Visual monitoring method, system, equipment and medium for intelligent management of construction waste

Abstract

The present invention relates to the technical field of monitoring the disposal and utilization of construction waste, and in particular to a method, system, equipment and medium for visual monitoring of intelligent management of construction waste. The method comprises: S1, using 3D modeling technology to construct a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste; S2, acquiring the production equipment data for the disposal and utilization of construction waste in real time and sending it to the industrial Ethernet platform; S3, processing the received production equipment data for the disposal and utilization of construction waste through the industrial Ethernet platform; S4, mapping the processed production equipment data for the disposal and utilization of construction waste to the corresponding twin model through a visual interactive interface, and visually monitoring the disposal and utilization of construction waste. The present invention can more intuitively perform visual monitoring of the production process of the disposal and utilization of construction waste, has high detection efficiency, and reduces implementation costs.

Description

Technical Field

[0001] The present invention relates to the technical field of construction waste disposal and utilization monitoring, and in particular to a construction waste intelligent management and visualization monitoring method, equipment and medium thereof. Background Art

[0002] Construction waste refers to abandoned soil, materials, and other waste generated during the construction, renovation, expansion, and demolition of various buildings, structures, and pipelines by construction units and contractors, as well as during the renovation of homes by residents. Generally, construction waste can be divided into engineering waste, demolition waste, renovation waste, engineering mud, and engineering slag. The disposal and utilization of the five major types of construction waste can be divided into in-situ treatment and utilization and ex-situ treatment and utilization. If conditions permit on-site, engineering waste and demolition waste are treated in-situ, generally using a mobile crushing production line. If conditions are not available on-site, they must be taken to a terminal resource recycling plant, which is known as ex-situ treatment. When in-situ or ex-situ treatment equipment malfunctions, causing the production line to shut down, this impacts waste treatment and utilization plans. Currently, monitoring of in-situ or ex-situ treatment equipment during production relies on manual inspections, which is inefficient and costly, prone to blind spots and errors, and high monitoring and maintenance costs. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0004] To this end, the present invention provides a visual monitoring method for intelligent management of construction waste, which can more intuitively monitor the disposal and utilization production process of construction waste, has high detection efficiency, and reduces implementation costs.

[0005] According to an embodiment of the present invention, a method for intelligent management and visualization monitoring of construction waste includes the following steps:

[0006] S1, through 3D modeling technology, build a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste;

[0007] S2, real-time acquisition of production equipment data on the disposal and utilization of construction waste, and sending it to the industrial Ethernet platform; the data on the production equipment for the disposal and utilization of construction waste includes equipment status data, equipment environment data, and data from the waste treatment or recycling production process;

[0008] S3, processes the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform;

[0009] S4, the production equipment data of the disposal and utilization of processed construction waste will be mapped to the corresponding twin model to conduct visual monitoring of the disposal and utilization of construction waste.

[0010] The beneficial effect of the present invention is that, by constructing a twin model, the production equipment data of the disposal and utilization of processed construction waste will be mapped on the corresponding twin model for visual monitoring, without relying on manual inspections, and the production process of the disposal and utilization of construction waste can be monitored more intuitively, that is, the production process of the disposal and utilization of construction waste can be visualized, and the reality and virtual mapping can be synchronized, thereby improving monitoring efficiency, reducing implementation costs, and having a high level of intelligence.

[0011] According to one embodiment of the present invention, step S1 specifically includes the following steps:

[0012] S11, based on the industrial model of the production equipment for the disposal and utilization of construction waste, construct a 3D model of the intermediate model of the production equipment for the disposal and utilization of construction waste at a ratio of 1:1;

[0013] S12, performing dynamic simulation on the 3D model of the middle mold so that its operation is consistent with the operation of the production equipment for disposal and utilization of construction waste;

[0014] S13, optimize and create a high-precision model based on the 3D model of the medium model;

[0015] S14, creating a simplified low-precision model based on the high-precision model;

[0016] S15, unfolding the UV coordinates of the low-precision model onto a 2D plane;

[0017] S16, using the correspondence between the high-precision model and the low-precision model, bakes the detailed information of the high-precision model into the low-precision model, performs texture design on the low-precision model, and obtains the corresponding twin model.

[0018] According to one embodiment of the present invention, in step S3, data processing includes at least one of the following processing methods: filtering, normalization, missing data processing, feature extraction and anomaly detection, and adopts the principal component analysis method PCA to reduce the dimension of multidimensional data and retain the correlation of the original data.

[0019] According to one embodiment of the present invention, in step S4, the disposal and utilization of construction waste are visually monitored by WebGL technology, and the twin model and the production equipment data of the disposal and utilization of construction waste mapped to the corresponding twin model are used.

[0020] According to one embodiment of the present invention, in step S16, detail information of the high-precision model is baked into the low-precision model, and texture designing of the low-precision model includes:

[0021] Use the high-precision model to bake seven maps, including normal, world space normal, marker object, occlusion relationship, curvature, position, and thickness, for the low-precision model after UV calculation;

[0022] Then, the low-precision model after UV calculation is subjected to mapping of the primer layer, topcoat layer, metallic varnish layer and coating layer.

[0023] According to one embodiment of the present invention, a responsive design and a dynamic resource management strategy based on hardware device performance are adopted to adjust the display visualization page, specifically including:

[0024] Detect hardware device parameters;

[0025] Obtain corresponding target layout rules based on hardware device parameters;

[0026] According to the target layout rules, the corresponding twin model and the production equipment data for the disposal and utilization of construction waste mapped on the twin model are automatically converted and processed, and the corresponding visualization page is displayed.

[0027] According to one embodiment of the present invention, in step S3, a neural network model is used to perform real-time analysis on data in the waste treatment or recycling production process, and the production status of the production factors is evaluated to obtain an evaluation result, or the production processing volume at the next moment is predicted to obtain a prediction result.

[0028] According to an embodiment of the present invention, a construction waste intelligent management and visualization monitoring system includes:

[0029] The model building module uses 3D modeling technology to build a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste;

[0030] The data acquisition module acquires real-time data on production equipment for the disposal and utilization of construction waste and sends it to the industrial Ethernet platform. The data on production equipment for the disposal and utilization of construction waste includes equipment status data, equipment environment data, and data from the waste treatment or recycling production process.

[0031] The data processing module processes the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform;

[0032] As well as a visualization display module, the production equipment data of the disposal and utilization of processed construction waste will be mapped to the corresponding twin model, and the disposal and utilization of construction waste will be visually monitored.

[0033] A computer device according to an embodiment of the present invention includes:

[0034] processor;

[0035] a memory for storing executable instructions;

[0036] Wherein, the processor is used to read the executable instructions from the memory and execute the executable instructions to implement the above-mentioned intelligent management and visualization monitoring method for construction waste.

[0037] According to a computer-readable storage medium of an embodiment of the present invention, the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor implements the above-mentioned method for visual monitoring of intelligent management of construction waste.

[0038] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0039] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings and examples.

[0041] Figure 1 It is a schematic diagram of the method flow of embodiment 1 of the present invention.

[0042] Figure 2 This is a schematic diagram of visual page rendering according to the first embodiment of the present invention.

[0043] Figure 3 It is a schematic diagram showing the device status on the twin model of the first embodiment of the present invention.

[0044] Figure 4 This is a schematic diagram of the device video monitoring display according to the first embodiment of the present invention.

[0045] Figure 5 It is a structural diagram of embodiment 2 of the present invention.

[0046] Figure 6 It is a schematic diagram of the computer device structure of embodiment 3 of the present invention.

[0047] In the figure, 20 is a model building module; 21 is a data acquisition module; 22 is a data processing module; 23 is a visualization display module; 10 is a computer device; 1002 is a processor; 1004 is a memory; and 1006 is a transmission device. DETAILED DESCRIPTION

[0048] The present invention will now be described in further detail with reference to the accompanying drawings, which are simplified schematic diagrams that illustrate the basic structure of the present invention in a schematic manner.

[0049] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, features defined as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0050] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0051] Example 1

[0052] The present application embodiment provides a method for visual monitoring of intelligent management of construction waste, such as Figure 1 As shown, the system includes:

[0053] S1, through 3D modeling technology, constructs a corresponding twin model based on the industrial model of production equipment for the disposal and utilization of construction waste.

[0054] In specific implementation, step S1 specifically includes:

[0055] According to the industrial model of the production equipment for the disposal and utilization of construction waste, a 3D model of the medium model of the production equipment for the disposal and utilization of construction waste is constructed in a 1:1 ratio; further, the industrial model of the production equipment for the disposal and utilization of construction waste is obtained by collecting equipment size and appearance parameters of the production equipment for the disposal and utilization of construction waste, and then the industrial module corresponding to the production equipment for the disposal and utilization of construction waste is established according to the equipment size and appearance through modeling software, and the industrial model is imported into 3dsMax software, and a twin model is constructed through processing in 3dsMax software.

[0056] The 3D model of the middle mold is dynamically simulated to make its operation consistent with the operation of the production equipment for the disposal and utilization of construction waste.

[0057] Optimize and create high-precision models based on the 3D model of the medium model.

[0058] Create a simplified low-precision model based on the high-precision model to optimize the rendering performance and retain

[0059] Unwrap the UV coordinates of the low-precision model onto a 2D plane.

[0060] By utilizing the correspondence between the high-precision model and the low-precision model, the detailed information of the high-precision model is baked into the low-precision model, and the low-precision model is textured to obtain the corresponding twin model; for example, the high-precision model is used to bake seven textures, including normals, world space normals, marker objects, occlusion relationships, curvature, position, and thickness, for the low-precision model after UV calculation, and then the primer layer, topcoat layer, metallic varnish layer, and coating layer are textured for the low-precision model after UV calculation.

[0061] In this way, the twin model is more realistic, and ultimately the rendering effect is better when displayed on the interface, and the interface is smoother when rendered.

[0062] S2, acquires the production equipment data of the disposal and utilization of construction waste in real time and sends it to the industrial Ethernet platform; the data of the production equipment of the disposal and utilization of construction waste includes equipment status data, equipment environment data and data in the waste treatment or recycling production process; for example, equipment status data includes: start, shut down, run, pause, abnormal status; equipment environment data includes: PM2.5 index, PM10 index, PM100 index and noise pollution index; data in the waste treatment or recycling production process includes: real-time production data and construction waste treatment data.

[0063] During specific implementation, various types of data acquisition modules are configured in the production equipment and factories for the disposal and utilization of construction waste, and the data acquisition modules are connected to the industrial Ethernet to obtain the production equipment data for the disposal and utilization of construction waste, and then the production equipment data for the disposal and utilization of construction waste is transmitted to the industrial Ethernet platform.

[0064] S3. Process the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform;

[0065] It should be noted that when processing the production equipment data on the disposal and utilization of construction waste, data processing includes at least one of the following processing methods: filtering, normalization, missing data processing, feature extraction and anomaly detection; and using the principal component analysis method PCA to reduce the dimension of multidimensional data while retaining the correlation of the original data; establishing the variability association of the data, and presenting the key data of the production data in graphs and tables.

[0066] In this embodiment, statistical analysis is also performed on the production equipment data. Taking garbage sorting equipment as an example, the statistical analysis of the garbage sorting equipment includes but is not limited to:

[0067] Equipment efficiency statistics based on equipment status data, such as equipment shutdown, normal operation, maintenance shutdown, repair shutdown, alarm operation and damage shutdown;

[0068] Monthly energy consumption statistics based on the daily power consumption of the equipment;

[0069] Statistics are kept on the processing and utilization volume of sorted garbage.

[0070] In this embodiment, a neural network model also performs real-time analysis of data from the waste treatment or recycling production process. This allows the production status of production factors to be evaluated to obtain an assessment result, or the waste treatment volume at the next moment to be predicted to obtain a forecast result. Both the assessment and forecast results are mapped into the twin model, enabling dispatchers to promptly identify problems in the waste treatment or recycling production process and improve production efficiency. The production status refers to the health of production equipment or the quality of the products produced by the production equipment. When the health of production equipment falls below a set threshold, it indicates that the production equipment requires repair or maintenance. Alternatively, when the quality of a product falls below a set threshold, it indicates that the product quality does not meet established requirements and that the process parameters of the production equipment need to be adjusted. If the difference between the predicted waste treatment volume at the next moment and the actual treatment volume is less than a threshold, it indicates that the production equipment is experiencing a production anomaly, such as a material jam or a malfunction, and that the production equipment requires inspection or maintenance.

[0071] S4. The production equipment data of the disposal and utilization of the treated construction waste will be mapped to the corresponding twin model, and the production process of the disposal and utilization of construction waste will be visually monitored. Figure 2 When equipment failure or abnormal production data is detected, it will be displayed and an alarm will be issued on the visualization page, and maintenance information will be sent to the operator's terminal device in a timely manner.

[0072] In this embodiment, WebGL technology is used to visualize and monitor the production process of construction waste disposal and utilization. Specifically, a twin model and the production equipment data of construction waste disposal and utilization mapped to the corresponding twin model are displayed on a visual interactive interface. In the process of using WebGL for visualization, different platforms and devices have problems with model loading speed, performance optimization, and cross-platform compatibility. In this embodiment, responsive design and a dynamic resource management strategy based on hardware device performance are adopted to adjust the display visualization page, automatically adjust the rendering quality and the amount of loaded data, specifically including:

[0073] Detect hardware device parameters; the hardware device can be a mobile phone or a PC, and the hardware device parameters can include characteristic information of the device model, resolution, screen size, operating system, and browser type, etc.

[0074] A corresponding target layout rule is obtained based on the hardware device parameter; further, the target layout rule corresponding to the hardware device parameter is determined by traversing from a layout rule library.

[0075] According to the target layout rules, the twin model and the production equipment data for the disposal and utilization of construction waste mapped on the twin model are automatically converted and processed to display the corresponding visualization page, that is, to form the corresponding rendering effects. The conversion process refers to adaptively adjusting the size and arrangement of the content displayed on the page according to the target layout rules, so that it can have better performance in visual effects and operating experience, ensuring that it can load quickly and run smoothly on a variety of hardware devices, and realizing a smooth and visually impactful rendering effect display.

[0076] It should be noted that the production equipment for the disposal and utilization of construction waste consists of multiple operating devices, which can realize different operations. In this implementation, each operating device can be monitored through a visual interactive interface. For example, by clicking on a device on the twin model, the real-time data of the device can be viewed in real time. The real-time data includes: the operating status and operating parameters of the device, see Figure 3 shown.

[0077] In this embodiment, the operation process of each operating device is also captured by video. By selecting the operating device through the visual interactive interface, the video of the corresponding operating device can be displayed. Figure 4As shown in the figure, using Gizmo's WebGL acceleration technology to process video streams during video display can reduce bandwidth requirements and significantly increase the video frame rate. While ensuring video clarity, it effectively reduces data transmission costs and improves the visual effects of video surveillance.

[0078] In this embodiment, when visually monitoring the disposal and utilization of construction waste using WebGL technology, to avoid the risk of data leakage and unauthorized access, the displayed twin model and the production equipment data of the construction waste disposal and utilization mapped to the corresponding twin model are encrypted with AES, and the validity period of the access rights is set, specifically including:

[0079] Create user accounts, assign unique usernames and passwords, and set access expiration dates based on user permissions.

[0080] The displayed twin model and the production equipment data of the disposal and utilization of construction waste mapped in the corresponding twin model are encrypted with AES. During the AES encryption process, a noise field is introduced into the AES encryption algorithm to generate a key.

[0081] The key is distributed to users who access the data. When users try to access the data, their access rights are verified according to the account, and based on the verification result, it is decided whether to allow the decryption operation based on the key to achieve page access, thereby avoiding the risk of data leakage when visually monitoring the disposal and utilization of construction waste, improving data security, and by introducing a noise field in the AES encryption algorithm, the decryption operation based on the key is fast, which can achieve fast access.

[0082] In summary, by constructing a twin model, the production equipment data of the disposal and utilization of processed construction waste will be mapped on the corresponding twin model for visual monitoring. Without relying on manual inspections, the production process of construction waste disposal and utilization can be monitored more intuitively, that is, the production process of construction waste disposal and utilization is visualized, and the reality and virtual mapping are synchronized, which improves monitoring efficiency, reduces implementation costs, and has a high level of intelligence. In addition, this embodiment adopts a responsive design and a dynamic resource management strategy based on the performance of hardware devices, adjusts the display visualization page, automatically adjusts the rendering quality and the amount of data loaded, ensures that it can load quickly and run smoothly on a variety of hardware devices, and realizes a smooth and visually impactful rendering special effect display.

[0083] Example 2

[0084] The present application embodiment provides a construction waste intelligent management and visualization monitoring system, such as Figure 5 As shown, the system includes:

[0085] The model building module 20 uses 3D modeling technology to build a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste.

[0086] The data acquisition module 21 acquires the production equipment data of the disposal and utilization of construction waste in real time and sends it to the industrial Ethernet platform; the data of the production equipment of the disposal and utilization of construction waste includes equipment status data, equipment environment data and data in the waste treatment or recycling production process.

[0087] The data processing module 22 processes the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform.

[0088] And the visualization display module 23 maps the production equipment data of the disposal and utilization of the processed construction waste to the corresponding twin model, and performs visual monitoring of the disposal and utilization of the construction waste.

[0089] The foregoing Figure 1 The various variations and specific examples of the method for visual monitoring of intelligent management of construction waste in Example 1 are also applicable to the device for visual monitoring of intelligent management of construction waste in this embodiment. Through the above detailed description of the method for visual monitoring of intelligent management of construction waste, those skilled in the art can clearly know the implementation method of the device for visual monitoring of intelligent management of construction waste in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0090] Example 3

[0091] An embodiment of the present application provides a computer device, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement a method for visual monitoring of intelligent management of construction waste as provided in the above method embodiment.

[0092] Figure 6 The hardware structure diagram of a device for implementing a method for visually monitoring intelligent management of construction waste provided in an embodiment of the present application is shown. The device may participate in or include the apparatus or system provided in an embodiment of the present application. Figure 6As shown, the computer device 10 may include one or more processors 1002 (the processor may include but is not limited to a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 1004 for storing data, and a transmission device 1006 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 6 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 6 More or fewer components than shown, or with Figure 6 Different configurations shown.

[0093] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single independent processing module, or may be incorporated in whole or in part into any of the other components of the computer device 10 (or mobile device). As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0094] Memory 1004 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to a method for visual monitoring of intelligent management of construction waste in an embodiment of the present application. The processor executes the software programs and modules stored in memory 1004 to perform various functional applications and data processing, thereby implementing one of the aforementioned methods. Memory 1004 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 1004 may further include memory remotely located relative to the processor, and these remote memories may be connected to the computer device 10 via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0095] Transmission device 1006 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of computer device 10. In one embodiment, transmission device 1006 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, transmission device 1006 may be a radio frequency (RF) module configured to communicate with the Internet wirelessly.

[0096] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer device 10 (or mobile device).

[0097] Example 4

[0098] An embodiment of the present application also provides a computer-readable storage medium, which can be set in a server to store at least one instruction or at least one program related to a method for implementing a visual monitoring method for intelligent management of construction waste in a method embodiment. The at least one instruction or the at least one program is loaded and executed by the processor to implement a visual monitoring method for intelligent management of construction waste provided in the above method embodiment.

[0099] Optionally, in this embodiment, the storage medium may be located in at least one of a plurality of network servers in a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk.

[0100] Example 5

[0101] An embodiment of the present invention further provides a computer program product or computer program, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to implement a method for intelligent management and visualization monitoring of construction waste provided in any of the aforementioned optional embodiments.

[0102] It should be noted that the order of the embodiments of the present application described above is for descriptive purposes only and does not represent the superiority or inferiority of the embodiments. The above description is of specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device, equipment, and storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.

[0104] Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or by a program to instruct the relevant hardware, and the program may be stored in a computer-readable storage medium, which may be a read-only memory, a disk, or an optical disk, etc.

[0105] With the above-described preferred embodiments of the present invention as a guide, and with reference to the above description, relevant personnel are fully capable of making various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the contents of the specification and must be determined according to the scope of the claims.

Claims

1. A method for intelligent management and visualization monitoring of construction waste, characterized in that: The method comprises the following steps: S1, through 3D modeling technology, build a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste; S2, real-time acquisition of production equipment data on the disposal and utilization of construction waste, and sending it to the industrial Ethernet platform; the data on the production equipment for the disposal and utilization of construction waste includes equipment status data, equipment environment data, and data from the waste treatment or recycling production process; S3, processes the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform; S4, the production equipment data of the disposal and utilization of the processed construction waste will be mapped to the corresponding twin model, and the disposal and utilization of the construction waste will be visually monitored; Wherein, the step S1 specifically includes the following steps: S11, based on the industrial model of the production equipment for the disposal and utilization of construction waste, construct a 3D model of the intermediate model of the production equipment for the disposal and utilization of construction waste at a ratio of 1:1; S12, performing dynamic simulation on the 3D model of the middle mold so that its operation is consistent with the operation of the production equipment for disposal and utilization of construction waste; S13, optimize and create a high-precision model based on the 3D model of the medium model; S14, creating a simplified low-precision model based on the high-precision model; S15, unfolding the UV coordinates of the low-precision model onto a 2D plane; S16, using the correspondence between the high-precision model and the low-precision model, bakes the detailed information of the high-precision model into the low-precision model, performs texture design on the low-precision model, and obtains the corresponding twin model.

2. The method for intelligent management and visualization monitoring of construction waste according to claim 1, characterized in that: In step S3, data processing includes at least one of the following processing methods: filtering, normalization, missing data processing, feature extraction and anomaly detection, and adopts the principal component analysis method PCA to reduce the dimension of multidimensional data while retaining the correlation of original data.

3. The method for intelligent management and visualization monitoring of construction waste according to claim 1, characterized in that: In step S4, the disposal and utilization of construction waste are visually monitored through WebGL technology, and the twin model and the production equipment data of the disposal and utilization of construction waste mapped on the corresponding twin model are used.

4. The method for intelligent management and visualization monitoring of construction waste according to claim 1, characterized in that: In step S16, the detail information of the high-precision model is baked into the low-precision model. The texture design of the low-precision model includes: Use the high-precision model to bake seven maps, including normal, world space normal, marker object, occlusion relationship, curvature, position, and thickness, for the low-precision model after UV calculation; Then, the low-precision model after UV calculation is subjected to mapping of the primer layer, topcoat layer, metallic varnish layer and coating layer.

5. The method for intelligent management and visualization monitoring of construction waste according to claim 4, characterized in that: Adopting responsive design and dynamic resource management strategies based on hardware device performance, we adjusted the display visualization page, including: Detect hardware device parameters; Obtain corresponding target layout rules based on hardware device parameters; According to the target layout rules, the corresponding twin model and the production equipment data for the disposal and utilization of construction waste mapped on the twin model are automatically converted and processed, and the corresponding visualization page is displayed.

6. The method for intelligent management and visualization monitoring of construction waste according to claim 1, characterized in that: In step S3, the data in the waste treatment or recycling production process is analyzed in real time through a neural network model, the production status of the production factors is evaluated to obtain an evaluation result, or the production processing volume at the next moment is predicted to obtain a prediction result.

7. A construction waste intelligent management and visualization monitoring system, characterized in that: The system is applied to the method for intelligent management and visualization monitoring of construction waste according to any one of claims 1 to 6, and the system comprises: The model building module (20) uses 3D modeling technology to build a corresponding twin model based on the industrial model of the production equipment for the disposal and utilization of construction waste; The data acquisition module (21) acquires the production equipment data of the disposal and utilization of construction waste in real time and sends it to the industrial Ethernet platform; the data of the production equipment of the disposal and utilization of construction waste includes equipment status data, equipment environment data and data of the waste disposal or recycling production process; The data processing module (22) processes the received production equipment data on the disposal and utilization of construction waste through the industrial Ethernet platform; And the visualization display module (23) maps the production equipment data of the disposal and utilization of the processed construction waste to the corresponding twin model, and performs visual monitoring of the disposal and utilization of the construction waste.

8. A computer device, characterized in that: include: processor; a memory for storing executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method for visual monitoring of intelligent management of construction waste as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the method for visual monitoring of intelligent management of construction waste according to any one of claims 1 to 6.

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