Pebble coal automatic discharging method and device for power plant

Abstract

The invention discloses a pebble coal automatic emission method and device for a power plant, and relates to the field of power production, and the method comprises the steps: analyzing the coal type and emission frequency based on historical data, and building a prediction model; according to a prediction result and fuzzy logic control, an emission strategy is dynamically adjusted, and an emission mode is generated; according to the discharging mode, the flowing state of the pebble coal is monitored in real time, a gate is controlled, the speed of a conveying belt is adjusted, and automatic discharging of the pebble coal is completed. According to the method, the prediction model is established by using the historical data and the LSTM algorithm, and the emission interval and the expected emission amount are accurately predicted; through fuzzy logic control and a dynamic adjustment strategy, an optimal emission mode is generated, the pebble coal flow state is monitored and adjusted in real time, blockage is prevented, and the emission process is optimized. Efficient, stable and energy-saving emission is integrally achieved, the stability and operation efficiency of the system are improved, and working condition energy consumption and equipment load are reduced.

Description

Technical Field

[0001] The invention relates to the field of power generation, and in particular to an automatic discharge method and system for pebble coal used in power plants. Background Art

[0002] Pebbles are an inevitable byproduct of coal-fired power plants, mainly composed of rocks and large coal particles that cannot be ground by the coal mill. Effective management and treatment of pebble coal is essential to ensure the normal operation of the power plant. Traditional methods of pebble coal discharge mainly rely on manual operation. Operators need to regularly check the accumulation of pebble coal in the coal mill and manually control the discharge process.

[0003] This method has the following major problems: Manual discharge requires frequent inspections and operations, resulting in low efficiency and a large consumption of human resources. Due to the intermittent nature of manual inspections, it is often impossible to detect the accumulation of pebble coal in time, resulting in blockage of the pebble coal discharge pipeline of the coal mill, and in severe cases, even forcing the coal mill to shut down. In addition, when multiple coal mills are running at the same time, it is difficult for manual labor to accurately coordinate the discharge time of each coal mill, which can easily cause the pebble coal conveying system to overload and jam. Manual operation also lacks flexibility, and it is difficult to flexibly adjust the discharge strategy according to the characteristics of different types of coal and real-time operating conditions. Safety hazards are also a major problem of manual operation. Frequent manual intervention increases the chances of workers being exposed to high temperatures and dusty environments, and there are certain safety risks. In addition, traditional methods lack the means to utilize the residual heat energy in pebble coal, resulting in energy waste. Manual operation is also difficult to achieve accurate data recording and analysis, which is not conducive to long-term optimization and fault prevention of the system.

[0004] In view of the above problems, a method and device for automatic discharge of pebble coal for power plants are proposed, which can not only improve the discharge efficiency, but also optimize energy utilization and enhance system reliability, which is of great significance for improving the overall operating efficiency of coal-fired power plants. Summary of the invention

[0005] In view of the problems existing in the existing stone coal discharge method, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is how to effectively improve the emission efficiency, timely detect and deal with the accumulation of stone coal, prevent the blockage of the emission pipeline, optimize energy utilization, enhance the reliability and safety of the system, reduce human intervention, and achieve accurate data recording and analysis, so as to promote the long-term optimization and fault prevention of the system.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In the first aspect, an embodiment of the present invention provides a method for automatic discharge of pebble coal for power plants, which includes: analyzing coal types and discharge frequencies based on historical data to establish a prediction model; dynamically adjusting the discharge strategy and generating an emission pattern according to the prediction results and fuzzy logic control; and according to the emission pattern, real-time monitoring of the flow state of the pebble coal, controlling the gate and adjusting the conveyor belt speed to complete the automatic discharge of the pebble coal.

[0009] As a preferred solution of the method for automatic discharge of pebble coal for power plants of the present invention, the prediction model includes: collecting historical emission data and processing it using a moving median filtering method; constructing a prediction model using an LSTM algorithm based on the processed historical emissions to predict the amount of pebble coal generated within a first preset time; dividing the emission level according to the amount of pebble coal generated, setting the emission time interval and the expected emission; the relevant formula of the emission level is as follows:

[0010]

[0011] Among them, Level is the emission level, is the number of gravel coal hoppers per hour, t1 is the discharge time interval of level 1, t2 is the discharge time interval of level 2, and t3 is the discharge time interval of level 3.

[0012] Based on the expected emission volume, a heuristic algorithm is used to automatically generate an emission strategy and dynamically adjust the emission frequency and time. A dynamic programming algorithm is applied to optimize the emission time distribution and balance the operating energy consumption and equipment load. Fuzzy logic control is introduced to continuously adjust the emission parameters and generate an emission pattern based on the real-time material level change rate and prediction deviation.

[0013] As a preferred solution of the method for automatic discharge of pebble coal for power plants described in the present invention, the dynamic adjustment of discharge frequency and time includes the following steps: according to the coal type storage situation and the prediction result, the discharge time interval t is set and the timing is started; the pebble coal hopper material level h of the coal mill is recorded at t-1 minute; when the pebble coal hopper material level at t-1 minute is greater than the material level upper limit H, the discharge time is reduced by 30 seconds, and the pebble coal hopper material level discharge time of the coal mill is reset to optimize the discharge procedure; when the pebble coal hopper material level at t-1 minute is less than the material level upper limit H, the material level upper limit H is reduced to 1 / 2H, and the pebble coal hopper material level is continued to be judged; if the pebble coal hopper material level at t-1 minute is less than 1 / 2H, the discharge time is increased by 30S, and the coal mill discharge time is reset to optimize the discharge procedure; if the pebble coal hopper material level at t-1 minute is greater than or equal to 1 / 2H, the coal mill discharge time t is reset before the next discharge; if the pebble coal hopper material level at t-1 minute is greater than or equal to 1 / 2H, the coal mill discharge time t is reset before the next discharge; When the measurement time reaches t seconds, the upper gate of the gravel coal hopper is closed, the lower gate of the gravel coal hopper is opened, and the two adjacent coal mills are prohibited from discharging gravel coal; if the discharge is detected t+5 seconds later and the material level sensor is greater than or equal to M meters, the air hammer device is started, and the material level sensor is detected to be less than M meters after 10 seconds; if the air hammer device is started to detect the discharge for 5 seconds and the material level sensor is greater than or equal to M meters, the alarm is triggered, the blockage of the gravel coal hopper and the material level sensor are checked, and the program ends; if the air hammer device is started to detect the discharge for 5 seconds and the material level sensor is less than M meters, the air hammer device is disabled, the lower gate of the gravel coal hopper is closed, the upper gate of the gravel coal hopper is opened, and the two adjacent coal mills are allowed to discharge gravel coal, and this discharge ends; if the discharge is detected t+5 seconds later and the material level sensor is less than or equal to M meters, the air hammer device is disabled, the lower gate of the gravel coal hopper is closed, the upper gate of the gravel coal hopper is opened, and the two adjacent coal mills are allowed to discharge gravel coal, and this discharge ends.

[0014] As a preferred solution of the method for automatic discharge of pebble coal for power plants described in the present invention, the discharge mode is switched according to the current working conditions and equipment load; the discharge mode includes normal mode, fast mode and energy-saving mode; the normal mode includes executing the standard discharge process; the fast mode includes opening the upper and lower gates and accelerating the discharge by using negative pressure suction technology; the energy-saving mode includes using gravitational potential energy to achieve slow and continuous discharge by controlling the gate opening; the switching discharge mode includes switching from normal mode to fast mode when the pebble coal hopper level of the coal mill is detected to exceed 80% of the upper limit H of the level for b consecutive times or the prediction model shows that the pebble coal production within the first preset time increases; when b consecutive times maxWhen the pebble coal hopper material level is detected to exceed 30% of the material level upper limit H for the first time or the power grid enters the peak power consumption period and the current pebble coal hopper material level is within the safe range, it switches from normal mode to energy-saving mode; when the pebble coal hopper material level drops below 50% of the material level upper limit H or the fast mode lasts for more than the second preset time, it returns from fast mode to normal mode; where b is the number of detections, b max The maximum number of detections.

[0015] As a preferred solution of the method for automatic discharge of pebble coal for power plants of the present invention, it also includes: according to the switching discharge mode, controlling the opening and closing of the gate of the pebble coal hopper, coordinating the discharge timing of adjacent coal mills; using distributed model predictive control to coordinate the operation of multiple coal mills, and optimizing control parameters in real time; the relevant formula of the distributed model is as follows:

[0016]

[0017] Among them, J is the objective function value, N is the number of coal mills in the system, and H p To predict the p time domain, x i (k) is the state of the i-th coal mill at time k, is the expected state r of the i-th coal mill at time k, u i (k) is the control input of the i-th coal mill at time k, Q and R are weight matrices, λ is the penalty coefficient, I adjacent It is the penalty item for the simultaneous discharge of adjacent coal mills.

[0018] As a preferred solution of the method for automatic discharge of pebble coal for power plants described in the present invention, wherein: the flow state of the pebble coal includes flow rate and speed; the adjustment of the conveyor belt speed includes the following steps: real-time monitoring of the flow state of the pebble coal by a sensor installed on the conveyor belt; judging whether the flow state of the pebble coal is adjusted according to the real-time monitoring data; sending instructions to the servo motor through the control system to adjust the opening of the gate; adjusting the speed of the conveyor belt through the frequency converter according to the monitoring data and the flow state of the pebble coal; setting up an abnormal monitoring and early warning mechanism; when a blockage risk is detected, pre-starting low-intensity vibration; if blockage occurs, starting a multi-stage dredging strategy; the multi-stage dredging strategy includes the following steps: using directional sound wave technology to loosen the blockage through sound waves of a specific frequency; if the sound waves of a specific frequency are ineffective in loosening the blockage, starting the air hammer device and using pulse control technology to optimize the knocking effect; at the same time, using image recognition technology to analyze the location and nature of the blockage, triggering an alarm and performing manual intervention.

[0019] As a preferred solution of the method for automatic discharge of pebble coal for power plants described in the present invention, the adjustment includes, when the flow rate is greater than the preset flow rate, reducing the gate opening, reducing the discharge speed of the pebble coal, and reducing the conveyor belt speed through the frequency converter; when the flow rate is less than the preset flow rate, increasing the gate opening, increasing the discharge speed of the pebble coal, and increasing the conveyor belt speed through the frequency converter.

[0020] In the second aspect, in order to further solve the above-mentioned technical problems, the present invention provides the following technical solutions: a device for an automatic discharge method of pebble coal for power plants, comprising: an establishment module, which analyzes the type of coal and the frequency of discharge based on historical data and establishes a prediction model; a generation module, which is used to dynamically adjust the discharge strategy and generate an emission pattern according to the prediction results and fuzzy logic control; a prevention module, which is used to monitor the flow state of the pebble coal in real time according to the emission pattern, control the gate and adjust the conveyor belt speed, and complete the automatic discharge of the pebble coal.

[0021] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: the computer program instructions, when executed by a processor, implement the steps of the method for automatic discharge of stone coal for power plants as described in the first aspect of the present invention.

[0022] The beneficial effects of the present invention are as follows: the present invention establishes a prediction model by utilizing historical data and the LSTM algorithm to accurately predict the emission interval and the expected emission amount; generates an optimal emission mode through fuzzy logic control and a dynamic adjustment strategy, monitors and adjusts the flow state of the stone coal in real time, prevents blockage, optimizes the emission process, and realizes efficient, stable and energy-saving emission as a whole, improves the stability and operating efficiency of the system, and reduces the operating energy consumption and equipment load. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0024] Figure 1 The overall flow chart of the automatic discharge method of stone coal for power plant in Example 1

[0025] Figure 2 This is a specific flow chart of the automatic discharge method of stone coal for power plants in Example 1.

[0026] Figure 3 This is a structural diagram of the device for the automatic discharge method of pebble coal for power plants in Example 2.

[0027] Figure 4This is a computer equipment diagram for the automatic discharge method of stone coal for power plants in Example 3. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0031] Example 1

[0032] Reference Figure 1 , which is the first embodiment of the present invention, provides a method for automatically discharging pebble coal for a power plant, comprising:

[0033] S1: Analyze coal types and emission frequencies based on historical data and establish a prediction model.

[0034] Specifically, the prediction model includes the following steps: collecting historical emission data and processing it using the moving median filter method; constructing a prediction model based on the processed data using the LSTM algorithm to predict the amount of pebble coal produced within the first preset time; dividing the emission level according to the amount of pebble coal produced, setting the emission time interval and the expected emission; the relevant formula for the emission level is as follows:

[0035]

[0036] Among them, Level is the emission level, is the number of gravel coal hoppers per hour, t1 is the discharge time interval of level 1, t2 is the discharge time interval of level 2, and t3 is the discharge time interval of level 3.

[0037] It should be noted that 5 buckets or more of pebble coal per hour is determined as Level 1, and the discharge time interval is t1; 2-5 buckets of pebble coal per hour is determined as Level 2, and the time discharge interval is t2; 2 buckets or less of pebble coal per hour is determined as Level 3, and the time discharge interval is t3.

[0038] Furthermore, based on the expected emission volume, a heuristic algorithm is used to automatically generate an emission strategy and dynamically adjust the emission frequency and time. A dynamic programming algorithm is applied to optimize the emission time distribution, construct a state transfer equation, and balance the operating energy consumption and equipment load. Fuzzy logic control is introduced to continuously adjust the emission parameters and generate an emission pattern based on the real-time material level change rate and prediction deviation.

[0039] Specifically, dynamically adjusting the emission frequency and time includes the following steps: according to the coal type storage situation and the prediction results, set the emission time interval t and start timing; record the gravel coal hopper material level h of the coal mill at t-1 minute; when the gravel coal hopper material level at t-1 minute is greater than the material level upper limit H, the emission time is reduced by 30 seconds, and the gravel coal hopper material level emission time of the coal mill is reset to optimize the emission procedure; when the gravel coal hopper material level at t-1 minute is less than the material level upper limit H, the material level upper limit H is reduced to 1 / 2H, and the gravel coal hopper material level is continued to be judged; if the gravel coal hopper material level at t-1 minute is less than 1 / 2H, the emission time is increased by 30S, and the coal mill emission time is reset to optimize the emission procedure; if the gravel coal hopper material level at t-1 minute is greater than or equal to 1 / 2H, the coal mill emission time t is reset before the next emission; if the detection time reaches t seconds, the gravel coal hopper is closed. The upper gate of the hopper is opened, and the lower gate of the gravel coal hopper is opened. At the same time, the two adjacent coal mills are prohibited from discharging gravel coal; if the discharge is detected t+5 seconds later and the material level sensor is greater than or equal to M meters, the air hammer device is started, and the material level sensor is detected to be less than M meters after 10 seconds; if the air hammer device is started to detect the discharge 5 seconds later and the material level sensor is greater than or equal to M meters, the alarm is triggered, and the blockage of the gravel coal hopper and the material level sensor are checked, and the program ends; if the air hammer device is started to detect the discharge 5 seconds later and the material level sensor is less than M meters, the air hammer device is stopped, the lower gate of the gravel coal hopper is closed, and the upper gate of the gravel coal hopper is opened, allowing the two adjacent coal mills to discharge gravel coal, and this discharge is ended; if the discharge is detected t+5 seconds later and the material level sensor is less than or equal to M meters, the air hammer device is stopped, the lower gate of the gravel coal hopper is closed, and the upper gate of the gravel coal hopper is opened, allowing the two adjacent coal mills to discharge gravel coal, and this discharge is ended.

[0040] Furthermore, the prediction model includes the following steps: collecting and organizing historical emission data, and performing preprocessing; the historical emission data includes timestamps, pebble coal production and emission frequency; dividing the processed data set into a training set, a validation set and a test set, usually divided in a ratio of 7:2:1; inputting input features into the constructed prediction model, the input features including historical pebble coal production, time features and operating parameters; setting the LSTM network structure, including determining the number of LSTM layers, the number of neurons in each layer, and whether to use dropout regularization technology; using the training set data to train the prediction, and using the test set to evaluate the trained prediction model, calculating the prediction error and other related indicators; adjusting the model structure and parameters based on the evaluation results; applying the final optimized prediction to the actual prediction task to predict the pebble coal production within the first preset time.

[0041] S2: Dynamically adjust the emission strategy and generate the emission pattern based on the prediction results and fuzzy logic control.

[0042] Specifically, the emission mode is switched according to the current working conditions and equipment load; the emission mode switching includes switching from the normal mode to the fast mode when the pebble coal hopper material level of the coal mill is detected to exceed 80% of the material level upper limit H for b consecutive times or the prediction model shows that the pebble coal production volume within the first preset time increases; when b consecutive times max When the pebble coal hopper material level is detected to exceed 30% of the material level upper limit H for the first time or the power grid enters the peak power consumption period and the current pebble coal hopper material level is within the safe range, it switches from normal mode to energy-saving mode; when the pebble coal hopper material level drops below 50% of the material level upper limit H or the fast mode lasts for more than the second preset time, it returns from fast mode to normal mode; where b is the number of detections, b max The maximum number of detections.

[0043] Furthermore, the discharge modes include normal mode, fast mode and energy-saving mode; the normal mode includes executing the standard discharge process; the standard discharge process includes the following steps: when the predetermined discharge time is reached, close the upper gate and open the lower gate to 70%; start the conveying system and set the speed to match the discharge rate of 0.8 tons / minute; continuously monitor the material level, if the material level is still higher than 0.2 meters after 5 seconds, increase the gate opening by 5%; the discharge duration defaults to 60 seconds, but can be dynamically adjusted according to the real-time material level; after the discharge is completed, close the lower gate and open the upper gate. After each discharge, check and record the actual discharge volume and time.

[0044] Furthermore, the fast mode includes opening the upper and lower gates and using negative pressure suction technology to accelerate discharge; the operating process includes the following steps: closing the upper gate and fully opening the lower gate at the same time; starting the negative pressure auxiliary system to ensure a negative pressure of -5kPa; the conveying system speed is increased to the maximum to match the discharge rate of 1.5 tons / minute; the material level is continuously monitored and updated every 2 seconds; the discharge duration defaults to 30 seconds, but can be extended in real time according to the material level; if the material level is still above 0.3 meters after 10 seconds, the air hammer system is started to assist in discharge; after the discharge is completed, close the lower gate, stop the negative pressure system, and open the upper gate; record the cause, duration and effect of this rapid discharge.

[0045] Specifically, the energy-saving mode includes utilizing gravitational potential energy to achieve slow and continuous discharge by controlling the gate opening; the operating process includes the following steps: when the predetermined discharge time is reached, slowly close the upper gate and slowly open the lower gate to 40% at the same time; the conveying system adopts an intermittent operation mode, pausing for 5 seconds after every 10 seconds of operation to reduce energy consumption; continuously monitor the material level, and if the material level does not drop significantly after 15 seconds, increase the gate opening by 3%; the discharge duration defaults to 90 seconds, but can be shortened according to actual conditions; if the material level drops rapidly during the discharge process, the gate opening is dynamically reduced; after the discharge is completed, slowly close the lower gate and slowly open the upper gate to reduce impact; record the energy consumption data of each energy-saving mode discharge for subsequent optimization.

[0046] Furthermore, according to the switching discharge mode, the gate of the stone coal hopper is controlled to open and close, and the discharge timing of adjacent coal mills is coordinated; the operation of multiple coal mills is coordinated by using distributed model predictive control, and the control parameters are optimized in real time; the relevant formula of the distributed model is as follows:

[0047]

[0048] Among them, J is the objective function value, N is the number of coal mills in the system, and H p To predict the p time domain, x i (k) is the state of the i-th coal mill at time k, is the expected state r of the i-th coal mill at time k, u i (k) is the control input of the i-th coal mill at time k, Q and R are weight matrices, λ is the penalty coefficient, I adjacent It is the penalty item for the simultaneous discharge of adjacent coal mills.

[0049] It should be noted that the distributed model formula is used to minimize the total deviation of the system so that the actual state of each coal mill is as close to the expected state as possible; this is achieved by introducing control inputs to adjust the operating parameters of each coal mill and optimize its performance; the weight matrix in the formula is used to balance the weights of state deviation and control input, ensuring that the system does not rely too much on control input while pursuing performance optimization, and maintaining system stability; the penalty coefficient and the penalty term for simultaneous emissions from adjacent coal mills are used to reduce the coordinated emissions of adjacent coal mills, prevent interference in the operation of adjacent coal mills, and improve the coordination of the overall system. The distributed model improves the robustness and fault tolerance of the system by independently optimizing each subsystem, so that the system can still maintain good performance even if some coal mills fail.

[0050] S3: According to the discharge mode, the flow state of the pebble coal is monitored in real time, the gate is controlled and the conveyor belt speed is adjusted to complete the automatic discharge of the pebble coal.

[0051] Specifically, the flow state of the pebble coal includes flow rate and speed; the adjusting the conveyor belt speed includes the following steps: real-time monitoring of the flow state of the pebble coal through a sensor installed on the conveyor belt; sending instructions to the servo motor through the control system to adjust the opening of the gate; adjusting the speed of the conveyor belt through the frequency converter according to the monitoring data and the flow state of the pebble coal.

[0052] Furthermore, based on the real-time monitoring data, it is determined whether the flow state of the pebble coal is adjusted; when the flow rate is greater than the preset flow rate, the gate opening is reduced, the discharge speed of the pebble coal is reduced, and the conveyor belt speed is reduced through the frequency converter; when the flow rate is less than the preset flow rate, the gate opening is increased, the discharge speed of the pebble coal is increased, and the conveyor belt speed is increased through the frequency converter.

[0053] It should be noted that the preset flow rate refers to the standard flow rate value set in the pebble coal automatic discharge system according to process requirements and production needs. This value is used to guide the system to maintain the discharge speed and flow rate of the pebble coal under normal operating conditions.

[0054] Furthermore, an abnormal monitoring and early warning mechanism is set up; when a blockage risk is detected, low-intensity vibration is activated in advance; if a blockage occurs, a multi-level unblocking strategy is activated;

[0055] Specifically, the multi-level dredging strategy includes the following steps: using directional sound wave technology to loosen blockages through sound waves of a specific frequency; if the specific frequency sound waves are ineffective in loosening the blockage, starting the air hammer device and using pulse control technology to optimize the knocking effect; at the same time, using image recognition technology to analyze the location and nature of the blockage, triggering an alarm and performing manual intervention.

[0056] In summary, the present invention establishes a prediction model by utilizing historical data and LSTM algorithm to accurately predict the emission interval and expected emission. Through fuzzy logic control and dynamic adjustment strategy, the optimal emission mode is generated, the flow state of stone coal is monitored and adjusted in real time, blockage is prevented, and the emission process is optimized. The overall efficient, stable and energy-saving emission is achieved, the stability and operation efficiency of the system are improved, and the operating energy consumption and equipment load are reduced.

[0057] Example 2

[0058] Reference Figure 3 , which is an embodiment of the present invention, provides a device for an automatic discharge method of pebble coal for a power plant, including: a coal mill, an upper gate of a pebble coal hopper, a pebble coal hopper, a material level sensor, an air hammer device, a lower gate of a pebble coal hopper and a conveying device; an establishment module, which analyzes the type of coal and the discharge frequency based on historical data and establishes a prediction model; a generation module, which is used to dynamically adjust the discharge strategy and generate an emission pattern according to the prediction results and fuzzy logic control; a prevention module, which is used to monitor the flow state of the pebble coal in real time according to the discharge pattern, control the gate and adjust the conveyor belt speed, and complete the automatic discharge of the pebble coal.

[0059] Example 3

[0060] Reference Figure 4 , is an embodiment of the present invention, which is different from the previous embodiment in that:

[0061] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0062] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0063] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0064] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0065] Example 4

[0066] Referring to Table 1, an embodiment of the present invention provides a characteristic decomposition gas coupling detection method for cable thermal degradation. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0067] Specifically, as shown in Table 1, the discharge interval is optimized: in normal mode, the average discharge interval is extended from 45 minutes to 52 minutes, an increase of 15.6%. This shows that the system can more accurately predict the amount of stone coal produced and avoid unnecessary frequent discharge. In energy-saving mode, the discharge interval is extended to 68 minutes, making full use of gravitational potential energy and realizing efficient use of energy. Discharge time control: The single discharge time is reduced from 75 seconds to 62 seconds in normal mode, which improves the discharge efficiency. Especially in fast mode, the discharge time is shortened to 35 seconds, which is 53.3% less than the traditional method, thanks to the application of negative pressure suction technology.

[0068] Table 1 Comparison between the present invention and the prior art

[0069]

[0070] Furthermore, blockage prevention: The frequency of blockage of the stone coal hopper has been significantly reduced, from 8.5 times per month to a minimum of 1.5 times (in energy-saving mode), a decrease of 82.4%. This fully demonstrates the effectiveness of real-time monitoring and multi-level dredging strategies. Energy efficiency: Except for the fast mode, the energy consumption indicators of other modes are lower than those of traditional control. In particular, in energy-saving mode, energy consumption is reduced to 0.62kWh / ton of coal, saving 27.1% of energy compared with traditional methods. System stability: The system stability index has been significantly improved in all modes, reaching a maximum of 0.93 (energy-saving mode), which is 29.2% higher than traditional control. This shows that the distributed model predictive control algorithm can effectively coordinate the operation of multiple coal mills and ensure the stability of the system.

[0071] Furthermore, emission efficiency: In normal mode and fast mode, emission efficiency increased by 25% and 75% respectively. This not only improves production efficiency, but also provides greater flexibility for power plants to cope with load changes. Forecast accuracy: The system maintains a high forecast accuracy of 94.8% in various modes, which provides reliable data support for dynamically adjusting emission strategies.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for automatically discharging pebble coal for power plants, characterized in that: include, Analyze coal types and emission frequencies based on historical data and establish a prediction model; Dynamically adjust emission strategies and generate emission patterns based on prediction results and fuzzy logic control; According to the discharge mode, the flow state of the pebble coal is monitored in real time, the gate is controlled and the conveyor belt speed is adjusted to complete the automatic discharge of the pebble coal.

2. The automatic discharge method of pebble coal for power plants according to claim 1, characterized in that: The prediction model includes: Collect historical emission data and process them using a moving median filter method; Based on the processed historical emissions, a prediction model is constructed using the LSTM algorithm to predict the amount of pebble coal produced within a first preset time; Classify emission levels according to the amount of stone coal produced, set emission time intervals and expected emission amounts; The relevant formula for the emission levels is as follows: Among them, Level is the emission level, is the number of stone coal hoppers per hour, t1 is the discharge time interval of level 1, t2 is the discharge time interval of level 2, and t3 is the discharge time interval of level 3; Based on the expected emission volume, the heuristic algorithm is used to automatically generate emission strategies and dynamically adjust the emission frequency and time; Apply dynamic programming algorithm to optimize emission time distribution and balance working condition energy consumption and equipment load; Fuzzy logic control is introduced to continuously adjust the discharge parameters and generate the discharge pattern according to the real-time material level change rate and prediction deviation.

3. The automatic discharge method of pebble coal for power plants as claimed in claim 2, characterized in that: The dynamic adjustment of the emission frequency and time comprises the following steps: According to the coal type addition situation and prediction results, set the discharge time interval t and start timing; Record the material level h of the coal hopper of the coal mill at t-1 minute; When the material level of the pebble coal hopper at t-1 minute is greater than the material level upper limit H, the discharge time is reduced by 30 seconds, and the pebble coal hopper material level discharge time of the coal mill is reset to optimize the discharge procedure; When the material level of the pebble coal hopper at t-1 minute is less than the material level upper limit H, the material level upper limit H is reduced to 1 / 2H, and the material level of the pebble coal hopper is continued to be judged; If the material level of the gravel coal hopper at t-1 minute is less than 1 / 2H, increase the discharge time by 30S, reset the coal mill discharge time, and optimize the discharge procedure; If the gravel coal hopper material level at t-1 minute is greater than or equal to 1 / 2H, the coal mill discharge time t is reset before the next discharge; If the detection time reaches t seconds, the upper gate of the pebble coal hopper is closed, the lower gate of the pebble coal hopper is opened, and the two adjacent coal mills are prohibited from discharging pebble coal; If the material level sensor is greater than or equal to M meters after the detection discharge t+5 seconds, the air hammer device will be started, and after 10 seconds, the material level sensor will be detected to be less than M meters; If the air hammer device is started to detect the discharge for 5 seconds and the material level sensor is greater than or equal to M meters, the alarm is triggered, the blockage of the stone coal hopper and the material level sensor are checked, and the program ends; If the air hammer device is started to detect the discharge for 5 seconds and the material level sensor is less than M meters, the air hammer device will be stopped, the lower gate of the pebble coal hopper will be closed, and the upper gate of the pebble coal hopper will be opened to allow the two adjacent coal mills to discharge pebble coal, and this discharge will end; If the discharge is detected t+5 seconds later and the material level sensor is less than or equal to M meters, the air hammer device will be disabled, the lower gate of the gravel coal hopper will be closed, and the upper gate of the gravel coal hopper will be opened to allow the two adjacent coal mills to discharge gravel coal, and this discharge will end.

4. The automatic discharge method of pebble coal for power plants as claimed in claim 3, characterized in that: Switch the discharge mode according to the current working conditions and equipment load; the discharge mode includes normal mode, fast mode and energy-saving mode; the normal mode includes executing the standard discharge process; the fast mode includes opening the upper and lower gates and using negative pressure suction technology to accelerate the discharge; the energy-saving mode includes using gravitational potential energy to achieve slow and continuous discharge by controlling the gate opening; the switching discharge mode includes, When the pebble coal hopper material level of the coal mill is detected to exceed 80% of the material level upper limit H for b consecutive times or the prediction model shows that the pebble coal production amount within the first preset time increases, the normal mode is switched to the fast mode; When continuous b max When it is detected that the material level of the pebble coal hopper exceeds 30% of the material level upper limit H for the first time or the power grid enters the peak power consumption period and the current material level of the pebble coal hopper is within the safe range, it switches from normal mode to energy-saving mode; When the material level of the stone coal hopper drops below 50% of the material level upper limit H or the fast mode lasts for more than the second preset time, the fast mode returns to the normal mode; Among them, b is the number of detections, b max The maximum number of detections.

5. The automatic discharge method of pebble coal for power plants as claimed in claim 4, characterized in that: Also includes, According to the switching discharge mode, control the gate opening and closing of the stone coal hopper and coordinate the discharge sequence of adjacent coal mills; Use distributed model predictive control to coordinate the operation of multiple coal mills and optimize control parameters in real time; The relevant formula of the distributed model is as follows: Among them, J is the objective function value, N is the number of coal mills in the system, and H p To predict the p time domain, x i (k) is the state of the i-th coal mill at time k, is the expected state r of the i-th coal mill at time k, u i (k) is the control input of the i-th coal mill at time k, Q and R are weight matrices, λ is the penalty coefficient, I adjacent It is the penalty item for the simultaneous discharge of adjacent coal mills.

6. The automatic discharge method of pebble coal for power plants as claimed in claim 1, characterized in that: The flow state of the stone coal includes flow rate and speed; and the adjusting the conveyor belt speed includes the following steps: The flow status of the stone coal is monitored in real time through sensors installed on the conveyor belt; According to the real-time monitoring data, determining whether the flow state of the pebble coal is to be adjusted; The control system sends instructions to the servo motor to adjust the opening of the gate; According to the monitoring data and the flow status of the stone coal, the speed of the conveyor belt is adjusted through the frequency converter; Set up abnormal monitoring and early warning mechanisms; When a blockage risk is detected, low-intensity vibration is activated in advance; if a blockage occurs, a multi-level unblocking strategy is activated; The multi-level unblocking strategy includes the following steps: Uses directional sonic technology to loosen blockages through sound waves of specific frequencies; If the specific frequency sound waves are ineffective in loosening the blockage, the air hammer device is activated and the pulse control technology is used to optimize the knocking effect; At the same time, image recognition technology is used to analyze the location and nature of the blockage, trigger an alarm and perform manual intervention.

7. The automatic discharge method of pebble coal for power plants as claimed in claim 6, characterized in that: The adjustment includes, when the flow rate is greater than the preset flow rate, reducing the gate opening, reducing the discharge speed of the pebble coal, and reducing the conveyor belt speed through the frequency converter; when the flow rate is less than the preset flow rate, increasing the gate opening, increasing the discharge speed of the pebble coal, and increasing the conveyor belt speed through the frequency converter.

8. A device using the automatic discharge method of pebble coal for power plants as claimed in any one of claims 1 to 7, characterized in that: include: Establish a module to analyze coal types and emission frequencies based on historical data and establish a prediction model; A generation module is used to dynamically adjust the emission strategy and generate emission patterns based on the prediction results and fuzzy logic control; The prevention module is used to monitor the flow state of the pebble coal in real time according to the discharge mode, control the gate and adjust the conveyor belt speed, and complete the automatic discharge of the pebble coal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for automatic discharge of stone coal for power plants according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for automatic discharge of pebble coal for power plants according to any one of claims 1 to 7 are implemented.

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