CN110422588B - Monitoring method, device, equipment and storage medium for scraper conveyor - Google Patents
Monitoring method, device, equipment and storage medium for scraper conveyor Download PDFInfo
- Publication number
- CN110422588B CN110422588B CN201910690593.1A CN201910690593A CN110422588B CN 110422588 B CN110422588 B CN 110422588B CN 201910690593 A CN201910690593 A CN 201910690593A CN 110422588 B CN110422588 B CN 110422588B
- Authority
- CN
- China
- Prior art keywords
- scraper conveyor
- image frame
- current image
- scraper
- operation state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2201/00—Indexing codes relating to handling devices, e.g. conveyors, characterised by the type of product or load being conveyed or handled
- B65G2201/04—Bulk
- B65G2201/045—Sand, soil and mineral ore
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/041—Camera
Landscapes
- Control Of Conveyors (AREA)
Abstract
The embodiment of the invention relates to the technical field of mining, in particular to a monitoring method, a monitoring device, monitoring equipment and a storage medium for a scraper conveyor. The embodiment of the invention discloses a monitoring method of a scraper conveyor, which comprises the following steps: acquiring a current image frame of the fully mechanized mining face; determining whether a scraper conveyor in the current image frame is in a running state; if so, judging whether the scraper conveyor is in an abnormal operation state, and if so, generating alarm indication information for indicating that the scraper conveyor is in the abnormal operation state. By adopting the method, the abnormal working state of the scraper conveyor can be determined by analyzing the image frames, and the monitoring effect of the running state of the scraper conveyor is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of mining, in particular to a monitoring method, a monitoring device, monitoring equipment and a storage medium for a scraper conveyor.
Background
The coal industry plays an important role in social production, and coal mine production equipment is an important guarantee for the healthy and orderly development of the coal industry. In the coal mine production operation process, the coal mine production equipment is in an abnormal state for a long time, so that the equipment is damaged. Particularly, in the coal conveying process of the scraper conveyor on the fully mechanized mining face side, due to carelessness of workers, the scraper conveyor is often in a long-time no-load or overload running state, so that coal mine production equipment is easily damaged, the production operation cost is increased, and the production operation progress is also influenced. At present, the monitoring process aiming at the running state of the fully-mechanized working face scraper conveyor is manually patrolled, however, for a large-scale mine field, the fully-mechanized working face is more, the running condition of each underground fully-mechanized working face scraper conveyor cannot be timely and comprehensively mastered, and the monitoring and the alarming cannot be effectively carried out.
Disclosure of Invention
Therefore, the embodiment of the invention provides a scraper conveyor monitoring method, a scraper conveyor monitoring device, scraper conveyor monitoring equipment and a storage medium, and aims to solve the problem that manual monitoring and alarming effects are poor in the prior art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to the embodiment of the invention, the monitoring method of the scraper conveyor comprises the following steps: acquiring a current image frame of the fully mechanized mining face; judging whether the scraper conveyor in the current image frame is in a running state or not; if so, judging whether the scraper conveyor is in an abnormal operation state, and if so, generating alarm indication information for indicating that the scraper conveyor is in the abnormal operation state.
Further, the determining whether the scraper conveyor in the current image frame is in a running state specifically includes:
obtaining a first image frame after the current image frame;
and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
Further, whether the scraper conveyor is in an abnormal operation state or not is judged, and if yes, alarm indication information used for indicating that the scraper conveyor is in the abnormal operation state is generated, and the method specifically comprises the following steps: if the scraper conveyors in the current image frame are determined to be unloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are unloaded, and if the scraper conveyors in the plurality of image frames are determined to be unloaded, determining that the scraper conveyors are in a long-time unloaded abnormal operation state;
and generating alarm indication information for indicating that the scraper conveyor is in an idle abnormal operation state.
Further, determining that the scraper conveyor in the current image frame is empty comprises:
determining a coal area on the scraper conveyor and a marking frame thereof in the current image frame by using a target detection algorithm;
determining that the scraper conveyor in the current image frame is empty if the ratio of the height of the marking frame to the standard value of the height is less than a predetermined threshold.
Further, whether the scraper conveyor is in an abnormal operation state or not is judged, and if yes, alarm indication information used for indicating that the scraper conveyor is in the abnormal operation state is generated, and the method specifically comprises the following steps:
if the scraper conveyors in the current image frame are determined to be overloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are overloaded or not, and if the scraper conveyors in the plurality of image frames are determined to be overloaded, determining that the scraper conveyors are in an abnormal running state of long-time overload;
and generating alarm indication information for indicating that the scraper conveyor is in an overload abnormal operation state.
Further, determining that the scraper conveyor in the current image frame is overloaded comprises:
judging whether a preset position marking line exists in the current image frame by using a target detection algorithm;
if not, it is determined that the face conveyor in the current image frame is overloaded.
Further, after the scraper conveyor is determined to be in the abnormal operation state, a record log for recording the abnormal operation state of the scraper conveyor is generated, and the record log is stored in a data storage system in a server.
In a second aspect, a monitoring device for a scraper conveyor comprises:
the video data acquisition unit is used for acquiring the current image frame of the fully mechanized coal mining face;
the running state determining unit is used for judging whether the scraper conveyor is in a running state or not;
and the analysis alarm unit is used for judging whether the scraper conveyor is in an abnormal operation state or not after the operation state determining unit determines that the scraper conveyor is in the operation state, and if so, generating alarm indicating information for indicating that the scraper conveyor is in the abnormal operation state.
Further, the running state determining unit is further configured to obtain a first image frame after the current image frame;
and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
Further, the analysis alarm unit is further configured to determine whether the scraper conveyors in a plurality of image frames in a predetermined time period after the current image frame are unloaded if the scraper conveyors in the current image frame are determined to be unloaded, and determine that the scraper conveyors are in an abnormal operation state of long-time unloaded if the scraper conveyors in the plurality of image frames are all unloaded;
and generating alarm indication information for indicating that the scraper conveyor is in an idle abnormal operation state.
Further, the running state determining unit is also used for determining a coal area on the scraper conveyor and a mark frame thereof in the current image frame by using a target detection algorithm;
determining that the scraper conveyor in the current image frame is empty if the ratio of the height of the marking frame to the standard value of the height is less than a predetermined threshold.
Further, the analysis alarm unit is further used for judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are overloaded if the scraper conveyors in the current image frame are determined to be overloaded, and determining that the scraper conveyors are in an abnormal operation state of long-time overload if the scraper conveyors in the plurality of image frames are all overloaded;
and generating alarm indication information for indicating that the scraper conveyor is in an overload abnormal operation state.
Further, the running state determining unit is further configured to determine whether a preset position marking line exists in the current image frame by using a target detection algorithm;
if not, it is determined that the face conveyor in the current image frame is overloaded.
The system further comprises a day recording unit, wherein the day recording unit is used for generating a record log for recording the abnormal operation state of the scraper conveyor after determining that the scraper conveyor is in the abnormal operation state, and storing the record log into a data storage system in a server.
Correspondingly, the invention also provides an electronic device, comprising: a processor and a memory; wherein the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method as described in any above.
Correspondingly, the invention also provides a computer storage medium, wherein the computer storage medium contains one or more program instructions, and the one or more program instructions are used for a server to execute the monitoring and alarming method for the running state of the scraper conveyor of the fully mechanized mining face.
By adopting the monitoring and alarming method for the running state of the scraper conveyor of the fully mechanized mining face, the working state of the scraper conveyor can be accurately identified by analyzing the difference between image frames in the video data of the fully mechanized mining face, the effect of monitoring the running state of the scraper conveyor is improved, the complicated inspection process is avoided, and the use experience of a user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flowchart of a monitoring method for a scraper conveyor according to an embodiment of the present invention;
fig. 2 is a schematic view of a monitoring device of a scraper conveyor according to an embodiment of the present invention;
FIG. 3 is a schematic view of a monitoring alarm device of a scraper conveyor provided by an embodiment of the invention;
FIG. 4 is a complete flow chart of a scraper conveyor monitoring and alarming method according to an embodiment of the present invention;
fig. 5 is a top view of a video capture device according to an embodiment of the present invention;
fig. 6 is a front view of an installation of the video capture device according to the embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the rapid development of the artificial intelligence technology and the gradual maturity of the image recognition technology, the invention mainly relates to a monitoring and alarming method for the running state of the scraper conveyor of the fully mechanized mining face based on the image recognition technology, which is convenient for operators to effectively monitor the running state of the scraper conveyor, thereby avoiding the scraper conveyor from being in an abnormal working state for a long time.
The embodiment of the fully mechanized mining face scraper conveyor running state monitoring and alarming method based on the invention is described in detail below. As shown in fig. 1, which is a flowchart of a monitoring and alarming method for a scraper conveyor according to an embodiment of the present invention, the specific implementation process includes the following steps:
step S101: and acquiring a current image frame of the fully mechanized mining face.
For illustration, referring to the top view of the video capturing device shown in fig. 5 and the front view of the video capturing device shown in fig. 6, in an embodiment of the present invention, the video capturing device 503 may be disposed on the roof beam above the hydraulic support 504 at the end of the face scraper conveyor 506. The target detection area 502 of the video capture device 503 needs to be able to cover the entire head area of the scraper conveyor 506 and the area of the coal deflector 601 of the transfer conveyor 507 during the transportation of coal by the scraper conveyor 506. The fully-mechanized coal mining face is the first site for coal production in the underground coal mine, and two ends of the fully-mechanized coal mining face are respectively communicated with the transportation gate 501 and the return air gate. The video capture device 503 may refer to a camera, a video recorder, and other devices having image capture and video capture functions.
In the actual production process, the coal mining equipment of the fully mechanized face generally includes a shearer 505, a hydraulic support 504, a scraper conveyor 506, a transfer conveyor 507, and the like. The shearer 505 is a device for breaking and loading coal in a fully mechanized coal face underground, and is configured to strip coal from a coal seam 508 of the fully mechanized coal face and load the coal into the scraper conveyor 506, and the scraper conveyor 506 transports the coal to the transfer conveyor 507.
Step S102: judging whether the scraper conveyor in the current image frame is in a running state or not; if yes, executing step S103; if not, returning to the step S101;
wherein, step S102 specifically includes:
step S1021: a first image frame following the current image frame is obtained.
In practical implementation, the first image frame may be extracted after the current image frame by setting an interval of a preset number of image frames. Of course, a time threshold (e.g., 10 seconds, 15 seconds, etc.) may also be preset, which is not specifically limited herein, and it is sufficient that a certain time interval exists between the current image frame and the first image frame.
Step S1022: and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
The target detection model can adopt a pre-trained deep convolutional neural network model.
Step S103: judging whether the scraper conveyor is in an abnormal operation state, if so, executing a step S104; if not, returning to the step S102;
and step S104, generating alarm indication information for indicating that the scraper conveyor is in an abnormal operation state.
In an embodiment, whether the scraper conveyer 506 is in an abnormal operation state is determined, and if yes, alarm indication information for indicating that the scraper conveyer 506 is in an abnormal operation state is generated, which may be specifically implemented as follows:
for the no-load condition, firstly, judging whether the scraper conveyor in the current image frame is no-load, and adopting the following steps:
determining a coal area on the scraper conveyor and a marking frame thereof in the current image frame by using a target detection algorithm;
determining that the scraper conveyor in the current image frame is empty if the ratio of the height of the marking frame to the standard value of the height is less than a predetermined threshold.
If the scraper conveyors in the current image frame are determined to be unloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are unloaded, and if the scraper conveyors in the plurality of image frames are determined to be unloaded, determining that the scraper conveyors are in a long-time unloaded abnormal operation state; and generating alarm indication information for indicating that the scraper conveyor is in an idle abnormal operation state. Recording a first time point of a current image frame as t1, and recording a predetermined time threshold as TA; in a plurality of image frames within the TA period, if the scraper conveyor in each image frame is empty, an alarm is given at a time point t1+ TA.
For the overload condition, firstly, judging whether the scraper conveyor in the current image frame is overloaded, and adopting the following steps:
judging whether a preset position marking line exists in the current image frame by using a target detection algorithm;
if not, it is determined that the face conveyor in the current image frame is overloaded. And recording a time point t1 of the current image frame, wherein a position marking line can be preset on the upper side of the coal baffle 601 and is indicated by a white line, and if the white line in the image frame is not identified, the marking line is indicated to be blocked by coal and overloaded.
If the scraper conveyors in the current image frame are determined to be overloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period TB after the current image frame are overloaded or not, and if the scraper conveyors in the plurality of image frames are determined to be overloaded, determining that the scraper conveyors are in an abnormal running state of long-time overload; and alarming at a time point t1+ TB, and generating alarming indication information for indicating that the scraper conveyor is in an overload abnormal operation state.
In order to timely inform a maintenance manager of the abnormal operation state of the scraper conveyer, after the alarm indication signal is sent, the server side can send a target image frame corresponding to the alarm indication signal to a terminal of the manager through a preset communication device.
In addition, for convenience of viewing and management by maintenance managers, after the scraper conveyor 506 is determined to be in the abnormal operation state, the server side may further generate a log for recording the abnormal operation state of the scraper conveyor 506, and store the log into a data storage system in the server.
Furthermore, a statistical analysis table can be generated according to the log of the abnormal operation state, and the statistical analysis table is sent to a display end, so that the working condition of the scraper conveyor 506 within any period of time can be clearly displayed.
By adopting the monitoring and alarming method for the running state of the fully mechanized mining face scraper conveyer 506, the running state of the scraper conveyer 506 can be accurately identified by analyzing the difference between image frames in the video data of the target detection area 502, the efficiency of polling the running state of the scraper conveyer 506 is improved, the fussy polling process is avoided, and the use experience of a user is improved.
The application also provides another method for monitoring and alarming the running state of the plate conveyor, and the method is shown in a complete flow chart of a method for monitoring and alarming the scraper conveyor, which is shown in the attached figure 4 and comprises the following steps:
starting;
step S401, identifying coal blocks in a nose area in a picture;
step S402, judging whether the coal block area in the next frame of picture is the same as that in the previous frame; if yes, executing step S404, if no, executing step S403;
step S403, judging whether the coal marking frame is smaller than a% of a preset standard size; if yes, go to step S405; if not, go to step S412;
step S405, recording time t 1;
step S406, judging whether the coal marking frame in the next frame image is smaller than a% of a preset standard size; if not, executing step S411, if yes, executing step S407;
step S407, recording time t 2;
step S408, calculating tm as t2-t 1;
step S409, judging whether tm exceeds a predetermined threshold value T
Step S410, alarming;
step S411, clearing the t1 record;
step S412, judging whether a white line of a coal baffle plate exists; if yes, go to step S413; if not, go to step S414;
step S413, discarding the picture;
step S414, recording time t 3;
step S415, identifying whether there is a white line in the next frame; if yes, go to step S416; if not, go to step S417;
step S416, clearing the t3 record;
step S417, recording time t 4;
step S418, calculating tn-t 4-t 3;
step S419, judging whether tn exceeds a preset threshold value T; if so, step S410 is performed.
In accordance with the above method, the present application also provides a monitoring device for a scraper conveyor, referring to a schematic diagram of the monitoring device for a scraper conveyor shown in fig. 2, the monitoring device comprising:
the video data acquisition unit 201 is used for acquiring a current image frame of the fully mechanized coal mining face;
an operation state determination unit 202, configured to determine whether the scraper conveyor in the current image frame is in an operation state;
and the analysis alarm unit 203 is used for judging whether the scraper conveyor is in an abnormal operation state or not after the operation state determining unit 202 determines that the scraper conveyor is in the operation state, and generating alarm indication information for indicating that the scraper conveyor is in the abnormal operation state if the scraper conveyor is in the abnormal operation state.
Further, the operation state determination unit 202 is further configured to obtain a first image frame after the current image frame;
and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
Further, the analysis alarm unit is further configured to determine whether the scraper conveyors in a plurality of image frames in a predetermined time period after the current image frame are unloaded if the scraper conveyors in the current image frame are determined to be unloaded, and determine that the scraper conveyors are in an abnormal operation state of long-time unloaded if the scraper conveyors in the plurality of image frames are all unloaded;
and generating alarm indication information for indicating that the scraper conveyor is in an idle abnormal operation state.
Further, the running state determining unit is also used for determining a coal area on the scraper conveyor and a mark frame thereof in the current image frame by using a target detection algorithm;
determining that the scraper conveyor in the current image frame is empty if the ratio of the height of the marking frame to the standard value of the height is less than a predetermined threshold.
Further, the analysis alarm unit is further used for judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are overloaded if the scraper conveyors in the current image frame are determined to be overloaded, and determining that the scraper conveyors are in an abnormal operation state of long-time overload if the scraper conveyors in the plurality of image frames are all overloaded;
and generating alarm indication information for indicating that the scraper conveyor is in an overload abnormal operation state.
Further, the running state determining unit is further configured to determine whether a preset position marking line exists in the current image frame by using a target detection algorithm;
if not, it is determined that the face conveyor in the current image frame is overloaded.
The system further comprises a day recording unit, wherein the day recording unit is used for generating a record log for recording the abnormal operation state of the scraper conveyor after determining that the scraper conveyor is in the abnormal operation state, and storing the record log into a data storage system in a server.
Adopt above-mentioned scraper conveyor's monitoring devices, can combine the image frame of adopting the working face through the analysis, the unusual operating condition of accurate discernment scraper conveyor has improved monitoring scraper conveyor's effect, has avoided loaded down with trivial details process of patrolling and examining to user's use experience has been improved.
The application also provides a monitoring alarm device of a scraper conveyor, which is shown in the schematic diagram of the monitoring alarm device of the scraper conveyor shown in the attached figure 3, and the monitoring alarm device specifically comprises: a processor 301 and a memory 302; wherein the memory 302 is configured to store one or more program instructions; the processor 301 is configured to execute one or more program instructions to execute the method for monitoring and alarming the operation state of the scraper conveyor of the fully mechanized mining face.
Corresponding to the monitoring and alarming method for the running state of the fully mechanized mining face scraper conveyor, the invention also provides a computer storage medium. Since the embodiment of the computer storage medium is similar to the above method embodiment, the description is simple, and for the relevant points, reference may be made to the description of the above method embodiment, and the computer storage medium described below is only an exemplary one.
The computer storage medium contains one or more program instructions for execution by the server to perform the method for monitoring the operational status of the scraper conveyor of the fully mechanized mining face as described in any one of the above.
In an embodiment of the invention, the processor or processor module may be an integrated circuit chip having signal processing capabilities. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (ddr Data Rate SDRAM), Enhanced SDRAM (ESDRAM), synclink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method of monitoring a scraper conveyor, comprising:
acquiring a current image frame of the fully mechanized mining face;
judging whether the scraper conveyor in the current image frame is in a running state or not;
if so, judging whether the scraper conveyor is in an abnormal operation state or not, wherein the abnormal operation state comprises the no-load operation of the scraper conveyor or the overload operation of the scraper conveyor;
if so, generating alarm indication information for indicating that the scraper conveyor is in an abnormal operation state;
the judging whether the scraper conveyor in the current image frame is in a running state specifically comprises:
obtaining a first image frame after the current image frame;
and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
2. The method of claim 1, wherein determining whether the scraper conveyor is in an abnormal operating state comprises: if the scraper conveyors in the current image frame are determined to be unloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are unloaded, and if the scraper conveyors in the plurality of image frames are determined to be unloaded, determining that the scraper conveyors are in a long-time unloaded abnormal operation state;
and generating alarm indication information for indicating that the scraper conveyor is in an idle abnormal operation state.
3. The method of claim 2,
determining that the scraper conveyor in the current image frame is empty, comprising:
determining a coal area on the scraper conveyor and a marking frame thereof in the current image frame by using a target detection algorithm;
determining that the scraper conveyor in the current image frame is empty if the ratio of the height of the marking frame to the standard value of the height is less than a predetermined threshold.
4. The method of claim 1, wherein the step of judging whether the scraper conveyor is in an abnormal operation state or not, and if so, generating alarm indication information for indicating that the scraper conveyor is in the abnormal operation state specifically comprises the steps of:
if the scraper conveyors in the current image frame are determined to be overloaded, judging whether the scraper conveyors in a plurality of image frames in a preset time period after the current image frame are overloaded or not, and if the scraper conveyors in the plurality of image frames are determined to be overloaded, determining that the scraper conveyors are in an abnormal running state of long-time overload;
and generating alarm indication information for indicating that the scraper conveyor is in an overload abnormal operation state.
5. The method of claim 4, wherein determining that the scraper conveyor in the current image frame is overloaded comprises:
judging whether a preset position marking line exists in the current image frame by using a target detection algorithm;
if not, it is determined that the face conveyor in the current image frame is overloaded.
6. The method of claim 1, further comprising:
and after determining that the scraper conveyor is in an abnormal operation state, generating a record log for recording the abnormal operation state of the scraper conveyor, and storing the record log into a data storage system in a server.
7. A monitoring device for a scraper conveyor, comprising:
the video data acquisition unit is used for acquiring the current image frame of the fully mechanized coal mining face;
the running state determining unit is used for judging whether the scraper conveyor is in a running state or not;
the analysis alarm unit is used for judging whether the scraper conveyor is in an abnormal operation state or not after the operation state determining unit determines that the scraper conveyor is in the operation state, and if so, generating alarm indication information for indicating that the scraper conveyor is in the abnormal operation state, wherein the abnormal operation state comprises no-load operation of the scraper conveyor or overload operation of the scraper conveyor;
the running state determining unit is further configured to obtain a first image frame after the current image frame; and analyzing the current image frame and the first image frame respectively by using a preset target detection model, and if the coal block area on the scraper conveyor in the first image frame is determined to be different from the coal block area of the scraper conveyor in the current image frame, determining that the scraper conveyor is in a running state.
8. An electronic device, comprising:
a processor and a memory;
the memory to store one or more program instructions;
the processor, configured to execute one or more program instructions to perform the method of any of claims 1-6.
9. A computer storage medium comprising one or more program instructions embodied in the computer storage medium for execution by a server to perform the method for monitoring and alerting of an operational status of a face scraper conveyor according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910690593.1A CN110422588B (en) | 2019-07-29 | 2019-07-29 | Monitoring method, device, equipment and storage medium for scraper conveyor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910690593.1A CN110422588B (en) | 2019-07-29 | 2019-07-29 | Monitoring method, device, equipment and storage medium for scraper conveyor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110422588A CN110422588A (en) | 2019-11-08 |
| CN110422588B true CN110422588B (en) | 2021-06-18 |
Family
ID=68411156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910690593.1A Active CN110422588B (en) | 2019-07-29 | 2019-07-29 | Monitoring method, device, equipment and storage medium for scraper conveyor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110422588B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110825035A (en) * | 2019-11-28 | 2020-02-21 | 苏州威兹泰克软件科技有限公司 | Multi-axis device control method, computing device, and storage medium |
| CN112499163B (en) * | 2020-11-10 | 2022-08-12 | 国家能源集团乌海能源有限责任公司 | Scraper conveyor fault detection method, storage medium and intelligent scraper conveyor |
| CN112712035A (en) * | 2020-12-30 | 2021-04-27 | 精英数智科技股份有限公司 | Detection method, device and system for coal mining machine following moving frame |
| CN113942805B (en) * | 2021-12-22 | 2022-03-25 | 西安华创马科智能控制系统有限公司 | Coal block transportation monitoring method and device |
| CN115966064A (en) * | 2022-10-27 | 2023-04-14 | 国家能源集团煤焦化有限责任公司 | Chain breakage detection method, device and system for scraper conveyor and storage medium |
| CN117142009B (en) * | 2023-10-30 | 2024-03-15 | 西安重装蒲白煤矿机械有限公司 | Scraper conveyor health state assessment method based on graph rolling network |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248878A (en) * | 2013-05-23 | 2013-08-14 | 南车株洲电力机车有限公司 | Pattern recognition method, device and system of abnormal situation of fully mechanized coal mining face |
| CN205485461U (en) * | 2016-01-29 | 2016-08-17 | 中国矿业大学 | Combine working face equipment of adopting automatic control system in coordination |
| CN108639710A (en) * | 2018-05-18 | 2018-10-12 | 陕西陕煤黄陵矿业有限公司 | A kind of control system and method for belt operation |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58135018A (en) * | 1982-02-02 | 1983-08-11 | Daifuku Co Ltd | Overload detecting means of lift conveying device |
| CN102291575B (en) * | 2011-09-01 | 2013-07-17 | 天地科技股份有限公司 | Intelligent video monitoring system for integrative mining working surface |
-
2019
- 2019-07-29 CN CN201910690593.1A patent/CN110422588B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248878A (en) * | 2013-05-23 | 2013-08-14 | 南车株洲电力机车有限公司 | Pattern recognition method, device and system of abnormal situation of fully mechanized coal mining face |
| CN205485461U (en) * | 2016-01-29 | 2016-08-17 | 中国矿业大学 | Combine working face equipment of adopting automatic control system in coordination |
| CN108639710A (en) * | 2018-05-18 | 2018-10-12 | 陕西陕煤黄陵矿业有限公司 | A kind of control system and method for belt operation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110422588A (en) | 2019-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110422588B (en) | Monitoring method, device, equipment and storage medium for scraper conveyor | |
| CN109900366B (en) | Method and device for detecting abnormal temperature point of lightning arrester | |
| JP2021532459A (en) | Target cell labeling methods, devices, storage media and terminal devices | |
| CN112558577B (en) | Caving coal control method, device, electronic equipment and computer readable storage medium | |
| WO2020062702A1 (en) | Method and device for sending text messages, computer device and storage medium | |
| CN110223192B (en) | Material loss statistical method and device, electronic equipment and storage medium | |
| CN106452931B (en) | Monitor control index and thresholding discovery method, thresholding method of adjustment and automatic monitored control system | |
| CN110400448B (en) | Method and system for judging running state of coal mining machine and storage medium | |
| CN110344882B (en) | Method, system and storage medium for monitoring operation of scraper conveyor worker | |
| CN111126888A (en) | Warehouse management system with high automation degree | |
| CN114140684A (en) | Method, device and equipment for detecting coal blockage and coal leakage and storage medium | |
| CN111027519A (en) | Monitoring method and monitoring device for blast furnace tuyere | |
| CN110942455A (en) | Method and device for detecting missing of cotter pin of power transmission line and computer equipment | |
| CN110415485A (en) | Monitoring method, device, equipment and the storage medium of face guard | |
| US11200148B2 (en) | Method and system for identifying a source of a memory leak | |
| CN115758506A (en) | Safety supervision resource scheduling method based on 4D building model and multi-objective optimization | |
| CN111274951A (en) | Method and device for monitoring state of material box and automatic feeding system | |
| US20220401825A1 (en) | Alarm method and apparatus for tabletop game, electronic device and storage medium | |
| CN111797796A (en) | Construction method of parking specification detection model, parking specification detection method, system, terminal and medium | |
| CN115661729A (en) | Support determining method and support determining device for front canopy of coal mine heading machine | |
| CN112330583A (en) | Product defect detection method, device, equipment and storage medium | |
| CN110659590B (en) | Monitoring method, device, equipment and storage medium of scraper conveyor | |
| CN114973084A (en) | Abnormal coal briquette identification method and device | |
| CN113850227A (en) | Coal level information determining method, system and storage medium | |
| WO2020184462A1 (en) | System for manufacturing metal material and method of manufacturing metal material |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |