Fire grate rotation change detection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of incinerators, and provides a fire grate rotation change detection method, device and equipment and a storage medium. Wherein the rotation angle is obtained through an angular displacement sensor preset on the swing arm part; calculating the linear displacement length of the output end of the oil cylinder according to the rotation angle; and the rotating speed of the fire grate is calculated according to the rotating angle and the linear displacement length. The rotation angle is obtained through the angular displacement sensor preset on the swing arm part, and the problem that the sensor is prone to being affected by temperature and damaged is solved. The linear displacement length of the output end of the oil cylinder is calculated, so that the linear displacement length of the output end of the oil cylinder is controlled; according to the rotation angle of the swing arm piece and the linear displacement length of the output end of the oil cylinder, the rotation speed of the fire grate is calculated, control over the rotation speed of the fire grate in the incinerator is achieved, and the problem that when the fire grate is detected, the rotation speed of the fire grate cannot be detected and monitored in real time is solved.

Description

Technical Field

[0001] The present application relates to the technical field of incinerators, and in particular to a method, device, equipment and storage medium for detecting grate rotation changes. Background Art

[0002] An incinerator is a device used to process solid waste or biomass, decomposing organic matter through high-temperature oxidation, thereby reducing the volume of waste and generating energy; the grate plays a vital role in the incinerator, supporting the fuel and waste while allowing air to flow through to promote the combustion reaction. Over time, the incinerator will be subject to wear or corrosion, resulting in poor incineration results; therefore, the rotation speed of the grate needs to be adjusted in a timely manner to ensure the effective operation and safety of the incinerator.

[0003] In related technical means, a displacement sensor or a magnetic switch is installed on the incinerator to detect the rotation speed of the grate, so as to determine whether the grate meets the working requirements of the incinerator, whether there are any faults such as jamming or shaking. The displacement sensor or magnetic switch on the grate can be used to detect and deal with grate faults in a timely manner, avoid affecting the efficiency and quality of garbage incineration, and extend its service life.

[0004] With regard to the above technical scheme, although the displacement sensor or magnetic switch on the grate can timely detect and handle grate failures to avoid affecting the efficiency and quality of garbage incineration, the magnetic switch is unable to detect the real-time position of the grate during rotation; and the displacement sensor is usually installed in the oil cylinder, which is easily affected by high temperature and easily damaged. After damage, the oil cylinder needs to be dismantled and repaired as a whole, affecting the incineration efficiency of the boiler; therefore, the conventional grate detection method is unable to detect and monitor the grate rotation speed in real time, and the sensor is easily affected by temperature and easily damaged, which leads to the incinerator being unable to control the incineration process, affecting the incineration stability of the boiler. Summary of the invention

[0005] In order to improve the problem that the grate rotation speed cannot be detected and monitored in real time during grate detection, and the sensor is easily affected by temperature and easily damaged, the present application provides a method for detecting grate rotation changes.

[0006] A method for detecting grate rotation changes is applied to an incinerator, the incinerator comprising a grate, a swing arm and an oil cylinder; wherein one end of the grate shaft is connected to the center of the swing arm, and the output end of the oil cylinder is connected to the swing arm of the swing arm to drive the grate to rotate, the method comprising: obtaining the rotation angle of the swing arm; wherein the rotation angle is obtained by an angular displacement sensor preset on the swing arm; calculating the linear displacement length of the output end of the oil cylinder according to the rotation angle, so as to control the linear displacement length of the output end of the oil cylinder; calculating the rotation speed of the grate according to the rotation angle and the linear displacement length, so that the grate rotation changes can be controlled in real time.

[0007] As a preferred embodiment, the step of obtaining the rotation angle of the swing arm comprises: the angular displacement sensor is fixed to an end of the swing arm away from the grate, and the rotation axis of the angular displacement sensor is connected to the center of the swing arm.

[0008] As a preferred solution, the calculation formula for calculating the linear displacement length of the cylinder output end based on the rotation angle is as follows: L=R×(θ-sinθ); wherein L is the linear displacement length of the cylinder output end, R is the length of the swing arm, and θ is the rotation angle of the swing arm.

[0009] As a preferred solution, the calculation formula for calculating the rotation speed of the grate according to the rotation angle and the linear displacement length is as follows: Where V is the grate rotation speed, is the derivative of the linear displacement length of the cylinder output end with respect to time, and ω is the angular velocity of the swing arm.

[0010] As a preferred embodiment, after the step of calculating the rotation speed of the grate according to the rotation angle and the linear displacement length, the method further comprises: inputting the rotation angle of the swing arm, the linear displacement length of the output end of the cylinder and the grate rotation speed into a preset deep learning algorithm; wherein the deep learning algorithm is a convolutional neural network; wherein the convolutional neural network is capable of identifying patterns and trends in the rotation angle and the linear displacement length data, and then predicting the optimal parameters for the grate rotation; the deep learning algorithm is trained based on historical operating data, and the operating data includes the rotation angle of the swing arm, the linear displacement length of the output end of the cylinder and the grate rotation speed.

[0011] As a preferred embodiment, after the step of predicting the optimal linear displacement length of the cylinder output end and the corresponding grate rotation speed, it includes: obtaining the actual rotation speed of the grate, and comparing the actual rotation speed with the predicted grate rotation speed of the deep learning algorithm; if there is a deviation between the actual grate rotation speed and the predicted grate rotation speed, automatically adjusting the input parameters of the deep learning model according to a preset feedback control model; wherein the input parameters include the rotation angle, the linear displacement length and the rotation speed.

[0012] As a preferred scheme, after the step of calculating the rotation speed of the grate according to the rotation angle and the linear displacement length so that the grate rotation change can be controlled in real time, it includes: obtaining the rotation period of the grate for one rotation, inputting the rotation period into a preset fault detection model, and outputting a rotation time variation parameter and a rotation amplitude variation parameter; judging the two conditions of cylinder wear and grate jamming according to the rotation time variation parameter; if the rotation time variation parameter is within the preset standard time parameter range, comparing the rotation time variation parameter with the standard time parameter range, and then analyzing the wear of the cylinder according to the comparison result, and evaluating the service life of the grate according to the wear condition; wherein the standard time parameter range is the upper limit and lower limit of the standard time for the grate to rotate one circle; if the rotation time variation parameter is within the preset standard time parameter range, comparing the rotation time variation parameter with the standard time parameter range, and then analyzing the wear of the cylinder according to the comparison result, and evaluating the service life of the grate according to the wear condition; wherein the standard time parameter range is the upper limit and lower limit of the standard time for the grate to rotate one circle; If the number is outside the preset standard time parameter range, the grate rotation is determined to be abnormal, and the preset grate jamming fault warning is triggered to prompt timely maintenance of the grate; the connection between the swing arm and the cylinder is analyzed according to the rotation amplitude change parameter; if the rotation amplitude change parameter is within the preset standard amplitude parameter range, the rotation amplitude change parameter is compared with the standard amplitude parameter range, and then the connection between the swing arm and the cylinder is analyzed according to the comparison result, and the aging of the connection between the swing arm and the cylinder is evaluated according to the connection condition; wherein, the standard amplitude parameter range is the upper limit position and the lower limit position of the amplitude when the grate rotates; if the rotation amplitude change parameter is outside the preset standard amplitude parameter range, the grate rotation is determined to be abnormal, and the preset connection fault warning is triggered to prompt maintenance or replacement of the connection between the swing arm and the cylinder.

[0013] The present application also provides a grate rotation change detection device, comprising a grate of an incinerator, characterized in that it comprises a swing arm and an oil cylinder; one end of the grate shaft is connected to the center of the swing arm, and the output end of the oil cylinder is connected to the swing arm of the swing arm to drive the grate to rotate;

[0014] Also includes:

[0015] An angle acquisition module, including an angular displacement sensor for acquiring the rotation angle of the swing arm member; wherein the angular displacement sensor is preset on the swing arm member;

[0016] A displacement calculation module, used to calculate the linear displacement length of the output end of the oil cylinder according to the rotation angle, so as to control the linear displacement length of the output end of the oil cylinder;

[0017] The speed calculation module is used to calculate the rotation speed of the grate according to the rotation angle and the linear displacement length, so that the rotation change of the grate can be controlled.

[0018] The present application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, any one of the above-mentioned methods for detecting grate rotation changes is implemented.

[0019] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor is enabled to execute a method for detecting grate rotation changes as described in any one of the above.

[0020] Compared with the prior art, this application has the following beneficial effects:

[0021] High precision and real-time performance: By directly obtaining the rotation angle through the angular displacement sensor preset on the swing arm, this method can accurately reflect the rotation state of the grate in real time. Compared with other indirect measurement methods, it reduces the accumulation of errors and improves the response speed and accuracy of the system.

[0022] Automation and intelligence: The linear displacement length of the cylinder output end is directly calculated based on the rotation angle, and the movement of the cylinder is controlled accordingly, realizing the automatic control of the grate rotation process. This not only reduces the burden of manual operation, but also improves the accuracy and stability of control, making the operation of the incinerator more intelligent. Dynamic adjustment and optimization: The rotation speed of the grate is calculated in real time, so that the system can dynamically adjust the control strategy according to the actual movement of the grate. This helps to optimize the incineration process, improve combustion efficiency, reduce energy waste, and may reduce the emission of harmful substances.

[0023] Fault warning and diagnosis: By real-time monitoring of the rotation angle and linear displacement length, the system can promptly detect abnormal conditions, such as abnormal rotation speed, unstable cylinder output, etc., and thus carry out fault warning and diagnosis in advance. This helps reduce the occurrence of equipment failures and improve the reliability and service life of the equipment.

[0024] Flexibility and scalability: This detection method is based on sensors and algorithms, and has high flexibility and scalability. In the future, the performance of the system can be further improved by upgrading the algorithm or adding sensors to adapt to the needs of incinerators of different sizes and types.

[0025] Energy saving and emission reduction: By precisely controlling the rotation speed and position of the grate, the combustion process of the fuel can be optimized, pollutants produced by incomplete combustion can be reduced, and thermal efficiency can be improved, which helps to achieve the goal of energy saving and emission reduction.

[0026] Real-time detection, not easy to damage: The rotation angle is obtained by the angular displacement sensor preset on the swing arm, which improves the problem that the sensor is easily affected by temperature and easily damaged.

[0027] The present invention realizes the control of the linear displacement length of the oil cylinder output end by calculating the linear displacement length of the oil cylinder output end; calculates the rotation speed of the grate according to the rotation angle of the swing arm and the linear displacement length of the oil cylinder output end, realizes the control of the rotation speed of the grate in the incinerator, and improves the problem that the grate rotation speed cannot be detected and monitored in real time when the grate is detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative labor.

[0029] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0030] Figure 1 It is a flow chart of a method for detecting grate rotation change provided by an embodiment of the present invention;

[0031] Figure 2 is a schematic block diagram of the structure of a grate rotation change detection device provided by an embodiment of the present invention;

[0032] Figure 3 It is a schematic block diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0033] Description of reference numerals:

[0034] 10. Grate rotation change detection device; 11. Angle acquisition module; 12. Displacement calculation module; 13. Speed ​​calculation module; 20. Electronic equipment; 21. Memory; 22. Processor. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0037] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0038] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0039] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0040] Embodiment 1:

[0041] like Figure 1 As shown, a method for detecting grate rotation changes provided in an embodiment of the present application is applied to an incinerator, wherein the incinerator comprises a grate, a swing arm member and an oil cylinder; wherein one end of the grate shaft is connected to the center of the swing arm member, and the output end of the oil cylinder is connected to the swing arm of the swing arm member to drive the grate to rotate, and the method comprises steps S100 to S300.

[0042] Step S100, obtaining the rotation angle of the swing arm member; wherein the rotation angle is obtained by an angular displacement sensor preset on the swing arm member.

[0043] In this step, the rotation angle of the swing arm member is monitored in real time by an angular displacement sensor installed on the swing arm member. In this embodiment, the angular displacement sensor is preferably an incremental encoder. In other embodiments, a sensor with angle measurement can be selected to ensure that the acquired angle data has high precision and high reliability, and realize real-time monitoring and data acquisition to provide accurate basic data for subsequent control steps.

[0044] For example, the rotation angle data obtained by the angular displacement sensor can be displayed in real time on the monitoring interface of the control system. The operator can intuitively understand the real-time rotation status of the swing arm and provide a basis for adjusting the control strategy.

[0045] Step S200, calculating the linear displacement length of the output end of the oil cylinder according to the rotation angle, thereby controlling the linear displacement length of the output end of the oil cylinder.

[0046] In this step, the control system calculates the required linear displacement length of the output end of the oil cylinder through a preset mathematical model according to the swing arm rotation angle obtained in step S100. The calculation process takes into account the physical characteristics of the swing arm and the dynamic relationship of the system, ensuring that the control of the linear displacement length of the output end is both accurate and efficient.

[0047] For example, if the rotation angle of the swing arm increases, the control system will calculate the corresponding increased linear displacement length of the cylinder output end and adjust the cylinder output accordingly to match the rotation requirements of the swing arm. This adjustment process can achieve stepless speed change and ensure the smoothness and accuracy of the grate rotation.

[0048] Step S300, calculating the rotation speed of the grate according to the rotation angle and the linear displacement length, so that the grate rotation change can be controlled in real time.

[0049] In this step, the control system takes the rotation angle of the swing arm and the linear displacement length of the cylinder output end as input parameters to calculate the rotation speed of the grate. This calculation process not only takes into account the current operating conditions, but also predicts the optimal speed of the grate rotation, thus ensuring the control and efficient regulation of the grate rotation speed.

[0050] For example, if the system detects that the temperature distribution in the furnace is uneven, the control system can improve the temperature distribution in the furnace by adjusting the rotation speed of the grate. This dynamic adjustment process significantly improves the incineration efficiency and the uniformity of the temperature in the furnace, thereby optimizing the combustion process.

[0051] In the above embodiment, the rotation angle is obtained by an angular displacement sensor preset on the swing arm member, thereby improving the problem that the sensor is easily affected by temperature and easily damaged; then the linear displacement length of the output end of the cylinder is calculated to control the linear displacement length of the output end of the cylinder; the rotation speed of the grate is calculated according to the rotation angle of the swing arm member and the linear displacement length of the output end of the cylinder, thereby realizing the control of the rotation speed of the grate in the incinerator, and improving the problem that the grate rotation speed cannot be detected and monitored in real time when the grate is detected.

[0052] Embodiment 2:

[0053] In step S100, the angular displacement sensor is fixed to an end of the swing arm away from the grate, and the rotation axis of the angular displacement sensor is connected to the center of the swing arm.

[0054] This layout design ensures that the angular displacement sensor can accurately capture the rotation angle change of the swing arm, and does not directly contact the oil cylinder, further improving the problem that the sensor is easily affected by temperature and easily damaged. Because the angle change at the far end of the swing arm is more significant, the sensitivity and accuracy of the measurement are improved. At the same time, because the angular displacement sensor is directly connected to the center of the swing arm, the measurement error caused by the deviation of the installation position can be avoided, and the control accuracy of the system is improved.

[0055] For example, installing the angular displacement sensor at the end away from the grate can more stably and accurately monitor slight changes in the rotation angle when the swing arm rotates at a large angle. This is crucial for the subsequent calculation of the linear displacement length at the output end of the cylinder and the grate rotation speed, ensuring that the implementation of the control strategy is more accurate and efficient.

[0056] In step S200, the linear displacement length of the output end of the oil cylinder is calculated according to the rotation angle using the following formula:

[0057] L = R × (θ - sinθ);

[0058] Wherein, L is the linear displacement length of the output end of the cylinder, R is the length of the swing arm, and θ is the rotation angle of the swing arm.

[0059] Through this calculation formula, the linear displacement length of the oil cylinder can be directly calculated from the rotation angle of the swing arm. This calculation method not only simplifies the control algorithm, but also improves the control accuracy and response speed. At the same time, considering the nonlinear relationship of θ-sinθ, the rotational motion is effectively converted into linear displacement, providing a reliable theoretical basis for the control of the oil cylinder.

[0060] For example, when the rotation angle of the swing arm changes, the new displacement length of the cylinder output end can be quickly calculated through this formula, achieving a quick response to the cylinder action. This not only improves the dynamic adjustment capability of the system, but also ensures the stability and accuracy of the grate rotation speed.

[0061] In step S300, the calculation formula for calculating the rotation speed of the grate according to the rotation angle and the linear displacement length is as follows:

[0062]

[0063] Where V is the grate rotation speed, is the derivative of the linear displacement length of the cylinder output end with respect to time, and ω is the angular velocity of the swing arm.

[0064] Through this calculation formula, the rotation dynamics of the swing arm and the change in the linear displacement length of the cylinder are directly linked, providing a mathematical model for the control of the grate rotation speed. Taking into account the effect of the rotation angle on the speed, the rotation speed of the grate can be adjusted more accurately to adapt to different incineration conditions and changes in the furnace load.

[0065] For example, when the incinerator needs to quickly adjust the grate rotation speed to cope with a sudden increase in waste load, the control system can instantly adjust the linear displacement speed of the cylinder output end according to the formula, thereby quickly and accurately changing the grate rotation speed to ensure the efficiency of the incinerator and the stability of the environment inside the incinerator. This dynamic adjustment mechanism not only improves the response speed and adaptability of the incinerator, but also helps to improve combustion efficiency and environmental protection performance, thereby achieving dual optimization of economy and environmental protection.

[0066] After step S300, the method includes inputting the rotation angle of the swing arm, the linear displacement length of the cylinder output end, and the grate rotation speed into a preset deep learning algorithm to predict the optimal linear displacement length of the cylinder output end and the corresponding grate rotation speed; wherein the deep learning algorithm is trained based on historical operating data, and the operating data includes the rotation angle of the swing arm, the linear displacement length of the cylinder output end, and the grate rotation speed.

[0067] By inputting the data of the swing arm rotation angle, the linear displacement length of the cylinder output end, and the grate rotation speed into the deep learning algorithm, the algorithm can learn and identify the optimal control strategy and automatically predict the linear displacement length of the cylinder output end and the grate rotation speed that are most suitable for the current load conditions. This deep learning-based control method enables the system to dynamically adapt to various operating conditions and achieve more intelligent and efficient grate rotation control, thereby optimizing combustion efficiency and reducing energy consumption.

[0068] For example, when an incinerator is suddenly faced with a large amount of waste load, the deep learning algorithm can quickly analyze the current operating data and predict the need to increase the linear displacement length of the cylinder output end and increase the grate rotation speed to ensure sufficient combustion space and time, ensuring that the waste can be completely burned while maintaining the stability of the furnace temperature.

[0069] Among them, the deep learning algorithm is a convolutional neural network; among them, the convolutional neural network can identify patterns and trends in the rotation angle and linear displacement length data, and then predict the optimal parameters of grate rotation.

[0070] By applying convolutional neural networks (CNN), the algorithm is able to learn complex patterns of grate rotation control from a large amount of historical data, including how to adjust rotation parameters according to different incinerator load conditions. The application of convolutional neural networks enables the prediction model to automatically identify and extract key features without manual setting, greatly improving the accuracy and efficiency of the control strategy.

[0071] For example, a trained convolutional neural network can learn to recognize when the grate rotation speed needs to be increased to accommodate a sudden increase in waste volume, or when it needs to be slowed down to improve combustion efficiency, thereby achieving more refined grate rotation control and ensuring the optimization of the combustion process in the furnace.

[0072] The actual rotation speed of the grate is obtained, and the actual rotation speed is compared with the predicted grate rotation speed of the deep learning algorithm; if there is a deviation between the actual grate rotation speed and the predicted grate rotation speed, the input parameters of the deep learning model are automatically adjusted according to the preset feedback control model; wherein the input parameters include rotation angle, linear displacement length and rotation speed.

[0073] Through this feedback mechanism, the system can continuously correct and optimize the performance of the deep learning model, ensuring that the control strategy is dynamically adjusted as the actual operating conditions change. This self-learning and adjustment process greatly enhances the adaptability and flexibility of the system, making the grate rotation control more precise, thereby improving the incineration efficiency and environmental protection level.

[0074] For example, if the actual rotation speed is lower than the predicted speed due to changes in the properties of the materials in the furnace, the system will automatically identify this deviation and adjust the input parameters to narrow the gap between the actual and predicted speeds, such as increasing the linear displacement length of the cylinder output end or adjusting the rotation speed. This instant feedback adjustment ensures that the incinerator can continue to operate in the optimal state under different working conditions, improves energy efficiency and reduces harmful emissions, reflecting a high degree of intelligence and environmental awareness.

[0075] After step S300, it also includes obtaining the rotation period of the grate for one rotation, inputting the rotation period into a preset fault detection model, and outputting a rotation time variation parameter and a rotation amplitude variation parameter; judging the two situations of oil cylinder wear and grate jamming according to the rotation time variation parameter; if the rotation time variation parameter is within the preset standard time parameter range, comparing the rotation time variation parameter with the standard time parameter range, and then analyzing the wear of the oil cylinder according to the comparison result, and evaluating the service life of the grate according to the wear; wherein, the standard time parameter range is the upper and lower limits of the standard time for the grate to rotate one circle; if the rotation time variation parameter is outside the preset standard time parameter range, it is determined that the grate rotation is abnormal, and the preset grate jamming fault warning is triggered to prompt timely maintenance of the grate jam.

[0076] The connection condition between the swing arm and the oil cylinder is analyzed according to the rotation amplitude variation parameter; if the rotation amplitude variation parameter is within the preset standard amplitude parameter range, the rotation amplitude variation parameter is compared with the standard amplitude parameter range, and then the connection condition between the swing arm and the oil cylinder is analyzed according to the comparison result, and the aging condition of the connection between the swing arm and the oil cylinder is evaluated according to the connection condition; wherein, the standard amplitude parameter range is the upper limit position and the lower limit position of the amplitude when the grate rotates; if the rotation amplitude variation parameter is outside the preset standard amplitude parameter range, it is determined that the grate rotation is abnormal, and the preset connection fault warning is triggered to prompt the inspection or replacement of the connection between the swing arm and the oil cylinder.

[0077] By monitoring the rotation cycle of the grate for one revolution and combining it with the preset fault detection model, the fault detection model is trained based on the historical rotation cycle of the grate for one revolution, so that the fault detection model can accurately output the real-time rotation time change parameters and the real-time rotation amplitude change parameters, so as to timely discover the wear of the oil cylinder, the jamming of the grate, and the connection problem between the swing arm and the oil cylinder. It helps to identify faults in advance, prevent unexpected shutdowns and equipment damage, and ensure the continuous and stable operation of the incinerator.

[0078] For example, if the system detects that the real-time rotation time variation parameter is not within the standard time parameter range, it can infer that the grate rotation is abnormal, triggering the preset grate jamming fault warning to prompt timely maintenance of the grate. Similarly, if the rotation amplitude variation parameter exceeds the normal range, the system can determine that the connection between the swing arm and the cylinder has aged or damaged and needs to be repaired. Based on the combination of deep learning and fault detection models, the system can improve the monitoring accuracy of equipment status, reduce maintenance costs, and improve overall operating efficiency.

[0079] Embodiment 3:

[0080] 9. As Figure 2 As shown, the present application also discloses a grate rotation change detection device 10, comprising a grate of an incinerator, comprising a swing arm and an oil cylinder; one end of the grate shaft is connected to the center of the swing arm, and the output end of the oil cylinder is connected to the swing arm of the swing arm to drive the grate to rotate;

[0081] It includes an angle acquisition module 11, a displacement calculation module 12 and a speed calculation module 13; wherein the angle acquisition module 11 is mainly used to acquire the rotation angle of the swing arm; wherein the rotation angle is acquired by an angular displacement sensor, and the angular displacement sensor is preset on the swing arm; the displacement calculation module 12 is mainly used to calculate the linear displacement length of the output end of the cylinder according to the rotation angle, so as to control the linear displacement length of the output end of the cylinder; the speed calculation module 13 is mainly used to calculate the rotation speed of the grate according to the rotation angle and the linear displacement length, so as to control the rotation change of the grate.

[0082] The grate rotation change detection device 10 comprehensively utilizes modern sensing technology and advanced computing methods, which not only improves the efficiency of data collection and processing, but also ensures the accuracy and stability of grate rotation control, thereby optimizing the operating efficiency and safety of the incinerator and significantly improving the overall performance and reliability.

[0083] It should be noted that, technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned grate rotation change detection method embodiment, and will not be repeated here.

[0084] Embodiment 4:

[0085] like Figure 3 As shown, the present application also discloses an electronic device 20, including a memory 21 and a processor 22, wherein the memory 21 stores a computer program that can be run on the processor 22, and when the processor 22 executes the computer program, a method for detecting grate rotation changes in Example 1 is implemented.

[0086] By integrating the computer program into the electronic device 20, the device can automatically perform the measurement of the rotation angle of the grate, the calculation of the linear displacement length of the cylinder output end, and the dynamic adjustment of the grate rotation speed, thereby realizing automatic control. This automatic control not only greatly reduces the burden on the operator, but also greatly improves the accuracy and efficiency of the operation, and further ensures the stable and reliable operation of the incinerator under various working conditions.

[0087] Embodiment 5:

[0088] The present application also discloses a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the processor executes a method for detecting grate rotation changes as in Example 1.

[0089] By deploying the computer program on a computer-readable storage medium, precise rotation control strategies can be implemented on a wider range of equipment, making the application of the technology more flexible and extensive. In addition, the use of the storage medium further promotes the standardization and modularization of the technology, making it easier to deploy and optimize in incinerators of different sizes or types, helping to promote the control technology and improve waste treatment efficiency and environmental standards.

[0090] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting grate rotation changes, characterized in that: Applied to an incinerator, the incinerator comprises a grate, a swing arm and an oil cylinder; wherein one end of the grate shaft is connected to the center of the swing arm, and the output end of the oil cylinder is connected to the swing arm of the swing arm to drive the grate to rotate, and the method comprises: Acquire the rotation angle of the swing arm member; wherein the rotation angle is acquired by an angular displacement sensor preset on the swing arm member; Calculating the linear displacement length of the output end of the oil cylinder according to the rotation angle to control the linear displacement length of the output end of the oil cylinder; The rotation speed of the grate is calculated according to the rotation angle and the linear displacement length, so that the rotation change of the grate can be controlled in real time.

2. A method for detecting grate rotation changes according to claim 1, characterized in that: The step of obtaining the rotation angle of the swing arm member comprises: The angular displacement sensor is fixed to one end of the swing arm away from the grate, and the rotation axis of the angular displacement sensor is connected to the center of the swing arm.

3. A method for detecting grate rotation changes according to claim 1, characterized in that: The calculation formula for calculating the linear displacement length of the output end of the oil cylinder according to the rotation angle is as follows: L = R × (θ - sinθ); Wherein, L is the linear displacement length of the output end of the cylinder, R is the length of the swing arm, and θ is the rotation angle of the swing arm.

4. A method for detecting grate rotation changes according to claim 3, characterized in that: The calculation formula for calculating the rotation speed of the grate according to the rotation angle and the linear displacement length is as follows: Where V is the grate rotation speed, is the derivative of the linear displacement length of the cylinder output end with respect to time, and ω is the angular velocity of the swing arm.

5. A method for detecting grate rotation changes according to claim 1, characterized in that: After the step of calculating the rotation speed of the grate according to the rotation angle and the linear displacement length, the method further comprises: Inputting the data sets of the swing arm rotation angle, the linear displacement length of the cylinder output end and the grate rotation speed into a preset deep learning algorithm; wherein the deep learning algorithm is a convolutional neural network; Based on the convolutional neural network, the patterns and trends in the rotation angle and the linear displacement length data are identified, and then the optimal parameters of the grate rotation are predicted; the deep learning algorithm is trained based on historical operating data, and the operating data includes the rotation angle of the swing arm, the linear displacement length of the cylinder output end, and the grate rotation speed.

6. A method for detecting grate rotation changes according to claim 5, characterized in that: After the step of predicting the optimal linear displacement length of the oil cylinder output end and the corresponding grate rotation speed, the method further comprises: Obtaining an actual rotation speed of the grate, and comparing the actual rotation speed with the predicted grate rotation speed of the deep learning algorithm; If there is a deviation between the actual grate rotation speed and the predicted grate rotation speed, the input parameters of the deep learning model are automatically adjusted according to a preset feedback control model; wherein the input parameters include the rotation angle, the linear displacement length and the rotation speed.

7. A method for detecting grate rotation changes according to claim 4, characterized in that: After the step of calculating the rotation speed of the grate according to the rotation angle and the linear displacement length so that the grate rotation change is controlled in real time, the method further comprises: Obtaining a rotation period of one revolution of the grate, inputting the rotation period into a preset fault detection model, and outputting a rotation time variation parameter and a rotation amplitude variation parameter; According to the rotation time variation parameter, the wear of the oil cylinder and the grate jamming are judged; If the rotation time variation parameter is within the preset standard time parameter range, the rotation time variation parameter is compared with the standard time parameter range, and then the wear of the oil cylinder is analyzed according to the comparison result, and the service life of the grate is evaluated according to the wear condition; wherein the standard time parameter range is the upper limit and the lower limit of the standard time for the grate to rotate one circle; If the rotation time variation parameter is outside the preset standard time parameter range, the grate rotation is determined to be abnormal, and a preset grate jamming fault warning is triggered to prompt timely maintenance of the grate; Analyze the connection between the swing arm and the oil cylinder according to the rotation amplitude variation parameter; If the rotation amplitude variation parameter is within the preset standard amplitude parameter range, the rotation amplitude variation parameter is compared with the standard amplitude parameter range, and then the connection between the swing arm and the oil cylinder is analyzed according to the comparison result, and the aging condition of the connection between the swing arm and the oil cylinder is evaluated according to the connection condition; wherein the standard amplitude parameter range is the upper limit position and the lower limit position of the amplitude when the grate rotates; If the rotation amplitude variation parameter is outside the preset standard amplitude parameter range, the grate rotation is determined to be abnormal, and a preset connection fault warning is triggered to prompt the connection between the swing arm and the cylinder to be repaired or replaced.

8. A grate rotation change detection device, comprising a grate of an incinerator, characterized in that: It comprises a swing arm and an oil cylinder; one end of the grate shaft is connected to the center of the swing arm, and the output end of the oil cylinder is connected to the swing arm of the swing arm to drive the grate to rotate; Also includes: An angle acquisition module, including an angular displacement sensor for acquiring the rotation angle of the swing arm member; wherein the angular displacement sensor is preset on the swing arm member; A displacement calculation module, used to calculate the linear displacement length of the output end of the oil cylinder according to the rotation angle, so as to control the linear displacement length of the output end of the oil cylinder; The speed calculation module is used to calculate the rotation speed of the grate according to the rotation angle and the linear displacement length, so that the rotation change of the grate can be controlled.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the method for detecting grate rotation changes according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the processor is enabled to execute a method for detecting grate rotation changes as claimed in any one of claims 1 to 7.

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