CN104076768A - Method for electric energy consumption acquisition and energy conservation control in order executing process - Google Patents
Method for electric energy consumption acquisition and energy conservation control in order executing process Download PDFInfo
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- CN104076768A CN104076768A CN201410235001.4A CN201410235001A CN104076768A CN 104076768 A CN104076768 A CN 104076768A CN 201410235001 A CN201410235001 A CN 201410235001A CN 104076768 A CN104076768 A CN 104076768A
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- power consumption
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- station
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a method for electric energy consumption acquisition and energy conservation control in the order executing process. The method includes the steps that the relations between all levels of an order and all parts of equipment are established; a digital electric meter and the radio frequency identification technology are used in cooperation to acquire electric energy consumption data in the order executing process, and an electric energy consumption matrix is stored; the electric energy consumption values are added up to obtain the sum, so that electric energy consumption information of the order, all the levels of the order and electric energy consumption values of all the parts of the equipment are acquired; the electric energy consumption of the order is diagnosed; abnormality of electric energy consumption of the order is adjusted according to the prompt; whether the order is finished or not is judged, if yes, the procedure is ended, and if not, calculation and control of electric energy consumption of the order at the next moment are started. The method is favorable for acquiring electric energy consumption information in the order executing process in real time, abnormality or deviation of electric energy consumption is fast judged, located and fixed, and the purpose of electric energy conservation of an enterprise is achieved.
Description
Technical field
The present invention relates to obtaining and energy-saving control method of power consumption, especially relate to obtaining and energy-saving control method of order implementation power consumption.
Background technology
Manufacturing industry is resource to be changed into the industry of product, comprises the national mainstay industries such as mechanical industry, auto industry, in its vital role of performance, also consumes a large amount of energy, especially electric energy.Resolving energy problem is the important leverage that keeps China's economy to grow continuously and fast, and in current resource, the high-strung situation of the energy, must improve enterprise energy utilization ratio to reduce energy resource consumption.Energy-conservation become enterprise current in the urgent need to, and order implementation is the key link that enterprise energy consumes, so enterprise will realize energy-conservation target, just need to obtain and to analyze in real time, comprehensively, exactly enterprise's each material in order implementation and, in the power consumption situation of each station, and carry out corresponding Energy Saving Control.
In order implementation, each material can be by being arranged in the electric energy measuring equipment on station, such as digital electric meter obtains in the power consumption data of each station.Traditional material is to adopt manual meter reading method to record the numerical value of digital electric meter at station power consumption data capture method.Specifically, before material enters station, the reading of digital electric meter on station of hand-kept on technical papers, after material leaves station, again record the reading of digital electric meter, this twice reading subtracted each other, just can obtain certain material in the power consumption value of certain station.Etc. each material recording on technical papers being collected in the power consumption data of each station after process finishing, do collective analysis and processing, find out the problem that order implementation power consumption exists and improve.
Adopt traditional-handwork meter reading method, mainly exist following several respects not enough: 1) record efficiency lowly and is easily made mistakes; 2) power consumption data of hand-kept shortage is ageing, and the power consumption being difficult to occurring is made a response extremely in time; 3) hand-kept power consumption data workload is huge, and the data volume that can gather is severely limited; 4) be unfavorable for reviewing of order implementation power consumption abnormal problem; 5) technical papers of papery with in material circulation easily damaged, the handwriting is blurred, affects carrying out of power consumption data analysis and processing.
For these deficiencies, the patent documentation that publication number is 102053608A discloses and has a kind ofly obtained, analyzing and processing feed back the method for various energy consumption datas in production run.But the method is carried out after a certain batch products machines the analyzing and processing of energy consumption data, therefore cannot in batch products process, find the abnormal of production equipment power consumption in time and process in time, thereby affecting energy-conservation effect; In addition, once it is abnormal that power consumption occurs, the abnormal equipment of power consumption can only be identified and locate to the method, can not locate the abnormal material of power consumption, production task numbering and O/No., thereby affect discovery and the recovery that order implementation energy consumption is abnormal.Generally speaking, lack at present a set of Real-time Obtaining order implementation material in the power consumption data of station, power consumption that order implementation is occurred is abnormal or depart from fast the method that judges, locates and recover.
Summary of the invention
For addressing the above problem, the obtaining and energy-saving control method of a kind of order implementation power consumption,
Obtaining and an energy-saving control method of order implementation power consumption, comprises the steps:
Step 1, obtains order, and obtains the numbering between each several part and corresponding relation in order implementation;
Step 2, reads and constantly obtains radio-frequency (RF) identification raw data in current RFID tag, and be converted to corresponding power consumption event, comprises power consumption value in power consumption event;
Step 3, according to the corresponding relation of step 1, utilizes step 2 gained power consumption event to be structured in and reads production task power consumption matrix constantly;
Step 4, obtains the power consumption value of each several part in order implementation according to production task power consumption matrix;
Step 5, judges whether to occur that according to the power consumption value of step 4 gained power consumption is abnormal: abnormal, to occurring that abnormal part carries out correspondence adjustment; Otherwise, enter step 6;
Step 6, judges whether order execution completes: do not complete, carry out next RFID tag constantly and read, return to step 2; Otherwise, finish order and carry out.
The present invention is cooperatively interacted and is obtained real-time and accurately the power consumption data of order implementation by electric energy measuring equipment and REID, at the station that has power consumption, only need to install a read write line and digital electric meter, so the hardware acquisition cost of enterprise is lower; Built the carrier of power consumption matrix as power consumption data storage, each material can obtain by inquiry power consumption matrix element value at the power consumption numerical value of each station; Order implementation power consumption information, comprises material power consumption value, station power consumption value, production task power consumption value, subprocess power consumption value and order implementation power consumption value, can obtain by summation operation.
In step 1, in order implementation, the corresponding relation of each several part is as follows:
The numbering of the numbering of an order to a plurality of subprocess that should order comprise;
The numbering of the numbering of each subprocess to a plurality of production tasks that should subprocess comprise;
The numbering of each production task is to the station numbering and the stock number that should production task comprise;
Each station numbering is corresponding with a digital electric meter numbering and a radio-frequency identification reader/writer numbering;
Each stock number is corresponding with a RFID tag numbering.
Subprocess refers to the process from lower stage material to upper stage material in product-based bom flow, and these subprocess are numbered.
Production task numbering is associated with stock number, and production task numbering can corresponding a plurality of stock numbers, and a stock number is only numbered corresponding with a production task; Production task numbering is associated with station numbering, and a production task numbering can be numbered by corresponding a plurality of stations, and a station numbering is only corresponding with a production task numbering; Digital electric meter numbering is associated with station numbering, and digital electric meter numbering only with the binding of a station numbering, a station numbering is also only bound a digital electric meter and is numbered; Radio-frequency identification reader/writer numbering is associated with station numbering, and radio-frequency identification reader/writer numbering only with the binding of a station numbering, a station numbering is also only bound a radio-frequency identification reader/writer and is numbered; RFID tag numbering is associated with stock number, and RFID tag numbering only with a stock number binding, a stock number is also only bound a RFID tag and is numbered.To being pasted with the material of RFID tag, need executable operations: after material machines on station, by the RFID tag on this material at the radio-frequency identification reader/writer place of this station brush once.
In step 2, in RFID tag, read the method for constantly obtaining corresponding radio-frequency (RF) identification raw data and be: when being arranged in radio-frequency identification reader/writer on station and responding to and read the RFID tag on material, obtain t
nconstantly read the radio-frequency (RF) identification raw data { o of event
x, r
y, t
n, radio-frequency (RF) identification raw data is radio-frequency identification reader/writer numbering r
y, RFID tag numbering o
xwith read time t
n.
In order implementation, when the radio-frequency identification reader/writer that is arranged in station is responded to and reads the RFID tag on any one material, read event, obtain t
nconstantly read the radio-frequency (RF) identification raw data { o of event
x, r
y, t
n, radio-frequency (RF) identification raw data is radio-frequency identification reader/writer numbering r
y, RFID tag numbering o
xwith read time t
n.
In step 2, RFID tag is read to the radio-frequency (RF) identification raw data of constantly obtaining, and to be converted to the mode of corresponding power consumption event as follows:
According to radio-frequency identification reader/writer numbering and the corresponding relation of station numbering and the corresponding relation of RFID tag numbering and stock number, radio-frequency (RF) identification raw data is converted to power consumption event, and each power consumption event comprises: stock number, station numbering, power consumption numerical value and time of origin; Wherein, in RFID tag, read material M constantly
kat station W
lpower consumption numerical value △ E
lkacquisition methods be:
Step 2-1, reads t constantly in current RFID tag
nread station W
lon digital electric meter numerical value S
k(t
n);
Step 2-2, sets m=n-1, inquires about the station numbering W that reads generation for the m time
l(t
m), judge and read the station numbering W that event occurs for the m time
l(t
m) number W with the station of reading event generation for the n time
l(t
n) whether identical: if different, time sequence number m is done to assignment: m=m-1, judges W again
l(t
m) and W
l(t
n) between relation, until W
l(t
m)=W
l(t
n); Work as W
l(t
m) equal first W
l(t
n) or during m=0, read t
mmoment station W
lon digital electric meter numerical value S
k(t
m);
Step 2-3, calculates at time interval [t
m, t
n] in, material M
kat station W
lpower consumption numerical value: △ E
lk=S
k(t
n)-S
k(t
m).
Step 3 is specific as follows:
Step 3-1, according to the corresponding relation of the station numbering of setting up in step 1 and stock number and production task numbering, determines station numbering W
lwith stock number M
kthe production task code T at place
a;
Step 3-2, according to power consumption event E
e(t
n) the stock number M that provides
kk value, station numbering W
ll value and power consumption numerical value △ E
lk, calculate accordingly:
If k=k1 and l=l1, so to t
n-1moment production task T
apower consumption matrix E (t
n-1) the capable l1 column element of k1 E
(k1, l1)(t
n-1) carrying out assignment, formula is as follows:
E
(k1,l1)(t
n)=E
(k1,l1)(t
n-1)+△E
lk
Wherein, E
(k1, l1)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l1 column element of k1 value;
To t
n-1moment power consumption matrix E (t
n-1) in meet the element E of k ≠ k1 or l ≠ l1
(k, l)(t
n-1) according to following formula, carry out assignment:
E
(k,l)(t
n)=E
(k,l)(t
n-1)
Wherein, E
(k, l)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l column element of k value;
Step 3-3, according to step 3-2, to t
n-1moment power consumption matrix E (t
n-1) middle all elements assignment, gained matrix is t
nmoment production task T
apower consumption matrix.
Production task power consumption matrix is as the carrier of power consumption event data storage.By the computing to each element of production task power consumption matrix, obtain the power consumption value of corresponding order implementation each several part.
In step 4, according to production task power consumption matrix, obtain the power consumption value of each several part in order implementation, specific as follows:
Step 4-1, sues for peace to the value of power consumption matrix k row element, obtains production task T
ak material M
kpower consumption value, sum formula is:
Wherein, EM
k(t
n) for be carved into t when order is assigned
nconstantly, production task T
ak material M
kpower consumption value;
Step 4-2, sues for peace to the value of l column element in power consumption matrix, obtains production task T
al station W
lpower consumption value, sum formula is:
Wherein, EW
l(t
n) for be carved into t when order is assigned
nconstantly, production task T
al station W
lpower consumption value;
Step 4-3, sues for peace to the value of all elements in power consumption matrix, obtains production task T
apower consumption value, sum formula is:
ET wherein
a(t
n) for be carved into t when order is assigned
nconstantly, production task T
apower consumption value;
Step 4-4, the corresponding relation according to production task numbering with subprocess numbering, determines production task code T
aaffiliated subprocess numbering P
c, the power consumption value of the production task that this subprocess is comprised is sued for peace, and obtains subprocess P
cpower consumption value, sum formula is:
Wherein A represents subprocess P
cthe production task number comprising, EP
c(t
n) for be carved into t when order is assigned
nconstantly, subprocess P
cpower consumption value;
Step 4-5, the corresponding relation according to subprocess numbering with O/No., determines subprocess numbering P
caffiliated O/No. D
r, the power consumption value of the subprocess that this order is comprised is sued for peace, and obtains order D
rpower consumption value, sum formula is:
Wherein, C represents order D
rthe subprocess number comprising, ED
r(t
n) for be carved into t when order is assigned
nconstantly, order D
rpower consumption value.
In step 5, judge whether to occur that the abnormal mode of power consumption is as follows:
At t
nconstantly, each order, each subprocess, each production task, each material and each station are compared with the corresponding power consumption value upper limit: as surpassed the power consumption value upper limit, power consumption is abnormal, otherwise normal.
For generating early warning information, early warning information prompting power consumption value surpasses order, subprocess, production task, material or the station of threshold value, and abnormal level or the corresponding numbering feedback of part are sent to terminal presentation facility.
In step 6, judge that the method whether order complete is as follows: product corresponding to inquiry order is at t
nquantity performed constantly, if product quantity performed reaches order demand, order completes.
If order completes, process ends; Otherwise get back to step 2, sequence number n does assignment to the time, obtain next t constantly
n+1radio-frequency (RF) identification raw data, start next t constantly
n+1order power consumption calculate and control.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of one embodiment of the invention;
Fig. 2 is the equipment configuration schematic diagram that realizes the current embodiment of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described further.
As shown in Figure 2, the equipment configuration the present invention relates to comprises digital electric meter, radio-frequency identification reader/writer, RFID tag, terminal presentation facility (such as display, electronic board), database server, switch and apps server.
Radio-frequency identification reader/writer is connected with database server (being computing machine) with RS-232 serial ports, needs to control frequency read/write by the radio-frequency (RF) identification raw data { o reading by radio-frequency identification reader/writer API simultaneously
x, r
y, t
nimport database server into and carry out data processing; Apps server is used for moving application program required for the present invention and with ICP/IP protocol and database server, carries out communication by switch; Database server needs installation data library software, such as Oracle, SQL server, mySQL, be used for storing order table, subprocess table, production task table, power consumption matrix table, digital electric meter table, power consumption event table, station table, material table etc., for apps server runs application, provide Data support; Meanwhile, apps server is connected with the digital electric meter that is arranged on station electric energy input entrance by RS-485/RS-232 serial ports, by reading of application program controlling ammeter numerical value; Terminal presentation facility, such as electronic board can receive the order implementation power consumption abnormal information that also display application routine processes obtains by digital visual interface DVI (Digital Visual Interface) by RS-232 interface and display.
In simple terms, the connected mode of equipment room is: the correct position that RFID tag is sticked on to material, the radio-frequency identification reader/writer of each station is connected with database server by RS-232 serial ports, database server is connected with apps server by switch, the digital electric meter of each station is connected with apps server by RS-485/RS-232 serial ports, finally, various terminal presentation facilities are connected to apps server according to interface shape separately.
As shown in Figure 1, the inventive method comprises the following steps:
Step 1, obtains order, and obtains the numbering between each several part and corresponding relation in order implementation.Concrete steps are as follows:
Step 1-1, determines the subprocess that order implementation comprises, and sets up the corresponding relation (binding relationship) of subprocess numbering and O/No..For example, in the current embodiment of the present invention, the 08:10:00 in morning on February 5th, 2014, this month the 8th order assigned and carried out in certain electric motor of automobile manufacturing enterprise, and O/No. is D
8, order D
8corresponding finished product (generator) is encoded to [DDW-018HI], and quantity is 20.According to the Bill of Material (BOM) of finished product [DDW-018HI], order D
8the subprocess comprising has 5, and subprocess numbering is respectively P
1, P
2, P
3, P
4and P
5.So O/No. D
8corresponding five subprocess numbering P
c(c=1,2,3,4,5), binding relationship is
(c=1,2,3,4,5); Five subprocess numbering P
c(c=1,2,3,4,5) only corresponding O/No. D
8, binding relationship is
(c=1,2,3,4,5).
Step 1-2, determines the production task that each subprocess comprises, and sets up the corresponding relation of production task numbering and subprocess numbering.In current embodiment, determine order D
8each subprocess P
cthe production task that (c=1,2,3,4,5) comprise, and these production tasks are numbered.Wherein, the 2nd subprocess P
2the production task comprising is T
1, T
2, T
3and T
4.Therefore a subprocess is numbered P
2corresponding four production task code T
a(a=1,2,3,4), binding relationship is
(a=1,2,3,4); Four production task code T
a(a=1,2,3,4) are corresponding subprocess numbering P only
2, binding relationship is
(a=1,2,3,4).
Step 1-3, determine the station that has power consumption and material that each production task comprises, set up the corresponding relation of station numbering and stock number and production task numbering, the corresponding relation of digital electric meter numbering and station numbering, the corresponding relation of radio-frequency identification reader/writer numbering and station numbering, and the corresponding relation of stock number and RFID tag numbering.The 10:15:32 in the morning on February 6th, 2014, production task T
3start to carry out.Production task T
3the stock number comprising is M
1, M
2, M
3, M
4and M
5, production task T
3the station quantity comprising is 6, but only has 4 stations to have power consumption, so only needs to use 5 RFID tag, 4 radio-frequency identification reader/writers and 4 digital electric meters, and is numbered.
By production task code T
awith stock number M
kbe associated, production task numbering can corresponding a plurality of stock numbers, and a stock number is only corresponding with a production task numbering; By production task code T
awith station numbering W
lbe associated, a production task numbering can be numbered by corresponding a plurality of stations, and a station numbering is only corresponding with a production task numbering; Digital electric meter is numbered to S
kwith station numbering W
lbe associated, and digital electric meter numbering only with the binding of a station numbering, a station numbering is also only bound a digital electric meter numbering; Radio-frequency identification reader/writer is numbered to r
ywith station numbering W
lbe associated, and radio-frequency identification reader/writer numbering only with the binding of a station numbering, a station numbering is also only bound a radio-frequency identification reader/writer numbering; RFID tag is numbered to o
xwith stock number M
kbe associated, and RFID tag numbering only with a stock number binding, a stock number is also only bound a RFID tag numbering.To being pasted with the material of RFID tag, need executable operations: after material machines on station, by the RFID tag on this material at the radio-frequency identification reader/writer place of this station brush once.
Because the data of incidence relation are stored in lane database with the form of tables of data, in database, the pass of order table and subprocess table is the relation of one-to-many, the pass of subprocess table and production task table is the relation of one-to-many, the pass of production task table and material table is the relation of one-to-many, the pass of production task table and station table is the relation of one-to-many, and in database, the pass of station table and digital electric meter table is man-to-man relation, the pass of station table and read write line table is man-to-man relation, and the relation of material table and label list is also man-to-man relation.
Step 2, reads and constantly obtains radio-frequency (RF) identification raw data in current RFID tag, and be converted to corresponding power consumption event, comprises power consumption value in power consumption event.
To the time, sequence number n carries out assignment: n=n+1.In order implementation, when the radio-frequency identification reader/writer that is arranged in station is responded to and reads the RFID tag on any one material, read event, obtain t
nconstantly read the radio-frequency (RF) identification raw data { o of event
x, r
y, t
n, radio-frequency (RF) identification raw data is radio-frequency identification reader/writer numbering r
y, RFID tag numbering o
xwith read time t
n.For example,, at t
115(t constantly
115value be " 2014-02-0610:34:26 "), production task T
3in be numbered r
3read write line sensed and be numbered o
3label, the radio-frequency (RF) identification raw data obtaining is so { o
3, r
3, t
115.
The radio-frequency (RF) identification raw data obtaining is transferred to database server and processed by RS232 interface, by t
nradio-frequency (RF) identification raw data { o constantly
x, r
y, t
nbe converted into a power consumption event E
e(t
n).According to read write line numbering r
yone-to-one relationship with station numbering Wl
rFID tag numbering o
xwith stock number M
kone-to-one relationship
and increase on this basis a material M
kat station W
lon power consumption numerical attribute △ E
lk, by t
nradio-frequency (RF) identification raw data is constantly converted to t
npower consumption event E constantly
e(t
n), the power consumption event data obtaining is respectively stock number M
k, station numbering W
l, time of origin t
nwith material M
kat station W
lpower consumption numerical value △ E
lk, after transforming, be formula (1):
E
e(t
n)={M
k,W
l,△E
lk,t
n} (1);
Be power consumption event={ stock number, station numbering, power consumption numerical value, time of origin }.For example, known read write line numbering r
3with station numbering W
3binding, tag number o
3with stock number M
3binding, the raw data { o mentioning in step 2 so
3, r
3, t
115can be converted to power consumption event E
e(t
115)={ M
3, W
3, △ E
33, t
115.Wherein, material M
3at station W
3power consumption numerical value △ E
33acquisition methods be: first read t
115moment station W
3the numerical value of upper digital electric meter: S
3(t
115)=94.015 (kWh); By search, station W
3the moment that a upper power consumption event occurs is t
106and the reading of this moment digital electric meter is: S
3(t
106)=93.964 (kWh); Calculating is at time interval [t
106, t
115] in, material M
3at station W
3power consumption: △ E
33=S
3(t
115)-S
3(t
106)=94.015-93.964=0.051 (kWh).To calculate power consumption numerical value assignment to power consumption event respective attributes △ E
lkupper, the power consumption event after assignment is: E
e(t
115)={ M
3, W
3, 0.051, t
115.Thereby know from station W
3during the generation of a upper power consumption event, be carved into t
115constantly, material M
3at station W
3power consumption value be 0.051 (kWh).
Step 3, according to the corresponding relation of step 1, utilizes step 2 gained power consumption event to be structured in and reads production task power consumption matrix constantly;
First build and initialization production task power consumption matrix, as the carrier of power consumption event data storage.In current embodiment, production task T
3the material quantity that has power consumption comprising is 5 (K=5), and the station quantity that has power consumption is 4 (L=4).Production task T so
3power consumption matrix E (t) be 5 row 4 column matrix, the row of matrix represents stock number M
k, matrix column represents station numbering W
l, the capable l column element of k E in matrix
(kl)(t) (1≤k≤5,1≤l≤4) represent to be carved into when order is assigned t constantly till, k material is at the power consumption numerical value of l station.
Next, to production task T
3power consumption matrix E (t) in all elements E
(kl)(t) (1≤k≤5,1≤l≤4) carry out assignment, and assignment is 0, and make assignment complete the moment for t
nand time sequence number n=0, has so far completed production task T
3the initialization of power consumption matrix E (t).
Then,, according to station numbering and stock number, determine the production task code T at place
a, power consumption event data is loaded into t
n-1moment production task T
apower consumption matrix, the matrix after substitution completes is t
nmoment production task T
apower consumption matrix.The power consumption event that processing obtains is E
e(t
115)={ M
3, W
3, 0.051, t
115, the production task at place is numbered T
3, and known t
114moment production task T
3power consumption matrix be:
By t
115power consumption event { M constantly
3, W
3, 0.051, t
115substitution is to t
114moment production task T
3the step of power consumption matrix as follows:
Step 3-1, according to power consumption event E
e(t
n) the stock number M that provides
kk value, station numbering W
ll value and power consumption numerical value △ E
lkif k=k1 and l=l1, so to t
n-1moment production task T
apower consumption matrix E (t
n-1) the capable l1 column element of k1 E
(k1, l1)(t
n-1) according to formula (2), make following assignment:
E
(k1,l1)(t
n)=E
(k1,l1)(t
n-1)+△E
lk (2)
E wherein
(k1, l1)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l1 column element of k1 value.
In this example, according to power consumption event E
e(t
n) the stock number M that provides
3with station numbering W
3, obtain k=3 and l=3, so to t
114moment production task T
3power consumption matrix E (t
114) the 3rd row the 3rd column element E
(3,3)(t
114) make following assignment:
E
(3,3)(t
115)=E
(3,3)(t
114)+△E
33=0+0.051=0.051(kWh) (3),
E wherein
(3,3)(t
115) be t
115moment production task T
3power consumption matrix E (t
115) the 3rd row the 3rd column element value.
Step 3-2, to t
n-1moment production task T
apower consumption matrix E (t
n-1) in except element E
(k1, l1)(t
n-1) the i.e. capable l column element of the k E of outer other element
(k, l)(t
n-1) (k ≠ k1 or l ≠ l1) make following assignment according to formula (4):
E
(k,l)(t
n)=E
(k,l)(t
n-1) (4),
E wherein
(k, l)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l row of k (k ≠ k1 or l ≠ l1) element value.
In this example, need be to t
114moment production task T
3power consumption matrix E (t
114) in except element E
(3,3)(t
114) the i.e. capable l column element of the k E of outer other element
(k, l)(t
114) (k ≠ 3 or l ≠ 3 are 3 when k is different with l) make following assignment:
E
(k,l)(t
115)=E
(k,l)(t
114) (5),
E wherein
(k, l)(t
115) be t
115moment production task T
3power consumption matrix E (t
115) the capable l row of k (k ≠ k1 or l ≠ l1) element value.
Step 3-3, to t
n-1moment production task T
apower consumption matrix E (t
n-1) in the matrix of all elements after according to step 3-2 assignment be t
nmoment production task T
apower consumption matrix.In this example, to t
114moment production task T
3power consumption matrix E (t
114) in the matrix of all elements after according to step 3-2 assignment be t
115moment production task T
3power consumption matrix, assigned result is:
By above step, completed power consumption matrix to t
115the storage of the power consumption event data constantly generating, obtains and gets ready for order implementation power consumption information.
Step 4, obtains the power consumption value of each several part in order implementation according to production task power consumption matrix.
The t that step 3 is obtained
nmoment production task T
apower consumption matrix in element value do summation operation, just can obtain t
nmoment production task T
apower consumption information, comprise the power consumption value of the power consumption value of material, the power consumption value of station and production task, its concrete steps are as follows:
Step 4-1, to t
nmoment production task T
athe value of power consumption matrix k row element according to formula (6), do summation operation, obtain production task T
ak material M
kpower consumption value:
EM wherein
k(t
n) for be carved into t when order is assigned
nconstantly, production task T
ak material M
kpower consumption value.
For example, t step 3-3 being obtained
115moment production task T
3power consumption matrix E (t
115) value of the 1st row element does summation operation, obtains the 1st material M of this production task
1power consumption value:
EM wherein
1(t
115) for be carved into t when order is assigned
115constantly, production task T
3the 1st material M
1power consumption value.
Step 4-2, to t
nmoment production task T
apower consumption matrix in the value of l column element according to formula (8), do summation operation, obtain production task T
al station W
lpower consumption value:
EW wherein
l(t
n) be to be carved into t when order is assigned
nconstantly, production task T
al station W
lpower consumption value.
For example, t step 3-3 being obtained
115power consumption matrix E (t constantly
115) value of the 1st column element does summation operation, must the 1st station W of this production task
1power consumption value:
EW wherein
1(t
115) for be carved into t when order is assigned
115constantly, production task T
3the 1st station W
1power consumption value.
Step 4-3, to t
nmoment production task T
apower consumption matrix in the value of all elements according to formula (10), do summation operation, obtain production task T
apower consumption value:
ET wherein
a(t
n) for be carved into t when order is assigned
nconstantly, production task T
apower consumption value.
For example, t step 3-3 being obtained
115power consumption matrix E (t constantly
115) value of all elements does summation operation, obtains production task T
3power consumption value:
ET wherein
3(t
115) for be carved into t when order is assigned
115constantly, production task T
3power consumption value.
Step 4-4, the binding relationship of the production task of setting up according to step 1-2 numbering and subprocess numbering, determines production task code T
aaffiliated subprocess numbering P
c, the power consumption value of the production task that this subprocess is comprised is done summation operation according to formula (12), obtains subprocess P
cpower consumption value:
Wherein A represents subprocess P
cthe production task number comprising, EP
c(t
n) for be carved into t when order is assigned
nconstantly, subprocess P
cpower consumption value.
In the present embodiment, according to the production task code T of step 2 gained
3affiliated subprocess is numbered P
2, subprocess P
2the production task comprising is T
1, T
2, T
3and T
4.From order D
8while assigning, be carved into t
115constantly, according to step 4-3 production task T
3power consumption value ET
3(t
115) be 0.686 (kWh), and known ET
1(t
115)=1.032 (kWh), ET
2(t
115)=0.865 (kWh), ET
4(t
115)=0 (kWh), to ET
1, ET
2, ET
3and ET
4do summation operation, obtain subprocess P
2(P
c=P
2) power consumption value:
EP wherein
2(t
115) for be carved into t when order is assigned
115constantly, subprocess P
2power consumption value.
Step 4-5, the binding relationship of the subprocess of setting up according to step 1-1 numbering and O/No., determines subprocess numbering P
caffiliated O/No. D
r, the power consumption value of the subprocess that this order is comprised is done summation operation according to formula (14), obtains order D
rpower consumption value:
Wherein C represents order D
rthe subprocess number comprising, ED
r(t
n) for be carved into t when order is assigned
nconstantly, order D
rpower consumption value.
In this example, according to step 1-1, subprocess P
2affiliated O/No. is D
8, order D
8the subprocess comprising is P
1, P
2, P
3, P
4and P
5.From order D
8while assigning, be carved into t
115constantly, according to step 4-4, subprocess P
2power consumption value EP
2(t
115) be 2.583 (kWh), and known EP
1(t
115)=4.260 (kWh), EP
3(t
115)=1.516 (kWh), EP
4(t
115)=0.493 (kWh) and EP
5(t
115)=0 (kWh), to EP
1, EP
2, EP
3, EP
4and EP
5do summation operation, obtain order D
8power consumption value:
ED wherein
8(t
115) for be carved into t when order is assigned
115constantly, order D
8power consumption value.
Step 5, judges whether to occur that according to the power consumption value of step 4 gained power consumption is abnormal: abnormal, to occurring that abnormal part carries out correspondence adjustment; Otherwise, enter step 6.
By t
nmoment production task T
ain the power consumption value EM of each material
k(t
n) with the power consumption upper limit of similar material
compare, wherein 1<k<K: if meet relational expression
show production task T
athe power consumption of each material is normal, does not generate early warning information; Otherwise generation early warning information, early warning information prompting power consumption value surpasses the abnormal material of threshold value, and by the stock number M of abnormal material
kpower consumption value EM with material
k(t
n) feedback be sent to terminal presentation facility, such as display, electronic board.
The material power consumption upper limit of the current embodiment of the present invention
set basis enterprise historical data set.In this example, according to enterprise's historical data, material M
1the power consumption upper limit
be 0.285 (kWh), from the result of calculation of step 4-1, to t
115constantly, production task T
3the 1st material M
1power consumption value EM
1(t
115) be 0.216 (kWh), meet formula
show the 1st material M
1power consumption normal at present, do not generate early warning information.
By t
nmoment production task T
ain the power consumption value EW of each station
l(t
n) with the power consumption upper limit of the similar material of similar station processing equal number
compare, wherein 1<l<L: if meet relational expression
the power consumption that shows each station is normal, does not generate early warning information; Otherwise generation early warning information, early warning information prompting power consumption value surpasses the abnormal station of threshold value, and by the station numbering W of abnormal station
lwith power consumption value EW
l(t
n) feedback be sent to terminal presentation facility, such as display, electronic board.
The station power consumption upper limit of the current embodiment of the present invention
set basis enterprise historical data set.In this example, according to enterprise's historical data, the similar material that setting quantity is 5 is in the power consumption upper limit of the 1st station W1
be 0.361 (kWh), from the result of calculation of step 4-2, to t
115constantly, production task T
3the 1st station W
1power consumption value EW
1(t
115) be 0.297 (kWh), meet formula
show the 1st station W
1power consumption normal at present, do not generate early warning information.
By t
nmoment production task T
apower consumption value ET
a(t
n) with the power consumption upper limit of carrying out similar production task
compare: if meet relational expression
production task T
apower consumption normal, do not generate early warning information; Otherwise generation early warning information, the power consumption value of early warning information prompting production task surpasses threshold value, and by the code T of abnormal production task
awith power consumption value T
a(t
n) feedback be sent to terminal presentation facility, such as display, electronic board.
The production task power consumption upper limit of the current embodiment of the present invention
set basis enterprise historical data set.In this example, according to enterprise's historical data, set the power consumption upper limit of the similar production task that is in batches 5
be 1.427 (kWh), from the result of calculation of step 4-3, to t
115constantly, production task T
3power consumption value ET
3(t
115) be 0.686 (kWh), meet formula:
show production task T
3power consumption normal at present, do not generate early warning information.
By t
nmoment subprocess P
cpower consumption value EP
c(t
n) with the power consumption upper limit of carrying out similar subprocess
compare: if meet relational expression
subprocess P
cpower consumption normal, do not generate early warning information; Otherwise generation early warning information, the power consumption value of early warning information prompting subprocess surpasses threshold value, and by the numbering P of abnormal subprocess
cwith power consumption value EP
c(t
n) feedback be sent to terminal presentation facility, such as display, electronic board.
The power consumption upper limit of subprocess of the present invention
set basis enterprise historical data set.In this example, according to enterprise's historical data, the power consumption upper limit of the similar subprocess that setting demand is 20
be 5.708 (kWh), from the result of calculation of step 4-4, to t
115constantly, subprocess P
2power consumption value EP
2(t
115) be 2.583 (kWh), meet formula
show subprocess P
2power consumption normal at present, do not generate early warning information.
By t
norder power consumption value ED constantly
r(t
n) with the power consumption upper limit of carrying out like product order
compare: if meet relational expression
order D
rpower consumption normal, do not generate early warning information; Otherwise generation early warning information, the power consumption value of early warning information prompting order surpasses threshold value, and by abnormal O/No. D
rwith power consumption value ED
r(t
n) feedback be sent to terminal presentation facility, such as display, electronic board.The power consumption upper limit of the order of the current embodiment of the present invention
set basis enterprise historical data set.In this routine current embodiment, according to enterprise's historical data, the power consumption upper limit of the like product order that setting demand is 20
be 30.173 (kWh), from the result of calculation of step 4-5, to t
115constantly, order D
8power consumption value ED
8(t
115) be 8.852 (kWh), meet formula
show order D
8power consumption normal at present, do not generate early warning information.
Early warning information and be presented at the abnormal station W on terminal device
l, abnormal material M
k, abnormal production task T
a, abnormal subprocess P
cor abnormal order D
r, by adjust the abnormal station of power consumption production equipment, change the abnormal material of power consumption, rearrange production task or adjust production lot, make order power consumption recover normal.For example, when the production equipment of the abnormal station of power consumption is adjusted, can check abnormal station W
lthe machined parameters (speed of mainshaft, tool type, chipping allowance, etc.) of equipment whether wrong, if wrong, reset, make power consumption recover normal.To t
115constantly, each station W
l, material M
k, production task T
3, subprocess T
2with order D
8power consumption all normal, therefore do not need order D
8relevant production equipment, material or production task are adjusted.
Step 6, judges whether order execution completes: do not complete, carry out next RFID tag constantly and read, return to step 2; Otherwise, finish order and carry out.
The order that judgement is assigned is at t
nconstantly whether complete, judge that the method whether order complete is as follows: inquire about product that order is corresponding at t
nquantity performed constantly, if product quantity performed reaches order demand, order completes.
If order completes, process ends; Otherwise sequence number n is assignment n=n+1 to the time, and get back to step 2, obtain next t constantly
n+1(in current embodiment, should be t
116) radio-frequency (RF) identification raw data, start next t constantly
n+1order power consumption calculate and control, detailed process is the same, repeats no more.In the present embodiment, by inquiry order D
8corresponding final products are at t
115quantity performed constantly, completed product quantity is 0, and order demand is 20, so order do not complete, and need go to step 2, obtains t
116(t constantly
116value be " 2014-02-0610:35:30 ") radio-frequency (RF) identification raw data, and to t
116order power consumption constantly calculates and controls.
The present invention contributes to understand all sidedly in real time order implementation power consumption information; power consumption that order implementation is occurred is abnormal or depart from fast and judge, locate and recover; effectively improve the power consumption monitoring level of Discrete Manufacturing Enterprise, thereby guarantee that enterprise electrical energy efficiently utilizes.
Claims (9)
1. obtaining and an energy-saving control method of order implementation power consumption, is characterized in that, comprises the steps:
Step 1, obtains order, and obtains the numbering between each several part and corresponding relation in order implementation;
Step 2, reads and constantly obtains radio-frequency (RF) identification raw data in current RFID tag, and be converted to corresponding power consumption event, comprises power consumption value in power consumption event;
Step 3, according to the corresponding relation of step 1, utilizes step 2 gained power consumption event to be structured in and reads production task power consumption matrix constantly;
Step 4, obtains the power consumption value of each several part in order implementation according to production task power consumption matrix;
Step 5, judges whether to occur that according to the power consumption value of step 4 gained power consumption is abnormal: abnormal, to occurring that abnormal part carries out correspondence adjustment; Otherwise, enter step 6;
Step 6, judges whether order execution completes: do not complete, carry out next RFID tag constantly and read, return to step 2; Otherwise, finish order and carry out.
2. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 1, is characterized in that, in step 1, in order implementation, the corresponding relation of each several part is as follows:
The numbering of the numbering of an order to a plurality of subprocess that should order comprise;
The numbering of the numbering of each subprocess to a plurality of production tasks that should subprocess comprise;
The numbering of each production task is to the station numbering and the stock number that should production task comprise;
Each station numbering is corresponding with a digital electric meter numbering and a radio-frequency identification reader/writer numbering;
Each stock number is corresponding with a RFID tag numbering.
3. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 1, it is characterized in that, in step 2, in RFID tag, reading the method for constantly obtaining corresponding radio-frequency (RF) identification raw data is: when being arranged in radio-frequency identification reader/writer on station and responding to and read the RFID tag on material, obtain t
nconstantly read the radio-frequency (RF) identification raw data { o of event
x, r
y, t
n, radio-frequency (RF) identification raw data is radio-frequency identification reader/writer numbering r
y, RFID tag numbering o
xwith read time t
n.
4. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 3, is characterized in that, in step 2, RFID tag is read to the radio-frequency (RF) identification raw data of constantly obtaining, and to be converted to the mode of corresponding power consumption event as follows:
According to radio-frequency identification reader/writer numbering and the corresponding relation of station numbering and the corresponding relation of RFID tag numbering and stock number, radio-frequency (RF) identification raw data is converted to power consumption event, and each power consumption event comprises: stock number, station numbering, power consumption numerical value and time of origin; Wherein, in RFID tag, read material M constantly
kat station W
lpower consumption numerical value △ E
lkacquisition methods be:
Step 2-1, reads t constantly in current RFID tag
nread station W
lon digital electric meter numerical value S
k(t
n);
Step 2-2, sets m=n-1, inquires about the station numbering W that reads generation for the m time
l(t
m), judge and read the station numbering W that event occurs for the m time
l(t
m) number W with the station of reading event generation for the n time
l(t
n) whether identical: if different, time sequence number m is done to assignment: m=m-1, judges W again
l(t
m) and W
l(t
n) between relation, until W
l(t
m)=W
l(t
n); Work as W
l(t
m) equal first W
l(t
n) or during m=0, read t
mmoment station W
lon digital electric meter numerical value S
k(t
m);
Step 2-3, calculates at time interval [t
m, t
n] in, material M
kat station W
lpower consumption numerical value: △ E
lk=S
k(t
n)-S
k(t
m).
5. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 1, is characterized in that, in step 3, for setting production task T
a, the material quantity that includes power consumption is K, and to have the station quantity of power consumption be L, production task T
aproduction task power consumption matrix E (t) be expressed as follows:
The capable l column element of k E in matrix
(kl)(t) represent to be carved into when order is assigned t constantly till, k material is at the power consumption numerical value of l station; At t=t
0constantly, all elements E in production task power consumption matrix E (t)
(kl)(t) be 0.
6. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 5, is characterized in that, step 3 is specific as follows:
Step 3-1, according to the corresponding relation of the station numbering of setting up in step 1 and stock number and production task numbering, determines station numbering W
lwith stock number M
kthe production task code T at place
a;
Step 3-2, according to power consumption event E
e(t
n) the stock number M that provides
kk value, station numbering W
ll value and power consumption numerical value △ E
lk, calculate accordingly:
If k=k1 and l=l1, so to t
n-1moment production task T
apower consumption matrix E (t
n-1) the capable l1 column element of k1 E
(k1, l1)(t
n-1) carrying out assignment, formula is as follows:
E
(k1,l1)(t
n)=E
(k1,l1)(t
n-1)+△E
lk
Wherein, E
(k1, l1)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l1 column element of k1 value;
To t
n-1moment power consumption matrix E (t
n-1) in meet the element E of k ≠ k1 or l ≠ l1
(k, l)(t
n-1) according to following formula, carry out assignment:
E
(k,l)(t
n)=E
(k,l)(t
n-1)
Wherein, E
(k, l)(t
n) be t
nmoment production task T
apower consumption matrix E (t
n) the capable l column element of k value;
Step 3-3, according to step 3-2, to t
n-1moment power consumption matrix E (t
n-1) middle all elements assignment, gained matrix is t
nmoment production task T
apower consumption matrix.
7. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 6, is characterized in that, in step 4, obtains the power consumption value of each several part in order implementation according to production task power consumption matrix, specific as follows:
Step 4-1, sues for peace to the value of power consumption matrix k row element, obtains production task T
ak material M
kpower consumption value, sum formula is:
Wherein, EM
k(t
n) for be carved into t when order is assigned
nconstantly, production task T
ak material M
kpower consumption value;
Step 4-2, sues for peace to the value of l column element in power consumption matrix, obtains production task T
al station W
lpower consumption value, sum formula is:
Wherein, EW
l(t
n) for be carved into t when order is assigned
nconstantly, production task T
al station W
lpower consumption value;
Step 4-3, sues for peace to the value of all elements in power consumption matrix, obtains production task T
apower consumption value, sum formula is:
ET wherein
a(t
n) for be carved into t when order is assigned
nconstantly, production task T
apower consumption value;
Step 4-4, the corresponding relation according to production task numbering with subprocess numbering, determines production task code T
aaffiliated subprocess numbering P
c, the power consumption value of the production task that this subprocess is comprised is sued for peace, and obtains subprocess P
cpower consumption value, sum formula is:
Wherein A represents subprocess P
cthe production task number comprising, EP
c(t
n) for be carved into t when order is assigned
nconstantly, subprocess P
cpower consumption value;
Step 4-5, the corresponding relation according to subprocess numbering with O/No., determines subprocess numbering P
caffiliated O/No. D
r, the power consumption value of the subprocess that this order is comprised is sued for peace, and obtains order D
rpower consumption value, sum formula is:
Wherein, C represents order D
rthe subprocess number comprising, ED
r(t
n) for be carved into t when order is assigned
nconstantly, order D
rpower consumption value.
8. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 1, is characterized in that, in step 5, judges whether to occur that the abnormal mode of power consumption is as follows:
At t
nconstantly, each order, each subprocess, each production task, each material and each station are compared with the corresponding power consumption value upper limit: as surpassed the power consumption value upper limit, power consumption is abnormal, otherwise normal.
9. obtaining and energy-saving control method of order implementation power consumption as claimed in claim 1, is characterized in that, in step 6, judges that the method whether order complete is as follows: product corresponding to inquiry order is at t
nquantity performed constantly, if product quantity performed reaches order demand, order completes.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109032087A (en) * | 2018-07-06 | 2018-12-18 | 合肥工业大学 | The diagnosis of equipment of industrial product power consumption state and Evaluation on Energy Saving method and system |
CN111414983A (en) * | 2020-03-25 | 2020-07-14 | 浙江大学 | Processing workshop electric energy consumption control method based on radio frequency identification and scheduling |
CN114510682A (en) * | 2022-04-21 | 2022-05-17 | 深圳丰尚智慧农牧科技有限公司 | Energy consumption calculation method and device, computer equipment and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009108015A2 (en) * | 2008-02-28 | 2009-09-03 | 스마트애드인 | Rfid reader generating switching signal and power saving system including the same |
KR20100104438A (en) * | 2009-03-18 | 2010-09-29 | 최해용 | Apparatus and method for minimizing power consumption in computer using rfid |
CN103280087A (en) * | 2013-05-21 | 2013-09-04 | 李佰战 | Wireless meter reading method |
-
2014
- 2014-05-29 CN CN201410235001.4A patent/CN104076768B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009108015A2 (en) * | 2008-02-28 | 2009-09-03 | 스마트애드인 | Rfid reader generating switching signal and power saving system including the same |
KR20100104438A (en) * | 2009-03-18 | 2010-09-29 | 최해용 | Apparatus and method for minimizing power consumption in computer using rfid |
CN103280087A (en) * | 2013-05-21 | 2013-09-04 | 李佰战 | Wireless meter reading method |
Non-Patent Citations (2)
Title |
---|
唐任仲等: "基于无线射频识别技术的车间在制品物流状态分析", 《计算机集成制造系统》 * |
邹旭东: "RFID在电能计量系统中的应用", 《商品储运与养护》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109032087A (en) * | 2018-07-06 | 2018-12-18 | 合肥工业大学 | The diagnosis of equipment of industrial product power consumption state and Evaluation on Energy Saving method and system |
CN111414983A (en) * | 2020-03-25 | 2020-07-14 | 浙江大学 | Processing workshop electric energy consumption control method based on radio frequency identification and scheduling |
CN111414983B (en) * | 2020-03-25 | 2021-02-12 | 浙江大学 | Processing workshop electric energy consumption control method based on radio frequency identification and scheduling |
CN114510682A (en) * | 2022-04-21 | 2022-05-17 | 深圳丰尚智慧农牧科技有限公司 | Energy consumption calculation method and device, computer equipment and storage medium |
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