Data processing method, work machine travel control method, device, equipment and work machine

Abstract

This invention relates to the field of operating machinery control technology, and discloses a data processing method, an operating machinery driving control method, a device, equipment, and operating machinery. The operating machinery driving control method includes: acquiring the actual resistance of the operating machinery during the current working process, determining the adjustable gear of the operating machinery based on the actual resistance, and selecting the gear with the lowest fuel consumption value from the adjustable gears according to the correspondence between the gear and fuel consumption. This enables real-time adjustment of the actual working parameters of the excavator under different tilt angle conditions, so that the real-time fuel consumption value of the excavator is always maintained within the optimal range.

Description

Technical Field

[0001] This invention relates to the field of work machinery control technology, specifically to a data processing method, a work machinery driving control method, a device, equipment, and work machinery. Background Technology

[0002] Excavators are important construction machinery products, mainly used for loading and moving equipment. With the development of the construction industry, excavators have become an indispensable part of the construction process. Because excavators are diesel-powered machines, they require diesel fuel for power. Therefore, if the excavator's power supply is not well-matched, excessive fuel consumption can occur during operation. Summary of the Invention

[0003] In view of this, the present invention provides a data processing method, a machine driving control method, a device, equipment and machine to solve the problem of high fuel consumption of excavators during operation.

[0004] In a first aspect, embodiments of the present invention provide a data processing method, the method comprising the following steps: obtaining an engine fuel consumption curve; determining theoretical operating parameters corresponding to each gear according to the engine fuel consumption curve; obtaining the theoretical optimal fuel consumption corresponding to each gear; for any gear i, adjusting the theoretical operating parameters corresponding to gear i according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, obtaining the actual optimal operating parameters corresponding to gear i, and taking the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i; traversing each gear to obtain the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear; obtaining the correspondence between gear and fuel consumption, and the correspondence between gear and operating parameters, according to the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear.

[0005] The data processing method provided in this embodiment of the invention obtains engine fuel consumption curves, determines the theoretical operating parameters corresponding to each gear based on the engine fuel consumption curves, further obtains the theoretical optimal fuel consumption corresponding to each gear, and adjusts the theoretical operating parameters corresponding to each gear based on the theoretical optimal fuel consumption, thereby determining the actual optimal fuel consumption and actual optimal operating parameters for each gear.

[0006] In one optional implementation, the data processing method further includes the following steps: acquiring multiple sets of experimental data, wherein each set of experimental data includes the tilt angle detection value of the tire relative to the horizontal plane and the resistance detection value corresponding to the tilt angle detection value; and obtaining the correspondence between the tilt angle and the resistance based on the multiple sets of experimental data.

[0007] Therefore, by processing multiple sets of experimental data, the corresponding relationship between tilt angle and drag can be obtained.

[0008] In one optional implementation, obtaining the correspondence between tilt angle and drag based on multiple sets of experimental data includes: performing cluster analysis on multiple sets of experimental data to obtain the correspondence between tilt angle and drag.

[0009] This allows for a convenient and accurate determination of the relationship between tilt angle and drag.

[0010] In one alternative implementation, the theoretical operating parameters include theoretical speed and theoretical torque, and the actual optimal operating parameters include actual optimal speed and actual optimal torque.

[0011] Secondly, embodiments of the present invention also provide a method for controlling the movement of a work machinery, the method comprising the following steps: obtaining the actual resistance of the work machinery during the current working process; determining the adjustable gear of the work machinery based on the actual resistance; obtaining the correspondence between the gear and fuel consumption obtained by the method of the first aspect or any corresponding embodiment, wherein the correspondence between the gear and fuel consumption includes multiple gears and fuel consumption values ​​corresponding to each gear; selecting the gear with the lowest fuel consumption value among the adjustable gears according to the correspondence between the gear and fuel consumption, and taking the selected gear with the lowest fuel consumption value as the target gear; determining the actual working parameters corresponding to the target gear based on the target gear and the correspondence between the gear and working parameters obtained by the method of the first aspect or any corresponding embodiment.

[0012] The machine driving control method provided in this embodiment of the invention obtains the actual resistance of the machine during the current working process, determines the adjustable gear of the machine based on the actual resistance, and selects the gear with the lowest fuel consumption value from the adjustable gears according to the correspondence between the gear and fuel consumption. In this way, the actual working parameters of the excavator can be adjusted in real time under different tilt angle conditions, so that the real-time fuel consumption value of the excavator is always maintained in the optimal range.

[0013] In one optional embodiment, obtaining the actual resistance of the working machinery during the current working process includes: obtaining the actual tilt angle between the tires and the horizontal plane of the working machinery during the current working process; obtaining the correspondence between the tilt angle and the resistance obtained using one embodiment of the first aspect; and determining the actual resistance of the working machinery during the working process based on the correspondence between the tilt angle and the resistance and the actual tilt angle.

[0014] This allows for easy determination of the actual resistance of the machinery during operation.

[0015] Thirdly, embodiments of the present invention also provide a data processing device, the device comprising a first acquisition module, a theoretical working parameter determination module, a second acquisition module, an adjustment module, and a correspondence establishment module; the first acquisition module is used to acquire fuel consumption curves such as those of an engine; the theoretical working parameter determination module is used to determine the theoretical working parameters corresponding to each gear according to the fuel consumption curves such as those of an engine; the second acquisition module is used to acquire the theoretical optimal fuel consumption corresponding to each gear; the adjustment module is used to adjust the theoretical working parameters corresponding to any gear i according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, thereby obtaining the actual optimal working parameters corresponding to gear i, and using the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i; it is used to traverse each gear to obtain the actual optimal fuel consumption and the actual optimal working parameters corresponding to each gear; the correspondence establishment module is used to obtain the correspondence between gears and fuel consumption, and the correspondence between gears and working parameters, according to the actual optimal fuel consumption and the actual optimal working parameters corresponding to each gear.

[0016] Fourthly, embodiments of the present invention also provide a machine tool driving control device, the device comprising a third acquisition module, an adjustable gear determination module, a fourth acquisition module, a target gear determination module, and an actual working parameter determination module; the third acquisition module is used to acquire the actual resistance of the machine tool during the current working process; the adjustable gear determination module is used to determine the adjustable gear of the machine tool based on the actual resistance; the fourth acquisition module is used to acquire the correspondence between gear and fuel consumption obtained by the method of the first aspect or any corresponding embodiment, wherein the correspondence between gear and fuel consumption includes multiple gears and fuel consumption values ​​corresponding to each gear; the target gear determination module is used to select the gear with the lowest fuel consumption value among the adjustable gears according to the correspondence between gear and fuel consumption, and take the selected gear with the lowest fuel consumption value as the target gear; the actual working parameter determination module is used to determine the actual working parameters corresponding to the target gear based on the target gear and the correspondence between gear and working parameters obtained by the first aspect or any corresponding embodiment.

[0017] Fifthly, embodiments of the present invention also provide a computer device, including a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the information processing method of the first aspect or any corresponding embodiment thereof, or the working machinery driving control method of the second aspect or any corresponding embodiment thereof.

[0018] Sixthly, embodiments of the present invention also provide a working machine, including the computer equipment of the fifth aspect.

[0019] In a seventh aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the information processing method of the first aspect or any corresponding embodiment thereof, or the working machinery driving control method of the second aspect or any corresponding embodiment thereof. Attached Figure Description

[0020] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a flowchart of a data processing method according to an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram showing the correspondence between rotational speed, torque, and fuel consumption in an embodiment of the present invention;

[0023] Figure 3 This is a flowchart of another data processing method according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram illustrating an example of the correspondence between tilt angle and drag according to an embodiment of the present invention;

[0025] Figure 5 This is a flowchart of a method for controlling the movement of work machinery according to an embodiment of the present invention;

[0026] Figure 6 This is a flowchart of another method for controlling the movement of work machinery according to an embodiment of the present invention;

[0027] Figure 7 This is a structural block diagram of a data processing apparatus according to an embodiment of the present invention;

[0028] Figure 8 This is a structural block diagram of a work machinery driving control device according to an embodiment of the present invention;

[0029] Figure 9 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] According to an embodiment of the present invention, a data processing method is provided. The following describes the data processing method in detail using an excavator as an example. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] This embodiment provides a data processing method that can be used in computer devices. Figure 1 This is a flowchart of a data processing method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0033] Step S101: Obtain the fuel consumption curves of the engine, etc.

[0034] Step S102: Determine the theoretical operating parameters corresponding to each gear according to the engine fuel consumption curve.

[0035] Specifically, the theoretical operating parameters include theoretical speed and theoretical torque. In other words, when matching the power of the electronically controlled pump, the theoretical speed and theoretical torque corresponding to each gear are calibrated based on the engine's constant fuel consumption curve.

[0036] Step S103: Obtain the theoretical optimal fuel consumption corresponding to each gear.

[0037] For example, the theoretical optimal fuel consumption for each gear can be determined based on the excavators sold on the market.

[0038] Step S104: For any gear i, adjust the theoretical working parameters corresponding to gear i according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, obtain the actual optimal working parameters corresponding to gear i, and take the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i.

[0039] Step S105: Iterate through each gear to obtain the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear.

[0040] Step S106: Based on the actual optimal fuel consumption and actual optimal working parameters corresponding to each gear, obtain the correspondence between gear and fuel consumption, and the correspondence between gear and working parameters.

[0041] Figure 2 This is a schematic diagram showing the correspondence between rotational speed, torque, and fuel consumption in an embodiment of the present invention.

[0042] It should be noted that if an excavator has 11 gears from 1 to 11, generally, the higher the gear, the higher the fuel consumption. However, in this embodiment of the invention, since the actual optimal fuel consumption and actual optimal working parameters for each gear are adjusted according to the theoretical optimal fuel consumption corresponding to each gear, it does not necessarily mean that the higher the gear, the higher the fuel consumption. For example, it is possible that the fuel consumption of gear 10 is lower than that of gear 9.

[0043] The data processing method provided in this embodiment of the invention obtains engine fuel consumption curves, determines the theoretical operating parameters corresponding to each gear based on the engine fuel consumption curves, further obtains the theoretical optimal fuel consumption corresponding to each gear, and adjusts the theoretical operating parameters corresponding to each gear based on the theoretical optimal fuel consumption, thereby determining the actual optimal fuel consumption and actual optimal operating parameters for each gear.

[0044] This embodiment provides a data processing method that can be used in computer devices. Figure 3 This is a flowchart of another data processing method according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps:

[0045] Step S301: Obtain the fuel consumption curves of the engine, etc.

[0046] Step S302: Determine the theoretical operating parameters corresponding to each gear based on the engine fuel consumption curves, etc.

[0047] Step S303: Obtain the theoretical optimal fuel consumption corresponding to each gear.

[0048] Step S304: For any gear i, adjust the theoretical working parameters corresponding to gear i according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, obtain the actual optimal working parameters corresponding to gear i, and take the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i.

[0049] Step S305: Iterate through each gear to obtain the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear.

[0050] Step S306: Based on the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear, obtain the correspondence between gear and fuel consumption, and the correspondence between gear and operating parameters.

[0051] Step S307: Obtain multiple sets of experimental data, where each set of experimental data includes the tilt angle detection value between the tire and the horizontal plane, and the resistance detection value corresponding to the tilt angle detection value.

[0052] Specifically, tilt sensors can be used to measure the tilt angle between the excavator tires and the horizontal plane.

[0053] Step S308: Obtain the relationship between tilt angle and drag based on multiple sets of experimental data.

[0054] In one optional implementation, obtaining the correspondence between tilt angle and drag based on multiple sets of experimental data includes: performing cluster analysis on multiple sets of experimental data to obtain the correspondence between tilt angle and drag.

[0055] In other words, under a fixed environment set by humans, the resistance of the excavator at different tilt angles is tested, thus obtaining multiple sets of experimental data. Cluster analysis is performed on multiple sets of experimental data to remove error points and abnormal points caused by special circumstances, and the correspondence between tilt angle and resistance is obtained.

[0056] Figure 4 This is a schematic diagram illustrating an example of the correspondence between tilt angle and drag according to an embodiment of the present invention.

[0057] The data processing method provided in this invention can not only determine the actual optimal fuel consumption and actual optimal operating parameters for each gear, but also obtain the correspondence between tilt angle and resistance by processing multiple sets of experimental data.

[0058] This embodiment provides a method for controlling the movement of construction machinery, which can be used with computer equipment. The following description uses an excavator as an example to illustrate the method in detail. Figure 5 This is a flowchart of a machine travel control method according to an embodiment of the present invention, such as... Figure 5 As shown, the process includes the following steps:

[0059] Step S501: Obtain the actual resistance of the working machinery during the current working process.

[0060] Step S502: Determine the adjustable gear of the working machine based on the actual resistance.

[0061] For example, an excavator has 11 gears, from 1 to 11. When the excavator needs to go uphill, the gears need to be adjusted to meet the requirements. Specifically, the adjustable gears of the machine can be determined based on the actual resistance; for example, gears 7 to 11 are adjustable.

[0062] Step S503: Obtain the correspondence between gear and fuel consumption, wherein the correspondence between gear and fuel consumption includes multiple gears and the fuel consumption value corresponding to each gear.

[0063] Step S504: Select the gear with the lowest fuel consumption value from the adjustable gears according to the correspondence between gear and fuel consumption, and take the selected gear with the lowest fuel consumption value as the target gear.

[0064] As mentioned above, if gears 7 through 11 are all adjustable, but based on the relationship between gear and fuel consumption, gear 9 has the lowest fuel consumption, so gear 9 is chosen as the target gear.

[0065] Step S505: Determine the actual working parameters corresponding to the target gear based on the target gear and the correspondence between the gear and the working parameters.

[0066] The machine driving control method provided in this embodiment of the invention obtains the actual resistance of the machine during the current working process, determines the adjustable gear of the machine based on the actual resistance, and selects the gear with the lowest fuel consumption value from the adjustable gears according to the correspondence between the gear and fuel consumption. In this way, the actual working parameters of the excavator can be adjusted in real time under different tilt angle conditions, so that the real-time fuel consumption value of the excavator is always maintained in the optimal range.

[0067] This embodiment provides a data processing method that can be used in computer devices. Figure 6 This is a flowchart of another working machinery driving control method according to an embodiment of the present invention, such as... Figure 6 As shown, the process includes the following steps:

[0068] Step S601: Obtain the actual tilt angle between the tires and the horizontal plane of the working machinery during the current working process.

[0069] Specifically, the actual tilt angle between the tire and the horizontal plane can be obtained through a tilt sensor.

[0070] Step S602: Obtain the correspondence between tilt angle and drag.

[0071] Specifically, it can be done through Figure 2 The data processing method is used to obtain the correspondence between the tilt angle and the drag.

[0072] Step S603: Determine the actual resistance of the working machinery during operation based on the correspondence between the tilt angle and the resistance, and the actual tilt angle.

[0073] Step S604: Determine the adjustable gear of the working machine based on the actual resistance.

[0074] Step S605: Obtain the correspondence between gear and fuel consumption, wherein the correspondence between gear and fuel consumption includes multiple gears and the fuel consumption value corresponding to each gear.

[0075] Step S606: Based on the correspondence between gear and fuel consumption, select the gear with the lowest fuel consumption value among the adjustable gears, and use the selected gear with the lowest fuel consumption value as the target gear.

[0076] Step S607: Determine the actual working parameters corresponding to the target gear based on the target gear and the correspondence between the gear and the working parameters.

[0077] The machine driving control method provided in this invention obtains the actual tilt angle between the tires and the horizontal plane during the current working process of the machine, determines the actual resistance of the machine during the working process based on the correspondence between the tilt angle and the resistance, and the actual tilt angle, determines the adjustable gear of the machine based on the actual resistance, and selects the gear with the lowest fuel consumption value from the adjustable gears based on the correspondence between the gear and fuel consumption. In this way, the actual working parameters of the excavator can be adjusted in real time under different tilt angle conditions, so that the real-time fuel consumption value of the excavator is always maintained in the optimal range.

[0078] This embodiment also provides a data processing apparatus for implementing the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0079] like Figure 7 As shown, the data processing device includes:

[0080] The first acquisition module 701 is used to acquire fuel consumption curves of engines, etc.

[0081] The theoretical operating parameter determination module 702 is used to determine the theoretical operating parameters corresponding to each gear based on the engine's fuel consumption curve.

[0082] The second acquisition module 703 is used to acquire the theoretical optimal fuel consumption corresponding to each gear.

[0083] The adjustment module 704 is used to adjust the theoretical working parameters corresponding to any gear i according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, obtain the actual optimal working parameters corresponding to gear i, and take the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i; it is used to traverse each gear to obtain the actual optimal fuel consumption and actual optimal working parameters corresponding to each gear.

[0084] The correspondence establishment module 705 is used to obtain the correspondence between gear and fuel consumption, and the correspondence between gear and operating parameters, based on the actual optimal fuel consumption and actual optimal operating parameters corresponding to each gear.

[0085] In one alternative implementation, the theoretical operating parameters include theoretical speed and theoretical torque, and the actual optimal operating parameters include actual optimal speed and actual optimal torque.

[0086] In one optional implementation, the data processing method further includes the following steps: acquiring multiple sets of experimental data, wherein each set of experimental data includes the tilt angle detection value of the tire relative to the horizontal plane and the resistance detection value corresponding to the tilt angle detection value; and obtaining the correspondence between tilt angle and resistance based on the multiple sets of experimental data.

[0087] In one optional implementation, obtaining the correspondence between tilt angle and drag based on multiple sets of experimental data includes: performing cluster analysis on multiple sets of experimental data to obtain the correspondence between tilt angle and drag.

[0088] This embodiment also provides a working machinery travel control device, such as... Figure 8 As shown, the operating machinery travel control device includes:

[0089] The third acquisition module 801 is used to acquire the actual resistance of the operating machinery during the current working process;

[0090] The adjustable gear determination module 802 is used to determine the adjustable gear of the working machinery based on the actual resistance.

[0091] The fourth acquisition module 803 is used to acquire the correspondence between gear and fuel consumption, wherein the correspondence between gear and fuel consumption includes multiple gears and the fuel consumption value corresponding to each gear.

[0092] The target gear determination module 804 is used to select the gear with the lowest fuel consumption value among the adjustable gears according to the correspondence between gear and fuel consumption, and to use the selected gear with the lowest fuel consumption value as the target gear.

[0093] The actual working parameter determination module 805 is used to determine the actual working parameters corresponding to the target gear based on the target gear and the correspondence between the gear and the working parameters.

[0094] In one optional embodiment, the operating machinery travel control device further includes a fifth acquisition module, a sixth acquisition module, and an actual resistance determination module. The fifth acquisition module is used to acquire the actual tilt angle between the tires and the horizontal plane during the current working process of the operating machinery; the sixth acquisition module is used to acquire the correspondence between the tilt angle and the resistance, wherein the correspondence between the tilt angle and the resistance is obtained by: acquiring multiple sets of experimental data, wherein each set of experimental data includes a detected value of the tilt angle between the tires and the horizontal plane, and a detected value of the resistance corresponding to the tilt angle; obtaining the correspondence between the tilt angle and the resistance based on the multiple sets of experimental data; the actual resistance determination module is used to determine the actual resistance of the operating machinery during the working process based on the correspondence between the tilt angle and the resistance and the actual tilt angle.

[0095] In this embodiment, the data processing device and the machine travel control device are presented in the form of functional units. Here, a unit refers to an ASIC circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0096] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0097] This invention also provides a computer device having the above-described features. Figure 7 The data processing device shown or Figure 8 The shown is a driving control device for the operating machinery.

[0098] This invention also provides a work-operated machine, including the aforementioned computer equipment. For example, the work-operated machine may be an excavator.

[0099] Please see Figure 9 , Figure 9 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 9As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 9 Take a processor 10 as an example.

[0100] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0101] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0102] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device as shown by a landing page for an app. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, which can be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0103] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0104] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0105] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touchscreen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touchscreen.

[0106] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0107] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A data processing method, characterized in that, The method includes: Obtain fuel consumption curves for engines, etc.; Based on the engine fuel consumption curves, determine the theoretical operating parameters corresponding to each gear. Obtain the theoretical optimal fuel consumption corresponding to each gear; For any gear i, the theoretical working parameters corresponding to gear i are adjusted according to the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, thereby obtaining the actual optimal working parameters corresponding to gear i, and the actual fuel consumption of gear i is taken as the actual optimal fuel consumption of gear i. By iterating through each gear, the actual optimal fuel consumption and the actual optimal operating parameters corresponding to each gear are obtained. Based on the actual optimal fuel consumption and the actual optimal operating parameters corresponding to each gear, the correspondence between gear and actual optimal fuel consumption, and the correspondence between gear and actual optimal operating parameters are obtained.

2. The method according to claim 1, characterized in that, Also includes: Multiple sets of experimental data were acquired, each set of experimental data including the tilt angle detection value between the tire and the horizontal plane, and the resistance detection value corresponding to the tilt angle detection value; The relationship between tilt angle and drag was obtained based on the multiple sets of experimental data.

3. The method according to claim 2, characterized in that, The relationship between tilt angle and drag obtained based on the multiple sets of experimental data includes: Cluster analysis was performed on the multiple sets of experimental data to obtain the correspondence between the tilt angle and the drag.

4. The method according to claim 1, characterized in that: The theoretical operating parameters include theoretical speed and theoretical torque; The actual optimal operating parameters include the actual optimal speed and the actual optimal torque.

5. A method for controlling the movement of construction machinery, characterized in that, The method includes: Obtain the actual resistance of the operating machinery during the current working process; The adjustable gear of the working machine is determined based on the actual resistance. Obtain the correspondence between gear position and actual optimal fuel consumption obtained by the method according to any one of claims 1 to 4, wherein the correspondence between gear position and actual optimal fuel consumption includes multiple gear positions and fuel consumption values ​​corresponding to each gear position. Based on the correspondence between the gear and the actual optimal fuel consumption, the gear with the lowest fuel consumption value is selected from the adjustable gears, and the selected gear with the lowest fuel consumption value is taken as the target gear. Based on the target gear and the correspondence between the gear and the actual optimal working parameters obtained by the method according to any one of claims 1 to 4, the actual working parameters corresponding to the target gear are determined.

6. The method according to claim 5, characterized in that, The actual resistance of the operating machinery during the current working process includes: Obtain the actual tilt angle between the tires and the horizontal plane of the operating machinery during the current working process; The relationship between tilt angle and drag is obtained by: acquiring multiple sets of experimental data, each set of experimental data including the tilt angle detection value of the tire to the horizontal plane and the drag detection value corresponding to the tilt angle detection value; and obtaining the relationship between tilt angle and drag based on the multiple sets of experimental data. The actual resistance of the working machinery during operation is determined based on the correspondence between the tilt angle and the resistance, and the actual tilt angle.

7. A data processing apparatus, characterized in that, The device includes: The first acquisition module is used to acquire fuel consumption curves for engines, etc. The theoretical operating parameter determination module is used to determine the theoretical operating parameters corresponding to each gear based on the engine's fuel consumption curve, etc. The second acquisition module is used to acquire the theoretical optimal fuel consumption corresponding to each gear. The adjustment module is used to adjust the theoretical operating parameters corresponding to any gear i based on the theoretical optimal fuel consumption corresponding to gear i, so that the actual fuel consumption of gear i reaches or approaches the theoretical optimal fuel consumption corresponding to gear i, thereby obtaining the actual optimal operating parameters corresponding to gear i, and taking the actual fuel consumption of gear i as the actual optimal fuel consumption of gear i; it is also used to traverse each gear to obtain the actual optimal fuel consumption and the actual optimal operating parameters corresponding to each gear. The correspondence establishment module is used to obtain the correspondence between gear and actual optimal fuel consumption, and the correspondence between gear and actual optimal operating parameters, based on the actual optimal fuel consumption and the actual optimal operating parameters corresponding to each gear.

8. A working machinery travel control device, characterized in that, The device includes: The third acquisition module is used to acquire the actual resistance of the operating machinery during the current working process; An adjustable gear determination module is used to determine the adjustable gear of the working machine based on the actual resistance. The fourth acquisition module is used to acquire the correspondence between the gear and the actual optimal fuel consumption obtained by the method of any one of claims 1 to 4, wherein the correspondence between the gear and the actual optimal fuel consumption includes multiple gears and fuel consumption values ​​corresponding to each gear. The target gear determination module is used to select the gear with the lowest fuel consumption value from the adjustable gears according to the correspondence between the gear and the actual optimal fuel consumption, and to use the selected gear with the lowest fuel consumption value as the target gear. The actual working parameter determination module is used to determine the actual working parameters corresponding to the target gear based on the target gear and the correspondence between the gear and the actual optimal working parameters obtained by the method described in any one of claims 1 to 4.

9. A computer device, characterized in that, include: A memory and a processor are interconnected, the memory stores computer instructions, and the processor executes the computer instructions to perform the data processing method of any one of claims 1 to 4 or the working machinery driving control method of any one of claims 5 to 6.

10. A type of operating machinery, characterized in that, Includes the computer device as described in claim 9.

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