Coal mine automated working face fluid supply planning method, device, electronic equipment and medium

Abstract

The present disclosure proposes a method, device, electronic device and medium for planning fluid supply for an automated working face in a coal mine. The method comprises: obtaining an original fluid supply curve corresponding to the coal mining process of the working face; obtaining at least one original fluid supply process data from a comprehensive mining big data platform; and processing the original fluid supply curve according to at least one original fluid supply process data to obtain a flow prediction curve. Through the present disclosure, the fluid supply effect of the automated working face in a coal mine can be effectively improved, and the practicality of fluid supply for the automated working face in a coal mine can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of coal mine industry, and in particular to a method, device, electronic equipment and medium for planning fluid supply for an automated working face in a coal mine. Background Art

[0002] In the process of industrial coal mining in coal mines, the coal mining machine moves horizontally along the scraper conveyor, and the hydraulic support follows the coal mining machine to move forward frame by frame, while pushing the scraper conveyor track forward; in the process of manual hydraulic support following the machine, the worker manually operates the hydraulic support controller to output the specified action (group) signal of the designated support, and the electro-hydraulic control reversing valve receives the controller signal, controls the on and off of each sub-fluid circuit, and controls the extension and retraction of different cylinders of the hydraulic support to achieve different actions of the hydraulic support; in the process of automatic hydraulic support following the machine, the hydraulic support automatic following system recognizes the position of the coal mining machine in real time, plans the hydraulic support group and its actions within a certain interval, and directly outputs signals to the hydraulic support controller to control the action of the hydraulic support. In these processes, the emulsion pump station is the power source, and continuously supplies fluid to the hydraulic support electro-hydraulic control reversing valve through the fluid supply pipeline (network), and the electro-hydraulic control reversing valve controls the on and off of the sub-fluid circuit to achieve fluid supply to different cylinders of the hydraulic support.

[0003] In the related art, one way is to install a variable frequency motor to drive the emulsion pump station to supply liquid with variable flow rate, so as to achieve efficient flow supply as much as possible. Another way is to install a flow sensor on each bracket to achieve coordinated control of supply and demand flow.

[0004] In the above method, since the coordination between the flow pressure supply and demand and the hydraulic pressure required for the actual working power of the hydraulic support is relatively complex, the fluid supply effect of the coal mine automated working face is poor, affecting the practicality. Summary of the invention

[0005] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0006] To this end, the purpose of the present invention is to propose a method, device, electronic equipment, non-transitory computer-readable storage medium storing computer instructions, and computer program product for planning fluid supply for automated working faces in coal mines, which can effectively improve the fluid supply effect of automated working faces in coal mines and improve the practicality of fluid supply for automated working faces in coal mines.

[0007] The method for fluid supply planning for an automated working face in a coal mine proposed in an embodiment of the first aspect of the present disclosure includes: obtaining an original fluid supply curve corresponding to the working face coal mining process; obtaining at least one original fluid supply process data from a comprehensive mining big data platform; and processing the original fluid supply curve according to the at least one original fluid supply process data to obtain a flow prediction curve.

[0008] The coal mine automated working face fluid supply planning device proposed in the second aspect embodiment of the present disclosure includes: a first acquisition module, used to acquire the original fluid supply curve corresponding to the working face coal mining process; a second acquisition module, used to acquire at least one original fluid supply process data from the comprehensive mining big data platform; and a processing module, used to process the original fluid supply curve according to the at least one original fluid supply process data to obtain a flow prediction curve.

[0009] The electronic device proposed in the third aspect embodiment of the present disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for planning fluid supply for an automated working face in a coal mine proposed in the first aspect embodiment of the present disclosure is implemented.

[0010] The fourth aspect embodiment of the present disclosure proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the coal mine automated working face fluid supply planning method proposed in the first aspect embodiment of the present disclosure.

[0011] The fifth aspect embodiment of the present disclosure proposes a computer program product. When the instructions in the computer program product are executed by a processor, the coal mine automated working face fluid supply planning method proposed in the first aspect embodiment of the present disclosure is executed.

[0012] The method, device, electronic device, non-transitory computer-readable storage medium storing computer instructions and computer program product for fluid supply planning for automated working faces in coal mines provided by the present invention can effectively improve the fluid supply effect of automated working faces in coal mines and improve the practicality of fluid supply for automated working faces in coal mines by acquiring an original fluid supply curve corresponding to the coal mining process of the working face, acquiring at least one original fluid supply process data from a comprehensive mining big data platform, and processing the original fluid supply curve according to the at least one original fluid supply process data to obtain a flow prediction curve.

[0013] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0015] Figure 1 It is a flow chart of a method for planning fluid supply for an automated working face in a coal mine proposed in an embodiment of the present disclosure;

[0016] Figure 2 It is a flow chart of a method for planning fluid supply for an automated working face in a coal mine proposed in another embodiment of the present disclosure;

[0017] Figure 3 It is a flow chart of a method for planning fluid supply for an automated working face in a coal mine proposed in another embodiment of the present disclosure;

[0018] Figure 4 is a schematic diagram of an original flow curve and a flow prediction curve in an embodiment of the present disclosure;

[0019] Figure 5 It is a structural schematic diagram of a coal mine automated working face fluid supply planning device proposed in an embodiment of the present disclosure;

[0020] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0021] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0022] Figure 1 It is a flow chart of a method for planning fluid supply for an automated working face in a coal mine proposed in an embodiment of the present disclosure.

[0023] In this embodiment, the method for planning the liquid supply of an automated working face in a coal mine is configured as a device for planning the liquid supply of an automated working face in a coal mine. In this embodiment, the method for planning the liquid supply of an automated working face in a coal mine can be configured in the device for planning the liquid supply of an automated working face in a coal mine. The device for planning the liquid supply of an automated working face in a coal mine can be set in a server, or can also be set in a terminal device, without limitation. In this embodiment, the method for planning the liquid supply of an automated working face in a coal mine is configured in a terminal device as an example. Among them, the terminal device is a hardware device with various operating systems, such as a smart phone, a tablet computer, a personal digital assistant, an e-book, etc.

[0024] It should be noted that the execution subject of the embodiment of the present disclosure may be, for example, a central processing unit (CPU) in a server or terminal device in terms of hardware, or may be, for example, a related background service in a server or terminal device in terms of software, without limitation.

[0025] The automated working face in the disclosed embodiment is equipped with a complete integrated fluid supply system, a support electro-hydraulic control system, a comprehensive mining automation system and other automated control carriers. The hydraulic support follows the machine in a normal manner, and the coal mining machine adopts a control method with higher stability (mainly speed stability) such as planned cutting or memory cutting. The integrated fluid supply system has a fluid supply flow monitoring function.

[0026] like Figure 1 As shown, the coal mine automated working face fluid supply planning method comprises:

[0027] S101: Obtaining an original fluid supply curve corresponding to the coal mining process of the working face.

[0028] The original liquid supply curve refers to a function curve used as a reference for the liquid supply flow rate. The original liquid supply curve may include several optional liquid supply flow rates, or may also include any other possible liquid supply parameters for determining the liquid supply flow rate, without limitation.

[0029] In the disclosed embodiment, the working face coal mining process can be dynamically monitored, and the original liquid supply curve corresponding to the working face coal mining process can be determined, wherein the original liquid supply curve can be a real-time flow curve collected by an integrated liquid supply flow sensor, including two independent sets of data on emulsion and clean water liquid supply.

[0030] In the disclosed embodiment, the original fluid supply curve may include: an initial fluid supply flow rate corresponding to each hydraulic support automatic control logic interval, wherein the number of hydraulic support automatic control logic intervals may be one or more, and may be pre-divided according to the working face coal mining process.

[0031] For example, the interval division of the hydraulic support automatic control logic is related to the actual working face coal mining process. Each working face is different. The automatic action speed of the coal mining machine is relatively stable, the hydraulic support control logic is stable, and its interval division is stable. Furthermore, the amount of liquid used in a specific interval is relatively regular and stable. In the disclosed embodiment, its liquid supply planning can be considered from the entire coal mining process, that is, the same hydraulic support automatic control logic interval has a relatively stable flow prediction curve, reducing the influence of pump station variable frequency control and time lag. The interval division of the liquid supply interval and the hydraulic support control logic can be inconsistent, and certain items can be combined and split.

[0032] For example, according to the typical coal mining process, the automatic control logic interval of the hydraulic support can be the head interval, the head floating coal interval 1, the head triangular coal interval, the head floating coal interval 2, the middle interval, the tail interval, the tail floating coal interval 1, the tail triangular coal interval, the tail floating coal interval 2, the tail floating coal interval, and so on.

[0033] Correspondingly, the original fluid supply curve may include: an initial fluid supply flow rate corresponding to each of the above hydraulic support automatic control logic intervals.

[0034] In the embodiment of the present disclosure, obtaining the original fluid supply curve corresponding to the coal mining process of the working face can be performed by determining multiple hydraulic support automatic control logic intervals, and obtaining information related to the system fluid supply flow from the integrated fluid supply system, as well as determining the initial fluid supply flow corresponding to each hydraulic support automatic control logic interval based on the information related to the system fluid supply flow, and forming an original fluid supply curve based on multiple initial fluid supply flows, thereby forming an adapted original fluid supply curve, which effectively improves the convenience and accuracy of fluid supply planning for the automated working face of coal mines.

[0035] For example, in a non-fluid supply planning scenario, the automatic action of the coal mining machine can be used to obtain multi-point pressure and flow information of the working face integrated fluid supply system and pipeline system (which can be called information related to the system fluid supply flow), and based on the dimension of the hydraulic support automatic control logic interval, the multi-point pressure and flow information of the working face integrated fluid supply system and pipeline system is divided, and the initial fluid supply flow corresponding to each hydraulic support automatic control logic interval is fitted according to the divided information, and then, the original fluid supply curve segment corresponding to each hydraulic support automatic control logic interval is formed, and the original fluid supply curve is formed according to multiple original fluid supply curve segments.

[0036] S102: Obtain at least one kind of original fluid supply process data from the comprehensive mining big data platform.

[0037] After obtaining the original fluid supply curve corresponding to the coal mining process of the working face, at least one original fluid supply process data can be obtained from the comprehensive mining big data platform.

[0038] Among them, the comprehensive mining control center is the centralized control center of the comprehensive mining working face. It is the center for integrated comprehensive mining equipment control or upper-level control, status monitoring and display, and data storage and processing.

[0039] Among them, the comprehensive mining big data platform is a platform for comprehensive mining equipment and sensor data processing, and at least one kind of original liquid supply process data can be obtained from the comprehensive mining big data platform.

[0040] Among them, the original fluid supply process data includes but is not limited to: ① multi-point pressure and flow information of the integrated fluid supply system and pipeline system of the working face; ② basic information, working status, and control status information of comprehensive mining equipment (including but not limited to coal mining machines, hydraulic supports, and emulsion pumping stations); ③ dynamic geological condition information.

[0041] In the disclosed embodiment, the original fluid supply process data includes at least one of the following: historical fluid supply curve; pump station equipment status and frequency conversion control data; action commands of each hydraulic support; along-process and fluid supply pressure; coal mining machine position and speed; hydraulic support automatic following logic and interval division data; interval geological status, thereby effectively improving the comprehensive coverage of the original fluid supply process data. When the original fluid supply curve is processed based on the original fluid supply process data to obtain a flow prediction curve, the processing accuracy can be effectively improved.

[0042] S103: Processing an original liquid supply curve according to at least one original liquid supply process data to obtain a flow prediction curve.

[0043] After obtaining the original fluid supply curve corresponding to the coal mining process of the working face and obtaining at least one original fluid supply process data from the comprehensive mining big data platform, the original fluid supply curve can be processed according to at least one original fluid supply process data to obtain a flow prediction curve.

[0044] For example, the original liquid supply curve can be corrected according to at least one original liquid supply process data, and the corrected liquid supply curve can be used as the flow prediction curve. Alternatively, the original liquid supply curve can be processed according to at least one original liquid supply process data based on any other possible method to obtain the flow prediction curve, and there is no limitation to this.

[0045] In this embodiment, by obtaining the original fluid supply curve corresponding to the coal mining process of the working face, obtaining at least one original fluid supply process data from the comprehensive mining big data platform, and processing the original fluid supply curve according to at least one original fluid supply process data, a flow prediction curve is obtained, which can effectively improve the fluid supply effect of the automated working face of the coal mine and improve the practicality of the fluid supply of the automated working face of the coal mine.

[0046] Figure 2 It is a flow chart of a method for planning fluid supply for an automated working face in a coal mine proposed in another embodiment of the present disclosure.

[0047] like Figure 2 As shown, the coal mine automated working face fluid supply planning method comprises:

[0048] S201: Acquire an original fluid supply curve corresponding to the coal mining process of the working face, wherein the original fluid supply curve includes: an initial fluid supply flow corresponding to each hydraulic support automatic control logic interval.

[0049] In the disclosed embodiment, each coal mining cycle can be taken as a planning cycle, that is, "head-tail-head" or "tail-head-tail". In some working conditions, it is not excluded that "head-tail" and "tail-head" each form a planning cycle, and then the position of the coal mining machine (the hydraulic support frame number where the coal mining machine is located) is used as the interval division point, and the real-time position of the coal mining machine (the hydraulic support frame number where the coal mining machine is located during operation) is used as the end and start activation method of each interval, as well as the activation method of each curve correction point, that is, the present disclosure uses the position of the coal mining machine (the hydraulic support frame number where the coal mining machine is located) as the horizontal coordinate. Since the speed of the coal mining machine is constantly changing, the actual duration of each interval of each coal mining cycle is not consistent. When the coal mining machine is powered off, the liquid supply planning ends and is reduced to the set flow rate (adjustable parameter) for operation. If the coal mining machine has not recovered within a period of operation (adjustable parameter), a prompt will pop up to ask whether to turn off the pump manually.

[0050] S202: Obtain at least one kind of original fluid supply process data from the comprehensive mining big data platform.

[0051] For the description of S201 - S202 , please refer to the above embodiment, which will not be repeated here.

[0052] S203: Determine a fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval according to at least one original fluid supply process data and an initial fluid supply flow.

[0053] The liquid supply flow adjustment value is used to adjust the initial liquid supply flow corresponding to the corresponding hydraulic support automatic control logic interval in the original liquid supply curve, and the adjusted flow value can be called the target flow value.

[0054] In the embodiment of the present disclosure, when executing the step of determining the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval based on at least one original fluid supply process data and the initial fluid supply flow, at least one original fluid supply process data and the initial fluid supply flow can be input into the flow prediction model, and the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval output by the flow prediction model is obtained, wherein the flow prediction model has learned the mapping relationship between at least one original fluid supply process data, the initial fluid supply flow, and the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval, thereby effectively improving the determination accuracy and efficiency of the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval.

[0055] For example, the flow prediction model can be used to process the working status and control status information of the comprehensive mining equipment, as well as the initial fluid supply flow corresponding to each hydraulic support automatic control logic interval, to obtain the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval. The flow adjustment value can be used to correct the original fluid supply curve to obtain the flow prediction curve.

[0056] S204: adjusting the initial fluid supply flow rate corresponding to the corresponding hydraulic support automatic control logic interval according to the fluid supply flow rate adjustment value to obtain a target fluid supply flow rate.

[0057] S205: Generate a flow prediction curve according to a plurality of target fluid supply flow rates corresponding to a plurality of hydraulic support automatic control logic intervals.

[0058] In the disclosed embodiment, the above-mentioned flow prediction model can also adjust the initial liquid supply flow corresponding to the corresponding hydraulic support automatic control logic interval according to the liquid supply flow adjustment value to obtain the target liquid supply flow.

[0059] In the disclosed embodiment, in the above-mentioned flow prediction model, the weight parameters and self-correction coefficients of each item of original liquid supply data can be manually set parameters, and initially have default parameters. In the process of processing the original liquid supply data, the function of manually modifying the curve is retained. For example, in the process of liquid supply planning, automatic fine-tuning can be performed based on the real-time collected liquid supply process data, and there is no restriction on this.

[0060] For example, the flow prediction model can also include a data extraction module, a data processing module, a curve generation module and a loop update module: (1) a data extraction module, which is used to extract the original fluid supply curve and send the flow prediction curve to the integrated fluid supply control system; (2) a data processing module, which can be used to reduce noise, clean and inspect the comprehensive mining face data; convert the pre-processed comprehensive mining face data into a data format, and perform flow parameter weighting to obtain weighted data information; (3) a curve generation module, which generates a continuous flow prediction curve based on data processing; (4) a curve update module, which is used to obtain the flow prediction curve and send the flow prediction curve to the integrated fluid supply control system to control the coal mining machine to perform coal mining operations, without any restrictions.

[0061] The flow prediction curve in the embodiment of the present disclosure has the following characteristics:

[0062] (1) Interval. Different liquid supply intervals have different flow prediction curves. Different flow prediction curves have different dynamic adjustment input information and adjustment thresholds. The interval division applies the hydraulic support automatic control logic. For example: ① The frame moving action in the middle interval is relatively even, and the liquid consumption is relatively consistent. The action cycle is fixed, and the liquid consumption per unit time is relatively consistent. At this time, the flow prediction curve is stable and has small fluctuations; ② In the tail (head) floating coal cleaning interval, the support action is less, and generally does not perform lowering, moving and raising actions with a large amount of liquid. At this time, the emulsion pump can be adjusted to a single unit or variable frequency low flow state.

[0063] (2) Dynamic adjustability. It can make real-time adjustments based on the big data information of comprehensive mining. For example: ① Adjustment of the speed of the coal machine in the middle section (the relevant data are the speed of the coal machine, the position of the coal machine, and the action instructions of the support): when the speed of the coal machine increases, the flow prediction curve is adjusted up; when the speed of the coal machine decreases, the flow prediction curve is adjusted down; when the coal machine stops, it is adjusted to the lowest liquid supply state, and a pop-up window is displayed to ask whether to turn off the pump. ② Adjustment of the system pressure in the middle section (the relevant data are the outlet pressure of the high-pressure filter station, the head and tail pressure of the working face, and the pressure along the way). When the pressure in this section is always lower than a certain parameter value, the flow prediction curve is adjusted up to increase the liquid supply; ③ In the head and tail and triangular coal sections, generally no actions with large liquid consumption such as support lowering, moving and raising occur, and generally a single pump or minimum liquid supply condition is implemented; ④ For abnormal reduction of pressure monitoring along the way or liquid supply pressure (outlet pressure of the high-pressure filter station), a pop-up window is displayed to prompt pipeline abnormality, and the automation operator is warned. ⑤ For areas with abnormal geological conditions, the flow prediction curve is adjusted up to ensure the completion of the support action.

[0064] (3) Iteration: Using an iterative algorithm, the traffic prediction model is updated in real time using weighted data information to obtain an updated traffic prediction curve.

[0065] (4) Editability: The flow prediction model is editable, and the parameters, weights and data processing methods can be adjusted according to the actual working conditions of the working surface. The flow prediction curve is editable and can be manually adjusted within the upper limit range. At the same time, local intervention can be carried out in real time during the liquid supply, including switching to manual control.

[0066] (5) Stability within the interval. The flow rate should be stable within the interval, and the flow rate change should not exceed 10% / min to avoid excessive changes affecting the frequency conversion and start and stop of the pump station, and take into account the response hysteresis caused by the system capacitance. The curve within the interval is not necessarily a pure straight line, but should be a smooth curve that is flexible and variable but maintains overall stability.

[0067] like Figure 3 As shown, Figure 3 FIG. 1 is a flow chart of a method for planning fluid supply for an automated working face in a coal mine according to another embodiment of the present disclosure. Figure 4 As shown, Figure 4Schematic diagram of the original flow curve and the flow prediction curve in the embodiment of the present disclosure. The original flow curve can also be called the actual flow curve.

[0068] S206: Send the flow prediction curve to the integrated liquid supply control system, wherein the liquid supply control system starts and stops the emulsion pump station and performs frequency conversion control and controls related pipeline control components based on the flow prediction curve to adjust the liquid supply flow of the coal mine automation working face.

[0069] After the flow prediction curve is generated as described above, the flow prediction curve can be sent to the integrated liquid supply system control center. For example, the flow prediction curve can be converted into a data string recognizable by the integrated liquid supply system (pump station) and then transmitted to the integrated liquid supply system control center.

[0070] Therefore, in the disclosed embodiments, it is achieved that in the automated working face, information related to the system flow is extracted from the integrated liquid supply system, the original liquid supply curve in the working face coal mining process is generated, and the original liquid supply curve is sent to the comprehensive mining control center; the comprehensive mining control center has a comprehensive mining big data platform, which processes and updates the original liquid supply curve through data fusion to form a flow prediction model based on the position drive of the coal mining machine, and sends the updated flow prediction curve to the integrated liquid supply control system to control the start and stop of the emulsion pump station and the frequency conversion control, as well as other related pipeline control components.

[0071] In this embodiment, the effect of fluid supply in the automated working face of coal mines can be effectively improved, and the practicality of fluid supply in the automated working face of coal mines can be improved. The accuracy and efficiency of determining the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval can be effectively improved. It has strong practicality, with the original fluid supply curve as the core, and the fluid supply flow is adjusted in a targeted manner according to the process node division intervals of coal mining. It can also take into account the fluid supply time lag and the pump station loading time lag to achieve targeted improvement, and can also feedback update and iteratively optimize the flow prediction curve, thereby comprehensively improving the fluid supply planning effect of the automated working face of coal mines.

[0072] Figure 5 It is a structural schematic diagram of a coal mine automated working face fluid supply planning device proposed in one embodiment of the present disclosure.

[0073] like Figure 5 As shown, the coal mine automated working face fluid supply planning device 50 comprises:

[0074] The first acquisition module 501 is used to acquire an original fluid supply curve corresponding to the coal mining process of the working face.

[0075] The second acquisition module 502 is used to acquire at least one original liquid supply process data from the comprehensive mining big data platform.

[0076] The processing module 503 is used to process the original liquid supply curve according to at least one original liquid supply process data to obtain a flow prediction curve.

[0077] It should be noted that the aforementioned explanation of the coal mine automated working face fluid supply planning method is also applicable to the coal mine automated working face fluid supply planning device of this embodiment, and will not be repeated here.

[0078] In this embodiment, by obtaining the original fluid supply curve corresponding to the coal mining process of the working face, obtaining at least one original fluid supply process data from the comprehensive mining big data platform, and processing the original fluid supply curve according to at least one original fluid supply process data, a flow prediction curve is obtained, which can effectively improve the fluid supply effect of the automated working face of the coal mine and improve the practicality of the fluid supply of the automated working face of the coal mine.

[0079] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Figure 6 The electronic device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0080] like Figure 6 As shown, the electronic device 12 is in the form of a general purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0081] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.

[0082] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0083] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 Not shown, often called a "hard drive").

[0084] although Figure 6 Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.

[0085] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.

[0086] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable the human body to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the electronic device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0087] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the coal mine automated working face fluid supply planning method mentioned in the above embodiment.

[0088] In order to implement the above embodiments, the present disclosure also proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the coal mine automated working face fluid supply planning method proposed in the aforementioned embodiments of the present disclosure.

[0089] In order to implement the above embodiments, the present disclosure also proposes a computer program product. When the instructions in the computer program product are executed by a processor, the method for planning fluid supply for an automated working face in a coal mine proposed in the above embodiments of the present disclosure is executed.

[0090] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0091] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0092] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0093] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0094] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0095] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0096] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0097] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for planning fluid supply for an automated working face in a coal mine, characterized in that: The method comprises: Acquire an original fluid supply curve corresponding to the coal mining process of the working face, wherein the original fluid supply curve includes an initial fluid supply flow rate corresponding to each hydraulic support automatic control logic interval; At least one original fluid supply process data is obtained from the comprehensive mining big data platform, and the original fluid supply process data includes at least one of the following: historical fluid supply curve; pump station equipment status and frequency conversion control data; action commands of each hydraulic support; along-line and fluid supply pressure; coal mining machine position and speed; hydraulic support automatic follow-up logic and interval division data; interval geological status; and The original liquid supply curve is processed according to the at least one original liquid supply process data to obtain a flow prediction curve.

2. The method according to claim 1, characterized in that The step of processing the original liquid supply curve according to the at least one original liquid supply process data to obtain a flow prediction curve comprises: Determine a fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval according to the at least one original fluid supply process data and the initial fluid supply flow; According to the liquid supply flow adjustment value, the initial liquid supply flow corresponding to the corresponding hydraulic support automatic control logic interval is adjusted to obtain a target liquid supply flow; A flow prediction curve is generated according to the multiple target fluid supply flow rates corresponding to the multiple hydraulic support automatic control logic intervals.

3. The method according to claim 2, characterized in that The obtaining of the original fluid supply curve corresponding to the coal mining process of the working face includes: Determine the automatic control logic intervals of multiple hydraulic supports; Obtain information related to the system fluid supply flow from the integrated fluid supply system; Determine the initial fluid supply flow rate corresponding to each hydraulic support automatic control logic interval according to the fluid supply flow rate related information of the system; The original liquid supply curve is formed according to the multiple initial liquid supply flow rates.

4. The method according to claim 2, characterized in that The step of determining the liquid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval according to the at least one original liquid supply process data and the initial liquid supply flow includes: Inputting the at least one original liquid supply process data and the initial liquid supply flow rate into a flow prediction model, and obtaining a liquid supply flow rate adjustment value corresponding to each hydraulic support automatic control logic interval output by the flow prediction model; The flow prediction model has learned the mapping relationship between the at least one original fluid supply process data, the initial fluid supply flow, and the fluid supply flow adjustment value corresponding to each hydraulic support automatic control logic interval.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: The flow prediction curve is sent to an integrated liquid supply control system, wherein the liquid supply control system starts and stops the emulsion pump station and performs frequency conversion control and controls related pipeline control components based on the flow prediction curve to adjust the liquid supply flow of the coal mine automation working face.

6. A coal mine automated working face fluid supply planning device, characterized in that: The device comprises: A first acquisition module is used to acquire an original fluid supply curve corresponding to the coal mining process of the working face, wherein the original fluid supply curve includes an initial fluid supply flow rate corresponding to each hydraulic support automatic control logic interval; The second acquisition module is used to acquire at least one original fluid supply process data from the comprehensive mining big data platform, wherein the original fluid supply process data includes at least one of the following: historical fluid supply curve; pump station equipment status and frequency conversion control data; action commands of each hydraulic support; along-line and fluid supply pressure; coal mining machine position and speed; hydraulic support automatic follow-up logic and interval division data; interval geological status; and A processing module is used to process the original liquid supply curve according to the at least one original liquid supply process data to obtain a flow prediction curve.

7. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 5.

9. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 5.

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