CN116450654A - Energy consumption optimization method and system for excavator based on N-T database - Google Patents
Energy consumption optimization method and system for excavator based on N-T database Download PDFInfo
- Publication number
- CN116450654A CN116450654A CN202310685930.4A CN202310685930A CN116450654A CN 116450654 A CN116450654 A CN 116450654A CN 202310685930 A CN202310685930 A CN 202310685930A CN 116450654 A CN116450654 A CN 116450654A
- Authority
- CN
- China
- Prior art keywords
- excavator
- engine
- rotating speed
- database
- output torque
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000005457 optimization Methods 0.000 title claims abstract description 42
- 238000005265 energy consumption Methods 0.000 title claims abstract description 29
- 230000008569 process Effects 0.000 claims abstract description 18
- 238000007781 pre-processing Methods 0.000 claims abstract description 10
- 238000004590 computer program Methods 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 16
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 7
- 238000013461 design Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000004445 quantitative analysis Methods 0.000 claims description 3
- 238000009412 basement excavation Methods 0.000 abstract description 3
- 239000003921 oil Substances 0.000 description 13
- 230000006870 function Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 7
- 239000000446 fuel Substances 0.000 description 6
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02F—DREDGING; SOIL-SHIFTING
- E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
- E02F9/20—Drives; Control devices
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02F—DREDGING; SOIL-SHIFTING
- E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
- E02F9/20—Drives; Control devices
- E02F9/22—Hydraulic or pneumatic drives
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02F—DREDGING; SOIL-SHIFTING
- E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
- E02F9/20—Drives; Control devices
- E02F9/22—Hydraulic or pneumatic drives
- E02F9/2246—Control of prime movers, e.g. depending on the hydraulic load of work tools
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Operation Control Of Excavators (AREA)
Abstract
The invention provides an energy consumption optimization method and system for an excavator based on an N-T database, wherein the method comprises the following steps: according to the engine model of the excavator, the corresponding relation between the output torque and the optimal rotating speed of the engine is established by combining the universal characteristic curve of the engine, and the corresponding relation is stored in an N-T database; collecting a current signal of a control handle of the excavator in the working process; preprocessing the current signal to identify an excavation stage; collecting the output torque of the engine when the excavator is in the excavating stage, and identifying an effective value; and obtaining the corresponding optimal rotating speed from the N-T database according to the effective value. Through pre-establishing the corresponding relation between the output torque N of the engine and the optimal rotation speed T, then identifying the excavating stage and obtaining the effective value of the output torque of the stage, the optimal rotation speed can be obtained according to the effective value, and the energy consumption optimization is realized while the working efficiency of the excavator is ensured.
Description
Technical Field
The invention relates to the technical field of engineering machinery, in particular to an energy consumption optimization method and system for an excavator based on an N-T database.
Background
The hydraulic excavator is high in power, high in energy consumption, complex and changeable in working environment and large in load change, so that the engine cannot work in an economic working condition area, the combustion working condition is bad, the oil consumption is increased, and the emission is poor. The current load demand power is determined empirically by an operator, and then the working mode is set, so that the method has great blindness, and huge energy loss is caused by the mismatch between the load demand power and the output power of the engine.
In addition, the working condition loads of the excavator are changeable, different working objects have different requirements on power, and an operator cannot switch the working mode at any time according to the working condition. The main reason for the loss of the engine transition region is that the engine is operated in a high power region for a long period of time and when operated without matching the pump power, heat flow is lost by about 60%. According to the investigation, the energy consumption of the engine and the main pump can be optimized by about 3% in the transition field through the control and matching of the power of the engine and the main pump by the controller. Therefore, it is required that the excavator can recognize the current load condition and adjust the rotation speed operating point in a targeted manner.
Disclosure of Invention
The invention aims to provide an energy consumption optimization method and system for an excavator based on an N-T database, which ensure the working efficiency of the excavator and realize the energy consumption optimization of the excavator.
In order to achieve the above purpose, the invention provides an energy consumption optimization method of an excavator based on an N-T database, which comprises the following steps:
s1, according to the model of the engine of the excavator, establishing a corresponding relation between output torque and optimal rotating speed of the engine by combining a universal characteristic curve of the engine, and storing the relation in an N-T database;
s2, collecting a current signal of a control handle of the excavator in the working process;
s3, preprocessing the current signal to identify an excavating stage;
s4, collecting the output torque of the engine when the excavator is in the excavating stage, and identifying an effective value;
s5, obtaining the corresponding optimal rotating speed from the N-T database according to the effective value.
Optionally, the S1 specifically includes:
s11, determining a rotating speed adjusting range according to the universal characteristic curve of the engine;
s12, determining a target rotating speed point set with an optimization effect according to the oil consumption performance of the test speed regulation process under a single working condition, and determining the torque corresponding to each target rotating speed point;
and S13, carrying out quantitative analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point, obtaining the corresponding optimal rotating speed point under each torque, and storing the optimal rotating speed point in the N-T database.
Optionally, the S1 further includes:
s14, repeating the steps S11-S13, establishing corresponding relations between the output torque of the engine and the optimal rotating speed under different working conditions, and storing the corresponding relations in the N-T database.
Optionally, the S1 further includes:
s15, repeating the steps S11-S14, establishing corresponding relations between the output torque of the engine and the optimal rotating speed under different engine models, and storing the relations in the N-T database.
Optionally, the optimized performance is quantitatively analyzed, and simultaneously, the corresponding optimal rotating speed point under each torque is obtained by combining the feeling of an operator.
Optionally, in the step S3, preprocessing the current signal specifically includes:
and carrying out moving average filtering on the current signal, filtering out interference data and then averaging.
Optionally, the effective value is an average value of the collected output torque in a unit time.
Based on the same inventive concept, the invention also provides an energy consumption optimization system of the excavator based on the N-T database, which comprises the following steps:
the relation establishing module is used for establishing a corresponding relation between the output torque of the engine and the optimal rotating speed according to the model of the engine of the excavator and the universal characteristic curve of the engine;
the N-T database is used for storing the corresponding relation between the output torque of the engine and the optimal rotating speed;
the signal acquisition module is used for acquiring current signals of a control handle of the excavator;
the identification module is used for preprocessing the current signal so as to identify an excavating stage;
the torque acquisition module is used for acquiring the output torque of the engine when the excavator is in the excavating stage and identifying an effective value;
and the rotating speed acquisition module is used for acquiring the corresponding optimal rotating speed from the N-T database according to the effective value.
Optionally, the relationship establishing module includes:
a rotation speed adjusting unit for determining a rotation speed adjusting range according to the universal characteristic curve of the engine;
the parameter acquisition unit is used for determining a target rotating speed point set with an optimization effect and torque corresponding to each target rotating speed point according to the oil consumption performance of the test speed regulation process under a single working condition;
and the quantization analysis unit is used for carrying out quantization analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point to obtain the corresponding optimal rotating speed point under each torque.
Based on the same inventive concept, the present invention also provides a readable storage medium having stored thereon a computer program which, when executed, enables the method for optimizing energy consumption of an N-T database-based excavator as described above.
According to the energy consumption optimization method and system for the excavator based on the N-T database, the corresponding relation between the output torque N of the engine and the optimal rotation speed T is established in advance, then the excavating stage is identified, the torque effective value of the excavating stage is obtained, the optimal rotation speed can be obtained according to the torque effective value, the working efficiency of the excavator is ensured, and meanwhile, the energy consumption optimization of the excavator is realized.
Drawings
It will be appreciated by those skilled in the art that the drawings are provided for a better understanding of the invention and do not constitute any limitation on the scope of the invention. Wherein:
FIG. 1 is a step diagram of an energy optimization method for an N-T database-based excavator according to an embodiment of the present invention;
fig. 2 is a block diagram of an energy optimization system of an excavator based on an N-T database according to an embodiment of the present invention.
Reference numerals
1-a relation establishing module; a 2-N-T database; 3-a signal acquisition module; 4-an identification module; 5-a torque acquisition module; and 6, a rotating speed acquisition module.
Description of the embodiments
An excavator generally includes the following five phases for a complete work cycle: in the five stages, the load working condition of the excavating stage is stable, the fluctuation of torque is small, and the power requirement of the excavator can be relatively reflected.
Based on the method, the corresponding relation between the output torque N of the engine and the optimal rotation speed T is established in advance, then the excavating stage is identified, the torque effective value of the excavating stage is obtained, the optimal rotation speed can be obtained according to the torque effective value, the working efficiency of the excavator is ensured, and meanwhile, the energy consumption optimization of the excavator is realized.
The invention will be described in further detail with reference to the drawings and the specific embodiments thereof in order to make the objects, advantages and features of the invention more apparent. It should be noted that, the drawings are in very simplified form and all use non-precise proportions, which are only used for the purpose of conveniently and clearly assisting in explaining the embodiments of the present invention, and are not intended to limit the implementation conditions of the present invention, so that the present invention has no technical significance, and any modification of the structure, change of the proportional relation or adjustment of the size, without affecting the efficacy and achievement of the present invention, should still fall within the scope covered by the technical content disclosed by the present invention.
It should be further understood that the terms "first," "second," "third," and the like in this specification are used merely for distinguishing between various components, elements, steps, etc. in the specification and not for indicating a logical or sequential relationship between the various components, elements, steps, etc., unless otherwise indicated. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1, fig. 1 is a step diagram of an energy consumption optimization method for an N-T database-based excavator according to an embodiment of the present invention. The embodiment provides an energy consumption optimization method of an excavator based on an N-T database, which comprises the following steps:
s1, according to the model of the engine of the excavator, establishing a corresponding relation between output torque and optimal rotating speed of the engine by combining a universal characteristic curve of the engine, and storing the corresponding relation in an N-T database;
s2, collecting a current signal of a control handle of the excavator in the working process;
s3, preprocessing the current signal to identify an excavating stage;
s4, collecting the output torque of the engine when the excavator is in the excavating stage, and identifying an effective value;
s5, obtaining the corresponding optimal rotating speed from the N-T database according to the effective value.
First, step S1 is executed, and according to the engine model of the excavator, the corresponding relation between the output torque N of the engine and the optimal rotation speed T is established in combination with the universal characteristic curve of the engine, and stored in the N-T database.
In this embodiment, the S1 specifically includes:
s11, determining a rotating speed adjusting range according to the universal characteristic curve of the engine;
s12, determining a target rotating speed point set with an optimization effect according to the oil consumption performance of the test speed regulation process under a single working condition, and determining the torque corresponding to each target rotating speed point;
and S13, carrying out quantitative analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point, obtaining the corresponding optimal rotating speed point under each torque, and storing the optimal rotating speed point in the database.
The universal characteristic curve is characterized in that a rotating speed N is taken as an abscissa, a torque T is taken as an ordinate, a plurality of equal fuel consumption rate curves and equal power curves are drawn on a graph to form the universal characteristic of the engine, and the change of various performance parameters of the engine can be comprehensively represented on one graph.
In this embodiment, different scenes correspond to different loads and working conditions, and a target rotation speed point set with an optimization effect and torques corresponding to all target rotation speed points can be determined according to the oil consumption performance of the test speed regulation process under a single working condition.
In S13, the evaluation function under each working condition n may be expressed as:
wherein:
: weighted fuel consumption rate, calibrated at a lower heating value of 42700kJ/kg, in grams per kilowatt-hour (g/kW.h);
: the fuel consumption per hour measured under each working condition is expressed in grams per hour (g/h);
: weighting coefficients of all working conditions;
: the power at each operating mode is in kilowatts (kW).
Preferably, the optimized performance is quantitatively analyzed, and simultaneously, the corresponding optimal rotating speed point under each torque is obtained by combining the feeling of an operator (whether discomfort is felt or not).
Preferably, ten cycle times are actually tested through the power after the rotation speed optimization of the excavator, and the fuel saving index is tested and verified.
In order to prove the true effectiveness of the scheme, the method can analyze three aspects of energy saving performance, efficiency performance and comprehensive performance of the scheme:
1) Energy-saving performance: according to the universal characteristic curve of the existing excavator engine (daoz), two main conclusions can be obtained, namely, the overall trend of the fuel oil rate rises along with the increase of power; the higher the engine speed, the higher the fuel consumption. The theoretical economic working point can be obtained according to the existing characteristic curve, and the fuel consumption can be saved by 2% in the low, medium and high rotation speed areas of the engine;
2) Efficiency performance: in the process of optimizing the oil consumption of the excavator, whether the oil consumption is reduced or not can not be considered, whether the efficiency of the excavator is influenced or not also has to be considered, and whether the efficiency of the excavator is greatly influenced or not is judged by the power of an engine, the time required for ten cycles of the excavator to work and visual feeling of an operator of the excavator at present under the same working condition. According to theoretical analysis, the engine power is not reduced by more than 4.2%, and the engine power is reduced by at most 0.4% in a medium-speed (1000-1400) area and a high-speed (1400-1800);
3) Comprehensive performance: the optimization performance is quantitatively analyzed with an evaluation function (specific function) that combines the oil consumption value and the excavator work efficiency.
In this embodiment, by executing steps S11-S13, an N-T table under a single working condition can be established.
Further, considering more working conditions, the S1 further comprises S14, and the corresponding relation between the output torque of the engine and the optimal rotating speed under different working conditions can be established by repeating the S11-S13, so that the N-T table is expanded to an N-T table set.
Further, considering different engine models, the method comprises the steps of forming the engine by the surface, wherein S1 further comprises S15, repeating S11-S14, and establishing the corresponding relation between the output torque and the optimal rotating speed of the engine under different engine models to expand the N-T table set into an N-T library.
After the N-T database is established, a step S2 is executed, and current signals of a control handle of the excavator in the working process are collected.
Step S3 is then performed to pre-process the current signal to identify the excavation phase. In this embodiment, preprocessing the current signal specifically includes:
and carrying out moving average filtering on the current signal, filtering out interference data, then carrying out averaging, and then identifying an excavating stage according to the average value, thereby improving the identification precision.
And then executing step S4, collecting the output torque of the engine when the excavator is in the excavating stage, and identifying the effective value. In this embodiment, the effective value is an average value of the collected output torque in a unit time. It should be appreciated that the effectiveness of the output torque can be ensured by calculating the average value, considering that the load fluctuates to some extent under the same scene.
And finally, executing step S5, and acquiring the corresponding optimal rotating speed from the N-T database according to the effective value.
In this embodiment, the optimal rotation speed of the first bucket or the first few buckets of the excavator can be obtained according to the above scheme, and then the engine is adjusted to the optimal rotation speed and is applied to the subsequent excavation under the same scene, so that the energy consumption of the excavator is reduced.
Based on this, referring to fig. 2, the present invention further provides an energy optimization system of an excavator based on an N-T database, including:
the relation establishing module 1 is used for establishing a corresponding relation between the output torque of the engine and the optimal rotating speed according to the engine model of the excavator and the universal characteristic curve of the engine;
an N-T database 2 for storing a correspondence between an output torque of the engine and an optimal rotation speed;
the signal acquisition module 3 is used for acquiring current signals of a control handle of the excavator;
the identification module 4 is used for preprocessing the current signal to identify an excavating stage;
the torque acquisition module 5 is used for acquiring the output torque of the engine when the excavator is in the excavating stage and identifying an effective value;
and the rotating speed obtaining module 6 is used for obtaining the corresponding optimal rotating speed from the N-T database 2 according to the effective value.
The energy consumption optimization system of the excavator based on the N-T database provided by the invention can be used for identifying the excavating stage and acquiring the torque effective value of the excavating stage by pre-establishing the corresponding relation between the output torque N of the engine and the optimal rotation speed T, so that the optimal rotation speed can be acquired according to the torque effective value, the working efficiency of the excavator is ensured, and the energy consumption optimization of the excavator is realized.
Further, the relationship establishing module 1 includes:
a rotation speed adjusting unit for determining a rotation speed adjusting range according to the universal characteristic curve of the engine;
the parameter acquisition unit is used for determining a target rotating speed point set with an optimization effect and torque corresponding to each target rotating speed point according to the oil consumption performance of the test speed regulation process under a single working condition;
and the quantization analysis unit is used for carrying out quantization analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point to obtain the corresponding optimal rotating speed point under each torque.
Based on the same inventive concept, the embodiment of the present invention also proposes a readable storage medium having stored thereon a computer program which, when executed, enables the implementation of the method for optimizing energy consumption of an N-T database-based excavator as described above.
The readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device, such as, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the preceding. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer program described herein may be downloaded from a readable storage medium to a respective computing/processing device or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives the computer program from the network and forwards the computer program for storage in a readable storage medium in the respective computing/processing device. Computer programs for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer program may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuits, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for a computer program, which can execute computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, systems, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer programs. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the programs, when executed by the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer programs may also be stored in a readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the readable storage medium storing the computer program includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the computer program which is executed on the computer, other programmable apparatus or other devices implements the functions/acts specified in the flowchart and/or block diagram block or blocks.
In summary, the invention provides an energy consumption optimization method and system for an excavator based on an N-T database, which are characterized in that through pre-establishing a corresponding relation between output torque N of an engine and optimal rotation speed T, then identifying an excavating stage and acquiring a torque effective value of the excavating stage, the optimal rotation speed can be acquired according to the torque effective value, and the energy consumption optimization of the excavator is realized while the working efficiency of the excavator is ensured.
It should also be appreciated that while the present invention has been disclosed in the context of a preferred embodiment, the above embodiments are not intended to limit the invention. Many possible variations and modifications of the disclosed technology can be made by anyone skilled in the art without departing from the scope of the technology, or the technology can be modified to be equivalent. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.
Claims (10)
1. The energy consumption optimization method for the excavator based on the N-T database is characterized by comprising the following steps of:
s1, according to the model of the engine of the excavator, establishing a corresponding relation between output torque and optimal rotating speed of the engine by combining a universal characteristic curve of the engine, and storing the corresponding relation in an N-T database;
s2, collecting a current signal of a control handle of the excavator in the working process;
s3, preprocessing the current signal to identify an excavating stage;
s4, collecting the output torque of the engine when the excavator is in the excavating stage, and identifying an effective value;
s5, obtaining the corresponding optimal rotating speed from the N-T database according to the effective value.
2. The method for optimizing energy consumption of an N-T database-based excavator according to claim 1, wherein S1 specifically comprises:
s11, determining a rotating speed adjusting range according to the universal characteristic curve of the engine;
s12, determining a target rotating speed point set with an optimization effect according to the oil consumption performance of the test speed regulation process under a single working condition, and determining the torque corresponding to each target rotating speed point;
and S13, carrying out quantitative analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point, obtaining the corresponding optimal rotating speed point under each torque, and storing the optimal rotating speed point in the N-T database.
3. The method for optimizing energy consumption of an N-T database based excavator of claim 2 wherein S1 further comprises:
s14, repeating the steps S11-S13, establishing corresponding relations between the output torque of the engine and the optimal rotating speed under different working conditions, and storing the corresponding relations in the N-T database.
4. The method for optimizing energy consumption of an N-T database based excavator of claim 3 wherein S1 further comprises:
s15, repeating the steps S11-S14, establishing corresponding relations between the output torque of the engine and the optimal rotating speed under different engine models, and storing the relations in the N-T database.
5. The energy optimization method for the excavator based on the N-T database according to claim 2, wherein the optimization performance is quantitatively analyzed, and meanwhile, the corresponding optimal rotation speed point under each torque is obtained by combining the operator experience.
6. The method for optimizing energy consumption of an N-T database based excavator according to claim 1, wherein in S3, preprocessing the current signal specifically comprises:
and carrying out moving average filtering on the current signal, filtering out interference data and then averaging.
7. The method of optimizing energy consumption of an N-T database based excavator of claim 1 wherein the effective value is an average of the collected output torque over a unit time.
8. An energy optimization system for an N-T database-based excavator, comprising:
the relation establishing module is used for establishing a corresponding relation between the output torque of the engine and the optimal rotating speed according to the model of the engine of the excavator and the universal characteristic curve of the engine;
the N-T database is used for storing the corresponding relation between the output torque of the engine and the optimal rotating speed;
the signal acquisition module is used for acquiring current signals of a control handle of the excavator;
the identification module is used for preprocessing the current signal so as to identify an excavating stage;
the torque acquisition module is used for acquiring the output torque of the engine when the excavator is in the excavating stage and identifying an effective value;
and the rotating speed acquisition module is used for acquiring the corresponding optimal rotating speed from the N-T database according to the effective value.
9. The N-T database based energy optimization system of claim 8, wherein the relationship establishment module comprises:
a rotation speed adjusting unit for determining a rotation speed adjusting range according to the universal characteristic curve of the engine;
the parameter acquisition unit is used for determining a target rotating speed point set with an optimization effect and torque corresponding to each target rotating speed point according to the oil consumption performance of the test speed regulation process under a single working condition;
and the quantization analysis unit is used for carrying out quantization analysis on the optimization performance according to the corresponding power and oil consumption design evaluation function under each target rotating speed point to obtain the corresponding optimal rotating speed point under each torque.
10. A readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, is capable of implementing the N-T database based energy optimization method of an excavator according to any one of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310685930.4A CN116450654A (en) | 2023-06-12 | 2023-06-12 | Energy consumption optimization method and system for excavator based on N-T database |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310685930.4A CN116450654A (en) | 2023-06-12 | 2023-06-12 | Energy consumption optimization method and system for excavator based on N-T database |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116450654A true CN116450654A (en) | 2023-07-18 |
Family
ID=87132312
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310685930.4A Withdrawn CN116450654A (en) | 2023-06-12 | 2023-06-12 | Energy consumption optimization method and system for excavator based on N-T database |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116450654A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202131631U (en) * | 2011-05-17 | 2012-02-01 | 常林股份有限公司 | Energy saving controlling device of hydraulic excavator engine |
CN102943498A (en) * | 2012-11-08 | 2013-02-27 | 三一重机有限公司 | Energy-saving control method for excavator and excavator |
CN108678065A (en) * | 2018-05-31 | 2018-10-19 | 马鞍山松鹤信息科技有限公司 | A kind of excavator energy-saving control method |
CN113062397A (en) * | 2021-03-26 | 2021-07-02 | 大连理工大学 | Excavator power matching method based on power matching rule base |
CN113202642A (en) * | 2021-05-24 | 2021-08-03 | 三一重机有限公司 | Engine rotating speed control method and device for engineering machinery and engineering machinery |
CN114357880A (en) * | 2022-01-04 | 2022-04-15 | 大连理工大学 | Staged optimization method for engine working point of hydraulic excavator |
CN116186467A (en) * | 2023-03-01 | 2023-05-30 | 大连理工大学 | Excavator working point optimizing method based on comprehensive evaluation model |
-
2023
- 2023-06-12 CN CN202310685930.4A patent/CN116450654A/en not_active Withdrawn
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202131631U (en) * | 2011-05-17 | 2012-02-01 | 常林股份有限公司 | Energy saving controlling device of hydraulic excavator engine |
CN102943498A (en) * | 2012-11-08 | 2013-02-27 | 三一重机有限公司 | Energy-saving control method for excavator and excavator |
CN108678065A (en) * | 2018-05-31 | 2018-10-19 | 马鞍山松鹤信息科技有限公司 | A kind of excavator energy-saving control method |
CN113062397A (en) * | 2021-03-26 | 2021-07-02 | 大连理工大学 | Excavator power matching method based on power matching rule base |
CN113202642A (en) * | 2021-05-24 | 2021-08-03 | 三一重机有限公司 | Engine rotating speed control method and device for engineering machinery and engineering machinery |
CN114357880A (en) * | 2022-01-04 | 2022-04-15 | 大连理工大学 | Staged optimization method for engine working point of hydraulic excavator |
CN116186467A (en) * | 2023-03-01 | 2023-05-30 | 大连理工大学 | Excavator working point optimizing method based on comprehensive evaluation model |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP2005070940A (en) | Pid parameter adjusting device | |
CN115544815A (en) | Method and device for generating fan model | |
CN113529845B (en) | Excavator fault diagnosis method, excavator, electronic device and readable storage medium | |
CN116450654A (en) | Energy consumption optimization method and system for excavator based on N-T database | |
CN113236431B (en) | Engineering machinery energy-saving control method and device and engineering machinery | |
CN114626634A (en) | Method and device for mining oil consumption optimization strategy, electronic equipment, medium and chip | |
Song et al. | Development of the integrated process for torque converter design and analysis | |
Hahn et al. | Study of parametric and non-parametric optimization of a rotor-bearing system | |
CN115221787A (en) | Cylindrical permanent magnet linear motor multi-objective optimization method and system based on NSGA-II | |
CN113987946B (en) | Particle swarm multi-target motor optimization method and system based on orthogonal analysis | |
Perdukova et al. | A model-based fuzzy control of an induction motor | |
CN110519389B (en) | Parameter adjusting method and device for engineering equipment, engineering equipment and storage medium | |
Nazaré et al. | Green-Box System Identification and Carbon Footprint Analysis for Sustainable Computing | |
CN110941877A (en) | Analysis method for motor working area of pure electric vehicle | |
Dong et al. | Model optimization method based on Rhino | |
CN116305642B (en) | Method and device for analyzing tolerance sensitivity of permanent magnet synchronous motor and computer readable storage medium | |
CN113254525A (en) | Collaborative manufacturing engine system constructed based on industrial PAAS and implementation method | |
CN112421995B (en) | Motor efficient operation control method and device, electronic equipment and storage medium | |
CN116451809A (en) | Excavator working condition identification method and system based on DAGSVM algorithm | |
CN110048404A (en) | Online optimization method and device for low-frequency oscillation suppressor of power system and storage medium | |
CN111400849A (en) | Method and device for determining time sequence load of wind turbine generator | |
CN118868699A (en) | Hybrid model predictive control method and system for permanent magnet synchronous motor | |
CN115453916B (en) | Control method, device and equipment of working machine and working machine | |
CN116205091B (en) | Motor noise optimization method and device, electronic equipment and storage medium | |
CN113202647A (en) | Method and device for controlling output power of vehicle engine and terminal |
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 | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20230718 |