Industrial equipment management system based on Internet of Things

Abstract

The invention discloses an industrial equipment management system based on Internet of Things, which comprises a data acquisition module, an equipment monitoring module and a program detection module, and is characterized in that the data acquisition module is used for collecting size data of a to-be-processed material, a moving track of a turning tool bit and a material processing turning program established by an operator; the equipment monitoring module is used for monitoring and repairing system faults in the running process of equipment and assisting maintenance personnel in locking the fault positions, and the program detection module is used for detecting whether a material machining turning program input by an operator can run under the condition of ensuring the safety of the equipment or not; the data acquisition module, the equipment monitoring module and the program detection module are electrically connected with one another, the data acquisition module comprises a visual module, a sensor module and an operation input module, and the visual module is used for collecting visual images of to-be-processed materials.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and in particular to an industrial equipment management system based on the Internet of Things. Background Art

[0002] With the continuous development of science and technology in my country, CNC machine tools, as a kind of processing equipment commonly used in the manufacturing industry, are widely used to replace manual control machine tools for processing, which greatly improves the production speed of my country's manufacturing industry. CNC machine tools turn metal workpieces according to the program set by the operator. However, manual operation is affected by human factors, and program settings may have built-in errors. The existing technology cannot identify whether the program can complete the cutting task, resulting in errors in the turning of the workpiece and the scrapping of the material. Even the CNC machine tool stage is turned and cannot be used. Moreover, when a system failure occurs after the CNC machine tool is turned on, sometimes the operator cannot solve it and needs to wait for the maintenance personnel to repair it, wasting a lot of time and energy waiting for the equipment to be repaired. In addition, when the CNC machine tool fails, the existing technology cannot effectively assist the maintenance personnel to lock the fault location, resulting in a long time for equipment failure repair and low utilization. Therefore, it is necessary to design an industrial equipment management system based on the Internet of Things to improve equipment utilization and efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide an industrial equipment management system based on the Internet of Things to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an industrial equipment management system based on the Internet of Things, comprising a data acquisition module, an equipment monitoring module and a program detection module, characterized in that: the data acquisition module is used to collect the size data of the material to be processed, the movement trajectory of the turning tool head and the material processing turning program entered by the operator, the equipment monitoring module is used to monitor the system failure of the equipment during operation and repair it, and assist the maintenance personnel to lock the fault location, the program detection module is used to detect whether the material processing turning program entered by the operator can be run while ensuring the safety of the equipment, and the data acquisition module, the equipment monitoring module and the program detection module are electrically connected to each other; The fault troubleshooting module includes a fault warning detection submodule, a system debugging submodule and a fault location analysis submodule. The fault warning detection submodule is used to detect system faults that occur during the operation of the equipment. The system debugging submodule is used to debug and repair the detected equipment system faults. The fault location analysis submodule is used to assist maintenance personnel in locking the fault location. The detection module includes a material detection submodule, a program detection submodule and a turning tool tracking submodule. The material detection submodule is used to detect the geometric properties of the material, the program detection submodule is used to detect whether the program entered by the operator can turn the material, and the turning tool tracking module is used to track the position of the tool head.

[0005] According to the above technical solution, the data acquisition module includes a visual module, a sensor module and an operation entry module. The visual module is used to collect visual images of the material to be processed, the sensor module is used to collect the operating status data of each module of the equipment during operation, and the operation entry module is used to collect the material processing and turning program typed by the operator on the equipment.

[0006] According to the above technical solution, the equipment monitoring module includes an information database, a fault inspection module and a fault recording module. The information database is used to store the fault repair records of each device and the types and locations of faults that are prone to occur in the equipment. The fault inspection module is used to detect and repair system faults that occur in the equipment during operation, and assist maintenance personnel to lock the equipment fault location. The fault recording module is used to record the fault cause and fault location of the current equipment.

[0007] According to the above technical solution, the program detection module includes a detection module and an equipment control module. The detection module is used to detect whether the material processing turning program entered by the operator can process the current material. The alarm module is used to issue an alarm and notify maintenance personnel to repair the equipment.

[0008] According to the above technical solution, the program detection module also includes an alarm module, and the equipment control module is used to control the CNC machine tool to stop turning when it is detected that the turning program cannot turn the material or the turning tool head will hit the machine tool.

[0009] According to the above technical solution, the operation method of the industrial equipment management system mainly includes the following steps: Step S1: When the CNC machine tool is turned on and ready to process materials, the system starts the system debugging submodule through an electrical signal and starts to analyze the parameter setting failure of the system after the equipment is started; Step S2: After the CNC machine tool system is debugged, the visual image of the material to be processed in all directions is captured through the visual module, and the load, voltage and current data of the equipment during operation are collected through the sensors arranged in each module of the equipment. The visual image of the material and the turning program edited by the operator are entered into the system through the operation input module, and the system retrieves the visual image of the material to be processed and the turning program through the code of the current equipment; Step S3: After the material visual image and turning program are entered, the system triggers the program detection module to start, and begins to analyze the geometric properties of the material and the rationality of the program created by the operator; Step S4: During the CNC machine tool processing, the tool tracking module is started to track the tool head position in real time and analyze the collision probability. At the same time, the fault location analysis module is started to analyze the cause and location of the fault.

[0010] According to the above technical solution, step S1 further includes the following steps: Step S11: After the equipment is turned on, the test program set by the system is retrieved according to the current equipment code, the CNC machine tool is started, and the data in the PLC and CNC modules in the current CNC machine tool system are retrieved. If it is detected that the test program exists in the PLC module of the current equipment system, but no data appears in the CNC module, it means that the interface between the PLC module and the CNC module is faulty; Step S12: When a problem is detected in the interface connection between the device PLC module and the CNC module, the system initializes the existing interface, calls the backup connection protocol to update the interface connection protocol between the device PLC module and the CNC module, and at the same time the system downloads the driver and updates it. If the test result at this time still shows that there is no data in the CNC module, an alarm is issued and the faulty module is marked on the display screen. Otherwise, a voice broadcast prompts that the device debugging is completed.

[0011] According to the above technical solution, step S3 further includes the following steps: Step S31: after the equipment debugging is completed, the visual image of the current material is retrieved, the visual image is scanned, the contour nodes of the image are identified, the surface feature nodes of the image are anchored, the feature nodes are marked with serial numbers in the order of up, down, left, right, front and back, and the contour nodes are connected in sequence to construct a material contour model; Step S32: when the operator builds a turning program, the turning parameters set by the operator in the current equipment are retrieved, and the parameter thresholds set in the system are retrieved according to the material characteristics and geometric properties of the material, and the parameters set by the operator are compared. If the parameters are within the threshold range, the equipment is allowed to run, otherwise the equipment is not allowed to run; Step S33: Retrieve the turning program entered by the operator, construct a workpiece model processed by the current turning program in the system according to the program, overlap and compare the workpiece model with the material contour model and the workpiece drawing model respectively, mark the unwrapped parts of the overlapping workpiece model, identify the marked part, measure the marked size, and compare it with the threshold set by the system. If the marked size is within the threshold range, an alarm is issued and the display screen prompts that there is a problem with the current turning program. Otherwise, it prompts that the detection is completed and the processing starts.

[0012] According to the above technical solution, step S4 further includes the following steps: Step S41: After the equipment starts running, the tool head travel trajectory model and the real-time position of the tool head simulated according to the turning program are retrieved, and the real-time position of the tool head is marked in the simulated tool head travel trajectory model. When the real-time position of the tool head deviates from the tool head travel trajectory model, the system immediately interrupts the processing of the workpiece and resets the tool head. Otherwise, the equipment continues to turn the workpiece according to the program. Step S42: Retrieve the three-dimensional point cloud data of the workpiece being processed by the current device, and use the three-dimensional point cloud data to construct an actual model of the part of the workpiece that has been turned, and overlap and compare the actual model of the part of the workpiece that has been turned with the workpiece drawing model. If the workpiece drawing model cannot completely cover the actual model of the part of the workpiece that has been turned, the system stops the operation of the device, otherwise it continues the processing; Step S43: In the process of continuously turning the workpiece, retrieve the cause of the equipment error, analyze the specific location of the equipment fault according to the cause of the equipment error, and assist maintenance personnel to locate the fault location.

[0013] According to the above technical solution, step S43 further includes the following steps: Step S431: retrieve the error code of the current device, read and identify the current error code, retrieve the error cause and historical solution in the database according to the current error code, and the system guides the operator to repair the device according to the historical solution. If the historical solution cannot solve the current problem, the system issues an alarm and notifies the maintenance personnel to perform maintenance; Step S432: Establish an information database, retrieve the historical fault locations corresponding to each fault cause of the current equipment according to the current equipment code, obtain the historical fault locations, retrieve the historical fault locations of the equipment under the current fault cause according to the equipment fault cause, assist maintenance personnel to lock the fault location, and save and record the fault cause, fault location and maintenance plan.

[0014] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention detects the interface connection status of the PLC module and the CNC module by applying a test program, thereby avoiding the device from being unable to operate after the program setting is completed, reducing the time for debugging the device, and improving the utilization rate of the device; by testing the system before turning the workpiece, it can ensure that the device can operate stably, avoiding the operator from wasting a lot of time waiting for maintenance personnel to repair the device when discovering problems during operation, and further improving the utilization rate of the device; by identifying the surface feature nodes of the material visual image and marking the serial numbers, it can accurately distinguish the various surfaces of the material, avoiding the situation in which the workpiece is scrapped due to material placement problems during the turning process, and effectively It reduces the scrap rate of workpieces and greatly reduces production costs. By preliminarily detecting whether the turning parameters meet the turning requirements of the material, it can avoid equipment damage or workpiece scrapping due to unreasonable parameter settings, further reduce the object processing time, and improve equipment efficiency. By detecting the error between the size of the workpiece model simulated according to the turning program and the size of the workpiece drawing model, it can avoid large errors in the size of the turned workpiece that lead to the scrapping of the workpiece, thereby improving the efficiency of workpiece processing. By real-time detection of whether the size of the workpiece currently being turned is qualified, it can avoid the equipment continuing to complete cutting when the workpiece has been scrapped, greatly reducing unnecessary processing time and greatly improving the processing efficiency of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1The present invention provides a technical solution: an industrial equipment management system based on the Internet of Things, including a data acquisition module, an equipment monitoring module and a program detection module, characterized in that: the data acquisition module is used to collect the size data of the material to be processed, the movement trajectory of the turning tool head and the material processing turning program entered by the operator, the equipment monitoring module is used to monitor the system failure of the equipment during operation and repair it, and assist the maintenance personnel to lock the fault location, the program detection module is used to detect whether the material processing turning program entered by the operator can be run while ensuring the safety of the equipment, and the data acquisition module, the equipment monitoring module and the program detection module are electrically connected to each other; The fault troubleshooting module includes a fault warning detection submodule, a system debugging submodule and a fault location analysis submodule. The fault warning detection submodule is used to detect system faults that occur during the operation of the equipment. The system debugging submodule is used to debug and repair the detected equipment system faults. The fault location analysis submodule is used to assist maintenance personnel in locking the fault location. The detection module includes a material detection submodule, a program detection submodule and a turning tool tracking submodule. The material detection submodule is used to detect the geometric properties of the material, the program detection submodule is used to detect whether the program entered by the operator can turn the material, and the turning tool tracking module is used to track the position of the tool head.

[0018] The data acquisition module includes a vision module, a sensor module and an operation entry module. The vision module is used to collect visual images of the materials to be processed, the sensor module is used to collect the operating status data of each module during the operation of the equipment, and the operation entry module is used to collect the material processing and turning programs typed by the operator on the equipment.

[0019] The equipment monitoring module includes an information database, a fault repair module and a fault recording module. The information database is used to store the fault repair records of each device and the types and locations of faults that are prone to occur in the equipment. The fault repair module is used to detect and repair system faults that occur in the equipment during operation, and assist maintenance personnel to lock the location of equipment faults. The fault recording module is used to record the cause and location of the current equipment fault.

[0020] The program detection module includes a detection module and an equipment control module. The detection module is used to detect whether the material processing turning program entered by the operator can process the current material. The alarm module is used to issue an alarm and notify maintenance personnel to repair the equipment.

[0021] The program detection module also includes an alarm module, and the equipment control module is used to control the CNC machine tool to stop turning when it is detected that the turning program cannot turn the material or the turning tool head will hit the machine tool.

[0022] The operation method of the industrial equipment management system mainly includes the following steps: Step S1: When the CNC machine tool is turned on and ready to process materials, the system starts the system debugging submodule through an electrical signal and starts to analyze the parameter setting failure of the system after the equipment is started; Step S2: After the CNC machine tool system is debugged, the visual image of the material to be processed in all directions is captured through the visual module, and the load, voltage and current data of the equipment during operation are collected through the sensors arranged in each module of the equipment. The visual image of the material and the turning program edited by the operator are entered into the system through the operation input module, and the system retrieves the visual image of the material to be processed and the turning program through the code of the current equipment; Step S3: After the material visual image and turning program are entered, the system triggers the program detection module to start, and begins to analyze the geometric properties of the material and the rationality of the program created by the operator; Step S4: During the CNC machine tool processing, the tool tracking module is started to track the tool head position in real time and analyze the collision probability. At the same time, the fault location analysis module is started to analyze the cause and location of the fault.

[0023] Step S1 further comprises the following steps: Step S11: After the equipment is turned on, the test program set by the system is retrieved according to the current equipment code, the CNC machine tool is started, and the data in the PLC and CNC modules of the current CNC machine tool system are retrieved. If it is detected that there is a test program in the PLC module of the current equipment system, but no data appears in the CNC module, it means that the interface between the PLC module and the CNC module is faulty. By applying the test program to detect the interface connection between the PLC module and the CNC module, it is avoided that the equipment cannot run after the program setting is completed, which can reduce the time for debugging the equipment and improve the utilization rate of the equipment. Step S12: When a problem is detected in the interface connection between the device PLC module and the CNC module, the system initializes the existing interface, calls the backup connection protocol to update the interface connection protocol between the device PLC module and the CNC module, and at the same time the system downloads the driver and updates it. If the test result at this time is still that there is no data in the CNC module, it means that there is a fault in the PLC module, and an alarm is issued and the faulty module is marked on the display screen. Otherwise, it means that the fault is repaired, and a voice broadcast prompts that the equipment debugging is complete. By testing the system before turning the workpiece, it can ensure that the equipment can operate stably, avoid the operator discovering problems during operation and wasting a lot of time waiting for maintenance personnel to repair, thereby further improving the utilization rate of the equipment.

[0024] Step S3 further comprises the following steps: Step S31: After the equipment is debugged, the visual image of the current material is retrieved, the visual image is scanned, the contour nodes of the image are identified, the surface feature nodes of the image are anchored, the feature nodes are marked with serial numbers in the order of up, down, left, right, front and back, and the contour nodes are connected in sequence to build a material contour model. By identifying the surface feature nodes of the material visual image and marking serial numbers, each surface of the material can be accurately distinguished, avoiding the situation in which the workpiece is scrapped due to material placement problems during the turning process, effectively reducing the scrap rate of the workpiece and greatly reducing the production cost; Step S32: When the operator builds a turning program, the turning parameters set by the operator in the current equipment are retrieved, and the parameter thresholds set in the system are retrieved according to the material characteristics and geometric properties of the material, and the parameters set by the operator are compared. If the parameters are within the threshold range, the equipment is allowed to run, otherwise, the equipment is not allowed to run. By preliminarily detecting whether the turning parameters meet the turning requirements of the material, it is possible to avoid equipment damage or workpiece scrapping due to unreasonable parameter settings, further reduce the object processing time, and improve the efficiency of the equipment; Step S33: Retrieve the turning program entered by the operator, construct a workpiece model processed by the current turning program according to the program in the system, overlap and compare the workpiece model with the material contour model and the workpiece drawing model respectively, mark the unwrapped part of the workpiece model after overlapping, identify the marked part, measure the marked size, and compare with the threshold set by the system. If the marked size is within the threshold range, it means that the current turning program is not suitable for the current material, and an alarm is issued and the display screen prompts that there is a problem with the current turning program. Otherwise, it means that the turning program can process the current material, and the prompt is completed to start processing. By detecting the error between the size of the workpiece model simulated according to the turning program and the size of the workpiece drawing model, it is possible to avoid large errors in the size of the workpiece after turning, which may lead to the scrapping of the workpiece, thereby improving the efficiency of workpiece processing.

[0025] Step S4 further comprises the following steps: Step S41: After the equipment starts running, the tool head travel trajectory model and the real-time position of the tool head simulated according to the turning program are retrieved, and the real-time position of the tool head is marked in the simulated tool head travel trajectory model. When the real-time position of the tool head deviates from the tool head travel trajectory model, the system immediately interrupts the processing of the workpiece and resets the tool head. Otherwise, the equipment continues to turn the workpiece according to the program. By real-time monitoring whether the head position is running according to the trajectory set by the program, it can be avoided that the equipment is still turning the workpiece when the tool head deviates, and the scrap rate of workpiece processing can be reduced. Step S42: retrieve the three-dimensional point cloud data of the workpiece being processed by the current device, and use the three-dimensional point cloud data to construct an actual model of the part of the workpiece that has been turned, and overlap and compare the actual model of the part of the workpiece that has been turned with the workpiece drawing model. If the workpiece drawing model cannot completely wrap the actual model of the part of the workpiece that has been turned, it means that the size of the actual model of the workpiece is unqualified, and the system stops the operation of the equipment. Otherwise, the processing continues. By real-time detection of whether the size of the workpiece currently being turned is qualified, it can be avoided that the equipment continues to complete the cutting when the workpiece has been scrapped, which greatly reduces unnecessary processing time, and can retain some materials to complete the turning of other workpieces, further reducing material waste and saving a lot of costs; Step S43: In the process of continuously turning the workpiece, retrieve the cause of the equipment error, analyze the specific location of the equipment fault according to the cause of the equipment error, and assist maintenance personnel to locate the fault location.

[0026] Step S43 further includes the following steps: Step S431: retrieve the error code of the current device, read and identify the current error code, retrieve the error cause and historical solution in the database according to the current error code, and the system guides the operator to repair the device according to the historical solution. If the historical solution cannot solve the current problem, the system issues an alarm and notifies the maintenance personnel to perform maintenance; Step S432: Establish an information database, retrieve the historical fault locations corresponding to each fault cause of the current equipment according to the current equipment code, obtain the historical fault locations, retrieve the historical fault locations of the equipment under the current fault cause according to the equipment fault cause, assist maintenance personnel in locking the fault location, and save and record the fault cause, fault location and maintenance plan. By retrieving the historical fault locations under the current fault cause of the current equipment, maintenance personnel can quickly lock the fault location of the current equipment, reduce equipment maintenance time, and further improve equipment utilization.

[0027] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0028] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An industrial equipment management system based on the Internet of Things, including a data acquisition module, an equipment monitoring module and a program detection module, characterized in that: The data acquisition module is used to collect the size data of the material to be processed, the movement trajectory of the turning tool head and the material processing turning program entered by the operator. The equipment monitoring module is used to monitor the system failure of the equipment during operation and repair it, and assist the maintenance personnel to lock the fault location. The program detection module is used to detect whether the material processing turning program entered by the operator can be run while ensuring the safety of the equipment. The data acquisition module, the equipment monitoring module and the program detection module are electrically connected to each other; The fault troubleshooting module includes a fault warning detection submodule, a system debugging submodule and a fault location analysis submodule. The fault warning detection submodule is used to detect system faults that occur during the operation of the equipment. The system debugging submodule is used to debug and repair the detected equipment system faults. The fault location analysis submodule is used to assist maintenance personnel in locking the fault location. The detection module includes a material detection submodule, a program detection submodule and a turning tool tracking submodule. The material detection submodule is used to detect the geometric properties of the material, the program detection submodule is used to detect whether the program entered by the operator can turn the material, and the turning tool tracking module is used to track the position of the tool head.

2. The industrial equipment management system based on the Internet of Things according to claim 1 is characterized in that: The data acquisition module includes a visual module, a sensor module and an operation entry module. The visual module is used to collect visual images of the material to be processed, the sensor module is used to collect the operating status data of each module of the equipment during operation, and the operation entry module is used to collect the material processing turning program typed by the operator on the equipment.

3. The industrial equipment management system based on the Internet of Things according to claim 2 is characterized in that: The equipment monitoring module includes an information database, a fault repair module and a fault recording module. The information database is used to store the fault repair records of each device and the types and locations of faults that are prone to occur in the equipment. The fault repair module is used to detect and repair system faults that occur in the equipment during operation, and assist maintenance personnel to lock the equipment fault location. The fault recording module is used to record the cause and location of the current equipment fault.

4. The industrial equipment management system based on the Internet of Things according to claim 3 is characterized in that: The program detection module includes a detection module and an equipment control module. The detection module is used to detect whether the material processing turning program entered by the operator can process the current material. The alarm module is used to issue an alarm and notify maintenance personnel to repair the equipment.

5. The industrial equipment management system based on the Internet of Things according to claim 4 is characterized in that: The program detection module also includes an alarm module, and the equipment control module is used to control the CNC machine tool to stop turning when it is detected that the turning program cannot turn the material or the turning tool head will hit the machine tool.

6. The industrial equipment management system based on the Internet of Things according to claim 5 is characterized in that: The operation method of the industrial equipment management system mainly includes the following steps: Step S1: When the CNC machine tool is turned on and ready to process materials, the system starts the system debugging submodule through an electrical signal and starts to analyze the parameter setting failure of the system after the equipment is started; Step S2: After the CNC machine tool system is debugged, the visual image of the material to be processed in all directions is captured through the visual module, and the load, voltage and current data of the equipment during operation are collected through the sensors arranged in each module of the equipment. The visual image of the material and the turning program edited by the operator are entered into the system through the operation input module, and the system retrieves the visual image of the material to be processed and the turning program through the code of the current equipment; Step S3: After the material visual image and turning program are entered, the system triggers the program detection module to start, and begins to analyze the geometric properties of the material and the rationality of the program created by the operator; Step S4: During the CNC machine tool processing, the tool tracking module is started to track the tool head position in real time and analyze the collision probability. At the same time, the fault location analysis module is started to analyze the cause and location of the fault.

7. The industrial equipment management system based on the Internet of Things according to claim 6 is characterized in that: The step S1 further comprises the following steps: Step S11: After the equipment is turned on, the test program set by the system is retrieved according to the current equipment code, the CNC machine tool is started, and the data in the PLC and CNC modules in the current CNC machine tool system are retrieved. If it is detected that the test program exists in the PLC module of the current equipment system, but no data appears in the CNC module, it means that the interface between the PLC module and the CNC module is faulty; Step S12: When a problem is detected in the interface connection between the device PLC module and the CNC module, the system initializes the existing interface, calls the backup connection protocol to update the interface connection protocol between the device PLC module and the CNC module, and at the same time the system downloads the driver and updates it. If the test result at this time still shows that there is no data in the CNC module, an alarm is issued and the faulty module is marked on the display screen. Otherwise, a voice broadcast prompts that the device debugging is completed.

8. The industrial equipment management system based on the Internet of Things according to claim 7 is characterized in that: The step S3 further comprises the following steps: Step S31: after the equipment debugging is completed, the visual image of the current material is retrieved, the visual image is scanned, the contour nodes of the image are identified, the surface feature nodes of the image are anchored, the feature nodes are marked with serial numbers in the order of up, down, left, right, front and back, and the contour nodes are connected in sequence to construct a material contour model; Step S32: when the operator builds a turning program, the turning parameters set by the operator in the current equipment are retrieved, and the parameter thresholds set in the system are retrieved according to the material characteristics and geometric properties of the material, and the parameters set by the operator are compared. If the parameters are within the threshold range, the equipment is allowed to run, otherwise the equipment is not allowed to run; Step S33: Retrieve the turning program entered by the operator, construct a workpiece model processed by the current turning program in the system according to the program, overlap and compare the workpiece model with the material contour model and the workpiece drawing model respectively, mark the unwrapped parts of the overlapping workpiece model, identify the marked part, measure the marked size, and compare it with the threshold set by the system. If the marked size is within the threshold range, an alarm is issued and the display screen prompts that there is a problem with the current turning program. Otherwise, it prompts that the detection is completed and the processing starts.

9. The industrial equipment management system based on the Internet of Things according to claim 8, characterized in that: The step S4 further comprises the following steps: Step S41: After the equipment starts running, the tool head travel trajectory model and the real-time position of the tool head simulated according to the turning program are retrieved, and the real-time position of the tool head is marked in the simulated tool head travel trajectory model. When the real-time position of the tool head deviates from the tool head travel trajectory model, the system immediately interrupts the processing of the workpiece and resets the tool head. Otherwise, the equipment continues to turn the workpiece according to the program. Step S42: Retrieve the three-dimensional point cloud data of the workpiece being processed by the current device, and use the three-dimensional point cloud data to construct an actual model of the part of the workpiece that has been turned, and overlap and compare the actual model of the part of the workpiece that has been turned with the workpiece drawing model. If the workpiece drawing model cannot completely cover the actual model of the part of the workpiece that has been turned, the system stops the operation of the device, otherwise it continues the processing; Step S43: In the process of continuously turning the workpiece, retrieve the cause of the equipment error, analyze the specific location of the equipment fault according to the cause of the equipment error, and assist maintenance personnel to locate the fault location.

10. The industrial equipment management system based on the Internet of Things according to claim 9, characterized in that: The step S43 further comprises the following steps: Step S431: retrieve the error code of the current device, read and identify the current error code, retrieve the error cause and historical solution in the database according to the current error code, and the system guides the operator to repair the device according to the historical solution. If the historical solution cannot solve the current problem, the system issues an alarm and notifies the maintenance personnel to perform maintenance; Step S432: Establish an information database, retrieve the historical fault locations corresponding to each fault cause of the current equipment according to the current equipment code, obtain the historical fault locations, retrieve the historical fault locations of the equipment under the current fault cause according to the equipment fault cause, assist maintenance personnel to lock the fault location, and save and record the fault cause, fault location and maintenance plan.

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