Coal quality data online monitoring system and method

Abstract

The application discloses a coal quality data online monitoring system and method, which comprises a coal quality component detection module, a coal carbon classification module, a coal quantity detection module, a coal quality feedback module and a coal quality analysis module; the coal quality component detection module is used for real-time online detection of the coal quality component of coal; the coal carbon classification module is connected with the coal quality component detection module and is used for classifying coal according to the detected coal quality component of coal; the coal quantity detection module is used for real-time online detection of the coal quantity of classified coal; the coal quality feedback module is used for monitoring and feeding back combustion data of each type of coal combusted with different quantities; and the coal quality analysis module is connected with the coal quality feedback module and is used for analyzing the coal quality of coal according to the combustion data of coal. The application can guarantee the accuracy of coal classification by real-time online detection of the coal quality component of coal and classification of the monitored coal, and can analyze the coal quality of coal by monitoring and feeding back the combustion data of each type of coal combusted with different quantities, so that the error probability of coal quality detection is reduced.

Description

Technical Field

[0001] This invention relates to the field of online coal quality detection technology, and in particular to an online coal quality data monitoring system and method. Background Technology

[0002] Coal is an important energy source, and its quality is closely related to the safe production of enterprises. Coal has a wide range of applications in the industrial field, such as thermal power, construction, and chemical industry. Different industrial sectors have different quality requirements and testing standards for coal. The quality performance of coal determines its application value. With the rapid development of industry, the demand for coal is increasing day by day, and a trend of supply falling short of demand is gradually emerging. Coal quality testing is a key link in coal mining and an important basis for coal quality assessment. Therefore, coal quality testing is a hot topic of concern in the industrial field.

[0003] However, existing technologies cannot perform coal testing both before and during use, resulting in low coal testing efficiency and an inability to guarantee the actual quality of coal in use. Furthermore, it is impossible to trace the cause of coal abnormalities when they occur during use, making it impossible to overcome abnormalities in a timely manner and optimize coal quality testing. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides an online coal quality data monitoring system, comprising:

[0005] The coal composition detection module is used for real-time online detection of the coal composition.

[0006] A coal classification module is connected to the coal composition detection module. The coal classification module is used to classify coal based on the detected coal composition.

[0007] The coal quantity detection module is used to perform real-time online detection of the coal quantity of classified coal.

[0008] The coal quality feedback module is used to monitor and provide feedback on combustion data for each type of coal when burned in different quantities;

[0009] A coal quality analysis module is connected to the coal quality feedback module. The coal quality analysis module is used to analyze the coal quality based on the coal combustion data.

[0010] Furthermore, the coal composition detection module covers the specific process of coal composition detection:

[0011] The coal composition detection module is used to collect the amount of a certain coal composition, and compare the amount of that coal composition with preset threshold ranges for coal composition.

[0012] If the coal quality components are within the threshold range, the coal quality components test is deemed to meet the standard, and the coal is used as the test sample to generate the corresponding coal quality component content.

[0013] If the coal quality components are not within the threshold range, the coal quality components test is deemed to be non-compliant with the standard. In this case, the coal will not be used as a test sample, and a new sample will be taken to test the coal quality components.

[0014] Furthermore, the specific detection process for coal classification module:

[0015] The coal classification module is used to obtain the content value of each coal quality component of the detected coal, compare the size of each coal quality component content value, and select the coal with the highest content value as the coal category.

[0016] Furthermore, the specific monitoring process of the coal quality feedback module:

[0017] The coal quality feedback module is used to monitor the combustion data of each category of coal after classification, when burned in different amounts.

[0018] That is, the collection starts from the moment the coal is burned, and collects the temperature change value of a certain type of coal with each amount used and the mass of the generated coal slag within a set time period. The collected temperature change value of a certain type of coal with each amount used and the mass of the generated coal slag are then fed back to the coal quality analysis module.

[0019] Furthermore, the specific analysis process of the coal quality analysis module:

[0020] The coal quality analysis module is used to draw a curve of coal temperature change versus coal consumption and a curve of coal slag mass versus coal consumption within a set time period based on combustion data.

[0021] Calculate the slope values ​​s1 and s2 of the temperature change value-coal consumption curve and the coal slag mass-coal consumption curve, respectively.

[0022] The coal quality assessment coefficient L is calculated using the formula L=m(s1×a1+s2×a2), where a1 and a2 are preset weighting coefficients, and both a1 and a2 are greater than 0. m is an error correction factor. The larger the coal quality assessment coefficient L, the better the coal quality.

[0023] Furthermore, the coal composition detection module detects the following coal composition components: coal ash, coal moisture, and coal sulfur.

[0024] Furthermore, the coal composition detection module includes:

[0025] A coal ash content analyzer is used for online detection of the ash content of coal.

[0026] A coal moisture analyzer is used for online detection of the moisture content of coal.

[0027] A coal sulfur content analyzer is used for online detection of the sulfur content in coal.

[0028] Furthermore, the coal ash content detector, coal moisture content detector, coal calorific value detector, coal volatile matter detector, and coal sulfur content detector sample data at a preset sampling frequency.

[0029] A method for online monitoring of coal quality data, comprising:

[0030] S1: Real-time online detection of coal composition;

[0031] S2: Classify coal based on the detected coal composition;

[0032] S3: Real-time online detection of coal quantity for classified coal;

[0033] S4: Monitor and provide feedback on combustion data for each type of coal when burned in different quantities;

[0034] S5: Analyze the coal quality based on coal combustion data.

[0035] Compared with existing technologies, the online coal quality data monitoring system of this invention has the following advantages:

[0036] This invention enables real-time online detection of coal composition and classification of the monitored coal, ensuring the accuracy of coal classification. Furthermore, it analyzes coal quality by monitoring and feeding back combustion data of each type of coal burned in different quantities, thereby reducing the probability of errors in coal quality detection. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the composition of the online coal quality data monitoring system in an embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram of the composition of the coal composition detection module of the online coal quality data monitoring system in this embodiment of the invention. Detailed Implementation

[0039] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0040] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", 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 application and simplifying the description, and do not indicate or imply that the device or element 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 application.

[0041] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0042] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0043] like Figure 1 As shown in the embodiments of this application, an online coal quality data monitoring system is provided, comprising: a coal quality composition detection module for real-time online detection of coal quality composition; a coal carbon classification module connected to the coal quality composition detection module, wherein the coal carbon classification module is used to classify coal according to the detected coal carbon quality composition; a coal quantity detection module for real-time online detection of the coal quantity of the classified coal; a coal quality feedback module for monitoring and feeding back combustion data of each type of coal burned at different amounts; and a coal quality analysis module connected to the coal quality feedback module, wherein the coal quality analysis module is used to analyze the coal quality based on the coal combustion data.

[0044] Furthermore, by conducting real-time online detection of coal composition and classifying the monitored coal, the accuracy of coal classification can be ensured. By monitoring and feeding back combustion data of each type of coal burned in different amounts, the coal quality can be analyzed, reducing the probability of error in coal quality detection.

[0045] In the embodiments of this application, an online coal quality data monitoring system is provided, wherein the coal quality component detection module performs the following specific process for coal quality component detection:

[0046] The coal composition detection module is used to collect the amount of a certain coal composition, and compare the amount of that coal composition with preset threshold ranges for coal composition.

[0047] If the coal quality components are within the threshold range, the coal quality components test is deemed to meet the standard, and the coal is used as the test sample to generate the corresponding coal quality component content.

[0048] If the coal quality components are not within the threshold range, the coal quality components test is deemed to be non-compliant with the standard. In this case, the coal will not be used as a test sample, and a new sample will be taken to test the coal quality components.

[0049] In the embodiments of this application, an online coal quality data monitoring system is provided, and the specific detection process of the coal classification module is as follows:

[0050] The coal classification module is used to obtain the content value of each coal quality component of the detected coal, compare the size of each coal quality component content value, and select the coal with the highest content value as the coal category.

[0051] In the embodiments of this application, an online coal quality data monitoring system is provided, and the specific monitoring process of the coal quality feedback module is as follows:

[0052] The coal quality feedback module is used to monitor the combustion data of each category of coal after classification, when burned in different amounts.

[0053] That is, the collection starts from the moment the coal is burned, and collects the temperature change value of a certain type of coal with each amount used and the mass of the generated coal slag within a set time period. The collected temperature change value of a certain type of coal with each amount used and the mass of the generated coal slag are then fed back to the coal quality analysis module.

[0054] In the embodiments of this application, an online coal quality data monitoring system is provided, and the specific analysis process of the coal quality analysis module is as follows:

[0055] The coal quality analysis module is used to draw a curve of coal temperature change versus coal consumption and a curve of coal slag mass versus coal consumption within a set time period based on combustion data.

[0056] Calculate the slope values ​​s1 and s2 of the temperature change value-coal consumption curve and the coal slag mass-coal consumption curve, respectively.

[0057] The coal quality assessment coefficient L is calculated using the formula L=m(s1×a1+s2×a2), where a1 and a2 are preset weighting coefficients, and both a1 and a2 are greater than 0. m is an error correction factor. The larger the coal quality assessment coefficient L, the better the coal quality.

[0058] In the embodiments of this application, an online coal quality data monitoring system is provided, wherein the coal quality components detected by the coal quality component detection module include: coal ash, coal moisture and coal sulfur.

[0059] like Figure 2 As shown in the embodiments of this application, an online coal quality data monitoring system is provided, wherein the coal quality component detection module includes:

[0060] A coal ash content analyzer is used for online detection of the ash content of coal.

[0061] A coal moisture analyzer is used for online detection of the moisture content of coal.

[0062] A coal sulfur content analyzer is used for online detection of the sulfur content in coal.

[0063] In the embodiments of this application, an online coal quality data monitoring system is provided, wherein the coal ash content detector, coal moisture detector, coal calorific value detector, coal volatile matter detector, and coal sulfur content detector sample data at a preset sampling frequency.

[0064] In an embodiment of this application, a method for online monitoring of coal quality data is provided, comprising:

[0065] S1: Real-time online detection of coal composition;

[0066] S2: Classify coal based on the detected coal composition;

[0067] S3: Real-time online detection of coal quantity for classified coal;

[0068] S4: Monitor and provide feedback on combustion data for each type of coal when burned in different quantities;

[0069] S5: Analyze the coal quality based on coal combustion data.

[0070] In summary, this invention provides an online coal quality data monitoring system, comprising: a coal composition detection module for real-time online detection of coal composition; a coal classification module connected to the coal composition detection module for classifying coal based on the detected coal composition; a coal quantity detection module for real-time online detection of the quantity of classified coal; a coal quality feedback module for monitoring and feeding back combustion data of each type of coal burned at different dosages; and a coal quality analysis module connected to the coal quality feedback module for analyzing coal quality based on the combustion data. This invention, by performing real-time online detection of coal composition and classifying the monitored coal, ensures the accuracy of coal classification. Furthermore, by monitoring and feeding back combustion data of each type of coal burned at different dosages to analyze coal quality, it reduces the probability of errors in coal quality detection.

[0071] Finally, it should be noted that those skilled in the art can obviously 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 also intends to include these modifications and variations.

[0072] The above description is merely one embodiment of the present invention, and should not be construed as limiting the scope of the invention. Any structural changes made based on the present invention, as long as they do not depart from the essence of the invention, should be considered as falling within the protection scope of the present invention and subject to its restrictions. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0073] 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.

[0074] The technical solutions of the present invention have been described above with reference to the accompanying drawings and further embodiments. 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 such changes or substitutions will all fall within the scope of protection of the present invention.

[0075] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. An online coal quality data monitoring system, characterized in that, include: The coal composition detection module is used for real-time online detection of the coal composition. A coal classification module is connected to the coal composition detection module. The coal classification module is used to classify coal based on the detected coal composition. The coal quantity detection module is used to perform real-time online detection of the coal quantity of classified coal. The coal quality feedback module is used to monitor and provide feedback on combustion data for each type of coal when burned in different quantities; A coal quality analysis module is connected to the coal quality feedback module. The coal quality analysis module is used to analyze the coal quality based on the coal combustion data. The coal composition detection module performs the following specific steps in the coal composition detection process: The coal composition detection module is used to collect the amount of a certain coal composition, and compare the amount of that coal composition with preset threshold ranges for coal composition. If the coal quality components are within the threshold range, the coal quality components test is deemed to meet the standard, and the coal is used as the test sample to generate the corresponding coal quality component content. If the coal quality components are not within the threshold range, the coal quality components test is deemed to be non-compliant with the standard. In this case, the coal will not be used as a test sample, and a new sample will be taken to test the coal quality components. The specific detection process for coal classification module: The coal classification module is used to obtain the content value of each coal quality component of the detected coal, compare the size of each coal quality component content value, and select the coal with the highest content value as the coal category. The specific monitoring process of the coal quality feedback module: The coal quality feedback module is used to monitor the combustion data of each category of coal after classification, when burned in different amounts. That is, the collection starts from the moment of coal combustion, collects the temperature change value of a certain type of coal with each amount used and the mass of coal slag generated within a set time period, and feeds back the collected temperature change value of a certain type of coal with each amount used and the mass of coal slag generated to the coal quality analysis module. The specific analysis process of the coal quality analysis module: The coal quality analysis module is used to draw a curve of coal temperature change value versus coal consumption value and a curve of generated coal slag mass versus coal consumption value within a set time period based on combustion data. Calculate the slope values ​​s1 and s2 of the temperature change value-coal consumption curve and the coal slag mass-coal consumption curve, respectively; The coal quality assessment coefficient L is calculated using the formula L=m(s1×a1+s2×a2), where a1 and a2 are preset weighting coefficients, and both a1 and a2 are greater than 0. m is an error correction factor. The larger the coal quality assessment coefficient L, the better the coal quality.

2. The online coal quality data monitoring system according to claim 1, characterized in that, The coal composition detection module detects the following coal composition components: coal ash, coal moisture, and coal sulfur.

3. The online coal quality data monitoring system according to claim 1, characterized in that, The coal composition detection module includes: A coal ash content analyzer is used for online detection of the ash content of coal. A coal moisture analyzer is used for online detection of the moisture content of coal. A coal sulfur content analyzer is used for online detection of the sulfur content in coal.

4. The online coal quality data monitoring system according to claim 1, characterized in that, The coal ash content detector, coal moisture content detector, coal calorific value detector, coal volatile matter detector, and coal sulfur content detector sample data at a preset sampling frequency.

5. A method for online monitoring of coal quality data, characterized in that, include: S1: Real-time online detection of coal composition; S2: Classify coal based on the detected coal composition; S3: Real-time online detection of coal quantity for classified coal; S4: Monitor and provide feedback on combustion data for each type of coal when burned in different quantities; S5: Analyze the coal quality based on coal combustion data; The coal composition detection module performs the following specific steps in the coal composition detection process: The coal composition detection module is used to collect the amount of a certain coal composition, and compare the amount of that coal composition with preset threshold ranges for coal composition. If the coal quality components are within the threshold range, the coal quality components test is deemed to meet the standard, and the coal is used as the test sample to generate the corresponding coal quality component content. If the coal quality components are not within the threshold range, the coal quality components test is deemed to be non-compliant with the standard. In this case, the coal will not be used as a test sample, and a new sample will be taken to test the coal quality components. The specific detection process for coal classification module: The coal classification module is used to obtain the content value of each coal quality component of the detected coal, compare the size of each coal quality component content value, and select the coal with the highest content value as the coal category. The specific monitoring process of the coal quality feedback module: The coal quality feedback module is used to monitor the combustion data of each category of coal after classification, when burned in different amounts. That is, the collection starts from the moment of coal combustion, collects the temperature change value of a certain type of coal with each amount used and the mass of coal slag generated within a set time period, and feeds back the collected temperature change value of a certain type of coal with each amount used and the mass of coal slag generated to the coal quality analysis module. The specific analysis process of the coal quality analysis module: The coal quality analysis module is used to draw a curve of coal temperature change value versus coal consumption value and a curve of generated coal slag mass versus coal consumption value within a set time period based on combustion data. Calculate the slope values ​​s1 and s2 of the temperature change value-coal consumption curve and the coal slag mass-coal consumption curve, respectively; The coal quality assessment coefficient L is calculated using the formula L=m(s1×a1+s2×a2), where a1 and a2 are preset weighting coefficients, and both a1 and a2 are greater than 0. m is an error correction factor. The larger the coal quality assessment coefficient L, the better the coal quality.

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