A coal mill explosion early warning method for a thermal power plant

Abstract

The application discloses a coal mill explosion early warning method for a thermal power plant, which comprises the following steps: setting monitoring points and installing corresponding detection devices to monitor the temperature, air pressure, air volume, gas concentration and vibration parameters of key equipment of the coal mill in real time; inserting the parameter data into a coal dust explosion model according to the classified information of the parameter data to calculate and determine whether the parameter data exceeds a safety range; once it is determined that the parameter data exceeds the safety range, corresponding early warning signals are generated, and an alarm is given according to the category of the early warning signals; and the coal quality data participating in the coal milling process is used as a determination standard, so that the process of determining whether the parameter data exceeds the safety range is more accurate, the early warning signals are output by flexibly determining the explosion conditions, the safety and reliability of the coal mill of the thermal power plant, the early warning accuracy and the potential safety risk are reduced, and the production safety is ensured.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, and more specifically to a method for early warning of deflagration in coal mills of thermal power plants. Background Technology

[0002] The coal mill in a thermal power plant is one of the key pieces of equipment in the pulverized coal combustion system. It is responsible for crushing coal and feeding it into the boiler. However, the coal mill faces the risk of pulverized coal deflagration during operation. If a deflagration accident occurs, it will cause serious casualties and property damage.

[0003] However, in existing technologies, methods for early warning of coal mill explosions typically involve comparing multiple sensors with preset standard values ​​to predict whether an explosion will occur. However, in practical applications, due to the varying qualities of coal involved in the grinding process, a single preset standard value cannot accurately predict whether explosions will occur with different types of coal, thus reducing the accuracy and safety of the early warning. Furthermore, existing technologies rely on a simplistic approach to determining the early warning process based on detected explosion conditions, failing to demonstrate the flexibility of the warning process.

[0004] Therefore, how to provide a method for early warning of deflagration in coal mills of thermal power plants that can improve the safety and reliability of coal mills, provide accurate early warning, mitigate potential safety risks, and ensure production safety has become a problem to be solved in this field. Summary of the Invention

[0005] To address the above problems, the present invention provides the following technical solution:

[0006] A method for early warning of deflagration in coal mills of thermal power plants includes:

[0007] Step 1: Set up monitoring points on key equipment of the coal mill and install detection devices at the monitoring points;

[0008] Step 2: Classify each of the detection devices according to their corresponding monitoring point locations, and insert the classification information into the parameter data obtained by the detection devices;

[0009] Step 3: Receive various parameter data in real time through a remote analysis terminal and pre-establish a pulverized coal combustion and explosion model; substitute the received parameter data into the pulverized coal combustion and explosion model according to their classification information, and use the model to calculate and determine whether the various parameter data of the coal mill exceed the safe range;

[0010] Step 4: If the judgment result is that the parameter data exceeds the safe range, generate an early warning signal corresponding to the classification information;

[0011] Step 5: Issue an alarm based on the type of warning signal to remind personnel to take safety measures.

[0012] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the step of setting up monitoring points on key equipment of the coal mill and installing detection devices at the monitoring points includes:

[0013] A temperature measuring point is set at the grinding disc of the coal mill, and a temperature detection component is set at the temperature measuring point to detect the temperature data at the grinding disc of the coal mill.

[0014] A pressure measuring point is set at the outlet end of the coal mill, and a pressure detection component is set on the pressure measuring point to detect the coal mill outlet pressure data.

[0015] An air volume measuring point is set at the inlet of the coal mill, and an air volume detection component is set on the air volume measuring point to detect the primary air volume data at the inlet of the coal mill.

[0016] A gas measuring point is set at the outlet of the coal mill, and a concentration detection component is set on the gas measuring point to detect the concentration data of flammable gas at the outlet of the coal mill.

[0017] A vibration measuring point is set at the grinding disc of the coal mill, and an amplitude detection component is set at the vibration measuring point to detect the amplitude data at the grinding disc of the coal mill.

[0018] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the step of classifying each of the detection devices according to their corresponding monitoring point locations and inserting the classification information into the parameter data obtained by the detection devices includes:

[0019] Different numbers are assigned to the detection devices at different types of monitoring points; while each detection device transmits parameter data, its corresponding number is inserted as an identifier into the parameter data and sent together.

[0020] Preferably, in the above-mentioned method for early warning of coal mill explosion in a thermal power plant, step three involves receiving various parameter data in real time through a remote analysis terminal and pre-establishing a pulverized coal combustion and explosion model; substituting the received parameter data into the pulverized coal combustion and explosion model according to their classification information, and determining whether the various parameter data of the coal mill exceed the safe range through model calculation, including:

[0021] The remote analysis terminal receives various parameter data and substitutes the data into the respective categories of pulverized coal combustion and explosion models according to the identifier it carries.

[0022] The temperature model has a preset temperature limit value A0. It compares the detected temperature data At at the grinding disc of the coal mill with the temperature limit value A0. When At>A0, it is determined that the temperature at the grinding disc of the coal mill exceeds the safe range, and the first combustion and explosion condition is generated.

[0023] The pressure model has a preset pressure limit value B0. It compares the detected coal mill outlet pressure data Bt with the pressure limit value B0. When Bt>B0, it is determined that the coal mill outlet pressure exceeds the safe range, and the second combustion and explosion condition is generated.

[0024] The concentration model has a preset concentration limit value C0. It compares the detected concentration data Ct of flammable gas at the coal mill outlet with the concentration limit value C0. When Ct>C0, it is determined that the concentration of flammable gas at the coal mill outlet exceeds the safe range, and the third combustion and explosion condition is generated.

[0025] The vibration model has a preset amplitude limit value D0. The amplitude data Dt detected at the grinding disc of the coal mill is compared with the amplitude limit value D0. When Dt>D0, it is determined that the amplitude at the grinding disc of the coal mill exceeds the safe range, and the fourth combustion and explosion condition is generated.

[0026] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the temperature model further includes:

[0027] Obtain coal quality data R for this coal grinding process, including volatile matter data VM, fixed carbon content FC, ash content ASH, and dry basis higher calorific value HM;

[0028] Substituting this into the preset ideal ignition point model Amin=a*VM+b*FC+c*ASH+d*HM, the ideal ignition point data Amin is obtained through calculation; where a is the volatile matter correction coefficient, b is the fixed carbon content correction coefficient, c is the ash content correction coefficient, and d is the calorific value correction coefficient.

[0029] The ideal ignition point data Amin is used to replace the preset temperature limit value A0 in determining whether the temperature data At at the grinding disc of the coal mill exceeds the safe range.

[0030] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the pressure model further includes:

[0031] Acquire ideal temperature data Amin, coal quality data R, and inlet primary air volume data V;

[0032] Substituting the above data into the preset ideal air pressure model Bmin=K1*Amin+K2*R+K3*V, the ideal air pressure data Bmin at the coal mill outlet is obtained by calculation; where K1 is the temperature correction coefficient, K2 is the correction coefficient for each coal quality category, and K3 is the inlet primary air volume correction coefficient.

[0033] The ideal air pressure data Bmin is used to replace the preset air pressure limit value B0 in determining whether the coal mill outlet air pressure data Bt exceeds the safe range.

[0034] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the step of generating an early warning signal corresponding to the classification information when the determination result is that the parameter data exceeds the safe range includes:

[0035] The remote analysis terminal performs statistical analysis on the results generated by each of the pulverized coal combustion and explosion models, and makes a judgment on the statistical results;

[0036] When all four conditions for combustion and explosion are met, a first-level early warning signal for the coal-fired power plant is generated.

[0037] When any three of the following conditions are met: combustion and explosion conditions one, two, three, and four, a secondary early warning signal is generated for the coal-fired power plant.

[0038] When any one or two of the following conditions are met: combustion and explosion condition one, combustion and explosion condition two, combustion and explosion condition three, and combustion and explosion condition four, a level three early warning signal is generated for the coal-fired power plant.

[0039] Preferably, in the above-mentioned method for early warning of coal mill explosion in a thermal power plant, the remote analysis terminal statistically analyzes the results generated by each of the coal powder explosion models and determines the statistical results, which further includes:

[0040] A preset retention time limit is set. When the remote analysis terminal receives the combustion and explosion conditions, it retains the combustion and explosion conditions according to the preset retention time limit. If the duration of the combustion and explosion conditions exceeds the preset retention time limit during the retention process, an acknowledgment signal is generated.

[0041] If the confirmation signal is generated, then the combustion and explosion conditions are included in the determination process;

[0042] If the confirmation signal is not generated, the combustion / explosion condition is rejected from the determination process.

[0043] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the preset retention time limit includes retention time limit for deflagration condition one, retention time limit for deflagration condition two, retention time limit for deflagration condition three, and retention time limit for deflagration condition four.

[0044] The retention time for each of the following conditions is 5 seconds: ignition and explosion condition one, 5 seconds, 20 seconds, and 20 seconds.

[0045] Preferably, in the above-mentioned method for early warning of deflagration in a coal mill of a thermal power plant, the step of triggering an alarm based on the type of warning signal to remind personnel to take safety measures includes:

[0046] Warning signals at all levels are sent to the terminal equipment of maintenance personnel, and warning signals of higher importance are displayed on the terminal equipment first;

[0047] The warning signals are ranked according to their importance as follows: Level 1 warning signal > Level 2 warning signal > Level 3 warning signal > Level 4 warning signal;

[0048] After resolving the warning issue, maintenance personnel can manually clear the warning signal using the terminal device. Once the warning signal is cleared, a feedback command is generated, and the warning process is repeated.

[0049] As can be seen from the above technical solution, the beneficial effects of this application compared with the prior art are as follows:

[0050] This invention provides a method for early warning of deflagration in coal mills of thermal power plants. It involves setting up monitoring points and installing corresponding detection devices to monitor in real time the temperature, air pressure, air volume, gas concentration, and vibration parameters of key equipment in the coal mill. These parameters are then inserted into a pulverized coal combustion and explosion model according to their classification information for calculation and judgment to determine whether the parameters exceed safe limits. Once a safe limit is exceeded, a corresponding early warning signal is generated, and an alarm is triggered based on the signal category. This invention utilizes coal quality data involved in the coal grinding process as a judgment standard, making the process of determining whether parameters exceed safe limits more accurate. By flexibly determining combustion and explosion conditions to output early warning signals, it improves the safety and reliability of coal mills in thermal power plants, enhances the accuracy of early warnings, mitigates potential safety risks, and ensures production safety. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0052] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0053] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0055] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0056] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0057] In one embodiment, see Figure 1 A method for early warning of deflagration in coal mills of thermal power plants, comprising:

[0058] Step 1: Set up monitoring points on key equipment of the coal mill and install detection devices at the monitoring points;

[0059] Step 2: Classify each detection device according to its corresponding monitoring point location, and insert the classification information into the parameter data obtained by the detection device;

[0060] Step 3: Receive various parameter data in real time through a remote analysis terminal and pre-establish a pulverized coal combustion and explosion model; substitute the received parameter data into the pulverized coal combustion and explosion model according to their classification information, and use the model to calculate and determine whether the various parameter data of the coal mill exceed the safe range;

[0061] Step 4: If the judgment result is that the parameter data exceeds the safe range, generate an early warning signal corresponding to the classification information;

[0062] Step 5: Issue an alarm based on the type of warning signal to remind personnel to take safety measures.

[0063] The principle of this embodiment is as follows: setting up monitoring points and installing detection devices, classifying and monitoring data, establishing a pulverized coal combustion and explosion model, determining whether parameter data exceeds the safe range, generating early warning signals, and issuing alarms. The principle involves real-time monitoring of various parameter data from the coal mill, substituting the data into the pre-established pulverized coal combustion and explosion model for calculation and judgment. If the parameter data exceeds the safe range, a corresponding early warning signal will be generated and an alarm will be issued to remind personnel to take safety measures.

[0064] The beneficial effects of this embodiment are as follows: Through real-time monitoring and early warning mechanisms, abnormal conditions of the coal mill can be detected promptly, reducing the risk of combustion and explosion, and improving the safety and reliability of the system; once the parameters of the coal mill exceed the safe range, early warning signals and alarms can be generated immediately, reminding personnel to take corresponding safety measures, thereby enabling rapid response and handling of potential safety issues; through a pre-established coal powder combustion and explosion model, calculations and judgments can be performed based on real-time received parameter data to predict whether a combustion and explosion will occur in the coal mill, thereby taking preventative measures in advance and reducing the possibility of accidents; through automated monitoring, classification, and judgment processes, the risks and errors of human judgment and operation are reduced, improving the accuracy and reliability of early warnings; through frequent early warnings and alarm reminders, the safety awareness of staff can be enhanced, good safety habits can be cultivated, and the probability of accidents can be reduced.

[0065] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in a coal mill of a thermal power plant, comprising setting up monitoring points on key equipment of the coal mill and installing detection devices at the monitoring points, including:

[0066] Temperature measuring points are set at the grinding disc of the coal mill, and temperature detection components are installed at the temperature measuring points to detect the temperature data at the grinding disc of the coal mill.

[0067] A pressure measuring point is set at the outlet of the coal mill, and a pressure detection component is installed on the pressure measuring point to detect the outlet pressure data of the coal mill.

[0068] An air volume measuring point is set at the inlet of the coal mill, and an air volume detection component is installed at the air volume measuring point to detect the primary air volume data at the inlet of the coal mill.

[0069] A gas measuring point is set at the outlet of the coal mill, and a concentration detection component is installed on the gas measuring point to detect the concentration data of flammable gas at the outlet of the coal mill.

[0070] Vibration measuring points are set at the grinding disc of the coal mill, and amplitude detection components are installed at the vibration measuring points to detect the amplitude data at the grinding disc of the coal mill.

[0071] It should be noted that the detection principle of the above-mentioned detection components is based on existing technology. In this embodiment, by setting monitoring points and installing corresponding detection devices on key equipment of the coal mill, it is possible to monitor key parameters such as the grinding disc temperature, outlet air pressure, inlet primary air volume, outlet flammable gas concentration, and grinding disc amplitude in real time. These parameters cover multiple key parameters of the coal mill, enabling a comprehensive understanding of the working condition of the coal mill and effectively identifying the possible sources of combustion and explosion risks.

[0072] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in coal mills of thermal power plants involves classifying various detection devices according to their corresponding monitoring point locations and inserting the classification information into the parameter data acquired by the detection devices, including:

[0073] Different numbers are assigned to the detection devices at different types of monitoring points; while each detection device transmits parameter data, its corresponding number is inserted as an identifier into the parameter data and sent together.

[0074] It should be noted that this embodiment can clearly express the correspondence between parameter data and corresponding monitoring points, ensuring the accuracy of the data; it can filter, group, or statistically analyze the data according to the classification information, which facilitates more in-depth data analysis and mining; the classification information can quickly locate the source monitoring point of the parameter data, and once an anomaly or a situation exceeding the safety range occurs, the source of the problem can be quickly identified, accelerating the speed of problem investigation and resolution, and facilitating the tracing and reproduction of the problem.

[0075] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in a coal mill of a thermal power plant, step three: receiving various parameter data in real time through a remote analysis terminal and pre-establishing a pulverized coal combustion and explosion model; substituting the received parameter data into the pulverized coal combustion and explosion model according to their classification information, and determining whether the various parameter data of the coal mill exceed the safe range through model calculation, including:

[0076] The remote analysis terminal receives various parameter data and substitutes the data into the respective categories of pulverized coal combustion and explosion models according to the identifiers it carries.

[0077] The temperature model has a preset temperature limit value A0. It compares the detected temperature data At at the grinding disc of the coal mill with the temperature limit value A0. When At>A0, it is determined that the temperature at the grinding disc of the coal mill exceeds the safe range, and the first combustion and explosion condition is generated.

[0078] The pressure model has a preset pressure limit value B0. It compares the detected coal mill outlet pressure data Bt with the pressure limit value B0. When Bt>B0, it is determined that the coal mill outlet pressure exceeds the safe range, and the second combustion and explosion condition is generated.

[0079] The concentration model has a preset concentration limit value C0. It compares the detected concentration data Ct of flammable gas at the coal mill outlet with the concentration limit value C0. When Ct>C0, it is determined that the concentration of flammable gas at the coal mill outlet exceeds the safe range, and the third combustion and explosion condition is generated.

[0080] The vibration model has a preset amplitude limit value D0. The amplitude data Dt detected at the grinding disc of the coal mill is compared with the amplitude limit value D0. When Dt>D0, it is determined that the amplitude at the grinding disc of the coal mill exceeds the safe range, and the fourth combustion and explosion condition is generated.

[0081] It should be noted that by substituting the parameter data of this embodiment into the corresponding pulverized coal combustion and explosion model according to the classification information, and then making judgments and issuing warnings, the beneficial effects of real-time data analysis, multi-dimensional judgment, safety range determination, efficient early warning, and early prevention can be achieved.

[0082] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in coal mills of thermal power plants, wherein the temperature model further includes:

[0083] Obtain coal quality data R for this coal grinding process, including volatile matter data VM, fixed carbon content FC, ash content ASH, and dry basis higher calorific value HM;

[0084] Substituting this into the preset ideal ignition point model Amin=a*VM+b*FC+c*ASH+d*HM, the ideal ignition point data Amin is obtained through calculation; where a is the volatile matter correction coefficient, b is the fixed carbon content correction coefficient, c is the ash content correction coefficient, and d is the calorific value correction coefficient.

[0085] The ideal ignition point data Amin is used to replace the preset temperature limit value A0 in determining whether the temperature data At at the grinding disc of the coal mill exceeds the safe range.

[0086] It should be noted that the ignition temperature of pulverized coal is correlated with coal quality. The correction coefficients for volatile matter (a), fixed carbon content (b), ash content (c), and calorific value (d) are specifically set by personnel based on their application scenario and represent existing technical means. This embodiment acquires coal quality data, including volatile matter, fixed carbon content, ash content, and dry basis higher calorific value, and substitutes these factors into the ideal ignition point model, considering the impact of coal quality on combustion. Through preset correction coefficients, the coal quality data is correlated with the ideal ignition point calculation. This allows for a quantitative consideration of the influence of different coal quality characteristics on combustion temperature, improving the accuracy of temperature determination. By using the corrected ideal ignition point data in temperature determination, it is possible to more accurately assess whether the temperature at the pulverizer disc exceeds the safe range. This improves early warning sensitivity, identifies the possibility of combustion and explosion risks, and better protects the safety of personnel and equipment.

[0087] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in coal mills of thermal power plants, wherein the pressure model further includes:

[0088] Acquire ideal temperature data Amin, coal quality data R, and inlet primary air volume data V;

[0089] Substituting the above data into the preset ideal air pressure model Bmin=K1*Amin+K2*R+K3*V, the ideal air pressure data Bmin at the coal mill outlet is obtained by calculation; where K1 is the temperature correction coefficient, K2 is the correction coefficient for each coal quality category, and K3 is the inlet primary air volume correction coefficient.

[0090] The ideal air pressure data Bmin is used to replace the preset air pressure limit value B0 in determining whether the coal mill outlet air pressure data Bt exceeds the safe range.

[0091] It should be noted that the gas pressure generated by high-temperature combustion is correlated with the ignition temperature, air mixing volume, and coal quality. The temperature correction coefficient K1, the correction coefficient K2 for each coal quality category, and the inlet primary air volume correction coefficient K3 are specifically set by personnel according to their application scenarios, which are existing technical means. This embodiment improves the accuracy of gas pressure judgment and the sensitivity of early warning by introducing ideal temperature data, coal quality data, and inlet primary air volume data, and calculating ideal gas pressure data according to preset correction coefficients.

[0092] To further optimize the above solution, please refer to Figure 1 A method for early warning of deflagration in coal mills of thermal power plants, wherein if the determination result is that the parameter data exceeds the safe range, an early warning signal corresponding to the classification information is generated, including:

[0093] The remote analysis terminal statistically analyzes the results generated by each pulverized coal combustion and explosion model and makes a judgment on the statistical results.

[0094] When all four conditions for combustion and explosion are met, a first-level early warning signal for the coal-fired power plant is generated.

[0095] When any three of the following conditions are met: combustion and explosion conditions one, two, three, and four, a secondary early warning signal is generated for the coal-fired power plant.

[0096] When any one or two of the following conditions are met: combustion and explosion condition one, combustion and explosion condition two, combustion and explosion condition three, and combustion and explosion condition four, a level three early warning signal is generated for the coal-fired power plant.

[0097] It should be noted that statistical analysis of the results generated by various pulverized coal combustion and explosion models through remote analysis terminals can accurately determine when parameter data exceeds the safe range. This statistical analysis method can comprehensively consider the satisfaction of multiple conditions, improving the accuracy of early warning judgments. Different levels of early warning signals are generated based on the satisfaction of various combustion and explosion conditions when parameter data exceeds the safe range. A level one early warning signal indicates that all four combustion and explosion conditions are met, indicating a serious risk of combustion and explosion in the coal mill. A level two early warning signal indicates that any three of the four combustion and explosion conditions are met, indicating a relatively high risk of combustion and explosion in the coal mill. A level three early warning signal indicates that any one or two of the four combustion and explosion conditions are met, indicating a certain risk of combustion and explosion in the coal mill. By generating different levels of early warning signals, relevant personnel and systems can be promptly alerted to take appropriate responses and measures. A level one early warning signal can attract high attention and prompt personnel to take immediate emergency measures to prevent combustion and explosion accidents. Level two and level three early warning signals can remind personnel to strengthen monitoring and attention, and take timely preventive measures to reduce the risk of combustion and explosion.

[0098] To further optimize the above solution, please refer to Figure 1 A method for early warning of coal mill explosion in thermal power plants, which includes statistical analysis of the results generated by various pulverized coal combustion and explosion models at a remote analysis terminal, and judgment of the statistical results, also includes:

[0099] A preset retention time limit is set. When the remote analysis terminal receives the combustion and explosion conditions, it retains the combustion and explosion conditions according to the preset retention time limit. If the duration of the combustion and explosion conditions exceeds the preset retention time limit during the retention process, an acknowledgment signal is generated.

[0100] If the confirmation signal is generated, then the combustion and explosion conditions are included in the determination process;

[0101] If the confirmation signal is not generated, the combustion / explosion condition is rejected from the determination process.

[0102] It should be noted that the preset retention time limits include retention time limits for explosion condition one, explosion condition two, explosion condition three, and explosion condition four; among them, the retention time limit for explosion condition one is 5 seconds, the retention time limit for explosion condition two is 5 seconds, the retention time limit for explosion condition three is 20 seconds, and the retention time limit for explosion condition four is 20 seconds.

[0103] This embodiment reduces unnecessary judgment calculations and early warning signal generation by setting a retention period and generating a confirmation signal based on whether the retention period has been exceeded. This enables continuous monitoring of combustion and explosion conditions, a controllable judgment reference period, identification of generated confirmation signals, and improved timeliness and accuracy of early warnings.

[0104] To further optimize the above solution, please refer to Figure 1A method for early warning of deflagration in coal mills of thermal power plants, which triggers an alarm based on the type of warning signal and reminds personnel to take safety measures, including:

[0105] Send warning signals at all levels to the terminal equipment of maintenance personnel, and prioritize displaying warning signals of higher importance on the terminal equipment;

[0106] The warning signals are ranked according to their importance as follows: Level 1 warning signal > Level 2 warning signal > Level 3 warning signal > Level 4 warning signal;

[0107] After resolving the warning issue, maintenance personnel manually clear the warning signal via the terminal device. Once the warning signal is cleared, a feedback command is generated, and the warning process is repeated.

[0108] It should be noted that, based on the level of the warning signal, corresponding hierarchical management and resource allocation can be carried out; Level 1 warning signals require the highest level of attention and emergency handling, including personnel dispatch and equipment shutdown; Level 2 and Level 3 warning signals can be allocated resources according to the degree of risk to ensure effective resource utilization and risk control; This embodiment alarms according to the category of the warning signal and reminds personnel to take safety measures, which can realize immediate alarm notification, priority display of important warning signals, priority ranking and guidance, as well as feedback instructions and review process, improve the ability to identify and control the risk of fire and explosion, and ensure the safety of personnel and equipment.

[0109] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0110] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0111] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0112] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for early warning of deflagration in a coal mill of a thermal power plant, characterized in that, include: Step 1: Set up monitoring points on key equipment of the coal mill and install detection devices at the monitoring points; Step 2: Classify each of the detection devices according to their corresponding monitoring point locations, and insert the classification information into the parameter data obtained by the detection devices; Step 3: Receive various parameter data in real time through a remote analysis terminal and pre-establish a pulverized coal combustion and explosion model; substitute the received parameter data into the pulverized coal combustion and explosion model according to their classification information, and use the model to calculate and determine whether the various parameter data of the coal mill exceed the safe range; Step 4: If the judgment result is that the parameter data exceeds the safe range, generate an early warning signal corresponding to the classification information; Step 5: Issue an alarm based on the type of warning signal to remind personnel to take safety measures; The step of setting up monitoring points on key equipment of the coal mill and installing detection devices at the monitoring points includes: A temperature measuring point is set at the grinding disc of the coal mill, and a temperature detection component is set at the temperature measuring point to detect the temperature data at the grinding disc of the coal mill. A pressure measuring point is set at the outlet end of the coal mill, and a pressure detection component is set on the pressure measuring point to detect the coal mill outlet pressure data. An air volume measuring point is set at the inlet of the coal mill, and an air volume detection component is set on the air volume measuring point to detect the primary air volume data at the inlet of the coal mill. A gas measuring point is set at the outlet of the coal mill, and a concentration detection component is set on the gas measuring point to detect the concentration data of flammable gas at the outlet of the coal mill. A vibration measuring point is set at the grinding disc of the coal mill, and an amplitude detection component is set at the vibration measuring point to detect the amplitude data at the grinding disc of the coal mill. The step of classifying each of the detection devices according to its corresponding monitoring point location and inserting the classification information into the parameter data obtained by the detection devices includes: Different numbers are assigned to the detection devices at different types of monitoring points; while each detection device transmits parameter data, its corresponding number is inserted as an identifier into the parameter data and sent together. Step three involves receiving various parameter data in real time via a remote analysis terminal and pre-establishing a pulverized coal combustion and explosion model. The received parameter data is then substituted into the pulverized coal combustion and explosion model according to its classification information. The model is used to calculate and determine whether the various parameter data of the coal mill exceed the safe range, including: The remote analysis terminal receives various parameter data and substitutes the data into the respective categories of pulverized coal combustion and explosion models according to the identifier it carries. The temperature model has a preset temperature limit value A0. It compares the detected temperature data At at the grinding disc of the coal mill with the temperature limit value A0. When At>A0, it is determined that the temperature at the grinding disc of the coal mill exceeds the safe range, and the first combustion and explosion condition is generated. The pressure model has a preset pressure limit value B0. It compares the detected coal mill outlet pressure data Bt with the pressure limit value B0. When Bt>B0, it is determined that the coal mill outlet pressure exceeds the safe range, and the second combustion and explosion condition is generated. The concentration model has a preset concentration limit value C0. It compares the detected concentration data Ct of flammable gas at the coal mill outlet with the concentration limit value C0. When Ct>C0, it is determined that the concentration of flammable gas at the coal mill outlet exceeds the safe range, and the third combustion and explosion condition is generated. The vibration model has a preset amplitude limit value D0. The amplitude data Dt detected at the grinding disc of the coal mill is compared with the amplitude limit value D0. When Dt>D0, it is determined that the amplitude at the grinding disc of the coal mill exceeds the safe range, and the fourth combustion and explosion condition is generated. The temperature model also includes: Obtain coal quality data R for this coal grinding process, including volatile matter data VM, fixed carbon content FC, ash content ASH, and dry basis higher calorific value HM; Substituting this into the preset ideal ignition point model Amin=a*VM+b*FC+c*ASH+d*HM, the ideal ignition point data Amin is obtained through calculation; where a is the volatile matter correction coefficient, b is the fixed carbon content correction coefficient, c is the ash content correction coefficient, and d is the calorific value correction coefficient. The ideal ignition point data Amin is used to replace the preset temperature limit value A0 in determining whether the temperature data At at the grinding disc of the coal mill exceeds the safe range. The pressure model also includes: Acquire ideal temperature data Amin, coal quality data R, and inlet primary air volume data V; Substituting the above data into the preset ideal air pressure model Bmin=K1*Amin+K2*R+K3*V, the ideal air pressure data Bmin at the coal mill outlet is obtained by calculation; where K1 is the temperature correction coefficient, K2 is the correction coefficient for each coal quality category, and K3 is the inlet primary air volume correction coefficient. The ideal air pressure data Bmin is used to replace the preset air pressure limit value B0 in determining whether the coal mill outlet air pressure data Bt exceeds the safe range.

2. The method for early warning of deflagration in a coal mill of a thermal power plant according to claim 1, characterized in that, The step of generating a warning signal corresponding to the classification information when the determination result is that the parameter data exceeds the safe range includes: The remote analysis terminal performs statistical analysis on the results generated by each of the pulverized coal combustion and explosion models, and makes a judgment on the statistical results; When all four conditions for combustion and explosion are met, a first-level early warning signal is generated for the coal mill. When any three of the following conditions are met: combustion and explosion conditions one, two, three, and four, a secondary early warning signal is generated for the coal mill. When any one or two of the following conditions are met: combustion and explosion condition one, combustion and explosion condition two, combustion and explosion condition three, and combustion and explosion condition four, a level three early warning signal is generated for the coal mill.

3. The method for early warning of deflagration in a coal mill of a thermal power plant according to claim 2, characterized in that, The remote analysis terminal performs statistical analysis on the results generated by each of the pulverized coal combustion and explosion models, and also determines the statistical results, including: The preset retention time limits include retention time limits for combustion and explosion conditions one, two, three, and four. When the remote analysis terminal receives the combustion and explosion conditions, it retains the combustion and explosion conditions for a preset retention time limit. If the duration of the combustion and explosion conditions exceeds the preset retention time limit during the retention process, a confirmation signal is generated. If the confirmation signal is generated, then the combustion and explosion conditions are included in the determination process; If the confirmation signal is not generated, the combustion / explosion condition is rejected from the determination process.

4. The method for early warning of deflagration in a coal mill of a thermal power plant according to claim 3, characterized in that, The preset retention time limits include retention time limits for combustion and explosion conditions one, two, three, and four. The retention time for each of the following conditions is 5 seconds: ignition and explosion condition one, 5 seconds, 20 seconds, and 20 seconds.

5. A method for early warning of deflagration in a coal mill of a thermal power plant according to claim 4, characterized in that, The method of issuing alarms based on the type of warning signal to remind personnel to take safety measures includes: Warning signals at all levels are sent to the terminal equipment of maintenance personnel, and warning signals of higher importance are displayed on the terminal equipment first; The warning signals are ranked according to their importance as follows: Level 1 warning signal > Level 2 warning signal > Level 3 warning signal > Level 4 warning signal; After resolving the warning issue, maintenance personnel can manually clear the warning signal using the terminal device. Once the warning signal is cleared, a feedback command is generated, and the warning process is repeated.

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