Damage electric leakage early warning system based on network communication
Through the damage leakage warning system based on network communication at the construction site, using AI analysis model and BP neural network to identify the contact between cables and steel bars, the problem of lack of high-precision identification schemes in the existing technology is solved, and the construction site is realized Intelligent identification and early warning of high-risk scenarios for cable dragging in the construction area.
Patent Information
- Application Number
- CN202411420218.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-04-02
- Filing Date
- 2024-10-12
- Publication Date
- 2024-12-31
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
There is a lack of intelligent identification scheme in the existing technology for high-risk scenarios where the cables on the flat vibrator cables are dragged onto the steel bars on construction sites, and it is impossible to identify the contact between the cables and steel bars with high accuracy, resulting in the inability to effectively warn of the risk of breakage and leakage.
Using a damage leakage warning system based on network communication, the image blocking characteristics of flat vibrator cables and steel bars are detected through scene judgment equipment, surveillance camera mechanism, mean filtering equipment, enhancement operation equipment, guide filtering equipment and AI analysis model, and analyzed the image blocking characteristics of flat vibrator cables and steel bars. Depth of field value and coordinate value, use the BP neural network model to identify the contact between cables and steel bars, and set up a network warning mechanism in the system to upload warning signals in real time.
It realizes intelligent identification of the contact between the flat vibrator cables and steel bars in the construction area of the construction site, and promptly issues early warning signals, avoids the risk of damage and leakage caused by dragging the cable, and provides a high-precision identification mechanism.
Abstract
Description
Technical Field
[0001] The invention relates to the field of neural networks, and in particular to a damage and leakage early warning system based on network communication. Background Art
[0002] Artificial neural networks do not need to determine the mathematical equations of the mapping relationship between input and output in advance. They only learn certain rules through their own training and get the result closest to the expected output value when the input value is given. As an intelligent information processing system, the core of artificial neural networks to realize their functions is the algorithm. BP neural network is a multi-layer feedforward network trained by error back propagation. Its algorithm is called BP algorithm. Its basic idea is gradient descent method, which uses gradient search technology to minimize the mean square error between the actual output value and the expected output value of the network.
[0003] The basic BP algorithm includes two processes: forward propagation of signals and back propagation of errors. That is, the calculation of error output is carried out from input to output, while the adjustment of weights and thresholds is carried out from output to input. During forward propagation, the input signal acts on the output node through the hidden layer, and after nonlinear transformation, the output signal is generated. If the actual output does not match the expected output, the error back propagation process is entered. Error back propagation is to propagate the output error through the hidden layer to the input layer layer by layer, and distribute the error to all units in each layer, and use the error signal obtained from each layer as the basis for adjusting the weights of each unit. By adjusting the connection strength between the input node and the hidden layer node, the connection strength between the hidden layer node and the output node, and the threshold, the error is reduced along the gradient direction. After repeated learning and training, the network parameters corresponding to the minimum error are determined, and the training stops. At this time, the trained neural network can process the nonlinearly transformed information with the minimum output error for similar sample input information.
[0004] However, there are still some specific application areas in the prior art that require the use of BP neural networks to expand corresponding solutions. For example, it is expected to use BP neural networks to perform intelligent identification of whether there is a high-risk scenario in the construction area of a construction site where the cable of a flat vibrator is dragged on steel bars. Obviously, the prior art lacks the above-mentioned targeted and high-precision identification solution. Summary of the invention
[0005] In order to solve the technical problems in the prior art, the present invention provides a damage leakage warning system based on network communication, which can detect the image block occupied by the flat plate vibrator cable in the received guide filter picture as the first image block based on the color imaging characteristics of the flat plate vibrator cable, obtain the various component pixels of the first image block, detect the image block occupied by the steel bar in the received guide filter picture as the second image block based on the color imaging characteristics of the steel bar, obtain the various component pixels of the second image block, analyze the overall depth of field value of the first image block and the overall depth of field value of the second image block, so as to provide key multiple basic information for subsequent intelligent identification, and also adopt an AI analysis model based on the various horizontal coordinate values and the various vertical coordinate values corresponding to the various component pixels of the first image block, the various horizontal coordinate values and the various vertical coordinate values corresponding to the various component pixels of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block to intelligently identify whether the flat plate vibrator cable is in contact with the steel bar, thereby completing the intelligent identification of whether there is a high-risk scene in which the flat plate vibrator cable is dragged on the steel bar in the construction area of the construction site.
[0006] According to the present invention, a damage and leakage warning system based on network communication is provided, and the system comprises: A scene judgment device is arranged in an instrument box of a construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state; A monitoring camera mechanism is arranged above the construction area of the construction site and connected to the scene judgment device, and is used to perform a camera action on the construction area upon receiving the first judgment signal, so as to obtain a picture of the construction area corresponding to the current moment; A mean filter device, which is disposed in an instrument box at the construction site and connected to the monitoring camera mechanism, is used to perform harmonic mean filtering on the received construction area picture to obtain and output a corresponding mean filtered picture; an enhancement operation device, connected to the mean filtering device, for performing a picture content enhancement operation based on histogram equalization processing on the received mean filtering picture, so as to obtain and output a corresponding enhancement operation picture; A guided filtering device, connected to the enhanced operation device, for performing guided filtering processing on the received enhanced operation picture to obtain and output a corresponding guided filtering picture; A model application mechanism is arranged in an instrument box at a construction site and connected to the guide filtering device. Based on the color imaging characteristics of the flat plate vibrator cable, an image block occupied by the flat plate vibrator cable in the received guide filtering picture is detected as a first image block, and each component pixel of the first image block is obtained. Based on the color imaging characteristics of the steel bar, an image block occupied by the steel bar in the received guide filtering picture is detected as a second image block, and each component pixel of the second image block is obtained. The overall depth of field value of the first image block and the overall depth of field value of the second image block are analyzed, and an AI analysis model is used to intelligently identify whether the flat plate vibrator cable is in contact with the steel bar based on each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the first image block, each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block; A network early warning mechanism is connected to the model application mechanism, and is used to wirelessly upload the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is in contact with the steel bar, and is also used to stop wirelessly uploading the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is not in contact with the steel bar; Among them, the AI analysis model is used to intelligently identify whether the flat vibrator cable is in contact with the steel bar based on the horizontal coordinate values and the vertical coordinate values corresponding to the respective pixel points of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective pixel points of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block, including: the AI analysis model is a BP neural network after completing a set number of learning actions, and the value of the set number is inversely correlated with the signal-to-noise ratio of the guided filtering picture.
[0007] Therefore, the present invention has at least the following four important invention points: First: based on the color imaging characteristics of the flat vibrator cable, the image block occupied by the flat vibrator cable in the received guide filter image is detected as the first image block, and each component pixel of the first image block is obtained; based on the color imaging characteristics of the steel bar, the image block occupied by the steel bar in the received guide filter image is detected as the second image block, and each component pixel of the second image block is obtained, and the overall depth of field value of the first image block and the overall depth of field value of the second image block are analyzed, so as to provide multiple key basic information for subsequent intelligent identification; Second: an AI analysis model is used to intelligently identify whether the flat vibrator cable is in contact with the steel bars based on the horizontal coordinate values and vertical coordinate values corresponding to the pixels of the first image block, the horizontal coordinate values and vertical coordinate values corresponding to the pixels of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block, thereby completing the intelligent identification of whether there is a high-risk scene where the flat vibrator cable is dragged on the steel bars in the construction area of the construction site; Third: a network early warning mechanism is used to wirelessly upload the early warning signal corresponding to the damage and leakage caused by dragging the flat plate vibrator cable on the steel bar to the remote big data management node when the flat plate vibrator cable is in contact with the steel bar, and to stop wirelessly uploading the early warning signal corresponding to the damage and leakage caused by dragging the flat plate vibrator cable on the steel bar to the remote big data management node when the flat plate vibrator cable is not in contact with the steel bar; Fourthly: the AI analysis model used to perform intelligent identification is a BP neural network after completing a set number of learning actions, and the value of the set number is inversely correlated with the signal-to-noise ratio of the guided filtering image, thereby realizing a customized model design of the AI analysis model. DETAILED DESCRIPTION
[0008] The following is a detailed description of an embodiment of the damage and leakage warning system based on network communication of the present invention.
[0009] Embodiment 1
[0010] According to the embodiment of the flat plate vibrator cable of the present invention, a network communication-based damage and leakage warning system is shown, and the system includes: A scene judgment device is arranged in an instrument box of a construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state; Specifically, the scene judgment device is arranged in the instrument box of the construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state. The scene judgment device is arranged in the instrument box of the construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state; A monitoring camera mechanism is arranged above the construction area of the construction site and connected to the scene judgment device, and is used to perform a camera action on the construction area upon receiving the first judgment signal, so as to obtain a picture of the construction area corresponding to the current moment; A mean filter device, which is disposed in an instrument box at the construction site and connected to the monitoring camera mechanism, is used to perform harmonic mean filtering on the received construction area picture to obtain and output a corresponding mean filtered picture; an enhancement operation device, connected to the mean filtering device, for performing a picture content enhancement operation based on histogram equalization processing on the received mean filtering picture, so as to obtain and output a corresponding enhancement operation picture; A guided filtering device, connected to the enhanced operation device, for performing guided filtering processing on the received enhanced operation picture to obtain and output a corresponding guided filtering picture; A model application mechanism is arranged in an instrument box at a construction site and connected to the guide filtering device. Based on the color imaging characteristics of the flat plate vibrator cable, an image block occupied by the flat plate vibrator cable in the received guide filtering picture is detected as a first image block, and each component pixel of the first image block is obtained. Based on the color imaging characteristics of the steel bar, an image block occupied by the steel bar in the received guide filtering picture is detected as a second image block, and each component pixel of the second image block is obtained. The overall depth of field value of the first image block and the overall depth of field value of the second image block are analyzed, and an AI analysis model is used to intelligently identify whether the flat plate vibrator cable is in contact with the steel bar based on each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the first image block, each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block; A network early warning mechanism is connected to the model application mechanism, and is used to wirelessly upload the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is in contact with the steel bar, and is also used to stop wirelessly uploading the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is not in contact with the steel bar; Among them, the AI analysis model is used to intelligently identify whether the flat vibrator cable is in contact with the steel bar based on the horizontal coordinate values and vertical coordinate values corresponding to the components of the first image block, the horizontal coordinate values and vertical coordinate values corresponding to the components of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block, including: the AI analysis model is a BP neural network after completing a set number of learning actions, and the value of the set number is inversely correlated with the signal-to-noise ratio of the guided filtering picture; Among them, using the AI analysis model to intelligently identify whether the flat vibrator cable is in contact with the steel bar based on the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block also includes: synchronously inputting the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block into the AI analysis model, and running the AI analysis model to obtain status mark data output by the AI analysis model indicating whether the flat vibrator cable is in contact with the steel bar.
[0011] Embodiment 2
[0012] According to the steel bar embodiment of the present invention, the damage and leakage warning system based on network communication is shown. Compared with the flat vibrator cable embodiment, the damage and leakage warning system based on network communication shown in the steel bar embodiment of the present invention can also include: an altitude sensor, connected to the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism, respectively, and used to measure the current real-time altitude values of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism respectively; Wherein, the height sensor device is respectively connected with the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, and is used to respectively measure the current real-time height values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, including: the height sensor device includes a plurality of height measurement units, which are respectively connected with the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, so as to complete the measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism; Wherein, the height sensor device includes a plurality of height measurement units, which are respectively connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism to complete the respective measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism, including: the plurality of height measurement units are a plurality of height sensors, which are respectively connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism to complete the respective measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism; Wherein, the plurality of height measurement units are a plurality of height sensors, which are used to be connected to the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism respectively, so as to complete the respective measurement of the current real-time height values of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism respectively, including: the structures of the plurality of height sensors are the same; Among them, the multiple height measurement units are multiple height sensors, which are used to be connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism respectively, so as to complete the respective measurements of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism, and also include: the multiple height sensors have the same height measurement upper limit value and height measurement lower limit value.
[0013] Embodiment 3
[0014] According to the third embodiment of the present invention, a network communication-based damage and leakage warning system is shown. Compared with the flat vibrator cable embodiment, the network communication-based damage and leakage warning system shown in the embodiment of the present invention may also include: a playback processing device, connected to the plurality of altitude sensors of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism, respectively, for synchronously playing the current real-time altitude values of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism; Wherein, the playback processing device is respectively connected to the plurality of height sensors of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism, and is used to synchronously play the current real-time height values of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism respectively, including: the playback processing device is a character display device; Among them, the playback processing device is respectively connected to multiple height sensors of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, and is used to synchronously play the current real-time height values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, including: the playback processing device is a voice playback device.
[0015] In addition, in the damage and leakage warning system based on network communication, the scene judgment device is arranged in the instrument box of the construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state, including: the scene judgment device judges whether the construction site is currently in a construction state based on whether the current moment is within the construction time segment of the construction site; And wherein, the monitoring camera mechanism is also used to stop performing the camera operation on the construction area when receiving the second judgment signal.
[0016] The network communication-based damage and leakage warning system of the present invention can address the technical problem in the prior art of the lack of an intelligent identification mechanism for high-risk scenarios in which a flat vibrator cable is dragged on steel bars. An AI analysis model with a customized structural design can be used to intelligently identify whether the flat vibrator cable is in contact with the steel bars based on various targeted basic data selected at the construction site, thereby completing an intelligent identification of whether there is a high-risk scenario in which a flat vibrator cable is dragged on steel bars in the construction area of the construction site.
[0017] While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. The scope of the following claims is to be accorded the broadest interpretation so as to encompass all modifications, equivalent structures and functions.
Claims
1. A damage and leakage warning system based on network communication, characterized in that: The system comprises: A scene judgment device is arranged in an instrument box of a construction site, and is used to send a first judgment signal when judging that the construction site is currently in a construction state, and is also used to send a second judgment signal when judging that the construction site is currently in a non-construction state; A monitoring camera mechanism is arranged above the construction area of the construction site and connected to the scene judgment device, and is used to perform a camera action on the construction area upon receiving the first judgment signal, so as to obtain a picture of the construction area corresponding to the current moment; A mean filter device, which is disposed in an instrument box at the construction site and connected to the monitoring camera mechanism, is used to perform harmonic mean filtering on the received construction area picture to obtain and output a corresponding mean filtered picture; an enhancement operation device, connected to the mean filtering device, for performing a picture content enhancement operation based on histogram equalization processing on the received mean filtering picture, so as to obtain and output a corresponding enhancement operation picture; A guided filtering device, connected to the enhanced operation device, for performing guided filtering processing on the received enhanced operation picture to obtain and output a corresponding guided filtering picture; A model application mechanism is arranged in an instrument box at a construction site and connected to the guide filtering device. Based on the color imaging characteristics of the flat plate vibrator cable, an image block occupied by the flat plate vibrator cable in the received guide filtering picture is detected as a first image block, and each component pixel of the first image block is obtained. Based on the color imaging characteristics of the steel bar, an image block occupied by the steel bar in the received guide filtering picture is detected as a second image block, and each component pixel of the second image block is obtained. The overall depth of field value of the first image block and the overall depth of field value of the second image block are analyzed, and an AI analysis model is used to intelligently identify whether the flat plate vibrator cable is in contact with the steel bar based on each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the first image block, each horizontal coordinate value and each vertical coordinate value corresponding to each component pixel of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block; A network early warning mechanism is connected to the model application mechanism, and is used to wirelessly upload the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is in contact with the steel bar, and is also used to stop wirelessly uploading the early warning signal corresponding to the damage and leakage caused by the flat plate vibrator cable being dragged on the steel bar to the remote big data management node when the flat plate vibrator cable is not in contact with the steel bar; Among them, the AI analysis model is used to intelligently identify whether the flat vibrator cable is in contact with the steel bar based on the horizontal coordinate values and the vertical coordinate values corresponding to the respective pixel points of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective pixel points of the second image block, the overall depth of field value of the first image block and the overall depth of field value of the second image block, including: the AI analysis model is a BP neural network after completing a set number of learning actions, and the value of the set number is inversely correlated with the signal-to-noise ratio of the guided filtering picture.
2. The damage and leakage warning system based on network communication as claimed in claim 1, characterized in that: Using an AI analysis model to intelligently identify whether the flat vibrator cable is in contact with the steel bar based on the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block also includes: synchronously inputting the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the first image block, the horizontal coordinate values and the vertical coordinate values corresponding to the respective component pixels of the second image block, the overall depth of field value of the first image block, and the overall depth of field value of the second image block into the AI analysis model, and running the AI analysis model to obtain status mark data output by the AI analysis model indicating whether the flat vibrator cable is in contact with the steel bar.
3. The network communication-based damage and leakage warning system according to claim 2, characterized in that: The system further comprises: an altitude sensor, connected to the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism, respectively, and used to measure the current real-time altitude values of the mean filter device, the enhanced operation device, the guide filter device and the model application mechanism respectively; Among them, the altitude sensor device is respectively connected with the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, and is used to respectively measure the current real-time altitude values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, including: the altitude sensor device includes multiple altitude measurement units, which are respectively connected with the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism to complete the measurement of the current real-time altitude values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism.
4. The damage and leakage warning system based on network communication as claimed in claim 3, characterized in that: The height sensor device includes a plurality of height measurement units, which are used to be respectively connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism to complete the respective measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism, including: the plurality of height measurement units are a plurality of height sensors, which are used to be respectively connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism to complete the respective measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism.
5. The damage and leakage warning system based on network communication as claimed in claim 4, characterized in that: The multiple height measurement units are multiple height sensors, which are used to be connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism respectively, so as to complete the respective measurements of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism, including: the structures of the multiple height sensors are the same.
6. The damage and leakage warning system based on network communication as claimed in claim 5, characterized in that: The multiple height measurement units are multiple height sensors, which are used to be connected to the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism respectively to complete the measurement of the current real-time height values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism respectively, and also include: the multiple height sensors have the same height measurement upper limit value and height measurement lower limit value.
7. The network communication-based damage and leakage warning system according to any one of claims 3 to 6, characterized in that: The system further comprises: The playback processing device is respectively connected to multiple altitude sensors of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism, and is used to synchronously play the current real-time altitude values of the mean filtering device, the enhanced operation device, the guided filtering device and the model application mechanism.
8. The network communication-based damage and leakage warning system according to claim 7, characterized in that: The playback processing device is respectively connected to multiple height sensors of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, and is used to synchronously play the current real-time height values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism. The playback processing device is a character display device.
9. The damage and leakage warning system based on network communication as claimed in claim 7, characterized in that: The playback processing device is respectively connected to multiple height sensors of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, and is used to synchronously play the current real-time height values of the mean filtering device, the enhanced operation device, the guide filtering device and the model application mechanism, including: the playback processing device is a voice playback device.