CN114004373A - Intelligent building garbage classification system, method and equipment - Google Patents
Intelligent building garbage classification system, method and equipment Download PDFInfo
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- 239000010813 municipal solid waste Substances 0.000 title abstract description 22
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- 239000000428 dust Substances 0.000 description 10
- 238000005507 spraying Methods 0.000 description 9
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- 230000008569 process Effects 0.000 description 5
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241001391944 Commicarpus scandens Species 0.000 description 1
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Abstract
本发明涉及一种智能建筑垃圾分类系统、方法及设备，包括建筑垃圾图像获取模块，用于采集区域内的建筑垃圾图像；建筑垃圾识别模块，用于种类识别已采集到的建筑垃圾图像；建筑垃圾检测模块，用于检测建筑垃圾的表面是否完整；建筑垃圾分拣模块，用于分拣已种类识别和表面检测的建筑垃圾；生物特征识别模块，用于识别生物特征，判断其是否为生物；环境监测模块，用于采集建筑垃圾区域环境参数的数据信息；中央处理模块，所述中央处理模块预设操作指令、预存建筑垃圾种类库及预存生物元素库。本发明具有解决大型机械对建筑垃圾进行分类时消耗时间且成本高，人工分类时工作效率低下且伴有身心将康风险的效果。
The invention relates to an intelligent construction waste classification system, method and equipment, comprising a construction waste image acquisition module, which is used for collecting construction waste images in an area; a construction waste identification module, which is used for type identification of the collected construction waste images; The garbage detection module is used to detect whether the surface of construction waste is complete; the construction waste sorting module is used to sort the construction waste that has been identified and surface detected; the biometric identification module is used to identify biological features and determine whether it is biological The environmental monitoring module is used to collect the data information of the environmental parameters of the construction waste area; the central processing module, the central processing module presets the operation instructions, the pre-stored construction waste type library and the pre-stored biological element library. The invention has the effects of solving the time-consuming and high cost when large-scale machinery sorts the construction waste, and the low work efficiency and the risk of physical and mental health during manual sorting.
Description
Technical Field
The invention relates to the technical field of garbage classification, in particular to an intelligent building garbage classification system, method and equipment.
Background
This section provides background information related to the present disclosure only and is not necessarily prior art.
The construction waste refers to the general name of waste such as waste residue, waste concrete, waste bricks and stones generated in the production activities of the construction industry such as demolition, construction, decoration and repair, and at the present stage, a large number of construction waste generated after construction can be sorted by using a large-scale machine, but the method and the time consumption thereof have the advantages that a large amount of construction waste needs to be classified and identified one by one, the workload is large, and the cost consumption is high. The classification treatment by manpower consumes huge labor resources, the workload is large, the working efficiency is low, the classification is mistaken due to human negligence, and meanwhile, some dangerous goods which are accidentally doped in the construction waste are easy to break and can generate toxic and harmful gases, and certain physical and psychological health risks are brought to workers.
Disclosure of Invention
The invention aims to at least solve the problems that large machinery consumes time and is high in cost when classifying construction wastes, the working efficiency is low when manual classification is carried out, and physical and psychological health risks are accompanied. The purpose is realized by the following technical scheme:
the invention provides an intelligent construction waste classification system in a first aspect, which comprises:
the construction waste image acquisition module is used for acquiring construction waste images in the area;
the construction waste recognition module is used for recognizing the collected construction waste images according to types;
the construction waste detection module is used for detecting whether the surface of the construction waste is complete;
the construction waste sorting module is used for sorting the construction waste subjected to type identification and surface detection;
the biological characteristic identification module is used for identifying biological characteristics and judging whether the biological characteristics are organisms or not;
the environment monitoring module is used for acquiring data information of environmental parameters of the construction waste area;
the central processing module is used for presetting an operation instruction, prestoring a construction waste type library and prestoring a biological element library, and is respectively connected with the construction waste image acquisition module, the construction waste identification module, the construction waste detection module, the biological characteristic identification module and the environment monitoring module.
According to the intelligent construction waste classification system, the central processing module obtains construction waste image information in a designated area through the construction waste image acquisition module, performs type identification on waste in the acquired construction waste image information through the construction waste identification module, detects the integrity of the waste through the construction waste detection module, and sorts construction waste subjected to type identification and surface detection through the construction waste sorting module; meanwhile, the biological feature recognition module is used for carrying out feature recognition on organisms existing in the construction waste area, so that personnel are prevented from being injured, and the environment monitoring module is used for collecting data information of each parameter of the environment in the area and carrying out real-time monitoring. Compared with the existing large-scale mechanical and manual classification mode, the method has the advantages that the consumption cost is reduced, the sorting efficiency is improved, and meanwhile, the problem of physical and mental health risks brought to workers by the insecurity of the environmental information during manual sorting of the construction wastes is solved.
In addition, the intelligent building rubbish classification system can also have the following additional technical characteristics:
in some embodiments of the present invention, the construction waste image obtaining module includes a camera, and the camera is used for collecting construction waste images in an area.
In some embodiments of the invention, the construction waste sorting module comprises a mechanical raker for raking off and sorting the construction waste with the identified and detected type.
In some embodiments of the invention, the environmental monitoring module comprises a smoke concentration sensor, a toxic gas sensor, and an inhalable particulate matter sensor.
In some embodiments of the present invention, the intelligent building waste classification system further includes a pollution evaluation module, and the pollution evaluation module is connected to the environment monitoring module, and is configured to process the acquired data information and evaluate the environment condition according to the processed data.
In some embodiments of the present invention, the intelligent building garbage classification system further comprises an alarm module, wherein the alarm module comprises a buzzer, and the buzzer is used for sending out an alarm signal.
In some embodiments of the present invention, the intelligent building waste classification system further comprises an emergency braking module for stopping the operation of the equipment.
The second aspect of the present invention provides an intelligent building garbage classification method, which is used for classifying the intelligent building garbage classification system provided by the first aspect of the present invention, and specifically includes the following steps:
acquiring a construction waste image in an area;
collecting data information of each parameter of the environment of the construction waste area;
identifying the type and biological characteristics according to the construction waste image;
detecting the surface of the construction waste according to the construction waste image;
judging whether the surface of the construction waste is complete or not;
and sorting the construction waste according to the construction waste with the type identification and the surface detection.
The invention also provides intelligent construction waste classification equipment, which is used for executing the intelligent construction waste classification method provided by the second aspect of the invention.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like parts are designated by like reference numerals throughout the drawings. In the drawings:
FIG. 1 is a block diagram of the intelligent construction waste classification system of the present application;
FIG. 2 is a block diagram of the environmental monitoring module and pollution assessment module of the present application;
fig. 3 is a flowchart of the intelligent building garbage classification method according to the present application.
Reference numerals:
1. a central processing module; 2. a construction waste image acquisition module; 3. a construction waste recognition module; 4. a construction waste detection module; 5. a construction waste sorting module; 6. a biometric identification module; 7. an environment monitoring module; 8. a pollution assessment module; 9. an alarm module; 10. an emergency braking module; 11. and a spraying dust removal module.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.
Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer or section from another region, layer or section. Terms such as "first," "second," and other numerical terms when used herein do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
For convenience of description, spatially relative terms, such as "inner", "outer", "lower", "below", "upper", "above", and the like, may be used herein to describe one element or feature's relationship to another element or feature as illustrated in the figures. Such spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" or "over" the other elements or features. Thus, the example term "below … …" can include both an orientation of above and below. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
As shown in fig. 1, according to an embodiment of the present invention, an intelligent building garbage classification system is provided, including: the system comprises a central processing module 1, a construction waste image acquisition module 2, a construction waste recognition module 3, a construction waste detection module 4, a construction waste sorting module 5, a biological characteristic recognition module 6 and an environment monitoring module 7 which are coupled with the central processing module 1, wherein an operation instruction, a pre-stored construction waste variety library and a pre-stored biological element library are also preset in the central processing module 1. The construction waste image acquisition module 2 is used for acquiring construction waste images in an area; the construction waste recognition module 3 is used for recognizing the type of the collected construction waste image; the construction waste detection module 4 is used for detecting the surface and the periphery of the construction waste and detecting whether the construction waste is complete or not; the construction waste sorting module 5 is used for sorting the construction waste with the type identification and the surface detection; the biological characteristic identification module 6 is used for identifying the characteristics of the living beings and judging whether the living beings are the living beings or not; the environment monitoring module 7 is used for collecting data information of the environmental parameters of the construction waste area.
Specifically, the construction waste image acquisition module 2 is configured to be coupled to the camera of the central processing module 1, and can acquire real-time image information of the construction waste image through the camera, transmit the acquired real-time image information to the construction waste recognition module 3, and determine the type of the construction waste of the acquired real-time image information by comparing the acquired real-time image information with a construction waste type library prestored in the central processing module 1. At this moment, the construction waste detection module 4 synchronously detects the surface and the circumferential surface of the construction waste of the collected image information, judges the integrity of the construction waste, and sorts the construction waste by the construction waste sorting module 5. The construction waste sorting module 5 comprises a mechanical raker, and the mechanical raker is used for separating and sorting construction waste which is subjected to type identification and surface detection.
The mechanical raker comprises a mechanical arm and a mechanical claw, wherein the mechanical arm is provided with a plurality of sections, the end part of the first section of the mechanical arm is fixedly installed on the body of the intelligent construction waste classification equipment through a flange, the plurality of sections of the mechanical arm are connected through a rotating shaft, and each section of the mechanical arm can rotate and stretch. The gripper is installed at the end of arm, and the gripper includes the electronic gripper body that opens and shuts, and the inboard that the claw is relative of gripper body all installs and is provided with anti-skidding thorn, and anti-skidding thorn can increase the frictional force between gripper body and the rubbish, avoids in the slip-off of sorting in-process rubbish from the gripper body.
If the detected construction waste with the identified type is complete, directly recycling and storing the complete construction waste through a mechanical pickpocket; if the detected type-identified construction waste is incomplete, the incomplete construction waste is raked away by a mechanical raker and sorted to a designated place of the same type, the construction waste is impacted and crushed by a crushing hammer, and then the materials are output and stored.
The biological characteristic recognition module 6 is an infrared thermal camera which is coupled with the central processing module 1 and is used for detecting and recognizing biological characteristics, when a living being is recognized through the infrared thermal camera in a building rubbish area, the recognized information is compared with the information in a biological element library prestored in the central processing module 1, and whether the living being is the living being or which living being is judged through various characteristics such as static state, dynamic state, expression, type and the like contained in the biological element library. When living beings appear, the classification of the construction waste is immediately stopped, and irreversible damage to the living beings existing in the construction waste is avoided.
Referring to fig. 1 and 2, the environment monitoring module 7 includes a smoke concentration sensor, a toxic gas sensor and an inhalable particle sensor, and realizes real-time monitoring of data information of various parameters such as smoke concentration, toxic gas and inhalable particle concentration in the building rubbish area environment, so that not only can environmental pollution be reduced, but also leakage of toxic gas in the classification process can be prevented, and personal health safety of nearby workers can be threatened.
According to the intelligent construction waste classification system, the central processing module 1 obtains construction waste image information in a designated area through the camera, the construction waste identification module 3 and the construction waste detection module 4 are used for carrying out type identification and integrity detection on waste in the collected construction waste image information, and then the construction waste subjected to type identification and surface detection is sorted through a mechanical pickpocket. Meanwhile, the organisms existing in the building rubbish area are subjected to feature recognition through the infrared thermal sensing camera, so that the personnel are prevented from being injured, and the data information of each parameter of the environment in the area is acquired through the environment monitoring module 7 to carry out real-time monitoring, so that the environmental pollution can be reduced, the leakage of toxic and harmful gas in the classification process can be prevented, and the personal health safety of nearby workers is threatened. Compared with the existing classification mode, the invention reduces the consumption cost, improves the sorting efficiency, and simultaneously solves the problem of physical and mental health risks brought to workers by the insecurity of environmental information when the construction wastes are sorted manually.
In some embodiments of the present invention, referring to fig. 1 and 2, the intelligent building waste classification system further includes a pollution evaluation module 8, and the pollution evaluation module 8 is connected to the environment monitoring module 7, and is configured to process the acquired data information and evaluate the environment condition according to the processed data. The pollution evaluation module 8 comprises a data analysis unit and an environment evaluation unit, wherein the data analysis unit is used for comparing data with a corresponding data threshold range preset in the central processing module 1, and if the data exceeds the corresponding preset data threshold range, the collected data information is marked as abnormal data; meanwhile, the environment evaluation unit evaluates the environment of the construction waste area according to the abnormal data and records the evaluation result in the central processing module 1.
In some embodiments of the present invention, the intelligent building garbage classification system further includes an alarm module 9, and the alarm module 9 is connected to the central processing module 1. The alarm module 9 includes a buzzer for emitting an alarm signal. When the environment monitoring module 7 monitors that the corresponding data thresholds of the environment of a certain area are the same, an alarm signal is sent out through the buzzer, and the alarm signal is uploaded to the central processing module 1 and recorded. Or when the infrared thermal sensing camera identifies organisms in the construction waste area, the classification of the construction waste is stopped, the buzzer sends out an alarm signal, and the worker is informed to go to the site for investigation in time, so that the personnel or other organism types are prevented from being injured.
Further, as shown in fig. 1, the intelligent building garbage classification system further includes an emergency braking module 10, the emergency braking module 10 is used for stopping the operation of the equipment, and the emergency braking module 10 is connected with the central processing module 1. When the thermal sensing camera of infrared ray discerned biology in the building rubbish region of sorting work, central processing module 1 assigned the instruction for emergency braking module 10, and emergency braking module 10 starts, and work such as the letter sorting of in time pause equipment, breakage and transportation can avoid personnel or other biological species to receive the injury to the at utmost, guarantee life safety.
Further, as shown in fig. 1, the intelligent building waste classification system further comprises a spraying dust removal module 11, wherein the spraying dust removal module 11 is used for removing dust, so that the environmental pollution is reduced, and the spraying dust removal module 11 is connected with the central processing module 1. Specifically, the spraying dust removal module 11 comprises a water pipe and a spray head, when the environment monitoring module 7 monitors that the smoke concentration and the inhalable particle concentration in the building rubbish regional environment exceed the range of the corresponding data threshold value preset in the central processing module 1, the central processing module 1 gives an instruction to the spraying dust removal module 11, and the spraying dust removal module 11 is opened to start spraying water for dust reduction. When the measured concentration value is lower than the range of the corresponding data threshold value, the spraying dust removal module 11 is closed.
A second aspect of the present invention provides an intelligent building garbage classification method, which is used for classifying the intelligent building garbage classification system provided in the first aspect of the present application, and as shown in fig. 3, the method specifically includes the following steps:
s1, acquiring construction waste images in the area, and acquiring data information of each parameter of the construction waste area environment;
s2, identifying the type and biological characteristics according to the collected construction waste images;
s3, detecting the surface of the construction waste according to the construction waste image and judging whether the construction waste image is complete or not;
and S4, sorting according to the construction waste with the type identification and the surface detection.
Specifically, the central processing module 1 obtains the construction waste image information in the designated area through the construction waste image obtaining module 2, and collects data information of each parameter of the environment in the area through the environment monitoring module 7 to perform real-time monitoring. The construction waste identification module 3 is used for identifying the type and the biological characteristics of the collected construction waste in the construction waste image information, the construction waste detection module 4 is used for detecting the integrity of the waste, and the construction waste sorting module 5 is used for sorting the construction waste with the type identified and the surface detected. The invention reduces the consumption cost of large machinery, improves the manual sorting efficiency, and simultaneously solves the problem of physical and psychological health risks brought to workers by the insecurity of environmental information when the construction wastes are sorted manually.
The invention further provides an intelligent construction waste classification device, which is used for executing the intelligent construction waste classification method provided by the second aspect of the application, and the effect of the intelligent construction waste classification method is provided above, so that the detailed description is omitted.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
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| CN202111110417.XA CN114004373A (en) | 2021-09-18 | 2021-09-18 | Intelligent building garbage classification system, method and equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117185376A (en) * | 2023-09-12 | 2023-12-08 | 河北省水利工程局集团有限公司 | A river management system |
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| CN112916416A (en) * | 2021-03-18 | 2021-06-08 | 武汉科技大学 | Building rubbish letter sorting system |
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- 2021-09-18 CN CN202111110417.XA patent/CN114004373A/en active Pending
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| CN106249626A (en) * | 2016-08-02 | 2016-12-21 | 成都易顺通环保科技有限公司 | Solid waste and house refuse pipeline intelligent control and collection method |
| CN206842232U (en) * | 2017-05-16 | 2018-01-05 | 浙江中呼科技股份有限公司 | A kind of intelligent garbage bin |
| CN112916416A (en) * | 2021-03-18 | 2021-06-08 | 武汉科技大学 | Building rubbish letter sorting system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117185376A (en) * | 2023-09-12 | 2023-12-08 | 河北省水利工程局集团有限公司 | A river management system |
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