A Passive Intelligent Recognition System for Main Coal Flow Iron Removers

Abstract

The present invention discloses a passive intelligent identification system for main coal flow ironware, which includes a video input unit, a picture extraction unit, a foreign object monitoring unit, a central data processing terminal, a cloud information storage unit, an ironware passive monitoring system, a contour matching degree identification unit, an anomaly identification unit and an ironware extraction unit. The output end of the video input unit is communicatively connected to the input end of the picture extraction unit. The beneficial effects of the present invention are as follows: by adding a contour matching degree identification unit, the identification and processing of the outer frame contour of the materials in the main coal flow are realized, so as to judge whether the type of the materials is ironware, and the judgment is made according to the model of the ironware. By adding a foreign object monitoring unit, the acquisition and processing of all abnormal images except coal materials are realized. By adding an ironware extraction unit, the adsorption and extraction of the found ironware in the main coal flow are realized, thus improving the extraction efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of passive intelligent identification of ironware, and in particular to a passive intelligent identification system for ironware in the main coal flow. Background Technique

[0002] When the transportation equipment in the coal mining face starts, it starts from the outside to the inside one by one, which is called reverse coal flow start. When the transportation equipment in the coal mining face stops, it stops from the inside to the outside one by one, which is called forward coal flow stop. Coal mining is to separate valuable coal from underground or the surface and transport it away from the site. Coal deposits occur in layers, with a wide distribution range and large reserves. Coal is brittle and easy to cut and break. During mining, there are often threats of disasters such as water, fire, and gas. Compared with mining other minerals, coal mining technology has some different characteristics. The mining methods are divided into open-pit mining and underground mining. Usually, mechanized methods are used; a small number use hydraulic coal mining; underground gasification of coal is still in the experimental stage. In the existing main coal flow, it is usually necessary to extract ironware from the coal material. However, the current extraction method often directly observes by people or continuously performs magnetic attraction to remove ironware. This method is rather cumbersome, affects work efficiency, and does not have the function of passive intelligent image recognition to identify and extract ironware. Summary of the Invention

[0003] The purpose of the present invention is to provide a passive intelligent identification system for ironware in the main coal flow to solve the problems raised in the above background technique.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A passive intelligent identification system for ironware in the main coal flow includes a video input unit, a picture extraction unit, a foreign object monitoring unit, a central data processing terminal, a cloud information storage unit, an ironware passive monitoring system, a contour matching degree recognition unit, an anomaly recognition unit, an ironware extraction unit, a magnetic induction relay, a magnetic induction positioning base station, a wireless network module, and a data processing module. The output end of the video input unit is communicatively connected to the input end of the picture extraction unit. The output end of the picture extraction unit is communicatively connected to the input end of the foreign object monitoring unit. The foreign object monitoring unit is bidirectionally connected to the central data processing terminal. The central data processing terminal is bidirectionally connected to the cloud information storage unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the ironware passive monitoring system. The output end of the ironware passive monitoring system is communicatively connected to the input end of the contour matching degree recognition unit. The contour matching degree recognition unit is bidirectionally connected to the anomaly recognition unit. The output end of the anomaly recognition unit is communicatively connected to the input end of the ironware extraction unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the magnetic induction relay. The output end of the magnetic induction relay is communicatively connected to the input end of the magnetic induction positioning base station. The output end of the magnetic induction positioning base station is communicatively connected to the input end of the wireless network module. The output end of the wireless network module is communicatively connected to the input end of the data processing module;

[0005] The video input unit is used to perform video shooting and input processing on the main coal flow where ironware needs to be identified;

[0006] The picture extraction unit is used to perform picture extraction processing based on the video input by the video input unit and perform identification processing based on the pictures;

[0007] The foreign object monitoring unit is used to perform foreign object identification processing on objects other than coal materials in the image of the main coal flow;

[0008] The central data processing terminal is used to centrally store and manage the data of passive intelligent identification;

[0009] The cloud information storage unit is used to perform cloud management and storage on the data for processing the main coal flow;

[0010] The ironware passive monitoring system is used to monitor and identify the ironware materials in the main coal flow;

[0011] The contour matching degree identification unit is used to perform feature point contour capture processing on the identified ironware contour and identify the ironware according to the feature points;

[0012] The abnormal identification unit is used to perform abnormal identification and determination after comparing the ironware and finding similar feature points;

[0013] The ironware extraction unit is used to perform ironware adsorption and extraction processing on the main coal flow where ironware is identified;

[0014] The magnetic induction repeater is used to enhance the receiving ability of the ironware induction signal at the upper, middle, and lower parts of the belt transportation, and obtain the real-time distribution of the ironware;

[0015] The magnetic induction positioning base station is used to set magnetic induction positioning base stations at the head and tail of the belt transportation to receive multi-channel signals from the magnetic induction repeater;

[0016] The wireless network module is used to transmit and process signals through the wireless network;

[0017] The data processing module is used to centrally process the received data.

[0018] Preferably, the video input unit includes a real-time picture input module and an input video storage module, and the real-time picture input module is bidirectionally connected to the input video storage module;

[0019] The real-time picture input module is used to perform video shooting on the main coal flow and perform real-time acquisition processing on the video images;

[0020] The input video storage module is used to store and manage the video images acquired in real time.

[0021] Preferably, the picture extraction unit includes a video frame extraction module and an image extraction module, and the output end of the video frame extraction module is communicatively connected to the input end of the image extraction module;

[0022] The video frame extraction module is used to extract each frame of image in the video and perform clarity optimization processing on each frame of image;

[0023] The image extraction module is used to perform extraction and storage processing on each extracted frame of image.

[0024] Preferably, the ironware passive monitoring system includes an ironware identification unit and an iron filings identification unit, and the ironware identification unit and the iron filings identification unit are connected bidirectionally;

[0025] The ironware identification unit is used to perform entry processing on the ironware model image existing in the main coal flow;

[0026] The iron filings identification unit is used to perform image recognition on the iron filings covering the coal material and perform iron filings detection processing.

[0027] Preferably, the ironware identification unit includes an ironware contour scanning module and an ironware color entry module, and the ironware contour scanning module and the ironware color entry module are connected bidirectionally;

[0028] The ironware contour scanning module is used to perform contour scanning on the object image existing in the main coal flow;

[0029] The ironware color entry module is used to perform ironware model color entry processing on the color of the ironware existing in the coal flow.

[0030] Preferably, the iron filings identification unit includes an iron filings coverage identification module, an iron filings color entry module, and an iron filings confirmation module. The iron filings coverage identification module and the iron filings color entry module are connected bidirectionally, and the output end of the iron filings color entry module is communicatively connected to the input end of the iron filings confirmation module;

[0031] The iron filings coverage identification module is used to perform image recognition on each coal material and obtain and process the external image condition;

[0032] The iron filings color entry module is used to perform pre-entry processing on the color of the iron filings covering the coal material;

[0033] The iron filings confirmation module is used to compare the surface color of the iron filings coverage identification module according to the iron filings color entry module, so as to query whether there is a situation of surface iron filings coverage.

[0034] Preferably, the contour matching degree recognition unit includes a coincidence comparison module and a feature point capture module, and the output end of the coincidence comparison module is communicatively connected to the input end of the feature point capture module;

[0035] The coincidence comparison module is used to perform image coincidence comparison processing on the coal material in the main coal flow and the ironware image;

[0036] The feature point capture module is used to perform coincidence comparison processing on the feature points in each coal material and the ironware image, and calculate the similarity.

[0037] Preferably, the anomaly recognition unit includes a similarity threshold setting module and an anomaly confirmation module, and the output end of the similarity threshold setting module is communicatively connected to the input end of the anomaly confirmation module;

[0038] The similarity threshold setting module is used to set the similarity threshold for capturing and comparing feature points, and identify the presence of ironware according to the similarity threshold;

[0039] The anomaly confirmation module is used to perform anomaly confirmation processing on similar images with a similarity greater than the threshold.

[0040] Preferably, the output end of the contour matching degree recognition unit is communicatively connected to a passive flow monitoring unit, the passive flow monitoring unit is bidirectionally connected to a belt speed regulation unit, the output end of the data processing module is communicatively connected to the input end of the belt speed regulation unit, and the belt speed regulation unit includes a main coal flow speed regulation module and a conveying emergency stop module;

[0041] The passive flow monitoring unit is used to perform flow calculation processing on the main coal flow being conveyed;

[0042] The belt speed regulation unit is used to adjust the moving speed of the belt for conveying the main coal flow;

[0043] The main coal flow speed regulation module is used to adjust the conveying speed of the main coal flow;

[0044] The conveying emergency stop module is used to perform emergency conveying stop processing during the conveying of the main coal flow.

[0045] Preferably, the anomaly recognition unit is bidirectionally connected to an alarm unit, and the alarm unit is used to perform sound and light alarm processing when an abnormal ironware is recognized through a sound and light alarm.

[0046] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure.

[0047] Compared with the prior art, the beneficial effects of the present invention are as follows: By adding a contour matching degree recognition unit, the recognition and processing of the outer frame contour of the materials in the main coal flow are realized, so as to judge whether the type of the materials is ironware, and the judgment is made according to the model of the ironware. By adding a foreign object monitoring unit, the acquisition and processing of all abnormal images except the coal materials are realized. By adding an ironware extraction unit, the adsorption and extraction of the ironware found in the main coal flow are realized, thus improving the extraction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, without creative efforts, other implementation drawings can be obtained according to the provided drawings.

[0049] Figure 1 System block diagram of the present invention;

[0050] Figure 2 System block diagram of the video input unit of the present invention;

[0051] Figure 3 System block diagram of the passive ironware monitoring system of the present invention;

[0052] Figure 4 System block diagram of the belt speed regulation unit of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are only examples of devices consistent with some aspects of the present disclosure as detailed in the appended claims.

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0055] Embodiment 1:

[0056] See Figures 1 to 4As shown in the figure, a passive intelligent recognition system for main coal flow ironware in an embodiment of the present invention includes a video recording unit, a picture extraction unit, a foreign object monitoring unit, a central data processing terminal, a cloud information storage unit, an ironware passive monitoring system, a contour matching degree recognition unit, an anomaly recognition unit, an ironware extraction unit, a magnetic induction relay, a magnetic induction positioning base station, a wireless network module, and a data processing module. The output end of the video recording unit is communicatively connected to the input end of the picture extraction unit. The output end of the picture extraction unit is communicatively connected to the input end of the foreign object monitoring unit. The foreign object monitoring unit is bidirectionally connected to the central data processing terminal. The central data processing terminal is bidirectionally connected to the cloud information storage unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the ironware passive monitoring system. The output end of the ironware passive monitoring system is communicatively connected to the input end of the contour matching degree recognition unit. The contour matching degree recognition unit is bidirectionally connected to the anomaly recognition unit. The output end of the anomaly recognition unit is communicatively connected to the input end of the ironware extraction unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the magnetic induction relay. The output end of the magnetic induction relay is communicatively connected to the input end of the magnetic induction positioning base station. The output end of the magnetic induction positioning base station is communicatively connected to the input end of the wireless network module. The output end of the wireless network module is communicatively connected to the input end of the data processing module;

[0057] The video recording unit is used for video shooting and recording processing of the main coal flow where ironware needs to be recognized;

[0058] The picture extraction unit is used for picture extraction processing according to the video recorded by the video recording unit and recognition processing based on the pictures;

[0059] The foreign object monitoring unit is used for foreign object recognition processing of objects other than coal materials in the image of the main coal flow. By adding the foreign object monitoring unit, all abnormal images except coal materials can be collected and processed;

[0060] The central data processing terminal is used for centralized storage and management processing of the data of passive intelligent recognition;

[0061] The cloud information storage unit is used for cloud management and storage of the data for processing the main coal flow;

[0062] The ironware passive monitoring system is used for monitoring and recognition processing of ironware materials existing in the main coal flow;

[0063] The contour matching degree recognition unit is used for contour capture processing of the feature points of the recognized ironware contour and ironware recognition based on the feature points. By adding the contour matching degree recognition unit, it is possible to identify the outer frame contour of the materials in the main coal flow, thereby judging whether the type of the materials is ironware and making a judgment according to the model of the ironware;

[0064] The anomaly recognition unit is used to compare ironware, and after finding similar feature points, it makes an anomaly recognition determination;

[0065] The ironware extraction unit is used to adsorb and extract ironware from the main coal flow where ironware is identified. By adding the ironware extraction unit, the adsorption and extraction of ironware found in the main coal flow are realized, improving the extraction efficiency;

[0066] The magnetic induction repeater is used to enhance the receiving ability of ironware induction signals at the upper, middle, and lower parts of the belt conveyor, and to obtain the real-time distribution of ironware;

[0067] The magnetic induction positioning base station is used to set magnetic induction positioning base stations at the head and tail of the belt conveyor to receive multi-channel signals from the magnetic induction repeater;

[0068] The wireless network module is used to transmit and process signals through the wireless network;

[0069] The data processing module is used to centrally process the received data.

[0070] Embodiment 2:

[0071] Among them, the video input unit includes a real-time picture input module and an input video storage module, and the real-time picture input module and the input video storage module are connected bidirectionally;

[0072] The real-time picture input module is used to take videos of the main coal flow and perform real-time acquisition and processing of video images;

[0073] The input video storage module is used to store and manage the video images obtained in real time. When the main coal flow is transported, the real-time pictures of the main coal flow are input, and the input real-time picture videos are stored and processed.

[0074] Among them, the picture extraction unit includes a video frame extraction module and an image extraction module, and the output end of the video frame extraction module is communicatively connected to the input end of the image extraction module;

[0075] The video frame extraction module is used to extract each frame of image in the video and perform clarity optimization processing on each frame of image;

[0076] The image extraction module is used to extract and store each frame of the extracted image. Through the stored real-time picture video, extraction processing is performed according to each frame of the image to obtain the image information in the video.

[0077] Among them, the passive ironware monitoring system includes an ironware recognition unit and an iron filings recognition unit, and the ironware recognition unit and the iron filings recognition unit are connected bidirectionally;

[0078] The ironware recognition unit is used to input and process the ironware model images existing in the main coal flow;

[0079] The iron filings recognition unit is used to perform image recognition on the iron filings covering the coal material and conduct iron filings detection processing.

[0080] Among them, the ironware recognition unit includes an ironware contour scanning module and an ironware color input module, and the ironware contour scanning module is bidirectionally connected to the ironware color input module;

[0081] The ironware contour scanning module is used to perform contour scanning on the object images existing in the main coal flow;

[0082] The ironware color input module is used to perform ironware model color input processing on the color of the ironware existing in the coal flow.

[0083] Among them, the iron filings recognition unit includes an iron filings coverage recognition module, an iron filings color input module, and an iron filings confirmation module. The iron filings coverage recognition module is bidirectionally connected to the iron filings color input module, and the output end of the iron filings color input module is communicatively connected to the input end of the iron filings confirmation module;

[0084] The iron filings coverage recognition module is used to perform image recognition on each coal material and obtain and process the external image conditions;

[0085] The iron filings color input module is used to perform pre-input processing on the color of the iron filings covering the coal material;

[0086] The iron filings confirmation module is used to compare the surface color of the iron filings coverage recognition module according to the iron filings color input module, so as to query whether there is a situation of surface iron filings coverage, perform iron filings coverage recognition processing on the surface of the recognized object through the iron filings color input module, and perform iron filings coverage confirmation processing according to the surface color and glossiness of the object.

[0087] Among them, the contour matching degree recognition unit includes a coincidence comparison module and a feature point capture module, and the output end of the coincidence comparison module is communicatively connected to the input end of the feature point capture module;

[0088] The coincidence comparison module is used to perform image coincidence comparison processing on the coal material and the ironware image in the main coal flow;

[0089] The feature point capture module is used to perform coincidence comparison processing on the feature points in each coal material and the ironware image, calculate the similarity, and add the contour matching degree recognition unit, realizing the recognition processing of the outer frame contour of the materials in the main coal flow, so as to judge whether the type of the material is an ironware and make a judgment according to the model of the ironware.

[0090] Among them, the anomaly recognition unit includes a similarity threshold setting module and an anomaly confirmation module, and the output end of the similarity threshold setting module is communicatively connected to the input end of the anomaly confirmation module;

[0091] The similarity threshold setting module is used to set the similarity threshold for capturing and comparing feature points, and identify the presence of ironware according to the similarity threshold;

[0092] The anomaly confirmation module is used to perform anomaly confirmation processing on similar images with a similarity greater than the threshold, monitor foreign objects in the images, identify and scan the contours of each object, input the color of the objects, compare the pre-input color of the ironware with the color of the objects, compare the feature points of the objects with the feature points of the ironware for coincidence, obtain the similarity value according to the coincidence, and confirm the ironware according to the set similarity threshold.

[0093] Among them, the output end of the contour matching degree recognition unit is communicatively connected to the passive flow monitoring unit, the passive flow monitoring unit is bidirectionally connected to the belt speed regulation unit, the output end of the data processing module is communicatively connected to the input end of the belt speed regulation unit, and the belt speed regulation unit includes a main coal flow speed regulation module and a conveying emergency stop module;

[0094] The passive flow monitoring unit is used to perform flow calculation processing on the main coal flow being conveyed;

[0095] The belt speed regulation unit is used to adjust the moving speed of the belt conveying the main coal flow;

[0096] The main coal flow speed regulation module is used to adjust the conveying speed of the main coal flow;

[0097] The conveying emergency stop module is used to perform emergency conveying stop processing on the main coal flow during conveying, adjust the conveying speed of the main coal flow, and perform an emergency stop on the main coal flow conveying when an ironware is recognized.

[0098] Among them, the anomaly recognition unit is bidirectionally connected to the alarm unit, and the alarm unit is used to perform sound and light alarm processing when an abnormal ironware is recognized through a sound and light alarm.

[0099] Embodiment 3:

[0100] S1. When conveying the main coal flow, input the real-time picture of the main coal flow, store and process the input real-time picture video, extract the video according to each frame of the image through the stored real-time picture video, and obtain the image information in the video;

[0101] S2. Add magnetic induction repeaters at the upper, middle, and lower parts of the belt conveying system, which have UWB precise positioning functions, enhance the receiving ability of the repeaters to receive ironware induction signals, obtain the ironware distribution situation of the coal flow system in real time, add magnetic induction positioning base stations at the head and tail of the main transportation system, receive multi-channel signals from the magnetic induction repeaters, and transmit the signals to the host through the wireless network and the industrial ring network for data processing and statistical analysis;

[0102] S3. Monitor foreign objects in the image. Identify and scan the contours of each object, record the color of the object, compare the pre-recorded color of the ironware with the color of the object, compare the feature points of the object with those of the ironware for coincidence, obtain a similarity value based on the coincidence, and confirm the ironware according to the set similarity threshold;

[0103] S4. Use the iron filings color recording module to identify and process the iron filings covering the surface of the identified object, and confirm the iron filings covering according to the surface color and glossiness of the object;

[0104] S5. After identifying the ironware, perform audible and visual alarm processing through the alarm unit. At the same time, adjust the conveying speed of the main coal flow, stop the main coal flow immediately when the ironware is identified, and adsorb and extract the ironware from the main coal flow where the ironware is identified.

[0105] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

[0106] After considering the specification and practicing the disclosure herein, those skilled in the art will readily conceive of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope of the present disclosure is pointed out by the following claims.

Claims

1. A passive intelligent recognition system for main coal flow ironware, characterized in that, it includes a video recording unit, a picture extraction unit, a foreign object monitoring unit, a central data processing terminal, a cloud information storage unit, an ironware passive monitoring system, a contour matching degree recognition unit, an anomaly recognition unit, an ironware extraction unit, a magnetic induction repeater, a magnetic induction positioning base station, a wireless network module and a data processing module. The output end of the video recording unit is communicatively connected to the input end of the picture extraction unit. The output end of the picture extraction unit is communicatively connected to the input end of the foreign object monitoring unit. The foreign object monitoring unit is bidirectionally connected to the central data processing terminal. The central data processing terminal is bidirectionally connected to the cloud information storage unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the ironware passive monitoring system. The output end of the ironware passive monitoring system is communicatively connected to the input end of the contour matching degree recognition unit. The contour matching degree recognition unit is bidirectionally connected to the anomaly recognition unit. The output end of the anomaly recognition unit is communicatively connected to the input end of the ironware extraction unit. The output end of the foreign object monitoring unit is communicatively connected to the input end of the magnetic induction repeater. The output end of the magnetic induction repeater is communicatively connected to the input end of the magnetic induction positioning base station. The output end of the magnetic induction positioning base station is communicatively connected to the input end of the wireless network module. The output end of the wireless network module is communicatively connected to the input end of the data processing module; The video recording unit is used for video shooting and recording processing of the main coal flow where ironware needs to be recognized; The picture extraction unit is used for picture extraction processing according to the video recorded by the video recording unit and for recognition processing according to the pictures; The foreign object monitoring unit is used for foreign object recognition processing of objects other than coal materials in the image of the main coal flow; The central data processing terminal is used for centralized storage and management processing of passive intelligent recognition data; The cloud information storage unit is used for cloud management and storage of data for processing the main coal flow; The ironware passive monitoring system is used for monitoring and recognition processing of ironware materials in the main coal flow; The contour matching degree recognition unit is used for contour capture processing of the recognized ironware contour at feature points and for ironware recognition according to the feature points; The anomaly recognition unit is used for anomaly recognition and determination after comparing ironware and finding similar feature points; The ironware extraction unit is used for ironware adsorption and extraction processing of the main coal flow where ironware is recognized; The magnetic induction repeater is used for enhancing the receiving ability of ironware induction signals at the upper, middle and lower parts of belt transportation and for real-time acquisition of the ironware distribution situation; The magnetic induction positioning base station is used for setting magnetic induction positioning base stations at the head and tail of belt transportation to receive multi-channel signals from the magnetic induction repeater; The wireless network module is used for signal transmission processing through the wireless network; The data processing module is used for centralized processing of the received data; The ironware passive monitoring system includes an ironware recognition unit and an iron filings recognition unit, and the ironware recognition unit and the iron filings recognition unit are bidirectionally connected; The ironware recognition unit is used to input and process the ironware model images existing in the main coal flow; The iron filings recognition unit is used to perform image recognition on the iron filings covering the coal material and perform iron filings detection processing.

2. A passive intelligent recognition system for ironware in the main coal flow according to claim 1, characterized in that the video input unit includes a real-time picture input module and an input video storage module, and the real-time picture input module is bidirectionally connected to the input video storage module; the real-time picture input module is used to shoot videos of the main coal flow and perform real-time acquisition processing on the video images; the input video storage module is used to store and manage the video images acquired in real time.

3. A passive intelligent recognition system for ironware in the main coal flow according to claim 2, characterized in that the picture extraction unit includes a video frame extraction module and an image extraction module, and the output end of the video frame extraction module is communicatively connected to the input end of the image extraction module; the video frame extraction module is used to extract each frame of image in the video and perform clarity optimization processing on each frame of image; the image extraction module is used to perform extraction and storage processing on each frame of image extracted.

4. A passive intelligent recognition system for ironware in the main coal flow according to claim 1, characterized in that the ironware recognition unit includes an ironware contour scanning module and an ironware color input module, and the ironware contour scanning module is bidirectionally connected to the ironware color input module; the ironware contour scanning module is used to perform contour scanning on the object images existing in the main coal flow; the ironware color input module is used to perform ironware model color input processing on the color of the ironware existing in the coal flow.

5. A passive intelligent recognition system for ironware in the main coal flow according to claim 4, characterized in that the iron filings recognition unit includes an iron filings coverage recognition module, an iron filings color input module and an iron filings confirmation module, the iron filings coverage recognition module is bidirectionally connected to the iron filings color input module, and the output end of the iron filings color input module is communicatively connected to the input end of the iron filings confirmation module; the iron filings coverage recognition module is used to perform image recognition on each coal material and perform acquisition processing on the external image conditions; the iron filings color input module is used to perform pre-input processing on the color of the iron filings covering the coal material; the iron filings confirmation module is used to compare the surface color of the iron filings coverage recognition module according to the iron filings color input module, so as to check whether there is a situation of surface iron filings coverage.

6. A passive intelligent recognition system for ironware in the main coal flow according to claim 5, characterized in that the contour matching degree recognition unit includes a coincidence comparison module and a feature point capture module, and the output end of the coincidence comparison module is communicatively connected to the input end of the feature point capture module; the coincidence comparison module is used to perform image coincidence comparison processing on the coal material and the ironware image in the main coal flow; the feature point capture module is used to perform coincidence comparison processing on the feature points in each coal material and the ironware image, and perform similarity calculation processing.

7. A passive intelligent recognition system for ironware in the main coal flow according to claim 6, characterized in that The abnormal recognition unit includes a similarity threshold setting module and an abnormality confirmation module, and the output end of the similarity threshold setting module is communicatively connected to the input end of the abnormality confirmation module; The similarity threshold setting module is used to set the similarity threshold for capturing and comparing feature points, and identify the presence of ironware according to the similarity threshold; The abnormality confirmation module is used to perform abnormality confirmation processing on similar images with a similarity greater than the threshold.

8. A passive intelligent recognition system for main coal flow ironware according to claim 7, wherein, The output end of the contour matching degree recognition unit is communicatively connected to a passive flow monitoring unit, the passive flow monitoring unit is bidirectionally connected to a belt speed regulation unit, the output end of the data processing module is communicatively connected to the input end of the belt speed regulation unit, and the belt speed regulation unit includes a main coal flow speed regulation module and a conveying emergency stop module; The passive flow monitoring unit is used to perform flow calculation processing on the main coal flow being conveyed; The belt speed regulation unit is used to adjust the moving speed of the belt conveying the main coal flow; The main coal flow speed regulation module is used to adjust the conveying speed of the main coal flow; The conveying emergency stop module is used to perform emergency conveying stop processing during the conveying of the main coal flow.

9. A passive intelligent recognition system for main coal flow ironware according to claim 8, wherein, The abnormal recognition unit is bidirectionally connected to an alarm unit, and the alarm unit is used to perform sound and light alarm processing when an abnormal ironware is recognized through a sound and light alarm.

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