Vacuum sweeper self-adaptive dust collection control system and use
Through the combination of environment mapping, dynamic programming, particle manipulation and adaptive feedback modules, the problem of dust collection difficulties in vacuum trucks is solved, and efficient and environmentally friendly dust cleaning effects are achieved.
Patent Information
- Application Number
- PCT/CN2025/086107
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-01
- Filing Date
- 2025-03-31
- Publication Date
- 2025-10-09
AI Technical Summary
Vacuum trucks are unlikely to achieve ideal dust collection results, which affects cleaning efficiency and may cause secondary pollution.
The environmental mapping module is used for multi-dimensional perception and real-time modeling, combined with the dynamic programming module to calculate the dust collection path and suction parameters, the particle manipulation module is used for fine control, the self-adaptive feedback module is used for closed-loop feedback adjustment, and the interactive enhancement module is combined to provide an augmented reality interface and gesture recognition interaction to achieve adaptive dust collection control.
It improves the cleaning efficiency of the vacuum truck, reduces the risk of environmental pollution, and achieves precise collection and targeted cleaning of dust.
Smart Images

Figure CN2025086107_09102025_PF_FP_ABST
Abstract
Description
An adaptive dust collection control system for a dust collection vehicle and its application
[0001] This application claims priority to the Chinese patent application filed with the Patent Office of China on April 1, 2024, with application number 202410386403.8 and application name “A self-adaptive dust suction control system and application for a dust suction vehicle”, the entire contents of which are incorporated herein by reference. Technical Field
[0002] The present application relates to the field of special vehicles for road cleaning, and in particular to an adaptive dust collection control system and application thereof for a dust collection vehicle. Background Art
[0003] With the acceleration of urbanization, urban cleaning work is facing increasing challenges. Traditional cleaning methods often rely on manual cleaning, but this method is inefficient and difficult to cope with large amounts of dust and garbage. Therefore, vacuum trucks, as an efficient and automated cleaning equipment, have been widely used in urban cleaning work.
[0004] Vacuum trucks are usually equipped with a dust collection device and a mobile device. The dust collection device collects dust and garbage on the road, and the mobile device realizes automatic cleaning. However, traditional vacuum trucks often have some problems, such as low dust collection efficiency and inability to adapt to different environments and dust collection needs. In order to solve these problems, researchers began to explore the adaptive dust collection control system of vacuum trucks.
[0005] An adaptive dust collection control system is a system that can automatically adjust the dust collection strategy according to environmental parameters and dust collection needs. It usually includes an environmental perception module, a strategy calculation module, a drive execution module and a dust collection adjustment module. The environmental perception module is responsible for collecting and analyzing surrounding environmental parameters, such as dust concentration, wind speed, etc.; the strategy calculation module calculates the optimal dust collection strategy through a preset algorithm based on the data input from the environmental perception module; the drive execution module drives the dust collection vehicle to move and perform dust collection operations according to the instructions of the strategy calculation module; the dust collection adjustment module adjusts the power of the dust collection device and the position and size of the dust collection port according to the instructions of the strategy calculation module to adapt to different environments and dust collection needs.
[0006] However, although the application of adaptive dust collection control systems has brought significant improvements to vacuum trucks, they still face the problem of difficulty in dust collection in actual applications. Due to the uneven size, concentration and distribution of dust particles, as well as the influence of environmental factors such as terrain and wind speed, vacuum trucks often find it difficult to achieve ideal results when collecting dust. This not only affects the cleaning efficiency of vacuum trucks, but may also cause secondary pollution and environmental pollution problems.
[0007] Therefore, in order to solve the problem of dust collection difficulties, researchers need to further explore the adaptive dust collection control system of vacuum trucks to improve dust collection efficiency, reduce environmental pollution, and provide more efficient and environmentally friendly solutions for urban cleaning work. Summary of the Invention
[0008] The purpose of this application is to address the problem that existing vacuum cleaners often have difficulty in achieving ideal results when collecting dust, thereby affecting the cleaning efficiency of the vacuum cleaners.
[0009] In order to achieve the above-mentioned purpose of the invention, the present application provides the following adaptive dust collection control system and application of a dust collection vehicle to improve the above-mentioned problems.
[0010] The specific application is as follows:
[0011] An adaptive dust collection control system for a dust collection vehicle, comprising:
[0012] a. Environmental mapping module, which incorporates multi-dimensional sensing technology and real-time modeling algorithms to analyze dust concentration and particle size, construct a three-dimensional model of the work environment, and identify areas requiring special treatment;
[0013] b. Dynamic programming module, connected to the environment mapping module, calculates the dust collection path and suction parameters through algorithms, and generates dust collection strategies;
[0014] c. The particle manipulation module, connected to the dynamic programming module, uses finely controlled electromagnetic field technology to locate, absorb or repel dust particles in specific areas, thereby achieving targeted cleaning;
[0015] d. A self-adaptive feedback module, connected to the particle manipulation module and the dynamic programming module, monitors the vacuuming effect and provides closed-loop feedback, adjusting system parameters in response to environmental changes or changes in cleaning requirements;
[0016] e. The interaction enhancement module is connected to the dynamic programming module and is configured to provide an augmented reality (AR) interface, enabling the operator to intuitively see the cleaning area, path planning, and immediate effects of the vacuum cleaner in a holographic projection, while supporting interaction through gesture recognition.
[0017] In some embodiments, the self-adaptive feedback module uses the following steps:
[0018] I. A fault prediction and diagnosis subsystem, configured to monitor the operating status of the vacuum truck in real time, predict potential faults by analyzing performance monitoring data, and issue maintenance notifications;
[0019] II. Multiple wireless sensor networks are deployed on vacuum trucks to collect data on mechanical performance and environmental parameters, enabling monitoring of equipment status and working environment.
[0020] III. Data analysis processors in edge computing architectures process data close to the data source, reducing response time and improving system efficiency;
[0021] IV. A control strategy generator that adjusts the control parameters of the particle manipulation module based on real-time feedback and prediction data to achieve precise particle control;
[0022] V. Machine learning engine, which uses deep learning algorithms to extract patterns from the working environment, optimize the prediction model, and achieve self-learning and adaptability of the system.
[0023] In some embodiments, the self-adaptive feedback module further includes a fault prediction and diagnosis subsystem for monitoring the operating status of the vacuum cleaner vehicle in real time, predicting potential faults and issuing maintenance notices in advance.
[0024] In some embodiments, the fault prediction and diagnosis subsystem utilizes machine learning techniques to analyze historical and real-time data to improve the accuracy and timeliness of fault detection.
[0025] In some embodiments, the wireless sensor network can optimize network coverage and data transmission efficiency in a self-organizing manner to ensure the integrity and real-time nature of monitoring data.
[0026] In some embodiments, the data analysis processor includes real-time data stream processing capabilities to quickly identify performance trends and abnormal behaviors, providing support for immediate feedback.
[0027] In some embodiments, the adjustment strategy generator uses the following modules:
[0028] a. Data collection and processing module: Utilizes wireless sensor network technology, including WSN (Wireless Sensor Networks) and edge computing architecture, for real-time data collection and high-speed processing.
[0029] b. Analysis and pattern recognition module: Through the data analysis processor, it uses real-time data processing and edge computing to analyze performance monitoring data to identify operational trends.
[0030] c. Future demand prediction module: This module uses machine learning engines, especially deep learning algorithms (DL), to extract information from historical data and predict future operating conditions.
[0031] d. Strategy generation module: Combines the rule engine and intelligent algorithms, such as the adaptive control algorithm AC (Adaptive Control), to generate control strategies that respond to the current environment and working conditions.
[0032] e. Balancing Accuracy and Response Speed Module: During the strategy generation process, ensure a balance between high accuracy and fast response, and use the optimization algorithm Opt (Optimization Algorithms) to adjust parameter settings.
[0033] f. Dynamic Adjustment Module: Continuously monitors environmental changes and uses dynamic programming (DP) to re-evaluate and adjust strategies if deviations or limits are detected.
[0034] g. Feedback loop module: Feeds the generated strategy back to the self-adaptive feedback module to form a closed-loop control system CLC (Closed-Loop Control) to continuously verify and improve the effectiveness of the strategy.
[0035] An adaptive dust collection control application for a dust collection vehicle comprises a storage box arranged on the vehicle body, a dust collection plate is arranged on the vehicle body, a dust collector is fixedly connected to the vehicle body, the dust collector is connected to the dust collection plate through a pipe, a transport pipe is fixedly connected and connected to the dust collector, a feeding port is opened on the storage box, a recycling device is arranged inside the storage box, a material receiving device is arranged inside the storage box, and a self-locking component is arranged inside the storage box; the recycling device comprises an arc-shaped base mounted on the inner wall of the bottom of the storage box, and the inner wall of the storage box is rotated by The shaft and the bearing are rotatably connected to the first baffle, the bottom inner wall of the storage box is fixedly connected to a receiving platform, the receiving platform is fixedly connected to a driving motor, both sides of the receiving platform are rotatably connected to the first electric push rod through bearings, the output end of the driving motor is fixedly connected to the first electric push rod, the top of the first electric push rod is fixedly connected to the screening box, both sides of the screening box are fixedly connected to special-shaped blocks through coil springs, two connecting rods are hinged on the first baffle, a single connecting rod is fixedly connected to a connecting spring, and the other end of the connecting spring is fixedly connected to the special-shaped block.
[0036] In some embodiments, the recovery device also includes a feeding plate fixedly connected to the first baffle, the first baffle is fixedly connected to an electrostatic adsorption plate on the side close to the receiving platform, a second electric push rod is fixedly connected to the top inner wall of the storage box, the end of the second electric push rod is fixedly connected to a pressure plate, and two splash plates are fixedly connected to the inner wall of the storage box.
[0037] In some embodiments, the recovery device further comprises a water outlet trough provided on the arc-shaped base, a temporary storage box is fixedly connected to the bottom outer wall of the storage box, a slot is provided on the screening box, and a slide rod is slidably connected to the slot.
[0038] In some embodiments, the material receiving device includes an L-shaped plate fixedly connected to the inner wall of the storage box, a feed plate fixedly connected to the L-shaped plate, rectangular grooves are provided on both sides of the feed plate, two connecting strips are fixedly connected to the top inner wall of the storage box, each connecting strip has a sliding groove, a sliding roller is slidably connected in a single sliding groove, a second baffle is fixedly connected to the outer wall of the sliding roller, a second baffle is slidably connected to the L-shaped plate, a retraction plate is slidably connected to the L-shaped plate, two connecting ropes are fixedly connected to the second baffle, and the other end of the connecting rope is fixedly connected to the retraction plate.
[0039] In some embodiments, the self-locking assembly includes a sliding column slidably connected to the screening box, a ball bearing is connected to the bottom of the sliding column, a drain plate is rotatably connected to the screening box through a rotating shaft, an extension groove is provided on the screening box, a fixed column is fixedly connected to the drain plate, a driving rod is fixedly connected to the outer wall of the sliding column and extends beyond the extension groove, a triangular block is fixedly connected to the outer wall of the driving rod, a trapezoidal block is fixedly connected to the outer wall of the drain plate, and a convex strip is fixedly connected to the top of the receiving platform.
[0040] Compared with the prior art, the present invention has the following advantages:
[0041] In the scheme of this application:
[0042] 1. To solve the problem of space occupation by vacuum cleaner fleets in the prior art, this application uses a recycling component to achieve classified disposal of waste collected under two different working conditions: sunny and rainy days. This makes the waste collection process more convenient and facilitates subsequent cleanup work for staff.
[0043] 2. To address the problem of dust easily generated during dust collection on sunny days in the prior art, the present invention provides a recovery component that effectively guides the dust during collection and, after directing the dust into water, avoids secondary dust generation.
[0044] 3. The material collecting device is provided so that the material collecting device can be driven intermittently during the movement of the recycling device, so that the waste materials can enter the screening box in an orderly manner for drainage and compression, thus solving the problem of low capacity of vacuum trucks in the prior art.
[0045] 4. The material collecting device realizes the driving and vibration transmission of the first baffle, solving the problem of secondary dust generation after dust collection in the prior art, which causes dust to fill the storage box and makes subsequent cleaning difficult;
[0046] 5. By setting up the self-locking component, the drain door can be opened while the screening box is moving, thereby ensuring that waste will not accumulate in the screening box. At the same time, the drain plate can be blocked to prevent it from opening during the resetting process. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] FIG1 is a system block diagram of an adaptive dust collection control system for a dust collection vehicle provided by the present application;
[0048] FIG2 is a front view of an adaptive dust collection control application for a dust collection vehicle provided by the present application;
[0049] FIG3 is a schematic diagram of the external structure of a storage box for an adaptive dust collection control application in a dust collection vehicle provided by the present application;
[0050] FIG4 is a cross-sectional view of the interior of a storage box of a vacuum truck with an adaptive dust collection control application provided by the present application;
[0051] FIG5 is a diagram showing the internal structure of a storage box of a vacuum truck with adaptive vacuum control application provided by the present application;
[0052] FIG6 is a schematic structural diagram of a material receiving device for an adaptive dust collection control application of a dust collection vehicle provided by the present application;
[0053] FIG7 is a second diagram of the internal structure of a storage box of a vacuum cleaner vehicle with adaptive dust collection control application provided by the present application;
[0054] FIG8 is a schematic diagram of a second configuration of a recovery device for an adaptive dust collection control application on a dust collection vehicle provided by the present application;
[0055] FIG9 is a schematic diagram of the connection between the rolling pulley and the special-shaped block of an adaptive dust collection control application for a dust collection vehicle provided by the present application;
[0056] FIG10 is a schematic diagram of the structure of a self-locking component for an adaptive dust collection control application of a dust collection vehicle provided in the present application.
[0057] Indicated in the figure: 1. Storage box; 2. Dust collecting plate; 3. Dust collector; 4. Transport pipe; 5. Feed port; 6. Recovery device; 601. Arc base; 602. First baffle; 603. Receiving platform; 604. Driving motor; 605. First electric push rod; 606. Screening box; 607. Special-shaped block; 608. Connecting rod; 609. Connecting spring; 610. Feeding plate; 611. Electrostatic adsorption plate; 612. Second electric push rod; 613. Pressing plate; 614. Splash plate; 615. Water outlet ; 616, temporary storage box; 617, slot; 618, slide bar; 7, material receiving device; 701, L-shaped plate; 702, feed plate; 703, rectangular groove; 704, connecting strip; 705, sliding groove; 706, sliding roller; 707, second baffle; 708, retraction plate; 709, connecting rope; 8, self-locking assembly; 801, sliding column; 802, drain plate; 803, extension groove; 804, fixed column; 805, driving rod; 806, triangular block; 807, trapezoidal block; 808, convex strip. DETAILED DESCRIPTION
[0058] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.
[0059] As described in the background art, it is often difficult for a vacuum cleaner to achieve an ideal effect when collecting dust, which affects the cleaning efficiency of the vacuum cleaner.
[0060] In order to solve this technical problem, the present application provides an adaptive dust collection control system and application for a dust collection vehicle, which is applied to and improved in recycling bin space.
[0061] Specifically, referring to FIG1 , the self-adaptive dust collection control system of a dust collection vehicle specifically includes:
[0062] a. Environmental mapping module, which incorporates multi-dimensional sensing technology and real-time modeling algorithms to analyze dust concentration and particle size, construct a three-dimensional model of the work environment, and identify areas requiring special treatment;
[0063] b. Dynamic programming module, connected to the environment mapping module, calculates the dust collection path and suction parameters through algorithms, and generates dust collection strategies;
[0064] c. The particle manipulation module, connected to the dynamic programming module, uses finely controlled electromagnetic field technology to locate, absorb or repel dust particles in specific areas, thereby achieving targeted cleaning;
[0065] d. A self-adaptive feedback module, connected to the particle manipulation module and the dynamic programming module, monitors the vacuuming effect and provides closed-loop feedback, adjusting system parameters in response to environmental changes or changes in cleaning requirements;
[0066] e. The interaction enhancement module is connected to the dynamic programming module and is configured to provide an augmented reality (AR) interface, enabling the operator to intuitively see the cleaning area, path planning, and immediate effects of the vacuum cleaner in a holographic projection, while supporting interaction through gesture recognition.
[0067] The steps for using the self-adaptive feedback module are as follows:
[0068] I. A fault prediction and diagnosis subsystem, configured to monitor the operating status of the vacuum truck in real time, predict potential faults by analyzing performance monitoring data, and issue maintenance notifications;
[0069] II. Multiple wireless sensor networks are deployed on vacuum trucks to collect data on mechanical performance and environmental parameters, enabling monitoring of equipment status and working environment.
[0070] III. Data analysis processors in edge computing architectures process data close to the data source, reducing response time and improving system efficiency;
[0071] IV. A control strategy generator that adjusts the control parameters of the particle manipulation module based on real-time feedback and prediction data to achieve precise particle control;
[0072] V. Machine learning engine, which uses deep learning algorithms to extract patterns from the working environment, optimize the prediction model, and achieve self-learning and adaptability of the system.
[0073] The self-adaptive feedback module also includes a fault prediction and diagnosis subsystem for real-time monitoring of the operating status of the vacuum cleaner, predicting potential faults and issuing maintenance notices in advance.
[0074] The fault prediction and diagnosis subsystem uses machine learning technology to analyze historical and real-time data to improve the accuracy and timeliness of fault detection.
[0075] The wireless sensor network can optimize network coverage and data transmission efficiency in a self-organizing manner, thereby ensuring the integrity and real-time performance of monitoring data.
[0076] The data analytics processor includes real-time data stream processing capabilities to quickly identify performance trends and abnormal behaviors, supporting immediate feedback.
[0077] The regulation strategy generator uses the following modules:
[0078] a. Data collection and processing module: Utilizes wireless sensor network technology, including WSN (Wireless Sensor Networks) and edge computing architecture, for real-time data collection and high-speed processing.
[0079] b. Analysis and pattern recognition module: Through the data analysis processor, it uses real-time data processing and edge computing to analyze performance monitoring data to identify operational trends.
[0080] c. Future demand prediction module: This module uses machine learning engines, especially deep learning algorithms (DL), to extract information from historical data and predict future operating conditions.
[0081] d. Strategy generation module: Combines the rule engine and intelligent algorithms, such as the adaptive control algorithm AC (Adaptive Control), to generate control strategies that respond to the current environment and working conditions.
[0082] e. Balancing Accuracy and Response Speed Module: During the strategy generation process, ensure a balance between high accuracy and fast response, and use the optimization algorithm Opt (Optimization Algorithms) to adjust parameter settings.
[0083] f. Dynamic Adjustment Module: Continuously monitors environmental changes and uses dynamic programming (DP) to re-evaluate and adjust strategies if deviations or limits are detected.
[0084] g. Feedback loop module: Feeds the generated strategy back to the self-adaptive feedback module to form a closed-loop control system CLC (Closed-Loop Control) to continuously verify and improve the effectiveness of the strategy.
[0085] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.
[0086] It should be noted that, unless there is any conflict, the embodiments in this application and the features and technical solutions in the embodiments can be combined with each other.
[0087] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.
[0088] Example 1
[0089] Please refer to Figures 2, 3, 4, 5 and 7, an adaptive dust collection control application for a vacuum cleaner vehicle includes a storage box 1 provided on the vehicle body, a dust collection plate 2 provided on the vehicle body, a dust collector 3 fixedly connected to the vehicle body, the dust collector 3 is connected to the dust collection plate 2 via a pipe, a transport pipe 4 is fixedly connected and connected to the dust collector 3, a feeding port 5 is provided on the storage box 1, a recovery device 6 is provided inside the storage box 1, a material receiving device 7 is provided inside the storage box 1, and a self-locking component 8 is provided inside the storage box 1;
[0090] The impurities absorbed by the dust collecting plate 2 are introduced into the feed port 5 through the transport pipe 4 by the dust collector 3, so that the impurities can enter the storage box 1 for further processing.
[0091] The recovery device 6 includes an arc-shaped base 601 mounted on the inner wall of the bottom of the storage box 1. The inner wall of the storage box 1 is rotatably connected to a first baffle 602 through a rotating shaft and a bearing. A receiving platform 603 is fixedly connected to the inner wall of the bottom of the storage box 1. A driving motor 604 is fixedly connected to the receiving platform 603. The rotation of the output end of the driving motor 604 allows the first electric push rod 605 to rotate, thereby allowing the screening box 606 to rotate accordingly. Both sides of the receiving platform 603 are rotatably connected to the first electric push rod 605 through bearings. The output end of the driving motor 604 is connected to the first electric push rod 605. The movable push rod 605 is fixedly connected, and the top of the first electric push rod 605 is fixedly connected to the screening box 606. Both sides of the screening box 606 are fixedly connected to the special-shaped block 607 through a coil spring. It should be added that there are two arc surfaces on the special-shaped block 607, and a groove consistent with the size of the slide rod 618 is opened on the special-shaped block 607 to prevent the special-shaped block 607 from moving to the bottom of the slide rod 618. Two connecting rods 608 are hinged on the first baffle 602, and a connecting spring 609 is fixedly connected to the single connecting rod 608. The other end of the connecting spring 609 is fixedly connected to the special-shaped block 607.
[0092] The impurities are compressed by the screening box 606 in cooperation with the pressing plate 613, so that the storage box 1 can accommodate more impurities, and at the same time the first baffle 602 can be controlled to form different usage modes.
[0093] Please refer to Figures 2, 3, 4, 5 and 7, an adaptive dust collection control application for a vacuum cleaner vehicle, the recovery device 6 also includes a feed plate 610 fixedly connected to the first baffle 602, the first baffle 602 is fixedly connected to an electrostatic adsorption plate 611 on the side close to the receiving platform 603, a second electric push rod 612 is fixedly connected to the top inner wall of the storage box 1, and the end of the second electric push rod 612 is fixedly connected to a pressure plate 613. It should be added that the pressure plate 613 is set to be inclined, and two splash plates 614 are fixedly connected to the inner wall of the storage box 1.
[0094] After the debris enters the L-shaped plate 701 , the contraction plate 708 expands outward, so that the L-shaped plate 701 can accommodate more debris, allowing the screening box 606 to have time to process the debris.
[0095] The recovery device 6 also includes a water outlet trough 615 provided on the arc-shaped base 601 , a temporary storage box 616 is fixedly connected to the bottom outer wall of the storage box 1 , a slot 617 is provided on the screening box 606 , and a slide rod 618 is slidably connected in the slot 617 .
[0096] The water outlet trough 615 allows the water level to rise while allowing the water flow to be guided into the temporary storage box 616 through the water outlet trough 615 , while retaining a certain amount of water in the storage box 1 .
[0097] Example 2
[0098] The adaptive dust collection control application of a dust collection vehicle provided in Example 1 is further optimized. Specifically, as shown in Figures 6 and 9, the material collecting device 7 includes an L-shaped plate 701 fixedly connected to the inner wall of the storage box 1, and a feeding plate 702 is fixedly connected to the L-shaped plate 701. Rectangular grooves 703 are provided on both sides of the feeding plate 702. Two connecting strips 704 are fixedly connected to the top inner wall of the storage box 1, and sliding grooves 705 are provided on the connecting strips 704. A sliding roller 706 is slidably connected in a single sliding groove 705, and a second baffle 707 is fixedly connected to the outer wall of the sliding roller 706. The second baffle 707 is slidably connected to the L-shaped plate 701, and a retraction plate 708 is slidably connected to the L-shaped plate 701. Two connecting ropes 709 are fixedly connected to the second baffle 707, and the other end of the connecting rope 709 is fixedly connected to the retraction plate 708.
[0099] The special-shaped block 607 is used as a driving force to enable the second baffle 707 to be lifted or lowered when needed, so that the trapezoidal feed plate 702 is blocked and cooperates with the L-shaped plate 701 to form a semi-enclosed space.
[0100] Example 3
[0101] The adaptive dust collection control application of a vacuum cleaner provided in Example 1 or 2 is further optimized. Specifically, as shown in Figures 4 and 10, the self-locking component 8 includes a sliding column 801 slidably connected to the screening box 606, and the bottom of the sliding column 801 is connected to a ball bearing. The screening box 606 is rotatably connected to a drain plate 802 through a rotating shaft. An extension groove 803 is provided on the screening box 606, and a fixed column 804 is fixedly connected to the drain plate 802. A driving rod 805 is fixedly connected to the outer wall of the sliding column 801 and extends beyond the extension groove 803. A triangular block 806 is fixedly connected to the outer wall of the driving rod 805, a trapezoidal block 807 is fixedly connected to the outer wall of the drain plate 802, and a convex strip 808 is fixedly connected to the top of the receiving platform 603.
[0102] By rotating the screening box 606, the drain plate 802 can be opened and closed under the drive of the protruding strip 808, and the drain plate 802 can be closed after being reset.
[0103] The application process of the adaptive dust collection control application for a vacuum truck provided by this application is as follows:
[0104] 1. When the rainy day mode is used, when the vacuum cleaner 3 is working, the garbage absorbed by the dust collection plate 2 is conducted by negative pressure, and is finally transported to the inside of the storage box 1 through the transport pipe 4. When the waste reaches the L-shaped plate 701, the accumulation of waste pushes the retracting plate 708 to move to both sides. At this time, the volume of the space enclosed by the L-shaped plate 701 and the retracting plate 708 gradually increases. At this time, the driving motor 604 drives the screening box 606 to deflect toward the L-shaped plate 701. At this time, the curved surface of the special-shaped block 607 allows the sliding roller 706 to be lifted, thereby driving the second baffle 707 to move upward. At this time, the second baffle 707 can use the connecting rope 709 to make the retracting plate 708 move closer to the center during the upward movement, thereby allowing debris to enter the screening box 606. At this time, since the screening box 606 is in an inclined state, the debris first fills the part of the box body close to the receiving platform 603;
[0105] 2. After that, when the debris is filled into the screening box 606, the coil spring on the special-shaped block 607 allows the special-shaped block 607 to rotate and push the slide bar 618 to move, so that the slide bar 618 smoothes the debris for subsequent squeezing, and the second electric push rod 612 drives the pressure plate 613 to squeeze the debris and drain the water through the drain plate 802. When the driving motor 604 drives the screening box 606 to reset, the coil spring resets and brakes the special-shaped block 607 at the same time. At the same time, the special-shaped block 607 compresses the connecting spring 609 and cooperates with the connecting rod 608 to form a push rod to push the first baffle 602 to flip, and at the same time, the feeding plate 610 is in a lower position to facilitate the reception of the debris coming out of the screening box 606. At the same time, the water outlet 615 on the arc base 601 is opened, allowing the water flow to be directed to the temporary storage box 616 and can be discharged through the temporary storage box 616;
[0106] 3. When the usage scenario is sunny mode, the screening box 606 moves toward the receiving platform 603, and the special-shaped block 607 makes the second baffle 707 normally open through the arc surface. At this time, the pressure plate 613 is driven by the second electric push rod 612 to drop to the same height as the splash plate 614, and the special-shaped block 607 pulls the first baffle 602 to flip to the second state shown in Figure 8 through the connecting spring 609 and the connecting rod 608. At this time, the pressure plate 613 forms a guide with the feeding plate 610 and the first baffle 602 The plate guides the dust to the electrostatic adsorption plate 611, and the electrostatic adsorption plate 611 adsorbs the dust. When the dust collection process is completed, the screening box 606 is reset and the first baffle 602 is reset accordingly. At this time, the connecting spring 609 remains in a shaking state under the action of inertia and the gravity of the first baffle 602, causing the surface of the first baffle 602 to shake slightly. The electrostatic adsorption plate 611 is then powered off and then enters the water in the space formed by the arc base 601 and the storage box 1 under the action of shaking, thereby avoiding the generation of dust.
[0107] 4. When the screening box 606 tilts toward the feeding plate 610, the sliding column 801 is lifted by the pressure of the bottom ball and the ridge 808. At this time, the sliding column 801 slides the fixed column 804 on its surface through the driving rod 805, thereby pulling open the drain plate 802. When the sliding column 801 descends, the triangular block 806 cooperates with the trapezoidal block 807 to form a lock for self-locking.
[0108] 5. It should be added that an exhaust fan for air circulation is installed on the storage box 1. Since this technology is existing technology, it is not disclosed. When the storage box 1 completes its work and needs to be cleaned, the recovery device 6 can be transformed into the form shown in Figure 8. At this time, the vehicle body is tilted towards the storage box 1, so that the water in the box breaks through the curved base 601 and moves toward the door of the storage box 1. At this time, the water flow will flush the bottom of the space where impurities are stored, saving the staff cleaning time.
[0109] Obviously, the embodiments described above are only some of the embodiments of this application, not all of them. The drawings provide preferred embodiments of this application, but do not limit the scope of the patent. Any equivalent structure made using the contents of this application specification and drawings, directly or indirectly applied in other related technical fields, shall also fall within the scope of protection of this patent.
Claims
1. An adaptive dust collection control system for a dust collection vehicle, comprising a. Environmental mapping module, which incorporates multi-dimensional sensing technology and real-time modeling algorithms to analyze dust concentration and particle size, construct a three-dimensional model of the work environment, and identify areas requiring special treatment; b. Dynamic programming module, connected to the environment mapping module, calculates the dust collection path and suction parameters through algorithms, and generates dust collection strategies; c. The particle manipulation module is connected to the dynamic programming module and uses finely controlled electromagnetic field technology to locate, absorb and repel dust particles in specific areas, thereby achieving targeted cleaning; d. A self-adaptive feedback module, connected to the particle manipulation module and the dynamic programming module, monitors the vacuuming effect and provides closed-loop feedback, adjusting system parameters in response to environmental changes and changes in cleaning requirements; e. An interactive enhancement module, connected to the dynamic programming module, is configured to provide an augmented reality interface, enabling the operator to intuitively see the cleaning area, path planning, and immediate effects of the vacuum cleaner in a holographic projection, while supporting interaction through gesture recognition.
2. The adaptive dust collection control system for a dust collection vehicle according to claim 1, wherein: The steps for using the self-adaptive feedback module are as follows: I. A fault prediction and diagnosis subsystem, configured to monitor the operating status of the vacuum truck in real time, predict potential faults by analyzing performance monitoring data, and issue maintenance notifications; II. Multiple wireless sensor networks are deployed on vacuum trucks to collect data on mechanical performance and environmental parameters, enabling monitoring of equipment status and working environment. III. Data analysis processors in edge computing architectures process data close to the data source, reducing response time and improving system efficiency; IV. A control strategy generator that adjusts the control parameters of the particle manipulation module based on real-time feedback and prediction data to achieve precise particle control; V. Machine learning engine, which uses deep learning algorithms to extract patterns from the working environment, optimize the prediction model, and achieve self-learning and adaptability of the system.
3. The adaptive dust collection control system for a dust collection vehicle according to claim 2, wherein: The self-adaptive feedback module also includes a fault prediction and diagnosis subsystem for real-time monitoring of the operating status of the vacuum cleaner, predicting potential faults and issuing maintenance notices in advance.
4. The adaptive dust collection control system for a dust collection vehicle according to claim 3, wherein: The fault prediction and diagnosis subsystem uses machine learning technology to analyze historical and real-time data to improve the accuracy and timeliness of fault detection.
5. The adaptive dust collection control system for a dust collection vehicle according to claim 4, wherein: The wireless sensor network can optimize network coverage and data transmission efficiency in a self-organizing manner, thereby ensuring the integrity and real-time performance of monitoring data.
6. The adaptive dust collection control system for a dust collection vehicle according to claim 5, wherein: The data analytics processor includes real-time data stream processing capabilities to quickly identify performance trends and abnormal behaviors, supporting immediate feedback.
7. The adaptive dust collection control system for a dust collection vehicle according to claim 6, wherein: The regulation strategy generator uses the following modules: a. Data collection and processing module: Utilizes wireless sensor network technology, including WSN and edge computing architecture, to perform real-time data collection and high-speed processing; b. Analysis and pattern recognition module: This module uses a data analysis processor to analyze performance monitoring data and identify operational trends using real-time data processing and edge computing. c. Future demand prediction module: This module uses machine learning engines, specifically deep learning algorithms (DL), to extract information from historical data and predict future operating conditions. d. Strategy generation module: Combines the rule engine and intelligent algorithms, such as the adaptive control algorithm (AC), to generate control strategies that respond to the current environment and operating conditions; e. Balancing Accuracy and Response Speed Module: Ensures a balance between high accuracy and fast response during strategy generation, using the optimization algorithm Opt to adjust parameter settings; f. Dynamic Adjustment Module: This module continuously monitors environmental changes and uses dynamic programming (DP) to re-evaluate and adjust policies if deviations or limits are detected. g. Feedback loop module: Feedback the generated strategy to the self-adaptive feedback module to form a closed-loop control system CLC, which continuously verifies and improves the effectiveness of the strategy.
8. An adaptive dust collection control application for a vacuum cleaner vehicle, using the adaptive dust collection control system for a vacuum cleaner vehicle as claimed in claim 1, wherein: The vehicle comprises a storage box provided on the vehicle body, a dust collecting plate provided on the vehicle body, a dust collector fixedly connected to the vehicle body, the dust collector being connected to the dust collecting plate via a pipe, a transport pipe fixedly connected and connected to the dust collector, a feeding port provided on the storage box, a recycling device provided inside the storage box, a material receiving device provided inside the storage box, and a self-locking component provided inside the storage box; The recovery device includes an arc-shaped base installed on the inner wall of the bottom of the storage box, a first baffle is rotatably connected to the inner wall of the storage box through a rotating shaft and a bearing, a receiving platform is fixedly connected to the inner wall of the bottom of the storage box, a driving motor is fixedly connected to the receiving platform, both sides of the receiving platform are rotatably connected to the first electric push rod through bearings, the output end of the driving motor is fixedly connected to the first electric push rod, the top of the first electric push rod is fixedly connected to the screening box, both sides of the screening box are fixedly connected to special-shaped blocks through coil springs, two connecting rods are hinged on the first baffle, a single connecting rod is fixedly connected to a connecting spring, and the other end of the connecting spring is fixedly connected to the special-shaped block.
9. The adaptive dust collection control application for a dust collection vehicle according to claim 8, wherein: The recovery device also includes a feeding plate fixedly connected to the first baffle, the first baffle is fixedly connected to an electrostatic adsorption plate on a side close to the receiving platform, a second electric push rod is fixedly connected to the top inner wall of the storage box, the end of the second electric push rod is fixedly connected to a pressure plate, and two splash plates are fixedly connected to the inner wall of the storage box.
10. The adaptive dust collection control application for a dust collection vehicle according to claim 9, wherein: The recovery device also includes a water outlet trough provided on the arc-shaped base, a temporary storage box is fixedly connected to the bottom outer wall of the storage box, and a slot is provided on the screening box, in which a slide rod is slidably connected.
Citation Information
Patent Citations
Intelligent road sweeper and a road pollutant identification method and a control method thereof
CN109024417A
Factory boundary road dust suppression system and application thereof
CN111088768A
Dust-free room intelligent sweeping robot
CN112535434A
Road cleanliness detection method and intelligent sweeping method
CN115018801A
Cleaning robot control method and device, equipment and medium
CN117297402A