Fault detection method and device for dechlorination system

Abstract

The invention provides a dechlorination system fault detection method and device, and belongs to the field of fault detection, and the method comprises the steps: determining a target detection strategy from a plurality of standard detection strategies based on raw coal features and dechlorination features; wherein the detection standards of the plurality of standard detection strategies are different; detecting the dechlorination system based on the target detection strategy to obtain a dechlorination detection result; and obtaining fault information of the dechlorination system based on a dechlorination detection result. According to the dechlorination system fault detection method and device provided by the invention, the accuracy and reliability of dechlorination system fault detection can be improved.

Description

Technical Field

[0001] This disclosure pertains to the field of fault detection, and more specifically, relates to a method and apparatus for fault detection in a dechlorination system. Background Technology

[0002] In the field of coal processing and utilization, with increasingly stringent environmental protection requirements, the chlorine content in raw coal has become a key concern. High-chlorine coal releases large amounts of chlorides, such as hydrogen chloride, during combustion or other processing. These substances not only corrode equipment and shorten its lifespan but also cause serious environmental pollution, leading to acid rain and other hazards. Therefore, dechlorination treatment of raw coal has become a crucial step in the clean utilization of coal.

[0003] There are numerous existing dechlorination methods, among which water washing dechlorination is one of the more common and widely used technologies. However, in the actual operation of dechlorination systems, the complex and variable properties of raw coal itself pose significant challenges to the stable operation and fault detection of the dechlorination system. Traditional dechlorination system fault detection methods often lack specificity and flexibility, relying on fixed detection standards and strategies, which cannot adapt to the dechlorination requirements under different raw coal characteristics, resulting in low detection accuracy and reliability.

[0004] Therefore, there is an urgent need for an accurate and reliable method for detecting faults in dechlorination systems. Summary of the Invention

[0005] The purpose of this disclosure is to provide a method and apparatus for detecting faults in a dechlorination system, so as to improve the accuracy and reliability of fault detection in a dechlorination system.

[0006] A first aspect of this disclosure provides a method for detecting faults in a dechlorination system, comprising: The target detection strategy is determined from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; among these, the detection standards of the multiple standard detection strategies are different. The dechlorination system is tested based on a target detection strategy to obtain dechlorination detection results; Fault information of the dechlorination system is obtained based on the dechlorination detection results.

[0007] A second aspect of this disclosure provides a dechlorination system fault detection device, comprising: The detection strategy determination module is used to determine the target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; wherein, the detection standards of the multiple standard detection strategies are different; The detection module is used to detect the dechlorination system based on the target detection strategy and obtain the dechlorination detection results; The results output module is used to obtain fault information of the dechlorination system based on the dechlorination detection results.

[0008] A third aspect of this disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the above-described dechlorination system fault detection method.

[0009] A fourth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described dechlorination system fault detection method.

[0010] The beneficial effects of the dechlorination system fault detection method and apparatus provided in this disclosure are as follows: This disclosure selects the most suitable target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination, making the detection process more targeted, avoiding unnecessary detection steps, and thus improving detection efficiency. By selecting the detection strategy that best matches the target situation, this method can more accurately reflect the actual operating status of the dechlorination system, helping to reduce false alarms and missed alarms caused by strategy mismatch, and improving the accuracy and reliability of dechlorination system fault detection. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating a method for detecting faults in a dechlorination system according to an embodiment of this disclosure. Figure 2 This is a structural block diagram of a dechlorination system fault detection device provided in one embodiment of the present disclosure; Figure 3 This is a schematic block diagram of an electronic device provided according to an embodiment of the present disclosure. Detailed Implementation

[0013] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, so as to provide a thorough understanding of the embodiments of this disclosure. However, those skilled in the art will understand that this disclosure may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this disclosure with unnecessary detail.

[0014] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0015] First, the dechlorination system referred to in this disclosure includes a grinding mill and dechlorination equipment, as well as other auxiliary equipment, such as eluent addition equipment, washing equipment, and transport equipment. Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for detecting faults in a dechlorination system according to an embodiment of the present disclosure. The method includes: S101: Determine the target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; wherein, the detection standards of the multiple standard detection strategies are different.

[0016] In this embodiment, the characteristics of raw coal can be the particle size and initial chlorine content of the ground raw coal. For example, raw coal with smaller particle size has a relatively larger specific surface area, and chlorine may be more easily dissolved from the surface and interior of the coal during the dechlorination process; while raw coal with a high initial chlorine content requires more stringent dechlorination treatment to achieve the expected dechlorination effect.

[0017] Dechlorination characteristics can be water temperature and residence time during the dechlorination process. Water temperature directly affects the chemical reaction rate and the mass transfer process of chlorine between coal and water, while residence time determines the duration for coal to come into contact with the washing liquid and for the dechlorination reaction to occur.

[0018] Standard testing strategies are pre-defined schemes for testing dechlorination systems, each with a set of testing standards based on different combinations of raw coal and dechlorination characteristics. These strategies are developed based on past experience, experimental data, or theoretical models to address various possible raw coal and dechlorination situations, ensuring comprehensive and effective testing of the dechlorination system. Each standard testing strategy has different testing standards, meaning different testing parameters, which may be reflected in different testing areas and frequencies. Testing strategies can include: testing area and testing frequency.

[0019] For example, Standard Testing Strategy 1 is suitable for raw coal with small particle size, low initial chlorine content, high water temperature, and short residence time. The testing standard may focus on the chlorine content in the outlet area, because small particle size and low chlorine content allow for rapid dechlorination at high water temperature and short residence time, thus the outlet chlorine content effectively reflects the dechlorination effect. The testing frequency could be every 15 minutes to measure the chlorine content in the outlet area.

[0020] Standard testing strategy 2: For raw coal with large particle size, high initial chlorine content, low water temperature, and long residence time. The testing standard is to comprehensively test the chlorine content in all areas: once every 30 minutes in the inlet area, once every 20 minutes in the middle area, and once every 15 minutes in the outlet area, and to closely monitor the rate of chlorine content reduction.

[0021] The target detection strategy is the detection strategy selected from many standard detection strategies that best matches the actual characteristics of raw coal and dechlorination. The target detection strategy will be used for actual dechlorination system detection. By conducting detection according to the target detection strategy, data that best reflects the actual operating status of the dechlorination system can be obtained, thereby determining whether the system is operating normally or whether a fault has occurred.

[0022] S102: The dechlorination system is tested based on the target detection strategy to obtain the dechlorination detection results.

[0023] In this embodiment, after determining the target detection strategy that best matches the current characteristics of raw coal and dechlorination, the corresponding detection methods and equipment are used to monitor and verify the various relevant links and parameters of the entire dechlorination system during operation, in accordance with the specific requirements and standards set in the strategy, so as to fully understand the actual operating status of the dechlorination system.

[0024] The concentration of chloride ions can be obtained through a chloride ion concentration sensor or a chloride content analyzer. Multiple chloride ion analyzers are distributed in different locations in the dechlorination system, such as the inlet area, the intermediate area, and the outlet area. It should be noted that multiple chloride ion analyzers should also be set up in the same area to calculate the rate of chloride ion reduction.

[0025] The dechlorination system includes a grinding mill and dechlorination equipment, as well as other auxiliary equipment such as eluent dosing equipment, washing equipment, and conveying equipment. In the inlet area, when the high-chlorine coal first enters the channel, its chlorine content is at a relatively high initial level. At this time, the water washing and dechlorination process has just begun, and the chlorine in the coal has not yet dissolved into the water in large quantities. Therefore, the chlorine content of the coal in this area is basically close to that of the original coal. At the same time, according to the principle of mass transfer, chlorine will rapidly diffuse from the high-concentration coal to the low-concentration water. The driving force of the water washing and dechlorination reaction is relatively large, so the chlorine content decreases significantly.

[0026] In the intermediate region, as the coal continues to move through the channel, the rate of decrease in chlorine content in the high-chlorine raw coal gradually slows down. This is because as the dechlorination process proceeds, the chlorine content in the coal gradually decreases, the chlorine concentration difference with water continuously diminishes, and the mass transfer driving force also decreases, leading to a slower dechlorination rate. However, due to the large amount of chlorine removed in the early stages, a significant amount of chlorine remains to be removed, so although the rate of chlorine content reduction slows down in the intermediate region, it is still quite considerable.

[0027] In the export region, the high-chlorine-content raw coal has undergone a long period of water washing and dechlorination, resulting in a significant reduction in chlorine content. Therefore, not only is the chloride ion content low, but the chloride ion concentration is also relatively low.

[0028] The detection results can be obtained by measuring the chloride ion concentration and the rate of decrease of chloride ion concentration in each area, resulting in multiple detection results. The dechlorination detection results include the chloride ion concentration and the rate of decrease of chloride ion concentration in each area.

[0029] S103: Obtain fault information of the dechlorination system based on the dechlorination detection results.

[0030] In this embodiment, the data set is obtained by detecting the dechlorination system according to the target detection strategy. This data mainly includes the chloride ion concentration and the rate of decrease of chloride ion concentration in each region (such as the inlet region, intermediate region, and outlet region), which can reflect the actual dechlorination situation of the dechlorination system at different locations and stages.

[0031] Dechlorination test results should be compared with standard dechlorination test results. Different dechlorination test results should correspond to different raw coal particle sizes, initial chlorine content, water temperatures, and residence times. For example, fault information of the dechlorination system can be obtained based on the dechlorination test results, including: The target dechlorination test result is determined from multiple standard dechlorination test results based on the characteristics of raw coal and dechlorination characteristics; If the dechlorination test result matches the target dechlorination test result, the fault information is "no fault". In response to a mismatch between the dechlorination detection results and the target dechlorination detection results, fault information of the dechlorination system is obtained based on the dechlorination detection results and the target dechlorination detection results.

[0032] In this embodiment, different raw coals have different characteristics, such as varying particle sizes and initial chlorine content. Furthermore, the water temperature and residence time of the raw coal during the dechlorination process also differ. These factors combined determine that, under ideal and normal operating conditions, the dechlorination system should exhibit different dechlorination test results. In other words, each specific combination of raw coal characteristics and dechlorination characteristics has a corresponding, expected dechlorination test result, which is called a standard dechlorination test result. These results are based on extensive practical experience, experimental data, and theoretical analysis.

[0033] The target dechlorination detection result is the most suitable detection result for the current characteristics of raw coal and dechlorination characteristics. The target detection result includes the standard range and standard decrease rate of chloride ion concentration in each region. For example, in this embodiment, it can include the chloride ion concentration in the inlet region, the decrease rate of chloride ion concentration in the inlet region, the chloride ion concentration in the middle region, the decrease rate of chloride ion concentration in the middle region, the chloride ion concentration in the outlet region, and the decrease rate of chloride ion concentration in the outlet region. All of these can be a specific value or a range of values.

[0034] This embodiment can calculate the matching degree of chloride ion concentration using a first formula and the matching degree of chloride ion concentration decrease rate using a second formula. The first formula is: Second formula: ,in, Indicates the degree of matching of chloride ion concentration. This indicates the matching degree of the rate of decrease in chloride ion concentration. This represents the minimum chloride ion concentration in this region. This indicates the actual chloride ion concentration in this area. This indicates the maximum chloride ion concentration in this region. This represents the minimum rate of decrease in chloride ion concentration corresponding to this region. This indicates the actual rate of decrease in chloride ion concentration in this area. This represents the maximum rate of decrease in chloride ion concentration corresponding to this region. The chloride ion concentration and the rate of decrease in chloride ion concentration for each region were obtained experimentally.

[0035] Based on the above calculations, the matching degree of chloride ion concentration and the matching degree of chloride ion concentration decrease rate in each region can be obtained, and they can be weighted and calculated.

[0036] For example, the target matching degree is obtained by weighting the matching degree of chloride ion concentration and the matching degree of chloride ion concentration decrease rate in each region; When the target matching degree is greater than the first matching degree, the dechlorination detection result matches the target dechlorination detection result; If the target matching degree is less than or equal to the first matching degree, the dechlorination detection result does not match the target dechlorination detection result.

[0037] The weights can be determined based on the actual situation. For example, whether the final chloride ion concentration in the export area is up to standard is a very important indicator and can be given a higher weight.

[0038] The first matching degree can be adjusted based on the particle size difference of the raw coal. This is because the particle size of the raw coal is an average value during the above calculation. If the particle size difference of the raw coal is relatively large, and the target detection result is based on the average particle size of the raw coal, the matching degree will be reduced accordingly. To prevent this problem, the first matching degree can be adjusted based on the particle size difference of the raw coal.

[0039] For example, obtaining the difference in particle size of raw coal; In response to the raw coal particle size difference being greater than or equal to the first difference degree, the initial matching degree is reduced based on the first difference step size to obtain the first matching degree; Since the difference in raw coal particle size is less than the first difference, the initial matching degree is taken as the first matching degree.

[0040] Raw coal particle size can be obtained through image analysis or laser particle size analysis. The degree of difference in raw coal particle size can be obtained by calculating the standard deviation of the raw coal particle size; the larger the standard deviation, the greater the difference in raw coal particle size. The first degree of difference, the first step size of difference, and the initial matching degree can be determined according to the actual situation.

[0041] If the actual dechlorination test results do not match the target dechlorination test results, it indicates an abnormality in the dechlorination system. In this case, further comparative analysis of the differences between the actual and target results is needed to obtain specific fault information about the dechlorination system. For example, if the target dechlorination test requires the chloride ion concentration in the outlet area to be below 100 ppm, but the actual test result is 150 ppm, this indicates that the dechlorination effect in the outlet area has not met expectations. This may be due to a problem in one or more parts of the entire dechlorination system, such as insufficient washing time, unsuitable eluent concentration, or malfunctions in the water flow or agitation within the equipment. Such comparative analysis can pinpoint the location of the fault and roughly deduce its cause, thus obtaining fault information for the dechlorination system and providing a basis for subsequent maintenance and adjustments.

[0042] When the dechlorination detection results do not match the target dechlorination detection results, this method can further compare and analyze the differences between the two to obtain specific fault information. This not only helps operators quickly locate the fault point but also provides strong support for subsequent maintenance and adjustments. By calculating the matching degree of chloride ion concentration and the matching degree of the decrease rate, and combining them with weighted calculations, the target matching degree can be quickly obtained, thereby determining whether the dechlorination detection results match the target dechlorination detection results. This not only improves detection efficiency but also increases detection flexibility, allowing adjustment of weights and matching degree thresholds according to actual conditions.

[0043] Each value that deviates from its corresponding range has a potential associated fault. This can be addressed using an empirically defined table containing the possible faults arising from mismatches, exceeding, or falling short of the specified values. Fault information for the dechlorination system can be obtained based on the dechlorination test results and the target dechlorination test results.

[0044] As can be seen from the above, this disclosure selects the most suitable target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics, making the detection process more targeted, avoiding unnecessary detection steps, and thus improving detection efficiency. By selecting the detection strategy that best matches the target situation, this method can more accurately reflect the actual operating status of the dechlorination system, helping to reduce false alarms and missed alarms caused by strategy mismatch, and improving the accuracy and reliability of dechlorination system fault detection.

[0045] In one embodiment of this disclosure, a target detection strategy is determined from multiple standard detection strategies based on raw coal characteristics and dechlorination characteristics, including: Determine the degree of matching between the characteristics of raw coal and multiple standard raw coal characteristics; Determine the dechlorination matching degree between the dechlorination characteristics and multiple standard dechlorination characteristics respectively; The target detection strategy was determined from multiple standard detection strategies based on the matching degree of raw coal and the matching degree of dechlorination.

[0046] In one embodiment of this disclosure, a target detection strategy is determined from multiple standard detection strategies based on the matching degree of raw coal and the matching degree of dechlorination, including: Determine the first initial weight for the matching degree of raw coal, and determine the second initial weight for the matching degree of dechlorination; Multiple first matching degrees are obtained based on the raw coal matching degree, the first initial weight, the dechlorination matching degree, and the second initial weight; The target detection strategy is determined from multiple standard detection strategies based on multiple first-match degrees.

[0047] In this embodiment, the standard raw coal characteristics are pre-defined combinations of raw coal characteristics under different conditions, serving as a series of standard values ​​for comparison and reference. The raw coal matching degree is an index that measures the degree of similarity between the actual raw coal characteristics and each standard raw coal characteristic. The matching degree is determined by a matching degree calculation method, with higher values ​​indicating a closer approximation to the corresponding standard raw coal characteristics.

[0048] Standard dechlorination characteristics are pre-set combinations of parameters such as different water temperatures and residence times, serving as a reference standard. Dechlorination matching degree is an indicator that measures the degree of fit between these characteristics in the actual dechlorination process and the various standard dechlorination characteristics, reflecting how close the actual situation is to the standard settings.

[0049] Regarding the particle size of raw coal, the absolute value of the difference can be used to measure the degree of matching. For example, calculate the absolute value of the difference between the actual raw coal particle size and each standard raw coal particle size, and then perform normalization and other processing. The same applies to the initial chlorine content.

[0050] The first and second initial weights are numerical values ​​used to reflect the relative importance of raw coal matching degree and dechlorination matching degree in determining the final target detection strategy. Since the raw coal characteristics and dechlorination characteristics are not necessarily of equal importance to the detection of the entire dechlorination system, they must be assigned weights. The magnitude of the weight determines the role played by the corresponding matching degree in the comprehensive consideration.

[0051] Based on experience and analysis of dechlorination systems, it is believed that the characteristics of raw coal have a relatively large impact on the final detection strategy selection. The first initial weight of the raw coal matching degree can be set to 0.6, while the second initial weight of the dechlorination matching degree can be 0.4.

[0052] By comparing the calculated first-match degree values, the standard detection strategy corresponding to the set with the largest value is selected as the target detection strategy. This is because the highest first-match degree indicates that the standard detection strategy best matches the actual characteristics of raw coal and dechlorination. Detecting the dechlorination system according to this strategy can more accurately reflect the system's true operating status and identify potential faults.

[0053] As can be seen from the above, this disclosure, by matching the actual raw coal characteristics and dechlorination characteristics with preset standard characteristics, can select the detection strategy that best suits the current conditions. Compared with a one-size-fits-all detection strategy, it can more accurately reflect the true operating state of the dechlorination system, thereby improving the accuracy of detection. The diversity of raw coal characteristics and dechlorination characteristics makes the operating environment of the dechlorination system complex and variable. This embodiment, by flexibly adjusting the weights and matching degree calculations, can adapt to the detection needs under different conditions, enhancing the adaptability and flexibility of this disclosure.

[0054] In one embodiment of this disclosure, the characteristics of the raw coal include: raw coal particle size and initial chlorine content; Standard raw coal characteristics include: standard raw coal particle size and standard initial chlorine content; Determine the degree of matching between the characteristics of raw coal and multiple standard raw coal characteristics, including: The particle size matching degree between the raw coal particle size and multiple standard raw coal particle sizes was determined respectively; Determine the initial particle size weights for raw coal; The first raw coal matching degree is determined based on the particle size matching degree and the initial particle size weight; Determine the degree of chlorine content matching between the initial chlorine content of raw coal and multiple standard initial chlorine contents; Determine the initial chlorine content weight; The second raw coal matching degree is determined based on the chlorine content matching degree and the initial chlorine content matching degree; The matching degree of raw coal is determined based on the first matching degree and the second matching degree of raw coal.

[0055] In one embodiment of this disclosure, a dechlorination system fault detection method further includes: in response to an initial chlorine content being greater than a first chlorine content threshold, increasing the initial chlorine content weight by a first chlorine content step size to obtain a second initial chlorine content weight; and decreasing the initial granularity weight by the first chlorine content step size to obtain a second granularity weight. The third raw coal matching degree is determined based on the particle size matching degree and the second particle size weight; The fourth raw coal matching degree is determined based on the chlorine content matching degree and the second initial chlorine content matching degree. The raw coal matching degree is determined based on the third and fourth raw coal matching degrees.

[0056] In this embodiment, the particle size matching degree between the raw coal particle size and multiple standard raw coal particle sizes can be calculated based on a linear calculation method using the absolute value of the difference or according to proportional relationships. It is important to note that the particle size used in the calculation should be the average particle size, which can be obtained through simple weighted calculation. Similar to the particle size matching degree calculation, this method measures the similarity between the initial chlorine content of the actual raw coal and the initial chlorine content of each set of standards. The resulting value is the chlorine content matching degree, used to reflect the closeness between the actual chlorine content and the standard chlorine content.

[0057] For example, the chlorine content matching degree can be calculated by using the ratio of the difference to the standard chlorine content range. Specifically, if the chlorine content range is set to 0-1000ppm, the calculation formula is: Chlorine content matching degree = 1 - |actual initial chlorine content - standard initial chlorine content| / 1000.

[0058] For standard raw coal characteristic 1 (standard initial chlorine content is 600ppm), chlorine content matching degree = 1 - |800 - 600| / 1000 = 0.8.

[0059] For standard raw coal characteristic 2 (standard initial chlorine content is 900ppm), chlorine content matching degree = 1 - |800-900| / 1000 = 0.9.

[0060] For standard raw coal characteristic 3 (standard initial chlorine content is 700ppm), chlorine content matching degree = 1 - |800 - 700| / 1000 = 0.9.

[0061] After calculating the particle size matching degree and chlorine content matching degree, they can be multiplied by their corresponding initial weights to obtain the first raw coal matching degree and the second raw coal matching degree, respectively. The initial particle size weight and initial chlorine content weight can be determined based on actual conditions.

[0062] Given the significant impact of chlorine content on the results, an initial chlorine content exceeding the first chlorine threshold indicates excessive chlorine levels. In such cases, greater emphasis should be placed on the matching degree of chlorine content, as the characteristics of raw coal, such as particle size, initial chlorine content, water temperature, and residence time, are not discrete or fixed types but rather continuously vary within a certain range. The combinations of these characteristics are also diverse. Raw coal of different particle sizes exhibits different dechlorination behaviors and requires different detection strategies under varying water temperatures, residence times, and initial chlorine content conditions. Simply finding identical combinations of characteristics is practically impossible in practice, as it is difficult to cover all possible combinations.

[0063] Therefore, when the chlorine content of raw coal is higher than a certain threshold, namely the first chlorine content threshold, its corresponding weight should be increased, the weight of particle size matching degree should be appropriately reduced, and the matching degree of raw coal should be calculated based on the adjusted weight and matching degree.

[0064] In this embodiment, the first chlorine-containing threshold and the first chlorine-containing step size can be determined empirically or according to a third formula, which is: ,in Indicates the first chlorine-containing step size. Indicates the slope. This represents the difference between the first chlorine content threshold and the actual chlorine content, which means that the first chlorine content step size can be adjusted according to the chlorine content level.

[0065] As can be seen from the above, by calculating the particle size matching degree between the raw coal particle size and multiple standard raw coal particle sizes, and the chlorine content matching degree between the initial chlorine content of the raw coal and multiple standard initial chlorine contents, this embodiment can more comprehensively consider the diversity of raw coal characteristics, thereby improving the accuracy of the matching degree calculation. Using linear calculation methods based on the absolute value of the difference or proportional relationships to calculate the matching degree ensures the objectivity and accuracy of the calculation, helping to more accurately reflect the similarity between the actual raw coal characteristics and the standard raw coal characteristics. This embodiment introduces a mechanism for adjusting weights based on the initial chlorine content, enabling this disclosure to flexibly adjust the weights of particle size matching degree and chlorine content matching degree according to the differences in dechlorination behavior under different chlorine content conditions, thereby enhancing the adaptability of this disclosure and improving the accuracy and reliability of dechlorination system fault detection. When the initial chlorine content is higher than the first chlorine content threshold, by increasing the weight of the chlorine content matching degree and decreasing the weight of the particle size matching degree, it is possible to focus more on the influence of chlorine content, helping to more accurately determine the state of the dechlorination system.

[0066] In one embodiment of this disclosure, a method for detecting faults in a dechlorination system further includes: Obtain grinding features; Obtain the initial raw coal particle size; The target grinding characteristics are determined from multiple standard grinding characteristics based on the initial raw coal particle size; The operating status of the grinding equipment is determined based on the grinding characteristics and target grinding characteristics.

[0067] In one embodiment of this disclosure, determining the operating status of the grinding equipment based on grinding features and target grinding features includes: In response to the initial raw coal particle size being less than or equal to the first particle size threshold, the grinding characteristics are tested according to the first standard to determine whether they conform to the target grinding characteristics, and a first test result is obtained. In response to the initial raw coal particle size being greater than the first particle size threshold, the grinding characteristics are tested according to the second standard to determine whether they meet the target grinding characteristics, and a second test result is obtained. The grinding equipment is malfunctioning if the first and / or second test results are non-compliant. The accuracy of the first standard is less than that of the second standard.

[0068] In this embodiment, grinding characteristics refer to the sound characteristics during the grinding process. Before water washing and dechlorination, if the coal particle size is large, grinding can increase the specific surface area of ​​the coal. For example, in large, unground coal lumps, the chloride salts inside are difficult to fully contact and dissolve with water. After grinding, the coal particles become smaller, and the chloride salts are more easily exposed on the surface of the coal particles, greatly increasing the chance of contact with water, thereby improving the dechlorination efficiency.

[0069] Initial raw coal particle size refers to the particle size of raw coal before grinding. Initial raw coal particle size can be obtained by image analysis or laser particle size analysis. Standard grinding characteristics refer to the grinding sound and the corresponding time of the grinding sound under this raw coal particle size condition. The grinding sound is different at each grinding stage, and the corresponding grinding time is also different.

[0070] Initial raw coal particle size refers to the size of the raw coal particles before grinding. Different initial raw coal particle sizes result in different sound characteristics and corresponding grinding times during a normal and ideal grinding process. These ideal grinding sound characteristics and time combinations corresponding to different initial raw coal particle sizes are defined as standard grinding characteristics.

[0071] For example, for raw coal with a larger initial particle size, the grinding sound may initially be dull and loud, gradually becoming clearer and louder as grinding progresses, and the entire grinding process may last for a relatively long time. Conversely, for raw coal with a smaller initial particle size, the changes in grinding sound and grinding time will differ. Therefore, based on the actual initial particle size of the raw coal, it is necessary to find a set of pre-defined standard grinding characteristics that match it as the target grinding characteristics to measure whether the actual grinding process is normal.

[0072] Considering that the grinding process for small-particle raw coal is relatively simple and less complex, overly precise testing is not required to determine whether the grinding is normal. It is sufficient to roughly determine whether the loudness range and frequency interval of the sound fall within the corresponding target range.

[0073] When the initial particle size of the raw coal exceeds the first particle size threshold, it means that the raw coal particle size is relatively large, and the grinding difficulty and process changes are relatively complex. At this time, a second, more precise standard is used to detect the conformity between the grinding characteristics and the target grinding characteristics, and a second detection result is obtained. The high-precision second standard will analyze the changes in sound characteristics over time and the precise values ​​of sound characteristics at different stages in more detail, so as to more accurately determine whether the grinding process is proceeding normally. The first particle size threshold can be determined based on experience.

[0074] For example, if the first particle size threshold is 2cm, the first precision should be used for raw coal with an initial particle size of 3cm, and the second precision should be used for raw coal with an initial particle size of 1cm.

[0075] When grinding raw coal with an initial particle size of 3cm, the corresponding target grinding characteristics are: 15 minutes for the initial stage, 20 minutes for the intermediate stage, and 10 minutes for the later stage.

[0076] When grinding raw coal with an initial particle size of 1 cm, the corresponding target grinding characteristics are: 9 minutes in the initial stage, 15 minutes in the middle stage, and 8 minutes in the later stage.

[0077] The grinding stage can be determined by sound. For example, different grinding stages correspond to different sound characteristics. Sound features are collected by a microphone, and a neural network model trained on a dataset consisting of a large number of sound features and their corresponding grinding stages is used to determine the current grinding stage.

[0078] Regarding the aforementioned target grinding characteristics, for example, when grinding raw coal with an initial particle size of 3cm, the detected sound characteristic is that the initial stage time is 20 minutes, and other stages are normal. When grinding raw coal with an initial particle size of 1cm, the detected sound characteristic is that the initial stage time is 12 minutes, and other stages are normal. In this case, even if the grinding time of both particle sizes in the initial stage exceeds one-third of the target initial stage grinding time (i.e., the first detection result and the second detection result), the first precision is either more than or less than half, and the second precision is either more than or less than one-quarter. Therefore, for raw coal with a particle size of 3cm, the detection result is that the grinding equipment is operating normally, and for raw coal with a particle size of 1cm, the detection result is that the grinding equipment is operating abnormally.

[0079] As can be seen from the above, by acquiring grinding characteristics and comparing them with target grinding characteristics, this embodiment can more accurately determine the operating status of the grinding equipment, helping to promptly detect potential faults and prevent the fault from escalating to more serious consequences. This embodiment selects detection standards of different precision based on the initial raw coal particle size, making the detection more consistent with actual conditions and further improving the accuracy of fault detection. This embodiment can automatically adjust the detection strategy according to raw coal of different particle sizes, demonstrating high flexibility and adaptability. This capability allows the system to better cope with grinding processes under different conditions, improving overall operating efficiency. This embodiment sets different particle size thresholds and detection standards, which can be customized according to actual needs, improving the accuracy and reliability of fault detection in the dechlorination system.

[0080] Corresponding to the above embodiment of a dechlorination system fault detection method, Figure 2 This is a structural block diagram of a dechlorination system fault detection device according to an embodiment of this disclosure. For ease of explanation, only the parts relevant to the embodiment of this disclosure are shown. References Figure 2 The dechlorination system fault detection device 20 includes: a detection strategy determination module 21, a detection module 22, and a result output module 23.

[0081] The detection strategy determination module 21 is used to determine the target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; wherein the detection standards of the multiple standard detection strategies are different. Detection module 22 is used to detect the dechlorination system based on the target detection strategy and obtain dechlorination detection results; The result output module 23 is used to obtain fault information of the dechlorination system based on the dechlorination detection results.

[0082] In one embodiment of this disclosure, the detection strategy determination module 21 is specifically used to determine the raw coal matching degree between the raw coal characteristics and multiple standard raw coal characteristics; Determine the dechlorination matching degree between the dechlorination characteristics and multiple standard dechlorination characteristics respectively; The target detection strategy was determined from multiple standard detection strategies based on the matching degree of raw coal and the matching degree of dechlorination.

[0083] In one embodiment of this disclosure, the detection strategy determination module 21 is further used to determine a first initial weight of the raw coal matching degree and a second initial weight of the dechlorination matching degree. Multiple first matching degrees are obtained based on the raw coal matching degree, the first initial weight, the dechlorination matching degree, and the second initial weight; The target detection strategy is determined from multiple standard detection strategies based on multiple first-match degrees.

[0084] In one embodiment of this disclosure, the characteristics of the raw coal include: raw coal particle size and initial chlorine content; Standard raw coal characteristics include: standard raw coal particle size and standard initial chlorine content; The detection strategy determination module 21 is also used to determine the particle size matching degree between the raw coal particle size and multiple standard raw coal particle sizes respectively; Determine the initial particle size weights for raw coal; The first raw coal matching degree is determined based on the particle size matching degree and the initial particle size weight; Determine the degree of chlorine content matching between the initial chlorine content of raw coal and multiple standard initial chlorine contents; Determine the initial chlorine content weight; The second raw coal matching degree is determined based on the chlorine content matching degree and the initial chlorine content matching degree; The matching degree of raw coal is determined based on the first matching degree and the second matching degree of raw coal.

[0085] In one embodiment of this disclosure, a dechlorination system fault detection device 20 further includes: a weight adjustment module; The weight adjustment module is used to respond to the initial chlorine content being greater than the first chlorine content threshold by increasing the initial chlorine content weight by a first chlorine content step size to obtain a second initial chlorine content weight; and by decreasing the initial granularity weight by the first chlorine content step size to obtain a second granularity weight. The third raw coal matching degree is determined based on the particle size matching degree and the second particle size weight; The fourth raw coal matching degree is determined based on the chlorine content matching degree and the second initial chlorine content matching degree. The raw coal matching degree is determined based on the third and fourth raw coal matching degrees.

[0086] In one embodiment of this disclosure, a dechlorination system fault detection device 20 further includes: a grinding fault detection module; The grinding fault detection module is used to acquire grinding characteristics; The target grinding characteristics are determined from multiple standard grinding characteristics based on the initial raw coal particle size; The operating status of the grinding equipment is determined based on the grinding characteristics and target grinding characteristics.

[0087] In one embodiment of this disclosure, the grinding fault detection module is specifically used to detect whether the grinding characteristics conform to the target grinding characteristics according to a first standard in response to the initial raw coal particle size being less than or equal to a first particle size threshold, and to obtain a first detection result; In response to the initial raw coal particle size being greater than the first particle size threshold, the grinding characteristics are tested according to the second standard to determine whether they meet the target grinding characteristics, and a second test result is obtained. The grinding equipment is malfunctioning if the first and / or second test results are non-compliant. The accuracy of the first standard is less than that of the second standard.

[0088] See Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided according to an embodiment of the present disclosure. Figure 3 The electronic device 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of each module / unit in the above-described device embodiments, for example... Figure 2 The functions of modules 21 to 23 are shown.

[0089] It should be understood that, in the embodiments of this disclosure, the processor 301 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0090] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0091] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.

[0092] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this disclosure can execute the implementation methods described in the first and second embodiments of the dechlorination system fault detection method provided in the embodiments of this disclosure, or they can execute the implementation methods of the electronic devices described in the embodiments of this disclosure, which will not be repeated here.

[0093] In another embodiment of this disclosure, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. Alternatively, the computer program can instruct related hardware to implement these processes. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0094] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0095] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0096] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or units, or it may be an electrical, mechanical, or other form of connection.

[0098] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this disclosure, depending on actual needs.

[0099] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0100] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this disclosure, and these modifications or substitutions should all be covered within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A method for detecting faults in a dechlorination system, characterized in that, include: The target detection strategy is determined from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; wherein the detection standards of the multiple standard detection strategies are different. The dechlorination system is tested based on the aforementioned target detection strategy to obtain dechlorination detection results; The fault information of the dechlorination system is obtained based on the dechlorination detection results.

2. The method for detecting faults in a dechlorination system as described in claim 1, characterized in that, The determination of the target detection strategy from multiple standard detection strategies based on raw coal characteristics and dechlorination characteristics includes: Determine the degree of matching between the characteristics of raw coal and multiple standard raw coal characteristics; Determine the dechlorination matching degree between the dechlorination characteristics and multiple standard dechlorination characteristics respectively; The target detection strategy is determined from multiple standard detection strategies based on the raw coal matching degree and the dechlorination matching degree.

3. The method for detecting faults in a dechlorination system as described in claim 2, characterized in that, The process of determining the target detection strategy from multiple standard detection strategies based on the raw coal matching degree and the dechlorination matching degree includes: Determine a first initial weight for the raw coal matching degree, and determine a second initial weight for the dechlorination matching degree; Multiple first matching degrees are obtained based on the raw coal matching degree, the first initial weight, the dechlorination matching degree, and the second initial weight; The target detection strategy is determined from multiple standard detection strategies based on the multiple first matching degrees.

4. The method for detecting faults in a dechlorination system as described in claim 2, characterized in that, The characteristics of the raw coal include: raw coal particle size and initial chlorine content; The characteristics of the standard raw coal include: standard raw coal particle size and standard initial chlorine content; The determination of the matching degree between the raw coal characteristics and multiple standard raw coal characteristics includes: The particle size matching degree between the raw coal particle size and multiple standard raw coal particle sizes was determined respectively; Determine the initial particle size weight of the raw coal; The first raw coal matching degree is determined based on the particle size matching degree and the initial particle size weight; Determine the degree of chlorine content matching between the initial chlorine content of raw coal and multiple standard initial chlorine contents; Determine the initial chlorine content weight; The second raw coal matching degree is determined based on the chlorine content matching degree and the initial chlorine content matching degree; The raw coal matching degree is determined based on the first raw coal matching degree and the second raw coal matching degree.

5. The method for detecting faults in a dechlorination system as described in claim 4, characterized in that, Also includes: In response to the initial chlorine content being greater than a first chlorine content threshold, the initial chlorine content weight is increased by a first chlorine content step size to obtain a second initial chlorine content weight; and the initial particle size weight is decreased by the first chlorine content step size to obtain a second particle size weight. The third raw coal matching degree is determined based on the particle size matching degree and the second particle size weight; The fourth raw coal matching degree is determined based on the chlorine content matching degree and the second initial chlorine content matching degree. The raw coal matching degree is determined based on the third raw coal matching degree and the fourth raw coal matching degree.

6. The method for detecting faults in a dechlorination system as described in claim 1, characterized in that, Also includes: Obtain grinding features; Obtain the initial raw coal particle size; The target grinding characteristics are determined from multiple standard grinding characteristics based on the initial raw coal particle size; The operating status of the grinding equipment is determined based on the grinding characteristics and the target grinding characteristics.

7. The method for detecting faults in a dechlorination system as described in claim 6, characterized in that, Determining the operating status of the grinding equipment based on the grinding features and the target grinding features includes: In response to the initial raw coal particle size being less than or equal to a first particle size threshold, the grinding characteristics are tested according to a first standard to determine whether they conform to the target grinding characteristics, and a first detection result is obtained. In response to the initial raw coal particle size being greater than the first particle size threshold, the grinding characteristics are detected according to the second standard to determine whether they conform to the target grinding characteristics, and a second detection result is obtained. The grinding equipment is malfunctioning if the first detection result and / or the second detection result is inconsistent. The accuracy of the first standard is less than that of the second standard.

8. A fault detection device for a dechlorination system, characterized in that, include: The detection strategy determination module is used to determine the target detection strategy from multiple standard detection strategies based on the characteristics of raw coal and dechlorination characteristics; wherein the detection standards of the multiple standard detection strategies are different; The detection module is used to detect the dechlorination system based on the target detection strategy and obtain the dechlorination detection results; The result output module is used to obtain fault information of the dechlorination system based on the dechlorination detection results.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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