CN201649154U - Load automatic identification system for digging machine - Google Patents
Load automatic identification system for digging machine Download PDFInfo
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- CN201649154U CN201649154U CN2010201665688U CN201020166568U CN201649154U CN 201649154 U CN201649154 U CN 201649154U CN 2010201665688 U CN2010201665688 U CN 2010201665688U CN 201020166568 U CN201020166568 U CN 201020166568U CN 201649154 U CN201649154 U CN 201649154U
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- pressure sensor
- signal processing
- control chip
- main valve
- analog signal
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Abstract
The utility model discloses a load automatic identification system for a digging machine, which comprises five pressure sensors, five simulated signal processing circuits, a control chip and a D/A module, wherein the five pressure sensors are respectively connected into the control chip through the simulated signal processing circuits, the control chip is connected with the D/A module, the first pressure sensor is connected on an outlet oil path of a first main pump, the second pressure sensor is connected on an outlet oil path of a second main pump, the third pressure sensor is connected on an oil path connecting a digging bucket oil cylinder large cavity and a first main valve, the fourth pressure sensor is connected on an oil path connecting a movable arm small cavity and a second main valve, and the fifth pressure sensor is connected on an oil path connecting a bucket rod oil cylinder large cavity and a third main valve. The system can be used for engineering machinery such as the digging machine and the like, the output power of an engine is determined through automatically identifying the digging load, the installation is convenient, and the utility model can improve the operation work efficiency, reduce the fuel oil consumption, and reduce the work intensity of operators.
Description
Technical field
The utility model relates to a kind of engineering machinery, relates in particular to a kind of system for automatically identifying load of excavator.
Background technology
In the excavator course of work, because manipulating object type difference is very big, it is just obviously different that excavator overcomes the required energy of load.Only relying on operating personnel is accurate inadequately to the subjective judgement of manipulating object, for example loosens the soil when excavating, and the excavator power output that the soil of different mellowness requires is also different.Therefore the throttle position of manual adjustments excavator power mode and motor just bears the character of much blindness, and can't realize the truly energy-conservation purpose of power match.
If in mining process, can judge current excavation situation automatically, regulating engine output and current place condition of loading adapts, so not only can reduce operating personnel's working strength, and can accomplish truly power match, reduce fuel consume.Excavator operation is a dynamic cyclic process, repeats work with " excavation-lifting-revolution-unloading " substantially, and whole hydraulic system pressure also constantly changes thereupon.As shown in Figure 1, present stage excavator hydraulic system comprise: bucket cylinder 1, boom cylinder 2, bucket arm cylinder 3, first main valve 4, second main valve 5, the 3rd main valve 6, first main pump 7 and second main pump 8.First main pump 7 inputs to bucket cylinder 1 and boom cylinder 2 with hydraulic oil respectively through first main valve 4 and 5 controls of second main valve.Second main pump 8 inputs to bucket arm cylinder 3 with hydraulic oil through 6 controls of the 3rd main valve.
Existing excavator is only installed first pressure sensor 9 and second pressure sensor 10 in the outlet of first main pump 7 and second main pump 8, with the force value that the collects foundation as the automatic identification of excavator operating mode.But following problem can appear:
(1) is difficult to determine acquisition time.Because during excavator work, repeatedly peak value can appear in the outlet pressure of first main pump 7 and second main pump 8.For example, when excavator just started, repeatedly peak value can appear in the outlet pressure of first main pump 7 and second main pump 8.Perhaps, cause the oil cylinder dieback, outlet pressure is increased severely because the excavation scope is too big.
(2) because operating personnel's misoperation also can cause the outlet pressure profiling error to first main pump 7 and second main pump 8.For example, operating personnel do not excavate in several working cycles, cause delivery side of pump pressure too small, can not reflect the actual excavation power demand.
In a word, in existing engineering machinery load recognition system, the excavation state can't be accurately determined in existence, causes load identification inaccuracy, causes great amount of fuel oil loss and environment pollution.
The utility model content
The utility model purpose be to overcome the above-mentioned outlet pressure that has only first main pump 7 and second main pump 8 as load judgment according to the defective that exists, a kind of load autonomous classification system that is used for excavator is provided, this system can use for engineering machinery such as excavators, excavate load by autonomous classification, determine engine output, easy for installation, it can improve work operations efficient, reduce fuel consume, alleviate operator's working strength.
Technical solution of the present utility model is: a kind of load autonomous classification system that is used for excavator, the hydraulic system of excavator comprises: bucket cylinder, boom cylinder, bucket arm cylinder, first main valve, second main valve, the 3rd main valve, first main pump and second main pump.This system for automatically identifying load of excavator comprises five pressure sensors, five analog signal processing circuits, control chip and D/A modules.Wherein, described first pressure sensor is by the first analog signal processing circuit Access Control chip, second pressure sensor is by the second analog signal processing circuit Access Control chip, the 3rd pressure sensor is by the 3rd analog signal processing circuit Access Control chip, the 4th pressure sensor is by the 4th analog signal processing circuit Access Control chip, the 5th pressure sensor is by the 5th analog signal processing circuit Access Control chip, and control chip links to each other with the D/A module.Described first pressure sensor inserts on the outlet oil circuit of first main pump, second pressure sensor inserts on the outlet oil circuit of second main pump, the 3rd pressure sensor inserts on the big chamber of bucket cylinder and the oil circuit that first main valve links to each other, the 4th pressure sensor inserts on boom cylinder loculus and the oil circuit that second main valve links to each other, on the big chamber of the 5th pressure sensor access bucket arm cylinder and the oil circuit that the 3rd main valve links to each other.
Compared with prior art, the utility model has following technique effect:
1. this system architecture is simple, applied widely, only need in the big chamber of bucket cylinder, the outlet of boom cylinder loculus, the big chamber of bucket arm cylinder, first main pump and second main pump setting pressure sensor respectively, it has avoided some to judge problems such as installation difficulty that attitude is brought according to the setting angle sensor.
2. this system's highly versatile can be reformulated the control strategy training sample according to different engineering machinery, realizes load identification.
3. to have processing speed fast in this system, degree of accuracy height, characteristics such as volume is little.The control method that utilization the utility model proposes, only need 15 seconds dig process in advance after, just can determine the present duty of excavator in real time.
4. this system can effectively avoid artificial fuel loss and the formulation power gear that the manipulating object error in judgement is caused low excessively, and the diesel engine that causes is flame-out.
Description of drawings
Fig. 1 excavator hydraulic circuit diagram;
Fig. 2 is that pressure sensor is at each cylinder hydraulic circuit installation drawing;
Fig. 3 is load recognition system circuit theory diagrams;
Fig. 4 is the analog signal processing circuit schematic diagram;
Fig. 5 is the associative neural network schematic diagram;
Fig. 6 is a D/A modular circuit schematic diagram;
Fig. 7 is a load recognition system theory diagram;
Among the figure, bucket cylinder 1, boom cylinder 2, bucket arm cylinder 3, first main valve 4, second main valve 5, the 3rd main valve 6, first main pump 7, second main pump 8, first pressure sensor 9, second pressure sensor 10, the 3rd pressure sensor 11, the 4th pressure sensor 12, the 5th pressure sensor 13, first analog signal processing circuit 14, second analog signal processing circuit 15, the 3rd analog signal processing circuit 16, the 4th analog signal processing circuit 17, the 5th analog signal processing circuit 18, control chip 19, D/A module 20.
The specific embodiment
Principle of the present utility model is: the utility model judges at first whether excavator is in the excavation state, gathers the outlet pressure of first main pump and second main pump then, finally determines excavator mode of operation and engine output.The excavation state of excavator can show that power shovel oil cylinder, boom cylinder and bucket arm cylinder action change.Therefore, the utility model judges that according to the oil liquid pressure of oil cylinder in the excavator hydraulic system this scheme only needs to add pressure sensor in original hydraulic system, change the action of judging excavator according to pressure output value, and data is handled simpler.Excavator is in a working cycles, and the general relevant action of each duty is analyzed as follows:
(1) mining process: boom cylinder is motionless, and bucket arm cylinder and bucket cylinder have composite move.
(2) lifting process: boom cylinder and bucket arm cylinder have composite move, the bucket cylinder attonity.
(3) unloading action: boom cylinder and bucket arm cylinder attonity, bucket cylinder has action.
When determining that according to the associative neural network algorithm excavator is in the excavation state, gather the outlet pressure value of first main pump and second main pump, finally determine the best throttle position and the most economical rotating speed of motor, reach purpose of energy saving.
Describe the utility model in detail below in conjunction with accompanying drawing, it is more obvious that the purpose of this utility model and effect will become.
As shown in Figure 3, the utility model load autonomous classification system of being used for excavator comprises five pressure sensors, five analog signal processing circuits, control chip 19 and D/A modules 20.Wherein, first pressure sensor 9 is by first analog signal processing circuit, 14 Access Control chips 19, second pressure sensor 10 is by second analog signal processing circuit, 15 Access Control chips 19, the 3rd pressure sensor 11 is by the 3rd analog signal processing circuit 16 Access Control chips 19, the 4th pressure sensor 12 is by the 4th analog signal processing circuit 17 Access Control chips 19, the 5th pressure sensor 13 is by the 5th analog signal processing circuit 18 Access Control chips 19, and control chip 19 links to each other with D/A module 20.
The installation site of pressure sensor in the excavator hydraulic circuit as shown in Figure 2.On first main valve, the 4 outlet oil circuits in control bucket cylinder 1 big chamber, the 3rd pressure sensor 11 is installed.On second main valve, the 5 outlet oil circuits of control boom cylinder 2 loculuses, the 4th pressure sensor 12 is installed.On the 3rd main valve 6 outlet oil circuits in control bucket arm cylinder 3 big chambeies, the 5th pressure sensor 13 is installed.First pressure sensor 9 and second pressure sensor 10 are installed respectively on the outlet oil circuit of first main pump 7 and second main pump 8.
Because the numerical value that collects of pressure sensor is Access Control chip 19 directly, need through analog signal processing circuit 14-18, as shown in Figure 4, the pressure signal that collects inserts the positive input terminal of amplifier U1 and the ground connection that links to each other with resistance R 1.The negative input end of amplifier U1 links to each other with output, finally is connected to chip 19 through resistance R 2.Zener diode D1 and capacitor C 2 are respectively at resistance R 2 series connection, and another termination simulates ground.Amplifier U1 operating voltage is made as 12V, positive voltage input and capacitor C 1 series connection simulation ground.What be that the A/D data acquisition module of current signal and control chip 19 sets is the voltage input because pressure sensor returns, so the analog signal processing circuit major function is that signal is nursed one's health, and changes into the desired input quantity of chip AD module.
To import as associative neural network through the pressure difference value of the 3rd pressure sensor 11, the 4th pressure sensor 12 and the 5th pressure sensor 13 of analog signal processing circuit.At first, excavator dug 15 seconds in advance, formulated the training sample of associative neural network, associative neural network theory diagram such as Fig. 5.The excavator operate as normal is judged excavator when associative neural network and is in the excavation state then, gathers first pressure sensor 9 and the pressure value of second pressure sensor 10 behind analog signal processing circuit 14 and analog signal processing circuit 15.Get higher value wherein as the foundation of judging excavator operating mode and load size.By the IO output high-low level of TMS320F2812 chip 19, establishing high level is 1, and low level is 0.Give the excavator master controller by the throttle position signal of D/A module 20 output motors at last, determine current engine power rating output.D/A module 20 mainly comprises MAX5250 chip U2 and amplifier U3.Because main control chip 19 can only be exported data signal, return to the excavator master controller so need convert it into data signal and amplify.Setting is output as 0 to 3V voltage, and linear expression is according to the required engine throttle position of load.The D/A circuit theory diagrams as shown in Figure 6.The IO mouth of TMS320F2812 main control chip 19 links to each other with MAX5250 chip U2.Output voltage inserts amplifier U3 positive input terminal.Amplifier U3 negative input end one end joins through resistance R 3 and simulation ground, and the other end links to each other with output through resistance R 4.Output links to each other with the master board of excavator.The theory diagram of load recognition system as shown in Figure 7.
In the utility model, control chip 19 can adopt TI company's T MS320F2812 chip, and amplifier U1 and amplifier U3 can adopt the LM324 of TI company.Chip U2 can adopt the MAX5250 of MAXIM company chip, but is not limited thereto.
The utility model is on the basis that does not change original excavator hydraulic circuit, and the pressure on the 3rd main valve 6 outlet oil circuits in second main valve 5 of first main valve 4 in acquisition controlling bucket cylinder 1 big chamber, control boom cylinder 2 loculuses and control bucket arm cylinder 3 big chambeies is as the foundation of judging the excavator state.Numerical value through associative neural network Treatment Analysis in the 3rd analog signal processing circuit 16, the 4th analog signal processing circuit 17 and the 5th analog signal processing circuit 18 input control chips 19 after, when determining that excavator is in the excavation state, gather 2 force value of outlet, get the foundation of higher value as the excavator load through first main pump 7 and second main pump 8 of first analog signal processing circuit 14 and second analog signal processing circuit 15.Transmit throttle position signal by D/A module 20 to the excavator master controller at last, finally determine the excavator power mode.
The foregoing description is used for the utility model of explaining; rather than the utility model limited; in the protection domain of spirit of the present utility model and claim, any modification and change to the utility model is made all fall into protection domain of the present utility model.
Claims (1)
1. load autonomous classification system that is used for excavator, the hydraulic system of excavator comprises: bucket cylinder (1), boom cylinder (2), bucket arm cylinder (3), first main valve (4), second main valve (5), the 3rd main valve (6), first main pump (7) and second main pump (8); It is characterized in that this system for automatically identifying load of excavator comprises five pressure sensors, five analog signal processing circuits, control chip (19) and D/A modules (20); Wherein, described first pressure sensor (9) is by first analog signal processing circuit (14) Access Control chip (19), second pressure sensor (10) is by second analog signal processing circuit (15) Access Control chip (19), the 3rd pressure sensor (11) is by the 3rd analog signal processing circuit (16) Access Control chip (19), the 4th pressure sensor (12) is by the 4th analog signal processing circuit (17) Access Control chip (19), the 5th pressure sensor (13) is by the 5th analog signal processing circuit (18) Access Control chip (19), and control chip (19) links to each other with D/A module (20); Described first pressure sensor (9) inserts on the outlet oil circuit of first main pump (7), second pressure sensor (10) inserts on the outlet oil circuit of second main pump (8), the 3rd pressure sensor (11) inserts on the big chamber of bucket cylinder (1) and the oil circuit that first main valve (4) links to each other, the 4th pressure sensor (12) inserts on boom cylinder (2) loculus and the oil circuit that second main valve (5) links to each other, and the 5th pressure sensor (13) access bucket arm cylinder (3) is greatly on chamber and the oil circuit that the 3rd main valve (6) links to each other.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201665688U CN201649154U (en) | 2010-04-22 | 2010-04-22 | Load automatic identification system for digging machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201665688U CN201649154U (en) | 2010-04-22 | 2010-04-22 | Load automatic identification system for digging machine |
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| CN201649154U true CN201649154U (en) | 2010-11-24 |
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| CN2010201665688U Expired - Lifetime CN201649154U (en) | 2010-04-22 | 2010-04-22 | Load automatic identification system for digging machine |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101806079A (en) * | 2010-04-22 | 2010-08-18 | 浙江大学 | System for automatically identifying load of excavator |
| CN106296474A (en) * | 2016-07-22 | 2017-01-04 | 厦门大学 | A kind of loader working condition complexity recognition methods |
| US10633823B2 (en) | 2016-07-22 | 2020-04-28 | Xiamen University | Method of identifying a difficulty level of an operating condition of a loader |
| CN115874675A (en) * | 2023-03-08 | 2023-03-31 | 鸿陆智能科技(山东)有限公司 | Hydraulic multi-way valve control system and implementation method thereof |
-
2010
- 2010-04-22 CN CN2010201665688U patent/CN201649154U/en not_active Expired - Lifetime
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101806079A (en) * | 2010-04-22 | 2010-08-18 | 浙江大学 | System for automatically identifying load of excavator |
| CN101806079B (en) * | 2010-04-22 | 2011-12-21 | 浙江大学 | System for automatically identifying load of excavator |
| CN106296474A (en) * | 2016-07-22 | 2017-01-04 | 厦门大学 | A kind of loader working condition complexity recognition methods |
| CN106296474B (en) * | 2016-07-22 | 2020-02-04 | 厦门大学 | Loader operation condition difficulty degree identification method |
| US10633823B2 (en) | 2016-07-22 | 2020-04-28 | Xiamen University | Method of identifying a difficulty level of an operating condition of a loader |
| CN115874675A (en) * | 2023-03-08 | 2023-03-31 | 鸿陆智能科技(山东)有限公司 | Hydraulic multi-way valve control system and implementation method thereof |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| AV01 | Patent right actively abandoned |
Granted publication date: 20101124 Effective date of abandoning: 20111221 |