CN106384004A - Method for evaluating power consumption of compound fertilizer production equipment - Google Patents
Method for evaluating power consumption of compound fertilizer production equipment Download PDFInfo
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- CN106384004A CN106384004A CN201610841720.XA CN201610841720A CN106384004A CN 106384004 A CN106384004 A CN 106384004A CN 201610841720 A CN201610841720 A CN 201610841720A CN 106384004 A CN106384004 A CN 106384004A
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Abstract
The invention relates to a method for evaluating power consumption of compound fertilizer production equipment. The method is characterized by comprising the following steps of: (1) determining an internal controllable factor X and multiple external uncontrollable factors Y which influence the power consumption according to a power consumption index mechanism model; (2) acquiring a production data state space which represents related power consumption, and a corresponding power consumption value; (3) acquiring a power consumption reference value under each of the external uncontrollable factors Y and a production parameter corresponding to the power consumption reference value by use of a clustering algorithm; (4) carrying out fitted regression to acquire the power consumption index mechanism model; and (5) acquiring actually measured power consumption of the compound fertilizer production equipment under the actual external uncontrollable factors and the power consumption reference value in a power consumption reference value curve, and comparing and evaluating the actually measured power consumption and the power consumption reference value. Compared with the prior art, the method has the advantages that production data are considered, the model is real and complete and the guiding significance is provided.
Description
Technical field
The present invention relates to fertilizer production power consumption control field, especially relate to a kind of compound fertilizer producing equipment power consumption evaluation side
Method.
Background technology
The power consumption that granulating method composite fertilizer (slow controlled release) produces complete set of equipments generally there are multivariable, nonlinear feature,
The parameter of impact is more, such as product proportioning, product design, production capacity and distribution etc., and in the calculating process of power consumption, Typical physical is built
Typically need to do some during mould it is assumed that difficulty is solved with simplified model, therefore also reduce the accuracy of model it is impossible to react completely
Actual characteristic.
Substantial amounts of technique productions initial data is stored, these produce under field conditions (factors), not in energy managing and control system
Through any hypothesis, simplification, " live data " with cause and effect contact contains valuable information in a large number, existing energy source capsule
When obtaining the power consumption characteristic model that composite fertilizer's (slow controlled release) produces complete set of equipments, these data are only to store to control system at present
Backup is without carrying out effectively utilizes.
Content of the invention
The purpose of the present invention be exactly provide to overcome the defect that above-mentioned prior art exists a kind of consider creation data,
Model is truly complete, have the compound fertilizer producing equipment power consumption evaluation method of directive significance.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of compound fertilizer producing equipment power consumption evaluation method, the method comprises the following steps：
1) inside controllable factor X of impact power consumption and multiple outside uncontrollable factor are determined according to indicator of power consumption mechanism model
Y, described inside controllable factor X is manufacturing parameter, including the production capacity distribution of composite fertilizer's concentration A, composite fertilizer's proportioning B and composite fertilizer
C, described outside uncontrollable factor Y includes equipment depreciation, machine utilization and/or environment temperature；
2) using internal controllable factor X with outside uncontrollable factor Y as the creation data state space characterizing about power consumption
{ X (A, B, C), Y }, and obtain power consumption value { E } corresponding with production status space；
3) according to the power consumption a reference value under every kind of outside uncontrollable factor Y using clustering algorithm acquisition；
4) with root-mean-square error and minimum principle, to the power consumption a reference value under every kind of outside uncontrollable factor and correspondence
Manufacturing parameter be fitted return, obtain matched curve be indicator of power consumption mechanism model E0=f (Y | { X=X0(A01,B02,
C03)), wherein, E0For the power consumption a reference value after matching, X0(A01,B02,C03) it is the corresponding manufacturing parameter of power consumption a reference value；
5) obtain in the actual measurement power consumption of actual outside uncontrollable factor compound fertilizer production equipment and indicator of power consumption mechanism
Power consumption a reference value in model, if actual measurement power consumption is higher than power consumption a reference value, judges that this manufacturing parameter is not reaching to optimized parameter,
Need to carry out the adjustment of manufacturing parameter, if actual measurement power consumption is not higher than power consumption a reference value, judge that this manufacturing parameter reaches optimum, no
Manufacturing parameter need to be adjusted.
Described step 3) specifically include following steps：
31) manufacturing parameter under the uncontrollable factor of production to every kind of outside clusters；
32) set the minimum support of each class in cluster result；
33) the class power consumption numerical value meeting minimum support is ranked up, is obtained by weighted average and distribution probability
Power consumption a reference value under the uncontrollable factor of production in this kind of outside.
Described composite fertilizer's concentration A is nitrogen, phosphorus pentoxide, the summation of potassium oxide content, and composite fertilizer's concentration range exists
25%～30% is low concentration, and concentration range is middle concentration 30%～40%, and concentration range is high concentration 40%～57%.
Described composite fertilizer's proportioning B is nitrogen：Phosphorus pentoxide：The scope of potassium oxide, wherein nitrogen is 10%～28%, five oxygen
The scope changing two phosphorus is 0%～19%, and the scope of potassium oxide is 0%～19%.
Described fertilizer production capacity is distributed the product of the ratio that C is in yield and industry shared by this yield, the wherein model of yield
Enclose for 3～300,000 tons/year, the scope of the ratio in shared industry is 3%～60%.
In outside uncontrollable factor Y, equipment depreciation scope is 0%～90%, equipment produce load 0%～120%, ring
Border temperature range is -20 DEG C～50 DEG C.
Described step 5) in actual measurement power consumption be ton fertilizer power consumption Ed, its acquisition methods is：
After fertile production complete set of equipments to be composite drives to stablize, product volume m and the power consumption of composite fertilizer is produced in metering in 8 hours
Amount E8, ton fertilizer power consumption EdFor power consumption E8Ratio with product volume m.
The method is further comprising the steps of：
6) according to power consumption a reference value curve acquisition ton fertilizer power consumption figureofmerit, and the consumption to compound fertilizer industry according to index
Electricity is analyzed.
Described composite fertilizer includes sustained and controlled release composite fertilizer and granulating method method Common compound fertilizer.
Described composite fertilizer includes sustained and controlled release composite fertilizer and granulating method method Common compound fertilizer.
Compared with prior art, the present invention has advantages below：
The present invention pass through the power consumption data being gathered and its corresponding manufacturing parameter are analyzed, using cluster,
The data mining algorithms such as multiple regression carry out the reverse modeling of power consumption characteristic, obtain the power consumption benchmark producing under different external factor
Value, this reference value not power consumption minimum, but obtained by being directed to the factor such as different manufacturing parameters and production capacity distribution more
Preferably power consumption limit value, this value can be supplied to energy managing and control system, make production be in economical operation state, the present invention is fully sharp
With the data resource of energy managing and control system storage, avoided Typical physical be modeled as simplifying solution procedure and do some it is assumed that
The result obtaining can truly reflect the industry characteristics of product, the proposition of the restriction of the relevant production power consumption of industry is had very big
Meaning.
Brief description
Fig. 1 is granulating method Common compound fertilizer complete production unit power consumption frequency histogram and normal distribution.
Fig. 2 is sustained and controlled release composite fertilizer complete production unit power consumption frequency histogram and normal distribution.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
The present invention provides a kind of calculating and the optimization method of composite fertilizer (slow controlled release) production complete set of equipments power consumption power consumption, first
It is defined as below：
The power consumption model of composite heat transfer can be expressed as：E0=f (X (A, B, C), Y), wherein, Y is outside uncontrollable life
Product factor, one or more therein including Equipment Foundations factor, machine utilization, environment temperature etc., the internal controlled factor of production
X, respectively A represent that composite fertilizer's concentration, B represent that composite fertilizer's proportioning includes nitrogen B1, phosphorus pentoxide B2, potassium oxide B3, C represent multiple
Hefei production capacity and distribution.External production factor can not adjust, and there is not the space of optimization.The benchmark power consumption model of equipment can be determined
Justice is under conditions of outside uncontrollable factor of production Y is certain, by the calculating of each manufacturing parameter so that equipment energy consumption reaches
One group of set of the optimal limit value of industry, i.e. E0=f (Y | { X=X0(A01,B02,C03)), the not least value of this limit value, if actual measurement electricity
Consumption E value is higher than power consumption a reference value E0, then can be by the internal controlled factor of production of adjustment, i.e. each manufacturing parameter and then make E value reach
To under a reference value.
The present invention can be realized based on hardware system, and this hardware system must include but is not limited to the data acquisition system of basic unit
System (SCADA), real-time data base, historical data base, application server, client, Network Security Device and connect each meter
Calculation machine, controller (PLC etc.), the whole network of sensor.Its function is summarized as follows respectively：
Data collecting system (SCADA) is used for realizing Real-time Collection and the on-site supervision of power consumption data, the data of collection
It is saved in real-time data base；
Real-time data base is used for the manufacturing parameter come in real-time storage data acquisition system, is the reverse of power consumption characteristic
The on-line analysis of modeling and energy consumption provides data to support；
Historical data base (Oracle) is used for parameter and power consumption data E { X (A, B, C), Y } of product；
Application server by the communication with database and client, realize the reverse modeling of complex fertilizer product production with
And control optimization；
Network Security Device is mainly responsible for one-way isolation and the antivirus protection of network；
Client provides human-computer interaction interface, shows modeling result in an optimized fashion.
Optimization method of the present invention mainly passes through following Implement of Function Module：1st, history data store, extraction
Module；2nd, data preprocessing module；3rd, the reverse MBM of power consumption characteristic；4th, parameter on-line optimization module.Concrete scheme includes：
(1) set up the mechanism model of indicator of power consumption, determine outside uncontrollable factor of production Y and internal controlled factor of production A,
B, C, using history data store, extraction module, the data space { E, X (A, B, C), Y } of one-to-one manufacturing parameter are deposited
Store up in Oracle relational database；
(2) history data store, extraction module are read to relational database, extract modeling desired data, pass
Deliver to data preprocessing module, data preprocessing module is processed to initial data, carry out mean value replacement including to null value
Or the process rejected, process that abnormal data is rejected etc., the data after process is sent to energy consumption characteristics and reversely models mould
Block；
(3) the reverse MBM of power consumption characteristic, using the data after processing, calls the algorithm in modeling algorithm storehouse to carry out electricity
The reverse modeling of consumption characteristic, its step is as follows：
Step one, the data processing is classified by external factor, to form outside uncontrollable factor of production Y of difference
Under data mode space { X (A, B, C) }；
Step 2, the data in each state space { X (A, B, C) } is analyzed, using in basic algorithm storehouse
Cluster, statistics scheduling algorithm, obtain power consumption a reference value E in each state space0；
Step 3, to energy consumption a reference value E extracting under each external factor Y0And corresponding parameter { X0(A01,B02,
C03), carry out model extraction using the multiple regression in algorithms library or neutral net scheduling algorithm, obtain the power consumption base of each equipment
Quasi- value model：E0=f (Y | { X=X0(A01,B02,C03)})；
Step 4, the accuracy of checking extraction model, the assessment parameter of output model：Mean square error MSE, mean square are by mistake
Difference ASE etc., such as model accuracy does not reach requirement, then handoff algorithms model；
(4) reversely MBM obtains power consumption characteristic a reference value model and manufacturing parameter correspondingly, pass to
Parameter on-line optimization module instructs the economical operation of equipment：By the data of external factor Y of Real-time Collection equipment it may be determined that being somebody's turn to do
Optimal power consumption limit value under factor, control system limit value according to this, that enters line parameter adjusts the optimization thus being produced.
Taking common parameter in composite fertilizer's (slow controlled release) production process as a example, a kind of specific embodiment party of the present invention is described
Formula.Power consumption a reference value can be expressed as：E0=f (Y, F × R, N/P/K, Q × R).
In formula：F is fertilizer total concentration (%), and wherein 30%≤F ＜ 40% is middle concentration, F >=40% for high concentration, R
Ratio shared by this concentration composite fertilizer, this parameter used is the product of fertilizer total concentration and ratio；
N, P, K represent nitrogen content in proportioning, phosphorus pentoxide content and potassium oxide content respectively, are in composite fertilizer characterizes
The important parameter holding；
The production capacity of Q representative products, R represents the distribution proportion of this production capacity, and this parameter used is production capacity and distribution proportion
Product；
Y is outside uncontrollable factor, one or many therein including machine utilization, Equipment Foundations factor, environment temperature etc.
?.
Concrete production capacity and distribution situation see below：
Embodiment：
Variable concentrations composite fertilizer (slow controlled release) distribution proportion
Granulating method composite fertilizer (slow controlled release) production capacity and distribution
| Granulating method composite fertilizer production capacity (t/h) | 3 | 5 | 10 | 20 | 30 |
| Industry occupies ratio (%) | 7 | 15 | 60 | 15 | 3 |
Granulating method composite fertilizer (slow controlled release) portioned product manufacturing parameter and power consumption list
Ton fertilizer power consumption consumption a reference value/(KW h/t)
The ton fertilizer power consumption figureofmerit of composite fertilizer's (slow controlled release) complete set of equipments, foundation has representative in compound fertilizer industry
Property the data statistics of business survey gained and thousand rotary drum composite fertilizers existing to China of related chemical fertilizer engineering consulting designing unit
The investigational data of process units, data is brought into computational methods E of power consumption a reference value0=f (Y, F × R, N/P/K, Q × R), institute
The result obtaining is：
Ton fertilizer power consumption consumption a reference value E0=27.8953 (KW h/t) of compound fertilizer complete set of equipments
Ton fertilizer power consumption consumption a reference value E0=28.9824 (KW h/t) of sustained-controll-release fertiliser complete set of equipments
Bound fraction fertilizer enterprise surveys the power consumption state distribution of power consumption data and the actual measurement of above-mentioned enterprise, and result is as follows：
Part fertilizer enterprise's manufacturing parameter and actual measurement power consumption value analysis
According to composite fertilizer's production capacity distribution, the final power consumption a reference value calculating gained covers the actual measurement power consumption of 70% producer
Value, therefore this reference value can embody the overall energy consumption level of industry can urge on again promotion fall behind high energy consumption enterprise actively progressive,
Finally eliminate high energy consumption complete set of equipments to produce and using priciple, be computed, collect and overall merit, determine that indicator of power consumption is as follows：
The ton fertilizer power consumption 28 (KW h/t) of compound fertilizer complete set of equipments, its power consumption frequency histogram is divided with normal state
Butut is as shown in Figure 1.
Granulating method Common compound fertilizer complete set of equipments power consumption data is processed, by histogram is set up to data, passes through
Chart, in 27.45～29.04kWh/t interval, accumulative sample number reaches 65.05～73.02%, and normal distribution curve reaches
Maximum, it is thus determined that index is 28kWh/t.
Ton fertilizer power consumption 29 (KW h/t), its power consumption frequency histogram and the normal state of sustained-controll-release fertiliser complete set of equipments
Distribution map is as shown in Figure 2.
Sustained and controlled release composite fertilizer complete set of equipments power consumption data is processed, by histogram is set up to data, by chart,
In 28.96～29.55kWh/t interval, accumulative sample number reaches 66.67～75.00%, and normal distribution curve reaches maximum
Value, it is thus determined that index is 29kWh/t.
Claims (9)
1. a kind of compound fertilizer producing equipment power consumption evaluation method is it is characterised in that the method comprises the following steps：
1) inside controllable factor X of impact power consumption and multiple outside uncontrollable factor Y, institute are determined according to indicator of power consumption mechanism model
Inside controllable factor X stated is manufacturing parameter, and the production capacity including composite fertilizer's concentration A, composite fertilizer's proportioning B and composite fertilizer is distributed C, institute
The outside uncontrollable factor Y stating includes equipment depreciation, machine utilization and/or environment temperature；
2) using internal controllable factor X and outside uncontrollable factor Y as characterize about power consumption creation data state space X (A,
B, C), Y }, and obtain power consumption value corresponding with production status space；
3) according to the power consumption a reference value under every kind of outside uncontrollable factor Y using clustering algorithm acquisition；
4) with root-mean-square error and minimum principle, to the power consumption a reference value under every kind of outside uncontrollable factor and corresponding life
Produce parameter to be fitted returning, obtain indicator of power consumption mechanism model；
5) obtain in the actual measurement power consumption of actual outside uncontrollable factor compound fertilizer production equipment and indicator of power consumption mechanism model
In power consumption a reference value, if actual measurement power consumption be higher than power consumption a reference value, judge that this manufacturing parameter is not reaching to optimized parameter, need
Carry out the adjustment of manufacturing parameter, if actual measurement power consumption is not higher than power consumption a reference value, judges that this manufacturing parameter reaches optimum, need not adjust
Whole manufacturing parameter.
2. a kind of compound fertilizer producing equipment power consumption evaluation method according to claim 1 is it is characterised in that described step
3) following steps are specifically included：
31) manufacturing parameter under the uncontrollable factor of production to every kind of outside clusters；
32) set the minimum support of each class in cluster result；
33) the class power consumption numerical value meeting minimum support is ranked up, is somebody's turn to do by weighted average and distribution probability
Plant the power consumption a reference value under the outside uncontrollable factor of production.
3. a kind of evaluation method of compound fertilizer producing equipment power consumption according to claim 1 is it is characterised in that described answers
Hefei concentration A is nitrogen, phosphorus pentoxide, the summation of potassium oxide content, and composite fertilizer's concentration range is low concentration 25%～30%,
Concentration range is middle concentration 30%～40%, and concentration range is high concentration 40%～57%.
4. a kind of evaluation method of compound fertilizer producing equipment power consumption according to claim 1 is it is characterised in that described answers
Hefei proportioning B is nitrogen：Phosphorus pentoxide：The scope of potassium oxide, wherein nitrogen is 10%～28%, and the scope of phosphorus pentoxide is
0%～19%, the scope of potassium oxide is 0%～19%.
5. a kind of evaluation method of compound fertilizer producing equipment power consumption according to claim 1 is it is characterised in that described fertilizer
Material production capacity is distributed the product of the ratio that C is in yield and industry shared by this yield, and the wherein scope of yield is 3～300,000 tons/year,
The scope of the ratio in shared industry is 3%～60%.
6. a kind of evaluation method of compound fertilizer producing equipment power consumption according to claim 1 is not it is characterised in that in outside
In controllable factor Y, equipment depreciation scope is 0%～90%, equipment produce load 0%～120%, and ambient temperature range is -20
DEG C～50 DEG C.
7. a kind of compound fertilizer producing equipment power consumption evaluation method according to claim 1 is it is characterised in that described step
5) in, actual measurement power consumption is ton fertilizer power consumption Ed, its acquisition methods is：
After fertile production complete set of equipments to be composite drives to stablize, the product volume m and power consumption E of composite fertilizer is produced in metering in 8 hours8,
Ton fertilizer power consumption EdFor power consumption E8Ratio with product volume m.
8. a kind of compound fertilizer producing equipment power consumption evaluation method according to claim 1 is it is characterised in that the method is also wrapped
Include following steps：
6) according to power consumption a reference value curve acquisition ton fertilizer power consumption figureofmerit, and the power consumption to compound fertilizer industry according to index
It is analyzed.
9. a kind of compound fertilizer producing equipment power consumption evaluation method according to claim 1 is it is characterised in that described is compound
Fertile inclusion sustained and controlled release composite fertilizer and granulating method Common compound fertilizer.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113919205A (en) * | 2020-07-07 | 2022-01-11 | 中国石油天然气股份有限公司 | Energy consumption evaluation method and energy consumption optimization method and device for natural gas desulfurization device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005015476A2 (en) * | 2003-08-07 | 2005-02-17 | Hsb Solomon Associates, Llc | System and method for determining equivalency factors for use in comparative performance analysis of industrial facilities |
| CN102809928A (en) * | 2012-08-10 | 2012-12-05 | 南京南瑞继保电气有限公司 | Control optimizing method for energy consumption of thermal equipment of industrial enterprise |
| CN103761616A (en) * | 2014-01-22 | 2014-04-30 | 东华大学 | Method for distributing product power consumption based on device power and operation time |
-
2016
- 2016-09-22 CN CN201610841720.XA patent/CN106384004A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005015476A2 (en) * | 2003-08-07 | 2005-02-17 | Hsb Solomon Associates, Llc | System and method for determining equivalency factors for use in comparative performance analysis of industrial facilities |
| CN102809928A (en) * | 2012-08-10 | 2012-12-05 | 南京南瑞继保电气有限公司 | Control optimizing method for energy consumption of thermal equipment of industrial enterprise |
| CN103761616A (en) * | 2014-01-22 | 2014-04-30 | 东华大学 | Method for distributing product power consumption based on device power and operation time |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113919205A (en) * | 2020-07-07 | 2022-01-11 | 中国石油天然气股份有限公司 | Energy consumption evaluation method and energy consumption optimization method and device for natural gas desulfurization device |
| CN113919205B (en) * | 2020-07-07 | 2022-11-01 | 中国石油天然气股份有限公司 | Energy consumption evaluation method and energy consumption optimization method and device for natural gas desulfurization device |
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