Intelligent detection device for concrete ultrahigh pumping explosion-proof pipe and risk early warning method
By introducing curved guide rails and intelligent detection devices into the concrete pumping system, combined with image acquisition and noise analysis, real-time monitoring and early warning of pipeline status are achieved, solving the problem of pipe blockage in super-high-rise buildings and improving construction efficiency and safety.
Patent Information
- Application Number
- CN202510967285.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-14
- Publication Date
- 2025-09-19
AI Technical Summary
The existing concrete pumping system is prone to pipe blockage due to long-distance pumping and high pressure during the construction of super-high-rise buildings, affecting construction efficiency and increasing costs. Existing detection methods are not sufficient to monitor and warn of pipeline status in real time.
By adopting curved guide rails, image acquisition mechanisms, noise acquisition mechanisms, vibration sensors and LSTM neural network models, combined with data acquisition, feature extraction and pattern recognition, real-time monitoring and automatic early warning of pipeline status can be achieved.
It improves the accuracy and efficiency of pipeline monitoring, reduces the economic losses and safety risks of pipe burst accidents, and ensures the continuity and safety of construction.
Smart Images

Figure CN120667654A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of concrete pipeline detection, and in particular to an intelligent detection device for concrete ultra-high pumping explosion-proof pipes and a risk warning method. Background Art
[0002] With the acceleration of urbanization, super-high-rise buildings have gradually become a hallmark of modern urban development. Such buildings place extremely high demands on concrete pumping construction technology, especially in key areas such as the core tube and steel structure corridors, where concrete must be continuously and stably pumped from the ground to heights of hundreds of meters or even kilometers. Currently, pumping systems that combine vehicle-mounted pumps with fixed pumping trucks are commonly used in construction projects, delivering concrete to designated locations through multi-stage pipeline relays. However, in actual construction, concrete pumping pipe blockages are frequent, severely restricting construction efficiency and increasing project costs.
[0003] Existing concrete pumping systems typically consist of a mobile pump (truck pump) and a stationary ground pump, connected in series via high-pressure rubber or steel pipes to form a multi-stage pumping unit. The truck pump provides the initial pumping pressure, while the ground pump achieves vertical height increases through step-by-step pressure increases. However, due to the long pumping distances required for super-high-rise buildings, high pumping pressures are required.
[0004] During long-distance pumping, the slump of concrete is significantly lost, especially in high-temperature environments. Water evaporation and the failure of chemical admixtures lead to a decrease in the fluidity of concrete, which can easily cause segregation and pipe blockage. Under ultra-high pressure, the friction coefficient between the inner wall of the pipeline and the concrete increases. At the same time, the impact and wear of coarse aggregate on the pipe wall causes the flow cross-section of the pipeline to shrink, further increasing the probability of pipe blockage. Pipeline blockage will affect construction operations and reduce construction efficiency. Summary of the Invention
[0005] In response to the deficiencies in the prior art, the present application provides an intelligent detection device and risk warning method for ultra-high concrete pumping explosion-proof pipes to solve the above-mentioned technical problems.
[0006] To achieve the above-mentioned objectives, the present application provides the following technical solutions: an intelligent detection device for concrete ultra-high pumping explosion-proof pipes, comprising an arc-shaped guide rail, a control terminal and a signal transmission terminal, wherein the arc-shaped guide rail is assembled on the top of the control terminal and the signal transmission terminal, and the bottom of the control terminal and the signal transmission terminal are both equipped with sliding rail blocks, the bottom of the sliding rail blocks are slidably connected to the limited rail groove, noise collection mechanisms are evenly distributed on the right side of the signal transmission terminal, a model host is assembled on the front of the signal transmission terminal, a noise separation and processing device is assembled on the left side of the bottom of the signal transmission terminal, and a vibration sensor and a communication module are assembled inside the signal transmission terminal, the communication module is connected to the control module via an optical fiber signal, an air pump is connected to the left side of the signal transmission terminal, and the inner cavity of the arc-shaped guide rail is equipped with an image collection mechanism.
[0007] The top of the image acquisition mechanism is equipped with a limiting sliding block, and the two sides of the limiting sliding block are respectively connected to the first airbag and the second airbag. The outside of the first airbag is connected to a corrugated hose, and the other end of the corrugated hose is connected to the output end of the air pump. The outside of the second airbag is connected to a first one-way valve tube, and the bottom of the second airbag is connected to a telescopic hose, and the other end of the telescopic hose is connected to a second one-way valve tube. The second one-way valve tube is connected to the image acquisition mechanism.
[0008] Preferably, the noise collection mechanism is connected to the signal transmission terminal through a line, and the outside of the noise collection mechanism is equipped with a sponge soft cover, and the outside of the noise collection mechanism is adjusted with a rubber protective cover. The noise collection mechanism is a common microphone device in the prior art, which can collect the noise inside the pipe and transmit the noise signal to the model host through the line. The sponge soft cover can reduce the dull sound or low-frequency interference caused by sound vibration and improve the sound clarity. The rubber protective cover can protect the noise collection mechanism to avoid damage to the noise collection mechanism caused by impact and increase the service life of the noise collection mechanism.
[0009] Preferably, the bottom of the air pump is assembled with a limiting bracket by bolts, and the left side of the limiting bracket is connected to the outside of the noise separation processing equipment by bolts. The limiting bracket can support and fix the air pump, thereby improving the stability of the air pump during operation. At the same time, the installation method of the bolts makes it convenient to disassemble and maintain the air pump during use, thereby improving the overall utilization efficiency of the device.
[0010] Preferably, the inner cavity of the sliding track block is equipped with a track wheel, and the inner cavity of the limiting track groove is provided with a slide rail that cooperates with the track wheel. The outside of the sliding track block is connected to a servo motor, which is a reduction motor commonly used in the prior art, and the noise separation processing equipment is controlled by a control terminal, which can drive the track wheel to rotate, and then make the track wheel move inside the slide rail, and finally drive the sliding track block to move inside the limiting track groove, thereby realizing comprehensive monitoring of the outside of the pipeline.
[0011] Preferably, the ends of the first airbag and the second airbag away from the limiting sliding block are respectively connected to the inner cavity of the arc-shaped guide track by adhesive, the inner cavity of the second airbag is equipped with a spring, and the inner cavity of the second airbag is embedded with memory sponge. The positions of the first airbag and the second airbag can be fixed by the adhesive connection, so that one end of the first airbag and the second airbag is in a fixed state, and the other end can drive the image acquisition mechanism to move. The cooperation of the spring and the memory sponge can make the second airbag automatically suck the external gas into the interior of the second airbag when it returns to its original position, so that the second airbag can be used later.
[0012] Preferably, a sliding groove is provided in the inner cavity of the arc-shaped guide rail, and a sliding block matching the sliding groove is provided on the top of the limit sliding block. The sliding groove enables the limit sliding block to slide at the bottom of the arc-shaped guide rail, so that the image acquisition mechanism can perform comprehensive imaging and temperature monitoring of the connection end of the pipeline, thereby improving the accuracy of the pipeline monitoring data.
[0013] Preferably, a fill light is installed at the bottom of the image acquisition mechanism through bolts, the imaging lens of the image acquisition mechanism is located directly below the image acquisition mechanism, and the exhaust hole of the second one-way valve tube is located outside the imaging lens. The fill light can assist the imaging lens of the image acquisition mechanism, thereby improving the accuracy of the monitoring data of the pipeline connection end by the image acquisition mechanism. The second one-way valve tube can generate airflow to clean the imaging lens of the image acquisition mechanism and prevent dust from adhering to the outside of the imaging lens.
[0014] A method for intelligent detection and risk warning of ultra-high concrete pumping explosion-proof pipes, based on the above-mentioned intelligent detection device for ultra-high concrete pumping explosion-proof pipes, comprises: S1: Data Collection The signal transmission terminal and the noise collection mechanism cooperate to obtain the noise spectrum of the fluid in the pipeline and record the vibration sensor data inside the signal transmission terminal. At the same time, the image collection mechanism monitors the temperature and real-time image of the connection end of the pipeline. S2: Feature Extraction The noise separation processing equipment uses wavelet transform to separate S1: the low-frequency impact component and high-frequency friction component in the noise signal inside the noise spectrum obtained during data acquisition; S3: Pattern Recognition Using the LSTM neural network model trained within the model host, combined with the historical fault database, the low-frequency impact components and high-frequency friction components in S2: feature extraction and the image and temperature data in S1: data acquisition are processed to determine the status of the pipeline and pipeline connection ends; S4: Linkage Control When S3: pattern recognition determines that the pipeline is in a blocked state, the signal transmission terminal automatically shuts down the external pump through the communication module and issues an audible and visual alarm. When S3: pattern recognition determines that the pipeline connection end is leaking, the signal transmission terminal reduces the pump power through the communication module and issues an audible and visual alarm.
[0015] Preferably, in said S1: data collection, the signal transmission terminal is driven by the cooperation of the servo motor and the sliding track block, and reciprocates in the inner cavity of the limiting track groove to obtain the noise spectrum of the fluid in the pipeline.
[0016] Preferably, in the S1: data acquisition signal transmission terminal, the air pump controls the first airbag to perform telescopic movement through airflow, and then drives the limiting sliding block to reciprocate along the bottom of the arc-shaped guide track, thereby monitoring the temperature and real-time image of the outside of the pipeline connection end.
[0017] In summary, this application provides an intelligent detection device and risk warning method for ultra-high concrete pumping explosion-proof pipes, which have the following beneficial effects: This intelligent detection device and risk warning method for concrete ultra-high pumping explosion-proof pipes, by adding sliding track blocks and limit track grooves to drive the image acquisition mechanism, signal transmission terminal and control terminal to comprehensively monitor the noise, image and temperature of the outside of the pipeline. Combined with S1: data acquisition, S2: feature extraction, S3: pattern recognition and S4: linkage control, it realizes real-time online monitoring of the pipeline status. Through multimodal data fusion, the accuracy of the data is increased. The automated warning mechanism can reduce the economic losses and safety risks caused by pipe burst accidents and avoid reduced work efficiency due to pipeline blockage.
[0018] This intelligent detection device and risk warning method for ultra-high concrete pumping explosion-proof pipes uses an additional air pump, corrugated hose, first airbag, and limit sliding block. When the image acquisition mechanism monitors the temperature and image of the pipe connection end, it automatically drives the image acquisition mechanism to move in an arc, thereby comprehensively monitoring the outside of the connection end, improving the monitoring effect of the pipe connection end, and avoiding reduced monitoring efficiency of the pipeline due to incomplete detection data.
[0019] This intelligent detection device and risk warning method for ultra-high concrete pumping explosion-proof pipes, through the addition of a second airbag, a first one-way valve tube, a telescopic hose, and a second one-way valve tube, automatically generates airflow to clean the imaging lens at the bottom of the image acquisition mechanism when the image acquisition mechanism monitors the arc movement of the pipe connection end, preventing fine dust from adhering to the outside of the imaging lens, thereby affecting the imaging lens's monitoring data of the connection end, thereby improving the accuracy of pipeline detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 It is an external schematic diagram of the present invention.
[0021] Figure 2 It is a top schematic diagram of the present invention.
[0022] Figure 3 It is a plan view of the present invention.
[0023] Figure 4 It is an external schematic diagram of the image acquisition mechanism of the present invention.
[0024] Figure 5 It is a schematic diagram of the workflow of the present invention.
[0025] Description of reference numerals: 1. Arc guide rail; 2. Control terminal; 21. Sliding track block; 22. Limiting track groove; 3. Signal transmission terminal; 31. Noise collection mechanism; 32. Noise separation and processing equipment; 33. Model host; 34. Servo motor; 4. Air pump; 41. Limiting bracket; 42. Corrugated hose; 5. Image acquisition mechanism; 51. Fill light; 52. Limiting sliding block; 53. First airbag; 54. Second airbag; 55. First one-way valve tube; 56. Telescopic hose; 57. Second one-way valve tube. DETAILED DESCRIPTION
[0026] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0027] This application provides a technical solution, please refer to Figure 1 and Figure 2, a concrete super-high pumping explosion-proof pipe intelligent detection device, including an arc guide rail 1, a control terminal 2 and a signal transmission terminal 3, the arc guide rail 1 is assembled on the top of the control terminal 2 and the signal transmission terminal 3, the bottom of the control terminal 2 and the signal transmission terminal 3 are both equipped with a sliding rail block 21, the bottom of the sliding rail block 21 is slidably connected to the limited rail groove 22, the right side of the signal transmission terminal 3 is evenly distributed with noise collection mechanisms 31, the front of the signal transmission terminal 3 is equipped with a model host 33, the bottom left of the signal transmission terminal 3 is equipped with a noise separation processing device 32, and the interior of the signal transmission terminal 3 is equipped with a vibration sensor and a communication module, the communication module is connected to the control module via an optical fiber signal, the control module is assembled in the external pump body, and is used to control the switch of the pump body, the left side of the signal transmission terminal 3 is connected to the air pump 4, and the inner cavity of the arc guide rail 1 is equipped with an image collection mechanism 5.
[0028] The arc-shaped guide track 1 can connect and fix the control terminal 2 and the signal transmission terminal 3. The control terminal 2 can control the electronic components inside the device and monitor the operating status. The signal transmission terminal 3 can organize and transmit data. The noise collection mechanism 31 can monitor and record the noise of the pipeline. The noise collection mechanism 31 is a common radio device in the prior art. The noise separation processing device 32 can cooperate with the noise collection mechanism 31 to separate and process the noise. The noise separation processing device 32 is an acoustic sensor array in the prior art. The model host 33 is equipped with an AI model inside, which can process the noise and judge the status of the pipeline based on the noise. The air pump 4 is a common gas generating device in the prior art, which is used to control the movement of the first airbag 53. The image acquisition mechanism 5 is a common image acquisition device in the prior art, which is used to collect and process photos of the pipeline connection end.
[0029] See also Figure 3 and Figure 4 The top of the image acquisition mechanism 5 is equipped with a limiting sliding block 52, and the two sides of the limiting sliding block 52 are respectively connected to the first airbag 53 and the second airbag 54. The outside of the first airbag 53 is connected to the corrugated hose 42, and the other end of the corrugated hose 42 is connected to the output end of the air pump 4. The outside of the second airbag 54 is connected to the first one-way valve tube 55, and the bottom of the second airbag 54 is connected to the telescopic hose 56. The other end of the telescopic hose 56 is connected to the second one-way valve tube 57, and the second one-way valve tube 57 is connected to the image acquisition mechanism 5.
[0030] The limiting sliding block 52 can guide the image acquisition mechanism 5 so that the image acquisition mechanism 5 moves in an arc at the bottom of the arc-shaped guide track 1, thereby realizing the detection of the outside of the connection end. The first airbag 53 and the second airbag 54 are both equipped with gas. The first airbag 53 can be extended and retracted by the gas drive, and then drive the limiting sliding block 52 and the image acquisition mechanism 5 to move. When the second airbag 54 is squeezed, the internal gas can be discharged to clean the joint of the image acquisition mechanism 5. The second one-way valve tube 57 and the first one-way valve tube 55 are common one-way air intake and exhaust devices in the prior art, and the telescopic hose 56 is elastic and can be extended and retracted.
[0031] The noise collection mechanism 31 is connected to the signal transmission terminal 3 through a line, and the outside of the noise collection mechanism 31 is equipped with a sponge soft cover, and the outside of the noise collection mechanism 31 is adjusted with a rubber protective cover. The noise collection mechanism 31 is a common microphone device in the prior art, which can collect the noise inside the pipe and transmit the noise signal to the model host 33 through the line. The sponge soft cover can reduce the dull sound or low-frequency interference caused by sound vibration and improve the sound clarity. The rubber protective cover can protect the noise collection mechanism 31 to avoid damage to the noise collection mechanism 31 caused by impact and improve the service life of the noise collection mechanism 31.
[0032] The bottom of the air pump 4 is assembled with a limiting bracket 41 by bolts, and the left side of the limiting bracket 41 is connected to the outside of the noise separation processing equipment 32 by bolts. The limiting bracket 41 can support and fix the air pump 4, thereby improving the stability of the air pump 4 during operation. At the same time, the installation method of the bolts makes it convenient to disassemble and maintain the air pump 4 during use, thereby improving the overall utilization efficiency of the device.
[0033] The inner cavity of the sliding track block 21 is equipped with a track wheel, and the inner cavity of the limiting track groove 22 is provided with a slide rail that matches the track wheel. The outside of the sliding track block 21 is connected to a servo motor 34. The servo motor 34 is a common reduction motor in the prior art, and the noise separation processing equipment 32 is controlled by the control terminal 2. The servo motor 34 can drive the track wheel to rotate, and then make the track wheel move inside the slide rail, and finally drive the sliding track block 21 to move inside the limiting track groove 22, thereby realizing comprehensive monitoring of the outside of the pipeline.
[0034] The ends of the first airbag 53 and the second airbag 54 away from the limiting sliding block 52 are respectively connected to the inner cavity of the arc guide track 1 through adhesive. The inner cavity of the second airbag 54 is equipped with a spring, and the inner cavity of the second airbag 54 is embedded with memory foam. The positions of the first airbag 53 and the second airbag 54 can be fixed by the adhesive connection, so that one end of the first airbag 53 and the second airbag 54 is in a fixed state, and the other end can drive the image acquisition mechanism 5 to move. The cooperation of the spring and the memory foam can make the second airbag 54 automatically suck the external gas into the interior of the second airbag 54 when it returns to its original position, so that the second airbag 54 can be used later.
[0035] The adaptive arc drive system constructed by the air pump 4, the corrugated hose 42, the first airbag 53 and the limiting sliding block 52 realizes the intelligent and dynamic motion control of the image acquisition mechanism 5 during the monitoring process of the pipeline connection end, significantly improving the monitoring efficiency and data integrity under complex working conditions. When the image acquisition mechanism 5 performs the temperature and picture synchronization monitoring task, the air pump 4 inflates or deflates the first airbag 53 in a direction through the corrugated hose 42 according to the preset pressure threshold or environmental feedback signal, driving the limiting sliding block 52 to perform high-precision, low-friction arc sliding along the preset track, thereby driving the lens module of the image acquisition mechanism 5 to cover the curved area of the pipeline connection end with a nonlinear trajectory.
[0036] A sliding groove is provided in the inner cavity of the arc-shaped guide rail 1, and a sliding block that cooperates with the sliding groove is provided on the top of the limit sliding block 52. The sliding groove enables the limit sliding block 52 to slide at the bottom of the arc-shaped guide rail 1, so that the image acquisition mechanism 5 can perform comprehensive imaging and temperature monitoring of the connection end of the pipeline, thereby improving the accuracy of the pipeline monitoring data.
[0037] The bottom of the image acquisition mechanism 5 is equipped with a fill light 51 by means of bolts. The imaging lens of the image acquisition mechanism 5 is located directly below the image acquisition mechanism 5, and the exhaust hole of the second one-way valve tube 57 is located outside the imaging lens. The fill light 51 can assist the imaging lens of the image acquisition mechanism 5, thereby improving the accuracy of the monitoring data of the pipeline connection end of the image acquisition mechanism 5. The second one-way valve tube 57 can generate airflow to clean the imaging lens of the image acquisition mechanism 5 to prevent dust from adhering to the outside of the imaging lens.
[0038] The addition of a self-cleaning airflow generation module, consisting of a second airbag 54, a first one-way valve tube 55, a telescopic hose 56, and a second one-way valve tube 57, enables intelligent, real-time cleaning and protection of the imaging lens at the base of the image acquisition mechanism 5. When the image acquisition mechanism 5 performs arc-shaped motion monitoring along the pipe connection, the second airbag 54 undergoes periodic deformation in response to the dynamic displacement of the mechanical structure. Through the directional guidance of the first and second one-way valve tubes 55 and 57, a unidirectional airflow is generated within the telescopic hose 56. This airflow precisely impacts the surface of the imaging lens, creating a directional, high-frequency shockwave that effectively dislodges and disperses micron-sized dust particles adhering to the lens surface, thus avoiding the optical distortion, scattering interference, and reduced light transmittance associated with lens contamination in traditional monitoring equipment.
[0039] See also Figure 5 A method for early warning of intelligent detection risks of ultra-high concrete pumping explosion-proof pipes is provided. The method is based on the above-mentioned intelligent detection device for ultra-high concrete pumping explosion-proof pipes and includes: S1: Data Collection The signal transmission terminal 3 and the noise collection mechanism 31 cooperate to obtain the noise spectrum of the fluid in the pipeline and record the vibration sensor data inside the signal transmission terminal 3. At the same time, the image collection mechanism 5 monitors the temperature and real-time image of the connection end of the pipeline. S2: Feature Extraction The noise separation processing device 32 uses wavelet transform to separate S1: the low-frequency impact component and the high-frequency friction component in the noise signal inside the noise spectrum obtained during data acquisition; S3: Pattern Recognition The LSTM neural network model trained in the model host 33 is used in combination with the historical fault database to process the low-frequency impact component and high-frequency friction component in S2: feature extraction and the image and temperature data in S1: data acquisition to determine the status of the pipeline and the pipeline connection end; S4: Linkage Control When S3: pattern recognition determines that the pipeline is in a blocked state, the signal transmission terminal 3 automatically shuts down the external pump body through the communication module and issues an audible and visual alarm. When S3: pattern recognition determines that the pipeline connection end is in a leaking state, the signal transmission terminal 3 reduces the pump body power through the communication module and issues an audible and visual alarm.
[0040] S1: During data acquisition, the signal transmission terminal 3 is driven by the cooperation of the servo motor 34 and the sliding track block 21 to perform reciprocating motion in the inner cavity of the limiting track groove 22 to obtain the noise spectrum of the fluid in the pipeline.
[0041] S1: In the data acquisition signal transmission terminal 3, the air pump 4 controls the first airbag 53 to perform telescopic movement through airflow, and then drives the limiting sliding block 52 to reciprocate along the bottom of the arc-shaped guide track 1, thereby monitoring the temperature and real-time image of the outside of the pipeline connection end.
[0042] This solution first fixes the limiting track groove 22 to the outside of the wall through an external fixing groove, so that the limiting track groove 22 is located at both ends of the pipeline and remains parallel to the pipeline. The servo motor 34 is started to drive the sliding track block 21 to slide in the inner cavity of the limiting track groove 22, and then drives the signal transmission terminal 3 to move. The noise spectrum of the fluid in the pipeline is obtained through the noise collection mechanism 31, and the temperature and real-time image of the connecting end of the pipeline are monitored through the image collection mechanism 5. The low-frequency impact component and high-frequency friction component in the noise signal inside the noise spectrum are obtained through the noise separation processing device 32. The data obtained by the noise separation processing device 32 and the image collection mechanism 5 are judged and processed using the LSTM neural network model trained inside the model host 33. When the pipeline is blocked or leaking, the signal transmission terminal 3 reduces the pump power through the communication module and issues an audible and visual alarm.
[0043] At the same time, when the image acquisition mechanism 5 and the signal transmission terminal 3 monitor the outside of the pipeline, the air pump 4 is started to input gas into the inner cavity of the first airbag 53 through the corrugated hose 42, so that the first airbag 53 is expanded and contracted, and then the limiting sliding block 52 is pulled to slide in the inner cavity of the arc guide track 1, thereby driving the image acquisition mechanism 5 to comprehensively monitor the connecting end of the pipeline, and when the limiting sliding block 52 moves, it squeezes the second airbag 54, and the gas inside the second airbag 54 is sprayed on the bottom of the image acquisition mechanism 5 through the cooperation of the telescopic hose 56 and the second one-way valve tube 57, so as to clean the imaging lens of the image acquisition mechanism 5 and prevent dust from adhering to the bottom of the imaging lens. When the second airbag 54 returns to its position, the external gas is sucked into the interior of the second airbag 54 through the first one-way valve tube 55 for standby use.
[0044] By adding a sliding track block 21 and a limiting track groove 22, the image acquisition mechanism 5, the signal transmission terminal 3 and the control terminal 2 are driven to comprehensively monitor the noise, image and temperature of the outside of the pipeline. In conjunction with S1: data acquisition, S2: feature extraction, S3: pattern recognition and S4: linkage control, real-time online monitoring of the pipeline status is achieved. Through multimodal data fusion, the accuracy of the data is increased, and the automated early warning mechanism can reduce the economic losses and safety risks caused by pipe burst accidents.
[0045] By adding the air pump 4, the corrugated hose 42, the first airbag 53 and the limiting sliding block 52, when the image acquisition mechanism 5 monitors the temperature and the picture of the pipeline connection end, the image acquisition mechanism 5 is automatically driven to move in an arc, thereby comprehensively monitoring the outside of the connection end, improving the monitoring effect of the pipeline connection end, and avoiding incomplete detection data that reduces the monitoring efficiency of the pipeline.
[0046] By adding the second airbag 54, the first one-way valve tube 55, the telescopic hose 56 and the second one-way valve tube 57, when the image acquisition mechanism 5 performs arc motion monitoring on the pipeline connection end, airflow is automatically generated to clean the imaging lens at the bottom of the image acquisition mechanism 5, thereby preventing fine dust from adhering to the outside of the imaging lens, thereby affecting the monitoring data of the imaging lens on the connection end, thereby improving the accuracy of pipeline detection.
[0047] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.
[0048] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. An intelligent detection device for concrete super-high pumping explosion-proof pipes, comprising an arc-shaped guide rail (1), a control terminal (2) and a signal transmission terminal (3), wherein the arc-shaped guide rail (1) is assembled on top of the control terminal (2) and the signal transmission terminal (3), and is characterized in that: The bottoms of the control terminal (2) and the signal transmission terminal (3) are both equipped with a sliding track block (21), the bottom of the sliding track block (21) is slidably connected to a limited track groove (22), the right side of the signal transmission terminal (3) is evenly distributed with a noise collection mechanism (31), the front of the signal transmission terminal (3) is equipped with a model host (33), the bottom left side of the signal transmission terminal (3) is equipped with a noise separation processing device (32), and the interior of the signal transmission terminal (3) is equipped with a vibration sensor and a communication module, the communication module is connected to the control module via an optical fiber signal, the left side of the signal transmission terminal (3) is connected to an air pump (4), and the inner cavity of the arc-shaped guide track (1) is equipped with an image collection mechanism (5); The image acquisition mechanism (5) is equipped with a limit slide block (52) on the top, and the two sides of the limit slide block (52) are respectively connected to a first airbag (53) and a second airbag (54). The outside of the first airbag (53) is connected to a corrugated hose (42), and the other end of the corrugated hose (42) is connected to the output end of the air pump (4). The outside of the second airbag (54) is connected to a first one-way valve tube (55). The bottom of the second airbag (54) is connected to a telescopic hose (56), and the other end of the telescopic hose (56) is connected to a second one-way valve tube (57). The second one-way valve tube (57) is connected to the image acquisition mechanism (5).
2. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1 is characterized in that: The noise collection mechanism (31) is connected to the signal transmission terminal (3) via a line, and the outside of the noise collection mechanism (31) is equipped with a sponge soft cover, and the outside of the noise collection mechanism (31) is adjusted with a rubber protective cover.
3. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1 is characterized in that: The bottom of the air pump (4) is assembled with a limiting bracket (41) via bolts, and the left side of the limiting bracket (41) is connected to the outside of the noise separation processing device (32) via bolts.
4. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1 is characterized in that: The inner cavity of the sliding track block (21) is equipped with a track wheel, and the inner cavity of the limiting track groove (22) is provided with a slide rail that matches the track wheel. The outside of the sliding track block (21) is connected to a servo motor (34).
5. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1 is characterized in that: The ends of the first airbag (53) and the second airbag (54) away from the limiting sliding block (52) are respectively connected to the inner cavity of the arc-shaped guide track (1) through adhesive, and the inner cavity of the second airbag (54) is equipped with a spring, and the inner cavity of the second airbag (54) is embedded with memory foam.
6. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1, characterized in that: The inner cavity of the arc-shaped guide rail (1) is provided with a sliding groove, and the top of the position-limiting sliding block (52) is provided with a sliding block that matches the sliding groove.
7. The intelligent detection device for explosion-proof pipes for ultra-high concrete pumping according to claim 1 is characterized in that: The bottom of the image acquisition mechanism (5) is equipped with a fill light (51) via bolts, the imaging lens of the image acquisition mechanism (5) is located directly below the image acquisition mechanism (5), and the exhaust hole of the second one-way valve tube (57) is located outside the imaging lens.
8. A method for intelligent detection and risk warning of ultra-high concrete pumping explosion-proof pipes, based on the intelligent detection device for ultra-high concrete pumping explosion-proof pipes according to any one of claims 1 to 7, characterized in that: include: S1: Data Collection The noise spectrum of the fluid in the pipeline is obtained by cooperating with the signal transmission terminal (3) and the noise collection mechanism (31), and the vibration sensor data inside the signal transmission terminal (3) is recorded. At the same time, the image collection mechanism (5) monitors the temperature and real-time image of the connection end of the pipeline; S2: Feature Extraction The noise separation processing device (32) uses wavelet transform to separate S1: low-frequency impact components and high-frequency friction components in the noise signal within the noise spectrum obtained during data acquisition; S3: Pattern Recognition The LSTM neural network model trained in the model host (33) is used in combination with the historical fault database to process the low-frequency impact component and high-frequency friction component in S2: feature extraction and the image and temperature data in S1: data acquisition to determine the status of the pipeline and the pipeline connection end; S4: Linkage Control When S3: the pattern recognition determines that the pipeline is in a blocked state, the signal transmission terminal (3) automatically shuts down the external pump body through the communication module and issues an audible and visual alarm. When S3: the pattern recognition determines that the pipeline connection end is in a leaking state, the signal transmission terminal (3) reduces the pump body power through the communication module and issues an audible and visual alarm.
9. The method for intelligent detection and risk warning of ultra-high concrete pumping explosion-proof pipes according to claim 8, characterized in that: In the data acquisition step S1, the signal transmission terminal (3) is driven by the cooperation of the servo motor (34) and the sliding track block (21), and reciprocates in the inner cavity of the limiting track groove (22) to obtain the noise spectrum of the fluid in the pipeline.
10. The method for intelligent detection and risk warning of ultra-high concrete pumping explosion-proof pipes according to claim 8, characterized in that: In the S1: data acquisition signal transmission terminal (3), the air pump (4) controls the first airbag (53) to perform telescopic movement through airflow, and then drives the limit sliding block (52) to perform reciprocating movement along the bottom of the arc-shaped guide track (1), thereby monitoring the temperature and real-time image of the outside of the pipeline connection end.