CN111414983A - Processing workshop electric energy consumption control method based on radio frequency identification and scheduling - Google Patents

Processing workshop electric energy consumption control method based on radio frequency identification and scheduling Download PDF

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CN111414983A
CN111414983A CN202010221181.6A CN202010221181A CN111414983A CN 111414983 A CN111414983 A CN 111414983A CN 202010221181 A CN202010221181 A CN 202010221181A CN 111414983 A CN111414983 A CN 111414983A
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machining
workshop
radio frequency
machine tool
frequency identification
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CN111414983B (en
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胡罗克
项星玮
贾顺
万安平
张中伟
徐康康
郑浩
蔡维
吕景祥
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Zhejiang University ZJU
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/04—Manufacturing
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract

The invention discloses a method for controlling the electric energy consumption of a machining workshop based on radio frequency identification and scheduling, which comprises the following steps: acquiring a machining task, and generating an initial workshop operation scheduling scheme which enables the electric energy consumption of a machining workshop to be minimum by generating a first radio frequency identification reading event through a radio frequency identification technology; generating a next radio frequency identification reading event, and reading the numerical value of the digital electric meter; judging whether the electric energy consumption of the machining workshop is normal at the current moment, if so, continuing to execute the current workshop operation scheduling scheme, otherwise, diagnosing the reason of abnormal electric energy consumption of the machining workshop, and updating and executing the workshop operation scheduling scheme after correspondingly adjusting the abnormal part; and judging whether the machining task is finished or not, if so, finishing the machining task, and otherwise, starting the electric energy consumption control of the machining workshop of the next radio frequency identification reading event. The invention can effectively control the electric energy consumption of the machining workshop and achieve the purpose of energy conservation and consumption reduction of enterprises.

Description

Processing workshop electric energy consumption control method based on radio frequency identification and scheduling
Technical Field
The invention relates to the field of energy conservation and consumption reduction of machining workshops, in particular to a method for controlling electric energy consumption of a machining workshop based on radio frequency identification and scheduling.
Background
Energy conservation in the manufacturing industry can relieve global energy problems and concurrent environmental problems, and energy conservation in the manufacturing industry is taken as a key strategic target by ' China manufacturing 2025 ' issued by State administration of the people's republic of China. As an important contributor to energy consumption in manufacturing, a machining shop is a manufacturing system that mainly uses machine tools to convert blanks into acceptable parts. The mechanical processing workshop is large in quantity and wide in range, the electric energy consumption is huge, and the energy-saving potential is great. However, the electric energy consumption of the machining workshop has the complex characteristics of more links, irregularity and large dynamic change. How to effectively control the electric energy consumption of a machining workshop is a difficult problem and a challenge facing the energy conservation of the manufacturing industry. With the popularization and development of new-generation information technology, the technology of the internet of things can cope with the complex characteristic of electric energy consumption of a machining workshop (new-generation information technology development strategy; Chinese construction informatization, 2017 (17): 24-27).
As an important aspect of the internet of things technology, the patent document with publication number CN104076768A discloses that the radio frequency identification is used to obtain the power consumption information of the order execution process in real time, quickly determine and locate the power consumption abnormality, and adjust the machine tool and replace the material to eliminate the power consumption abnormality of the machining shop and reduce the power consumption of the order execution process. However, after the machine tool is adjusted and the material is replaced, the initial workshop operation scheduling scheme may no longer be energy-saving, and the above document continues to execute the initial workshop operation scheduling scheme without any change, which affects the energy-saving effect.
Therefore, a control method for timely scheduling workshop operation and effectively reducing the electric energy consumption of the machining workshop by coping with the complex characteristic of the electric energy consumption of the machining workshop is lacked at present.
Disclosure of Invention
The invention provides a machining workshop electric energy consumption control method based on radio frequency identification and scheduling.
The technical scheme provided by the invention for solving the technical problems is as follows:
a method for controlling the electric energy consumption of a machining workshop comprises the following steps:
step 1, acquiring a machining task, and determining the number of parts and the number of machine tools related to the machining task;
step 2, installing radio frequency identification tags on the parts, and arranging a radio frequency identification reader-writer and a digital electric meter in a machining workshop;
step 3, generating a first radio frequency identification reading event, and generating an initial workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum;
step 4, starting to execute an initial workshop operation scheduling scheme by the machining workshop;
step 5, a next radio frequency identification reading event occurs, and a digital electric meter value corresponding to the radio frequency identification reading event at the current moment is read;
step 6, judging whether the machining task is finished: if the process is finished, entering step 11; otherwise, entering step 7;
step 7, judging whether the electric energy consumption of the machining workshop is normal or not according to the digital electric meter value corresponding to the radio frequency identification reading event at the current moment: if the workshop operation scheduling scheme is normal, continuing to execute the current workshop operation scheduling scheme, and returning to the step 5; if abnormal, go to step 8;
step 8, diagnosing the reason of the abnormal power consumption of the machining workshop, and correspondingly adjusting the abnormal part;
step 9, updating the workshop operation scheduling scheme to obtain the latest workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum;
step 10, starting to execute the latest workshop operation scheduling scheme by the machining workshop, and returning to the step 5;
and 11, finishing the machining task.
According to the control method for the electric energy consumption of the machining workshop, the workshop operation scheduling scheme is updated in time after the machine tool or the part causing the abnormal electric energy consumption is adjusted, the latest workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum is obtained and executed, and the workshop operation scheduling scheme with the minimum energy consumption can be effectively guaranteed to be executed all the time by the machining workshop.
In step 2, installing a radio frequency identification tag on the part, and arranging a radio frequency identification reader-writer and a digital electric meter in a machining workshop, wherein the method specifically comprises the following steps:
respectively installing a radio frequency identification tag on each part; each machine tool in the machining workshop is respectively provided with a radio frequency identification reader-writer and a digital ammeter; a radio frequency identification reader-writer r is arranged at the entrance of the machining workshop0。
In step 3, a first radio frequency identification read event occurs to generate an initial workshop operation scheduling scheme which minimizes the electric energy consumption of the machining workshop, and the scheme specifically comprises the following steps:
step 3-1, when the radio frequency identification reader-writer r0Sensing and reading devices mounted on the first part P1Radio frequency identification tag o of1Then a first RFID read event D occurs1：
D1＝{o1，r0，t0}
Wherein, said o1Showing mounting on the first part P1A radio frequency identification tag;
r0representing a radio frequency identification reader installed at an entrance of a machining shop;
t0indicating the occurrence time of a first radio frequency identification read event;
step 3-2, according to each part PkIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkAnd calculating the electric energy consumption of the machining workshops required by all feasible workshop operation scheduling schemes one by one according to the historical data of the required time consumption and the electric energy consumption, and selecting the scheme with the minimum electric energy consumption of the machining workshops as an initial workshop operation scheduling scheme.
In step 5, a next radio frequency identification reading event occurs, and a digital electric meter value corresponding to the radio frequency identification reading event at the current moment is read, specifically as follows:
step 5-1, machine tool MnFinished part PkAfter being processed, is installed on the machine tool MnRadio frequency identification reader-writer r onnSensing and reading mounting on part PkRadio frequency identification tag o ofkThe following radio frequency identification read events occur:
Dq＝{ok，rn，tq-1}
wherein, D isqRepresenting a q radio frequency identification reading event, wherein q is an integer and is more than or equal to 2;
okindicating mounting on the kth part PkA radio frequency identification tag;
rnis shown mounted on the nth machine tool MnThe radio frequency identification reader-writer is arranged;
tq-1indicating the occurrence time of the q radio frequency identification read event;
k is an integer and is not less than 1 and not more than K; k is the total number of parts related to the machining task;
n is an integer and N is not less than 1 and not more than N; n is the total number of machine tools involved in the machining task;
step 5-2, reading radio frequency identification reading event DqTime machine tool MnThe value of the digital meter.
In step 6, the method for judging whether the machining task is completed is as follows: if the total number of the radio frequency identification reading events reaches Q +1, the machining task is finished, and the calculation formula of Q is as follows:
Figure BDA0002425244940000031
wherein Q represents the sum of the number of the required machine tools of each part;
k is an integer and is not less than 1 and not more than K; k is the total number of parts related to the machining task;
Ckindicating the number of machine tools required for the kth part.
In step 7, the method for judging whether the electric energy consumption of the machining workshop is normal or not according to the digital electric meter value corresponding to the radio frequency identification reading event at the current moment comprises the following steps:
if the machine tool MnFinished part PkMeasured value of electric energy consumption EknLess than or equal to threshold SknThe electric energy consumption of the machining workshop is normal; otherwise, the electric energy consumption of the machining workshop is abnormal;
said EknThe calculation formula of (2) is as follows:
Ekn＝Fkn-Fk’n
wherein, F isknIndicating machine tool MnFinished part PkA digital meter value of time;
Fk’nindicating machine tool MnFinished part Pk’A digital meter value of time;
Pk’indicating machine tool MnMachining part PkA previously machined part;
said SknThe calculation formula of (2) is as follows:
Skn＝(Ikn+Gkn)×(1+a％)
wherein, the IknIndicating machine tool MnWaiting for part PkA required standby power consumption prediction value;
Gknindicating machine tool MnMachining part PkHistorical data of required power consumption;
a denotes a machine tool MnFinished part PkMaximum deviation allowed for power consumption;
said IknThe calculation formula of (2) is as follows:
Figure BDA0002425244940000032
wherein, T iskn’Indicating the current machine tool MnPrevious machine tool MnFinished part PkThe time prediction value of (1);
Tk’nindicating machine tool MnFinished part Pk’The time prediction value of (1);
Bnindicating machine tool MnThe standby power of.
The T iskn’、Tk’nThe method is obtained through a Gantt chart, and the Gantt chart is obtained by drawing the current workshop operation scheduling scheme and historical data of time consumption of each machine tool for completing each part.
In step 8, diagnosing the cause of the abnormal power consumption of the machining workshop, and correspondingly adjusting the abnormal part, specifically as follows: diagnosing the cause of abnormal power consumption in the machining workshop if the machine tool MnMachined part PkUnqualified quality or machine tool MnError in setting parameters or machine tool MnIf the part is damaged and can not be used, the abnormality is eliminated first, and then the step 9 is carried out, otherwise, the step 9 is carried out.
In step 9, the workshop operation scheduling scheme is updated to obtain the latest workshop operation scheduling scheme which minimizes the electric energy consumption of the machining workshop, and the method specifically comprises the following steps:
step 9-1: will be I in step 7knAnd GknSum ofIs updated to Ekn(ii) a Will TknIs updated to the time tq-1；TknIndicating the current machine tool MnFinished part PkThe time prediction value of (1);
the T isknThe method comprises the steps that the Gantt chart is obtained through drawing of a current workshop operation scheduling scheme and the time consumption required by each machine tool to finish each part;
step 9-2: machine tool M to be measurednFinished part PkReplacing corresponding historical data by the required time consumption and the electric energy consumption;
the measured machine tool MnFinished part PkThe time consumption required was:
Zkn＝tq-1-tk’n
wherein, Z isknIndicating measured machine tool MnFinished part PkThe time required is consumed;
tk’nindicating machine tool MnFinished part Pk’Identifying the occurrence time of a read event by using the radio frequency;
tq-1indicating the occurrence time of the q radio frequency identification read event;
step 9-3: according to each part P for the remaining machining taskskIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkAnd the historical data of the required time consumption and the power consumption are used for calculating the power consumption of the machining workshops required by all feasible workshop operation scheduling schemes one by one, and the scheme with the minimum power consumption of the required machining workshops is selected as the latest workshop operation scheduling scheme.
In step 11, before the machining task is finished, the electric energy consumption information of the machining workshop is output.
The output of the electric energy consumption information of the machining workshop is as follows: a machining workshop time consumption measured value U, a machining workshop electric energy consumption measured value W, machining workshop time efficiency X and machining workshop electric energy efficiency Y are displayed on a display and an electronic billboard;
the calculation formula of the measured value U of the time consumption of the machining workshop is as follows:
U＝tQ-t0
wherein, t isQIndicating the occurrence time of the last radio frequency identification read event;
t0indicating the occurrence time of a first radio frequency identification read event;
the calculation formula of the electric energy consumption measured value W of the machining workshop is as follows:
Figure BDA0002425244940000041
wherein N is an integer and is more than or equal to 1 and less than or equal to N;
n is the total number of machine tools involved in the machining task;
Fn(tQ) Indicating machine tool MnAt tQA digital meter value at a time;
Fn(t0) Indicating machine tool MnAt t0A digital meter value at a time;
the calculation formula of the time efficiency X of the machining workshop is as follows:
Figure BDA0002425244940000051
wherein, the U is0Represents the machining shop time consumption required by the initial shop operation scheduling plan;
the calculation formula of the electric energy efficiency Y of the machining workshop is as follows:
Figure BDA0002425244940000052
wherein, said W0Representing the machining shop power consumption required by the initial shop operation scheduling plan.
The invention has the following beneficial effects:
1. the control method provided by the invention solves the problems of multiple links, irregularity and large dynamic change of the electric energy consumption of the machining workshop through the combination of the radio frequency identification and the scheduling mode, and realizes accurate and effective control of the electric energy consumption of the machining workshop.
2. The control method provided by the invention only needs to install one radio frequency identification tag on each part, one radio frequency identification reader-writer and one digital ammeter are installed on each machine tool, and one radio frequency identification reader-writer is installed at the inlet of a machining workshop, so that the hardware acquisition cost of an enterprise is low.
3. The control method provided by the invention can accurately judge and recover the abnormal power consumption of the machining workshop according to the radio frequency identification and the digital electric meter data, and can update the workshop operation scheduling scheme in due time, thereby ensuring the efficient and energy-saving operation of the workshop.
4. The control method provided by the invention can output the time consumption and electric energy consumption information of the machining workshop according to the measured data, and provides important basis and support for accurately evaluating and improving the energy efficiency of enterprises.
5. The control method provided by the invention is scientific and practical and can be popularized to the electric energy consumption control of other types of workshops (such as assembly workshops).
Drawings
FIG. 1 is a block flow diagram of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
The flow chart of the invention is shown in figure 1, and the specific implementation steps are as follows:
step 1, obtaining a machining task, and determining the number of parts and the number of machine tools related to the machining task.
In the current embodiment, 10 am on 2/16/2020: 37: 09, H automobile parts machining shop acquires machining task T202002165. The number of parts involved in machining task T202002165 is 5, each part being part P1Component P2Component P3Component P4And part P5. The machining task T202002165 involves 4 machine tools, respectively machine tool M1Machine tool M2Machine tool M3And machine tool M4The standby power is 332.1W, 414.0W, 360.5W and 371.0W in sequence.
And 2, mounting a radio frequency identification tag on the part, and arranging a radio frequency identification reader-writer and a digital electric meter in a machining workshop.
In the present embodiment, the part P1Component P2Component P3Component P4And part P5Respectively provided with radio frequency identification tags o1Radio frequency identification tag o2Radio frequency identification tag o3Radio frequency identification tag o4And a radio frequency identification tag o5。
Machine tool M1On which a radio frequency identification reader-writer r is mounted1And a digital electricity meter; machine tool M2On which a radio frequency identification reader-writer r is mounted2And a digital electricity meter; machine tool M3On which a radio frequency identification reader-writer r is mounted3And a digital electricity meter; machine tool M4On which a radio frequency identification reader-writer r is mounted4And a digital electricity meter. In addition, a radio frequency identification reader-writer r is arranged at the entrance of the machining workshop0。
Because machining task T202002165 involves 5 parts and 4 machines, a total of 5 rfid tags, 5 rfid readers, and 4 digital electric meters are required.
And 3, generating a first radio frequency identification reading event to generate an initial workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum.
In the current embodiment, 10 am on 2/16/2020: 56: 43, machineryRadio frequency identification reader-writer r at entrance of processing workshop0Sensing and reading mounting on part P1Radio frequency identification tag o of1And, a 1 st radio frequency identification read event occurs: d1＝{o1，r0,10: 56: 43}. And (3) mixing the components in a ratio of 10: 56: 43 as the machining task T202002165 start execution timing.
When the 1 st radio frequency identification reading event D occurs1Reading machine tool M1Machine tool M2Machine tool M3And machine tool M4The values of the upper 4 digital electric meters are 70213.83KJ, 59122.09KJ, 82766.72KJ and 75001.91KJ, respectively. Each part Pk(k is 1, 2, 3, 4, 5) in each machine tool Mn(n is 1, 2, 3, 4) in Table 1. Each machine tool Mn(n is 1, 2, 3, 4) completion of each part Pk(k is 1, 2, 3, 4, 5) the history of the time consumption as shown in Table 2. Each machine tool Mn(n is 1, 2, 3, 4) completion of each part Pk(k is 1, 2, 3, 4, 5) the history of the required power consumption as shown in Table 3. According to the table 1, the table 2 and the table 3, the machining workshop electric energy consumption required by all the feasible workshop operation scheduling schemes is calculated one by one, and the scheme with the minimum required machining workshop electric energy consumption is selected as the initial workshop operation scheduling scheme. The initial shop job scheduling scheme is shown in table 4, with a required machining shop time consumption of 1344s and a required machining shop power consumption of 3435.89 KJ.
TABLE 1
Figure BDA0002425244940000061
TABLE 2
Figure BDA0002425244940000062
Figure BDA0002425244940000071
TABLE 3
Figure BDA0002425244940000072
TABLE 4
Figure BDA0002425244940000073
And 4, starting to execute an initial workshop operation scheduling scheme by the machining workshop.
In the current embodiment, the H automobile parts machining shop begins to execute the shop job scheduling scheme shown in table 4.
And 5, generating a next radio frequency identification reading event, and reading the digital electric meter value corresponding to the radio frequency identification reading event at the current moment.
Take the 2 nd, 3 rd and 5 th rfid read events as examples.
Year 2020, 2, 16, am 11: 00: 38, machine tool M2Finished part P3So that the machine tool M2Radio frequency identification reader-writer r on2Sensing and reading mounting on part P3Radio frequency identification tag o of3And a 2 nd radio frequency identification read event occurs: d2＝{o3，r2,11: 00: 38}. At this moment, the machine tool M is read2The upper digital meter value is 59325.16 KJ.
Year 2020, 2, 16, am 11: 01: 15, machine tool M1Finished part P1So that the machine tool M1Radio frequency identification reader-writer r on1Sensing and reading mounting on part P1Radio frequency identification tag o of1And, a 3 rd radio frequency identification read event occurs: d3＝{o1，r1,11: 01: 15}. At this moment, the machine tool M is read1The upper digital meter value is 70443.30 KJ.
Year 2020, 2, 16, am 11: 06: 39 machine tool M3Finished part P4So that the machine tool M3Radio frequency identification reader-writer r on3Sensing and reading mounting on part P4Radio frequency identification tag o of4And, a 5 th radio frequency identification read event occurs: d5＝{o4，r3,11: 06: 39}. At this moment, the machine tool M is read3The upper digital meter value is 83193.15 KJ.
Step 6, judging whether the machining task is finished: if the process is finished, entering step 11; otherwise, go to step 7.
According to Table 1, part P1The number of required machine tools is 4, parts P2The number of required machine tools is 4, parts P3The number of required machine tools is 2, parts P4The number of required machine tools is 4, parts P5The number of required machine tools is 1. Therefore, the sum Q of the number of machine tools required for each part is: q4 +4+2+4+1 15. If the total number of the rfid read events reaches Q +1 to 16, it is determined that the machining task T202002165 is completed. If the process is finished, entering step 11; otherwise, go to step 7.
Step 7, judging whether the electric energy consumption of the machining workshop is normal or not according to the digital electric meter value corresponding to the radio frequency identification reading event at the current moment: if the workshop operation scheduling scheme is normal, continuing to execute the current workshop operation scheduling scheme, and returning to the step 5; if abnormal, go to step 8.
In the present embodiment, machine tool M is operated when the 2 nd RFID read event occurs2Finished part P3The measured value of the electric energy consumption is as follows:
E32＝59325.16-59122.09＝203.07KJ。
machine tool M2Finished part P3The electric energy consumption threshold is as follows:
S32＝(0+197.60)×(1+5％)＝207.48KJ。
because E32＜S32So, 16 am 11 at 2020/2/16: 00: 38 the machining shop power consumption is normal and returns to step 5.
In the present embodiment, machine tool M is operated when the 3 rd RFID read event occurs1Finished part P1The measured value of the electric energy consumption is as follows:
E11＝70443.30-70213.83＝229.47KJ。
machine tool M1Finished part P1The electric energy consumption threshold is as follows:
S11＝(0+213.62)×(1+5％)＝224.30KJ。
because E11＞S11So, 16 am 11 at 2020/2/16: 01: and 15, the electric energy consumption of the machining workshop is abnormal, and the step 8 is carried out.
In the present embodiment, machine tool M is operated when the 5 th RFID read event occurs3Finished part P4The measured value of the electric energy consumption is as follows: e43＝83193.15-82766.72＝426.43KJ。
Machine tool M3Finished part P4The electric energy consumption threshold is as follows: s43＝(0+208.07)×(1+5％)＝218.47KJ。
Because E43＞S43So, 16 am 11 at 2020/2/16: 06: 39, the electric energy consumption of the mechanical processing workshop is abnormal, and the step 8 is carried out.
And 8, diagnosing the reason of the abnormal power consumption of the machining workshop, and correspondingly adjusting the abnormal part.
In the current embodiment, diagnosis is made at 11 am, 2/16/2020: 01: 15 cause of abnormal power consumption in machining shop. Sensor display machine tool M1Cause severe wear of the tool, causing the machine tool M1Machining part P1The power consumption is abnormal.
For the abnormality, by replacing the machine tool M1Of a tool, machine tool M1The power consumption of (3) can be reduced by 31.70 KJ. But changing the machine tool M1171s consumption of the tool(s) will result in the machine tool M1Increase 56.79KJ (332.1 × 171) in standby power consumption due to machine tool M2Machine tool M3And machine tool M4Waiting for part P1The standby power consumption of these machines increases with time. To sum up, reserve machine M1To machine the remaining part P2And part P4The energy is saved. Proceed to step 9.
Diagnosis of 11 am, 2/16/2020: 06: 39 causes of abnormal power consumption in machining shop: machine tool M due to malfunction3Finished part P4Time consumption and power consumption increase. By inspection, the part P4Qualified and qualifiedBed M3The condition is normal and maintenance is not needed. Proceed to step 9.
And 9, updating the workshop operation scheduling scheme to obtain the latest workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum.
In the present embodiment, after the 3 rd RFID read event occurs, I will be11And G11The value 213.62KJ of the sum is updated to the machine tool M1Finished part P1Measurement of electric energy consumption 229.47KJ, machine tool M1Finished part P1Time predicted value of (11): 01: 04 (10: 56: 43+261) is updated to the time of occurrence of the 3 rd RFID read event, 11: 01: 15.
machine tool M to be measured1Finished part P1Replacing corresponding historical data by the required time consumption and the electric energy consumption;
the measured machine tool M1Finished part P1The time consumption required was: 11: 01: 15-10: 56: and 43-272 s.
According to each part P for the remaining machining taskskIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkAnd the historical data of the required time consumption and the power consumption are used for calculating the power consumption of the machining workshops required by all feasible workshop operation scheduling schemes one by one, and the scheme with the minimum power consumption of the required machining workshops is selected as the latest workshop operation scheduling scheme. The updated shop floor job scheduling plan is consistent with the initial shop floor job scheduling plan, as shown in table 4. Step 10 is entered.
After the 5 th radio frequency identification reading event occurs, I43And G43The value 208.07KJ of the sum is updated to the machine tool M3Finished part P4Power consumption measurement 426.43KJ, and machine tool M3Finished part P4Time predicted value of (11): 00: 58 (10: 56: 43+255) is updated to the time of occurrence of the 5 th radio frequency identification read event 11: 06: 39.
machine tool M to be measured3Finished part P4Replacing corresponding historical data by the required time consumption and the electric energy consumption;
the measured machine tool M3Finished part P4The time consumption required was: 11: 06: 39-10: 56: 43 ═ 596 s.
According to each part P for the remaining machining taskskIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkAnd the historical data of the required time consumption and the power consumption are used for calculating the power consumption of the machining workshops required by all feasible workshop operation scheduling schemes one by one, and the scheme with the minimum power consumption of the required machining workshops is selected as the latest workshop operation scheduling scheme. The updated shop job scheduling scheme is shown in table 5, with a required machining shop time consumption of 1537s and a required machining shop power consumption of 3955.32 KJ. Step 10 is entered.
TABLE 5
Figure BDA0002425244940000091
And step 10, starting to execute the latest workshop operation scheduling scheme by the machining workshop and returning to the step 5.
In the present example, after the 3 rd RFID read event occurs, the machining shop continues to execute the shop scheduling scheme shown in Table 4, and returns to step 5.
After the 5 th RFID read event occurs, the machining shop performs the shop job scheduling scheme shown in Table 5, and returns to step 5.
And 11, outputting the electric energy consumption information of the machining workshop and ending the machining task.
The output machining shop electric energy consumption information comprises a machining shop time consumption measured value U, a machining shop electric energy consumption measured value W, a machining shop time efficiency X and a machining shop electric energy efficiency Y which are displayed on a display and an electronic billboard.
The 16 th RFID read event D16The occurrence time of (2) is 11: 22: 39 reading the time of the machine tool M1Machine tool M2Machine tool M3And machine tool M4The upper 4 digital meter measurements were 70964.02KJ, 60176.28KJ, 84057.32KJ, and 75889.70KJ, respectively.
Therefore, the value of U is: u is 11: 22: 39-10: 56: 1556 s;
the value of W is: w ═ 3982.77KJ (70964.02-70213.83) + (60176.28-59122.09) + (84057.32-82766.72) + (75889.70-75001.91);
the value of X is:
Figure BDA0002425244940000101
the value of Y is:
Figure BDA0002425244940000102
and finishing the machining task.
The method can be used for controlling the electric energy consumption of the machining workshop, accurately judges and recovers the abnormal electric energy consumption of the workshop according to the radio frequency identification and the digital electric meter data, updates the workshop operation scheduling scheme in due time and ensures the efficient and energy-saving operation of the workshop. The method effectively improves the electric energy consumption control level of the machining workshop, and provides scientific and reasonable methods and technical support for realizing energy conservation and consumption reduction in the manufacturing industry.

Claims (10)

1. A method for controlling the electric energy consumption of a machining workshop is characterized by comprising the following steps:
step 1, acquiring a machining task, and determining the number of parts and the number of machine tools related to the machining task;
step 2, installing radio frequency identification tags on the parts, and arranging a radio frequency identification reader-writer and a digital electric meter in a machining workshop;
step 3, generating a first radio frequency identification reading event, and generating an initial workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum;
step 4, starting to execute an initial workshop operation scheduling scheme by the machining workshop;
step 5, a next radio frequency identification reading event occurs, and a digital electric meter value corresponding to the radio frequency identification reading event at the current moment is read;
step 6, judging whether the machining task is finished: if the process is finished, entering step 11; otherwise, entering step 7;
step 7, judging whether the electric energy consumption of the machining workshop is normal or not according to the digital electric meter value corresponding to the radio frequency identification reading event at the current moment: if the workshop operation scheduling scheme is normal, continuing to execute the current workshop operation scheduling scheme, and returning to the step 5; if abnormal, go to step 8;
step 8, diagnosing the reason of the abnormal power consumption of the machining workshop, and correspondingly adjusting the abnormal part;
step 9, updating the workshop operation scheduling scheme to obtain the latest workshop operation scheduling scheme which enables the electric energy consumption of the machining workshop to be minimum;
step 10, starting to execute the latest workshop operation scheduling scheme by the machining workshop, and returning to the step 5;
and 11, finishing the machining task.
2. The method of claim 1, wherein in step 2, an rfid tag is attached to the part, and an rfid reader and a digital meter are disposed in the machining shop, and the method comprises the following steps:
respectively installing a radio frequency identification tag on each part; each machine tool in the machining workshop is respectively provided with a radio frequency identification reader-writer and a digital ammeter; a radio frequency identification reader-writer r is arranged at the entrance of the machining workshop0。
3. The method of claim 1, wherein in step 3, a first rfid read event occurs to generate an initial plant operation schedule that minimizes power consumption in the machine shop, as follows:
step 3-1, when the radio frequency identification reader-writer r0Sensing and reading devices mounted on the first part P1Upward rayFrequency identification tag o1Then a first RFID read event D occurs1：
D1＝{o1，r0，t0}
Wherein, said o1Showing mounting on the first part P1A radio frequency identification tag;
r0representing a radio frequency identification reader installed at an entrance of a machining shop;
t0indicating the occurrence time of a first radio frequency identification read event;
step 3-2, according to each part PkIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkAnd calculating the electric energy consumption of the machining workshops required by all feasible workshop operation scheduling schemes one by one according to the historical data of the required time consumption and the electric energy consumption, and selecting the scheme with the minimum electric energy consumption of the machining workshops as an initial workshop operation scheduling scheme.
4. The method of claim 1, wherein in step 5, a next rfid read event occurs, and the digital meter value corresponding to the current rfid read event is read, as follows:
step 5-1, machine tool MnFinished part PkAfter being processed, is installed on the machine tool MnRadio frequency identification reader-writer r onnSensing and reading mounting on part PkRadio frequency identification tag o ofkThe following radio frequency identification read events occur:
Dq＝{ok，rn，tq-1}
wherein, D isqRepresenting a q radio frequency identification reading event, wherein q is an integer and is more than or equal to 2;
okindicating mounting on the kth part PkA radio frequency identification tag;
rnis shown mounted on the nth machine tool MnThe radio frequency identification reader-writer is arranged;
tq-1indicating the occurrence time of the q radio frequency identification read event;
k is an integer and is not less than 1 and not more than K; k is the total number of parts related to the machining task;
n is an integer and N is not less than 1 and not more than N; n is the total number of machine tools involved in the machining task; step 5-2, reading radio frequency identification reading event DqTime machine tool MnThe value of the digital meter.
5. The method of controlling electrical energy consumption in a machine shop according to claim 1, wherein in step 6, the method of determining whether the machining task is completed is as follows: if the total number of the radio frequency identification reading events reaches Q +1, the machining task is finished, and the calculation formula of Q is as follows:
Figure FDA0002425244930000021
wherein Q represents the sum of the number of the required machine tools of each part;
k is an integer and is not less than 1 and not more than K; k is the total number of parts related to the machining task;
Ckindicating the number of machine tools required for the kth part.
6. The method for controlling electrical energy consumption of a machine shop of claim 1, wherein in step 7, the method for determining whether the electrical energy consumption of the machine shop is normal according to the digital electric meter value corresponding to the current time rfid read event comprises the following steps:
if the machine tool MnFinished part PkMeasured value of electric energy consumption EknLess than or equal to threshold SknThe electric energy consumption of the machining workshop is normal; otherwise, the electric energy consumption of the machining workshop is abnormal;
said EknThe calculation formula of (2) is as follows:
Ekn＝Fkn-Fk’n
wherein, F isknIndicating machine tool MnFinished part PkA digital meter value of time;
Fk’nindicating machine tool MnFinished part Pk’A digital meter value of time;
Pk’indicating machine tool MnMachining part PkA previously machined part;
said SknThe calculation formula of (2) is as follows:
Skn＝(Ikn+Gkn)×(1+a％)
wherein, the IknIndicating machine tool MnWaiting for part PkA required standby power consumption prediction value;
Gknindicating machine tool MnMachining part PkHistorical data of required power consumption;
a denotes a machine tool MnFinished part PkMaximum deviation allowed for power consumption;
said IknThe calculation formula of (2) is as follows:
Figure FDA0002425244930000031
wherein, T iskn’Indicating the current machine tool MnPrevious machine tool Mn’Finished part PkThe time prediction value of (1);
Tk’nindicating machine tool MnFinished part Pk’The time prediction value of (1);
Bnindicating machine tool MnStandby power of (d);
the T iskn’、Tk’nThe method is obtained through a Gantt chart, and the Gantt chart is obtained by drawing the current workshop operation scheduling scheme and historical data of time consumption of each machine tool for completing each part.
7. The method of controlling machine shop power consumption according to claim 6, characterized in that in step 8, the diagnostics are performedThe reason for the abnormal power consumption of the machining workshop is to correspondingly adjust the abnormal part, and the method specifically comprises the following steps: diagnosing the cause of abnormal power consumption in the machining workshop if the machine tool MnMachined part PkUnqualified quality or machine tool MnError in setting parameters or machine tool MnIf the part is damaged and can not be used, the abnormality is eliminated first, and then the step 9 is carried out, otherwise, the step 9 is carried out.
8. The method of claim 6, wherein in step 9, the shop operation scheduling plan is updated to obtain a latest shop operation scheduling plan that minimizes the machining shop power consumption, and the method comprises the following steps:
step 9-1: will be I in step 7knAnd GknThe value of the sum is updated to Ekn(ii) a Will TknIs updated to the time tq-1；TknIndicating the current machine tool MnFinished part PkThe time prediction value of (1);
step 9-2: machine tool M to be measurednFinished part PkReplacing corresponding historical data by the required time consumption and the electric energy consumption;
the measured machine tool MnFinished part PkThe time consumption required was:
Zkn＝tq-1-tk’n
wherein, Z isknIndicating measured machine tool MnFinished part PkThe time required is consumed;
tk’nindicating machine tool MnFinished part Pk’Identifying the occurrence time of a read event by using the radio frequency;
tq-1indicating the occurrence time of the q radio frequency identification read event;
step 9-3: according to each part P for the remaining machining taskskIn each machine tool MnThe machining sequence of each machine tool MnComplete each part PkThe historical data of the required time consumption and the electric energy consumption are calculated one by one for all the feasible vehiclesAnd selecting the scheme with the minimum electric energy consumption of the mechanical processing workshop as the latest workshop operation scheduling scheme.
9. The method of claim 1, wherein the step 11 outputs the plant electrical energy consumption information prior to the completion of the machining task.
10. The method of controlling machine shop power consumption according to claim 9, wherein the outputting of machine shop power consumption information is specifically as follows: a machining workshop time consumption measured value U, a machining workshop electric energy consumption measured value W, machining workshop time efficiency X and machining workshop electric energy efficiency Y are displayed on a display and an electronic billboard;
the calculation formula of the measured value U of the time consumption of the machining workshop is as follows:
U＝tQ-t0
wherein, t isQIndicating the occurrence time of the last radio frequency identification read event;
t0indicating the occurrence time of a first radio frequency identification read event;
the calculation formula of the electric energy consumption measured value W of the machining workshop is as follows:
Figure FDA0002425244930000041
wherein N is an integer and is more than or equal to 1 and less than or equal to N;
n is the total number of machine tools involved in the machining task;
Fn(tQ) Indicating machine tool MnAt tQA digital meter value at a time;
Fn(t0) Indicating machine tool MnAt t0A digital meter value at a time;
the calculation formula of the time efficiency X of the machining workshop is as follows:
Figure FDA0002425244930000042
wherein, the U is0Represents the machining shop time consumption required by the initial shop operation scheduling plan;
the calculation formula of the electric energy efficiency Y of the machining workshop is as follows:
Figure FDA0002425244930000043
wherein, said W0Representing the machining shop power consumption required by the initial shop operation scheduling plan.
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