Roof hydraulic head parameter prediction method and apparatus, device, and storage medium

Abstract

The present application relates to a roof hydraulic head parameter prediction method and apparatus, a device, and a storage medium. The method comprises: acquiring hydrogeological conditions and advancing parameters of a working face to be drained; constructing a first prediction model on the basis of the hydrogeological conditions and the advancing parameters; determining a target advancing distance on the basis of the first prediction model; determining a target peak water inflow quantity on the basis of a preset drainage threshold; and predicting roof hydraulic head parameters on the basis of the target advancing distance and the target peak water inflow quantity. According to the present application, the target peak water inflow quantity of the working face can be precisely predicted before the advancing of the working face, thereby ensuring a basic objective of safe mining of the working face; on the basis that the objective is met, a roof hydraulic head prediction model is constructed to predict and design roof hydraulic head-related parameters; the accuracy and safety of roof hydraulic head parameter prediction and the drainage rationality of the working face are improved to a certain extent, and the effects of a minimum roof water drainage quantity and highest safety are achieved.

Description

A method, device, equipment and storage medium for predicting roof head parameters Technical Field

[0001] The present application relates to the field of mine roof water hazard prevention and control and water resource protection, and specifically to a roof head parameter prediction method, device, equipment and storage medium. Background Art

[0002] The Jurassic coalfields in western my country are a major coal-producing region and face the threat of roof flooding. Therefore, before mining, roof boreholes are typically drilled in underground tunnels to drain water from the roof aquifer, reducing roof water inflow during mining and ensuring safety. Roof head refers to the head of groundwater remaining above the coal seam during mining. In practice, managing roof head is a critical task for safe coal mining. In areas with abundant groundwater, roof head can have a significant impact on coal mining and production safety. Uncertainty in the actual roof head height during drainage can lead to over- and under-drainage. Over-drainage results in high water volumes, extensive drainage work, prolonged drainage time, and high costs, while under-drainage results in low water volumes and reduced mining safety. In short, there is a lack of quantitative criteria for evaluating the rationality of drainage during mining.

[0003] In the relevant technologies, there are few methods involving determining the roof head of the working face based on the maximum peak water inflow of the working face to ensure the rationality of water discharge. Most water discharge methods only require reasonable water discharge based on the geological parameters of the working face. The water discharge method has the following technical problems: based on the statistical characteristics of the measured water inflow data, although the comparative calculation results can reflect the dynamics of water inflow, they can only be used for mines with similar geological and mining engineering conditions, ignoring the hydrogeological and rock mechanics significance indicated by the water inflow change process. At the same time, the comparative process requires a high degree of accumulation of measured data, and similar conditions are a relative concept. Once the analogy elements change, the calculation process using this method lacks a theoretical basis, and the prediction results are no longer reliable.

[0004] Summary of the Invention

[0005] In order to overcome at least one deficiency in the prior art, the present application provides a method, device, equipment and storage medium for predicting top plate water head parameters.

[0006] In a first aspect, a method for predicting roof head parameters is provided, comprising:

[0007] Obtain the hydrogeological conditions and mining parameters of the working face to be drained;

[0008] Based on the hydrogeological conditions and mining parameters, the first prediction model is constructed;

[0009] Determining a target pushing and mining distance based on the first prediction model;

[0010] determining a target peak water inflow based on a preset discharge threshold;

[0011] Based on the target pushing distance and target peak water inflow, the roof head parameters are predicted.

[0012] In one embodiment, determining a target push-and-pick distance based on the first prediction model includes:

[0013] Taking the first-order derivative of the first prediction model to obtain the second prediction model;

[0014] According to the second prediction model, the target pushing and mining distance is obtained.

[0015] In one embodiment, the first prediction model is:

[0016] Among them, Q x The model calculates the water inflow when the working face pushing distance is x, W1 is the initial value of static storage, W2 is the initial value of dynamic recharge, k1 is the static water release attenuation coefficient, k2 is the lateral dynamic recharge growth coefficient, C is the dynamic stable water inflow, H represents the roof head before mining of a given working face, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, α1, β1, and γ1 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W1 of the static reserve, and α2, β2, and γ2 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W2 of the dynamic recharge.

[0017] In one embodiment, determining a target peak water inflow based on a preset water discharge threshold includes:

[0018] Determine the preset displacement threshold as ηQ 排 , where η is the effective drainage coefficient of the drainage system, Q 排 The actual drainage capacity of the working surface to be drained;

[0019] The target peak water inflow is equal to the preset discharge threshold.

[0020] In one embodiment, the roof head parameters are predicted based on the target pushing distance and the target peak water inflow, and are calculated using the following formula:

[0021] Among them, H mis the top water head parameter, α1, β1, γ1 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W1 of the static reserve, α2, β2, γ2 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W2 of the dynamic recharge, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, k1 is the static water release attenuation coefficient, k2 is the lateral dynamic recharge growth coefficient, C is the dynamic stable water inflow, Q m is the target peak water inflow, x m Push the target distance.

[0022] In a second aspect, a device for predicting roof head parameters is provided, comprising:

[0023] Parameter acquisition module, used to obtain the hydrogeological conditions and mining parameters of the working face to be drained;

[0024] A model building module, used to build a first prediction model based on hydrogeological conditions and mining parameters;

[0025] A first determination module is used to determine a target pushing and mining distance based on a first prediction model;

[0026] A second determination module is configured to determine a target peak water inflow based on a preset water discharge threshold;

[0027] The prediction module is used to predict the roof head parameters based on the target pushing distance and target peak water inflow.

[0028] In one embodiment, the first determining module is further configured to:

[0029] Taking the first-order derivative of the first prediction model to obtain the second prediction model;

[0030] According to the second prediction model, the target pushing and mining distance is obtained.

[0031] On the third aspect, a roof head parameter prediction system is provided, including: a terminal, a network and a server; the terminal sends a roof head parameter prediction task to the server through the network, and the server responds to the roof head parameter prediction task initiated by the terminal, executes the above-mentioned roof head parameter prediction method to obtain the roof head parameters, and sends the roof head parameters to the terminal through the network.

[0032] In a fourth aspect, a computer-readable storage medium is provided, storing executable instructions for causing a processor to execute the executable instructions to implement the above-mentioned top plate water head parameter prediction method.

[0033] According to a fifth aspect, an electronic device is provided, including:

[0034] The memory is used to store executable instructions; the processor is used to execute the executable instructions stored in the memory to implement the above-mentioned top plate head parameter prediction method.

[0035] Compared with the existing technology, the present application has the following beneficial effects: the roof head parameter prediction method of the present application can accurately predict the target peak water inflow of the working face before the working face is mined, so as to ensure the basic goal of safe mining of the working face. On the premise of meeting this goal, the roof head prediction model is constructed to predict and design the relevant parameters of the roof head, which improves the accuracy and safety of the roof head parameter prediction and the rationality of the water discharge of the working face to a certain extent. At the same time, it can also achieve the effect of the least and safest roof water discharge. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present application may be better understood by referring to the following description in conjunction with the accompanying drawings, which together with the following detailed description are incorporated into and form a part of this specification. In the drawings:

[0037] FIG1 shows a flowchart of a method for predicting roof head parameters according to an embodiment of the present application;

[0038] FIG2 shows a structural block diagram of a device for predicting top plate water head parameters according to an embodiment of the present application;

[0039] FIG3 shows a schematic diagram of a system for predicting top plate water head parameters according to an embodiment of the present application;

[0040] FIG4 shows a schematic structural diagram of an electronic device for executing a method for predicting top plate water head parameters according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] Exemplary embodiments of the present application are described below with reference to the accompanying drawings. For the sake of clarity and conciseness, not all features of actual embodiments are described in this specification. However, it should be understood that in the process of developing any such actual embodiment, many implementation-specific decisions may be made to achieve the developer's specific goals, and these decisions may vary from one implementation to another.

[0042] It is also necessary to explain here that, in order to avoid obscuring the present application due to unnecessary details, the accompanying drawings only show the device structure closely related to the solution according to the present application, while other details that are not closely related to the present application are omitted.

[0043] It should be understood that the present application is not limited to the described embodiments due to the following description with reference to the accompanying drawings. In this document, where feasible, the embodiments may be combined with each other, features between different embodiments may be replaced or borrowed, and one or more features may be omitted in one embodiment.

[0044] The present invention provides a method for predicting roof head parameters. FIG1 shows a flowchart of the method for predicting roof head parameters according to the present invention. Referring to FIG1 , the method includes:

[0045] Step S1, obtaining the hydrogeological conditions and mining parameters of the working face to be drained.

[0046] Here, the hydrogeological conditions may include the lithology of the coal seam's roof and floor, the development of fractures and structures, and the inclination of the coal seam; among them, the lithology of the coal seam's roof and floor is an important factor in the stability and safety of the coal seam working face, and the properties of the roof and floor rocks will affect the selection of the support and the determination of the support parameters; factors such as the development of fractures and structures will affect the mining method and safety of the coal seam. For example, in areas with faults or fractures, special technical measures need to be taken to ensure the safety of mining; the inclination of the coal seam determines the difficulty of mining the coal seam working face and the choice of coal mining methods.

[0047] The mining parameters include the roof head before mining of the working face to be drained, the height of the water-conducting fracture zone, the unit water yield, the thickness of the aquifer, the mining speed of the working face, and the dynamic stable water yield.

[0048] Step S2: constructing a first prediction model based on hydrogeological conditions and mining parameters.

[0049] Here, the first prediction model may be a coal seam working face water inflow calculation model constructed based on a multi-order dynamic prediction method.

[0050] Step S3: Determine the target pushing and mining distance based on the first prediction model.

[0051] Here, the target pushing distance refers to the location where the maximum water inflow occurs in the coal seam working face, that is, x m In practical applications, each coal seam working face corresponds to a target pushing and mining distance.

[0052] Step S4: determining a target peak water inflow based on a preset water discharge threshold.

[0053] It should be noted that, under given roof head conditions, the actual drainage capacity of the working face depends primarily on the designed drainage capacity. During the design phase, the water inflow from the working face is predicted based on the geological conditions and working face layout, and the drainage system is designed accordingly. The designed drainage capacity is typically no less than 1.5 times the maximum water inflow to ensure timely drainage of accumulated water in the event of maximum water inflow. In other words, the preset drainage threshold represents the upper limit of the effective drainage capacity of the working face while ensuring safe mining.

[0054] Step S5: predicting roof head parameters based on the target pushing distance and target peak water inflow.

[0055] In this embodiment, the hydrogeological conditions and mining parameters of the working face to be drained can be directly obtained; based on the hydrogeological conditions and mining parameters, a first prediction model can be constructed; then, based on the first prediction model, the target mining distance of the working face is determined; then, based on the preset drainage threshold, the target peak water inflow is determined; finally, based on the target peak water inflow and the target mining distance, the roof head parameters are predicted. In this way, the embodiment of the present application can accurately predict the target peak water inflow of the working face before the working face is mined, so as to ensure the basic goal of safe mining of the working face. On the premise of meeting this goal, the relevant parameters of the roof head are predicted and designed by constructing a roof head prediction model, which improves the accuracy and safety of the roof head parameter prediction and the rationality of the drainage of the working face to a certain extent. At the same time, it can also achieve the effect of the minimum and safest drainage of roof water.

[0056] In one embodiment, in step S2, a multi-order dynamic prediction method for water inflow at a working face is used to construct a water inflow calculation model for a coal seam working face, namely, a first prediction model, specifically:

[0057] Among them, Q x The model calculates the water inflow when the working face pushing distance is x, W1 is the initial value of static storage, W2 is the initial value of dynamic recharge, k1 is the static water release attenuation coefficient, k2 is the lateral dynamic recharge growth coefficient, C is the dynamic stable water inflow, H represents the roof head before mining of a given working face, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, α1, β1, and γ1 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W1 of the static reserve, and α2, β2, and γ2 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W2 of the dynamic recharge.

[0058] In one embodiment, in step S3, determining the target pushing and mining distance based on the first prediction model includes:

[0059] Perform a first-order derivative of the first prediction model to obtain the second prediction model, which can be specifically:

[0060] According to the second prediction model, the target pushing distance is obtained. Here, for a certain working face, the value of x can be obtained according to formula (2), that is, the target pushing distance x m .

[0061] In one embodiment, to ensure safe drainage of the working face, the target peak water inflow during the drainage period must be less than or equal to the effective drainage capacity of the working face to be drained, that is, the following conditions must be met: Q m ≤ηQ 排 (3)

[0062] Among them, Q m is the target peak water inflow, Q 排 It represents the actual drainage capacity of the working surface to be drained, and η is the effective drainage coefficient of the drainage system.

[0063] In this embodiment, the preset water discharge threshold is ηQ 排 In order to minimize the amount of water discharged from the roof aquifer, under the premise of ensuring the safe mining of the working face, the target peak water inflow is equal to the preset drainage threshold ηQ 排 .

[0064] In one embodiment, formula (1) is modified to establish H m -Q m The mathematical relationship model is used to calculate the top plate head parameter H m In step S5, based on the target pushing distance and target peak water inflow, the roof head parameters can be predicted using H m -Q m The mathematical relationship model is used for calculation:

[0065] Among them, H m is the top water head parameter, α1, β1, γ1 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W1 of the static reserve, α2, β2, γ2 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W2 of the dynamic recharge, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, k1 is the static water release attenuation coefficient (m 3 / h·1), k2 is the lateral dynamic supply growth coefficient (m 3 / h·1), C is the dynamic stable water inflow, Q m is the target peak water inflow, x m Push the target distance.

[0066] Here, formula (4) can be used to establish a direct quantitative calculation relationship between the drainage capacity of the working face and the safe residual water head of the roof, which helps to optimize the drainage engineering volume of the working face roof, minimize the drainage volume, and improve the drainage efficiency.

[0067] Based on the same inventive concept as the method for predicting roof head parameters, this embodiment also provides a corresponding device for predicting roof head parameters. FIG2 shows a structural block diagram of the device for predicting roof head parameters according to an embodiment of the present application. Referring to FIG2 , the device includes:

[0068] Parameter acquisition module 21, used to obtain the hydrogeological conditions and mining parameters of the working face to be drained;

[0069] A model building module 22 is used to build a first prediction model based on hydrogeological conditions and mining parameters;

[0070] A first determination module 23 is configured to determine a target pushing and mining distance based on a first prediction model;

[0071] A second determination module 24 is configured to determine a target peak water inflow based on a preset water discharge threshold;

[0072] The prediction module 25 is used to predict roof head parameters based on the target pushing distance and the target peak water inflow.

[0073] In one embodiment, the first determining module is further configured to:

[0074] Taking the first-order derivative of the first prediction model to obtain the second prediction model;

[0075] According to the second prediction model, the target pushing and mining distance is obtained.

[0076] It should be noted that the roof head parameter prediction device of this embodiment has the same inventive concept as the roof head parameter prediction method described above. Therefore, the specific implementation of this device can be found in the embodiment of the roof head parameter prediction method described above, and its technical effects correspond to those of the above-mentioned method, and will not be repeated here. For technical details not disclosed in the embodiment of this device, please refer to the description of the embodiment of the method of this application for understanding.

[0077] The embodiment of the present application also provides a roof head parameter prediction system. FIG3 shows a schematic diagram of the roof head parameter prediction system according to the embodiment of the present application. Referring to FIG3 , the system includes: a terminal 100, a network 200, and a server 300; the terminal 100 sends the roof head parameter prediction task to the server 300 via the network 200. The server 300 responds to the roof head parameter prediction task initiated by the terminal 100, executes the roof head parameter prediction method of the aforementioned embodiment to obtain the roof head parameters, and sends the roof head parameters to the terminal 100 via the network 200. The terminal 100 is connected to the server 300 via the network 200. The network 200 can be a wide area network or a local area network, or a combination of the two. The server 300 is a server for the roof head prediction application. The server 300 can constitute the roof head prediction device of the embodiment of the present application.

[0078] The top plate head parameter prediction method provided in the embodiment of the present application can also be based on a cloud platform and implemented through cloud technology. For example, the above-mentioned server 300 can be a cloud server.

[0079] It's important to note that cloud technology refers to a managed technology that unifies hardware, software, and network resources within a wide or local area network (WAN) to enable data computing, storage, processing, and sharing. Cloud technology is a general term for network, information technology, integration technology, management platform technology, and application technology, all based on the cloud computing business model. It can form a resource pool for on-demand, flexible, and convenient use. Cloud computing technology will become a crucial support. Backend services for technical network systems, such as those for video sites, image sites, and more portals, require significant computing and storage resources. With the rapid development and application of the internet industry, every item will likely have its own unique identifier, requiring transmission to backend systems for logical processing. Data of varying levels will be processed separately, and data from all industries will require robust system support, which can only be achieved through cloud computing.

[0080] An embodiment of the present application provides an electronic device, comprising: a memory for storing executable instructions; and a processor for executing the executable instructions stored in the memory to implement the above-mentioned top plate head parameter prediction method.

[0081] FIG4 shows a schematic diagram of the structure of an electronic device for executing a method for predicting top plate water head parameters according to an embodiment of the present application. The electronic device 400 includes at least a processor and a memory, and the processor 401 generally controls the overall operation of the device for predicting top plate water head parameters. The computer-readable storage medium 402 is configured to store instructions and applications executable by the processor 401, and can also cache data to be processed or processed by each module in the processor 401 and the device for predicting top plate water head parameters 400, which can be implemented through flash memory (FLASH) or random access memory (RAM).

[0082] An embodiment of the present application provides a computer-readable storage medium storing executable instructions for causing a processor to execute the executable instructions to implement the above-mentioned method for predicting top plate water head parameters.

[0083] In one embodiment, the storage medium can be a computer-readable storage medium, such as a ferroelectric random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); it can also be various devices including one or any combination of the above memories.

[0084] In one embodiment, executable instructions may be in the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0085] By way of example, executable instructions may, but need not necessarily, correspond to a file in a file system, may be stored as part of a file storing other programs or data, such as one or more scripts in a Hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinating files (e.g., files storing one or more modules, subroutines, or code portions). By way of example, executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one location, or on multiple electronic devices distributed across multiple locations and interconnected by a communication network.

[0086] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0087] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0088] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0089] The above descriptions are merely examples of various embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any modifications or substitutions that can be readily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included within the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for predicting roof head parameters, characterized in that: include: Obtain the hydrogeological conditions and mining parameters of the working face to be drained; Constructing a first prediction model based on the hydrogeological conditions and the mining parameters; Determining a target pushing and mining distance based on the first prediction model; determining a target peak water inflow based on a preset discharge threshold; Based on the target pushing distance and the target peak water inflow, the roof head parameters are predicted.

2. The method according to claim 1, wherein in, Determining a target pushing and mining distance based on the first prediction model includes: Taking a first-order derivative of the first prediction model to obtain a second prediction model; The target pushing and mining distance is obtained according to the second prediction model.

3. The method according to claim 1, wherein The first prediction model is: Among them, Q x The model calculates the water inflow when the working face pushing distance is x, W1 is the initial value of static storage, W2 is the initial value of dynamic recharge, k1 is the static water release attenuation coefficient, k2 is the lateral dynamic recharge growth coefficient, C is the dynamic stable water inflow, H represents the roof head before mining of a given working face, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, α1, β1, γ1 are the correlation coefficients of the various parameters of the multiple linear regression corresponding to the initial value W1 of the static reserve, α2, β2, γ2 are the correlation coefficients of the various parameters of the multiple linear regression corresponding to the initial value W2 of the dynamic recharge coefficient.

4. The method according to claim 1, wherein in, Determine target peak water inflow based on preset discharge thresholds, including: Determine the preset displacement threshold as ηQ 排 , where η is the effective drainage coefficient of the drainage system, Q 排 The actual drainage capacity of the working surface to be drained; The target peak water inflow is equal to the preset water discharge threshold.

5. The method according to claim 1, wherein in, Based on the target pushing distance and the target peak water inflow, the roof head parameters are predicted and calculated using the following formula: Among them, H m is the top water head parameter, α1, β1, γ1 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W1 of the static reserve, α2, β2, γ2 are the correlation coefficients of the multiple linear regression parameters corresponding to the initial value W2 of the dynamic recharge, H f is the maximum height of the water-conducting fracture zone, V is the mining speed of the working face, k1 is the static water release attenuation coefficient, k2 is the lateral dynamic recharge growth coefficient, C is the dynamic stable water inflow, Q m is the target peak water inflow, x m Push the target distance.

6. A device for predicting top plate water head parameters, characterized in that: include: Parameter acquisition module, used to obtain the hydrogeological conditions and mining parameters of the working face to be drained; The model building module is used to build a model based on the hydrogeological conditions and the mining parameters. Build the first prediction model; A first determining module is used to determine a target pushing and mining distance based on the first prediction model; A second determination module is configured to determine a target peak water inflow based on a preset water discharge threshold; The prediction module is used to predict roof head parameters based on the target pushing distance and the target peak water inflow.

7. The device according to claim 6, characterized in that The first determining module is further configured to: Taking a first-order derivative of the first prediction model to obtain a second prediction model; The target pushing and mining distance is obtained according to the second prediction model.

8. A roof head parameter prediction system, characterized in that: include: terminals, networks, and servers; The terminal sends the top plate water head parameter prediction task to the server through the network. The server responds to the top plate water head parameter prediction task initiated by the terminal, executes the top plate water head parameter prediction method described in any one of claims 1-5 to obtain the top plate water head parameters, and sends the top plate water head parameters to the terminal through the network.

9. A computer-readable storage medium, characterized in that Executable instructions are stored, which are used to cause the processor to execute the executable instructions to implement the top plate head parameter prediction method described in any one of claims 1-5.

10. An electronic device, characterized in that: include: a memory for storing executable instructions; A processor configured to execute the executable instructions stored in the memory to achieve the roof water head according to any one of claims 1 to 5. Parameter prediction method.

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