CN109902871A - A kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature - Google Patents

A kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature Download PDF

Info

Publication number
CN109902871A
CN109902871A CN201910147588.6A CN201910147588A CN109902871A CN 109902871 A CN109902871 A CN 109902871A CN 201910147588 A CN201910147588 A CN 201910147588A CN 109902871 A CN109902871 A CN 109902871A
Authority
CN
China
Prior art keywords
difference
production line
analysis system
unit consumption
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910147588.6A
Other languages
Chinese (zh)
Other versions
CN109902871B (en
Inventor
赵世运
付学强
唐文浩
张婷婷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WANZHOU ELECTRICAL CO Ltd
Original Assignee
WANZHOU ELECTRICAL CO Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by WANZHOU ELECTRICAL CO Ltd filed Critical WANZHOU ELECTRICAL CO Ltd
Priority to CN201910147588.6A priority Critical patent/CN109902871B/en
Publication of CN109902871A publication Critical patent/CN109902871A/en
Application granted granted Critical
Publication of CN109902871B publication Critical patent/CN109902871B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Entitled a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature of the invention.Belong to energy management and field of energy-saving technology.It, which mainly solves existing system, to carry out relevant analytic function for the problem that the differentiation feature of production line, can not know that production line generates the reason of operation generates differentiation.Being mainly characterized by comprising: for it includes energy management centring system, energy consumption on-line monitoring analysis system, production line difference analysis system with monitoring and statistical function;Production line difference analysis system includes that production line unit consumption difference analysis system, history optimal value difference analysis system, equipment operating parameter difference analysis system and different production lines run difference analysis system.The present invention obtains some conclusions for optimizing production line energy consumption, guarantee production line safe operation by these analyses, eventually finds the principal element for causing difference, is the current processing parameter of optimization of enterprises, reaches and promotes yield reduction energy consumption offer direction.

Description

A kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature
Technical field
The invention belongs to energy managements and field of energy-saving technology, and in particular to a kind of combination enterprise production line differentiation feature Intelligent optimization energy conserving system.
Background technique
Currently, energy shortage and problem of environmental pollution have become global problem, in the energy consumption in China, industry It is the rich and influential family of AND ENERGY RESOURCES CONSUMPTION IN CHINA, energy-output ratio accounts for 70% or so of national total energy consumption, and energy conservation and environmental protection have become entirely The problem of social growing interest.Traditional energy resources height consumption has been difficult for extensive Industry Control management development road After changing the mode of economic development of traditional high consumption, high pollution and poor benefit, developing one with intelligent production system is branch Support produces road as purpose Novel clean using low consumption, low emission, efficient resource-conserving circular economy and has compeled in eyebrow Eyelash.
Currently, most of IT application in enterprises is low with degree, energy management level is more extensive, is supervised using manual type Survey statistics energy consumption, the poor accuracy of data statistic analysis.Energy consumption on-line monitoring system and the energy are proposed there are many producer The problem of administrative center's system software, this kind of software product is able to solve energy consumption monitoring and energy consumption statistic substantially, but it is this kind of soft Part carries out relevant analytic function general lack of the differentiation feature for production line, can not know that production line generates operation and generates The reason of differentiation.It is mainly manifested in the missing of following several aspects.
First is that it is raised as a result, in many cases can only passively to receive unit consumption when the unit consumption of product of production line changes Method due to lacking enough measuring equipments and statistical analysis, can not know and cause the raised concrete reason of unit consumption, can not adopt Effective measures are taken to go to reduce unit consumption.
Two are a lack of the long-time statistical analysis to historical data, when unit consumption is lower, every core of production line operation Heart technological parameter does not record.Direction can not be provided to reduce the difference of unit consumption, reduction and history optimum value.
It is compared third is that lacking inside production line between the real-time running data of equipment and the operation data of history.? When production line internal operation data generate difference, it cannot find and be adjusted in time.This is mainly manifested in equipment operating parameter In normal range, but fluctuate the situation of exception or variation tendency exception.
Differentiation is analyzed fourth is that lacking between a plurality of production line, this is primarily directed to using same process, life Produce being compared between the production line of like products.These line configurations may be different, but same process position The energy consumption parameter of equipment, workshop section etc. and the difference of operating parameter should be the situations in a reasonable range, and practical It is that seen energy management system, the energy monitor analysis system all not analyses of related fields on-line on the market at present.
Summary of the invention
The present invention is in view of the above-mentioned problems of the prior art, propose a kind of combination industrial production line differentiation feature Intelligent optimization energy conserving system, except have existing energy management centring system function and energy consumption on-line monitoring analysis system monitoring and Outside statistical function, also have for production line generate differentiation the reason of analyzed, obtain optimization production line energy consumption, Ensure the function of production line safe operation conclusion.
The technical solution of the invention is as follows: a kind of intelligent optimization energy conservation system of combination industrial production line differentiation feature System monitors analysis system on-line including energy management centring system, the energy consumption with monitoring and statistical function, it is characterised in that: It further include production line difference analysis system;The production line difference analysis system includes production line unit consumption difference analysis system System, history optimal value difference analysis system, equipment operating parameter difference analysis system and different production lines run differentiation Analysis system.
Production line unit consumption difference analysis system described in technical solution of the invention includes teams and groups' unit consumption difference Change analysis system and workshop section (process) day unit consumption difference analysis system.Teams and groups' unit consumption difference analysis system is for production The unit consumption of product difference of shift difference teams and groups finds out influence unit consumption according to the unit consumption comparative analysis of history optimal value and each teams and groups Workshop section's (process), and then the reason of navigate to the generation unit consumption difference of specific equipment and link, and propose a solution, realize It is energy-saving.Workshop section's (process) day unit consumption difference analysis system is for all workshop section'ss (process) of full production line selected Production cycle in unit consumption difference comparative analysis, navigate to generate unit consumption difference specific equipment and link, and then analyze The hour unit consumption difference of the specific equipment and link, navigates to specific equipment and time for difference, is convenient for enterprise administrator The reason of energy consumption generates difference is analyzed, corresponding processing method is found.
History optimal value difference analysis system described in technical solution of the invention, by existing unit consumption index The unit consumption index optimal with history compares and analyzes, and finds out the link of difference generation, contrast difference's link unit consumption hourly Difference, then contrast difference's link core process parameter hourly, eventually finds the factor for causing difference.For optimization of enterprises mesh Preceding processing parameter reaches and promotes yield reduction energy consumption offer direction.
Equipment operating parameter difference analysis system described in technical solution of the invention includes the fortune of same equipment Row parameter and historical operating parameter differentiation comparative analysis system, fluctuation anomalous variance analysis system, same operating condition with equipment The difference analysis system of equipment.The operating parameter and historical operating parameter differentiation comparative analysis system monitoring of the same equipment Whether the operation data of equipment is in normal range, when the operation data of equipment does not reach more line alert if, but exceeds When normal operation range, equipment should be safeguarded in time.To reduce the energy consumption of equipment operation, ensures the operational safety of equipment, avoid The disorderly closedown of equipment.The fluctuation anomalous variance analysis system of the same equipment monitors machine utilization fluctuation frequency when operating normally Rate and ambit issue warning note when vibration frequency and range obviously increase.Most of appearance of such case be by Certain failure has occurred in equipment, if shutdown maintenance not in time, is likely to result in bigger damage and unplanned failure is stopped Machine, intelligent optimization energy conserving system of the present invention can analyze this fluctuation abnormal conditions, and business administration is made then Enough discoveries in time, can be avoided the loss of failure bring.The operating condition identical with the difference analysis system monitoring of operating condition equipment The payload of equipment and the difference of load variations trend, the abnormal operating condition of timely discovering device, and abnormality is adopted Take pointedly measure.
Different production line operation difference analysis systems described in technical solution of the invention are similar by two The every production target and energy consumption index of production line are compared, and are analyzed for the deviation of indices, and analysis is inclined Whether difference to obtain point that production line be operating abnormally, promotes the timely solution of problem in normal range (NR), realizes production line safety Operation and energy-saving run.
The specific implementation process of teams and groups' unit consumption difference analysis system described in technical solution of the invention includes Following steps: (1) option date obtains teams and groups' information from intelligent optimization energy conserving system after selecting exact date first, including Teams and groups' yield data, teams and groups' energy consumption data, process energy consumption data;(2) teams and groups' unit consumption is calculated, teams and groups' unit consumption differential magnitude is compared; (3) judge whether within the set range;(4) if it is within range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " two classes Group difference is smaller ";(5) if not calculating in range, continue the energy consumption difference and unit consumption difference of analyzing each process;It is poor to find energy consumption The process that different larger and unit consumption differs greatly;(6) conclusion 2 is exported;Conclusion 2 includes teams and groups' unit consumption difference value, and energy consumption difference is maximum Three processes, maximum three processes of unit consumption difference, show energy consumption difference, unit consumption difference;
The specific implementation process of the workshop section or process day unit consumption difference analysis system comprises the steps of: that (1) is selected first The another day phase obtains daily output data, day energy consumption data, process energy consumption from intelligent optimization energy conserving system after selecting exact date Data;(2) two days unit consumption for calculating comparison, compare day unit consumption differential magnitude;(3) judge whether within the set range;(4) if In range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " difference is smaller within two days ";(5) if not calculated in range, after The energy consumption difference and unit consumption difference of continuous analysis each process;Find the process that energy consumption differs greatly and unit consumption differs greatly;(6) continue It differs greatly to energy consumption and process that unit consumption differs greatly is analyzed, analyze difference hourly;(7) conclusion 2 is exported;Conclusion 2 include day unit consumption difference value, maximum three processes of daily variation, maximum three processes of unit consumption difference, energy consumption difference maximum, list Consume the difference maximum time.
The specific real time process flow packet of history optimal value difference analysis system described in technical solution of the invention Containing following steps: (1) condition of comparative selection analysis, condition include the energy consumption index title between timesharing first;(2) intelligence is obtained Energy Optimization of Energy Saving system data, these data include energy consumption data and creation data necessary to parameter value, also comprising tool The standard Value Data of body index;The long term data obtained when history optimal value by intelligent optimization energy conserving system, programming count phase Corresponding production core process parameter values when answering the optimal value and optimal value of index;(3) it is calculated according to Index Formula and is accordingly referred to Scale value comparison;(4) whether judge index value is in the range of corresponding standard value regulation;(5) if index value is in normal range (NR) It is interior, then prompt index value normal;If index value not in normal range, is shown not in the normal range;If comparison Standard value is optimal value, then shows corresponding core process ginseng when the corresponding core process parameter of existing index value and optimal value Number;The direction of deviation adjusting is then provided for business administration.
The specific implementation index of equipment operating parameter difference analysis system described in technical solution of the invention Comprising the steps of: that (1) production line 1 and production line 2 require is using identical production technology and to produce two of like products not Same production line calculates the indices of this two production lines;(2) difference of index is compared after calculating;(3) defeated Conclusion out;If comparison is normal, exports production line index and compare normal conclusion, if abnormal, positioning to that life Production link index is abnormal, exports the conclusion of off-normal position, abnormal index value.
The specific implementation process of equipment operating parameter difference analysis system described in technical solution of the invention Comprise the steps of: equipment, the vibration frequency, fluctuation range of (1) setting analysis;(2) obtaining n real time data judgement fluctuation is No exception;Judgment method is to subtract previous data with the latter data, then with the fluctuation range of obtained data and setting It is compared, if thering are each data of m to have exceeded the fluctuation model of setting by each data of n-1 that n real time data is subtracted each other It encloses, then carrying out fluctuation abnormal alarm.
The specific implementation stream of different production line operation difference analysis systems described in technical solution of the invention Journey comprises the steps of: that (1) device data includes mean power, real-time current, operation trend;Pass through intelligent optimization energy conserving system Collected data calculate automatically;(2) displaying is compared to these data and trend;(3) conclusion of output comparison.
The present invention is in addition to having the prison of energy management centring system common on the market, energy consumption on-line monitoring analysis system It surveys, outside statistical function, the reason of differentiation generated also directed to production line is analyzed, and obtains optimization life by these analyses Producing line energy consumption, some conclusions for ensureing production line safe operation, eventually find the principal element for causing difference, are that enterprise is excellent Change current processing parameter, reaches and yield reduction energy consumption offer direction is provided.
Detailed description of the invention
Fig. 1 is the difference analysis specific implementation flow chart of different teams and groups' unit consumption of the invention.
Fig. 2 is the difference analysis specific implementation flow chart of different day unit consumption of the invention.
Fig. 3 is history optimal value difference analysis specific implementation flow chart of the invention.
Fig. 4 is the fluctuation anomalous varianceization analysis specific implementation flow chart of same equipment of the invention.
Fig. 5 is the difference analysis specific implementation flow chart of same operating condition equipment of the invention.
Fig. 6 is different production lines operation difference analysis specific implementation flow chart of the invention.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
A kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature of the present invention, including energy management center System, the energy consumption with monitoring and statistical function monitor analysis system, production line difference analysis system on-line.Wherein, the energy Administrative center's system, with monitoring and statistical function energy consumption on-line monitoring analysis system with it is existing same or similar.Production line Difference analysis system includes production line unit consumption difference analysis system, history optimal value difference analysis system, equipment operation Parameter difference alienation analysis system and different production lines run difference analysis system.
Production line unit consumption contrast difference analysis includes teams and groups contrast difference analysis and day unit consumption contrast difference analysis.
The specific implementation process of teams and groups' unit consumption comparative analysis is as shown in Figure 1 comprising the steps of:
(1) option date obtains teams and groups' information, including teams and groups from intelligent optimization energy conserving system after selecting exact date first Yield data, teams and groups' energy consumption data, process energy consumption data;
(2) teams and groups' unit consumption is calculated, teams and groups' unit consumption differential magnitude is compared;
(3) judge whether within the set range;
(4) if it is within range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " Liang Ge teams and groups difference is smaller ";
(5) if not calculating in range, continue the energy consumption difference and unit consumption difference of analyzing each process;Find energy consumption differ greatly and The process that unit consumption differs greatly;
(6) conclusion 2 is exported;Conclusion 2 includes teams and groups' unit consumption difference value, maximum three processes of energy consumption difference, unit consumption difference maximum Three processes, show energy consumption difference, unit consumption difference.
It is compared and analyzed by regular between teams and groups, finds discrepancy, then promote the mutual friendship between teams and groups Stream, finds reason of discrepancies, can effectively facilitate producers' experience and share, and level improves, and then reduces energy consumption.
The specific implementation process of workshop section (process) day unit consumption comparative analysis is as shown in Figure 2 comprising the steps of:
(1) option date obtains daily output data, day energy consumption from intelligent optimization energy conserving system after selecting exact date first Data, process energy consumption data;
(2) two days unit consumption for calculating comparison, compare day unit consumption differential magnitude;
(3) judge whether within the set range;
(4) if it is within range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " difference is smaller within two days ";
(5) if not calculating in range, continue the energy consumption difference and unit consumption difference of analyzing each process;Find energy consumption differ greatly and The process that unit consumption differs greatly;
(6) process for continuing to differ greatly to energy consumption and unit consumption differs greatly is analyzed, and difference hourly is analyzed;
(7) conclusion 2 is exported;Conclusion 2 includes day unit consumption difference value, maximum three processes of daily variation, unit consumption difference maximum three A process, energy consumption difference maximum, unit consumption difference maximum time.
By finding the concrete reason of the different generation of unit consumption on the two, can targetedly take measures.
History optimal value difference analysis is to compare and analyze the energy consumption index of enterprise and history optimal value, find out with The gap of history optimal value continues optimization technique for enterprise, persistently energy-saving provides direction.
The specific real time process flow of standard value analysis is as shown in Figure 3 comprising the steps of:
(1) condition of comparative selection analysis, condition include the energy consumption index title between timesharing first;
(2) intelligent optimization energy conserving system data are obtained, these data include energy consumption data and production necessary to parameter value Data also include the standard Value Data of specific targets;
The long term data obtained when history optimal value by intelligent optimization energy conserving system, the optimal value of programming count corresponding index and Corresponding production core process parameter values when optimal value;
(3) comparison of corresponding index value is calculated according to Index Formula;
(4) whether judge index value is in the range of corresponding standard value regulation;
(5) if index value in the normal range, prompts index value normal;If index value not in normal range, is shown Show not in the normal range;If the standard value of comparison is optimal value, the corresponding core process parameter of existing index value is shown And corresponding core process parameter when optimal value;The direction of deviation adjusting is then provided for business administration.
Production line comparative analysis be the every production target and energy consumption index of two similar production lines are carried out it is mutually right Than being analyzed for the deviation of indices, whether analysis deviation is just producing range.To obtain what production line was operating abnormally Point promotes breaking off relations in time for problem.Realize production line safe operation and energy-saving run.
The specific implementation index of production line comparison is as shown in Figure 4 comprising the steps of:
(1) production line 1 and production line 2 require to be two different production lines using identical production technology and production like products. The indices of this two production lines are calculated first;
(2) difference of index is compared after calculating.Under normal circumstances, two techniques are identical, identical two production of product Line, the difference of index can be stablized within the scope of one, if having exceeded this range, production link is to have place certainly It there is a problem;
(3) conclusion is exported.If comparison is normal, exports the normal conclusion of production line index comparison and positioned if abnormal It is abnormal to that production link index, export the conclusion of off-normal position, abnormal index value.
Equipment operating parameter difference analysis includes operating parameter and historical operating parameter differentiation with equipment to score Analysis, with equipment fluctuation anomalous varianceization analyze, with the difference analysis of operating condition equipment.
The operation data and history parameters comparative analysis of equipment.By the way that the operation data of equipment and historical data are carried out pair Than, two angles are compared to when operation trend from numerical value and are analyzed, are compared by the data to two times, if Beyond setting range, output alarm conclusion.It chooses more days historical datas to be analyzed, analyzes the variation tendency of operation data, If there is the lasting trend to become larger, output alarm conclusion.
The unusual fluctuations of equipment are analyzed.In production scene, the fluctuation when operating normally of many equipment is very little, if More frequent fluctuation has occurred in this kind of equipment in a short time, then equipment is possible to need in time there are potential faults Reparing.The intelligent optimization energy conserving system that this patent is stated, the integrated algorithm for judging that equipment fluctuation is abnormal, can find to set in time Standby abnormal operating condition.It is as shown in Figure 5 that process is embodied comprising the steps of:
(1) equipment, the vibration frequency, fluctuation range of setting analysis;
(2) it obtains n real time data and judges whether fluctuation is abnormal.Judgment method is to subtract previous data with the latter data, Then it is compared with the fluctuation range of obtained data and setting, if passing through each number of n-1 that n real time data is subtracted each other In, there are each data of m to have exceeded the fluctuation range of setting, then carrying out fluctuation abnormal alarm.
The function can make production line production management personnel find the abnormal situation of fluctuation in time, avoid bringing bigger damage It loses.
With operating condition equipment comparative analysis.There is the equipment of many identical operating conditions in production line, these equipment are in adjacent technique position It sets, power is identical, but their payload and the variation tendency of load have differences in many cases.This species diversity be by Caused by equipment does not adjust operating status, such case is not there is only energy consumption waste, and there is also security risks.For The specific implementation process of such case, same operating condition equipment comparative analysis proposed by the present invention is as shown in Figure 6 comprising the steps of:
(1) device data includes mean power, real-time current, operation trend.Pass through the collected number of intelligent optimization energy conserving system It is calculated according to automatic.
(2) displaying is compared to these data and trend.
(3) conclusion of output comparison.
The above is merely preferred embodiments of the present invention, be not intended to restrict the invention, it is all in spirit of the invention and Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within principle.

Claims (10)

1. a kind of intelligent optimization energy conserving system of combination industrial production line differentiation feature, including energy management centring system, tool There is the energy consumption of monitoring and statistical function to monitor analysis system on-line, it is characterised in that: to further include production line difference analysis system; The production line difference analysis system include production line unit consumption difference analysis system, history optimal value difference analysis system, Equipment operating parameter difference analysis system and different production lines run difference analysis system.
2. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 1, special Sign is: the production line unit consumption difference analysis system includes teams and groups' unit consumption difference analysis system and workshop section or process day Unit consumption difference analysis system;Teams and groups' unit consumption difference analysis system is poor for the unit consumption of product of production shift difference teams and groups It is different, according to the unit consumption comparative analysis of history optimal value and each teams and groups, the workshop section for influencing unit consumption or process are found out, and then navigate to tool The reason of generation unit consumption difference of body equipment and link, and propose a solution, it realizes energy-saving;The workshop section or process day Unit consumption difference of the unit consumption difference analysis system for full production line all workshop section or process within the selected production cycle Comparative analysis navigates to the specific equipment and link for generating unit consumption difference, and then the hour for analyzing the specific equipment and link is single The reason of consuming difference, difference is navigated to specific equipment and time, generating difference convenient for enterprise administrator analysis energy consumption, looks for To corresponding processing method.
3. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 1 or 2, It is characterized in that: the history optimal value difference analysis system, by the unit consumption index that existing unit consumption index and history are optimal It compares and analyzes, finds out the link of difference generation, contrast difference's link unit consumption difference hourly, then contrast difference's link Core process parameter hourly, eventually finds the factor for causing difference;For the current processing parameter of optimization of enterprises, reach Promoting yield reduces energy consumption offer direction.
4. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 1 or 2, Be characterized in that: the equipment operating parameter difference analysis system include same equipment operating parameter and historical operating parameter it is poor Alienation comparative analysis system, with the fluctuation anomalous variance analysis system of equipment, with the difference analysis system of operating condition equipment;Institute The operating parameter of same equipment and the operation data of historical operating parameter differentiation comparative analysis system monitoring equipment are stated whether just In normal range, when the operation data of equipment does not reach more line alert if, but exceeds normal operation range, equipment answer and When safeguard;The fluctuation anomalous variance analysis system of the same equipment monitors machine utilization vibration frequency and range when operating normally Situation issues warning note when vibration frequency and range obviously increase.
5. a kind of industrial intelligent based on the analysis of emphasis energy consumption equipment Model Diagnosis according to claim 1 or 2 optimizes section Energy system, it is characterised in that: the different production lines run difference analysis system for the items of two similar production lines Production target and energy consumption index are compared, and are analyzed for the deviation of indices, and whether analysis deviation is normal Range promotes the timely solution of problem to obtain the point that production line is operating abnormally, and realizes production line safe operation and energy conservation fortune Row.
6. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 2, special Sign is: the specific implementation process of teams and groups' unit consumption difference analysis system comprises the steps of: that (1) selects day first Phase obtains teams and groups' information, including teams and groups' yield data, teams and groups' energy consumption from intelligent optimization energy conserving system after selecting exact date Data, process energy consumption data;(2) teams and groups' unit consumption is calculated, teams and groups' unit consumption differential magnitude is compared;(3) judge whether in setting range It is interior;(4) if it is within range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " Liang Ge teams and groups difference is smaller ";(5) if not existing It is calculated in range, continues the energy consumption difference and unit consumption difference of analyzing each process;Find that energy consumption differs greatly and unit consumption differs greatly Process;(6) conclusion 2 is exported;Conclusion 2 includes teams and groups' unit consumption difference value, and maximum three processes of energy consumption difference, unit consumption difference is most Three big processes show energy consumption difference, unit consumption difference;
The specific implementation process of the workshop section or process day unit consumption difference analysis system comprises the steps of: that (1) is selected first The another day phase obtains daily output data, day energy consumption data, process energy consumption from intelligent optimization energy conserving system after selecting exact date Data;(2) two days unit consumption for calculating comparison, compare day unit consumption differential magnitude;(3) judge whether within the set range;(4) if In range, conclusion 1 is exported;The conclusion of conclusion 1 can be referenced as " difference is smaller within two days ";(5) if not calculated in range, after The energy consumption difference and unit consumption difference of continuous analysis each process;Find the process that energy consumption differs greatly and unit consumption differs greatly;(6) continue It differs greatly to energy consumption and process that unit consumption differs greatly is analyzed, analyze difference hourly;(7) conclusion 2 is exported;Conclusion 2 include day unit consumption difference value, maximum three processes of daily variation, maximum three processes of unit consumption difference, energy consumption difference maximum, list Consume the difference maximum time.
7. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 3, special Sign is: the specific real time process flow of the history optimal value difference analysis system comprises the steps of: (1) selection pair first Than the condition of analysis, condition includes the energy consumption index title between timesharing;(2) intelligent optimization energy conserving system data are obtained, these numbers It also include the standard Value Data of specific targets according to comprising energy consumption data necessary to parameter value and creation data;History is most The long term data obtained when the figure of merit by intelligent optimization energy conserving system, when the optimal value and optimal value of programming count corresponding index pair The production core process parameter values answered;(3) comparison of corresponding index value is calculated according to Index Formula;(4) whether judge index value In the range of corresponding standard value regulation;(5) if index value in the normal range, prompts index value normal;If referred to Scale value is shown not in the normal range not in normal range;If the standard value of comparison is optimal value, existing finger is shown Corresponding core process parameter when the corresponding core process parameter of scale value and optimal value;Deviation adjusting is then provided for business administration Direction.
8. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 3, special Sign is: the specific implementation index of the equipment operating parameter difference analysis system comprises the steps of: (1) production line 1 It requires to be two different production lines using identical production technology and production like products with production line 2, to this two production lines Indices calculated;(2) difference of index is compared after calculating;(3) conclusion is exported;If comparison is normal, It exports production line index and compares normal conclusion, if abnormal, positioning is abnormal to that production link index, and output is not Normal position, abnormal index value conclusion.
9. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 4, special Sign is: the specific implementation process of the equipment operating parameter difference analysis system comprises the steps of: (1) setting analysis Equipment, vibration frequency, fluctuation range;(2) it obtains n real time data and judges whether fluctuation is abnormal;Judgment method is with latter A data subtract previous data, are then compared with the fluctuation range of obtained data and setting, if in real time by n In each data of the n-1 that data are subtracted each other, there are each data of m to have exceeded the fluctuation range of setting, then carrying out fluctuation abnormal alarm.
10. a kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature according to claim 5, special Sign is: the specific implementation process of the different production lines operation difference analysis system comprises the steps of: (1) number of devices According to including mean power, real-time current, operation trend;It is calculated automatically by the collected data of intelligent optimization energy conserving system;(2) Displaying is compared to these data and trend;(3) conclusion of output comparison.
CN201910147588.6A 2019-02-27 2019-02-27 Intelligent optimization energy-saving system combining differentiation characteristics of enterprise production line Active CN109902871B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910147588.6A CN109902871B (en) 2019-02-27 2019-02-27 Intelligent optimization energy-saving system combining differentiation characteristics of enterprise production line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910147588.6A CN109902871B (en) 2019-02-27 2019-02-27 Intelligent optimization energy-saving system combining differentiation characteristics of enterprise production line

Publications (2)

Publication Number Publication Date
CN109902871A true CN109902871A (en) 2019-06-18
CN109902871B CN109902871B (en) 2023-02-17

Family

ID=66945736

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910147588.6A Active CN109902871B (en) 2019-02-27 2019-02-27 Intelligent optimization energy-saving system combining differentiation characteristics of enterprise production line

Country Status (1)

Country Link
CN (1) CN109902871B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749473A (en) * 2020-09-14 2021-05-04 万洲电气股份有限公司 Energy efficiency safety diagnosis system based on real-time online analysis and simulated offline analysis
CN116258424A (en) * 2023-05-16 2023-06-13 宁德时代新能源科技股份有限公司 Product analysis method, battery product analysis method, device, equipment and medium
CN117093823A (en) * 2023-10-20 2023-11-21 国联江森自控绿色科技(无锡)有限公司 Factory energy consumption management method based on data analysis
CN117273402A (en) * 2023-11-21 2023-12-22 沭阳华新玻璃科技股份有限公司 Energy-saving management system and method for glass deep processing production line based on Internet of things technology

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103258256A (en) * 2013-04-12 2013-08-21 国家电网公司 Cable line condition monitoring multi-dimensional visual management platform
CN103559576A (en) * 2013-10-30 2014-02-05 广东工业大学 Energy management system
CN104992298A (en) * 2015-07-16 2015-10-21 南京朗坤软件有限公司 Energy management system
CN205103870U (en) * 2015-11-18 2016-03-23 北京中竞同创能源环境技术股份有限公司 Information -based management system of vegetable oil processing industry efficiency
CN105446299A (en) * 2015-12-18 2016-03-30 甘肃银光聚银化工有限公司 Data monitoring and cost accounting system
CN105956786A (en) * 2016-05-13 2016-09-21 河南心连心化肥有限公司 Energy management system used for fertilizer enterprise
CN106408192A (en) * 2016-09-23 2017-02-15 东北大学 Mineral processing equipment operating state monitoring system and method
CN107146004A (en) * 2017-04-20 2017-09-08 浙江大学 A kind of slag milling system health status identifying system and method based on data mining

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103258256A (en) * 2013-04-12 2013-08-21 国家电网公司 Cable line condition monitoring multi-dimensional visual management platform
CN103559576A (en) * 2013-10-30 2014-02-05 广东工业大学 Energy management system
CN104992298A (en) * 2015-07-16 2015-10-21 南京朗坤软件有限公司 Energy management system
CN205103870U (en) * 2015-11-18 2016-03-23 北京中竞同创能源环境技术股份有限公司 Information -based management system of vegetable oil processing industry efficiency
CN105446299A (en) * 2015-12-18 2016-03-30 甘肃银光聚银化工有限公司 Data monitoring and cost accounting system
CN105956786A (en) * 2016-05-13 2016-09-21 河南心连心化肥有限公司 Energy management system used for fertilizer enterprise
CN106408192A (en) * 2016-09-23 2017-02-15 东北大学 Mineral processing equipment operating state monitoring system and method
CN107146004A (en) * 2017-04-20 2017-09-08 浙江大学 A kind of slag milling system health status identifying system and method based on data mining

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749473A (en) * 2020-09-14 2021-05-04 万洲电气股份有限公司 Energy efficiency safety diagnosis system based on real-time online analysis and simulated offline analysis
CN112749473B (en) * 2020-09-14 2023-11-28 万洲电气股份有限公司 Energy efficiency safety diagnosis system based on real-time online analysis and simulated offline analysis
CN116258424A (en) * 2023-05-16 2023-06-13 宁德时代新能源科技股份有限公司 Product analysis method, battery product analysis method, device, equipment and medium
CN116258424B (en) * 2023-05-16 2023-09-29 宁德时代新能源科技股份有限公司 Product analysis method, battery product analysis method, device, equipment and medium
CN117093823A (en) * 2023-10-20 2023-11-21 国联江森自控绿色科技(无锡)有限公司 Factory energy consumption management method based on data analysis
CN117093823B (en) * 2023-10-20 2024-01-09 国联江森自控绿色科技(无锡)有限公司 Factory energy consumption management method based on data analysis
CN117273402A (en) * 2023-11-21 2023-12-22 沭阳华新玻璃科技股份有限公司 Energy-saving management system and method for glass deep processing production line based on Internet of things technology
CN117273402B (en) * 2023-11-21 2024-02-13 沭阳华新玻璃科技股份有限公司 Energy-saving management system and method for glass deep processing production line based on Internet of Things technology

Also Published As

Publication number Publication date
CN109902871B (en) 2023-02-17

Similar Documents

Publication Publication Date Title
CN109902871A (en) A kind of intelligent optimization energy conserving system of combination enterprise production line differentiation feature
CN105467953A (en) Knowledge representation facing industrial big data and automation application method thereof
CN113450065A (en) Production operation management system and method for wind power plant
CN110161999A (en) Coking intelligent manufacturing system based on big data
CN108964269A (en) Power distribution network O&M and total management system
CN110247474B (en) Statistical summary method and system based on D5000 system power grid operation state
CN112000075A (en) Dry quenching optimization control method and system
CN102566546B (en) Alarm statistic and aided scheduling system of process data
CN111476390A (en) Wisdom energy supervision service system
CN114418303A (en) Intelligent energy management system and method for refining and chemical integration enterprise
US20190041810A1 (en) Fuzzy energy saving control method for manufacturing system based on real-time production data
CN104391479B (en) Automatic statistic method of machine tool working condition based on main shaft power monitoring and system thereof
CN116223000B (en) Intelligent online automatic detection system for machine faults
CN117696224A (en) Ore grinding optimizing treatment system based on large model
CN112445169A (en) Energy power equipment management system and method based on industrial Internet of things cloud platform
CN112286148A (en) Intelligent factory system based on Internet of things technology and digital management technology
Tian et al. Intelligent diagnosis of equipment health based on IOT and operation large data analysis
CN102231081B (en) Energy utilization state diagnosis method for process industrial equipment
CN109245109A (en) A kind of power supply low-voltage early warning system and method
CN115425749A (en) Intelligent monitoring disc and fault early warning system for intelligent power plant
CN105989446A (en) Data recognition method and system
CN114742146A (en) Medium-voltage uninterruptible power device monitoring system
CN107958575A (en) A kind of power plant's operating parameter real-time alarm system
CN113837608A (en) Tobacco throwing management and control and early warning platform based on big data analysis
CN102830659B (en) Blast furnace data filtering method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: An intelligent optimization energy-saving system that combines the differentiated characteristics of enterprise production lines

Granted publication date: 20230217

Pledgee: Bank of China Limited Xiangyang Branch

Pledgor: WORLDWIDE ELECTRIC STOCK CO.,LTD.

Registration number: Y2024980020446