CN106477273B - Ribbon conveyer energy consumption Forecasting Methodology based on support vector machines - Google Patents
Ribbon conveyer energy consumption Forecasting Methodology based on support vector machines Download PDFInfo
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- CN106477273B CN106477273B CN201610902166.1A CN201610902166A CN106477273B CN 106477273 B CN106477273 B CN 106477273B CN 201610902166 A CN201610902166 A CN 201610902166A CN 106477273 B CN106477273 B CN 106477273B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/042—Sensors
- B65G2203/044—Optical
Abstract
The invention discloses a kind of ribbon conveyer energy consumption Forecasting Methodology based on support vector machines, off-line training sample collection, online energy consumption monitoring are first carried out.Monitoring system includes three and is respectively placed in driving drum central shaft, is close to conveyer belt, the photoelectric encoder at changed course roll center axis and material stream mode laser reading devices below conveyer interlude；Three photoelectric encoders and material stream mode laser reading devices are connect with signal processing and characteristic extracting module, and signal processing and characteristic extracting module are connected with the regression fit prediction module based on support vector machines.The present invention is only with three photoelectric encoders, material stream feed status laser reading devices, you can realizes ribbon conveyer energy consumption on-line monitoring, avoids the problems such as existing energy-consumption monitoring system is of high cost, and existing energy consumption monitoring means are cumbersome and lack practicability.
Description
The application is application number：201510295101.0, the applying date：2015.6.2, " ribbon conveyer efficiency is online for title
The divisional application of monitoring method and monitoring system ".
Technical field
The present invention relates to a kind of ribbon conveyer efficiency on-line monitoring method and on-line monitoring systems.
Background technology
Ribbon conveyer is contemporary Bulk material and load and unload most efficient equipment, be widely used in coal, ore, cement and
The bulk cargo terminals such as grain.
According to statistics, 5,000,000, existing ribbon conveyer in China or more, wherein for bulk cargo terminals more than 30,000.At present
The performance requirement of ribbon conveyer is often confined to distance, speed, freight volume, power etc., is paid the utmost attention to when matching motor
Equipment maximum load, overload capacity and reliability, project plan comparison are guarded, and there are larger allowances for selected device.Therefore, belt conveying
The raising of engine efficiency, it is very great to bulk cargo terminals energy-saving and emission-reduction meaning.
As belt conveyor system develops to long range, high belt speed, large conveying quantity, energy conservation potential is huge.For this purpose, traffic
Portion《" 12th Five-Year Plan " water transport energy-saving and emission-reduction totally promote embodiment》([2011] No. 474 files) proposition wants emphasis to research and develop and promote
Ribbon conveyer saving-energy operation control technology." frequency control belt conveyor system efficiency test and amount of energy saving computational methods " state
The appearance of family's standard is, it is specified that frequency control belt conveyor system efficiency test field condition, project and gage requirement, test
The method that method, the computational methods of running efficiency of system, variable speed energy saving and the principle of amount of energy saving calculating, amount of energy saving calculate, for me
State's ribbon conveyer saving-energy operation control technology is applied provides foundation with popularization, also indicates China's belt conveyor system energy
Consumption statistics and the beginning of efficiency on-line monitoring work.Ribbon conveyer energy consumption on-line monitoring system construction on May 26th, 2014 will
Formally 2014-2015 energy-saving and emission-reduction low carbon development action schemes are included in, and taken up to implement.
Ribbon conveyer complicated in mechanical structure, during bulk cargo loads and unloads production run, efficiency is easily instantaneously flowed by material
The effect of multiple parameters such as amount, belt speed, operating mode.Such as when conveyer belt freight volume changes (material is uneven, interrupted), permanent rotating speed operation
Mode makes system " low load with strong power " phenomenon occur；Voltage fluctuation can be generated in ribbon conveyer driving motor start-up course；
Driving drum and conveying interband generate Relative sliding；Diameter of cylinder difference, roller and conveying interband friction coefficient enclose cornerite change
Multiple motors speed is asynchronous caused by change, fluctuation of supply voltage etc.；In addition, the inertial equipments such as carrying roller, conveyer belt are put down
Power, machinery driving efficiency, voltage drop needed for steady operation are on motor power (output) influence and multiple drive power unbalanced power to electronic
Influence of engine efficiency etc. can all cause ribbon conveyer, and energy consumption and efficiency are difficult to accurate statistics in practical applications.These influence ginseng
Number can generally cause the loss of electric machine and belt tension and tightening force to increase, so as to reduce belt conveyor system efficiency, increase
System energy consumption.Therefore, between various affecting parameters and the variation of ribbon conveyer energy valid value（It reduces, raising）There are causalities, dig
Changing rule between various affecting parameters and efficiency variation is dug, the true power consumption mathematical model of ribbon conveyer is established, energy consumption can be used as
The foundation of monitoring.For enterprise's energy efficiency management, highly energy-consuming equipment is eliminated and replaced in time, targetedly realizes ribbon conveyer most
Excellent speed regulating control is of great significance.
The effective power that frequency control ribbon conveyer operational efficiency is defined as the output of ribbon conveyer end is opened with power supply
Close the percentage of the effective power of output terminal.It is used in the ribbon conveyer efficiency detection system of other mechanisms such as quality testing department now
System, using JT/T 326-2009《Harbour ribbon conveyer efficiency of energy utilization detection method》And JB/T 11704-2013《Become
Frequency modulation speed belt conveyor system efficiency test and amount of energy saving computational methods》Test method structure in relation to ribbon conveyer in national standard
Test system is built, the measured parameters such as voltage, electric current, power factor (PF), rotating speed, power and electric energy under same operating need to be measured simultaneously
1 hour or more.And existing detection needs that the duplicate measurements of same operating point interval is three times under frequency control to ribbon conveyer（Often
Secondary measurement interval 10min ~ 15min）Afterwards, to measure average value as running efficiency of system, therefore existing equipment is caused to be not suitable for
Efficiency on-line monitoring is carried out in Application enterprise, existing efficiency detection means is less suitable for becoming for ribbon conveyer
Frequency modulation speed implements optimum control decision.
With the propulsion of energy-saving and emission-reduction fundamental state policy, efficiency caused by the variation of ribbon conveyer various duty parameters reduce and
Energy consumption increase need to cause the attention of each Application enterprise.With ribbon conveyer Frequency Conversion and Speed Regulation Technique application,
With greater need for being equipped with for each ribbon conveyer, monitoring accuracy is high, data collection capacity is big, visual strong efficiency monitors dress on-line
It puts, realizes and promptly and accurately implement to the monitoring in real time for a long time of ribbon conveyer efficiency, according to material instantaneous delivery variation on conveyer belt
Belt speed optimum control decision, for enterprise's energy efficiency management, timely update and be transformed highly energy-consuming equipment, promote ribbon conveyer it is energy saving
Control running technology is of great significance.
Invention content
It is conducive to enterprise's energy efficiency management the purpose of the present invention is to provide one kind, timely updates and highly energy-consuming equipment is transformed, pushes away
The ribbon conveyer efficiency on-line monitoring method of wide ribbon conveyer Energy Saving Control running technology and monitoring system.
The present invention technical solution be：
A kind of ribbon conveyer efficiency on-line monitoring method, it is characterized in that：Include the following steps：
（1）Off-line training sample collection is carried out first：
1）Off-line training sample acquisition system is built
Energy consumption testing system is built, using including high-precision power instrument, dynamic torque sensor, speed probe, material
The sensing detection module of stream mode laser reading devices, detection belt conveyor system input power, output mechanical power, motor
Rotating speed, material instantaneous delivery, it is final to obtain belt conveyor system efficiency, so as to learn ribbon conveyer energy consumption size and efficiency
Than；
Using three photoelectric encoders, be respectively placed in driving drum central shaft, be close to below conveyer interlude conveyer belt,
It alters course at roll center axis, obtains the conveyer tape speed signal of three test points, starting, making by acquiring ribbon conveyer
It is dynamic, at the uniform velocity, speed change when three position belt speed variation tracks, the whole ribbon conveyer of synchronization is gone out using function interpolation calculation
Conveyer tape speed changing rule；
2）Training sample obtains offline when ribbon conveyer is without material
Feature extraction is carried out using " signal processing and feature extraction " module, is measured by low speed, middling speed and repeatedly at a high speed,
The feature samples of input power, output mechanical power and motor speed when obtaining multigroup no material under three kinds of belt speed respectively；By nothing
The feature samples under three kinds of belt speed during material correspond to power consumption values and are defined as " belt conveyor system energy consumption "；
3）Training sample obtains offline when ribbon conveyer has material
Respectively in low speed, middling speed and artificial feeding under three kinds of belt speed at a high speed, manufacturing material is evenly distributed and non-uniform more
Kind load cases combination acquires material instantaneous delivery and material flow distribution status data using material stream mode laser reading devices, adopts
Feature extraction is carried out with " signal processing and feature extraction " module, each operating mode is taken multiple measurements, obtains each work
The feature samples such as input power, output mechanical power, motor speed, material instantaneous delivery and material flow distribution state under condition；It will
Power consumption values in the case of different operating modes are subtracted each other to belt conveyor system power consumption values under corresponding belt speed during no material situation, difference
It can be combined with corresponding feature samples, obtain belt conveyor system energy consumption and input power, output mechanical power, electricity
Machine rotating speed, material instantaneous delivery and material flow distribution state correspond to table；
（2）Online energy consumption monitoring
It is defeated using being close to below three photoelectric encoders detection driving drum of belt conveyor central shafts, conveyer interlude
It send band, conveyer tape speed value at the roll center axis that alters course, material instantaneous delivery is detected using material stream mode laser reading devices
With material flow distribution state, feature extraction is carried out to signal using " signal processing and feature extraction " module, obtains tested sample；
High-dimensional feature space is constructed using the training sample that " the offline acquisition module of energy consumption detection training sample " obtains, establishes higher-dimension spy
Levy the linear regression function in space；Ribbon conveyer system is obtained using " the regression fit prediction module based on support vector machines "
Energy consumption predicted value in system operational process, and exported using belt conveyor system on-line monitoring energy consumption as support vector machines network.
The specific method that training sample obtains offline when ribbon conveyer is without material is：
Driving drum central shaft will not be placed in without the material time-division, conveyer belt is close in conveyer interlude lower section, changed course rolls
Central axis three photoelectric encoders output belt speed signal carry out denoising, by acquire ribbon conveyer start, braking,
At the uniform velocity, three position belt speed variation tracks during speed change, analysis conveyer belt are starting, are braking, correlation at the uniform velocity, under speed change, adopting
Go out the whole belt of belt conveyor belt speed changing rule of synchronization with function interpolation calculation, it is defeated to extract no material lower band formula
Send machine conveyer tape speed variation characteristic vectorial；
When ribbon conveyer is run without material, ribbon conveyer input power is acquired using high-precision power instrument, dynamic is turned round
Square sensor and speed probe measure ribbon conveyer output mechanical power, by synchronization ribbon conveyer input power with
Output mechanical power subtracts each other, and just obtains " belt conveyor system energy consumption ", extraction ribbon conveyer start, braking, at the uniform velocity, become
The lower belt conveyor system energy consumption of speed, and the feature vector obtained with belt speed sensor is combined, and obtains ribbon conveyer without material
Sample during operation；Using the above method, take multiple measurements, when obtaining multigroup no material operation belt conveyor system energy consumption with
Belt speed feature vector sample.
A kind of ribbon conveyer efficiency on-line monitoring system, it is characterized in that：Driving drum center is respectively placed in including three
Axis is close to conveyer belt, the photoelectric encoder at changed course roll center axis and material stream mode laser below conveyer interlude
Harvester；Three photoelectric encoders and material stream mode laser reading devices are connect with signal processing and characteristic extracting module,
Signal processing and characteristic extracting module are connected with the regression fit prediction module based on support vector machines.
The present invention proposes to supervise online based on the ribbon conveyer energy consumption that belt speed signal and material stream feed status signal are analyzed
Survey method.It is a large amount of that this method need to only obtain belt speed, material stream feed status, belt conveyor system power consumption etc. in off-line case
After training sample, the pass between ribbon conveyer energy consumption and conveyer tape speed, material instantaneous delivery, material flow distribution state is obtained
System.Later in the application without additionally installing ribbon conveyer power consumption harvester additional, using three photoelectric encoder detection conveyings
Belt speed value of the band at driving drum central shaft, conveyer interlude, changed course roll center axis, is gone out using function interpolation calculation
The whole belt of belt conveyor belt speed changing rule of synchronization extracts no material lower band formula conveyer belt speed variation
The features such as feature vector, material instantaneous delivery, the material flow distribution state obtained in conjunction with material stream mode laser detector
Parameter is predicted to obtain ribbon conveyer power consumption predicted value by the regression fit based on support vector machines.
The present invention provides a kind of novel ribbon conveyer energy consumption on-line monitoring system, only with three photoelectric codings
Device, material stream feed status laser reading devices, you can realize ribbon conveyer energy consumption on-line monitoring, avoid existing energy consumption prison
The problems such as examining system is of high cost, and existing energy consumption monitoring means are cumbersome and lack practicability, is advantageously implemented to ribbon conveyer
Efficiency monitoring in real time for a long time promptly and accurately implements belt speed optimum control decision according to material instantaneous delivery variation on conveyer belt, right
In enterprise's energy efficiency management, timely update and highly energy-consuming equipment is transformed, promotes ribbon conveyer Energy Saving Control running technology there is weight
Want meaning.
Description of the drawings
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the ribbon conveyer energy consumption on-line monitoring system structure chart of the present invention.Wherein there are photoelectric encoder, material stream
State laser reading devices, the offline acquisition module of energy consumption detection training sample, signal processing and characteristic extracting module, belt are defeated
Function is sent to consume on-line prediction module." signal processing and characteristic extracting module " includes denoising, the fitting of function interpolation, the conveying of material stream
State feature extraction（Material instantaneous delivery, material flow distribution, material stream total flow）." ribbon conveyer energy consumption on-line prediction mould
Block " realizes ribbon conveyer energy consumption on-line monitoring by the regression fit Forecasting Methodology based on support vector machines.
Fig. 2 is the ribbon conveyer of the present invention without material and training sample offline acquisition methods schematic diagram when having material.
Fig. 3 is the experimental method schematic diagram that ribbon conveyer obtains offline without material with training sample when having material.
Fig. 4 is the schematic layout pattern of sensor.Three photoelectric encoders are respectively placed in driving drum central shaft, conveyer
Between be close to conveyer belt below section, at changed course roll center axis, material stream mode laser reading devices are positioned over conveyer interlude
（Laser scanner is directed at material vertically downward, makes material circulating direction perpendicular through laser scanning covering of the fan）.Dynamic torque senses
Device and speed probe coaxially couple with ribbon conveyer driving motor.High-precision power instrument is used to detect ribbon conveyer system
System input power.
Fig. 5 is the regression fit prediction process schematic based on support vector machines.
Specific embodiment
A kind of ribbon conveyer efficiency on-line monitoring method, includes the following steps：
（1）Off-line training sample collection is carried out first：
1）Off-line training sample acquisition system is built
According to JT/T 326-2009《Harbour ribbon conveyer efficiency of energy utilization detection method》And JB/T 11704-
2013《Frequency control belt conveyor system efficiency test and amount of energy saving computational methods》National standard, structure energy consumption testing system
System, using including high-precision power instrument, dynamic torque sensor, speed probe, material stream mode laser reading devices 2 biography
Feel detection module, detect belt conveyor system input power, output mechanical power, motor speed, material instantaneous delivery, finally
Belt conveyor system efficiency is obtained, so as to learn ribbon conveyer energy consumption size and Energy Efficiency Ratio；
According to layout type shown in Fig. 4, using three photoelectric encoders, it is respectively placed in driving drum central shaft, conveyer
It is close to conveyer belt below interlude, at the roll center axis that alters course, obtains the conveyer tape speed signal of three test points, pass through acquisition
Ribbon conveyer start, braking, at the uniform velocity, speed change when three position belt speed variation tracks, gone out together using function interpolation calculation
One moment whole belt of belt conveyor belt speed changing rule；
2）Training sample obtains offline when ribbon conveyer is without material
Feature extraction is carried out using " signal processing and feature extraction " module, is measured by low speed, middling speed and repeatedly at a high speed,
The feature samples of input power, output mechanical power and motor speed when obtaining multigroup no material under three kinds of belt speed respectively；By nothing
The feature samples under three kinds of belt speed during material correspond to power consumption values and are defined as " belt conveyor system energy consumption "；
3）Training sample obtains offline when ribbon conveyer has material
The artificial feeding under three kinds of low speed, middling speed and high speed belt speed respectively, manufacturing material is evenly distributed and uneven grade is more
Kind load cases combination（Such as at the uniform velocity feeding, disposably accumulate feeding, 1 meter of equispaced accumulation feeding）, swashed using material stream mode
Optical acquisition device acquires material instantaneous delivery and material flow distribution status data, using " signal processing and feature extraction " module into
Row feature extraction takes multiple measurements each operating mode, obtains input power, output mechanical power, electricity under each operating mode
The feature samples such as machine rotating speed, material instantaneous delivery and material flow distribution state；By the power consumption values and empty in the case of different operating modes
Belt conveyor system power consumption values are subtracted each other under corresponding belt speed during material situation, and difference can carry out group with corresponding feature samples
It closes, obtains belt conveyor system energy consumption and input power, output mechanical power, motor speed, material instantaneous delivery and material
Flow distribution state corresponds to table；
（2）Online energy consumption monitoring
It is defeated using being close to below three photoelectric encoders detection driving drum of belt conveyor central shafts, conveyer interlude
It send band, conveyer tape speed value at the roll center axis that alters course, material instantaneous delivery is detected using material stream mode laser reading devices
With material flow distribution state, feature extraction is carried out to signal using " signal processing and feature extraction " module, obtains tested sample；
High-dimensional feature space is constructed using the training sample that " the offline acquisition module of energy consumption detection training sample " obtains, establishes higher-dimension spy
Levy the linear regression function in space；Ribbon conveyer system is obtained using " the regression fit prediction module based on support vector machines "
Energy consumption predicted value in system operational process, and exported using belt conveyor system on-line monitoring energy consumption as support vector machines network.
The specific method that training sample obtains offline when ribbon conveyer is without material is：
Driving drum central shaft will not be placed in without the material time-division, conveyer belt is close in conveyer interlude lower section, changed course rolls
Central axis three photoelectric encoders output belt speed signal carry out denoising, by acquire ribbon conveyer start, braking,
At the uniform velocity, three position belt speed variation tracks during speed change, analysis conveyer belt are starting, are braking, correlation at the uniform velocity, under speed change, adopting
Go out the whole belt of belt conveyor belt speed changing rule of synchronization with function interpolation calculation, it is defeated to extract no material lower band formula
Send machine conveyer tape speed variation characteristic vectorial；
When ribbon conveyer is run without material, ribbon conveyer input power is acquired using high-precision power instrument, dynamic is turned round
Square sensor and speed probe measure ribbon conveyer output mechanical power, by synchronization ribbon conveyer input power with
Output mechanical power subtracts each other, and just obtains " belt conveyor system energy consumption ", extraction ribbon conveyer start, braking, at the uniform velocity, become
The lower belt conveyor system energy consumption of speed, and the feature vector obtained with belt speed sensor is combined, and obtains ribbon conveyer without material
Sample during operation；Using the above method, take multiple measurements, when obtaining multigroup no material operation belt conveyor system energy consumption with
Belt speed feature vector sample.
Specifically in ribbon conveyer empty stream normal operation, put using material stream mode laser reading devices
It is placed in conveyer interlude（Laser scanner is directed at material vertically downward, and material circulating direction is made to be fanned perpendicular through laser scanning
Face）, acquire ribbon conveyer high-speed cruising lower conveyer belt laser point cloud, can extract on every frame laser covering of the fan scanning center with
Distance and angle between each collection point.To be carried out per frame laser point cloud data (x, y) coordinate conversion, every frame fan of laser light can be calculated
Face area, per frame laser covering of the fan area, laser covering of the fan center of gravity as characteristic parameter when extracting ribbon conveyer empty stream, and with
The belt speed feature vector that photoelectric encoder obtains combines, and measures by low speed, middling speed and repeatedly at a high speed, obtains three kinds of belt speed respectively
Under multigroup no material when the feature samples such as input power, output mechanical power and motor speed.Using the above method, carry out multiple
Test obtains multigroup " belt conveyor system energy consumption " training sample.
A kind of ribbon conveyer efficiency on-line monitoring system, it is characterized in that：Driving drum center is respectively placed in including three
Axis is close to conveyer belt, the photoelectric encoder at changed course roll center axis and material stream mode laser below conveyer interlude
Harvester；Three photoelectric encoders and material stream mode laser reading devices are connect with signal processing and characteristic extracting module,
Signal processing and characteristic extracting module are connected with the regression fit prediction module based on support vector machines.
Claims (1)
1. a kind of ribbon conveyer energy consumption Forecasting Methodology based on support vector machines, it is characterized in that：Include the following steps：
（1）Off-line training sample collection is carried out first：
1）Off-line training sample acquisition system is built
Energy consumption testing system is built, using including high-precision power instrument, dynamic torque sensor, speed probe, material stream shape
The sensing detection module of state laser reading devices, detection belt conveyor system input power, output mechanical power, motor turn
Speed, material instantaneous delivery, it is final to obtain belt conveyor system efficiency, so as to learn ribbon conveyer energy consumption size and Energy Efficiency Ratio；
Using three photoelectric encoders, it is respectively placed in driving drum central shaft, conveyer belt, changed course are close in conveyer interlude lower section
At roll center axis, the conveyer tape speed signal of three test points is obtained, starting, braking, even by acquiring ribbon conveyer
Three position belt speed variation tracks when speed, speed change go out the whole ribbon conveyer of synchronization using function interpolation calculation and convey
Band belt speed changing rule；
2）Training sample obtains offline when ribbon conveyer is without material
Feature extraction is carried out using " signal processing and feature extraction " module, is measured by low speed, middling speed and repeatedly at a high speed, respectively
The feature samples of input power, output mechanical power and motor speed when obtaining multigroup no material under three kinds of belt speed；It will be without material
When three kinds of belt speed under feature samples correspond to power consumption values and be defined as " belt conveyor system energy consumption "；
3）Training sample obtains offline when ribbon conveyer has material
The artificial feeding under three kinds of low speed, middling speed and high speed belt speed respectively, manufacturing material is evenly distributed and non-uniform a variety of works
Condition combines, and material instantaneous delivery and material flow distribution status data is acquired using material stream mode laser reading devices, using " letter
Number processing and feature extraction " module carry out feature extraction, each operating mode is taken multiple measurements, is obtained defeated under each operating mode
Enter power, output mechanical power, motor speed, material instantaneous delivery and material flow distribution state feature samples；By different operating modes
In the case of power consumption values subtract each other to belt conveyor system power consumption values under corresponding belt speed during no material situation, difference can with it is opposite
The feature samples answered are combined, obtain belt conveyor system energy consumption and input power, output mechanical power, motor speed,
Material instantaneous delivery and material flow distribution state correspond to table；
（2）Online energy consumption monitoring
Driving drum of belt conveyor central shaft is detected using three photoelectric encoders, conveyer interlude lower section is close to convey
Band, changed course roll center axis at conveyer tape speed value, using material stream mode laser reading devices detection material instantaneous delivery and
Material flow distribution state carries out feature extraction to signal using " signal processing and feature extraction " module, obtains tested sample；It adopts
High-dimensional feature space is constructed with the training sample that " the offline acquisition module of energy consumption detection training sample " obtains, establishes high dimensional feature
The linear regression function in space；Belt conveyor system is obtained using " the regression fit prediction module based on support vector machines "
Energy consumption predicted value in operational process, and exported using belt conveyor system on-line monitoring energy consumption as support vector machines network；
The specific method that training sample obtains offline when ribbon conveyer is without material is：
Driving drum central shaft will not be placed in without the material time-division, conveyer belt is close in conveyer interlude lower section, changed course roll center
The belt speed signal of three photoelectric encoders output at axis carries out denoising, is starting, is braking, even by acquiring ribbon conveyer
Three position belt speed variation tracks when speed, speed change, analysis conveyer belt are starting, are braking, correlation at the uniform velocity, under speed change, using
Function interpolation calculation goes out the whole belt of belt conveyor belt speed changing rule of synchronization, extracts no material lower band formula conveying
Machine conveyer tape speed variation characteristic vector；
When ribbon conveyer is run without material, ribbon conveyer input power is acquired using high-precision power instrument, dynamic torque passes
Sensor and speed probe measure ribbon conveyer output mechanical power, by synchronization ribbon conveyer input power and output
Mechanical output is subtracted each other, and is just obtained " belt conveyor system energy consumption ", extraction ribbon conveyer start, braking, at the uniform velocity, under speed change
Belt conveyor system energy consumption, and the feature vector obtained with belt speed sensor is combined, and is obtained ribbon conveyer and is run without material
When sample；It using the above method, takes multiple measurements, belt conveyor system energy consumption and belt speed when obtaining multigroup no material operation
Feature vector sample.
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| CN201510295101.0A CN105000355B (en) | 2015-06-02 | 2015-06-02 | Belt conveyor on-line energy efficiency monitoring method |
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| CN201510295101.0A Expired - Fee Related CN105000355B (en) | 2015-06-02 | 2015-06-02 | Belt conveyor on-line energy efficiency monitoring method |
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| CN106347970B (en) * | 2015-06-02 | 2018-06-22 | 南通大学 | A kind of ribbon conveyer energy efficiency monitoring method with online energy efficiency monitoring |
| CN108180968A (en) * | 2016-12-08 | 2018-06-19 | 沈阳铝镁设计研究院有限公司 | A kind of method for calculating fluoride salt consumption automatically in fluoride salt warehouse |
| CN106628948B (en) * | 2016-12-22 | 2019-11-01 | 神华集团有限责任公司 | The method, apparatus and system of coal mine leather belt machine speed regulation |
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2015
- 2015-06-02 CN CN201610903773.XA patent/CN106347970B/en not_active Expired - Fee Related
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| CN106347970B (en) | 2018-06-22 |
| CN105000355A (en) | 2015-10-28 |
| CN105000355B (en) | 2017-04-12 |
| CN106347970A (en) | 2017-01-25 |
| CN106241281A (en) | 2016-12-21 |
| CN106477273A (en) | 2017-03-08 |
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