Coal-water cooperative control method and coal-water cooperative control device based on water quantitative control

Abstract

The invention provides a coal-water cooperative control method and a coal-water cooperative control device based on water quantitative control. The method comprises the following steps: acquiring water volume data in a coal production process in real time; the water volume data are input into a control strategy model, the water volume data and a preset control rule are analyzed and processed through the control strategy model, a control instruction is generated, the control strategy model is a mathematical model constructed according to training data and a control algorithm, the training data at least comprise sample water volume data and a corresponding sample control instruction, and the sample control instruction is a preset control instruction; the control instruction is used for adjusting the water-coal proportion in the coal production process; a corresponding actuator is adjusted according to the control instruction so as to dispatch and distribute water resources in the coal production process, and the actuator at least comprises a water pump and a valve. The problem that the utilization rate of water resources is low due to the fact that real-time response to water quantity changes in the coal production process is lacked in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal-water coordination, and in particular to a coal-water coordinated control method based on water quantitative control, a coal-water coordinated control device based on water quantitative control, a computer-readable storage medium and a computer program product. Background Art

[0002] With the continuous growth of global demand for energy, coal, as one of the main energy sources, has attracted widespread attention for water resource issues in its mining and utilization. The coal industry faces huge challenges in water resource utilization and protection. In the process of coal mining, the demand and consumption of water resources are huge. At the same time, the wastewater generated has a serious impact on the environment. In addition, there is a general shortage of water resources in coal-producing areas, and the contradiction between coal and water is becoming increasingly prominent. Summary of the invention

[0003] The main purpose of the present application is to provide a coal-water coordinated control method based on water quantitative control, a coal-water coordinated control device based on water quantitative control, a computer-readable storage medium and a computer program product, so as to at least solve the problem in the prior art of lacking real-time response to changes in water volume in the coal production process, which leads to low utilization of water resources.

[0004] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a coal-water coordinated control method based on water quantity control is provided, including: acquiring water quantity data in the coal production process in real time; inputting the water quantity data into a control strategy model, so as to use the control strategy model to analyze and process the water quantity data and preset control rules to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water quantity data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process; adjusting the corresponding actuator according to the control instruction to schedule and allocate water resources in the coal production process, and the actuator includes at least a water pump and a valve.

[0005] Optionally, the control strategy model includes a prediction sub-model, an optimization sub-model and a control sub-model, and the water volume data is input into the control strategy model so as to use the control strategy model to analyze and process the water volume data and preset control rules to generate control instructions, including: inputting the water volume data into the prediction sub-model in the control strategy model so as to use the prediction sub-model to predict the changing trend of water consumption in the coal production process and output a prediction result; at least inputting the prediction result and production demand into the optimization sub-model in the control strategy model so as to use the optimization sub-model in combination with the preset control rules to optimize the current water resource allocation plan to obtain a target water resource allocation plan, wherein the production demand includes the demand for the water resources in the coal production process; and using the control sub-model to analyze the target water resource allocation plan to generate the control instruction.

[0006] Optionally, before at least inputting the prediction results and production demands into the optimization sub-model in the control strategy model to optimize the current water resource allocation plan using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, the method further includes: obtaining the demand for water resources in each production link in the coal production process, the production links including at least coal mining, coal washing, transportation and production; and determining the production demand for water resources in the coal production process based on the sum of all the demands.

[0007] Optionally, at least the prediction results and production needs are input into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, including: a control step, controlling the optimization sub-model to optimize the current water resource allocation plan according to the prediction results and the production needs under the conditions of the preset control rules by a mathematical optimization method to calculate the optimal water resource allocation plan, and obtain the current optimal water resource allocation plan, wherein the preset control rules at least include the valve opening and closing degree of the actuator, the water resource supply speed and the water volume upper limit of the water resource; a comparison step, comparing the actual water resource situation in the coal production process with the current optimal water resource situation. The predicted water resource results corresponding to the source allocation scheme are compared to evaluate the current optimal water resource allocation scheme to obtain an evaluation result, wherein the evaluation result is that the current optimal water resource allocation scheme is not the optimal scheme or the current optimal water resource allocation scheme is the optimal scheme; when the evaluation result is that the current optimal water resource allocation scheme is not the optimal scheme, the control step and the comparison step are repeated at least once in sequence to adjust and optimize the current optimal water resource allocation scheme until the evaluation result is that the current optimal water resource allocation scheme is the optimal scheme; when the evaluation result is that the current optimal water resource allocation scheme is the optimal scheme, the current optimal water resource allocation scheme is determined as the target water resource allocation scheme.

[0008] Optionally, at least the prediction results and production demands are input into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, and further comprising: acquiring water quality data in the coal production process in real time; monitoring and analyzing the water quality data in real time to obtain the current water resource quality; inputting the prediction results, the production demands and the current water resource quality into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model based on the prediction results, the production demands and the current water resource quality in combination with the preset control rules to obtain a target water resource allocation plan.

[0009] Optionally, before inputting the water volume data into the control strategy model so as to use the control strategy model to analyze and process the water volume data and preset control rules to generate control instructions, the method also includes: obtaining historical water volume data, wherein the historical water volume data is the water volume data in the coal production process within a historical time period; performing structural optimization and parameter optimization on the control strategy model according to the real-time water volume data and the historical water volume data to optimize the control strategy model, wherein the structural optimization is to optimize the structure of each model layer in the control strategy model, and the parameter optimization is to adjust and optimize the numerical value of each parameter in the control strategy model, wherein the model layer includes at least an input layer and an output layer, and the parameters include at least a learning rate and a weight.

[0010] Optionally, adjusting the corresponding actuator according to the control instruction includes: monitoring the real-time action state of the actuator; comparing the real-time action state with the control instruction; when the real-time action state is inconsistent with the control instruction, correcting the action state of the actuator to make the real-time action state consistent with the control instruction; when the real-time action state is consistent with the control instruction, continuing to adjust the actuator according to the control instruction.

[0011] According to another aspect of the present application, a coal-water coordinated control device based on water quantity control is provided, and the device includes: a first acquisition unit, used to acquire water quantity data in a coal production process in real time; a generation unit, used to input the water quantity data into a control strategy model, so as to use the control strategy model to analyze and process the water quantity data and preset control rules to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water quantity data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process; an adjustment unit, used to adjust the corresponding actuator according to the control instruction, so as to schedule and allocate water resources in the coal production process, and the actuator includes at least a water pump and a valve.

[0012] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0013] According to another aspect of the present application, a computer program product is provided, comprising computer instructions, wherein when the computer instructions are executed by a processor, any one of the methods described above is implemented.

[0014] Applying the technical solution of the present application, in the coal-water coordinated control method based on water quantitative control, first, the water volume data in the coal production process is obtained in real time; then, the water volume data is input into the control strategy model, so as to use the control strategy model to analyze and process the water volume data and the preset control rules, and generate control instructions, the control strategy model is a mathematical model constructed according to the training data and the control algorithm, the training data at least includes sample water volume data and corresponding sample control instructions, the control instructions are used to adjust the water-coal ratio in the coal production process; finally, according to the control instructions, the corresponding actuator is adjusted to dispatch and allocate the water resources in the coal production process, and the actuator includes at least a water pump and a valve. The present application collects the water volume data in the coal production process in real time, inputs the water volume data into the control strategy model, calculates the optimal water resource allocation plan through the model, and generates the corresponding control instructions; the optimal water resource allocation plan and the corresponding control instructions are transmitted to the actuator, and the actuator is controlled to realize the real-time regulation of water resources according to the control instructions. The present application solves the problem that the prior art lacks real-time response to the water volume changes in the coal production process, resulting in low utilization of water resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A hardware structure block diagram of a mobile terminal for executing a coal-water coordinated control method based on water quantitative control provided in an embodiment of the present application is shown;

[0016] Figure 2 A schematic flow chart of a coal-water coordinated control method based on water quantitative control provided in accordance with an embodiment of the present application is shown;

[0017] Figure 3 A schematic diagram of the structure of a water quantitative control system for coordinated control of coal and water provided according to an embodiment of the present application is shown;

[0018] Figure 4 A structural block diagram of a coal-water coordinated control device based on water quantitative control provided according to an embodiment of the present application is shown.

[0019] The above drawings include the following reference numerals:

[0020] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] As introduced in the background technology, in the prior art, the demand and consumption of water resources in the coal mining process are huge, and the wastewater generated has a serious impact on the environment. In addition, there is a general shortage of water resources in coal producing areas, and the contradiction between coal and water is becoming increasingly prominent. In order to solve the problem that the prior art lacks real-time response to changes in water volume in the coal production process, which leads to low utilization of water resources, the embodiments of the present application provide a coal-water coordinated control method based on water quantitative control, a coal-water coordinated control device based on water quantitative control, a computer-readable storage medium and a computer program product.

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal of a coal-water coordinated control method based on water quantitative control according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the coal-water coordinated control method based on water quantitative control in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a coal-water coordinated control method based on water quantitative control is provided, which runs on a mobile terminal, a computer terminal or a similar computing device. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0029] Figure 2 : is a flow chart of a coal-water coordinated control method based on water quantitative control according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0030] Step S201, obtaining water volume data in the coal production process in real time.

[0031] Specifically, sensors are used to collect water volume data in the coal production process in real time. A data acquisition and processing system is used to convert the raw data into a format that can be used for calculations. Sensors are installed on water pipes. These sensors can monitor water flow, water pressure and other data in real time, and transmit the data to the data acquisition system for processing and storage.

[0032] It should also be noted that if Figure 3 As shown, the coal-water coordinated control system includes a communication module, a control module, a sensor module and an execution module, and the communication module, the control module, the sensor module and the execution module are electrically connected to each other. The communication module is responsible for realizing data transmission and communication between the various parts of the coal-water coordinated control water quantitative control system; through the communication module, the control module, the sensor module and the execution module can exchange data in real time to ensure the coordinated work and efficient operation of the control system; the communication module can also upload the operating status and data of the system to the superior management system for remote monitoring and scheduling. The control module is the core of the coal-water coordinated control water quantitative control system, which is responsible for receiving data collected by the sensor and making decisions according to the preset control algorithm; the control module analyzes the real-time data of the water volume in the coal production process through the controller, automatically adjusts the action of the execution module, and realizes precise control of water resources; the control module can also adjust the control strategy according to the actual situation to adapt to the changes in the coal production process. The sensor module plays an important role in the water quantitative control system for coordinated control of coal and water. It is responsible for monitoring key parameters such as water quantity and water quality in the coal production process. The sensor module collects data in real time through liquid level sensors and water quality sensors. The control module can accurately understand the status of water resources in the current coal production process and provide strong support for decision-making. The sensors in the sensor module can also detect the action status of the execution module to ensure the normal operation of the control system. The execution module is the execution unit of the water quantitative control system for coordinated control of coal and water. It is used through the controller and is responsible for performing specific operations according to the decisions of the controller. The actuator can adjust water pumps, valves and other equipment according to the instructions of the controller to achieve the reasonable allocation and scheduling of water resources. The precise action of the actuator is the key to achieving efficient use of water resources and is crucial to the entire control system.

[0033] Step S202: input the water volume data into the control strategy model, and utilize the control strategy model to analyze and process the water volume data and preset control rules to generate control instructions. The control strategy model is a mathematical model constructed based on training data and a control algorithm. The training data at least includes sample water volume data and corresponding sample control instructions. The control instructions are used to adjust the water-coal ratio in the coal production process.

[0034] Specifically, the water volume data is input into the control strategy model, and the data can be analyzed and processed using a mathematical model constructed by machine learning or control algorithms. Through the learning and optimization of the model, control instructions suitable for the current coal production process can be generated to adjust the water-coal ratio and achieve effective utilization and conservation of water resources. The control strategy model needs to be constructed based on historical training data and control algorithms to ensure the accuracy and reliability of the model. At the same time, the control strategy model constructed by machine learning and control algorithms can continuously optimize control instructions, improve the intelligence and adaptability of the system, and further improve production efficiency and save resources.

[0035] Step S203, adjusting the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, the actuator at least including a water pump and a valve.

[0036] Specifically, according to the generated control instructions, the actuators are adjusted to dispatch and allocate water resources. Water pumps and valves are commonly used actuators, and water resources can be regulated by controlling the flow rate of the water pump and the opening and closing degree of the valve. By real-time monitoring of water volume data and adjusting the actuators, the water-coal ratio in the coal production process can be kept within an appropriate range, improving production efficiency and saving water resources. Real-time monitoring and control of water resources in the coal production process can be achieved, thereby achieving precise adjustment of the water-coal ratio, improving production efficiency and saving water resources.

[0037] In this embodiment, first, the water volume data in the coal production process is obtained in real time; then, the water volume data is input into the control strategy model, so as to use the control strategy model to analyze and process the water volume data and the preset control rules to generate control instructions. The control strategy model is a mathematical model constructed according to training data and control algorithm. The training data at least includes sample water volume data and corresponding sample control instructions. The control instructions are used to adjust the water-coal ratio in the coal production process; finally, the corresponding actuator is adjusted according to the control instructions to dispatch and allocate water resources in the coal production process. The actuator at least includes a water pump and a valve. The present application collects water volume data in the coal production process in real time, inputs the water volume data into the control strategy model, calculates the optimal water resource allocation plan through the model, and generates corresponding control instructions; transmits the optimal water resource allocation plan and the corresponding control instructions to the actuator, and controls the actuator to realize real-time regulation of water resources according to the control instructions. The present application solves the problem that the prior art lacks real-time response to water volume changes in the coal production process, resulting in low utilization of water resources.

[0038] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the coal-water coordinated control method based on water quantitative control of the present application will be described in detail below in combination with specific embodiments.

[0039] In order to improve the intelligent management and optimized control of water resources in the coal production process, in an optional implementation manner, the above step S202 includes:

[0040] Step S2021, inputting the water volume data into the prediction sub-model in the control strategy model, so as to use the prediction sub-model to predict the change trend of water volume in the coal production process, and outputting the prediction result;

[0041] Step S2022, at least inputting the above-mentioned prediction results and production demand into the above-mentioned optimization sub-model in the above-mentioned control strategy model, so as to optimize the current water resource allocation plan by using the above-mentioned optimization sub-model in combination with the above-mentioned preset control rules to obtain a target water resource allocation plan, wherein the above-mentioned production demand includes the demand for the above-mentioned water resources in the above-mentioned coal production process;

[0042] Step S2023: Analyze the target water resource allocation plan using the control sub-model to generate the control instruction.

[0043] In the above embodiment, the core principle of the quantitative control of water use in the coordinated control of coal and water is to realize the precise regulation of water resources through mathematical models and control strategies based on the real-time monitoring of water volume and coal production demand data. The control strategy model includes three parts: prediction sub-model, optimization sub-model and control sub-model: the prediction sub-model is used to predict the changing trend of water volume in the coal production process; the optimization sub-model optimizes the water resource allocation plan according to the prediction results and production needs; the control sub-model is responsible for real-time regulation of actuators such as water pumps and valves according to the optimization plan.

[0044] It should also be noted that the prediction sub-model can be constructed using methods such as time series analysis, machine learning or neural networks, and trained through historical water volume data and other related variables to predict the trend of water consumption changes in the future coal production process. The optimization sub-model can be constructed using methods such as mathematical programming, simulated annealing algorithm, genetic algorithm, etc., with the goal of maximizing production efficiency and optimizing water resource allocation scheme, and combining the prediction results and production needs to make optimization decisions. The control sub-model can be constructed using methods such as PID controller and fuzzy logic control, or by determining the objective function and constraints. According to the target water resource allocation scheme generated by the optimization sub-model and the actual situation, the final control instructions are generated to achieve real-time control of water resource allocation. The final control strategy model integrates the prediction sub-model, the optimization sub-model and the control sub-model, and realizes the intelligent management and optimization control of water resources in the coal production process through information interaction and coordination between the sub-models.

[0045] In order to avoid the waste of water resources, in an optional implementation manner, before the above step S2022, the method further includes:

[0046] Step S301, obtaining the water resource demand of each production link in the above-mentioned coal production process, wherein the above-mentioned production links at least include coal mining link, coal washing link, transportation link and production link;

[0047] Step S302: determining the production demand of the water resources in the coal production process according to the sum of all the demands.

[0048] In the above embodiment, it is necessary to understand the demand for water resources in each link of the coal production process, including the coal mining process, the coal washing process, the transportation process and the production process. By analyzing these demands, the overall water consumption of water resources in the coal production process, that is, the above production demand, can be determined. According to the demand for coal production and the water quality conditions, the water consumption of each production link is reasonably arranged to avoid the waste of water resources and meet the demand for coal production at the same time.

[0049] In order to effectively improve the efficiency of water resource utilization, in an optional implementation manner, the above step S2022 includes:

[0050] Step S20221, a control step, controlling the optimization sub-model to optimize the current water resource allocation plan according to the prediction result and the production demand under the condition of the preset control rule by a mathematical optimization method to calculate the optimal water resource allocation plan, and obtain the current optimal water resource allocation plan, wherein the preset control rule at least includes the valve opening and closing degree of the actuator, the supply speed of the water resource and the upper limit of the water volume of the water resource;

[0051] Step S20223, a comparison step, comparing the actual water resource situation in the above-mentioned coal production process with the predicted water resource result corresponding to the above-mentioned current optimal water resource allocation plan, so as to evaluate the above-mentioned current optimal water resource allocation plan and obtain an evaluation result, wherein the above-mentioned evaluation result is that the above-mentioned current optimal water resource allocation plan is not the optimal plan or the above-mentioned current optimal water resource allocation plan is the above-mentioned optimal plan;

[0052] Step S20225, when the above evaluation result shows that the above current optimal water resource allocation plan is not the optimal plan, repeating the above control step and the above comparison step at least once in sequence to adjust and optimize the above current optimal water resource allocation plan, until the above evaluation result shows that the above current optimal water resource allocation plan is the optimal plan;

[0053] Step S20227: when the above-mentioned evaluation result is that the above-mentioned current optimal water resource allocation plan is the above-mentioned optimal plan, the above-mentioned current optimal water resource allocation plan is determined as the above-mentioned target water resource allocation plan.

[0054] In the above embodiment, according to the above prediction results and production demand, a mathematical optimization model is established, and the optimization of the water resource allocation scheme is taken as the objective function, taking into account the constraints such as the valve opening and closing degree of the actuator, the water resource supply speed and the upper limit of the water volume under the conditions of the preset control rules. The current water resource allocation scheme is optimized by mathematical optimization methods, such as linear programming, integer programming or mixed integer programming, so as to calculate the optimal water resource allocation scheme. The actual water resource situation is compared with the predicted water resource results corresponding to the current optimal water resource allocation scheme, which can be performed by data comparison, chart comparison and the like. According to the comparison results, the advantages and disadvantages of the current optimal water resource allocation scheme are evaluated, and the evaluation results are obtained to determine whether the current optimal water resource allocation scheme is the optimal scheme. When the evaluation result is that the current optimal water resource allocation scheme is not the optimal scheme, the control steps and the comparison steps are repeated in sequence to adjust and optimize until the evaluation result is that the current optimal water resource allocation scheme is the optimal scheme. The specific process is: according to the evaluation results, the problems and shortcomings of the current optimal water resource allocation scheme are analyzed, such as low water resource utilization efficiency and serious water resource waste. In the control step, adjust the parameters or conditions of the optimization sub-model, re-perform mathematical optimization, and obtain the adjusted water resource allocation plan. Perform the comparison step again to evaluate the advantages and disadvantages of the adjusted water resource allocation plan, and repeat the above steps until the evaluation result shows that the current optimal water resource allocation plan is the optimal plan. According to the evaluation results, it is confirmed that the current optimal water resource allocation plan has achieved the optimal water resource utilization effect, which can meet production needs and save water resources to the greatest extent. The current optimal water resource allocation plan is determined as the target water resource allocation plan, and the plan is implemented to achieve the best water resource allocation effect. It can help enterprises adjust and optimize the current water resource allocation plan through mathematical optimization methods according to actual conditions and needs, so as to achieve the best water resource utilization effect and production efficiency. Through continuous comparison and adjustment, the water resource utilization efficiency can be effectively improved, the production cost can be reduced, and the effect of saving resources and protecting the environment can be achieved.

[0055] In order to ensure that the water resources used in the production process meet the relevant standards and reduce damage to the environment and equipment, in an optional implementation, the above step S2022 also includes:

[0056] Step S20222, obtaining water quality data in the above coal production process in real time;

[0057] Step S20224, real-time monitoring and analysis of the water quality data to obtain the current water resource quality;

[0058] Step S20226, input the above-mentioned prediction results, the above-mentioned production demand and the above-mentioned current water resource quality into the above-mentioned optimization sub-model in the above-mentioned control strategy model, so as to optimize the above-mentioned current water resource allocation plan based on the above-mentioned prediction results, the above-mentioned production demand and the above-mentioned current water resource quality in combination with the above-mentioned preset control rules using the above-mentioned optimization sub-model to obtain the target water resource allocation plan.

[0059] In the above embodiment, water quality monitoring and treatment are the key to ensuring the quality of water resources in the coal production process. By real-time monitoring and analysis of water quality, it is ensured that the water resources used in the production process meet the relevant standards and reduce damage to the environment and equipment. In addition, through effective wastewater treatment and recycling technology, wastewater recycling can be achieved and the demand for fresh water resources can be reduced. It is necessary to install water quality monitoring equipment and connect it to the data acquisition system to collect water quality data in the coal production process in real time. These data may include but are not limited to pH value, turbidity, dissolved oxygen, chemical oxygen demand (COD), total nitrogen, total phosphorus and other parameters of the water source. The water quality data collected in real time is monitored and analyzed, and data analysis software or system can be used for processing. By analyzing the water quality data, the quality of the current water resources can be obtained, including whether it meets the production demand and environmental protection standards. The prediction results, production demand and current water resource quality need to be input into the optimization sub-model in the control strategy model. This optimization sub-model can optimize the current water resource allocation plan based on the prediction results, production demand and current water resource quality, combined with the preset control rules. The goal of optimization can be to maximize water resource utilization, ensure production needs, improve water quality, etc. Real-time acquisition of water quality data in the coal production process can help monitor water quality, detect anomalies in time and take measures to adjust them to ensure water quality safety in the production process. By optimizing the current water resource allocation plan based on the prediction results, production needs and current water resource quality combined with preset control rules through the optimization sub-model, more reasonable and efficient water resource utilization can be achieved, and water resource utilization efficiency can be improved. The optimized water resource allocation plan can better meet the needs of coal production, reduce resource waste, reduce production costs, and also help protect the environment and reduce excessive exploitation and pollution of water resources. This can effectively improve the utilization efficiency of water resources, ensure production needs, and also help protect the environment and water quality.

[0060] In order to improve the efficiency and accuracy of water quantitative control in coal-water coordinated control, in an optional implementation manner, before the above step S202, the method further includes:

[0061] Step S401, obtaining historical water volume data, the historical water volume data being water volume data in the above coal production process within a historical time period;

[0062] Step S402, performing structural optimization and parameter optimization on the control strategy model according to the real-time water volume data and the historical water volume data to optimize the control strategy model. The structural optimization is to optimize the structure of each model layer in the control strategy model. The parameter optimization is to adjust and optimize the numerical value of each parameter in the control strategy model. The model layer includes at least an input layer and an output layer. The parameters include at least a learning rate and a weight.

[0063] In the above embodiment, optimization can be carried out from two aspects: one is model optimization, which improves the calculation accuracy and response speed of the algorithm by improving the prediction and optimization model; the other is parameter optimization, which makes the algorithm better adapt to the dynamic changes in the coal production process by adjusting the model parameters; in addition, the algorithm's adaptability and intelligence level can be further improved through machine learning and artificial intelligence technology.

[0064] In order to ensure that the actuator operates according to the expected control instruction, in an optional implementation, the above step S203 includes:

[0065] Step S2031, monitoring the real-time action status of the actuator;

[0066] Step S2032, comparing the real-time action state with the control instruction;

[0067] Step S2033, when the real-time action state is inconsistent with the control instruction, correcting the action state of the actuator to make the real-time action state consistent with the control instruction;

[0068] Step S2034: when the real-time action state is consistent with the control instruction, continue to adjust the actuator according to the control instruction.

[0069] In the above embodiment, the real-time action state of the above-mentioned actuator can be monitored by obtaining the action state of the actuator in real time through a sensor or a monitoring device, such as switch state, speed, position and other information. The above-mentioned real-time action state is compared with the control instruction, and the real-time state and the control instruction can be compared by an algorithm or logical judgment to see whether they are consistent. If they are inconsistent, it means that the actual action state of the actuator does not match the expected control instruction and needs to be corrected. In the case where the real-time action state is inconsistent with the control instruction, the action state of the actuator needs to be corrected. This can be done by sending a new control instruction to the actuator to adjust it to the correct action state to keep it consistent with the control instruction. In the case where the real-time action state is consistent with the control instruction, the actuator can continue to be adjusted according to the control instruction. Such a real-time monitoring and correction mechanism can ensure that the actuator operates according to the expected control instruction, improve the stability and reliability of the water quantitative control system for coordinated control of coal and water, and ensure the normal operation of the system.

[0070] 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, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0071] The embodiment of the present application also provides a coal-water coordinated control device based on water quantitative control. It should be noted that the coal-water coordinated control device based on water quantitative control in the embodiment of the present application can be used to execute the coal-water coordinated control method based on water quantitative control provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0072] The following is an introduction to the coal-water coordinated control device based on water quantitative control provided in an embodiment of the present application.

[0073] Figure 4 is a structural block diagram of a coal-water coordinated control device based on water quantitative control according to an embodiment of the present application. Figure 4 As shown, the device comprises:

[0074] The first acquisition unit 10 is used to acquire water volume data in the coal production process in real time.

[0075] Specifically, sensors are used to collect water volume data in the coal production process in real time. A data acquisition and processing system is used to convert the raw data into a format that can be used for calculations. Sensors are installed on water pipes. These sensors can monitor water flow, water pressure and other data in real time, and transmit the data to the data acquisition system for processing and storage.

[0076] It should also be noted that if Figure 3 As shown, the coal-water coordinated control system includes a communication module, a control module, a sensor module and an execution module, and the communication module, the control module, the sensor module and the execution module are electrically connected to each other. The communication module is responsible for realizing data transmission and communication between the various parts of the coal-water coordinated control water quantitative control system; through the communication module, the control module, the sensor module and the execution module can exchange data in real time to ensure the coordinated work and efficient operation of the control system; the communication module can also upload the operating status and data of the system to the superior management system for remote monitoring and scheduling. The control module is the core of the coal-water coordinated control water quantitative control system, which is responsible for receiving data collected by the sensor and making decisions according to the preset control algorithm; the control module analyzes the real-time data of the water volume in the coal production process through the controller, automatically adjusts the action of the execution module, and realizes precise control of water resources; the control module can also adjust the control strategy according to the actual situation to adapt to the changes in the coal production process. The sensor module plays an important role in the water quantitative control system for coordinated control of coal and water. It is responsible for monitoring key parameters such as water quantity and water quality in the coal production process. The sensor module collects data in real time through liquid level sensors and water quality sensors. The control module can accurately understand the status of water resources in the current coal production process and provide strong support for decision-making. The sensors in the sensor module can also detect the action status of the execution module to ensure the normal operation of the control system. The execution module is the execution unit of the water quantitative control system for coordinated control of coal and water. It is used through the controller and is responsible for performing specific operations according to the decisions of the controller. The actuator can adjust water pumps, valves and other equipment according to the instructions of the controller to achieve the reasonable allocation and scheduling of water resources. The precise action of the actuator is the key to achieving efficient use of water resources and is crucial to the entire control system.

[0077] The generation unit 20 is used to input the above-mentioned water volume data into the control strategy model, so as to use the above-mentioned control strategy model to analyze and process the above-mentioned water volume data and preset control rules to generate control instructions. The above-mentioned control strategy model is a mathematical model constructed according to training data and a control algorithm. The above-mentioned training data at least includes sample water volume data and corresponding sample control instructions. The above-mentioned control instructions are used to adjust the water-coal ratio in the above-mentioned coal production process.

[0078] Specifically, the water volume data is input into the control strategy model, and the data can be analyzed and processed using a mathematical model constructed by machine learning or control algorithms. Through the learning and optimization of the model, control instructions suitable for the current coal production process can be generated to adjust the water-coal ratio and achieve effective utilization and conservation of water resources. The control strategy model needs to be constructed based on historical training data and control algorithms to ensure the accuracy and reliability of the model. At the same time, the control strategy model constructed by machine learning and control algorithms can continuously optimize control instructions, improve the intelligence and adaptability of the system, and further improve production efficiency and save resources.

[0079] The regulating unit 30 is used to regulate the corresponding actuator according to the above control instructions to dispatch and allocate water resources in the above coal production process. The above actuator includes at least a water pump and a valve.

[0080] Specifically, according to the generated control instructions, the actuators are adjusted to dispatch and allocate water resources. Water pumps and valves are commonly used actuators, and water resources can be regulated by controlling the flow rate of the water pump and the opening and closing degree of the valve. By real-time monitoring of water volume data and adjusting the actuators, the water-coal ratio in the coal production process can be kept within an appropriate range, improving production efficiency and saving water resources. Real-time monitoring and control of water resources in the coal production process can be achieved, thereby achieving precise adjustment of the water-coal ratio, improving production efficiency and saving water resources.

[0081] In this embodiment, the first acquisition unit is used to obtain the water volume data in the coal production process in real time; the generation unit is used to input the water volume data into the control strategy model, so as to analyze and process the water volume data and the preset control rules using the control strategy model, and generate control instructions. The control strategy model is a mathematical model constructed according to the training data and the control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions. The control instructions are used to adjust the water-coal ratio in the coal production process; the adjustment unit is used to adjust the corresponding actuator according to the control instructions to dispatch and allocate water resources in the coal production process, and the actuator at least includes a water pump and a valve. The present application collects the water volume data in the coal production process in real time, inputs the water volume data into the control strategy model, calculates the optimal water resource allocation plan through the model, and generates the corresponding control instructions; transmits the optimal water resource allocation plan and the corresponding control instructions to the actuator, and controls the actuator to realize the real-time regulation of water resources according to the control instructions. The present application solves the problem that the prior art lacks real-time response to the water volume changes in the coal production process, resulting in low utilization of water resources.

[0082] In order to improve the intelligent management and optimized control of water resources in the coal production process, in an optional implementation manner, the first acquisition unit includes:

[0083] A first input module is used to input the water volume data into the prediction sub-model in the control strategy model, so as to use the prediction sub-model to predict the change trend of water volume in the coal production process, and output the prediction result;

[0084] A second input module is used to input at least the above-mentioned prediction results and production requirements into the above-mentioned optimization sub-model in the above-mentioned control strategy model, so as to optimize the current water resource allocation plan by using the above-mentioned optimization sub-model in combination with the above-mentioned preset control rules to obtain a target water resource allocation plan, and the above-mentioned production requirements include the requirements for the above-mentioned water resources in the above-mentioned coal production process;

[0085] The third input module is used to analyze the target water resource allocation plan using the control sub-model to generate the control instruction.

[0086] In the above embodiment, the core principle of the quantitative control of water use in the coordinated control of coal and water is to realize the precise regulation of water resources through mathematical models and control strategies based on the real-time monitoring of water volume and coal production demand data. The control strategy model includes three parts: prediction sub-model, optimization sub-model and control sub-model: the prediction sub-model is used to predict the changing trend of water volume in the coal production process; the optimization sub-model optimizes the water resource allocation plan according to the prediction results and production needs; the control sub-model is responsible for real-time regulation of actuators such as water pumps and valves according to the optimization plan.

[0087] It should also be noted that the prediction sub-model can be constructed using methods such as time series analysis, machine learning or neural networks, and trained through historical water volume data and other related variables to predict the trend of water consumption changes in the future coal production process. The optimization sub-model can be constructed using methods such as mathematical programming, simulated annealing algorithm, genetic algorithm, etc., with the goal of maximizing production efficiency and optimizing water resource allocation scheme, and combining the prediction results and production needs to make optimization decisions. The control sub-model can be constructed using methods such as PID controller and fuzzy logic control, or by determining the objective function and constraints. According to the target water resource allocation scheme generated by the optimization sub-model and the actual situation, the final control instructions are generated to achieve real-time control of water resource allocation. The final control strategy model integrates the prediction sub-model, the optimization sub-model and the control sub-model, and realizes the intelligent management and optimization control of water resources in the coal production process through information interaction and coordination between the sub-models.

[0088] In order to avoid waste of water resources, in an optional implementation manner, the device further includes:

[0089] A second acquisition unit is used to obtain the demand for water resources in each production link in the above-mentioned coal production process before at least the above-mentioned prediction result and production demand are input into the above-mentioned optimization sub-model in the above-mentioned control strategy model to optimize the current water resource allocation plan by using the above-mentioned optimization sub-model in combination with the above-mentioned preset control rules to obtain the target water resource allocation plan, wherein the above-mentioned production links at least include coal mining link, coal washing link, transportation link and production link;

[0090] A determination unit is used to determine the above-mentioned production demand of the above-mentioned water resources in the above-mentioned coal production process according to the sum of all the above-mentioned demands.

[0091] In the above embodiment, it is necessary to understand the demand for water resources in each link of the coal production process, including the coal mining process, the coal washing process, the transportation process and the production process. By analyzing these demands, the overall water consumption of water resources in the coal production process, that is, the above production demand, can be determined. According to the demand for coal production and the water quality conditions, the water consumption of each production link is reasonably arranged to avoid the waste of water resources and meet the demand for coal production at the same time.

[0092] In order to effectively improve the efficiency of water resource utilization, in an optional implementation manner, the first input module includes:

[0093] A control submodule, used to execute the control step, control the above-mentioned optimization submodel to optimize the above-mentioned current water resource allocation plan according to the above-mentioned prediction result and the above-mentioned production demand under the condition of the above-mentioned preset control rules by a mathematical optimization method to calculate the optimal water resource allocation plan, and obtain the current optimal water resource allocation plan, wherein the above-mentioned preset control rules at least include the valve opening and closing degree of the above-mentioned actuator, the supply speed of the above-mentioned water resources and the water volume upper limit of the above-mentioned water resources;

[0094] A comparison submodule is used for the comparison step, comparing the actual water resource situation in the above-mentioned coal production process with the predicted water resource result corresponding to the above-mentioned current optimal water resource allocation plan, so as to evaluate the above-mentioned current optimal water resource allocation plan and obtain an evaluation result, wherein the above-mentioned evaluation result is that the above-mentioned current optimal water resource allocation plan is not the optimal plan or the above-mentioned current optimal water resource allocation plan is the above-mentioned optimal plan;

[0095] a repeating submodule, for, when the above-mentioned evaluation result shows that the above-mentioned current optimal water resource allocation scheme is not the optimal scheme, sequentially repeating the above-mentioned control step and the above-mentioned comparison step at least once, so as to adjust and optimize the above-mentioned current optimal water resource allocation scheme, until the above-mentioned evaluation result shows that the above-mentioned current optimal water resource allocation scheme is the above-mentioned optimal scheme;

[0096] The determination submodule is used to determine the current optimal water resource allocation scheme as the target water resource allocation scheme when the evaluation result shows that the current optimal water resource allocation scheme is the optimal scheme.

[0097] In the above embodiment, according to the above prediction results and production demand, a mathematical optimization model is established, and the optimization of the water resource allocation scheme is taken as the objective function, taking into account the constraints such as the valve opening and closing degree of the actuator, the water resource supply speed and the upper limit of the water volume under the conditions of the preset control rules. The current water resource allocation scheme is optimized by mathematical optimization methods, such as linear programming, integer programming or mixed integer programming, so as to calculate the optimal water resource allocation scheme. The actual water resource situation is compared with the predicted water resource results corresponding to the current optimal water resource allocation scheme, which can be performed by data comparison, chart comparison and the like. According to the comparison results, the advantages and disadvantages of the current optimal water resource allocation scheme are evaluated, and the evaluation results are obtained to determine whether the current optimal water resource allocation scheme is the optimal scheme. When the evaluation result is that the current optimal water resource allocation scheme is not the optimal scheme, the control steps and the comparison steps are repeated in sequence to adjust and optimize until the evaluation result is that the current optimal water resource allocation scheme is the optimal scheme. The specific process is: according to the evaluation results, the problems and shortcomings of the current optimal water resource allocation scheme are analyzed, such as low water resource utilization efficiency and serious water resource waste. In the control step, adjust the parameters or conditions of the optimization sub-model, re-perform mathematical optimization, and obtain the adjusted water resource allocation plan. Perform the comparison step again to evaluate the advantages and disadvantages of the adjusted water resource allocation plan, and repeat the above steps until the evaluation result shows that the current optimal water resource allocation plan is the optimal plan. According to the evaluation results, it is confirmed that the current optimal water resource allocation plan has achieved the optimal water resource utilization effect, which can meet production needs and save water resources to the greatest extent. The current optimal water resource allocation plan is determined as the target water resource allocation plan, and the plan is implemented to achieve the best water resource allocation effect. It can help enterprises adjust and optimize the current water resource allocation plan through mathematical optimization methods according to actual conditions and needs, so as to achieve the best water resource utilization effect and production efficiency. Through continuous comparison and adjustment, the water resource utilization efficiency can be effectively improved, the production cost can be reduced, and the effect of saving resources and protecting the environment can be achieved.

[0098] In order to ensure that the water resources used in the production process meet the relevant standards and reduce damage to the environment and equipment, in an optional implementation, the first input module further includes:

[0099] An acquisition submodule is used to obtain water quality data in the above-mentioned coal production process in real time;

[0100] The analysis submodule is used to monitor and analyze the above water quality data in real time to obtain the current water resource quality;

[0101] The optimization submodule is used to input the above-mentioned prediction results, the above-mentioned production demand and the above-mentioned current water resource quality into the above-mentioned optimization submodel in the above-mentioned control strategy model, so as to optimize the above-mentioned current water resource allocation plan based on the above-mentioned prediction results, the above-mentioned production demand and the above-mentioned current water resource quality in combination with the above-mentioned preset control rules using the above-mentioned optimization submodel to obtain a target water resource allocation plan.

[0102] In the above embodiment, water quality monitoring and treatment are the key to ensuring the quality of water resources in the coal production process. By real-time monitoring and analysis of water quality, it is ensured that the water resources used in the production process meet the relevant standards and reduce damage to the environment and equipment. In addition, through effective wastewater treatment and recycling technology, wastewater recycling can be achieved and the demand for fresh water resources can be reduced. It is necessary to install water quality monitoring equipment and connect it to the data acquisition system to collect water quality data in the coal production process in real time. These data may include but are not limited to pH value, turbidity, dissolved oxygen, chemical oxygen demand (COD), total nitrogen, total phosphorus and other parameters of the water source. The water quality data collected in real time is monitored and analyzed, and data analysis software or system can be used for processing. By analyzing the water quality data, the quality of the current water resources can be obtained, including whether it meets the production demand and environmental protection standards. The prediction results, production demand and current water resource quality need to be input into the optimization sub-model in the control strategy model. This optimization sub-model can optimize the current water resource allocation plan based on the prediction results, production demand and current water resource quality, combined with the preset control rules. The goal of optimization can be to maximize water resource utilization, ensure production needs, improve water quality, etc. Real-time acquisition of water quality data in the coal production process can help monitor water quality, detect anomalies in time and take measures to adjust them to ensure water quality safety in the production process. By optimizing the current water resource allocation plan based on the prediction results, production needs and current water resource quality combined with preset control rules through the optimization sub-model, more reasonable and efficient water resource utilization can be achieved, and water resource utilization efficiency can be improved. The optimized water resource allocation plan can better meet the needs of coal production, reduce resource waste, reduce production costs, and also help protect the environment and reduce excessive exploitation and pollution of water resources. This can effectively improve the utilization efficiency of water resources, ensure production needs, and also help protect the environment and water quality.

[0103] In order to improve the efficiency and accuracy of water quantitative control in coal-water coordinated control, in an optional implementation manner, the device further includes:

[0104] A third acquisition unit is used to acquire historical water volume data before inputting the water volume data into the control strategy model to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions. The historical water volume data is the water volume data in the coal production process within a historical time period;

[0105] An optimization unit is used to perform structural optimization and parameter optimization on the control strategy model according to the real-time water volume data and the historical water volume data so as to optimize the control strategy model. The structural optimization is to optimize the structure of each model layer in the control strategy model. The parameter optimization is to adjust and optimize the numerical value of each parameter in the control strategy model. The model layer at least includes an input layer and an output layer. The parameters at least include a learning rate and a weight.

[0106] In the above embodiment, optimization can be carried out from two aspects: one is model optimization, which improves the calculation accuracy and response speed of the algorithm by improving the prediction and optimization model; the other is parameter optimization, which makes the algorithm better adapt to the dynamic changes in the coal production process by adjusting the model parameters; in addition, the algorithm's adaptability and intelligence level can be further improved through machine learning and artificial intelligence technology.

[0107] In order to ensure that the actuator operates according to the expected control instructions, in an optional implementation, the adjustment unit includes:

[0108] A monitoring module, used to monitor the real-time action status of the above actuator;

[0109] A comparison module, used for comparing the above-mentioned real-time action state with the above-mentioned control instruction;

[0110] A correction module, used for correcting the action state of the actuator when the real-time action state is inconsistent with the control instruction, so as to make the real-time action state consistent with the control instruction;

[0111] The regulating module is used to continue regulating the actuator according to the control instruction when the real-time action state is consistent with the control instruction.

[0112] In the above embodiment, the real-time action state of the above-mentioned actuator can be monitored by obtaining the action state of the actuator in real time through a sensor or a monitoring device, such as switch state, speed, position and other information. The above-mentioned real-time action state is compared with the control instruction, and the real-time state and the control instruction can be compared by an algorithm or logical judgment to see whether they are consistent. If they are inconsistent, it means that the actual action state of the actuator does not match the expected control instruction and needs to be corrected. In the case where the real-time action state is inconsistent with the control instruction, the action state of the actuator needs to be corrected. This can be done by sending a new control instruction to the actuator to adjust it to the correct action state to keep it consistent with the control instruction. In the case where the real-time action state is consistent with the control instruction, the actuator can continue to be adjusted according to the control instruction. Such a real-time monitoring and correction mechanism can ensure that the actuator operates according to the expected control instruction, improve the stability and reliability of the water quantitative control system for coordinated control of coal and water, and ensure the normal operation of the system.

[0113] The above-mentioned coal-water coordinated control device based on water quantitative control includes a processor and a memory, and the above-mentioned first acquisition unit, generation unit and adjustment unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in the form of any combination.

[0114] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters are adjusted to solve the problem that the existing technology lacks real-time response to the change of water volume in the coal production process, resulting in low utilization rate of water resources.

[0115] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0116] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program. When the program is executed, the device where the computer-readable storage medium is located is controlled to execute the coal-water coordinated control method based on water quantitative control.

[0117] Specifically, the coal-water coordinated control method based on water quantitative control includes:

[0118] Step S201, obtaining water volume data in the coal production process in real time;

[0119] Step S202, inputting the water volume data into a control strategy model, so as to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process;

[0120] Step S203, adjusting the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, the actuator at least including a water pump and a valve.

[0121] An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein the program executes the coal-water coordinated control method based on water quantitative control when running.

[0122] Specifically, the coal-water coordinated control method based on water quantitative control includes:

[0123] Step S201, obtaining water volume data in the coal production process in real time;

[0124] Step S202, inputting the water volume data into a control strategy model, so as to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process;

[0125] Step S203, adjusting the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, the actuator at least including a water pump and a valve.

[0126] The embodiment of the present invention provides a water quantitative control system for coordinated control of coal and water. The water quantitative control system for coordinated control of coal and water includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are implemented:

[0127] Step S201, obtaining water volume data in the coal production process in real time;

[0128] Step S202, inputting the water volume data into a control strategy model, so as to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process;

[0129] Step S203, adjusting the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, the actuator at least including a water pump and a valve.

[0130] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0131] Step S201, obtaining water volume data in the coal production process in real time;

[0132] Step S202, inputting the water volume data into a control strategy model, so as to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process;

[0133] Step S203, adjusting the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, the actuator at least including a water pump and a valve.

[0134] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0135] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0136] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0137] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0138] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0139] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0140] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0141] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0142] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0143] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0144] 1) The coal-water coordinated control method based on water quantitative control of the present application, first, obtains the water volume data in the coal production process in real time; then, inputs the water volume data into the control strategy model, so as to use the control strategy model to analyze and process the water volume data and the preset control rules, and generate control instructions, the control strategy model is a mathematical model constructed according to the training data and the control algorithm, the training data at least includes sample water volume data and corresponding sample control instructions, the control instructions are used to adjust the water-coal ratio in the coal production process; finally, according to the control instructions, the corresponding actuator is adjusted to dispatch and allocate the water resources in the coal production process, the actuator at least includes a water pump and a valve. The present application collects the water volume data in the coal production process in real time, inputs the water volume data into the control strategy model, calculates the optimal water resource allocation plan through the model, and generates the corresponding control instructions; transmits the optimal water resource allocation plan and the corresponding control instructions to the actuator, and controls the actuator to realize the real-time regulation of water resources according to the control instructions. The present application solves the problem that the prior art lacks real-time response to the water volume changes in the coal production process, resulting in low utilization of water resources.

[0145] 2) The coal-water coordinated control device based on water quantitative control of the present application comprises a first acquisition unit for real-time acquisition of water volume data in the coal production process; a generation unit for inputting the water volume data into the control strategy model, so as to analyze and process the water volume data and preset control rules using the control strategy model, and generate control instructions. The control strategy model is a mathematical model constructed according to training data and control algorithm, and the training data at least includes sample water volume data and corresponding sample control instructions. The control instructions are used to adjust the water-coal ratio in the coal production process; an adjustment unit for adjusting the corresponding actuator according to the control instructions to dispatch and allocate water resources in the coal production process. The actuator at least includes a water pump and a valve. The present application collects water volume data in the coal production process in real time, inputs the water volume data into the control strategy model, calculates the optimal water resource allocation plan through the model, and generates corresponding control instructions; transmits the optimal water resource allocation plan and the corresponding control instructions to the actuator, and controls the actuator to realize real-time regulation of water resources according to the control instructions. The present application solves the problem that the prior art lacks real-time response to water volume changes in the coal production process, resulting in low utilization of water resources.

[0146] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A coal-water coordinated control method based on water quantitative control, characterized in that: include: Obtain real-time water volume data during coal production; The water volume data is input into a control strategy model, so as to analyze and process the water volume data and preset control rules by using the control strategy model to generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, wherein the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used to adjust the water-coal ratio in the coal production process; The corresponding actuator is adjusted according to the control instruction to dispatch and allocate water resources in the coal production process, and the actuator includes at least a water pump and a valve.

2. The method according to claim 1, characterized in that The control strategy model includes a prediction sub-model, an optimization sub-model and a control sub-model. The water volume data is input into the control strategy model, so that the control strategy model is used to analyze and process the water volume data and preset control rules to generate control instructions, including: Inputting the water volume data into the prediction sub-model in the control strategy model, so as to use the prediction sub-model to predict the changing trend of water volume in the coal production process, and outputting the prediction result; At least the prediction result and the production demand are input into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, wherein the production demand includes the demand for the water resources in the coal production process; The target water resource allocation scheme is analyzed using the control sub-model to generate the control instruction.

3. The method according to claim 2, characterized in that Before at least inputting the prediction result and the production demand into the optimization sub-model in the control strategy model to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rule to obtain the target water resource allocation plan, the method further includes: Obtaining the demand for water resources in each production link in the coal production process, wherein the production link at least includes coal mining, coal washing, transportation and production; The production demand for the water resource in the coal production process is determined based on the sum of all the demands.

4. The method according to claim 2, characterized in that: At least the prediction result and the production demand are input into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, including: A control step, controlling the optimization sub-model to optimize the current water resource allocation plan according to the prediction result and the production demand under the condition of the preset control rule by a mathematical optimization method to calculate the optimal water resource allocation plan, and obtain the current optimal water resource allocation plan, wherein the preset control rule at least includes the valve opening and closing degree of the actuator, the supply speed of the water resource and the upper limit of the water volume of the water resource; A comparison step, comparing the actual water resource situation in the coal production process with the predicted water resource result corresponding to the current optimal water resource allocation plan to evaluate the current optimal water resource allocation plan and obtain an evaluation result, wherein the evaluation result is that the current optimal water resource allocation plan is not the optimal plan or the current optimal water resource allocation plan is the optimal plan; In the case where the evaluation result shows that the current optimal water resource allocation plan is not the optimal plan, the control step and the comparison step are sequentially repeated at least once to adjust and optimize the current optimal water resource allocation plan until the evaluation result shows that the current optimal water resource allocation plan is the optimal plan; When the evaluation result shows that the current optimal water resource allocation plan is the optimal plan, the current optimal water resource allocation plan is determined as the target water resource allocation plan.

5. The method according to claim 2, characterized in that: At least the prediction result and the production demand are input into the optimization sub-model in the control strategy model, so as to optimize the current water resource allocation plan by using the optimization sub-model in combination with the preset control rules to obtain a target water resource allocation plan, and further comprising: Acquiring water quality data in real time during the coal production process; Performing real-time monitoring and analysis on the water quality data to obtain the current water resource quality; The prediction results, the production demand and the current water resource quality are input into the optimization sub-model in the control strategy model, so as to utilize the optimization sub-model to optimize the current water resource allocation plan based on the prediction results, the production demand and the current water resource quality in combination with the preset control rules to obtain the target water resource allocation plan.

6. The method according to claim 1, characterized in that Before inputting the water volume data into the control strategy model to analyze and process the water volume data and preset control rules using the control strategy model to generate control instructions, the method further includes: Acquire historical water volume data, where the historical water volume data is water volume data in the coal production process within a historical time period; The control strategy model is structurally optimized and parameterized according to the real-time water volume data and the historical water volume data to optimize the control strategy model. The structural optimization is to optimize the structure of each model layer in the control strategy model. The parameter optimization is to adjust and optimize the numerical value of each parameter in the control strategy model. The model layer includes at least an input layer and an output layer. The parameters include at least a learning rate and a weight.

7. The method according to claim 1, characterized in that Adjusting the corresponding actuator according to the control instruction includes: Monitoring the real-time action status of the actuator; Comparing the real-time action state with the control instruction; When the real-time action state is inconsistent with the control instruction, correct the action state of the actuator to make the real-time action state consistent with the control instruction; When the real-time action state is consistent with the control instruction, the actuator continues to be adjusted according to the control instruction.

8. A coal-water coordinated control device based on water quantitative control, characterized in that: The device comprises: A first acquisition unit is used to acquire water volume data in a coal production process in real time; A generating unit, used for inputting the water volume data into a control strategy model, so as to analyze and process the water volume data and preset control rules by using the control strategy model, and generate control instructions, wherein the control strategy model is a mathematical model constructed according to training data and a control algorithm, wherein the training data at least includes sample water volume data and corresponding sample control instructions, and the control instructions are used for adjusting the water-coal ratio in the coal production process; The regulating unit is used to regulate the corresponding actuator according to the control instruction to dispatch and allocate water resources in the coal production process, and the actuator includes at least a water pump and a valve.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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