CN110980191A - Intelligent belt conveying detection system and method - Google Patents
Intelligent belt conveying detection system and method Download PDFInfo
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- CN110980191A CN110980191A CN201911262040.2A CN201911262040A CN110980191A CN 110980191 A CN110980191 A CN 110980191A CN 201911262040 A CN201911262040 A CN 201911262040A CN 110980191 A CN110980191 A CN 110980191A
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- 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
- B65G43/02—Control devices, e.g. for safety, warning or fault-correcting detecting dangerous physical condition of load carriers, e.g. for interrupting the drive in the event of overheating
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- 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
- B65G43/04—Control devices, e.g. for safety, warning or fault-correcting detecting slip between driving element and load-carrier, e.g. for interrupting the drive
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- 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
- B65G2203/02—Control or detection
- B65G2203/0266—Control or detection relating to the load carrier(s)
- B65G2203/0275—Damage on the load carrier
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- 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
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- 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
- B65G2207/00—Indexing codes relating to constructional details, configuration and additional features of a handling device, e.g. Conveyors
- B65G2207/40—Safety features of loads, equipment or persons
Abstract
The invention provides a belt transportation intelligent detection system and a method, wherein the system comprises: the plurality of monitors are used for monitoring and recording the belt in transportation in real time; a first switch for converting the digital electrical signal into an optical signal; a core switch for converting the optical signal into a digital electrical signal again; the video intelligent identification gateway is used for analyzing the converted digital electric signal to obtain analysis data containing belt transportation state information; the PLC is connected with the belt motor and is used for controlling the belt motor to work and adjusting parameters of the belt motor; the data acquisition gateway is used for acquiring real-time running data of the belt; the real-time database is used for storing and backing up the acquired real-time operation data; and the application server is used for comprehensively judging the analysis data and the real-time operation data, determining whether the transportation state of the belt is normal or not and uploading the judgment result to the dispatching terminal. The invention realizes the intellectualization and automation of belt transportation detection and improves the production efficiency.
Description
Technical Field
The invention relates to the technical field of belt intelligent control, in particular to an intelligent detection system and method for belt transportation.
Background
Belt conveyor systems are an important means of transporting materials in modern industrial processes. The environment of industrial belt is very abominable generally, and the environment is sealed, and light is darker, and the dust is very big, and in long-term production process, the off tracking appears in the belt easily, skids, tears scheduling problem, seriously influences production efficiency, causes the loss of manpower and materials.
The existing belt conveying system mainly adopts a manual inspection mode, and once a problem is found, the system immediately alarms and stops to overhaul. However, the manual inspection cannot monitor the transportation condition of the belt in real time, a detection blind area exists, the levels of workers are uneven, the judgment and operation of the workers are affected by work experience, deviation easily occurs, and the detection efficiency is not high.
Disclosure of Invention
The invention aims to provide an intelligent detection system and method for belt transportation, which mainly solve the problem of low belt transportation detection efficiency caused by the fact that the belt is easy to damage, blind areas exist in worker routing inspection, experience limitation exists, and the like, and the conditions of deviation, slippage, tearing and the like of the belt cannot be effectively detected.
In order to solve the above technical problem, an embodiment of the present invention provides an intelligent belt transportation detection system, including:
the system comprises a plurality of monitors, a first exchanger and a second exchanger, wherein the monitors are arranged in a belt transportation area and are used for monitoring and recording a video of a belt in transportation in real time, and converting an acquired image signal into a digital electric signal and transmitting the digital electric signal to the first exchanger;
the first switch is used for converting the digital electric signal into an optical signal and transmitting the optical signal to the core switch;
the core switch is used for converting the optical signal into a digital electric signal again and transmitting the digital electric signal to the video intelligent identification gateway;
the video intelligent identification gateway is used for analyzing the converted digital electric signal to obtain analysis data containing belt transportation state information and transmitting the analysis data to the application server;
the PLC is connected with the belt motor and is used for controlling the belt motor to work and adjusting parameters of the belt motor;
the data acquisition gateway is used for acquiring real-time running data of a belt in the PLC and transmitting the real-time running data to the real-time database;
the real-time database is used for storing and backing up the acquired real-time operation data and transmitting the data to the application server;
and the application server is used for comprehensively judging the analysis data transmitted by the video intelligent identification gateway and the real-time operation data transmitted by the real-time database, determining whether the transportation state of the belt is normal or not and uploading the judgment result to the dispatching terminal.
Preferably, the intelligent video identification gateway includes:
the data comparison module is used for comparing the converted digital electric signal with a pre-stored standard signal and judging whether the converted digital electric signal exceeds a normal threshold range;
and the fault confirmation module is used for carrying out deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormity and transmitting corresponding analysis data to the application server.
Preferably, the data acquisition gateway transmits the acquired real-time running data of the belt to the real-time database sequentially through the second switch and the core switch;
the second switch is used for converting the collected digital electric signals into optical signals, and the core switch is used for converting the optical signals into the digital electric signals again.
Preferably, the scheduling terminal includes:
the data display screen is used for displaying real-time running data of the belt;
the image display screen is used for displaying the real-time monitoring video of the belt;
and the execution module is used for sending an instruction to the PLC when the belt transportation state is detected to be abnormal, and changing the running state of the belt or stopping the belt.
Preferably, the dispatch terminal still includes alarm module, alarm module is used for reporting to the police to the staff when detecting out belt transport state anomaly, alarm module can realize audible-visual alarm or remove APP and report to the police.
Preferably, the number of the monitors is not less than 20, the first switch is arranged in a power distribution room of a production field, and the core switch is arranged in a dispatching room where the dispatching terminal is located.
The embodiment of the invention also provides an intelligent belt transportation detection method, which comprises the following steps:
the multiple monitors are used for monitoring and recording the video of the belt in transport in real time, and converting the acquired image signals into digital electric signals and transmitting the digital electric signals to the first switch;
the first switch converts the digital electric signal into an optical signal and transmits the optical signal to a core switch;
the core switch converts the optical signal into a digital electric signal again and transmits the digital electric signal to the video intelligent identification gateway;
the video intelligent identification gateway analyzes the converted digital electric signal to obtain analysis data containing belt transportation state information and transmits the analysis data to an application server;
the PLC connected with the belt motor controls the belt motor to work and adjusts the parameters of the belt motor;
the data acquisition gateway acquires real-time running data of a belt in the PLC and transmits the real-time running data to a real-time database;
the real-time database stores and backups the acquired real-time operation data and transmits the data to the application server;
and the application server comprehensively judges the analysis data transmitted by the video intelligent identification gateway and the real-time operation data transmitted by the real-time database, determines whether the transportation state of the belt is normal or not, and uploads the judgment result to the scheduling terminal.
Preferably, the step of analyzing the converted digital electric signal by the video intelligent identification gateway to obtain analysis data containing belt transportation state information and transmitting the analysis data to the application server specifically includes:
the video intelligent identification gateway compares the converted digital electric signal with a pre-stored standard signal and judges whether the converted digital electric signal exceeds a normal threshold range;
and carrying out deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormity, and transmitting corresponding analysis data to the application server.
Preferably, the intelligent belt transport detection method further comprises the following steps:
the scheduling terminal displays real-time running data and real-time monitoring video of the belt;
when the belt transportation state is detected to be abnormal, the dispatching terminal sends an instruction to the PLC to change the running state of the belt or stop the belt.
Preferably, the intelligent belt transport detection method further comprises the following steps:
and when the belt transportation state is detected to be abnormal, the dispatching terminal gives an alarm to the staff.
The technical scheme of the invention has the following beneficial effects:
the belt transport monitoring system can intelligently inspect the belt transport condition in real time, realize automatic monitoring without blind areas by arranging a plurality of monitors, analyze and store the detection data in real time, and once the abnormal conditions of deviation, slippage, tearing and the like of the belt are found, the scheduling terminal can timely adjust and deal with the abnormal conditions and give an alarm to related workers, thereby realizing the intellectualization and automation of the belt transport detection and improving the production efficiency.
Drawings
FIG. 1 is a schematic structural diagram of a belt transportation intelligent detection system provided by an embodiment of the invention;
fig. 2 is a flowchart of an intelligent detection method for belt transportation according to an embodiment of the present invention.
In the figure: 101-monitor, 102-first switch, 103-core switch, 104-video intelligent identification gateway, 105-application server, 106-PLC, 107-data acquisition gateway, 108-real-time database, 109-second switch, 110-scheduling terminal.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
An embodiment of the present invention first provides an intelligent belt transportation detection system, as shown in fig. 1, the system includes:
a plurality of monitors 101 installed in a belt transport area for real-time monitoring and video recording of a belt in transport, and converting an acquired image signal into a digital electric signal and transmitting the digital electric signal to a first switch 102;
a first switch 102 for converting the digital electrical signal into an optical signal and transmitting the optical signal to a core switch 103;
the core switch 103 is used for converting the optical signal into a digital electrical signal again and transmitting the digital electrical signal to the video intelligent identification gateway 104;
the video intelligent identification gateway 104 is used for analyzing the converted digital electric signal to obtain analysis data containing belt transportation state information and transmitting the analysis data to the application server 105;
the PLC106 is connected with the belt motor and is used for controlling the belt motor to work and adjusting parameters of the belt motor;
the data acquisition gateway 107 is used for acquiring real-time running data of a belt in the PLC and transmitting the real-time running data to the real-time database 108;
a real-time database 108 for storing and backing up the collected real-time operation data and transmitting the data to the application server 105;
and the application server 105 is configured to perform comprehensive judgment on the analysis data transmitted by the intelligent video identification gateway 104 and the real-time operation data transmitted by the real-time database 108, determine whether the transportation state of the belt is normal, and upload a judgment result to the scheduling terminal 110.
The invention can carry out real-time intelligent inspection on the belt transportation condition, realize automatic monitoring without blind areas by arranging a plurality of monitors, analyze and store the detection data in real time, adjust and respond in time by the dispatching terminal once the abnormal condition of the belt is found, realize the intellectualization and automation of the belt transportation detection and improve the production efficiency.
As a preferred embodiment of the present invention, the number of the monitors 101 is not less than 20, and installed around the belt transporting area to cover all the important detecting points.
Further, the intelligent video identification gateway 104 includes:
the data comparison module is used for comparing the converted digital electric signal with a pre-stored standard signal and judging whether the converted digital electric signal exceeds a normal threshold range;
and the fault confirmation module is used for performing deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormality and transmitting corresponding analysis data to the application server 105.
The belt tearing is taken as an example, belt image signals of normal transportation are preset as standard signals, when a tearing condition occurs at a certain position of a belt, collected image signals exceed a standard threshold range, are preliminarily judged as abnormal signals, and for the abnormal signals, the abnormal range and the abnormal strength of the abnormal signals are further detected, so that the torn position and the severity of the belt are accurately identified, corresponding information is summarized as analysis data and transmitted to an application server for subsequent processing.
Further, the data acquisition gateway 107 transmits the acquired real-time running data of the belt to the real-time database 108 through the second switch 109 and the core switch 103 in sequence;
the second switch 109 is used to convert the collected digital electrical signals into optical signals, and the core switch 103 is used to convert the optical signals into digital electrical signals again.
Preferably, in the present invention, the first switch 102 and the second switch 109 are disposed in a distribution room in a production site, and the core switch 103 is disposed in a dispatching room in which the dispatching terminal 110 is located. The first switch 102, the second switch 109 and the core switch 103 work together to ensure real-time accurate transmission of the monitoring data.
Further, the scheduling terminal 110 includes:
the data display screen is used for displaying real-time running data of the belt;
the image display screen is used for displaying the real-time monitoring video of the belt;
and the execution module is used for sending an instruction to the PLC106 when the belt transportation state is detected to be abnormal, and changing the running state of the belt or stopping the belt.
Further, the dispatching terminal 110 further comprises an alarm module for alarming to the staff when the belt transportation state is detected to be abnormal, and the alarm module can realize sound-light alarm or mobile APP alarm.
Correspondingly, the embodiment of the invention also provides an intelligent belt transportation detection method, as shown in fig. 2, the method comprises the following steps:
the multiple monitors are used for monitoring and recording the video of the belt in transport in real time, and converting the acquired image signals into digital electric signals and transmitting the digital electric signals to the first switch;
the first switch converts the digital electric signal into an optical signal and transmits the optical signal to a core switch;
the core switch converts the optical signal into a digital electric signal again and transmits the digital electric signal to the video intelligent identification gateway;
the video intelligent identification gateway analyzes the converted digital electric signal to obtain analysis data containing belt transportation state information and transmits the analysis data to an application server;
the PLC connected with the belt motor controls the belt motor to work and adjusts the parameters of the belt motor;
the data acquisition gateway acquires real-time running data of a belt in the PLC and transmits the real-time running data to a real-time database;
the real-time database stores and backups the acquired real-time operation data and transmits the data to the application server;
and the application server comprehensively judges the analysis data transmitted by the video intelligent identification gateway and the real-time operation data transmitted by the real-time database, determines whether the transportation state of the belt is normal or not, and uploads the judgment result to the scheduling terminal.
Further, the step of analyzing the converted digital electric signal by the video intelligent identification gateway to obtain analysis data containing belt transportation state information and transmitting the analysis data to the application server specifically comprises:
the video intelligent identification gateway compares the converted digital electric signal with a pre-stored standard signal and judges whether the converted digital electric signal exceeds a normal threshold range;
and carrying out deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormity, and transmitting corresponding analysis data to the application server.
Further, the intelligent belt transport detection method further comprises the following steps:
the scheduling terminal displays real-time running data and real-time monitoring video of the belt;
when the belt transportation state is detected to be abnormal, the dispatching terminal sends an instruction to the PLC to change the running state of the belt or stop the belt.
Further, the intelligent belt transport detection method further comprises the following steps:
and when the belt transportation state is detected to be abnormal, the dispatching terminal gives an alarm to the staff.
The alarm mode in the method of the embodiment includes, but is not limited to, an audible and visual alarm or a mobile APP alarm.
In conclusion, the method can carry out real-time intelligent inspection on the belt transportation condition, realize automatic monitoring without blind areas, analyze and store the detection data in real time, once the abnormal conditions of deviation, slippage, tearing and the like of the belt are found, the scheduling terminal can timely adjust and deal with the abnormal conditions and give an alarm to related workers, thereby realizing the intellectualization and automation of the belt transportation detection and improving the production efficiency.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A belt transport intelligent detection system, characterized by, includes:
the system comprises a plurality of monitors, a first exchanger and a second exchanger, wherein the monitors are arranged in a belt transportation area and are used for monitoring and recording a video of a belt in transportation in real time, and converting an acquired image signal into a digital electric signal and transmitting the digital electric signal to the first exchanger;
the first switch is used for converting the digital electric signal into an optical signal and transmitting the optical signal to the core switch;
the core switch is used for converting the optical signal into a digital electric signal again and transmitting the digital electric signal to the video intelligent identification gateway;
the video intelligent identification gateway is used for analyzing the converted digital electric signal to obtain analysis data containing belt transportation state information and transmitting the analysis data to the application server;
the PLC is connected with the belt motor and is used for controlling the belt motor to work and adjusting parameters of the belt motor;
the data acquisition gateway is used for acquiring real-time running data of a belt in the PLC and transmitting the real-time running data to the real-time database;
the real-time database is used for storing and backing up the acquired real-time operation data and transmitting the data to the application server;
and the application server is used for comprehensively judging the analysis data transmitted by the video intelligent identification gateway and the real-time operation data transmitted by the real-time database, determining whether the transportation state of the belt is normal or not and uploading the judgment result to the dispatching terminal.
2. The belt transport intelligent detection system of claim 1, wherein the intelligent video identification gateway comprises:
the data comparison module is used for comparing the converted digital electric signal with a pre-stored standard signal and judging whether the converted digital electric signal exceeds a normal threshold range;
and the fault confirmation module is used for carrying out deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormity and transmitting corresponding analysis data to the application server.
3. The intelligent belt transport detection system according to claim 1, wherein the data acquisition gateway transmits acquired real-time running data of the belt to the real-time database sequentially through the second switch and the core switch;
the second switch is used for converting the collected digital electric signals into optical signals, and the core switch is used for converting the optical signals into the digital electric signals again.
4. The intelligent belt transport detection system of claim 1, wherein the dispatch terminal comprises:
the data display screen is used for displaying real-time running data of the belt;
the image display screen is used for displaying the real-time monitoring video of the belt;
and the execution module is used for sending an instruction to the PLC when the belt transportation state is detected to be abnormal, and changing the running state of the belt or stopping the belt.
5. The intelligent belt transport detection system as claimed in claim 4, wherein the scheduling terminal further comprises an alarm module, the alarm module is used for alarming to a worker when the belt transport state is detected to be abnormal, and the alarm module can realize audible and visual alarm or mobile APP alarm.
6. The intelligent belt transport detection system according to any one of claims 1 to 5, wherein the number of the monitors is not less than 20, the first switch is disposed in a distribution room of a production site, and the core switch is disposed in a dispatching room where a dispatching terminal is located.
7. The belt transportation intelligent detection method is characterized by comprising the following steps:
the multiple monitors are used for monitoring and recording the video of the belt in transport in real time, and converting the acquired image signals into digital electric signals and transmitting the digital electric signals to the first switch;
the first switch converts the digital electric signal into an optical signal and transmits the optical signal to a core switch;
the core switch converts the optical signal into a digital electric signal again and transmits the digital electric signal to the video intelligent identification gateway;
the video intelligent identification gateway analyzes the converted digital electric signal to obtain analysis data containing belt transportation state information and transmits the analysis data to an application server;
the PLC connected with the belt motor controls the belt motor to work and adjusts the parameters of the belt motor;
the data acquisition gateway acquires real-time running data of a belt in the PLC and transmits the real-time running data to a real-time database;
the real-time database stores and backups the acquired real-time operation data and transmits the data to the application server;
and the application server comprehensively judges the analysis data transmitted by the video intelligent identification gateway and the real-time operation data transmitted by the real-time database, determines whether the transportation state of the belt is normal or not, and uploads the judgment result to the scheduling terminal.
8. The intelligent belt transport detection method according to claim 7, wherein the step of analyzing the converted digital electrical signal by the intelligent video identification gateway to obtain analysis data including belt transport status information and transmitting the analysis data to the application server specifically comprises:
the video intelligent identification gateway compares the converted digital electric signal with a pre-stored standard signal and judges whether the converted digital electric signal exceeds a normal threshold range;
and carrying out deep learning processing on the signal which is judged to be beyond the normal threshold range, confirming the type of the abnormity, and transmitting corresponding analysis data to the application server.
9. The intelligent belt transport detection method of claim 7, further comprising the steps of:
the scheduling terminal displays real-time running data and real-time monitoring video of the belt;
when the belt transportation state is detected to be abnormal, the dispatching terminal sends an instruction to the PLC to change the running state of the belt or stop the belt.
10. The intelligent belt transport detection method of claim 9, further comprising the steps of:
and when the belt transportation state is detected to be abnormal, the dispatching terminal gives an alarm to the staff.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911262040.2A CN110980191A (en) | 2019-12-10 | 2019-12-10 | Intelligent belt conveying detection system and method |
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| CN201911262040.2A CN110980191A (en) | 2019-12-10 | 2019-12-10 | Intelligent belt conveying detection system and method |
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| CN110980191A true CN110980191A (en) | 2020-04-10 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114013923A (en) * | 2021-11-10 | 2022-02-08 | 中国联合网络通信集团有限公司 | Belt deviation rectifying method, device and system and computer readable storage medium |
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