Dustproof measure effect abnormity tracing method for fully mechanized coal mining face

Abstract

The invention relates to a fully mechanized coal mining face dustproof measure effect abnormity tracing method, which belongs to the technical field of dust disaster monitoring and early warning, and comprises the following steps: S1, establishing a fully mechanized coal mining face dustproof measure abnormity tracing knowledge base; s2, measuring the dust concentration during production in the fully mechanized coal mining face by adopting a filter membrane weighing method when no dustproof measure is taken; s3, monitoring the dust concentration in real time by using a dust concentration sensor in the air return crossheading of the fully mechanized coal mining face; s4, calculating the real-time dust falling efficiency of the fully mechanized coal mining face, and when the real-time dust falling efficiency is smaller than an abnormal threshold value, judging that the dustproof measure effect is abnormal; and S5, establishing a dustproof measure abnormity traceability priority rule, and finding one or more reasons causing the dustproof effect abnormity by combining data in the fully mechanized coal mining face dustproof measure abnormity traceability knowledge base and adopting a multi-level traceability rule.

Description

Technical Field

[0001] The present invention belongs to the technical field of dust disaster monitoring and early warning, and relates to a method for tracing the abnormal effects of dust prevention measures in a fully mechanized mining working face. Background Art

[0002] Dust is one of the major hazards in underground coal mines, posing a serious threat to the physical and mental health of workers and the safe production of enterprises. The tunneling face is one of the main dust-producing areas in underground coal mines. While existing technologies have implemented a range of measures to combat dust in fully mechanized coal mining faces, such as installing dust concentration sensors, coal seam water injection, and dust source tracking spray systems, these measures still face numerous challenges in practical application. While existing fully mechanized coal mining face dust monitoring systems can provide real-time monitoring of dust concentration in fully mechanized coal mining faces, they suffer from the following shortcomings: The data dimension is single, monitoring only concentration without correlating analysis with dust source characteristics (such as cutting speed and pick wear), equipment status (spray pressure, pipeline flow), and environmental parameters (wind speed, humidity); The diagnostic logic is rigid, using a threshold alarm mechanism (e.g., immediate triggering upon exceeding a limit) that fails to distinguish between momentary limits (equipment startup and shutdown) and persistent limits (system failure); and the response mechanism is lagging, relying on manual troubleshooting, leading to the cumulative risk of uncontrolled dust concentration. The reason is that the system lacks the ability to deeply analyze and trace the reasons for abnormal dust reduction effects of dust control equipment. When the dust concentration exceeds the standard, the system cannot automatically identify the cause of the abnormal dust control effect, such as increased dust production, dust removal equipment failure, or spray system failure. This leads to a lack of specificity in the management personnel's response measures.

[0003] In summary, existing technologies lack the ability to deeply analyze and trace the causes of abnormal dust reduction effects of dust control equipment. When the dust concentration exceeds the standard, the system cannot automatically identify the cause of the abnormal dust reduction effect, such as increased dust production, dust removal equipment failure, or spray system failure. Summary of the Invention

[0004] In view of this, the object of the present invention is to provide a method for tracing the abnormal effects of dust prevention measures in a fully mechanized mining working face.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A method for tracing the abnormal effects of dust prevention measures in a fully mechanized mining face comprises the following steps:

[0007] S1: Establish a knowledge base for tracing abnormal dust prevention measures in fully mechanized mining working faces;

[0008] S2: The dust concentration in the fully mechanized mining face during production is measured using the filter membrane weighing method without taking any dust prevention measures;

[0009] S3: Use the dust concentration sensor in the return air chute of the fully mechanized mining face to monitor the dust concentration in real time;

[0010] S4: Calculate the real-time dust reduction efficiency of the fully mechanized mining face. When the real-time dust reduction efficiency is less than the abnormal threshold, it is determined that the dust prevention measures are abnormal.

[0011] S5: Establish priority rules for tracing abnormal dust prevention measures, combine the data in the knowledge base for tracing abnormal dust prevention measures in fully mechanized mining working faces, and use multi-level tracing rules to find one or more reasons for abnormal dust prevention effects.

[0012] Furthermore, the abnormal tracing knowledge base of dust prevention measures in the comprehensive mining working face includes dust prevention measures in the comprehensive mining working face, the dust reduction efficiency of each dust prevention measure, the comprehensive dust reduction efficiency when multiple dust prevention measures are adopted, the weight of the abnormal dust reduction effect of each dust prevention measure, and the reasons for the abnormal dust reduction effect of each dust prevention measure.

[0013] Furthermore, dust prevention measures for the fully mechanized mining working face include coal seam water injection, spraying inside the coal mining machine, spraying outside the coal mining machine, spraying on supports, dust collection devices between supports, airborne dust collectors, coal mining machine tracking spraying, and return air chute spraying.

[0014] Furthermore, the dust reduction efficiency of coal seam water injection η1, the dust reduction efficiency of spraying inside the coal mining machine η2, the dust reduction efficiency of spraying outside the coal mining machine η3, the dust reduction efficiency of spraying on the support η4, the dust reduction efficiency of the dust collection device between the supports η5, the dust reduction efficiency of the airborne dust collector η6, the dust reduction efficiency of the coal mining machine tracking spray η7, the dust reduction efficiency of spraying in the return air chute η8, and the comprehensive dust reduction efficiency when multiple dust prevention measures are adopted η a for:

[0015]

[0016] Furthermore, based on the coverage and contribution of dust control measures, the weight of the abnormal dust reduction effect of each dust control measure is calculated:

[0017]

[0018] Among them, S i is the coverage area of ​​dust prevention measures, E i Dust reduction efficiency for dust prevention measures;

[0019] The weight of abnormal dust reduction effect of coal seam water injection is K1, the weight of abnormal dust reduction effect of spray inside coal mining machine is K2, the weight of abnormal dust reduction effect of spray outside coal mining machine is K3, the weight of abnormal dust reduction effect of support spray is K4, the weight of abnormal dust reduction effect of dust collection device between supports is K5, the weight of abnormal dust reduction effect of airborne dust collector is K6, the weight of abnormal dust reduction effect of coal mining machine tracking spray is K7, and the weight of abnormal dust reduction effect of return air chute spray is K8.

[0020] Furthermore, the reasons for the abnormal dust suppression effect of coal seam water injection include: low water injection pressure, short water injection time, and cracks in the coal seam;

[0021] The reasons for the abnormal dust suppression effect of spraying in coal mining machines are: low spray pressure and low spray flow;

[0022] The reasons for the abnormal dust suppression effect of the shearer's external spraying are: low spray pressure and low spray flow;

[0023] The reasons for the abnormal dust suppression effect of the bracket spray are: low spray pressure and low spray flow;

[0024] The reasons that lead to abnormal dust reduction effect of dust collection device between brackets include: size of dust collection device, material of dust collection device;

[0025] The reasons for the abnormal dust reduction effect of the airborne dust collector are: the dust collector is not turned on and the dust extraction air volume of the dust collector is low;

[0026] The reasons for the abnormal dust suppression effect of the coal mining machine tracking spray are: low spray pressure, low spray flow, small number of spray openings, and low coal mining machine positioning accuracy;

[0027] The reasons for abnormal dust suppression effect of return air chute spray are: the spray dust suppression device is not turned on, the spray pressure is low and the spray flow rate is low;

[0028] Set ranges for the parameters corresponding to the above reasons respectively.

[0029] Furthermore, in step S3, the arithmetic mean value C2 of the dust concentration at the dust concentration sensor and at Nmin is calculated, where 1≤N≤30.

[0030] Further, in step S4, the dust reduction efficiency η of the fully mechanized mining face monitored by the dust concentration sensor is calculated. b :

[0031]

[0032] Wherein C1 is the dust concentration measured by the filter membrane weighing method in step S2;

[0033] When η b <0.85×η a When the dust prevention measures are judged to be abnormal, the cause of the abnormality is investigated.

[0034] Furthermore, the priority rules for tracing the abnormality of the dust prevention measures in step S5 are as follows:

[0035] Level 1 weight: high-weight measures, including coal seam water injection, shearer internal spraying, and shearer external spraying;

[0036] Secondary weight: medium weight measures, including support spraying, dust capture devices between supports, and shearer tracking spraying;

[0037] Third level weight: low weight measures, including on-board dust collector, return air chute spray.

[0038] Further, the multi-level traceability rule in step S5 is used to find one or more reasons causing the dust prevention effect to be abnormal, and specifically includes the following steps:

[0039] S51: simultaneously check the operation of the first level weight dust prevention measures, check whether the operation parameters of the coal seam water injection, the internal spray of the coal mining machine and the external spray of the coal mining machine are within the set range, if one or more parameters are not within the set range, the traceability result is obtained, and the second level weight and the third level weight are no longer continued to be investigated;

[0040] S52: if it is not caused by the first level weight, simultaneously check the operation of the second level weight dust prevention measures, check whether the operation parameters of the support spray, the support inter-catcher dust collector and the coal mining machine tracking spray are within the set range, if one or more parameters are not within the set range, the traceability result is obtained, and the third level weight is no longer continued to be investigated;

[0041] S53: if it is not caused by the second level weight, simultaneously check the operation of the third level weight dust prevention measures, check whether the operation parameters of the on-board dust collector and the return air chute spray are within the set range, if one or more parameters are not within the set range, the traceability result is obtained.

[0042] The beneficial effects of the present application are that the traceability method for dust prevention measures dust reduction effect abnormality of a fully mechanized working face is disclosed, a dynamic weight model is used, the dust reduction efficiency, the operation condition and the operation parameter of the dust prevention equipment are monitored, the reasons causing the dust prevention measure effect abnormality of the fully mechanized working face in the coal mine underground are quickly analyzed, the efficiency of the present artificial judgment reason is higher, and the labor intensity of workers is reduced.

[0043] Other advantages, objects and features of the present application will be in part apparent and in part pointed out hereinafter in the specification, and will be observed by variations now being given or which may be employed in the practice of the present application, and which will be within the scope of the application as defined by the appended claims. The objects and other advantages of the present application will be realized and attained by the methods and procedures particularly pointed out in the following description. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to make the purposes, technical solutions and advantages of the present application clearer, the preferred detailed description of the present application will be combined with the drawings, and the drawings are as follows:

[0045] Figure 1 The flow chart is used for the traceability method for dust prevention measure effect abnormality of a fully mechanized working face. DETAILED DESCRIPTION

[0046] The following describes the embodiments of the present invention by means of specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0047] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0048] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the embodiments of the present invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring the embodiments of the present invention.

[0049] Example 1:

[0050] like Figure 1 As shown, the present invention provides a method for tracing the abnormal effect of dust prevention measures in fully mechanized mining working faces. The method analyzes the causes of abnormal dust prevention effects based on the dust reduction efficiency, operating conditions, and operating parameters of the dust prevention equipment. The method specifically includes the following steps:

[0051] S1: Establish a knowledge base for tracing abnormal dust prevention measures in fully mechanized mining working faces. The knowledge base includes:

[0052] Dust prevention measures for fully mechanized mining working faces include coal seam water injection, internal shearer spraying, external shearer spraying, support spraying, dust collection devices between supports, airborne dust collectors, shearer tracking spraying, and return air chute spraying.

[0053] The dust reduction efficiency of coal seam water injection is η1, the dust reduction efficiency of spraying inside the coal mining machine is η2, the dust reduction efficiency of spraying outside the coal mining machine is η3, the dust reduction efficiency of spraying through the support is η4, the dust reduction efficiency of the dust collection device between the supports is η5, the dust reduction efficiency of the airborne dust collector is η6, the dust reduction efficiency of the coal mining machine tracking spray is η7, and the dust reduction efficiency of spraying in the return air chute is η8.

[0054] Comprehensive dust reduction efficiency η when multiple dust prevention measures are adopted a for:

[0055]

[0056] According to the coverage and contribution of the above dust prevention measures, the weight of each dust prevention measure is calculated.

[0057]

[0058] Among them, S i is the coverage area of ​​dust prevention measures, E i Dust reduction efficiency for dust prevention measures.

[0059] The weight of abnormal dust reduction effect of coal seam water injection is K1, the weight of abnormal dust reduction effect of spray inside coal mining machine is K2, the weight of abnormal dust reduction effect of spray outside coal mining machine is K3, the weight of abnormal dust reduction effect of support spray is K4, the weight of abnormal dust reduction effect of dust collection device between supports is K5, the weight of abnormal dust reduction effect of airborne dust collector is K6, the weight of abnormal dust reduction effect of coal mining machine tracking spray is K7, and the weight of abnormal dust reduction effect of return air chute spray is K8.

[0060] The reasons for the abnormal dust reduction effect of coal seam water injection include: low water injection pressure, short water injection time, and cracks in the coal seam.

[0061] The reasons for the abnormal dust suppression effect of spraying in coal mining machines are: low spray pressure and low spray flow.

[0062] The reasons for the abnormal dust suppression effect of external spraying of coal mining machines are: low spray pressure and low spray flow.

[0063] The reasons that lead to abnormal dust suppression effect of bracket spray are: low spray pressure and low spray flow.

[0064] The reasons that lead to abnormal dust reduction effect of the dust collection device between the brackets include: the size of the dust collection device and the material of the dust collection device.

[0065] The reasons for the abnormal dust reduction effect of the airborne dust collector are: the dust collector is not turned on and the dust extraction air volume of the dust collector is low.

[0066] The reasons for the abnormal dust suppression effect of the coal mining machine tracking spray are: low spray pressure, low spray flow, small number of spray openings, and low coal mining machine positioning accuracy.

[0067] The reasons for abnormal dust suppression effect of return air chute spray are: the spray dust suppression device is not turned on, the spray pressure is low and the spray flow rate is small.

[0068] Set ranges for the parameters corresponding to the above reasons respectively.

[0069] S2: The dust concentration C1 during production in the fully mechanized mining face is measured using the filter membrane weighing method when no dust prevention measures are taken.

[0070] A dust concentration sensor is installed in the return air chute of the fully mechanized mining face.

[0071] S3: Calculate the arithmetic mean C2 of the dust concentration sensor and the dust concentration in Nmin, 1≤N≤30.

[0072] S4: Calculate the dust reduction efficiency η of the fully mechanized mining face monitored by the dust concentration sensor b :

[0073]

[0074] When η b <0.85×η a When the dust prevention measures are judged to be abnormal, the cause of the abnormality is investigated.

[0075] S5: Based on the weights of the above reasons, establish priority rules for tracing the abnormalities of dust prevention measures, and use multi-level tracing rules to find one or more reasons that lead to abnormal dust prevention effects.

[0076] Level 1 weight: high-weight measures, including coal seam water injection, shearer internal spraying, and shearer external spraying;

[0077] Secondary weight: medium weight measures, including support spraying, dust capture devices between supports, and shearer tracking spraying;

[0078] Level 3 weight: low-weight measures, including airborne dust collectors and return air chute spraying.

[0079] The traceability process is as follows:

[0080] The first step is to check the operation of the dust prevention measures of the first-level weight at the same time, and check whether the operating parameters of coal seam water injection, coal mining machine internal spraying, and coal mining machine external spraying are within the set range. If one or several parameters are not within the set range, the traceability result is obtained, and the causes of the second-level weight and the third-level weight will no longer be investigated.

[0081] In the second step, if it is not caused by the first-level weight, then check the operation of the dust prevention measures of the second-level weight at the same time, and check whether the operating parameters of the support spray, the dust collection device between the supports, and the coal mining machine tracking spray are within the set range. If one or several parameters are not within the set range, the traceability result is obtained and the cause of the third-level weight will no longer be investigated.

[0082] The third step is, if it is not caused by the secondary weight, then check the operation of the dust prevention measures of the tertiary weight at the same time, and check whether the operating parameters of the airborne dust collector and the return air chute spray are within the set range. If one or several parameters are not within the set range, the traceability result is obtained.

[0083] Example 2:

[0084] An electronic device comprising a memory and a processor;

[0085] The memory is used to store computer programs;

[0086] The processor is configured to implement the method described in Example 1 when executing the computer program.

[0087] Example 3:

[0088] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in Example 1 is implemented.

[0089] Example X:

[0090] A computer program product includes a computer program, which implements the method described in embodiment 1 when executed by a processor.

[0091] In the above embodiments, references to "this embodiment" in the specification indicate that a particular feature, structure, or characteristic described in conjunction with the embodiment is included in at least some embodiments, but not necessarily all embodiments. Multiple occurrences of "this embodiment" do not necessarily refer to the same embodiment.

[0092] In the above embodiments, references to "this embodiment" in the specification indicate that a particular feature, structure, or characteristic described in conjunction with the embodiment is included in at least some embodiments, but not necessarily all embodiments. Multiple occurrences of "this embodiment" do not necessarily refer to the same embodiment.

[0093] In the above embodiments, although the invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art based on the foregoing description. For example, other memory structures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed. The embodiments of the present invention are intended to encompass all such alternatives, modifications, and variations that fall within the broad scope of the appended claims.

[0094] Regarding the computer-readable storage medium in this embodiment, those skilled in the art will appreciate that all or part of the steps in the aforementioned method embodiments can be implemented using hardware associated with the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps in the aforementioned method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0095] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication with each other. The memory is used to store computer programs, the communication interface is used for communication, and the processor and the transceiver are used to run computer programs so that the electronic terminal executes the various steps of the above method.

[0096] In this embodiment, the memory may include a random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0097] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.

[0098] The present invention can be used in a wide variety of general-purpose or special-purpose computing system environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments that include any of the above.

[0099] The present invention may be described in the general context of computer-executable instructions, such as program modules, executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media, including storage devices.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for tracing the source of abnormal dust prevention measures in a fully mechanized mining face, characterized by: The following steps are involved: S1: Establish a knowledge base for tracing abnormal dust prevention measures in fully mechanized mining working faces; S2: The dust concentration in the fully mechanized mining face during production is measured using the filter membrane weighing method without taking any dust prevention measures; S3: Use the dust concentration sensor in the return air chute of the fully mechanized mining face to monitor the dust concentration in real time; S4: Calculate the real-time dust reduction efficiency of the fully mechanized mining face. When the real-time dust reduction efficiency is less than the abnormal threshold, it is determined that the dust prevention measures are abnormal. S5: Establish priority rules for tracing abnormal dust prevention measures, combine the data in the knowledge base for tracing abnormal dust prevention measures in fully mechanized mining working faces, and use multi-level tracing rules to find one or more reasons for abnormal dust prevention effects.

2. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 1 is characterized in that: The abnormal tracing knowledge base of dust prevention measures in the comprehensive mining working face includes dust prevention measures in the comprehensive mining working face, the dust reduction efficiency of each dust prevention measure, the comprehensive dust reduction efficiency when multiple dust prevention measures are adopted, the weight of the abnormal dust reduction effect of each dust prevention measure, and the reason for the abnormal dust reduction effect of each dust prevention measure.

3. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 2 is characterized in that: Dust prevention measures for fully mechanized mining working faces include coal seam water injection, internal shearer spraying, external shearer spraying, support spraying, dust collection devices between supports, airborne dust collectors, shearer tracking spraying, and return air chute spraying.

4. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 3 is characterized by: The dust reduction efficiency of coal seam water injection η1, the dust reduction efficiency of spray inside the coal mining machine η2, the dust reduction efficiency of spray outside the coal mining machine η3, the dust reduction efficiency of spray on the support η4, the dust reduction efficiency of the dust collection device between the supports η5, the dust reduction efficiency of the airborne dust collector η6, the dust reduction efficiency of the coal mining machine tracking spray η7, the dust reduction efficiency of spray in the return air chute η8, and the comprehensive dust reduction efficiency when multiple dust prevention measures are adopted η a for:

5. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 3 is characterized in that: According to the coverage and contribution of dust control measures, the weight of abnormal dust reduction effect of each dust control measure is calculated: Among them, S i is the coverage area of ​​dust prevention measures, E i Dust reduction efficiency for dust prevention measures; The weight of abnormal dust reduction effect of coal seam water injection is K1, the weight of abnormal dust reduction effect of spray inside coal mining machine is K2, the weight of abnormal dust reduction effect of spray outside coal mining machine is K3, the weight of abnormal dust reduction effect of support spray is K4, the weight of abnormal dust reduction effect of dust collection device between supports is K5, the weight of abnormal dust reduction effect of airborne dust collector is K6, the weight of abnormal dust reduction effect of coal mining machine tracking spray is K7, and the weight of abnormal dust reduction effect of return air chute spray is K8.

6. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 3 is characterized in that: The reasons for abnormal dust suppression effect of coal seam water injection are: low water injection pressure, short water injection time, and cracks in the coal seam; The reasons for the abnormal dust suppression effect of spraying in coal mining machines are: low spray pressure and low spray flow; The reasons for the abnormal dust suppression effect of the shearer's external spraying are: low spray pressure and low spray flow; The reasons for the abnormal dust suppression effect of the bracket spray are: low spray pressure and low spray flow; The reasons that lead to abnormal dust reduction effect of dust collection device between brackets include: size of dust collection device, material of dust collection device; The reasons for the abnormal dust reduction effect of the airborne dust collector are: the dust collector is not turned on and the dust extraction air volume of the dust collector is low; The reasons for the abnormal dust suppression effect of the coal mining machine tracking spray are: low spray pressure, low spray flow, small number of spray openings, and low coal mining machine positioning accuracy; The reasons for abnormal dust suppression effect of return air chute spray are: the spray dust suppression device is not turned on, the spray pressure is low and the spray flow rate is low; Set ranges for the parameters corresponding to the above reasons respectively.

7. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 1 is characterized in that: In step S3, the arithmetic mean value C2 of the dust concentration at the dust concentration sensor and at Nmin is calculated, where 1≤N≤30.

8. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 7 is characterized in that: In step S4, the dust reduction efficiency η of the fully mechanized mining face monitored by the dust concentration sensor is calculated. b : Wherein C1 is the dust concentration measured by the filter membrane weighing method in step S2; When η b <0.85×η a When the dust prevention measures are judged to be abnormal, the cause of the abnormality is investigated.

9. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 1 is characterized in that: The priority rules for tracing the abnormality of the dust prevention measures in step S5 are as follows: Level 1 weight: high-weight measures, including coal seam water injection, shearer internal spraying, and shearer external spraying; Secondary weight: medium weight measures, including support spraying, dust capture devices between supports, and shearer tracking spraying; Level 3 weight: low-weight measures, including airborne dust collectors and return air chute spraying.

10. The method for tracing the abnormal effect of dust prevention measures in a fully mechanized mining face according to claim 9 is characterized in that: Step S5 uses a multi-level tracing rule to find one or more causes of abnormal dust prevention effect, which specifically includes the following steps: S51: Simultaneously check the operation of the dust prevention measures of the first-level weight, and check whether the operating parameters of the coal seam water injection, coal shearer internal spray, and coal shearer external spray are within the set range. If one or more parameters are not within the set range, the tracing result is obtained and the cause of the second-level weight and the third-level weight is no longer investigated; S52: If the cause is not the first-level weight, then check the operation of the dust prevention measures of the second-level weight at the same time, and check whether the operating parameters of the support spray, the dust collection device between the supports, and the coal mining machine tracking spray are within the set range. If one or more parameters are not within the set range, the tracing result is obtained and the cause of the third-level weight is not further investigated; S53: If it is not caused by the secondary weight, then check the operation of the dust prevention measures of the tertiary weight at the same time, and check whether the operating parameters of the airborne dust collector and the return air chute spray are within the set range. If one or several parameters are not within the set range, the traceability result is obtained.

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