Precast beam steel bar automatic machining system and method based on Internet of Things and storage medium

Abstract

The invention relates to the technical field of steel bar machining, in particular to an automatic precast beam steel bar machining system and method based on the Internet of Things and a storage medium. The automatic machining system comprises a machining module, a detection module, an assembling module and a control module, and the control module sends corresponding control instructions to the machining module, the detection module and the assembling module through the Internet of Things, so that machining of the precast beam steel bars is automatic, the production efficiency is improved, and machining errors caused by manual operation are avoided. The invention further provides an automatic processing method and a storage medium.

Description

Technical Field

[0001] The present invention relates to the technical field of steel bar processing, and in particular to an Internet of Things-based prefabricated beam steel bar automated processing system, a processing method and a storage medium. Background Art

[0002] In the prior art, steel bars are one of the most widely used and largest materials in civil engineering structures. Before pouring concrete, the steel bars must be made into a skeleton of certain specifications and forms and loaded into the formwork, which requires strengthening, stretching, straightening, cutting, bending, connecting and other processing to form a steel skeleton. Due to the large amount of steel bars used, manual operation has low production efficiency, high labor intensity, and difficult to control processing quality and time schedule.

[0003] The prefabrication of high-speed railway box girders includes the main processes of steel bar production and installation, template grinding, concrete pouring, prestressing, grouting of channels, beam body concrete maintenance, anchor hole roughening and anchor sealing, and beam end waterproof coating spraying. At present, other processes except steel bar production and installation have achieved breakthroughs in intelligent construction. However, the traditional box girders have unstable quality and low efficiency due to the large variety and quantity of steel bars, high labor costs and primitive technology. Therefore, steel bar production and installation have become the bottleneck of the intelligentization of the entire process of high-speed railway box girders.

[0004] In the process of making high-speed railway box girders, how to realize the automated processing of prefabricated beam reinforcement has become an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0005] In order to solve the problems and shortcomings existing in the prior art, the present invention provides an automated processing system, processing method and storage medium for precast beam steel bars based on the Internet of Things, so that a control module sends control instructions to a processing module, a detection module and an assembly module through the Internet of Things, so that the processing module, the detection module and the assembly module cooperate with each other under the instructions of the control module, thereby realizing automated processing of precast beam steel bars and improving the processing efficiency of precast beam steel bars.

[0006] Specifically, the present invention provides an automated processing system for prefabricated beam reinforcement based on the Internet of Things. The automated processing system for prefabricated beam reinforcement based on the Internet of Things includes a processing module, a detection module, an assembly module and a control module; The processing module processes the steel bar according to the target feature of the steel bar to obtain a steel bar component, the steel bar component has a shape set by the target feature, and there are multiple types of the steel bar component; The control module is connected to the processing module, the detection module and the assembly module; the control module generates and sends control instructions to the processing module, the detection module and the assembly module through the Internet of Things; The assembly module selects qualified steel bar components for pairing and welding according to the instruction of the control module to obtain a single-piece prefabricated beam skeleton; The detection module is connected to the processing module, and is used to detect the performance of the steel bar component and determine whether the steel bar component is qualified according to the detection result and the instruction of the control module.

[0007] Optionally, the Internet of Things-based prefabricated beam reinforcement automated processing system further includes: A storage bin, the storage bin is used to classify and store the qualified steel bar components; A transmission device, wherein the transmission device transports the qualified reinforcement components to the storage bin; A counting device is provided, wherein the counting device obtains the quantity of different steel bar components in the storage bin and sends the quantity of each steel bar component to the control module through the Internet of Things.

[0008] Optionally, the processing module includes straightening equipment, rust removal equipment, cutting equipment and bending equipment.

[0009] Optionally, the assembly module includes: A workpiece fixture, which is customized according to the prefabricated beam monolithic frame and includes a limit assembly to fix the reinforcement member in a corresponding position; A loading device, which places the steel bar component at a corresponding position of the workpiece fixture; A welding robot is provided with a scanning sensor, wherein the scanning sensor identifies a weld position, and the welding robot automatically performs welding according to the weld position.

[0010] Furthermore, the present invention also provides an automated processing method for prefabricated beam reinforcement based on the Internet of Things, the processing method comprising: The control module issues a steel bar processing instruction to the processing module, so that the processing module straightens, removes rust, cuts and bends the steel bars to obtain steel bar components; The control module issues a detection instruction of the steel bar component to the detection module, so that the detection module detects the steel bar component and determines a qualified steel bar component; The control module issues a transmission instruction of the steel bar component to the transmission device, so that the transmission device transmits the qualified steel bar component to the storage bin, and stores the qualified steel bar components of different specifications in the storage bin respectively; The control module issues an assembly instruction to the assembly module, so that the assembly module selects steel bar components from the storage bin for pairing and welding to obtain a single-piece prefabricated beam skeleton.

[0011] Optionally, before the automated processing system starts working, the following steps are included: Presetting control instructions for the control module according to the structure of the prefabricated beam; The working process of the automated processing system includes: The control module obtains the detection result of the detection module through the Internet of Things, compares the detection result with the preset target feature, and modifies the preset control instruction according to the comparison result; The control module obtains the counting result of the counting device through the Internet of Things, compares the counting result with a threshold, and modifies the preset control instruction according to the comparison result.

[0012] Optionally, before the automated processing system starts working, according to the structure of the prefabricated beam, a control instruction is preset for the control module, including: a first processing instruction, wherein when the number of the steel bar components of all specifications is less than or equal to a maximum threshold and greater than or equal to a minimum threshold, and the number of the steel bar components of all specifications is less than the minimum threshold, the processing module processes different steel bar components according to the proportion of the steel bar components in the precast beam monolithic skeleton; A second processing instruction, wherein the second processing instruction is that when the number of the steel bar components of all specifications is greater than a maximum threshold, the processing module stops working; The highest threshold value and / or the lowest threshold value of the steel bar components of different specifications may be the same or different.

[0013] Optionally, before the automated processing system starts working, according to the structure of the prefabricated beam, a control instruction is preset for the control module, and further includes: When the control module receives a signal that the number of some of the steel bar components is less than a minimum threshold, it issues a control instruction to give priority to the production of the corresponding steel bar components; or When the control module receives a number of the steel bar components that is greater than a maximum threshold, it issues a control instruction to stop producing the corresponding steel bar components; The highest threshold value and / or the lowest threshold value of the steel bar components of different specifications may be the same or different.

[0014] Furthermore, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above-mentioned automated processing methods is executed.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) The automated processing system for precast beam reinforcement is equipped with processing modules, detection modules, assembly modules and control modules. The control module sends corresponding control instructions to the processing modules, detection modules and assembly modules through the Internet of Things, so that the processing of precast beam reinforcement is automated, production efficiency is improved, and processing errors caused by manual operation are avoided.

[0016] (2) The control module obtains the detection results of the detection module through the Internet of Things. The control module corrects the processing instructions according to the difference between the detection results of the steel bar component and the pre-stored target characteristics, controls the error of the processed steel bar component, and improves the processing accuracy.

[0017] (3) The control module obtains the counting results of the counting device through the Internet of Things and modifies the processing instructions based on the obtained counting results, thereby avoiding the shortage of some steel bar components or their accumulation in the storage bin when assembling the single-piece skeleton of the precast beam, thereby optimizing the processing and arrangement.

[0018] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings: Figure 1 is a schematic diagram of an automated processing system for prefabricated beam reinforcement bars based on the Internet of Things according to an embodiment of the present invention; Figure 2 is a schematic diagram of an automated processing system for prefabricated beam reinforcement bars based on the Internet of Things according to yet another embodiment of the present invention; Figure 3 The present invention is a flowchart of an automated processing method for prefabricated beam reinforcement based on the Internet of Things according to an embodiment of the present invention.

[0020] In the figure: 1-automatic processing system, 10-control module, 20-processing module, 30-detection module, 40-assembly module, 50-transmission device, 60-storage bin, 70-counting device. DETAILED DESCRIPTION

[0021] Refer to the following Figures 1 to 3To describe an automated processing system, processing method and storage medium for prefabricated beam reinforcement based on the Internet of Things in an embodiment of the present invention. In the description of this embodiment, it should be understood that the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features, that is, include one or more of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. When a feature "includes or contains" one or some of the features it covers, unless otherwise specifically described, this indicates that other features are not excluded and other features may be further included.

[0022] In the description of the present embodiment, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0023] Figure 1 FIG. 1 is a schematic diagram of an automated processing system for prefabricated beam reinforcement bars based on the Internet of Things according to an embodiment of the present invention. Figure 1 As shown, combined with Figures 2 to 3 The present invention provides an automated processing system 1 for prefabricated beam reinforcement bars based on the Internet of Things, a processing method and a storage medium. The automated processing system 1 for prefabricated beam reinforcement bars based on the Internet of Things comprises a processing module 20, a control module 10, a detection module 30 and an assembly module 40. The processing module 20 processes the reinforcement bars according to the target characteristics of the reinforcement bars to obtain reinforcement bars. The reinforcement bars have a shape set by the target characteristics, and there are multiple reinforcement bars. The specific number of types is determined according to the decomposition of the prefabricated beam monolithic skeleton. The control module 10 is connected to the processing module 20, the detection module 30 and the assembly module 40, and generates and issues control instructions to the processing module 20, the detection module 30 and the assembly module 40 through the Internet of Things. The detection module 30 is connected to the processing module 20 to detect the performance of the reinforcement bars obtained after processing by the processing module 20, and determines whether the reinforcement bars are qualified according to the detection results and the instructions of the control module 10. The assembly module 40 selects qualified reinforcement bars for assembly and welding according to the instructions of the control module 10, and finally obtains the prefabricated beam monolithic skeleton.

[0024] In this embodiment, the work of the prefabricated beam reinforcement automatic processing system 1 includes the following process: first, the control module 10 presets the control instructions for reinforcement processing, detection and assembly. After the prefabricated beam reinforcement automatic processing system 1 starts working, the control module 10 sends the processing control instructions to the processing module 20 through the Internet of Things. The processing module 20 processes the reinforcement into a reinforcement component of a specific shape according to the control instructions sent by the control module 10. Secondly, after receiving the detection control instructions sent by the control module 10 through the Internet of Things, the detection module 30 starts the detection work, performs performance detection on the reinforcement component processed by the processing module 20, and determines whether the reinforcement component is qualified according to the detection results. It should be noted that the control instructions sent by the control module 10 to the detection module 30 not only include asking the detection module 30 to start the detection, but also include the qualified standards of different reinforcement components. The detection module 30 determines whether the reinforcement component is qualified after comparing the detection results with the qualified standards. Finally, the assembly module 40 grabs qualified reinforcement components in turn according to the requirements in the control instructions according to the control instructions for assembly sent by the control module 10 through the Internet of Things, and assembles and welds the reinforcement components to obtain a single-piece skeleton of the prefabricated beam. It should be noted that the shape of the precast beam monolithic frame is pre-set, and the steel bar components are designed based on the precast beam monolithic frame. The types, quantities, and pairing methods of the steel bar components that constitute the same precast beam monolithic frame are the same.

[0025] In this embodiment, the prefabricated beam reinforcement automated processing system 1 is provided with a processing module 20, a detection module 30, an assembly module 40 and a control module 10. The control module 10 sends corresponding control instructions to the processing module 20, the detection module 30 and the assembly module 40 respectively through the Internet of Things, so that the processing of the prefabricated beam reinforcement is automated, the production efficiency is improved, and the processing errors caused by manual operation are avoided.

[0026] In some embodiments of the Internet of Things-based prefabricated beam steel bar automated processing system 1 of the present invention, the control module 10 obtains the detection result of the detection module 30 on the steel bar component, the control module 10 compares the obtained detection result with the corresponding target feature, and partially modifies the control instruction according to the comparison result.

[0027] Specifically, the control module 10 pre-stores target features of the steel bar component, and different target features correspond to different control instructions. After the control module 10 obtains the detection result of the steel bar component, it compares the detection result with the pre-stored target features of the corresponding steel bar component, modifies the corresponding processing instructions according to the comparison result, and sends the modified processing instructions to the processing module 20 through the Internet of Things, so that the target features of the steel bar component processed by the processing module 20 are consistent with the corresponding pre-stored target features.

[0028] In this embodiment, the control module 10 obtains the detection result of the detection module 30 through the Internet of Things. The control module 10 revises the processing instructions according to the difference between the detection result of the steel bar component and the pre-stored target characteristics, controls the error of the processed steel bar component, and improves the processing accuracy.

[0029] like Figure 2 As shown, in some embodiments of the prefabricated beam reinforcement automatic processing system 1 based on the Internet of Things of the present invention, the automatic processing system 1 also includes a storage bin 60, a transmission device 50 and a counting device 70. The storage bin 60 is used to classify and store qualified reinforcement components. The transmission device 50 transports qualified reinforcement components to the storage bin 60. The counting device 70 obtains the number of different reinforcement components in the storage bin 60, and sends the number of each reinforcement component to the control module 10 through the Internet of Things.

[0030] In this embodiment, the automated processing system 1 further includes a storage bin 60, a transmission device 50 and a counting device 70. The transmission device 50 receives the instruction issued by the control module 10 and transports the qualified steel bar components to the storage bin 60 for storage. Specifically, different types of steel bar components are stored separately. The counting device 70 obtains the number of each type of steel bar components in real time, and sends the obtained number result to the control module 10 through the Internet of Things. The control module 10 adjusts the processing arrangement of different types of steel bar components according to the received number result.

[0031] In this embodiment, the storage bin 60 provides a transfer site for qualified steel bar components, and the counting device 70 enables the control module 10 to issue reasonable control instructions to the processing module 20, so as to avoid the loss of some steel bar components when assembling the precast beam monolithic frame, or the accumulation of some steel bar components in the storage bin 60. Finally, the optimization of the production arrangement of the precast beam monolithic frame is achieved.

[0032] In some embodiments of the present invention, the number of storage bins 60 is consistent with the number of counting devices 70, and the number of storage bins 60 is consistent with the number of types of steel bar components. That is, each type of steel bar component has a separate storage bin 60, and each storage bin 60 corresponds to a counting device 70. The qualified steel bar components are transported to the corresponding storage bin 60 by the transmission device 50 according to their types. In this embodiment, it is possible to avoid mixing different types of steel bar components, so that the counting is accurate and the grouping is convenient.

[0033] In some embodiments of the Internet of Things-based automated processing system 1 for prefabricated beam reinforcement bars of the present invention, the processing module 20 includes straightening equipment, rust removal equipment, cutting equipment, and bending equipment.

[0034] In this embodiment, the processing module 20 includes a straightening device, a rust removal device, a cutting device and a bending device which are sequentially arranged in the process. During the operation of the automated processing system 1, the steel bar passes through the straightening device, the rust removal device, the cutting device and the bending device sequentially to realize the automation of production.

[0035] In some embodiments of the prefabricated beam reinforcement automatic processing system 1 based on the Internet of Things of the present invention, the assembly module 40 includes a workpiece fixture, a feeding device and a welding robot. The workpiece fixture is customized according to the prefabricated beam monolithic frame, and includes a limit assembly to fix the reinforcement component at a corresponding position. The feeding device places the reinforcement component at a corresponding position of the workpiece fixture. The welding robot has a scanning sensor, which identifies the weld position, and the welding robot automatically welds according to the weld position.

[0036] Specifically, the steel bar components required to form the monolithic skeleton of the precast beam have been clearly decomposed in the early design stage, and the control instructions for the loading order of the corresponding steel bar components when obtaining the monolithic skeleton of the precast beam are preset in the control module 10. During the operation of the automated processing system 1, the control module 10 sends a control instruction to the loading device, and the loading device places the steel bar components in the workpiece fixture in sequence according to the received control instruction. Afterwards, the limiting device on the workpiece fixture limits the steel bar components and clamps the steel bar components. Next, the scanning sensor on the welding robot scans the steel bar components in the workpiece fixture as a whole and identifies the position of the weld during the scan. Finally, the welding robot welds according to the weld position identified by the scanning sensor, and finally obtains the monolithic skeleton of the precast beam.

[0037] In this embodiment, a welding robot is selected for welding, which greatly saves manpower and improves the automation level of the processing system.

[0038] like Figure 3 As shown, the present invention also provides an automated processing method for prefabricated beam reinforcement based on the Internet of Things, and the automated processing method includes: Step S20, the control module 10 issues a steel bar processing instruction to the processing module 20, so that the processing module 20 straightens, removes rust, cuts and bends the steel bars to obtain a steel bar component; Step S30, the control module 10 issues a steel bar component detection instruction to the detection module 30, so that the detection module 30 detects the steel bar component and determines the qualified steel bar component; Step S40, the control module 10 issues a transmission instruction of the steel bar component to the transmission device 50, so that the transmission device 50 transmits the qualified steel bar component to the storage bin 60, and stores the qualified steel bar components of different specifications in the storage bin 60 respectively; In step S50, the control module 10 issues an assembly instruction to the assembly module 40, so that the assembly module 40 selects steel bar components from the storage bin 60 for assembly and welding to obtain a prefabricated beam monolithic skeleton.

[0039] It should be noted that the processing instructions, detection instructions, assembly instructions and transmission instructions are all control instructions set in the control module 10. Specifically, the control module 10 issues control instructions to the processing module 20, the detection module 30, the transmission device 50 and the assembly module 40 respectively, and the processing module 20, the detection module 30, the transmission device 50 and the assembly module 40 perform the actions set in the instructions on the steel bars and / or steel bar components according to the control instructions received by each, and complete the assembly of the prefabricated beam monolithic skeleton.

[0040] In this embodiment, a control module 10, a processing module 20, a detection module 30, a transmission device 50 and an assembly module 40 are set. The control module 10 controls the execution actions of the processing module 20, the detection module 30, the transmission device 50 and the assembly module 40 to realize the intelligent operation of prefabricated beam reinforcement processing.

[0041] This embodiment provides a processing method based on the above-mentioned automated processing system 1, so that the above-mentioned automated processing system 1 can be promoted and applied in actual production.

[0042] like Figure 3 As shown, in some embodiments of the method for automated processing of prefabricated beam reinforcement bars based on the Internet of Things of the present invention, before the automated processing system 1 starts working, the following steps are included: Step S10, preset control instructions for the control module 10 according to the structure of the prefabricated beam; During the working process of the automated processing system 1, it includes: Step S60, the control module 10 obtains the detection result of the detection module 30 through the Internet of Things, compares the detection result with the preset target feature, and modifies the preset control instruction according to the comparison result; In step S70, the control module 10 obtains the counting result of the counting device 70 through the Internet of Things, and modifies the preset control instruction according to the comparison result based on the counting result and the threshold.

[0043] Specifically, in the early design stage, the decomposition design is performed according to the structure of the precast beam monolithic skeleton, and the type and quantity of the steel bar components required to construct the precast beam monolithic skeleton and the pairing order of the precast beam monolithic skeleton are determined. According to the type and quantity of the steel bar components and the pairing order of the precast beam monolithic skeleton, the corresponding work instructions are determined, and the work instructions are preset in the control module 10, so that the control module 10 has the preset control instructions. During the operation of the automated processing system 1, the detection module 30 detects the steel bar components under the control of the detection instructions, and the control module 10 obtains the detection results of the detection module 30 through the Internet of Things, and corrects the preset control instructions when there is a deviation between the detection results and the preset target features, obtains new control instructions, and controls the operation of the processing module 20 according to the new control instructions. The counting device 70 counts different types of steel bar components respectively under the control instructions of the detection module 30, and the control module 10 obtains the counting results of the counting device 70 through the Internet of Things, and adjusts the work instructions issued to the processing module 20 when there is a deviation between the counting results and the threshold range. In this embodiment, the preset control instructions are adjusted according to the detection results of the detection module 30 and the counting results of the counting device 70, so as to further enhance the intelligence of the prefabricated beam reinforcement processing.

[0044] In some embodiments of the method for automated processing of steel bars of prefabricated beams based on the Internet of Things of the present invention, the control instructions preset for the control module 10 according to the structure of the prefabricated beams include: The first processing instruction is that when the number of steel bar components of all specifications is less than or equal to the highest threshold and greater than or equal to the lowest threshold, and the number of steel bar components of all specifications is less than the lowest threshold, the processing module 20 processes different steel bar components according to the proportion of steel bar components in the prefabricated beam monolithic skeleton; The second processing instruction is that when the number of steel bar components of all specifications is greater than the maximum threshold, the processing module 20 stops working; The maximum threshold and / or minimum threshold of steel bar components of different specifications may be the same or different.

[0045] Specifically, the control module 10 has a first processing instruction and a second processing instruction. In this embodiment, according to the comparison result between the number of steel bars of different types of steel bar components and the threshold, the control module 10 sends different processing instructions to the processing module 20 to avoid the accumulation of steel bar components.

[0046] In some embodiments of the method for automated processing of prefabricated beam reinforcement bars based on the Internet of Things of the present invention, before the automated processing system 1 starts working, the control module 10 is preset with control instructions according to the structure of the prefabricated beam, and further includes: The third processing instruction is to give priority to producing the corresponding steel bar components when the control module 10 receives that the number of some steel bar components is less than the minimum threshold; A fourth processing instruction, when the control module 10 receives that the number of some steel bar components is greater than the maximum threshold, stops producing the corresponding steel bar components; The maximum threshold and / or minimum threshold of steel bar components of different specifications may be the same or different.

[0047] In this embodiment, when the number of some steel bar components is less than the minimum threshold, production is prioritized, and when the number is greater than the maximum threshold, production is stopped, so that the use and processing arrangements of materials are more reasonable.

[0048] The present invention provides a computer-readable storage medium, which stores instructions. When the instructions are executed, any of the above-mentioned automated processing methods is executed.

[0049] Unless otherwise specified, the device elements involved in the above embodiments are all conventional device elements, and the structural settings, working modes or control modes involved are all conventional settings, working modes or control modes in the art unless otherwise specified.

[0050] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. An automated processing system for prefabricated beam reinforcement based on the Internet of Things, characterized in that: It includes processing module, detection module, assembly module and control module; The processing module processes the steel bar according to the target feature of the steel bar to obtain a steel bar component, the steel bar component has a shape set by the target feature, and there are multiple types of the steel bar component; The control module is connected to the processing module, the detection module and the assembly module; the control module generates and sends control instructions to the processing module, the detection module and the assembly module through the Internet of Things; The assembly module selects qualified steel bar components for pairing and welding according to the instruction of the control module to obtain a single-piece prefabricated beam skeleton; The detection module is connected to the processing module, and is used to detect the performance of the steel bar component and determine whether the steel bar component is qualified according to the detection result and the instruction of the control module.

2. The prefabricated beam reinforcement automatic processing system based on the Internet of Things according to claim 1 is characterized in that: Also includes: A storage bin, the storage bin is used to classify and store the qualified steel bar components; A transmission device, wherein the transmission device transports the qualified reinforcement components to the storage bin; A counting device is provided, wherein the counting device obtains the quantity of different steel bar components in the storage bin and sends the quantity of each steel bar component to the control module through the Internet of Things.

3. The prefabricated beam reinforcement automatic processing system based on the Internet of Things according to claim 1 is characterized in that: The processing module includes straightening equipment, rust removal equipment, cutting equipment and bending equipment.

4. The prefabricated beam reinforcement automatic processing system based on the Internet of Things according to claim 1 is characterized in that: The assembly module comprises: A workpiece fixture, which is customized according to the prefabricated beam monolithic frame and includes a limit assembly to fix the reinforcement member in a corresponding position; A loading device, which places the steel bar component at a corresponding position of the workpiece fixture; A welding robot is provided with a scanning sensor, wherein the scanning sensor identifies a weld position, and the welding robot automatically performs welding according to the weld position.

5. An automated processing method for prefabricated beam reinforcement based on the Internet of Things, the processing method comprising: The control module issues a steel bar processing instruction to the processing module, so that the processing module straightens, removes rust, cuts and bends the steel bars to obtain steel bar components; The control module issues a detection instruction of the steel bar component to the detection module, so that the detection module detects the steel bar component and determines a qualified steel bar component; The control module issues a transmission instruction of the steel bar component to the transmission device, so that the transmission device transmits the qualified steel bar component to the storage bin, and stores the qualified steel bar components of different specifications in the storage bin respectively; The control module issues an assembly instruction to the assembly module, so that the assembly module selects steel bar components from the storage bin for pairing and welding to obtain a single-piece prefabricated beam skeleton.

6. The method for automated processing of prefabricated beam reinforcement bars based on the Internet of Things according to claim 5, characterized in that: Before the automated processing system starts working, it includes: Presetting control instructions for the control module according to the structure of the prefabricated beam; The working process of the automated processing system includes: The control module obtains the detection result of the detection module through the Internet of Things, compares the detection result with the preset target feature, and modifies the preset control instruction according to the comparison result; The control module obtains the counting result of the counting device through the Internet of Things, compares the counting result with a threshold, and modifies the preset control instruction according to the comparison result.

7. The method for automated processing of prefabricated beam reinforcement bars based on the Internet of Things according to claim 6, characterized in that: Before the automated processing system starts working, control instructions are preset for the control module according to the structure of the prefabricated beam, including: a first processing instruction, wherein when the number of the steel bar components of all specifications is less than or equal to a maximum threshold and greater than or equal to a minimum threshold, and the number of the steel bar components of all specifications is less than the minimum threshold, the processing module processes different steel bar components according to the proportion of the steel bar components in the prefabricated beam monolithic skeleton; A second processing instruction, wherein the second processing instruction is that when the number of the steel bar components of all specifications is greater than a maximum threshold, the processing module stops working; The highest threshold value and / or the lowest threshold value of the steel bar components of different specifications may be the same or different.

8. The method for automated processing of prefabricated beam reinforcement bars based on the Internet of Things according to claim 6, characterized in that: Before the automated processing system starts working, according to the structure of the prefabricated beam, the control module is preset with control instructions, and further includes: When the control module receives a signal that the number of some of the steel bar components is less than a minimum threshold, it issues a control instruction to give priority to the production of the corresponding steel bar components; or When the control module receives a number of the steel bar components that is greater than a maximum threshold, it issues a control instruction to stop producing the corresponding steel bar components; The highest threshold value and / or the lowest threshold value of the steel bar components of different specifications may be the same or different.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the automated processing method according to any one of claims 5 to 8 is performed.

Images