A garbage pneumatic pipeline dredging system and a dredging method
By using a vibration sensing system and deep learning algorithms to monitor the blockage of the waste pneumatic pipeline in real time, and utilizing an intelligent control system to automatically unclog the waste pneumatic pipeline, the problem of easy blockage of the waste pneumatic pipeline is solved, and the automation level and work efficiency of the system are improved.
Patent Information
- Application Number
- CN202410332489.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-22
- Publication Date
- 2026-02-27
- Estimated Expiration
- 2044-03-22
AI Technical Summary
Waste pneumatic pipelines are prone to blockage, and the lack of automated detection and unblocking methods can lead to system failure and increase operating and maintenance costs.
The system uses a vibration sensing system and deep learning algorithms to monitor the movement of waste in real time. Vibration signals are acquired through fiber optic sensors and lasers, and the system is combined with an intelligent control system to automatically clear blockages. Electric telescopic rods and movable baffles are used to unclog pipes.
The automated blockage detection and unblocking of the waste pneumatic system has been achieved, improving the system's reliability and efficiency while reducing manual intervention and maintenance costs.
Smart Images

Figure CN118270537B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the field of garbage pneumatic pipeline, in particular to a garbage pneumatic pipeline dredging system and a dredging method. BACKGROUND
[0002] At present, the garbage pneumatic pipeline transportation is faced with difficulties and problems, including: first, in the garbage pneumatic transportation system, pipeline blockage occurs frequently. In each garbage extraction process, there will be residual garbage in the pipeline that has not been extracted to the central collection station, especially at the turning part of the pipeline, garbage often accumulates in the pipeline, or the amount of garbage extracted at one time is too large, which will cause pipeline blockage. And when extracting garbage, it is inevitable to receive some garbage with large particles, such as construction waste, which not only damages the pipeline, but also blocks the space inside the pipeline during pneumatic transportation, and in serious cases, it will cause the system to malfunction. Second, since no anti-blocking detection system is added to the pneumatic pipeline, in general, it is necessary to rely on the experience of manual to distinguish whether the pipeline is blocked. Third, the pipeline maintenance automation degree is low, when a large amount of garbage accumulates in the pipeline, workers often use the method of increasing the power of the fan or using the main valve to block the air to dredge the pipeline, if not handled in time, it will cause pipeline blockage, and then cause pipeline shutdown and maintenance, increase the operation cost and maintenance cost. SUMMARY
[0003] Therefore, the present application aims to provide a garbage pneumatic pipeline dredging system and a dredging method to monitor the garbage movement state in real time, predict the blockage point and blockage degree through vibration feature extraction and data analysis, and realize the effect of automatic dredging after the garbage pneumatic system is blocked.
[0004] To achieve the above purpose, the technical scheme of the present application is as follows:
[0005] A garbage pneumatic pipeline dredging system, comprising a host computer, a PLC controller, a vibration sensor system and a dredging and maintenance component, the host computer being connected with the PLC controller; the vibration sensor system comprises a data acquisition card, a photoelectric converter, an optical fiber sensor and a laser, the host computer being connected with the data acquisition card through a wireless network, the data acquisition card being connected with the optical fiber sensor through the photoelectric converter and the laser, the optical fiber sensor comprising a plurality of optical fiber sensors, the plurality of optical fiber sensors being arranged on the outer wall of the garbage pneumatic pipeline at intervals, and the laser being used to generate a laser beam.
[0006] The dredging and maintenance component comprises a maintenance opening, a movable baffle, an electric telescopic rod and a controller, the maintenance opening is arranged on the sidewall of the garbage pneumatic pipeline, the movable baffle covers the maintenance opening, the movable baffle is connected with the electric telescopic rod, the electric telescopic rod is used for driving the movable baffle to move reciprocally along the radial direction of the garbage pneumatic pipeline, the electric telescopic rod is connected with the controller, and the controller is connected with the PLC controller through a wireless network.
[0007] Further, the vibration sensing system further comprises a protective sleeve, the protective sleeve is arranged along the outer wall of the garbage pneumatic pipeline, and the optical fiber sensor is arranged in the protective sleeve.
[0008] Further, the dredging and maintenance component further comprises a shell, and the electric telescopic rod and the movable baffle are arranged in the shell.
[0009] Further, an air inlet grid is arranged on the sidewall of the shell, and the air inlet grid comprises air inlets arranged at intervals.
[0010] Further, the movable baffle is composed of an arc-shaped plate concave inward.
[0011] Further, butt joints are arranged at both ends of the movable baffle, the butt joints are in an L shape as a whole, and the maintenance opening is arranged in cooperation with the butt joints.
[0012] The application further provides a garbage pneumatic pipeline dredging method based on the garbage pneumatic pipeline dredging system, and the method comprises the following steps:
[0013] Step 1: acquiring vibration signals on the garbage pneumatic pipeline in real time through the optical fiber sensor;
[0014] Step 2: the host computer receives the vibration signals and analyzes the garbage accumulation in the garbage pneumatic pipeline according to the vibration signals by using a deep learning algorithm;
[0015] Step 3: the host computer judges according to a mapping threshold value, sends a control instruction to the controller through a wireless network, and alarms and prompts the fault point on a user interface; the mapping threshold value is a pre-set garbage accumulation amount;
[0016] Step 4: after receiving the control instruction, the controller starts the electric telescopic rod to open the corresponding movable baffle; when the gas flow reaches a predetermined value, the baffle is closed, and the pipeline is dredged by using instantaneous pressure.
[0017] Further, the following steps are further included:
[0018] Step 5: the laser generates a laser beam, the photoelectric transducer converts the optical signal into an electrical signal, then the data acquisition card converts the electrical signal into a digital signal, and the digital signal is transmitted to the host computer in a wireless transmission mode;
[0019] Step 6, the host computer substitutes the digital signal into the deep learning model for analysis, and the position of the garbage blockage is located by the difference between the backscattering signals of the adjacent two periods, and the blockage point position is obtained;
[0020] Step 7, the host computer sends a control instruction to the controller through a wireless network to open the nearest movable baffle from the blockage point position.
[0021] Further, the following steps are further included:
[0022] Step 8, after the movable baffle is closed for 2-4 seconds, the garbage state is continuously detected by the optical fiber sensor, and if a large amount of garbage is detected, the host computer opens the movable baffle again to change the gas flow rate in the pipeline and use the instantaneous pressure to dredge the pipeline again.
[0023] Compared with the prior art, the garbage pneumatic pipeline dredging system and method has the following advantages:
[0024] The garbage pneumatic pipeline dredging system uses optical fiber vibration measurement technology to analyze and identify the pipeline vibration signal, monitors the garbage movement state in real time, predicts the blockage point and the blockage degree through vibration feature extraction and data analysis, adjusts the wind power distribution strategy of the pipeline network relying on the intelligent control algorithm integrated by the control system, and realizes the effect of automatic dredging after the garbage pneumatic system is blocked. BRIEF DESCRIPTION OF DRAWINGS
[0025] The drawings that form a part of this application provide further understanding of the present application, and the illustrative embodiments of the present application and their description serve to explain the present application without constituting an improper limitation thereof. In the drawings:
[0026] Figure 1 The garbage pneumatic pipeline dredging system is a garbage pneumatic pipeline dredging system.
[0027] Figure 2 The vibration sensing system and the dredging and repairing component structure schematic diagram are shown.
[0028] Figure 3 The structure schematic diagram of the dredging and repairing component is shown.
[0029] Explanation of reference signs:
[0030] 1-host computer; 2-data acquisition card; 3-optical-electricity converter; 4-PLC controller; 5-outer shell; 6-electric telescopic rod; 7-controller; 8-movable baffle; 9-garbage pneumatic pipeline; 10-optical fiber sensor; 11-laser; 12-repairing opening; 13-air inlet grid; 15-protection sleeve; 16-butting groove. DETAILED DESCRIPTION
[0031] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.
[0032] The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
[0033] As Figures 1 to 3 shown, a garbage pneumatic pipeline dredging system includes a host computer 1, a PLC controller 4, a vibration sensor system, and a dredging and maintenance component, the host computer 1 is connected with the PLC controller 4; the vibration sensor system includes a data acquisition card 2, a photoelectric converter 3, an optical fiber sensor 10, and a laser 11, the host computer 1 is connected with the data acquisition card 2 through a wireless network, the data acquisition card 2 is connected with the laser 11 through the photoelectric converter 3 and the optical fiber sensor 10, the optical fiber sensor 10 includes a plurality of optical fiber sensors 11, the plurality of optical fiber sensors 11 are arranged on the outer wall of the garbage pneumatic pipeline 9 at intervals, and the laser 11 is used to generate a laser beam.
[0034] The dredging and maintenance component includes a maintenance opening 12, a movable baffle 8, an electric telescopic rod 6, and a controller 7, the maintenance opening 12 is arranged on the side wall of the garbage pneumatic pipeline 9, the movable baffle 8 covers the maintenance opening 12, the movable baffle 8 is connected with the electric telescopic rod 6, the electric telescopic rod 6 is used to drive the movable baffle 8 to move reciprocally along the radial direction of the garbage pneumatic pipeline 9, the electric telescopic rod 6 is connected with the controller 7, and the controller 7 is connected with the PLC controller through a wireless network.
[0035] The garbage pneumatic pipeline dredging system of the present application comprises a plurality of optical fiber sensors 10 arranged on the pipeline to form a distributed optical fiber vibration sensor, the vibration signals of the pipeline are acquired, the collected vibration signal data are subjected to feature extraction, the collected feature parameters are compared and analyzed with the feature parameters under normal conditions, and the garbage blockage position and the blockage degree are determined through comparison. The host computer 1 is provided with a central control system, the central control system coordinates various modules, the vibration data collected by the data acquisition card are transmitted to the central control system in a wireless manner, the data are processed and analyzed on the central control system, and the analysis results are fed back to the user in real time through an interface in an automatic mode, when garbage accumulation occurs in the pneumatic pipeline, the system automatically dredges the pipeline through intelligent control strategy without manual operation.
[0036] The electric telescopic rod 6 is driven by the controller 7, the controller 7 is wirelessly connected with the host computer 1, when a large amount of garbage accumulation is detected at a certain position of the pipeline, the host computer 1 predicts the fault point and the blockage condition, optimizes and adjusts the control strategy, and drives the controller 7 to open the movable baffle 8 closest to the blockage point through a wireless network, and when the gas flow rate reaches a set threshold value, the maintenance opening baffle is closed, and the load carrying capacity of the blockage point is greatly improved.
[0037] As Figure 2 shown, the vibration sensing system further comprises a protective sleeve 15 arranged along the outer wall of the garbage pneumatic pipeline 9, and the optical fiber sensor 10 is arranged in the protective sleeve 15. The optical fiber sensor 10 is arranged in the protective sleeve, the protective sleeve is fixed by bonding and binding, the protective sleeve is made of heat insulation material, which can prevent external temperature from interfering with the optical fiber sensor and prevent the optical fiber sensor from being corroded, and the accuracy of the data is ensured.
[0038] As Figure 3 shown, the dredging and maintenance component further comprises a shell 14, and the electric telescopic rod 6 and the movable baffle 8 are arranged in the shell 14. The side wall of the shell 14 is provided with an air inlet grid 13, and the air inlet grid 13 comprises air inlets arranged at intervals. The air inlet grid is opened on the shell, which can ensure the air inlet flow while preventing some sundries from being sucked into the maintenance opening.
[0039] As Figure 3 shown, the movable baffle 8 is composed of an arc-shaped plate concave inward. The movable baffle 8 is provided with a butt joint groove 16 at both ends, the butt joint groove 16 is in an L shape as a whole, and the maintenance opening 12 is arranged in cooperation with the butt joint groove 16. Further preferably, the dredging and maintenance component is arranged in the turning area of the pipeline or the area prone to blockage.
[0040] The application also provides a garbage pneumatic pipeline dredging method based on the above garbage pneumatic pipeline dredging system, comprising the following steps:
[0041] Step 1: Real-time acquisition of vibration signals on the garbage pneumatic pipeline by the optical fiber sensor 10;
[0042] Step 2: The host computer 1 receives the vibration signals and analyzes the accumulation of garbage in the garbage pneumatic pipeline according to the vibration signals by using a deep learning algorithm;
[0043] Step 3: The host computer 1 judges according to the mapping threshold value and sends a control instruction to the controller 7 through a wireless network, and simultaneously alarms and prompts the fault point on the user interface; the mapping threshold value is a pre-set garbage accumulation amount;
[0044] Step 4: After receiving the control instruction, the controller 7 starts the electric telescopic rod and opens the corresponding movable baffle 8; when the gas flow reaches a predetermined value, the baffle is closed, and the pipeline is dredged by using the instantaneous pressure.
[0045] Specifically, when the controller 7 arranged on the site receives the instruction, the electric telescopic rod 6 is controlled to open the movable baffle 8 on the corresponding maintenance opening. When the gas flow in the garbage pneumatic pipeline 9 reaches a predetermined value, the movable baffle 8 is closed, and the pipeline is dredged by using the instantaneous pressure.
[0046] It needs to be further explained that: the existing garbage pneumatic conveying system can generally collect the dynamic pressure in the garbage pneumatic pipeline 9. If the dynamic pressure decreases significantly, it indicates that there is a blocked place in the pipeline. Open the access door baffle in front of the blocked point, and the airflow in the pipeline will flow, and the dynamic pressure will rise. When it rises to the set value, the baffle can be closed. The instantaneous pressure generated by closing the baffle is used to achieve the purpose of dredging the pipeline.
[0047] Further comprising the following steps:
[0048] Step 5, the laser 11 generates a laser beam, the photoelectric converter 3 converts the optical signal into an electrical signal, and then the data acquisition card 2 converts the electrical signal into a digital signal, and the digital signal is transmitted to the host computer 1 by wireless transmission. Specifically, one end of the optical fiber sensor 10 is provided with a laser 11, which is used to generate a laser beam as a light source of the sensor. The other end of the optical fiber sensor 10 is provided with a photoelectric converter and a data acquisition card. The photoelectric converter is used to convert the optical signal into an electrical signal, and then the data acquisition card converts the electrical signal into a digital signal, and the data is transmitted to the host computer by wireless transmission.
[0049] Step 6, the host computer 1 substitutes the digital signal into the deep learning model for analysis, and locates the garbage blockage position by the difference between the backscattering signals of the adjacent two periods, and obtains the blockage position; Specifically, the central control system installed in the host computer 1 substitutes the data into the deep learning model for analysis, and realizes accurate positioning of the garbage blockage position by analyzing the difference between the backscattering signals of the adjacent two periods.
[0050] Step 7, the host computer 1 sends a control instruction to the controller 7 through a wireless network to open the nearest movable baffle 8 from the blockage position. Specifically, after accurate positioning, the central control system sends a control instruction to the on-site controller through a wireless network to open the movable baffle 8 on the access door closest to the blockage point.
[0051] Further comprising the following steps:
[0052] Step 8, after the movable baffle 8 is closed for 2-4 seconds, the optical fiber sensor continues to detect the garbage state. If it is detected that there is still a large amount of garbage accumulation, the host computer 1 opens the movable baffle 8 again to change the gas flow rate in the pipeline, and uses the instantaneous pressure to dredge the pipeline again to realize higher blockage point carrying capacity.
[0053] The application also provides a garbage pneumatic pipeline dredging method, which helps the operator to judge whether there is a large amount of garbage accumulation in the pipeline and automatically dredges after locating the blockage point; realizes timely discovery and early warning of the blockage in the pipeline, so that the staff does not need to blindly find the blockage position when the pipeline is blocked, and the blockage point can be accurately found through the positioning technology of the sensor, greatly improving the safety and reliability of the garbage pipeline; realizes the automatic dredging function, and when the system is conveying garbage, if a large amount of garbage accumulation occurs, the staff does not need to operate, and the system will timely dredge, greatly improving the work efficiency.
[0054] The above merely describes the preferred embodiments of the application and is not intended to limit the application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.
Claims
1. A waste pneumatic pipeline unblocking system, characterized by: The utility model relates to a garbage pneumatic pipeline dredging method, including host computer (1), PLC controller (4), vibration sensing system and dredging maintenance parts, host computer (1) connects PLC controller (4), vibration sensing system includes data acquisition card (2), photoelectric converter (3), optical fiber sensor (10) and laser (11), host computer (1) is connected data acquisition card (2) through wireless network, data acquisition card (2) is through photoelectric converter (3) is through optical fiber sensor (10) connects laser (11), optical fiber sensor (10) includes multiple, multiple optical fiber sensor (10) interval setting is in garbage pneumatic pipeline (9) outer wall, laser (11) is used to produce laser beam, Dredging maintenance parts include maintenance opening (12), movable baffle (8), electric telescopic rod (6) and controller (7), maintenance opening (12) is set up in garbage pneumatic pipeline (9) side wall, maintenance opening (12) covers movable baffle (8), movable baffle (8) is connected electric telescopic rod (6), and electric telescopic rod (6) is used to drive movable baffle (8) and moves along garbage pneumatic pipeline (9) radial reciprocating, utilizes the pressure of instantaneous dredging pipeline, and electric telescopic rod (6) is connected controller (7), and controller (7) is connected PLC controller through wireless network.
2. The waste pneumatic pipe unblocking system according to claim 1, characterized in that: Vibration sensing system still includes protective sleeve (15), and protective sleeve (15) is set along garbage pneumatic pipeline (9) outer wall, and optical fiber sensor (10) is fitted in protective sleeve (15).
3. The waste pneumatic pipe unblocking system according to claim 1, characterized in that: Dredging maintenance parts still include shell (14), and electric telescopic rod (6) and movable baffle (8) are arranged inside shell (14).
4. The waste pneumatic pipe unblocking system according to claim 3, characterized in that: Intake grid (13) is arranged on the side wall of shell (14), and intake grid (13) includes spaced apart air inlets.
5. The waste pneumatic pipe unblocking system according to claim 1, characterized in that: Movable baffle (8) is composed of concave arc-shaped plate.
6. The waste pneumatic pipe unblocking system according to claim 5, characterized in that: The two ends of movable baffle (8) are provided with butt joints (16), which are L-shaped as a whole, and maintenance opening (12) is arranged in cooperation with butt joints (16).
7. The waste pneumatic pipe unblocking system according to claim 1, characterized in that: The dredging maintenance parts are arranged in the turning area of the pipeline or in the area prone to blockage.
8. A method of waste pneumatic pipeline dredging, based on the waste pneumatic pipeline dredging system according to any one of claims 1 to 7, characterized in that, The method comprises the following steps: Step 1: Real-time acquisition of vibration signals on the garbage pneumatic pipeline by optical fiber sensor (10); Step 2: The host computer (1) receives the vibration signals and analyzes the accumulation of garbage in the garbage pneumatic pipeline using a deep learning algorithm based on the vibration signals; Step 3: The host computer (1) judges according to the mapping threshold value and sends a control instruction to the controller (7) through a wireless network, and simultaneously alarms and prompts the fault point on the user interface; the mapping threshold value is a pre-set garbage accumulation amount; Step 4: After receiving the control instruction, the controller (7) starts the electric telescopic rod and opens the corresponding movable baffle (8); when the gas flow reaches the predetermined value, the baffle is closed to dredge the pipeline using the instantaneous pressure.
9. The garbage pneumatic pipeline dredging method according to claim 8, wherein The step 1 further comprises that the laser (11) generates a laser beam, the photoelectric converter (3) converts the optical signal into an electrical signal, and then the data acquisition card (2) converts the electrical signal into a digital signal, and the digital signal is transmitted to the host computer (1) by wireless transmission; The step 2 further comprises that the host computer (1) substitutes the digital signal into a deep learning model for analysis, and the jammed position is located by the difference between the back Rayleigh scattering signals of two adjacent periods, and the jammed point position is obtained; The step 3 further comprises that the host computer (1) sends a control instruction to the controller (7) through a wireless network to open the nearest movable baffle (8) from the jammed point position.
10. The method of claim 9, wherein, Further comprising the following steps: Step 5, after the movable baffle (8) is closed for 2-4 seconds, the garbage state is continuously detected by the optical fiber sensor, and if it is detected that there is still a large amount of garbage accumulation, the host computer (1) opens the movable baffle (8) again, changes the gas flow rate in the pipeline, and uses the instantaneous pressure to dredge the pipeline again.
Citation Information
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