Intelligent treatment system for construction waste recovery

Abstract

The invention relates to the technical field of construction waste treatment, in particular to an intelligent treatment system for construction waste recovery. The system comprises a front-end data acquisition layer for acquiring and integrating data of each level of each garbage collection management link through a plurality of deployed data acquisition devices; the data layer is used for processing various data of the front-end data acquisition layer and establishing a database; the business layer is a core technology layer of the intelligent treatment system for building garbage recovery, and is used for realizing garbage analysis and detection and vehicle scheduling of a project construction site, garbage classification treatment in a production process, regenerated product capacity statistics and equipment coordination and linkage treatment based on data of the data layer; and the application layer is used for presenting the data of the data layer in a visual form through terminal equipment. Vehicle scheduling can be automatically carried out through front-end data acquisition and processing, the processing efficiency is high, the quality of regenerated products is good and the production efficiency is high through intelligent management, and the utilization rate of resources is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction waste treatment, and in particular to an intelligent management system for construction waste recycling. Background Art

[0002] General construction waste is divided into engineering waste, demolition waste, decoration waste, engineering mud and engineering slag. Engineering waste is the construction waste generated during the construction process. The construction party is responsible for on-site collection, treatment and utilization of this type of waste; demolition waste is the construction waste generated during the demolition of buildings. Since the demolition team does not have the relevant construction waste recycling qualifications, it is mostly collected and transported by a third party and sent to the terminal disposal plant. Therefore, the discharge of demolition waste cannot be classified on-site, which is one of the reasons for the difficulty in terminal disposal of demolition waste; decoration waste is the construction waste generated in house decoration projects. This type of waste is often complex in composition, difficult to handle, and has low economic benefits in resource utilization; engineering mud and engineering slag are both excavation or washing products generated in construction projects. Their discharge is relatively concentrated and generally treated in situ. As for the treatment of construction waste, demolition waste and decoration waste, no matter whether it is collected on-site by the construction party or collected and transported by a third party, they are all concentrated in designated areas, and then transported by transport vehicles when receiving telephone notifications. The efficiency is low and the work is in a manual mode. Moreover, due to the wide variety and complex shapes of construction waste, the current measures are mostly adopted to directly landfill or discard it, which occupies land, pollutes the environment, and has a low resource utilization rate. 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 an intelligent management system for construction waste recycling, which can automatically perform vehicle scheduling through front-end data collection, has fast processing efficiency, and through intelligent management, the quality of recycled products is good and the production efficiency is high, thereby improving resource utilization.

[0005] According to an embodiment of the present invention, the intelligent management system for construction waste recycling comprises: The front-end data collection layer collects and integrates data from various levels of each waste recycling management link through a number of deployed data collection devices. Each waste recycling management link includes waste detection at the project construction site, transportation scheduling, waste classification monitoring, waste recycling production line monitoring and / or equipment monitoring; The data layer processes various data of the front-end data collection layer and establishes a database, which includes: a garbage transport vehicle database, a monitoring equipment database, a garbage classification database, a garbage image database, and a recycling production database; The business layer is the core technology layer of the intelligent management system for construction waste recycling. Based on the data from the data layer, it realizes garbage analysis and detection at the project construction site, vehicle dispatch, garbage classification and processing in the production process, recycled product capacity statistics, and equipment coordination and linkage disposal; The application layer presents the data of the data layer in a visual form through a terminal device.

[0006] The beneficial effect of the present invention is that the intelligent management system for construction waste recycling of the present invention is suitable for the process control of "collection, transportation, classification, and reuse production" of construction waste, and automates the transportation and scheduling of construction waste collection at the project construction site, which changes the traditional manual operation mode and greatly improves efficiency. The database system designed to support the intelligent management system for construction waste recycling has become automated and intelligent through digital processing at the business layer. This not only simplifies the operating process, but also greatly improves the resource utilization rate of construction waste, turning "waste" into "treasure".

[0007] According to one embodiment of the present invention, various data processing of the front-end data collection layer includes: By extracting data attributes, the collected data is classified according to different data source types, and different identifiers are assigned to different data source data. After the assignment is completed, the data is transferred to the corresponding database based on the identifier; Among them, data attributes include data source name, description, data structure and field type.

[0008] According to one embodiment of the present invention, garbage analysis and detection and vehicle dispatching at a project construction site include: A1, obtain image information of the project construction site from the garbage image database; A2, pre-process the image to achieve preliminary assessment of the construction waste at the project construction site; A3. Dispatch transport vehicles to collect and transport construction waste based on the results of the preliminary assessment.

[0009] According to an embodiment of the present invention, preprocessing an image to implement a preliminary assessment of construction waste at a project construction site specifically includes: A21, median filtering and noise reduction after grayscale processing of the image; A22, performing Gaussian mean filtering to reduce noise on the median filtered image; A23, performing histogram equalization enhancement processing on the denoised image; A24, extracting features from the enhanced image to obtain target features; A25, input the target features into the trained fully connected neural network for recognition, and obtain the construction waste area and the category of construction waste. The waste area is the current coverage area of ​​the waste; A26, pre-evaluating the scale of the construction waste according to the construction waste area and the type of the construction waste to obtain a prediction result.

[0010] According to one embodiment of the present invention, the dispatching of transport vehicles is performed according to the results of the preliminary assessment, and the collection and transportation of construction waste includes: A31, sending a garbage collection instruction according to the prediction result, wherein the garbage collection instruction includes the prediction result and location information of the project construction site; A32, obtains garbage collection instructions, and determines the transport vehicle from the collection and transportation transfer station based on the prediction results and the location information of the project construction site, combined with GPS positioning technology; A33, generating a first path according to the location information of the transport vehicle and the location information of the project construction site, and generating a second path according to the location information of the project construction site and the location information of the reuse production destination, the first path and the second path forming a trajectory of garbage collection and transportation, and sending the trajectory of garbage collection and transportation to the transport vehicle; A34, weighing the garbage at the project construction site through a weighing sensor arranged on the transport vehicle, obtaining the weight of the garbage currently loaded on the transport vehicle, and transmitting the weight of the currently loaded garbage to the data layer; A35. When the transport vehicle carries the collected garbage to the recycling production destination, the weighing system at the recycling production destination will weigh the loaded garbage again and obtain the weight weighed by the transport vehicle. The difference between the two weights is used to obtain the weight value of the garbage dropped in the transport vehicle, so as to realize automatic fee settlement for collection and transportation.

[0011] According to one embodiment of the present invention, the calculation of the recycled product capacity includes: B1, acquiring point cloud data of a regenerated product collected by a radar device from a database; B2, building a three-dimensional model based on the point cloud data, and using a triangulation algorithm to divide the three-dimensional model into several unit blocks; B3, calculate the volume of each unit block, the calculation formula is ; Among them, the three-point coordinates of each unit block in the spatial coordinate system are A ( x 1, y 1, z 1), B ( x 1, y 1, z 1), C ( x 1, y 1, z 1) The calculation formula of the spatial centroid of each unit block is: , Z0 is the height of the unit block; B4, add up the volumes of all unit blocks to get the volume V of the regenerated product z ; B5, obtain the density of the current recycled product ρ , calculate the current recycled product capacity, the calculation formula is: G=V z * ρ .

[0012] According to one embodiment of the present invention, the quality of the recycled product is analyzed by comparing the production process parameters, feed materials and recycled product capacity. According to one embodiment of the present invention, the equipment coordination and linkage disposal includes environmental monitoring and material balance.

[0013] According to one embodiment of the present invention, the environmental monitoring includes: acquiring production environment quality data from a monitoring device database, analyzing the production environment quality data, and presenting the data in a visual form on a terminal device.

[0014] According to one embodiment of the present invention, the material balance includes: acquiring data from a reuse production database, inputting the data into a material balance model, and outputting a material balance-oriented production plan through the material balance model.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0016] 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

[0017] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0018] Figure 1 It is a structural schematic diagram of the best embodiment of the present invention.

[0019] Figure 2 It is a schematic diagram of the garbage analysis and detection and vehicle dispatching process of the project construction site according to the optimal embodiment of the present invention. DETAILED DESCRIPTION

[0020] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0021] 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 positions or positional relationships based on the positions 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 a limitation on the present invention. In addition, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0022] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] The present application embodiment provides an intelligent management system for construction waste recycling, such as Figure 1 As shown, the system includes: The front-end data collection layer collects and integrates data from all levels of various waste recycling management links through a number of deployed data collection devices. Each waste recycling management link includes part or all of the waste detection at the project construction site, transportation scheduling, waste classification monitoring, waste recycling production line monitoring and equipment monitoring; The data layer processes various data from the front-end data collection layer and establishes a database. The data includes: garbage transportation vehicle database, monitoring equipment database, garbage classification database, garbage image database and recycling production database; among them, the garbage image database includes the garbage image sub-database of the project construction site, The business layer is the core technology layer of the intelligent management system for construction waste recycling. Based on the data from the data layer, it realizes garbage analysis and detection at the project construction site, vehicle dispatch, garbage classification and processing in the production process, recycled product capacity statistics, and equipment coordination and linkage disposal; The application layer presents the data of the data layer in a visual form through the terminal device.

[0024] The following is a further detailed description of each component of the system in this embodiment.

[0025] The front-end data collection layer realizes real-time online data collection in the waste recycling management process from the project construction site garbage detection, transportation scheduling, garbage classification monitoring, garbage recycling production line monitoring and equipment monitoring. The data includes: (1) Image data of garbage at the project construction site; (2) Transportation vehicle data, such as garbage weight, vehicle information, and travel trajectory; (3) Production equipment status data, such as amplitude, temperature, speed, power consumption data, etc.; (4) Production environment quality data, such as ambient temperature, noise, dust, etc.; (5) Production process parameter data, such as material ratio, equipment temperature, equipment speed, etc.; (6) Production efficiency data, such as waste sorting or waste recycling product production per unit time; (7) Data on the output of materials or recycled products, such as the output of various types of waste classification, the production capacity of waste recycled products, and the consumption of various types of energy; (8) Video data of the production process, such as video of garbage on the conveyor belt, The above data, such as image data of garbage at the project construction site, can be collected by data acquisition equipment deployed at the project construction site, such as cameras or lidars; vehicle transportation data can be collected by deploying sensors on the vehicle; real-time collection of production site data is generally through: intelligent sensors; intelligent instruments, such as measurement and control instruments, protection instruments, smart meters, smart quality inspection instruments, smart weighing instruments, smart environmental monitors, etc.; video monitoring equipment; equipment status monitoring equipment, such as fault monitoring equipment, status monitoring equipment, etc.; process monitoring systems, such as PLC systems for various processes, etc.; production process monitoring systems, such as DCS (Distributed Control System) and SCADA (Supervisory Control And Data Acquisition).

[0026] The data layer obtains the data from the front-end data collection layer through the network and processes the data to form a corresponding database. The processing includes: extracting data attributes, classifying the collected data according to different data source types, and assigning different identifiers to different data source data. After the assignment is completed, the data is transmitted to the corresponding database based on the identifier.

[0027] Data attributes include but are not limited to data source name, description, data structure, and field type. The collected data are classified according to the data attribute information.

[0028] In the embodiments, the integrity of the data will also be cleaned, such as using built-in data processing algorithms such as fitting and smoothing to complete the missing data caused by various abnormal situations based on data attributes to ensure the integrity and validity of the data.

[0029] It should be noted that in order to ensure the real-time and accuracy of data transmission between the acquisition equipment at the reuse production destination and the data layer, PLC automation technology combined with a specific routing protocol is used to transmit data, and the data transmission efficiency is good. In addition, the data acquisition equipment at the project construction site and the data layer use 5G communication technology to upload data, that is, the data acquisition equipment also includes a wireless communication module, which is connected to the monitoring host set up at the project construction site through the wireless communication module to achieve data transmission.

[0030] In this embodiment, if Figure 2 As shown, garbage analysis and detection and vehicle dispatching at the project construction site include: A1, obtain image information of the project construction site from the garbage image database; A2, pre-process the image to achieve preliminary assessment of the construction waste at the project construction site; A3. Dispatch transport vehicles to collect and transport construction waste based on the results of the preliminary assessment.

[0031] Furthermore, step A2 specifically includes the following steps: A21, median filtering and noise reduction after grayscale processing of the image; For example, get the value of each pixel in the image, calculate all the pixels, get the median, set the critical value, compare the image pixels with the critical value, determine the pixels and noise points in the image, replace the value of the noise point with the median, and denoise the image. This can remove sharp noise in the image, smooth the image, and especially deal with environmental noise.

[0032] A22, performing Gaussian mean filtering to reduce noise on the median filtered image; Construct a 3*3 Gaussian filter template and take the center of the template as the coordinate origin for sampling. Given the coordinates of the template at each position, bring the coordinate values ​​of each position into the Gaussian function to calculate the coefficient of the Gaussian template. After determining the template coefficient in the Gaussian mean filter, perform Gaussian mean filtering on the image after median filtering to further improve image quality.

[0033] A23, performing histogram equalization enhancement processing on the denoised image; The denoised image is used to generate the original grayscale histogram; the original grayscale histogram is equalized using the following histogram equalization algorithm to obtain a real-time grayscale histogram. The histogram equalization algorithm formula is: ; in, S k is the gray level of the real-time gray histogram, r k For the k Gray levels, n i For the i The number of grayscale pixels, P r ( r i ) is the probability of each gray level, n is the total number of pixels of the image after denoising, k is the gray level range [0, L-1].

[0034] The enhanced image can solve the problem of uneven ambient light, improve image quality, and facilitate the extraction of target features.

[0035] A24, extracting features from the enhanced image to obtain target features; wherein the target features include texture features and color features.

[0036] The texture features of the enhanced image are extracted through the gray level co-occurrence matrix to obtain the texture features, which specifically include: Suppose the grayscale matrix of the enhanced image is x , (values ​​are 0, 1, 2, ..., l ), x i Indicates the image i The gray value of a pixel, f ( x ) represents the grayscale histogram of the image. Represents the average value of unequal points in the grayscale of each pixel in each grayscale pixel image. u n For each grayscale pixel image or each pixel grayscale rectangular image n The moment. Then the moment function of the grayscale histogram of each pixel of each grayscale pixel image is: ; in M is the total number of pixels in the image; set up for: , we can get the grayscale histogram n Stage array: .

[0037] From the above formula, we can see that u n The size and histogram f( x ) is directly related to the distribution of u The distribution of the grayscale histogram can be known by the change of . Generally, the 1st, 2nd, 3rd, and 4th order moments of the grayscale histogram are used to describe the texture characteristics of the image. u 1. u 2. u 3. u 4 respectively describe the dispersion, contrast, fluctuation and contrast of image texture grayscale values.

[0038] The enhanced image is processed through the OpenCV computer vision library to obtain color features.

[0039] A25, input the target features into the trained fully connected neural network for identification, and obtain the construction waste area and the category of construction waste. The garbage area is the current garbage coverage area; further, the texture features and color features are fused and input into the trained fully connected neural network for garbage identification.

[0040] A26, pre-assess the scale of waste according to the construction waste area and the type of construction waste, and obtain the prediction result. The prediction result is based on the estimated weight of waste existing in the project construction site according to the construction waste area and the type of waste, which is convenient for subsequent vehicle scheduling.

[0041] Step A3 specifically includes the following steps: A31, sending a garbage collection instruction according to the prediction result, wherein the garbage collection instruction includes the prediction result and location information of the project construction site; A32, obtains garbage collection instructions, and determines the transport vehicle from the collection and transportation transfer station based on the prediction results and the location information of the project construction site, combined with GPS positioning technology; A33, generating a first path according to the location information of the transport vehicle and the location information of the project construction site, and generating a second path according to the location information of the project construction site and the location information of the reuse production destination, the first path and the second path forming a trajectory of garbage collection and transportation, and sending the trajectory of garbage collection and transportation to the transport vehicle; A34, weighing the garbage at the project construction site through a weighing sensor arranged on the transport vehicle, obtaining the weight of the current garbage loaded on the transport vehicle, and transmitting the weight of the current garbage loaded to the data layer; A35. When the transport vehicle carries the collected garbage to the recycling production destination, the weighing system at the recycling production destination will weigh the loaded garbage again and obtain the weight weighed by the transport vehicle. The difference between the two weights is used to obtain the weight value of the garbage dropped in the transport vehicle, so as to automatically settle the collection and transportation costs according to the dropped weight value.

[0042] It should be noted that the GIS panoramic map can be used to display the first path and the second path, as well as the transport vehicles in transit, on the terminal device. Based on GPS technology, the GIS panoramic map can also display the position of the transport vehicles on the path, as well as the collected garbage data.

[0043] In order to achieve the recycling of construction waste, the collected garbage will be classified, including: obtaining the garbage video on the conveyor belt through the installed video surveillance equipment, and taking screenshots of the garbage video frame by frame to obtain the garbage image. The garbage identification steps refer to steps A21 to A25, which are not repeated here for the sake of brevity. After the garbage is identified, the target garbage is grabbed by the grabbing device, and the collected garbage is classified one by one to facilitate the production and reuse of the classified garbage by the recycling production equipment, which can improve the purity of the recycled products and thus improve the quality of the recycled products. The categories of garbage include but are not limited to construction debris, waste plastics, waste wood, cardboard, discarded wires and brick waste.

[0044] During the process of classifying the collected garbage, the output of the classified garbage will also be counted and finally displayed through the terminal equipment.

[0045] In this embodiment, different classified garbage is reproduced through different recycling production lines to form new recycled products, including but not limited to recycled aggregate, red brick powder, RDF fuel and fluid backfill materials. By obtaining data from the data layer, the capacity of garbage recycling products is calculated, including: B1, obtaining point cloud data of a regenerated product collected by a radar device from a database, B2, building a three-dimensional model based on the point cloud data, and using a triangulation algorithm to divide the three-dimensional model into several unit blocks; B3, calculate the volume of each unit block, the calculation formula is: ; Among them, the three-point coordinates of each unit block in the spatial coordinate system are A ( x 1, y 1, z 1), B ( x 1, y 1, z 1), C ( x 1, y 1, z 1) The calculation formula of the spatial centroid of each unit block is: ; Z 0 is the height of the unit block; B4, add up the volumes of all unit blocks to get the volume V of the regenerated productz ; B5, obtain the density of the current recycled product ρ , calculate the current recycled product capacity, the calculation formula is: G=V z * ρ .

[0046] In this embodiment, the calculated recycled product capacity will be transmitted to the corresponding database for storage to facilitate data statistics.

[0047] In this embodiment, the quality of the recycled products is analyzed by comparing the production process parameters, feed materials and recycled product capacity. For example, when the feed amount and production process parameters are the same, the daily output of recycled products should be the same. If not, there is a risk of using the wrong materials during the production process. Therefore, by analyzing the quality of the recycled products through the recycled product capacity, the quality of the recycled products can be improved.

[0048] In this embodiment, equipment coordination and linkage disposal include environmental monitoring and material balance. Environmental monitoring includes: obtaining production environment quality data from the monitoring equipment database, analyzing the production environment quality data, and displaying and warning the detection data through the terminal equipment. When the production environment quality is poor, such as when the detected dust value is greater than the preset dust value, the dust removal device will be remotely controlled to open for dust removal. For example, when the ambient temperature is greater than or less than the preset temperature value, the indoor temperature control device will be remotely controlled to open.

[0049] Since the recycling production destination is limited by the site space, this embodiment optimizes and controls the garbage collection and transportation, production planning, and the delivery of recycled products through the constructed material balance model, including: Data is obtained from a reuse production database and input into a material balance model, and a production plan guided by material balance is outputted via the material balance model.

[0050] The data obtained include: the inventory of collected and transported garbage G S 、The number of garbage collected and transported on that day G D , the weight of the garbage loaded on the transport vehicle during transportation G z , production capacity of different recycled products C i , the total amount of recycled products shipped out every day (g); The total amount of garbage collected and transported every day is: G t =G S +G D +G z ; The production capacity of all recycled products is: ; The actual remaining recycled product capacity per day is: P = Cg; The total amount of garbage collected and transported each day and the remaining capacity each day are used as input data for the material balance model; The production schedule for the next day and the delivery schedule for the next day are made based on the total amount of garbage collected and transported each day and the actual remaining recycled product production capacity each day to ensure a balance between garbage collection and transportation and recycled products.

[0051] The intelligent management system for construction waste recycling of the present invention is suitable for the process control of "collection, transportation, classification, and reuse production" of construction waste. It automates the transportation and dispatch of construction waste collection at the project construction site, changing the traditional manual operation mode and greatly improving efficiency. The database system designed to support the intelligent management system for construction waste recycling has become automated and intelligent through digital processing at the business layer, which has greatly improved the resource utilization rate of construction waste and turned "waste" into "treasure".

[0052] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A construction waste recycling intelligent management system, characterized in that: The system comprises: The front-end data collection layer collects and integrates data from various levels of each waste recycling management link through a number of deployed data collection devices. Each waste recycling management link includes waste detection at the project construction site, transportation scheduling, waste classification monitoring, waste recycling production line monitoring and / or equipment monitoring; The data layer processes various data of the front-end data collection layer and establishes a database, which includes: a garbage transport vehicle database, a monitoring equipment database, a garbage classification database, a garbage image database, and a recycling production database; The business layer is the core technology layer of the intelligent management system for construction waste recycling. Based on the data from the data layer, it realizes garbage analysis and detection at the project construction site, vehicle dispatch, garbage classification and processing in the production process, recycled product capacity statistics, and equipment coordination and linkage disposal; The application layer presents the data of the data layer in a visual form through a terminal device.

2. The intelligent management system for construction waste recycling according to claim 1, characterized in that: Various data processing of the front-end data collection layer includes: By extracting data attributes, the collected data is classified according to different data source types, and different identifiers are assigned to different data source data. After the assignment is completed, the data is transferred to the corresponding database based on the identifier; Among them, data attributes include data source name, description, data structure and field type.

3. The intelligent management system for construction waste recycling according to claim 1, characterized in that: Garbage analysis and testing and vehicle dispatch at the project construction site include: A1, obtain image information of the project construction site from the garbage image database; A2, pre-process the image to achieve preliminary assessment of the construction waste at the project construction site; A3. Dispatch transport vehicles to collect and transport construction waste based on the results of the preliminary assessment.

4. The intelligent management system for construction waste recycling as claimed in claim 3, characterized in that: Preprocess the image to pre-evaluate the construction waste at the project construction site, including: A21, median filtering and noise reduction after grayscale processing of the image; A22, performing Gaussian mean filtering to reduce noise on the median filtered image; A23, performing histogram equalization enhancement processing on the denoised image; A24, extracting features from the enhanced image to obtain target features; A25, input the target features into the trained fully connected neural network for recognition, and obtain the construction waste area and the category of construction waste. The waste area is the current coverage area of ​​the waste; A26, pre-evaluating the scale of the construction waste according to the construction waste area and the type of the construction waste to obtain a prediction result.

5. The intelligent management system for construction waste recycling as claimed in claim 4, characterized in that: According to the results of the preliminary assessment, the transportation vehicles are dispatched to collect and transport the construction waste, including: A31, sending a garbage collection instruction according to the prediction result, wherein the garbage collection instruction includes the prediction result and location information of the project construction site; A32, obtains garbage collection instructions, and determines the transport vehicle from the collection and transportation transfer station based on the prediction results and the location information of the project construction site, combined with GPS positioning technology; A33, generating a first path according to the location information of the transport vehicle and the location information of the project construction site, and generating a second path according to the location information of the project construction site and the location information of the reuse production destination, the first path and the second path forming a trajectory of garbage collection and transportation, and sending the trajectory of garbage collection and transportation to the transport vehicle; A34, weighing the garbage at the project construction site through a weighing sensor arranged on the transport vehicle, obtaining the weight of the garbage currently loaded on the transport vehicle, and transmitting the weight of the currently loaded garbage to the data layer; A35. When the transport vehicle carries the collected garbage to the recycling production destination, the weighing system at the recycling production destination will weigh the loaded garbage again and obtain the weight weighed by the transport vehicle. The difference between the two weights is used to obtain the weight value of the garbage dropped in the transport vehicle, so as to realize automatic fee settlement for collection and transportation.

6. The intelligent management system for construction waste recycling according to claim 1, characterized in that: The calculation of recycled product capacity includes: B1, acquiring point cloud data of a regenerated product collected by a radar device from a database; B2, building a three-dimensional model based on the point cloud data, and using a triangulation algorithm to divide the three-dimensional model into several unit blocks; B3, calculate the volume of each unit block, the calculation formula is ; Among them, the three-point coordinates of each unit block in the spatial coordinate system are A ( x 1, y 1, z 1), B ( x 1, y 1, z 1), C ( x 1, y 1, z 1) The calculation formula of the spatial centroid of each unit block is: ， Z 0 is the height of the unit block; B4, add up the volumes of all unit blocks to get the volume V of the regenerated product z ; B5, obtain the density of the current recycled product ρ , calculate the current recycled product capacity, the calculation formula is: G=V z * ρ 。 7. The intelligent management system for construction waste recycling as claimed in claim 6, characterized in that: The product quality of the recycled product is analyzed by comparing the production process parameters, feed materials and recycled product capacity.

8. The intelligent management system for construction waste recycling according to claim 1, characterized in that: The equipment coordination and linkage disposal include environmental monitoring and material balance.

9. The intelligent management system for construction waste recycling as claimed in claim 8, characterized in that: The environmental monitoring includes: obtaining production environment quality data from a monitoring device database, analyzing the production environment quality data, and presenting the data in a visual form on a terminal device.

10. The intelligent construction waste recycling management system according to claim 8, characterized in that: The material balance includes: acquiring data from a reuse production database, inputting the data into a material balance model, and outputting a production plan guided by material balance through the material balance model.

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