Automatic identification method and system for building components

Abstract

The invention discloses an automatic identification system and method for a building component, and the system comprises an identification label disposed on the component, a reading device for scanning and reading basic information from the identification label, and a central control system. The method executed by the central control system comprises the steps that received basic information of components is sent to the background server, so that the background server obtains corresponding assembly progress information and an assembly mode from a constructed three-dimensional building model according to the basic information; after assembly progress information and an assembly mode transmitted from the background server are received, a first taking and placing sequence, a first mounting position and a matched first accessory of the component are determined; according to the scheme, the working efficiency and accuracy of installation and assembly of the prefabricated parts can be improved, the safety and reliability of building construction are guaranteed, and follow-up traceability and tracking are facilitated. The scheme can be widely applied to the field of fabricated building construction.

Description

Technical Field

[0001] The present invention relates to automatic recognition technology, and in particular to an automatic recognition method and system for building components. Background Art

[0002] With the rapid development of urbanization, the demand for building construction is increasing. In order to improve the efficiency of building construction, the construction method of prefabricated buildings came into being. Prefabricated buildings refer to the transfer of a large number of on-site operations in traditional construction methods to factories, where the required building components, i.e. prefabricated components, such as prefabricated floor slabs, prefabricated beams, prefabricated walls, prefabricated columns, prefabricated stairs, etc., are processed and manufactured in factories, and assembled and installed on site through reliable connection methods. It can be seen that in the construction method of prefabricated buildings, the type, installation location, installation method, etc. of each prefabricated component must be correctly identified and confirmed. Otherwise, when these prefabricated components are assembled, there will be damage between the components due to installation mismatch, or because of the misassembly of components with similar appearance, which will cause instability in the local structure and its safety cannot be guaranteed. At present, the type of prefabricated components, the required installation location, and the installation method on the construction site are basically identified and confirmed by professionals, which not only increases the workload and has low processing efficiency, but also makes it difficult to trace the wrongly assembled prefabricated components in the future, resulting in safety hazards in the constructed building. Summary of the invention

[0003] In view of this, the present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes an automatic identification method and system for building components to improve work processing efficiency and ensure the safety of building construction.

[0004] In a first aspect, an embodiment of the present application provides an automatic identification system for building components, the system comprising:

[0005] An identification label, provided on the component;

[0006] A reading device, used to scan the identification tag and send the basic information of the component obtained by scanning to the central control system;

[0007] The central control system includes at least one processor for loading a program to perform the following steps:

[0008] The received basic information of the component is sent to the backend server, so that the backend server obtains the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information;

[0009] After receiving the assembly progress information and the assembly method transmitted from the background server, the first pick-up and placement sequence, the first installation position and the matching first accessories of the components are determined.

[0010] Furthermore, the identification tag is a passive RFID, the reading device is an RFID reading device, and the passive RFID is embedded in the component.

[0011] Furthermore, the identification label is a two-dimensional code label, the reading device is a two-dimensional code scanning device, and the two-dimensional code label is arranged on the surface of the component.

[0012] Furthermore, the system includes:

[0013] The picking and placing equipment is controlled by the central control system and is used to grab the component to the corresponding position according to the first installation position when it is determined that the component is at an installation progress node according to the first picking and placing sequence of the component, and to grab the corresponding accessory to the corresponding position according to the first accessory.

[0014] Furthermore, the picking and placing device is specifically used to grab the component to a corresponding position according to the first installation position and to grab the corresponding accessory to the corresponding position according to the first accessory when it is determined according to the first picking and placing sequence that the component is at an installation progress node and the quality of the component meets the requirements.

[0015] Further, the quality of the component can be tested by the following steps:

[0016] Acquiring first image data of the component;

[0017] identifying defects existing on the component according to image features extracted from the first image data;

[0018] When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

[0019] Further, the quality of the component can be tested by the following steps:

[0020] Acquiring first image data and first ultrasonic data of the component;

[0021] identifying defects existing on the component according to image features extracted from the first image data and sound features extracted from the first ultrasonic data;

[0022] When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

[0023] Further, the defects existing on the component are identified according to the image features extracted from the first image data and the sound features extracted from the first ultrasonic data, which is specifically:

[0024] The image features and sound features are used to form a quality data input matrix;

[0025] After the data input matrix is ​​input into the neural network training model for processing, the defect recognition results are output.

[0026] Furthermore, the system includes:

[0027] a first camera device, configured to photograph the component in response to a first detection trigger instruction transmitted from the central control system to obtain the first image data;

[0028] A first ultrasonic detection device is used to respond to a second detection trigger instruction transmitted by the central control system to perform ultrasonic signal detection on the component to obtain first ultrasonic data;

[0029] The first camera device and the first ultrasonic detection device are both communicatively connected to the central control system.

[0030] In a second aspect, an embodiment of the present application provides a method for automatically identifying building components, the method comprising the following steps:

[0031] Acquiring basic information of the component, wherein the basic information of the component is obtained by scanning an identification tag set on the component using a reading device;

[0032] Sending the basic information of the component to the backend server, so that the backend server can obtain the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information;

[0033] After receiving the assembly progress information and the assembly method transmitted from the backend server, determining the first pick-and-place sequence, the first installation position and the matching first accessory of the component;

[0034] When it is determined that the component is at an installation progress node according to the first picking and placing sequence of the component, a first control instruction is sent to a picking and placing device to enable the picking and placing device to respond to the first control instruction, grab the component to a corresponding position according to the first installation position, and grab the corresponding accessory to a corresponding position according to the first accessory.

[0035] The present application can achieve the following technical effects: the present application scheme includes an identification tag set on a component. When the identification tag is scanned by a reading device, the basic information on the component can be obtained, and then sent to the central control system. The central control system can send the received basic information of the component to the background server, so that the background server can obtain the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information. Finally, after receiving the assembly progress information and assembly method transmitted from the background server, the central control system determines the first picking and placing sequence, the first installation position and the matching first accessory of the component. In this way, the picking and placing device can be controlled to perform corresponding picking and placing operations on the component according to the information of the first picking and placing sequence, the first installation position and the matching first accessory. It can be seen that by scanning the identification label on the component, the unique ID, construction type and other basic information of the component can be identified, and then the assembly progress of the component in the project progress and the corresponding assembly method in the constructed three-dimensional building model can be used to control the pick-and-place equipment to perform corresponding pick-and-place control. In this way, the component is automatically identified to realize the corresponding automatic assembly control operation, which not only reduces the workload of construction personnel and improves processing efficiency, but also ensures the reliability and safety of the assembly, and is conducive to the traceability tracking of the subsequent entire building assembly construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments.

[0037] Figure 1 A schematic diagram of the structure of an automatic identification system for building components provided in an embodiment of the present application;

[0038] Figure 2 This is a circuit block diagram of an embodiment of an RFID reading device in the system of the embodiment of the present application;

[0039] Figure 3 A schematic flow chart of the steps of an automatic identification method for building components provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described through the implementation method with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0041] In order to improve the assembly efficiency of building components and ensure the safety and stability of the overall building construction, refer to Figure 1 The embodiment of the present application provides an automatic identification system for building components, which mainly includes an identification tag, a reading device and a central control system. The specific descriptions thereof are as follows.

[0042] ①. Label

[0043] As for the identification tag, it is set on the component. The identification tag stores its basic information, which mainly includes the unique ID of the component. By obtaining the unique ID, the type, life, supplier, installation method and other related information of the component can be identified and obtained. It can be seen that there is no need for manual identification, which reduces the workload and improves the recognition accuracy. In addition, compared with using image technology to identify and distinguish the type of components by identifying the appearance of the components, the use of identification tags to realize component type recognition has simpler and faster data processing and higher accuracy.

[0044] In some embodiments, the identification tag is a passive RFID, and the passive RFID is embedded in the component.

[0045] Specifically, RFID tags can be divided into active RFID and passive RFID. For active RFID, a battery needs to be installed inside to power it, while for passive RFID, a battery is not required inside, and it mainly relies on the radio frequency signal emitted by the RFID reader to power it. When the passive RFID electronic tag enters the effective coverage area of ​​the antenna, its antenna can receive the radio frequency signal emitted by the RFID reader, and based on the principle of electromagnetic field coupling, the tag can obtain power energy. For the field of building components, since the RFID electronic tag needs to be embedded in the component, if the battery in the tag is damaged due to the compression of the material of the component during the embedding process, the tag cannot be used. At the same time, since the use time of the built building is generally as long as several decades, the battery life of the battery in the active RFID tag is very high. Based on these two factors, this embodiment preferably adopts a passive RFID tag to ensure the effectiveness of use and reduce the purchase cost of the identification tag. When a passive RFID is used to implement the identification tag, it is generally embedded in the component.

[0046] In some embodiments, since the RFID tag needs to be embedded in the component, the depth of the RFID tag embedded in the component must be appropriate. If the depth of the RFID tag is too large, the signal strength transmitted between the tag and the reading device will be weakened, resulting in garbled data and errors. If the depth is too small, the RFID tag will easily peel off the component. For this reason, the identification tag can be a QR code tag, and the QR code tag can be set on the surface of the component. It can be seen that by adopting this method, there is no need to consider the setting embedding depth of the tag.

[0047] Specifically, for the two-dimensional code label, the two-dimensional code pattern can be attached to the surface of the component by label pasting, laser engraving, spray painting, etc. As for the attachment method, it can be selected according to the color, material, type, texture and other factors of the component itself, and is not specifically limited here. It can be seen that compared with RFID identification tags, two-dimensional code tags do not need to accurately grasp their setting depth during installation and setting, which is more convenient to achieve, and the cost of the two-dimensional code label itself is lower.

[0048] It should be noted that the selection of RFID electronic tags or QR code tags as the above-mentioned identification tags can be made based on actual needs and factors such as the manufacturing process of the component and its own material. In other words, for the building components included in the building, the identification tags set therein can all be RFID electronic tags or QR code tags, or both tags can be stored at the same time.

[0049] ②. A reading device is used to scan the identification tag and send the basic information of the component obtained by scanning to the central control system.

[0050] When the identification tag is a passive RFID electronic tag, the reading device should be an RFID reading device. Figure 2, the RFID reading device mainly includes an antenna, a radio frequency module and a read-write module, the antenna, the radio frequency module and the read-write module are connected in sequence, and the read-write module is connected to the central control system in communication. Among them, the radio frequency module is the radio frequency front end of the reading device, which mainly includes a signal transmitter and a signal receiver. The signal transmitter mainly modulates the signal to be sent and sends it to the RFID electronic tag through the antenna, wherein the signal sent can be a trigger instruction for triggering the RFID electronic tag to send basic information, or the signal sent is used to power the RFID electronic tag; the signal receiver mainly demodulates the received signal and transmits it to the read-write module. For the read-write module, it is generally composed of a signal amplifier, a codec, a microprocessor, a clock power supply, a standard interface, a power supply, etc. It can decode the signal transmitted by the radio frequency module to obtain the information transmitted by the RFID electronic tag, such as the basic information of the component, and it can encode the information to be written into the RFID electronic tag and then transmit it to the radio frequency module, and send it to the RFID electronic tag through the antenna to complete the information writing operation of the electronic tag; the microprocessor in the read-write module can also communicate with the central control system through the standard interface to realize data transmission between the two. The antenna is the front-end component of the signal transmitter and the signal receiver, and is used to transmit the radio frequency carrier generated by the signal transmitter and receive the radio frequency carrier transmitted from the electronic tag.

[0051] When the identification label is a QR code label, the reading device is a QR code scanning device. The QR code scanning device may be a laser QR code scanning device, which identifies and confirms the pattern of the QR code based on the intensity difference between the emitted and received laser signals. Alternatively, the QR code scanning device may be a general image scanning device, which obtains the image data of the QR code by photographing the QR code. After decoding and identifying the pattern / image data of the QR code, the basic information of the corresponding component can be obtained.

[0052] ③. Central control system.

[0053] Specifically, it comprises at least one processor for loading a program to execute the following method steps.

[0054] S1. Sending the received basic information of the component to a backend server, so that the backend server can obtain corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information.

[0055] Specifically, in the process of building construction, a BIM model, i.e., a three-dimensional building model, will be pre-constructed. The constructed BIM model contains at least the following information: the three-dimensional geometric shape of the building, spatial position information, material properties of the building (such as material type, color, texture, etc.), equipment system information of the building (such as electrical system, HVAC system, drainage system, etc.), construction progress and cost information of the building. Generally, for the construction progress information of the building, it mainly includes the completion percentage of each construction node, so that the construction control personnel can understand and grasp the progress. In this embodiment, the construction progress information will also include the components required for each construction progress node, and the corresponding assembly method of the component. Therefore, when the construction progress node to which the component belongs is determined from the information of the three-dimensional building model through the unique ID of the component, then the corresponding assembly progress information can be further queried and confirmed. This information is used to characterize which node the component needs to be assembled at, and the assembly method matched by the component can also be obtained.

[0056] S2. After receiving the assembly progress information and the assembly method transmitted from the background server, determine the first pick-up and placement sequence, the first installation position and the matching first accessories of the components.

[0057] Specifically, since the node at which the component is assembled is obtained, the order of picking and placing the component can be confirmed based on this information. For example, the component a belongs to the A node and the component b belongs to the B node. Based on the construction progress A→B, the component a is first grabbed and assembled and installed. After all the processes with the A node are completed, the process construction of the B node will be carried out, and the component b is allowed to be picked up and placed. In other words, according to the order of picking and placing the components, it can be judged whether the current component is in the installation progress node, that is, whether it is in the progress node currently under construction. If so, the component can be allowed to be picked up and placed in the corresponding position for installation, otherwise, it is not allowed to be picked up and placed. As for the assembly method matched by the component, it includes the installation position of the component and the auxiliary accessories required for its fixed installation. In this way, the automatic picking and placing equipment can place the component in the required installation position based on this information, and also pick up and place the corresponding auxiliary accessories in the installation position, so that the construction personnel or the automatic installation equipment can directly assemble the components and accessories that have been placed here at the installation position. It can be seen that this can ensure the accurate identification of components and accessories and place them in the corresponding positions, which not only improves the work processing efficiency, but also ensures the accuracy and safety of component assembly work.

[0058] In addition, for the above accessories, such as bolts, nuts, auxiliary stabilization tools, spirit levels, etc., they can also be identified by setting corresponding identification labels, so as to achieve automatic identification and placement. Since the principle and steps of automatic identification and placement of components are basically the same, they will not be repeated here.

[0059] Based on the above principles, in one embodiment, the system may further include a pick-and-place device.

[0060] The picking and placing equipment is controlled by the central control system and is used to grab the component to the corresponding position according to the first installation position when it is determined that the component is at the installation progress node according to the first picking and placing sequence of the component, and to grab the corresponding accessory to the corresponding position according to the first accessory. The corresponding position is basically the same as the position where the above-mentioned component is grabbed and placed, and both are the installation positions required for assembly of the current component.

[0061] Specifically, according to the order of picking and placing components, it can be judged whether the current component is at the installation progress node, that is, whether it is at the progress node currently under construction. This judgment process can be processed by the central control system and the processing result is sent to the pick-and-place device. When the pick-and-place device receives this processing result, and this processing result is that the component is at the installation progress node, the corresponding pick-and-place operation is performed. Of course, the above-mentioned judgment process can also be executed by the processor of the pick-and-place device itself, and this embodiment does not make specific limitations here.

[0062] In one embodiment, in order to further ensure the safety of building construction, it is preferred to perform quality inspection on the components before installing and assembling them. Only when the quality of the components meets the requirements, the subsequent installation and assembly process will be continued. Otherwise, the situation that the components do not meet the quality requirements will be fed back to the background server through the central control system for recording. Therefore, for the picking and placing equipment, it can be specifically used to grab the component to the corresponding position according to the first installation position when it is determined that the component is at the installation progress node and the quality of the component meets the requirements according to the first picking and placing sequence of the component, and grab the corresponding accessories to the corresponding position according to the first accessories.

[0063] The above-mentioned records of components that do not meet quality requirements can be beneficial to the optimization and improvement of subsequent resource reallocation, loss prediction, cost control and other procedures.

[0064] In one embodiment, the quality of the component can be detected by the following steps:

[0065] Acquiring first image data of the component;

[0066] identifying defects existing on the component according to image features extracted from the first image data;

[0067] When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

[0068] Specifically, for the first image data, it is an initial image obtained after photographing the component by a camera device, and then the initial image is pre-processed in sequence by noise reduction, collision, brightness, contrast, edge sharpening, smoothing filtering, etc. to obtain image data; then, image feature extraction is performed on the first image, wherein the image feature includes color, shape, size, etc., so as to determine whether there are defects such as cracks, warping, deformation, etc. based on these features; then, based on the attributes of these features, such as their position on the component, their size, their depth (such as the depth of cracks), their degree of deformation, etc., in accordance with the content of the building quality specifications, it is determined whether the current component is still within the allowable range required by the quality specifications. If so, the quality of the component meets the requirements, otherwise it does not meet the requirements.

[0069] Furthermore, in order to improve the recognition accuracy, a neural network training model is used to realize defect recognition, that is, specifically, based on the image features extracted from the first image data, the defects on the component are identified. Specifically, the image features extracted from the first image data are input into the neural network training model for processing and recognition, and an identification result of whether there are defects on the component is obtained. If so, the corresponding relevant information about the defect is extracted from the result information, for example, its size, depth, etc.

[0070] In some embodiments, image recognition technology can only identify defects on the surface of components, but it is difficult to identify defects inside them. For example, although there are no cracks on the surface of a certain part of the column, the thickness of the part is already very thin, or the part has been deformed and stretched to be very fragile, but the corresponding cracks, corrosion, collisions and other problems cannot be detected from the outside. Therefore, ultrasonic detection technology can be used to detect the inside of the component. Since the propagation speed of ultrasonic signals on components with different structures, materials and thicknesses and the reflected signal strength and spectrum are all different, the ultrasonic data obtained after ultrasonic detection of the component can be analyzed and processed to determine the corresponding defect problem. Therefore, the quality of the component can be detected in this embodiment through the following steps:

[0071] Acquiring first image data and first ultrasonic data of the component;

[0072] identifying defects existing on the component according to image features extracted from the first image data and sound features extracted from the first ultrasonic data;

[0073] When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

[0074] In some embodiments, similarly, due to the high recognition accuracy of the neural network training model, the defects existing on the component are identified based on the image features extracted from the first image data and the sound features extracted from the first ultrasonic data, which are specifically:

[0075] The image features and sound features are used to form a quality data input matrix;

[0076] After the data input matrix is ​​input into the neural network training model for processing, the defect recognition results are output.

[0077] Of course, for the above-mentioned neural network training model, it is necessary to use historical image features and historical sound features to train it in the early stage until the error range of the recognition result it outputs is within an allowable range.

[0078] Based on the above quality inspection steps, it can be seen that the system may also include:

[0079] a first camera device, configured to photograph the component in response to a first detection trigger instruction transmitted from the central control system to obtain the first image data;

[0080] A first ultrasonic detection device is used to respond to a second detection trigger instruction transmitted by the central control system to perform ultrasonic signal detection on the component to obtain first ultrasonic data;

[0081] The first camera device and the first ultrasonic detection device are both communicatively connected to the central control system.

[0082] Specifically, since the pick-and-place device has a pick-and-place end, such as an automated grasping robot arm, preferably, the first camera device and the first ultrasonic detection device can be installed at the pick-and-place end of the pick-and-place device. In this way, the pick-and-place device can move the automated grasping robot arm to allow the camera device and the ultrasonic detection device to completely photograph and ultrasonically detect the component, which is more conducive to improving the accuracy of subsequent component quality identification, and the camera device and the ultrasonic detection device can be automatically moved, and the detection is more flexible.

[0083] Of course, the above-mentioned first camera equipment and ultrasonic detection equipment can also be set on an unmanned aircraft, which can be selected according to actual construction needs.

[0084] Reference Figure 3 ,The specific steps of the automatic recognition method of building components based on the ,system above can be shown as follows.

[0085] A1. The central control system sends a first trigger instruction to the reading device to put the reading device into working state, thereby scanning the identification tag set on the component, obtaining the basic information of the component, and feeding back the basic information of the component to the central control system.

[0086] A2. The central control system obtains basic information of components.

[0087] A3. Sending the basic information of the component to the backend server, so that the backend server can obtain the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information.

[0088] A4. After receiving the assembly progress information and the assembly method from the background server, determine the first pick-and-place sequence, the first installation position and the matching first accessory of the component according to the assembly progress information and the assembly method.

[0089] A5. When it is determined that the component is at an installation progress node according to the first picking and placing sequence of the component, a first control instruction is sent to a picking and placing device to enable the picking and placing device to respond to the first control instruction, grab the component to a corresponding position according to the first installation position, and grab the corresponding accessory to a corresponding position according to the first accessory.

[0090] For step A5, it may specifically include: when it is determined according to the first picking and placing sequence of the component that the component is at an installation progress node and the quality of the component meets the requirements, sending a first control instruction to the picking and placing device to enable the picking and placing device to respond to the first control instruction, grab the component to the corresponding position according to the first installation position, and grab the corresponding accessory to the corresponding position according to the first accessory.

[0091] Furthermore, the step A5 may include the following sub-steps.

[0092] A51. When the central control system determines that the component is at an installation progress node according to the first pick-and-place sequence of the component, the central control system issues a first detection trigger instruction to the first camera device, so that the first camera device responds to the first detection trigger instruction from the central control system and photographs the component to obtain the first image data, and issues a second detection trigger instruction to the first ultrasonic detection device, so that the first ultrasonic detection device responds to the second detection trigger instruction from the central control system and performs ultrasonic signal detection on the component to obtain the first ultrasonic data;

[0093] A52. After the central control system obtains the first image data and the first ultrasonic data of the component, it identifies defects on the component based on image features extracted from the first image data and sound features extracted from the first ultrasonic data. When the defects on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements. At this time, it is judged that the quality of the component meets the requirements, and the subsequent installation and assembly process of the component can be continued.

[0094] A53. The central control system sends a first control instruction to the pick-and-place device, so that the pick-and-place device responds to the first control instruction, grabs the component to the corresponding position according to the first installation position, and grabs the corresponding accessory to the corresponding position according to the first accessory.

[0095] It can be seen that by adopting the above-mentioned automatic identification scheme, the component placement order, installation position and matching installation accessories can be identified quickly and accurately, which is conducive to the rapid processing of component assembly work, and can ensure the safety and reliability of the overall work, and is also conducive to subsequent traceability tracking.

[0096] Since the central control system in the present system embodiment includes at least one processor, which can be used to execute the above-mentioned method embodiment steps applicable to itself, the beneficial effects of the method of this embodiment are the same as the beneficial effects of the above-mentioned system embodiment, and will not be elaborated in detail here.

[0097] In addition, the present application also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the above method embodiment.

[0098] For the processors mentioned in the above storage medium embodiment and the system embodiment, the number can be at least 1, and at least any step in the above method embodiment can be executed. When the number is at least two, at least two processors can be connected to each other by communication, not limited to wired or wireless communication connection, and the at least one processor can be connected to various intelligent terminal devices by communication. In addition, the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0099] Finally, it should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. An automatic identification system for building components, characterized in that: The system includes: An identification label, provided on the component; A reading device, used to scan the identification tag and send the basic information of the component obtained by scanning to the central control system; The central control system includes at least one processor for loading a program to perform the following steps: The received basic information of the component is sent to the backend server, so that the backend server obtains the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information; After receiving the assembly progress information and the assembly method transmitted from the background server, the first pick-up and placement sequence, the first installation position and the matching first accessories of the components are determined.

2. The system according to claim 1, characterized in that The identification tag is a passive RFID, the reading device is an RFID reading device, and the passive RFID is embedded in the component.

3. The system according to claim 1, characterized in that The identification label is a two-dimensional code label, the reading device is a two-dimensional code scanning device, and the two-dimensional code label is arranged on the surface of the component.

4. The system according to claim 1, characterized in that The system also includes: The picking and placing equipment is controlled by the central control system and is used to grab the component to the corresponding position according to the first installation position when it is determined that the component is at an installation progress node according to the first picking and placing sequence of the component, and to grab the corresponding accessory to the corresponding position according to the first accessory.

5. The system according to claim 4, characterized in that The picking and placing device is specifically used to grab the component to the corresponding position according to the first installation position and to grab the corresponding accessory to the corresponding position according to the first accessory when it is determined that the component is at an installation progress node and the quality of the component meets the requirements according to the first picking and placing sequence of the component.

6. The system according to claim 5, characterized in that The quality of the component can be tested by the following steps: Acquiring first image data of the component; identifying defects existing on the component according to image features extracted from the first image data; When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

7. The system according to claim 5, characterized in that The quality of the component can be tested by the following steps: Acquiring first image data and first ultrasonic data of the component; identifying defects existing on the component according to image features extracted from the first image data and sound features extracted from the first ultrasonic data; When the defects existing on the component do not exceed the quality specification requirements, it is determined that the quality of the component meets the requirements.

8. The system according to claim 7, characterized in that The method of identifying defects on the component according to the image features extracted from the first image data and the sound features extracted from the first ultrasonic data is specifically as follows: The image features and sound features are used to form a quality data input matrix; After the data input matrix is ​​input into the neural network training model for processing, the defect recognition results are output.

9. The system according to claim 7, characterized in that The system also includes: a first camera device, configured to photograph the component in response to a first detection trigger instruction transmitted from the central control system to obtain the first image data; A first ultrasonic detection device is used to respond to a second detection trigger instruction transmitted by the central control system to perform ultrasonic signal detection on the component to obtain first ultrasonic data; The first camera device and the first ultrasonic detection device are both communicatively connected to the central control system.

10. A method for automatically identifying building components, characterized in that: The method comprises the following steps: Acquiring basic information of the component, wherein the basic information of the component is obtained by scanning an identification tag set on the component using a reading device; Sending the basic information of the component to the backend server, so that the backend server can obtain the corresponding assembly progress information and assembly method from the constructed three-dimensional building model according to the basic information; After receiving the assembly progress information and the assembly method transmitted from the backend server, determining the first pick-and-place sequence, the first installation position and the matching first accessory of the component; When it is determined that the component is at an installation progress node according to the first picking and placing sequence of the component, a first control instruction is sent to a picking and placing device to enable the picking and placing device to respond to the first control instruction, grab the component to a corresponding position according to the first installation position, and grab the corresponding accessory to a corresponding position according to the first accessory.

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