the flexible production line needs to meet operation parameters to normally work, the operation parameters are generally not fixed in the use process of the flexible production line, the operation parameters can be changed under the influence of the operation parameters or external factors, if the operation parameters are not handled in time, the production efficiency and quality of the flexible production line are affected, and the flexible production line is damaged when the operation parameters are serious.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a self-adaptive matching control system of a flexible production line, which has the advantages of predicting operation parameter information and adjusting the operation parameters of a machine tool according to the predicted operation parameter information, and solves the problems that the operation parameters can be influenced by the operation parameters or external factors to change, if the operation parameters are not processed in time, the production efficiency and quality of the flexible production line are influenced, and the flexible production line is damaged when serious.
In order to solve the technical problems, the application provides the following technical scheme:
the utility model provides a flexible production line's self-adaptation matching control system, is applied to the flexible production line that a plurality of lathes jointly constitute, each lathe accomplishes different processing steps, and this flexible production line's self-adaptation matching control system includes: the device comprises an acquisition module, a trend analysis module, a prediction module, a judgment module and an adjustment module;
the acquisition module is used for acquiring the operation parameters of a plurality of machine tools and sending the operation parameters to the trend analysis module and the prediction module, wherein the operation parameters comprise historical operation parameter information and current operation parameter information;
the trend analysis module is used for preprocessing the historical operation parameter information to obtain an operation parameter set to be analyzed, inputting the operation parameter set to be analyzed into a trend analysis model to obtain a change trend coefficient of the historical operation parameter information, and sending the change trend coefficient of the historical operation parameter information to the prediction module;
the prediction module is used for receiving the current operation parameter information and the change trend coefficient, and calculating according to the change trend coefficient and the current operation parameter information to obtain predicted operation parameter information;
the judging module is used for judging whether the predicted operation parameter information accords with preset standard operation parameter information or not;
if the predicted operation parameter information does not accord with the preset standard operation parameter information, the judging module is also used for calculating the difference between the predicted operation parameter information and the preset standard operation parameter information and calibrating the difference as a standard error value;
the method is also used for judging whether the standard error value is in a preset deviation interval or not;
if the standard error value is in a preset deviation interval, the judging module is used for outputting early warning information;
if the standard error value is not in the preset deviation interval, the judging module is used for outputting alarm information;
the adjusting module is used for receiving the early warning information and adjusting the operation parameters of the machine tool according to the early warning information.
Further, the trend analysis module comprises a calling unit, a partitioning unit and a trend analysis unit;
the calling unit is used for constructing a trend analysis period and calibrating historical operation parameter information in the trend analysis period into a historical operation parameter set;
the partition unit is used for judging whether each piece of historical operation parameter information in the historical operation parameter set meets a standard threshold value, calibrating the historical operation parameter information which does not meet the standard threshold value as an abnormal node, calibrating a time period between two adjacent abnormal nodes as a trend analysis time period, and calibrating the historical operation parameter information in the trend analysis time period as an operation parameter set to be analyzed;
the trend analysis unit is used for inputting the operation parameter set to be analyzed into the trend analysis model, and obtaining the change trend coefficient of the historical operation parameter information in the trend analysis period through the trend analysis model.
Further, a trend analysis function is preset in the trend analysis model, and the trend analysis function is as follows:
；
wherein ,trend coefficient representing historical operating parameter information, +.>Representing the number of trend analysis periods,all represent the duration of participation in the calculation during the trend analysis period,/-, respectively>Numbers of historical operation parameter information which participate in operation in trend analysis period are all represented, and +.>All representing historical operating parameter information participating in the operation during the trend analysis period,/for the trend analysis period>Each representing the amount of historical operating parameter information over a trend analysis period.
Further, the partition unit comprises a checking subunit, wherein the checking subunit is used for judging continuity of the historical operation parameter information corresponding to the abnormal node, and calibrating the abnormal node with discontinuous historical operation parameter information as instantaneous data.
Further, a check interval and an allowable fluctuation interval are preset in the check subunit, and the check interval comprises a plurality of check nodes;
the verification subunit is used for calculating the deviation value between the historical operation parameter information corresponding to each verification node and the historical operation parameter information corresponding to the abnormal node, screening out the maximum deviation value between the historical operation parameter information corresponding to the verification node and the historical operation parameter information corresponding to the abnormal node, and calibrating the maximum deviation value as a verification difference value;
the checking subunit is further configured to compare the checking difference value with the allowable fluctuation interval;
if the check difference value is within the allowable fluctuation interval, judging that the historical operation parameter information corresponding to the abnormal node is continuous;
and if the check difference value is out of the allowable fluctuation interval, judging that the historical operation parameter information corresponding to the abnormal node is discontinuous, and calibrating the abnormal node as instantaneous data.
Further, the partition unit further comprises a rejecting subunit, wherein the rejecting subunit is used for rejecting the instant data in the trend analysis period.
Further, a prediction formula is preset in the prediction module, and the prediction formula is as follows:
the predictive formula is:, in the formula ,/>Representing predicted operating parameter information->Representing current operating parameter information->Indicates the predicted duration,/-, for>And the change trend coefficient of the historical operation parameter information is represented.
Further, the judging module comprises a comparing unit, a calculating unit and an alarming unit;
standard operation parameter information is preset in the comparison unit, and the comparison unit is used for comparing the predicted operation parameter information with the standard operation parameter information;
if the predicted operation parameter information does not accord with the standard operation parameter information, the calculation unit calculates a difference value between the predicted operation parameter information and the standard operation parameter information, marks the difference value as a standard error value, and synchronously outputs the standard error value;
a deviation interval is preset in the alarm unit, and the alarm unit is used for judging whether the standard error value is in the deviation interval or not;
if the standard error value is in the deviation interval, the alarm unit is used for outputting early warning information;
and if the standard error value is not in the deviation interval, the alarm unit is used for outputting alarm information.
Further, the alarm unit comprises a judging subunit and an output subunit, the deviation interval is preset in the judging subunit, the judging subunit is used for judging whether the standard error value is in the deviation interval, and the output subunit generates and outputs early warning information or alarm information according to the judging result of the judging subunit;
if the standard error value is in the deviation interval, the output subunit generates early warning information and outputs the early warning information;
and if the standard error value is not in the deviation interval, the output subunit generates alarm information and outputs the alarm information.
Further, the alarm unit further comprises a timing subunit, wherein standard duration is set in the timing subunit, and the timing subunit acquires the duration of the early warning information in real time and compares the duration with the standard duration;
if the duration exceeds the standard duration, the early warning information is promoted to alarm information, and the alarm information is output.
By means of the technical scheme, the application provides a self-adaptive matching control system of a flexible production line, which has at least the following beneficial effects:
according to the embodiment of the application, the historical operating parameter information is preprocessed through the trend analysis module to obtain an operating parameter set to be analyzed, the operating parameter set to be analyzed is input into the trend analysis module to obtain a change trend coefficient of the historical operating parameter information, the change trend coefficient is combined with the current operating parameter information to calculate to obtain the predicted operating parameter information through the prediction module, the judgment module judges whether the predicted operating parameter information accords with preset standard operating parameter information, if the predicted operating parameter information accords with the preset standard operating parameter information, the predicted operating parameter information in the next period is continuously judged, if the predicted operating parameter information does not accord with the preset standard operating parameter information, the difference between the predicted operating parameter information and the preset standard operating parameter information is calculated through the judgment module, the difference is calibrated to be a standard error value, then the judgment module judges whether the standard error value is in a preset deviation interval, if the standard error value is in the preset deviation interval, the judgment module receives the early warning information and then adjusts the operating parameter of the machine tool according to the early warning information, if the standard error value is not in the preset deviation interval, the judgment module can not adjust the operating parameter of the machine tool according to the early warning information, the machine tool operating parameter can be adjusted manually, and the quality of the machine tool can be prevented from being adjusted only by the prediction operating parameter can be adjusted through the judgment module if the early warning module judges that the predicted operating parameter information does not accord with the preset operating parameter information, avoiding the damage of the flexible production line.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, illustrate and together with the description serve to explain a part of the application:
FIG. 1 is a block diagram of an adaptive matching control system for a flexible production line according to an embodiment of the present application;
fig. 2 is a flowchart of an operation of an adaptive matching control system of a flexible production line according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1 and 2, an embodiment of the present application provides an adaptive matching control system for a flexible production line, which is applied to a flexible production line formed by combining a plurality of machine tools, wherein each machine tool completes different processing procedures, and the adaptive matching control system for the flexible production line includes an acquisition module, a trend analysis module, a judgment module and an adjustment module;
the acquisition module is used for acquiring the operation parameters of the plurality of machine tools and sending the operation parameters to the trend analysis module and the prediction module, wherein the operation parameters comprise historical operation parameter information and current operation parameter information;
the trend analysis module is used for preprocessing the historical operation parameter information to obtain an operation parameter set to be analyzed, inputting the operation parameter set to be analyzed into the trend analysis model to obtain a change trend coefficient of the historical operation parameter information, and sending the change trend coefficient of the historical operation parameter information to the prediction module;
the prediction module is used for receiving the current operation parameter information and the change trend coefficient and calculating the predicted operation parameter information according to the change trend coefficient and the current operation parameter information;
the judging module is used for judging whether the predicted operation parameter information accords with preset standard operation parameter information;
if the predicted operation parameter information does not accord with the preset standard operation parameter information, the judging module is also used for calculating the difference between the predicted operation parameter information and the preset standard operation parameter information and calibrating the difference as a standard error value;
the method is also used for judging whether the standard error value is in a preset deviation interval or not;
if the standard error value is in the preset deviation interval, the judging module is used for outputting early warning information;
if the standard error value is not in the preset deviation interval, the judging module is used for outputting alarm information;
the adjusting module is used for receiving the early warning information and adjusting the operation parameters of the machine tool according to the early warning information.
The flexible production line is a production line which is formed by connecting a plurality of adjustable machine tools and matching with an automatic operation device, and combines a plurality of production modes by means of computer management, so that the production cost is reduced, and the best use is achieved. Each machine tool in the flexible production line needs to meet certain operation parameters to work normally, but the operation parameters are often influenced by the machine tool or the external environment to change, if the machine tool is not handled in time, the production efficiency and quality of the flexible production line are affected, and the flexible production line is damaged when the machine tool is serious.
According to the embodiment of the application, the historical operation parameter information is preprocessed through the trend analysis module to obtain an operation parameter set to be analyzed, the operation parameter set to be analyzed is input into the trend analysis module to obtain a change trend coefficient of the historical operation parameter information, the change trend coefficient is combined with the current operation parameter information through the prediction module to calculate to obtain the predicted operation parameter information, the judgment module is used for judging whether the predicted operation parameter information accords with preset standard operation parameter information, if the predicted operation parameter information accords with the preset standard operation parameter information, the predicted operation parameter information in the next period is continuously judged, if the predicted operation parameter information does not accord with the preset standard operation parameter information, a difference value between the predicted operation parameter information and the preset standard operation parameter information is calculated through the judgment module, the difference value is calibrated to be a standard error value, then the judgment module is used for judging whether the standard error value is in a preset deviation interval, if the standard error value is in the preset deviation interval, the judgment module is used for outputting early warning information, and the adjustment module is used for adjusting the operation parameters of the machine tool according to the early warning information after receiving the early warning information. The historical operation parameter information comprises air pressure information, temperature information, voltage information and the like when the machine tool is operated, and the machine tool operation parameter information contained in the prediction operation parameter information and the standard operation parameter information corresponds to the historical operation parameter information one by one. When the air pressure information in the predicted parameter information does not accord with the air pressure information in the standard operation parameter information, a judgment module calculates a difference value between the air pressure information in the predicted parameter information and the air pressure information in the standard operation parameter information, marks the difference value as a standard error value, compares the standard error value with the air pressure information in a deviation interval, and when the standard error value is in the deviation interval, the judgment module sends out early warning information, and an adjustment module adjusts the air pressure of the machine tool operation by adjusting the output power of the air compression device according to the early warning information. It can be understood that the adjusting module can also adjust the temperature of the machine tool during operation by controlling the output power of the temperature adjusting device, and adjust the voltage of the machine tool during operation by controlling the voltage stabilizing device, wherein the temperature adjusting device is an air conditioner, and the voltage stabilizing device can be a voltage stabilizer. According to the scheme, not only can the predicted operation parameter information of the machine tool be predicted, but also the predicted operation parameter information can be judged and analyzed through the judging module, and the operation parameters of the machine tool can be adjusted in advance through the adjusting module, so that the operation parameters of the machine tool are prevented from being abnormal, the production efficiency and quality are improved, and the flexible production line is prevented from being damaged.
The self-adaptive matching control system of the flexible production line provided by the embodiment of the application further comprises a central control module, a storage module and an acquisition module. The central control module is used for obtaining information circulation among the module, the trend analysis module, the judging module, the adjusting module, the storage module and the acquisition module. It should be noted that, the information flow between the acquisition module, the trend analysis module, the judgment module, the adjustment module, the storage module and the acquisition module is controlled by the central control module to receive and transmit, the information flow includes the information input and output of the above modules, and it should be noted that the manner in which the central control module controls the information flow between the modules can be performed by the existing control manner, which is not repeated here. The storage module is used for storing the operation parameter information of each machine tool, and at least comprises one of a local storage device and a cloud storage device. The acquisition module is used for acquiring the current operation parameter information of each machine tool in real time and transmitting the current operation parameter information to the storage module. The acquisition module acquires the running parameter information of the machine tool in real time through various sensors arranged on the machine tool to obtain the current running parameter information. After the acquisition module obtains the current operation parameter information, the information circulation is carried out between the central control module and the storage module, so that the current operation parameter information is stored in the storage module, and the current operation parameter information is converted into historical operation parameter information along with the circulation of time. It will be appreciated that the collection of current operating parameter information may be performed by air pressure sensors, temperature sensors, voltage sensors, etc.
The acquisition module is used for acquiring the operation parameters of the machine tools, and the acquisition module invokes the operation parameters of the machine tools stored in the storage module through the central control module and transmits the operation parameters to the modules so that the modules invoke the operation parameters of the machine tools and analyze and process the operation parameters.
Illustratively, the trend analysis module includes a calling unit, a partitioning unit, and a trend analysis unit;
the calling unit is used for constructing a trend analysis period and calibrating historical operation parameter information in the trend analysis period into a historical operation parameter set;
the partition unit is used for judging whether each piece of historical operation parameter information in the historical operation parameter set meets a standard threshold value, calibrating the historical operation parameter information which does not meet the standard threshold value as an abnormal node, calibrating a time period between two adjacent abnormal nodes as a trend analysis time period, and calibrating the historical operation parameter information in the trend analysis time period as an operation parameter set to be analyzed;
the trend analysis unit is used for inputting the operation parameter set to be analyzed into a trend analysis model, and obtaining the change trend coefficient of the historical operation parameter information in the trend analysis period through the trend analysis model.
It should be noted that, the flexible production line is mainly in order to adapt to the demands of multiple varieties and small batches of current market orders, and the production line is frequently changed, so that the flexible production line is often cut according to the production condition of the orders in the use process, namely, the production of one product is switched to the production of another product, and because the types of the produced products are different, the production process is different, the use frequency of each machine tool is generally different when different products are produced, so that the change trend coefficient of the historical operation parameter information of the machine tool is different when different products are produced, the change trend coefficient is different, the accuracy of the prediction result of the prediction module is directly influenced, and the historical operation parameter information is partitioned, so that the change trend coefficient of the operation parameters of the machine tool under different use frequencies is distinguished.
The trend analysis period is built through the calling unit, the trend analysis period is built based on the running period of the currently produced product, the trend analysis period can be the historical running period of the currently produced product, and can also be a time period in the historical running period of the currently produced product, and the calling unit marks all historical running parameter information in the trend analysis period as a historical running parameter set.
The method comprises the steps that a standard threshold value is preset in a partition unit, when the partition unit executes, each piece of historical operation parameter information in a historical operation parameter set is compared with the standard threshold value respectively, so that whether each piece of historical operation parameter information in the historical operation parameter set meets the standard threshold value or not is judged, the historical operation parameter information which does not meet the standard threshold value is calibrated to be an abnormal node, after calibration of the abnormal node is completed, time nodes corresponding to the abnormal nodes are obtained, the abnormal nodes are ordered according to the sequence of the time nodes, two abnormal nodes adjacent to the time node are screened out, a time period between the two abnormal nodes adjacent to the time node is calibrated to be a trend analysis time period, and the historical operation parameter information in the trend analysis time period is calibrated to be an operation parameter set to be analyzed. The standard threshold value refers to a threshold value of fluctuation of an operation parameter, and the standard threshold value is preset according to the fluctuation amount of the parameter in the operation process of the machine tool. Firstly, collecting historical operation parameter information, summarizing the historical operation parameter information together, counting fluctuation values among adjacent historical operation parameter information, and then calibrating an average value of the fluctuation values as a standard threshold value.
The trend analysis unit is provided with a trend analysis model in advance, and when the trend analysis unit executes, the trend analysis unit receives the operation parameter set to be analyzed in the trend analysis period, inputs the operation parameter set to be analyzed into the trend analysis model, and calculates the change trend coefficient of the historical operation parameter information in the trend analysis period through the trend analysis model.
A trend analysis function is preset in the trend analysis model, and the trend analysis function is as follows:
；
wherein ,trend coefficient representing historical operating parameter information, +.>Representing the number of trend analysis periods,all represent the duration of participation in the calculation during the trend analysis period,/-, respectively>Numbers of historical operation parameter information which participate in operation in trend analysis period are all represented, and +.>All representing historical operating parameter information participating in the operation during the trend analysis period,/for the trend analysis period>All represent historical operating parameters over a trend analysis periodNumber of pieces of number information.
Through the functions, firstly, the average value of the difference value between each adjacent historical operation parameter information in the trend analysis period is calculated, then, the average value of the difference value between each adjacent historical operation parameter information in each trend analysis period in the trend analysis period is calculated, the average value of the difference value between each adjacent historical operation parameter information in each trend analysis period in the trend analysis period is calibrated to be a change trend coefficient, the accuracy of the change trend coefficient is improved, and it can be understood that when the historical operation parameter information contains multiple parameter information, various parameter information needs to be calculated respectively to obtain the change trend coefficient of various parameters, for example, when the historical operation parameter comprises air pressure information, temperature information and voltage information, the air pressure information, the temperature information and the voltage information are input into the trend analysis function respectively to obtain the air pressure change trend coefficient, the stable change trend coefficient and the voltage change trend coefficient.
The partition unit includes a checking subunit, where the checking subunit is configured to determine continuity of the historical operating parameter information corresponding to the abnormal node, and mark the abnormal node with discontinuous historical operating parameter information as the transient data.
In the above description, the transient data is transient abnormal data, which has contingency and extremely short occurrence time, and does not affect the normal operation of the machine tool, but the transient data may affect the accuracy of prediction by the prediction module. According to the embodiment of the application, the verification subunit is arranged, the continuity of the historical operation parameter information corresponding to the abnormal node is judged through the verification subunit, and the abnormal node with discontinuous historical operation parameter information is marked as the instant data, so that accidental occurrence is realized, the time is extremely short, and abnormal data which does not influence the normal operation of the machine tool is screened out.
The verification subunit is preset with a verification interval and an allowable fluctuation interval, wherein the verification interval comprises a plurality of verification nodes;
the verification subunit is used for calculating the deviation value between the historical operation parameter information corresponding to each verification node and the historical operation parameter information corresponding to the abnormal node, screening out the maximum deviation value between the historical operation parameter information corresponding to the verification node and the historical operation parameter information corresponding to the abnormal node, and calibrating the maximum deviation value as a verification difference value;
the verification subunit is further used for comparing the verification difference value with the allowable fluctuation interval;
if the verification difference value is within the allowable fluctuation interval, judging that the historical operation parameter information corresponding to the abnormal node is continuous;
if the verification difference value is outside the allowable fluctuation interval, the historical operation parameter information corresponding to the abnormal node is judged to be discontinuous, and the abnormal node is marked as instantaneous data.
It should be noted that, the fluctuation interval is allowed to be preset in the checking subunit, after the abnormal node is confirmed, the checking subunit obtains the time node corresponding to the abnormal node, the time node is used as the starting time node of the checking interval, the time node corresponding to the fixed time interval after the time node corresponding to the abnormal node is used as the ending time node of the checking interval, and the time node between the starting time node and the ending time node is used as the checking node. And then, respectively calculating the deviation value between the historical operation parameter information corresponding to each check node and the historical operation parameter information corresponding to the abnormal node, screening out the maximum deviation value between the historical operation parameter information corresponding to the check node and the historical operation parameter information corresponding to the abnormal node, and calibrating the maximum deviation value as a check difference value. And finally, the verification subunit compares the verification difference value with the allowable fluctuation interval, judges that the historical operation parameter information corresponding to the verification difference value outside the allowable fluctuation interval is discontinuous, and marks the abnormal node as instantaneous data.
The partition unit further includes a culling subunit for culling the transient data in the trend analysis period. The eliminating subunit is used for deleting the instant data in the trend analysis period, so that the historical operation parameter information corresponding to the abnormal nodes at the two ends of the trend analysis period is continuous, and the accuracy of the prediction result of the prediction module is improved. It can be understood that when the rejecting subunit deletes the transient data, the time node corresponding to the transient data is deleted at the same time.
The prediction module is preset with a prediction formula, and the prediction formula is as follows:
, in the formula ,/>Representing predicted operating parameter information->Representing current operating parameter information->Indicates the predicted duration,/-, for>And the change trend coefficient of the historical operation parameter information is represented. Through the formula, the predicted operation parameter information corresponding to the time node of the predicted time length pair can be calculated after the current operation parameter information, the change trend coefficient of the historical operation parameter information and the predicted time length information are input.
The judging module comprises a comparing unit, a calculating unit and an alarming unit;
standard operation parameter information is preset in the comparison unit, and the comparison unit is used for comparing the predicted operation parameter information with the standard operation parameter information;
if the predicted operation parameter information does not accord with the standard operation parameter information, the calculating unit calculates the difference between the predicted operation parameter information and the standard operation parameter information and synchronously outputs a standard error value;
a deviation interval is preset in the alarm unit, and the alarm unit is used for judging whether the standard error value is in the deviation interval or not;
if the standard error value is in the deviation interval, the alarm unit is used for outputting early warning information;
and if the standard error value is not in the deviation interval, the alarm unit is used for outputting alarm information.
It should be noted that, standard operation parameter information is preset in the comparison unit, the comparison unit is configured to compare the predicted operation parameter information with the standard operation parameter information, if the predicted operation parameter information accords with the standard operation parameter information, the comparison is continued on the predicted operation parameter information corresponding to the next time node, if the predicted operation parameter information does not accord with the standard operation parameter information, a difference value between the predicted operation parameter information and the standard operation parameter information is calculated by the calculation unit, the difference value is calibrated to be a standard error value, and the standard error value is synchronously output. The alarm unit is used for comparing the standard error value with the deviation interval, judging whether the standard error value is in the deviation interval, generating early warning information or alarm information according to a judging result, and outputting the early warning information or the alarm information.
The alarm unit comprises a judging subunit and an output subunit, wherein the deviation interval is preset in the judging subunit, the judging subunit is used for judging whether the standard error value is in the deviation interval, and the output subunit generates and outputs early warning information or alarm information according to the judging result of the judging subunit;
if the standard error value is in the deviation interval, the output subunit generates early warning information and outputs the early warning information;
if the standard error value is not in the deviation interval, the output subunit generates alarm information and outputs the alarm information.
The alarm unit judges whether the standard error value is in the deviation interval through the judging subunit, if the standard error value is in the deviation interval, the output subunit generates early warning information and outputs the early warning information so that the adjustment module can adjust the operation parameters of the machine tool through the early warning information, and if the standard error value is not in the deviation interval, the output subunit generates alarm information and outputs the alarm information so as to remind an operator to process in time.
The alarm unit further comprises a timing subunit, wherein the timing subunit is internally provided with standard duration, and the timing subunit acquires the duration of the early warning information in real time and compares the duration with the standard duration;
if the duration exceeds the standard duration, the early warning information is promoted to alarm information, and the alarm information is output.
It should be noted that, the timing subunit is configured to collect the duration of the early warning information, compare the duration with the standard duration, and if the duration exceeds the standard duration, indicate that the adjustment module cannot adjust the operation parameters of the machine tool to the normal range within a specified time, and require intervention of an operator, so that the machine tool is lifted to be the alarm information and output, so as to prompt the operator in time.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a flexible production line's self-adaptation matching control system, is applied to the flexible production line that a plurality of lathes jointly constitute, each lathe accomplishes different processing procedures, its characterized in that, this flexible production line's self-adaptation matching control system includes: the device comprises an acquisition module, a trend analysis module, a prediction module, a judgment module and an adjustment module;
the acquisition module is used for acquiring the operation parameters of a plurality of machine tools and sending the operation parameters to the trend analysis module and the prediction module, wherein the operation parameters comprise historical operation parameter information and current operation parameter information;
the trend analysis module is used for preprocessing the historical operation parameter information to obtain an operation parameter set to be analyzed, inputting the operation parameter set to be analyzed into a trend analysis model to obtain a change trend coefficient of the historical operation parameter information, and sending the change trend coefficient of the historical operation parameter information to the prediction module;
the prediction module is used for receiving the current operation parameter information and the change trend coefficient, and calculating according to the change trend coefficient and the current operation parameter information to obtain predicted operation parameter information;
the judging module is used for judging whether the predicted operation parameter information accords with preset standard operation parameter information or not;
if the predicted operation parameter information does not accord with the preset standard operation parameter information, the judging module is also used for calculating the difference between the predicted operation parameter information and the preset standard operation parameter information and calibrating the difference as a standard error value;
the method is also used for judging whether the standard error value is in a preset deviation interval or not;
if the standard error value is in a preset deviation interval, the judging module is used for outputting early warning information;
if the standard error value is not in the preset deviation interval, the judging module is used for outputting alarm information;
the adjusting module is used for receiving the early warning information and adjusting the operation parameters of the machine tool according to the early warning information.
2. The adaptive matching control system of a flexible production line according to claim 1, wherein the trend analysis module comprises a calling unit, a partitioning unit, and a trend analysis unit;
the calling unit is used for constructing a trend analysis period and calibrating historical operation parameter information in the trend analysis period into a historical operation parameter set;
the partition unit is used for judging whether each piece of historical operation parameter information in the historical operation parameter set meets a standard threshold value, calibrating the historical operation parameter information which does not meet the standard threshold value as an abnormal node, calibrating a time period between two adjacent abnormal nodes as a trend analysis time period, and calibrating the historical operation parameter information in the trend analysis time period as an operation parameter set to be analyzed;
the trend analysis unit is used for inputting the operation parameter set to be analyzed into the trend analysis model, and obtaining the change trend coefficient of the historical operation parameter information in the trend analysis period through the trend analysis model.
3. The adaptive matching control system of a flexible production line according to claim 2, wherein a trend analysis function is preset in the trend analysis model, and the trend analysis function is:
；
wherein ,trend coefficient representing historical operating parameter information, +.>Representing the number of trend analysis periods,all represent the duration of participation in the calculation during the trend analysis period,/-, respectively>Numbers of historical operation parameter information which participate in operation in trend analysis period are all represented, and +.>All representing historical operating parameter information participating in the operation during the trend analysis period,/for the trend analysis period>Each representing the amount of historical operating parameter information over a trend analysis period.
4. The adaptive matching control system of a flexible production line according to claim 2, wherein the partition unit comprises a checking subunit, and the checking subunit is configured to determine continuity of the historical operating parameter information corresponding to the abnormal node, and mark the abnormal node with discontinuous historical operating parameter information as the transient data.
5. The adaptive matching control system of a flexible production line according to claim 4, wherein a check interval and an allowable fluctuation interval are preset in the check subunit, and the check interval comprises a plurality of check nodes;
the verification subunit is used for calculating the deviation value between the historical operation parameter information corresponding to each verification node and the historical operation parameter information corresponding to the abnormal node, screening out the maximum deviation value between the historical operation parameter information corresponding to the verification node and the historical operation parameter information corresponding to the abnormal node, and calibrating the maximum deviation value as a verification difference value;
the checking subunit is further configured to compare the checking difference value with the allowable fluctuation interval;
if the check difference value is within the allowable fluctuation interval, judging that the historical operation parameter information corresponding to the abnormal node is continuous;
and if the check difference value is out of the allowable fluctuation interval, judging that the historical operation parameter information corresponding to the abnormal node is discontinuous, and calibrating the abnormal node as instantaneous data.
6. The adaptive matching control system of a flexible production line of claim 5, wherein the partition unit further comprises a culling subunit for culling transient data within the trend analysis period.
7. The adaptive matching control system of a flexible production line according to claim 1, wherein a prediction formula is preset in the prediction module, and the prediction formula is:
the predictive formula is:, in the formula ,/>Representing predicted operating parameter information->Representing current operating parameter information->Indicates the predicted duration,/-, for>And the change trend coefficient of the historical operation parameter information is represented.
8. The adaptive matching control system of a flexible production line according to claim 1, wherein the judging module comprises a comparing unit, a calculating unit and an alarming unit;
standard operation parameter information is preset in the comparison unit, and the comparison unit is used for comparing the predicted operation parameter information with the standard operation parameter information;
if the predicted operation parameter information does not accord with the standard operation parameter information, the calculation unit calculates a difference value between the predicted operation parameter information and the standard operation parameter information, marks the difference value as a standard error value, and synchronously outputs the standard error value;
a deviation interval is preset in the alarm unit, and the alarm unit is used for judging whether the standard error value is in the deviation interval or not;
if the standard error value is in the deviation interval, the alarm unit is used for outputting early warning information;
and if the standard error value is not in the deviation interval, the alarm unit is used for outputting alarm information.
9. The adaptive matching control system of the flexible production line according to claim 8, wherein the alarm unit comprises a judging subunit and an output subunit, the deviation interval is preset in the judging subunit, the judging subunit is used for judging whether the standard error value is in the deviation interval, and the output subunit generates and outputs early warning information or alarm information according to the judging result of the judging subunit;
if the standard error value is in the deviation interval, the output subunit generates early warning information and outputs the early warning information;
and if the standard error value is not in the deviation interval, the output subunit generates alarm information and outputs the alarm information.
10. The adaptive matching control system of a flexible production line according to claim 9, wherein the alarm unit further comprises a timing subunit, a standard duration is set in the timing subunit, and the timing subunit collects the duration of the early warning information in real time and compares the duration with the standard duration;
if the duration exceeds the standard duration, the early warning information is promoted to alarm information, and the alarm information is output.
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