CN111176174A - Multifunctional supervision system for stamping workshop - Google Patents

Multifunctional supervision system for stamping workshop Download PDF

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CN111176174A
CN111176174A CN202010005920.8A CN202010005920A CN111176174A CN 111176174 A CN111176174 A CN 111176174A CN 202010005920 A CN202010005920 A CN 202010005920A CN 111176174 A CN111176174 A CN 111176174A
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press
production
press machine
module
data
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CN111176174B (en
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黄海鸿
朱全琛
熊玮
甘雷
吕清宇
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Hefei University of Technology
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Hefei University of Technology
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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
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
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    • G05B2219/24024—Safety, surveillance

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Abstract

The invention discloses a multifunctional monitoring system facing a stamping workshop, which is applied to a production environment consisting of an X press, a transport trolley and N batches of processed workpieces; this multi-functional supervisory systems includes: the device comprises a parameter acquisition module, an energy consumption acquisition module, a data storage module, a data analysis processing module, a radio frequency identification module, an alarm module and a computer display and management module. The invention can monitor related information in various aspects of the stamping workshop in real time, discover abnormal states in time, improve the production safety, identify the real-time state of a dynamic object in the workshop by using the acquired real-time data and combining a data processing technology, continuously update an optimal production scheme, and provide good guidance for a manager to master the production dynamics and improve the efficiency and reduce the consumption.

Description

Multifunctional supervision system for stamping workshop
Technical Field
The invention relates to the field of data acquisition, processing, optimization and supervision of a stamping workshop, in particular to a multifunctional supervision system for the stamping workshop.
Background
The mechanical manufacturing industry of China is not independent of various metal parts and metal plates, and the stamping forming technology is particularly important as an important processing mode of the metal parts and the metal plates. The stamping workshop is an important production and processing workshop in a mechanical manufacturing enterprise, and the energy consumption cost of the stamping workshop accounts for an important part of the production cost of the enterprise and cannot be ignored. In addition, traditional punching press workshop data acquisition need rely on the manual work to read the table record, and this kind of mode not only the error is great, wastes time and energy moreover. On the other hand, a stamping workshop serving as a typical discrete manufacturing system is easily influenced by various external position factors in the production process, so that production halt and even safety accidents occur. With the development and popularization of new concepts and new technologies such as industrial internet, intelligent factories and the like, how to apply the acquisition communication technology and the production optimization method to a stamping workshop is one of the problems to be solved in the mechanical manufacturing industry.
In the prior art, some workshop production information management systems exist, but the systems are single in function, generally only collect some common parameters in a workshop, and do not monitor the production state and the machining process of the workshop, so that the machining state, the working state and the inventory state of a workpiece cannot be obtained, a production manager cannot know the real-time production state in time, and further cannot respond to the abnormal production state in time. In addition, these systems only perform simple summary processing on the collected data to generate various statistical charts, and do not optimize and evaluate the workshop production by using the collected data, so that production guidance suggestions and production evaluation criteria cannot be provided for production managers, which results in increased production cost and wasted time.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a multifunctional monitoring system for a stamping workshop, so that all-around real-time monitoring of various production information of the stamping workshop can be realized, and the production arrangement of the workshop is optimized, thereby improving the safety and efficiency of workshop production, reducing the production cost and providing reliable production guidance for a manager.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention relates to a multifunctional supervision system for a stamping workshop, which is characterized by being applied to an X-table press machine { Y1,Y2,…,Yx,…,YX}, transport trolley and N batch processing workpieces { C1,C2,…,Cn,…,CNIn a production environment consisting of YxDenotes an x-th press machine, CnIndicating the nth batch of workpieces to be processed and making the x-th press Yxthe working procedure carried out above is denoted as αxAnd the processing parameters of the nth batch of processed workpieces are recorded as InX is 1,2, …, X, N is 1,2, …, N; the multi-functional supervisory system includes: the system comprises a parameter acquisition module, an energy consumption acquisition module, a data storage module, a data analysis processing module, a radio frequency identification module and a computer display and management module;
the parameter acquisition module and the energy consumption acquisition module are arranged on the xth press machine YxOn and respectively collect the x-th press machine YxThe running parameters and the running energy consumption data are transmitted to the data storage module for storage through the communication of the internet access and the serial port, and are displayed on the computer display and management module in real time; the x-th press machine YxThe operating parameters of (a) include: x press machine YxProcessing the n-th batch of workpieces CnAt the end of the lower state of the pump flow rate Fx,nX th press YxProcessing the n-th batch of workpieces CnFlow F of the pump at the end of the snap-back conditionx′,nX th press YxProcessing the n-th batch of workpieces CnAny ith time of the pump
Figure BDA0002355284300000021
X press machine YxAt the ith time point, relative to the real-time distance of the lower limit point
Figure BDA0002355284300000022
X press machine YxIs opposite at the i-1 th momentReal-time distance to a lower limit point
Figure BDA0002355284300000023
The x-th press machine YxThe operational energy consumption data includes: x press machine YxStarting to press the nth batch processed workpiece CnReal time power P of timex,nX th press YxProcessing the n-th batch of workpieces CnReal-time power of any ith time
Figure BDA0002355284300000024
The data analysis processing module acquires the operation parameters and the operation energy consumption data from the data storage module and judges:
if it is
Figure BDA0002355284300000025
When it is, it means the x-th press machine YxIn a shutdown state;
if it is
Figure BDA0002355284300000026
When it is, it means the x-th press machine YxIn a pressed or pressure-holding state, if so
Figure BDA0002355284300000027
Further indicates the x-th press YxIn a pressed state if
Figure BDA0002355284300000028
Then it represents the xth press YxKeeping the pressure state;
if it is
Figure BDA0002355284300000029
And is
Figure BDA00023552843000000210
When it is, it means the x-th press machine YxIn a standby state;
if it is
Figure BDA00023552843000000211
And is
Figure BDA00023552843000000212
When it is, it means the x-th press machine YxIn a fast-down or slow-down state, if so
Figure BDA00023552843000000213
Further indicates the x-th press YxIn a fast-down state, otherwise, it represents the x-th press YxIn a slow state;
if it is
Figure BDA00023552843000000214
And is
Figure BDA00023552843000000215
When it is, it means the x-th press machine YxIn a fast-return or slow-return state, if so
Figure BDA00023552843000000216
Further indicates the x-th press YxIn a fast-return state, otherwise, it indicates the x-th press YxIn a slow return state;
the reader-writer of the radio frequency identification module is arranged on the xth press YxThe labels of the radio frequency identification modules are arranged on the transport trolley of the nth batch of workpieces to be processed; the label stores batch numbers corresponding to each batch of workpieces;
the transport trolley with the corresponding label is used for processing the nth batch of workpieces CnTransported to the x-th press YxUpper, the x-th press machine YxThe reader-writer at (1) records the arrival time t1And reading the production batch number n in the label on the transport trolley, transmitting the production batch number n to the data storage module, and correspondingly binding the processing parameter I with the production batch number n in the data storage modulenTransmitting the data to the computer display and management module for display;
when the x-th press machine YxFinish the nth batch processing of the workpiece Cnworking process axWhen the transport trolley with the corresponding label leaves the x-th press YxThe x-th press YxThe reader-writer at (1) records the leaving time t2and a working procedure alphakTransmitting the data to the computer display and management module for display, and indicating the nth batch of processed workpieces CnThe finished corresponding processing procedure of the workpiece;
the data analysis processing module calculates to obtain the nth batch of processing workpieces Cncompleting the working procedure alphakThe required processing time T is T ═ T2-t1And the data is transmitted to the data storage module for storage, and is displayed on the computer display and management module at the same time.
The invention relates to a multifunctional monitoring system for a stamping workshop, which is also characterized in that:
the production environment is also provided with a warehouse, various materials in the warehouse are correspondingly provided with corresponding labels according to types, the stock quantity of various materials is stored in the data storage module, meanwhile, a reader-writer of the radio frequency identification module is placed at an entrance and an exit of the warehouse, and when the materials provided with the labels enter the working range of the reader-writer, the reader-writer reads the types and the quantity of the labels, so that the data analysis processing module is utilized to calculate the residual stock of the materials of the corresponding types, and the residual stock is transmitted to the computer display and management module to be displayed.
And the alarm module is used for carrying out abnormal alarm on the monitored data when the monitored data exceeds the set range.
The production scheme is obtained according to the following processes:
step 1, setting a scheduling period tau and an energy efficiency evaluation standard s according to actual requirements; defining the periodicity as lambda;
step 2, initializing lambda as 1; generating an initial production scheme according to the historical data, and starting production in a lambda scheduling period according to the initial production scheme;
step 3, collecting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle in real time;
step 4, calculating real-time subjective weight and objective weight according to the operation parameters and operation energy consumption data of the press machine in the lambda scheduling cycle, thereby calculating comprehensive weight;
step 5, calculating the lambda-th scheduling internal energy efficiency score hλ；
Step 6, judging hλIf the number of the production processes is larger than s, continuing to maintain the current production scheme for continuous production, and if not, substituting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle into an intelligent algorithm for conditional scheduling, so as to obtain a new production scheme and perform production in the lambda-th scheduling cycle;
7, assigning lambda +1 to lambda when the production time reaches lambda multiplied by tau;
step 8, bringing the operation parameters and the operation energy consumption data of the press machine in the lambda-1 scheduling period into an intelligent algorithm for conditional scheduling to obtain a production scheme of the lambda scheduling period;
and 9, returning to the step 3.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention utilizes the modern computer technology to collect data to replace the traditional manual collection mode, improves the real-time and the accuracy of the data, simultaneously combines the production characteristics of the stamping workshop, designs and develops various functions which meet the actual production requirements of the stamping workshop, realizes the real-time monitoring of the equipment state transition, the workpiece state and the inventory state, provides convenience for a manager to master the workshop production state and find problems in time, simultaneously integrates a data analysis processing method into a system, and optimizes and evaluates the workshop production by combining with real-time data, thereby improving the workshop production efficiency and reducing the production cost.
2. The invention combines the data processing method with the RFID technology, updates the working procedure of the workpiece, the time required by each working procedure and the material stock state in real time, changes the current situation that a stamping workshop judges and records the state of the workpiece by manpower, and simultaneously provides the corresponding process parameters of each working procedure for workers, thereby improving the processing quality and reducing the defective rate.
3. The invention utilizes the press machine operation parameters acquired in real time to identify and divide the working stages of the press machine in real time, thereby defining the specific energy consumption of each working stage of the press machine and providing guidance for a manager to develop targeted optimization of each working stage of the press machine.
4. The method combines workshop scheduling and energy efficiency evaluation, and utilizes the related data acquired in real time to dynamically schedule the production of the stamping workshop, including periodic rescheduling and conditional rescheduling, so that the waste of time and energy consumption caused by the fact that a production scheme is not suitable for an actual production condition is avoided, and the method is more consistent with the requirements of energy conservation and efficiency improvement compared with the traditional stamping workshop which only carries out production according to one set of production scheme.
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FIG. 1 is a hardware and software architecture diagram of the present invention;
FIG. 2 is a flow chart of the present invention for identifying the working condition of the press;
FIG. 3 is a flow chart of the production optimization management function implementation of the present invention.
Detailed Description
In this embodiment, the stamping workshop is a typical discrete manufacturing workshop and is also a basic production workshop of the machine manufacturing industry, and because the production characteristics of the stamping workshop are obviously different from those of the traditional flow production workshop, analysis and design are required to be performed in a targeted manner.
Fig. 1 is a schematic diagram of a hardware and software structure of the present invention, and specifically, a multifunctional monitoring system for a stamping workshop includes the following functions: 1. monitoring the operation parameters of the press, 2, monitoring the energy consumption of auxiliary equipment, 3, monitoring the state of a workpiece, 4, monitoring the inventory state, 5, alarming the abnormal state, 6, identifying the working state of the press, and 7, optimizing and managing the production. The hardware part comprises: 1. the system comprises a parameter acquisition module 2, an energy consumption acquisition module 3, a data storage module 4, a data analysis processing module 5, a radio frequency identification module 6, an alarm module 7 and a computer display and management module.
Specifically, each parameter acquisition module comprises a Siemens 1200PLC, a plurality of sensors and an RJ45 communication line, wherein the sensors are placed on the press and connected with an analog input end of the Siemens 1200 PLC; each energy consumption acquisition module comprises an intelligent ammeter and an RS 485-USB communication line, and the intelligent ammeter is placed on equipment needing to be measured; each data storage module comprises a host provided with a database; the data analysis processing module comprises a host computer provided with a data processing program; each radio frequency identification module comprises a reader-writer and a plurality of labels; the alarm module comprises a host computer provided with an abnormal state diagnostic program and an audible and visual alarm; the computer display and management module comprises a host computer provided with a human-computer interaction program and a display screen. The host computers of the modules are connected with the same industrial switch through RS45 communication lines to form a workshop local area network for mutual communication.
FIG. 2 is a flow chart of the identification function of the press working state, in particular to a multifunctional monitoring system facing to a stamping workshop, which is applied to a press { Y) composed of X press machines1,Y2,…,Yx,…,YX}, transport trolley and N batch processing workpieces { C1,C2,…,Cn,…,CNIn a production environment consisting of YxDenotes an x-th press machine, CnIndicating the nth batch of workpieces to be processed and making the x-th press Yxthe working procedure carried out above is denoted as αxAnd the processing parameters of the nth batch of processed workpieces are recorded as In，x＝1,2,…,X，n＝1,2,…,N；
The parameter acquisition module and the energy consumption acquisition module are arranged on the xth press YxOn and respectively collect the x-th press machine YxThe running parameters and the running energy consumption data are transmitted to a data storage module for storage through the communication of the network port and the serial port, and are displayed on a computer display and management module in real time; x press machine YxThe operating parameters of (a) include: x press machine YxProcessing the n-th batch of workpieces CnAt the end of the lower state of the pump flow rate Fx,nX th press YxProcessing the n-th batch of workpieces CnFlow rate F 'of the pump at the end of the quick return state'x,nX th press YxIn addition toMachining workpiece C in nth batchnAny ith time of the pump
Figure BDA0002355284300000051
X press machine YxAt the ith time point, relative to the real-time distance of the lower limit point
Figure BDA0002355284300000052
X press machine YxThe real-time distance of the slide block at the i-1 th moment relative to the lower limit point
Figure BDA0002355284300000053
X press machine YxThe operational energy consumption data includes: x press machine YxStarting to press the nth batch processed workpiece CnReal time power P of timex,nX th press YxProcessing the n-th batch of workpieces CnReal-time power of any ith time
Figure BDA0002355284300000054
The data analysis processing module acquires the operation parameters and the operation energy consumption data from the data storage module and judges:
if it is
Figure BDA0002355284300000055
When it is, it means the x-th press machine YxIn a shutdown state;
if it is
Figure BDA0002355284300000061
When it is, it means the x-th press machine YxIn a pressed or pressure-holding state, if so
Figure BDA0002355284300000062
Further indicates the x-th press YxIn a pressed state if
Figure BDA0002355284300000063
Then watchX number press YxKeeping the pressure state;
if it is
Figure BDA0002355284300000064
And is
Figure BDA0002355284300000065
When it is, it means the x-th press machine YxIn a standby state;
if it is
Figure BDA0002355284300000066
And is
Figure BDA0002355284300000067
When it is, it means the x-th press machine YxIn a fast-down or slow-down state, if so
Figure BDA0002355284300000068
Further indicates the x-th press YxIn a fast-down state, otherwise, it represents the x-th press YxIn a slow state;
if it is
Figure BDA0002355284300000069
And is
Figure BDA00023552843000000610
When it is, it means the x-th press machine YxIn a fast-return or slow-return state, if so
Figure BDA00023552843000000611
Further indicates the x-th press YxIn a fast-return state, otherwise, it indicates the x-th press YxIn a slow return state;
the reader-writer of the radio frequency identification module is arranged on the xth press YxThe labels of the radio frequency identification modules are arranged on the transport trolley of the nth batch of workpieces to be processed; the label stores the batch number corresponding to each batch of workpieces;
the nth batch of processing tools are arranged on the transport trolley with the corresponding labelsPart CnTransported to the x-th press YxUpper, x-th press machine YxThe reader-writer at (1) records the arrival time t1And reading the production batch number n in the label on the transport trolley, transmitting the production batch number n to the data storage module, and correspondingly binding the processing parameter I with the production batch number n in the data storage modulenTransmitting the data to a computer display and management module for display;
when the x-th press machine YxFinish the nth batch processing of the workpiece Cnworking process axWhen the transport trolley with the corresponding label leaves the x-th press YxX th press YxThe reader-writer at (1) records the leaving time t2and a working procedure alphakTransmitting the workpiece C to a computer display and management module for display, and indicating the nth batch of processed workpieces CnThe finished corresponding processing procedure of the workpiece;
the data analysis processing module calculates to obtain the nth batch of processing workpieces Cncompleting the working procedure alphakThe required processing time T is T ═ T2-t1And the data is transmitted to the data storage module for storage, and is displayed on the computer display and management module.
In the concrete implementation, a warehouse is also arranged in the production environment, various materials in the warehouse are correspondingly provided with corresponding tags according to types, the stock quantity of various materials is stored in a data storage module, meanwhile, a reader-writer of a radio frequency identification module is placed at an entrance and an exit of the warehouse, and when the materials provided with the tags enter the working range of the reader-writer, the reader-writer reads the types and the quantity of the tags, so that the data analysis processing module is utilized to calculate the residual stock of the materials of the corresponding types, and the residual stock is transmitted to a computer display and management module to be displayed.
In specific implementation, the multifunctional monitoring system facing the stamping workshop is also provided with an alarm module, a host of the alarm module performs internet access communication through a local area network to read related data in the data storage module in real time, and loads the data into an abnormal state diagnosis program for performing abnormal alarm on the monitored data when the monitored data exceeds a set range, and the audible and visual alarm is used for reminding a manager of abnormal conditions.
Fig. 3 is a flow chart of the production optimization management function implementation of the present invention, and specifically, a stamping workshop-oriented multifunctional supervisory system obtains a production scheme according to the following processes:
step 1, setting a scheduling period tau and an energy efficiency evaluation standard s according to actual requirements; defining the periodicity as lambda;
step 2, initializing lambda as 1; generating an initial production scheme according to the historical data, and starting production in a lambda scheduling period according to the initial production scheme;
step 3, collecting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle in real time;
step 4, calculating real-time subjective weight and objective weight according to the operation parameters and operation energy consumption data of the press machine in the lambda scheduling cycle, thereby calculating comprehensive weight; the subjective weight is calculated by adopting an attribute hierarchy method, the objective weight is calculated by adopting an entropy method, and the comprehensive weight is calculated by adopting a formula: w ═ μ Wa+(1-μ)wbTo determine, wherein, waIs an objective weight, wbFor subjective weight, μ is a weighting parameter, μ ∈ [0.5,1 ] when the decision is biased toward subjective weight]When the decision is biased toward objective weight, μ e 0,0.5]。
Step 5, calculating the lambda-th scheduling internal energy efficiency score hλ；
Step 6, judging hλIf the number of the production processes is larger than s, continuing to maintain the current production scheme for continuous production, and if not, substituting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle into an intelligent algorithm for conditional scheduling, so as to obtain a new production scheme and perform production in the lambda-th scheduling cycle;
7, assigning lambda +1 to lambda when the production time reaches lambda multiplied by tau;
step 8, bringing the operation parameters and the operation energy consumption data of the press machine in the lambda-1 scheduling period into an intelligent algorithm for conditional scheduling to obtain a production scheme of the lambda scheduling period;
and 9, returning to the step 3.
In conclusion, the system monitors the production parameters of the stamping workshop in real time from multiple aspects and generates records, so that a production manager can find out the abnormity in the production process in time, and the production safety is improved. In addition, by combining with the modern computer information technology, the acquired related data is analyzed and processed, the running states of workpieces and equipment in a workshop are automatically judged, timely and effective information is provided for a production manager to master the production progress, and meanwhile, the production scheme is dynamically optimized and updated, so that the production efficiency is improved, and the energy consumption cost is reduced.

Claims (4)

1. A multifunctional supervision system for a stamping workshop is characterized by being applied to an X-table press machine { Y1,Y2,…,Yx,…,YX}, transport trolley and N batch processing workpieces { C1,C2,…,Cn,…,CNIn a production environment consisting of YxDenotes an x-th press machine, CnIndicating the nth batch of workpieces to be processed and making the x-th press Yxthe working procedure carried out above is denoted as αxAnd the processing parameters of the nth batch of processed workpieces are recorded as InX is 1,2, …, X, N is 1,2, …, N; the multi-functional supervisory system includes: the system comprises a parameter acquisition module, an energy consumption acquisition module, a data storage module, a data analysis processing module, a radio frequency identification module and a computer display and management module;
the parameter acquisition module and the energy consumption acquisition module are arranged on the xth press machine YxOn and respectively collect the x-th press machine YxThe running parameters and the running energy consumption data are transmitted to the data storage module for storage through the communication of the internet access and the serial port, and are displayed on the computer display and management module in real time; the x-th press machine YxThe operating parameters of (a) include: x press machine YxProcessing the n-th batch of workpieces CnAt the end of the lower state of the pump flow rate Fx,nX th press YxProcessing the n-th batch of workpieces CnFlow rate F 'of the pump at the end of the quick return state'x,nX th press YxProcessing the n-th batch of workpieces CnAny ith time of the pump
Figure FDA0002355284290000011
X press machine YxAt the ith time point, relative to the real-time distance of the lower limit point
Figure FDA0002355284290000012
X press machine YxThe real-time distance of the slide block at the i-1 th moment relative to the lower limit point
Figure FDA0002355284290000013
The x-th press machine YxThe operational energy consumption data includes: x press machine YxStarting to press the nth batch processed workpiece CnReal time power P of timex,nX th press YxProcessing the n-th batch of workpieces CnReal-time power of any ith time
Figure FDA0002355284290000014
The data analysis processing module acquires the operation parameters and the operation energy consumption data from the data storage module and judges:
if it is
Figure FDA0002355284290000015
When it is, it means the x-th press machine YxIn a shutdown state;
if it is
Figure FDA0002355284290000016
When it is, it means the x-th press machine YxIn a pressed or pressure-holding state, if so
Figure FDA0002355284290000017
Further indicates the x-th press YxIn a pressed state if
Figure FDA0002355284290000018
Then it represents the xth press YxKeeping the pressure state;
if it is
Figure FDA0002355284290000019
And is
Figure FDA00023552842900000110
When it is, it means the x-th press machine YxIn a standby state;
if it is
Figure FDA00023552842900000111
And is
Figure FDA00023552842900000112
When it is, it means the x-th press machine YxIn a fast-down or slow-down state, if so
Figure FDA00023552842900000113
Further indicates the x-th press YxIn a fast-down state, otherwise, it represents the x-th press YxIn a slow state;
if it is
Figure FDA0002355284290000021
And is
Figure FDA0002355284290000022
When it is, it means the x-th press machine YxIn a fast-return or slow-return state, if so
Figure FDA0002355284290000023
Further indicates the x-th press YxIn a fast-return state, otherwise, it indicates the x-th press YxIn a slow return state;
the reader-writer of the radio frequency identification module is arranged on the xth press YxThe label of the radio frequency identification module is arranged on the transportation of the nth batch of workpieces to be processedOn a trolley; the label stores batch numbers corresponding to each batch of workpieces;
the transport trolley with the corresponding label is used for processing the nth batch of workpieces CnTransported to the x-th press YxUpper, the x-th press machine YxThe reader-writer at (1) records the arrival time t1And reading the production batch number n in the label on the transport trolley, transmitting the production batch number n to the data storage module, and correspondingly binding the processing parameter I with the production batch number n in the data storage modulenTransmitting the data to the computer display and management module for display;
when the x-th press machine YxFinish the nth batch processing of the workpiece Cnworking process axWhen the transport trolley with the corresponding label leaves the x-th press YxThe x-th press YxThe reader-writer at (1) records the leaving time t2and a working procedure alphakTransmitting the data to the computer display and management module for display, and indicating the nth batch of processed workpieces CnThe finished corresponding processing procedure of the workpiece;
the data analysis processing module calculates to obtain the nth batch of processing workpieces Cncompleting the working procedure alphakThe required processing time T is T ═ T2-t1And the data is transmitted to the data storage module for storage, and is displayed on the computer display and management module at the same time.
2. The multifunctional monitoring system for the stamping workshop as claimed in claim 1, wherein a warehouse is further arranged in the production environment, corresponding tags are correspondingly arranged on various materials in the warehouse according to types, the stock quantity of the various materials is stored in the data storage module, a reader-writer of the radio frequency identification module is placed at an entrance and exit of the warehouse, and when the materials with the tags enter the working range of the reader-writer, the reader-writer reads the types and the quantity of the tags, so that the data analysis processing module is used for calculating the residual stock of the materials of the corresponding types and transmitting the residual stock to the computer display and management module for display.
3. The multifunctional monitoring system for the stamping workshop according to claim 1, wherein an alarm module is further provided for alarming abnormality when the monitored data exceeds the set range.
4. The multifunctional supervision system for a stamping plant according to claim 1, characterized in that the production scheme is obtained as follows:
step 1, setting a scheduling period tau and an energy efficiency evaluation standard s according to actual requirements; defining the periodicity as lambda;
step 2, initializing lambda as 1; generating an initial production scheme according to the historical data, and starting production in a lambda scheduling period according to the initial production scheme;
step 3, collecting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle in real time;
step 4, calculating real-time subjective weight and objective weight according to the operation parameters and operation energy consumption data of the press machine in the lambda scheduling cycle, thereby calculating comprehensive weight;
step 5, calculating the lambda-th scheduling internal energy efficiency score hλ；
Step 6, judging hλIf the number of the production processes is larger than s, continuing to maintain the current production scheme for continuous production, and if not, substituting the operation parameters and the operation energy consumption data of the press machine in the lambda-th scheduling cycle into an intelligent algorithm for conditional scheduling, so as to obtain a new production scheme and perform production in the lambda-th scheduling cycle;
7, assigning lambda +1 to lambda when the production time reaches lambda multiplied by tau;
step 8, bringing the operation parameters and the operation energy consumption data of the press machine in the lambda-1 scheduling period into an intelligent algorithm for conditional scheduling to obtain a production scheme of the lambda scheduling period;
and 9, returning to the step 3.
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