Production line intelligent control method and equipment for precision machine part machining detection drill bit

Abstract

The embodiment of the invention relates to the field of precision machining, in particular to a production line intelligent control method and equipment for a precision machine part machining detection drill bit. A specific embodiment of the method comprises the following steps: a login subsystem verifies user login information to generate a verification result; the precision machine part processing management subsystem sends the equipment information and the engineering information set to the user terminal; the precision machine part processing management subsystem updates the equipment information and the engineering information set; the assembly line cooperative control subsystem sends preset machine part machining parameter information to the user terminal; the assembly line cooperative control subsystem responds to a received machine part machining starting command sent by the user terminal, and machine part machining is started; and the assembly line cooperative control subsystem responds to a received machine part machining stop command sent by the user terminal and stops machine part machining. According to the embodiment, waste of machining resources of the detection drill bit can be reduced.

Description

Technical Field

[0001] Embodiments of the present application relate to the field of precision machining, and more particularly to an intelligent control method and device for a production line of a detection drill bit for precision mechanical part machining. Background Art

[0002] A detection drill bit can be machined through precision mechanical parts for more accurate underground resource exploitation. Currently, when machining a detection drill bit, the commonly used method is to control the precision mechanical parts to machine the detection drill bit according to a set mechanical part machining command (including the number of detection drill bits to be machined).

[0003] However, it is found in practice that when machining a detection drill bit in the above manner, the following technical problems often exist:

[0004] When controlling the precision mechanical parts to machine the detection drill bit according to a set mechanical part machining command, since the set command is difficult to change, when the user wants to change the parameters of the mechanical part machining, the parameters of the mechanical part machining can only be changed after the mechanical part machining command is completed, resulting in the machining of redundant detection drill bits that do not meet the user's requirements, causing waste of detection drill bit machining resources. Summary of the Invention

[0005] This section of the present application is used to briefly introduce concepts, which will be described in detail in the subsequent Detailed Description section. This section of the present application is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0006] Some embodiments of the present application propose an intelligent control method for a production line of a detection drill bit for precision mechanical part machining, a computer device, and a computer-readable storage medium to solve one or more of the technical problems mentioned in the above Background Art section.

[0007] In a first aspect, some embodiments of the present application provide an intelligent control method for a production line of a detection drill for precision mechanical parts, which is applied to an intelligent control system of a production line. The intelligent control system of the production line includes: a login subsystem, a precision mechanical parts processing management subsystem, and a pipeline collaborative control subsystem. The method includes: the login subsystem responds to receiving user login information sent by a user terminal, verifies the user login information to generate a verification result; the login subsystem responds to determining that the verification result meets a preset verification condition, sends a preset login success message to the user terminal, and sends the user login information to the precision mechanical parts processing management subsystem and the pipeline collaborative control subsystem; the precision mechanical parts processing management subsystem responds to receiving the user login information, sends equipment information and an engineering information set to the user terminal; the precision mechanical parts processing management subsystem responds to receiving an equipment management request sent by the user terminal, updates the equipment information and the engineering information set, and sends the updated equipment information and engineering information set to the pipeline collaborative control subsystem; the pipeline collaborative control subsystem responds to receiving the user login information, sends preset mechanical parts processing parameter information to the user terminal; the pipeline collaborative control subsystem responds to receiving a mechanical parts processing start command sent by the user terminal, starts mechanical parts processing based on the updated equipment information and engineering information set to generate a mechanical parts processing start time, target equipment information, and target engineering information, and stores the mechanical parts processing start time, the mechanical parts processing start command, the target equipment information, and the target engineering information in a schedule information; the pipeline collaborative control subsystem responds to receiving a mechanical parts processing stop command sent by the user terminal, stops the mechanical parts processing to generate detection drill processing information and a mechanical parts processing stop time, and stores the detection drill processing information, the mechanical parts processing stop time, and the mechanical parts processing stop command in the schedule information.

[0008] In a second aspect, the present application further provides a computer device, which includes a processor, a memory, and a computer program stored on the memory and executable by the processor. When the computer program is executed by the processor, the method described in any implementation manner of the first aspect is implemented.

[0009] In a third aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in any implementation manner of the first aspect is implemented.

[0010] The above-mentioned embodiments of the present application have the following beneficial effects: Through the intelligent control method for the production line of the precision mechanical part processing detection drill bit in some embodiments of the present application, the processing resources of the detection drill bit can be reduced. Specifically, the reason for the waste of the processing resources of the detection drill bit is as follows: When controlling the precision mechanical part processing detection drill bit through the set mechanical part processing command, since the set command is difficult to change, when the user wants to change the parameters of the mechanical part processing, the parameters of the mechanical part processing can only be changed after the mechanical part processing command is completed, resulting in the processing of extra detection drill bits that do not meet the user's requirements, causing waste of the processing resources of the detection drill bit. Based on this, in some embodiments of the present application, for the intelligent control method of the production line of the precision mechanical part processing detection drill bit, first, the above-mentioned login subsystem responds to receiving the user login information sent by the user terminal, and verifies the user login information to generate a verification result. Thus, the user login information sent by the user terminal can be verified, so that the user terminal with successful verification can access the intelligent control system of the production line later to ensure the security of the intelligent control system of the production line. Secondly, when the login subsystem determines that the verification result meets the preset verification conditions, it sends the preset login success information to the user terminal, and sends the user login information to the precision mechanical part processing management subsystem and the pipeline collaborative control subsystem. Then, in response to receiving the user login information, the precision mechanical part processing management subsystem sends the equipment information and the project information set to the user terminal. After that, in response to receiving the equipment management request sent by the user terminal, the precision mechanical part processing management subsystem updates the equipment information and the project information set, and sends the updated equipment information and the project information set to the pipeline collaborative control subsystem. Thus, the precision mechanical part processing management subsystem can update the equipment information and the project information set in real time according to the equipment management request sent by the user terminal. Then, in response to receiving the user login information, the pipeline collaborative control subsystem sends the preset mechanical part processing parameter information to the user terminal. Thus, the pipeline collaborative control subsystem can send the preset mechanical part processing parameter information representing the current processing situation of the mechanical part to the user terminal, so that the user terminal can start or pause the mechanical part processing. After that, in response to receiving the mechanical part processing start command sent by the user terminal, based on the updated equipment information and the project information set, the pipeline collaborative control subsystem starts the mechanical part processing to generate the mechanical part processing start time, the target equipment information and the target project information, and stores the mechanical part processing start time, the mechanical part processing start command, the target equipment information and the target project information in the schedule information.Thus, the pipeline collaborative control subsystem can start machining parts based on the updated device information and engineering information set, that is, the pipeline collaborative control subsystem can start machining parts based on the device information and engineering information set with high real-time performance. At the same time, the pipeline collaborative control subsystem can also store the part machining start time and part machining start command into the schedule information for the user terminal to view, facilitating the user terminal to start different parts according to the schedule information and enhancing the user experience. Finally, in response to receiving the part machining stop command sent by the user terminal, the above-mentioned pipeline collaborative control subsystem stops the part machining to generate the probe bit machining information and the part machining stop time, and stores the probe bit machining information, the part machining stop time, and the part machining stop command into the schedule information. Thus, the pipeline collaborative control subsystem can stop the part machining based on the device information and engineering information set with high real-time performance. At the same time, the pipeline collaborative control subsystem can also store the probe bit machining information, the part machining stop time, and the part machining stop command into the schedule information for the user terminal to view, facilitating the user terminal to stop different part machining according to the schedule information and enhancing the user experience. Therefore, after receiving the device management request sent by the user terminal, the precision part machining management subsystem can update and process the device information and engineering information set in real time to improve the real-time performance of the device information and engineering information set. Thus, based on the device information and engineering information set with high real-time performance, the part machining can be started or stopped more accurately. Furthermore, it can make the probe bits machined from the parts meet the user's needs and reduce the waste of machining resources for the probe bits. Brief Description of the Drawings

[0011] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages, and aspects of the embodiments of the present application will become more apparent. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the elements and elements are not necessarily drawn to scale.

[0012] Figure 1 is a flowchart of some embodiments of the production line intelligent control method for precision part machining of probe bits according to the present application;

[0013] Figure 2 is a schematic structural diagram of a computer device suitable for implementing some embodiments of the present application;

[0014] Figure 3 is a schematic diagram of an application scenario of some embodiments of the production line intelligent control method for precision part machining of probe bits according to the present application. Detailed Description of the Embodiments

[0015] Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present application. It should be understood that the drawings and embodiments of the present application are only for exemplary purposes and are not used to limit the protection scope of the present application.

[0016] In addition, it should be noted that for ease of description, only parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0017] It should be noted that the concepts such as "first" and "second" mentioned in the present application are only used to distinguish different devices, modules or units, and are not used to limit the order or mutual dependence relationship of the functions executed by these devices, modules or units.

[0018] It should be noted that the modifications of "one" and "plural" mentioned in the present application are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0019] The names of the messages or information exchanged between multiple devices in the embodiments of the present application are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0020] The present application will be described in detail below with reference to the drawings and in combination with embodiments.

[0021] Figure 1 Flow 100 of some embodiments of a production line intelligent control method for a detection drill for precision machine part processing according to the present application is shown. The production line intelligent control method for a detection drill for precision machine part processing is applied to a production line intelligent control system. The above production line intelligent control system includes: a login subsystem, a precision machine part processing management subsystem, and a pipeline collaborative control subsystem, and includes the following steps:

[0022] Step 101, the login subsystem responds to receiving user login information sent by a user terminal, and performs verification processing on the user login information to generate a verification result.

[0023] In some embodiments, the above-mentioned login subsystem, in response to receiving the user login information sent by the user terminal, verifies the user login information to generate a verification result. Among them, the user login information may include, but is not limited to: username, user password. In practice, first, the above-mentioned login subsystem, in response to receiving the user login information sent by the user terminal, searches the user information database for target user information with the same username as included in the user login information. Among them, the user information database may be a database storing user information. The user information may include, but is not limited to: username, user password. Secondly, the above-mentioned login subsystem, in response to determining that the user password included in the user login information is the same as the user password included in the target user information, determines the preset verification success information as the verification result. After that, the above-mentioned login subsystem, in response to determining that the user password included in the user login information is different from the user password included in the target user information, determines the preset verification failure information as the verification result. For example, the preset verification success information may be information indicating "verification successful". The preset verification failure information may be information indicating "username or password is incorrect, verification failed".

[0024] Here, the login subsystem may be a system for verifying user login information. The precision machinery processing management subsystem may be a system for managing equipment information and engineering information sets. The pipeline collaborative control subsystem may be a system for controlling the processing of machine parts.

[0025] Step 102, the login subsystem, in response to determining that the verification result meets the preset verification condition, sends the preset login success information to the user terminal, and sends the user login information to the precision machinery processing management subsystem and the pipeline collaborative control subsystem.

[0026] In some embodiments, the above-mentioned login subsystem, in response to determining that the verification result meets the preset verification condition, sends the preset login success information to the above-mentioned user terminal, and sends the above-mentioned user login information to the above-mentioned precision machinery processing management subsystem and the pipeline collaborative control subsystem. Among them, the preset verification condition may be: the verification result is the preset verification success information. For example, the preset login success information may be information indicating "login successful".

[0027] Step 103, the precision machinery processing management subsystem, in response to receiving the user login information, sends the equipment information and engineering information set to the user terminal.

[0028] In some embodiments, the above-mentioned precision machine part processing management subsystem sends the device information and project information set to the user terminal in response to receiving the user login information. Here, the device information may include, but is not limited to, at least one of the following: device basic information set, device calibration information set, device control information set, device reminder information set. The device basic information in the device basic information set may include, but is not limited to, at least one of the following: device identifier (the device identifier can uniquely identify a machine part. The machine part can be a device for producing a detection drill bit. For example, the machine part can be, but is not limited to: CNC lathe, CNC aluminum plate, zinc alloy die-casting), device photo (which can be an appearance photo representing the machine part), device name, device model, main function (such as CNC lathe, precision slicing machine, dynamic balancing machine). The device calibration information in the device calibration information set may include, but is not limited to, at least one of the following: device identifier, calibration result (the calibration result can be information indicating "calibration failed" or "calibration successful"), calibration status (the calibration status can be, but is not limited to, "alarm", "good"), calibration time (the calibration time can be the time when the machine part is calibrated). The device control information in the device control information set may include, but is not limited to, at least one of the following: device identifier, IP address (Internet Protocol Address), subnet mask, default gateway. The device reminder information in the device reminder information set may include, but is not limited to, at least one of the following: device identifier, upper limit of the device body temperature, upper limit of the control recognition times, vibration frequency, jitter test rate, gear clearance of each axis, prompt message information (for example, the prompt message information can be information indicating "Intelligent device control is abnormal, please pay attention!").

[0029] The project information in the project information set may include, but is not limited to, at least one of the following: project user identifier, project user name, device identifier, device name. The project user identifier can uniquely correspond to a project user. The project user can be a user who uses the machine part.

[0030] Step 104, the precision machine part processing management subsystem updates the device information and project information set in response to receiving the device management request sent by the user terminal, and sends the updated device information and project information set to the pipeline collaborative control subsystem.

[0031] In some embodiments, the above-mentioned precision mechanical part processing management subsystem responds to a device management request sent by a user terminal, updates the device information and engineering information set, and sends the updated device information and engineering information set to the pipeline collaborative control subsystem. Among them, the above-mentioned device management request may include, but is not limited to, at least one of the following: basic information management request, calibration information management request, control information management request, reminder information management request, engineering information management request. Here, the basic information management request may indicate that the user terminal wants to modify the device basic information. The calibration information management request may indicate that the user terminal wants to modify the device calibration information. The control information management request may indicate that the user terminal wants to modify the device control information. The reminder information management request may indicate that the user terminal wants to modify the device reminder information. The engineering information management request may indicate that the user terminal wants to modify the engineering information.

[0032] In practice, the above-mentioned precision mechanical part processing subsystem responds to a device management request sent by a user terminal and can update the device information and engineering information set through the following steps:

[0033] First step, based on the basic information management request included in the above-mentioned device management request, update the device basic information in the device basic information set included in the device information that corresponds to the above-mentioned basic information management request.

[0034] In practice, the above-mentioned precision mechanical part processing subsystem can update the device basic information in the device basic information set included in the device information that corresponds to the above-mentioned basic information management request based on the basic information management request included in the above-mentioned device management request through the following sub-steps:

[0035] The first sub-step, in response to determining that the basic information management request is the first basic information management request, send the device basic information in the device basic information set that corresponds to the above-mentioned first basic information management request to the user terminal. Among them, the first basic information management request may indicate that the user terminal wants to view the specified device basic information. The first basic information management request may include a device identifier. In practice, in response to determining that the basic information management request is the first basic information management request, the above-mentioned precision mechanical part processing subsystem may send the device basic information in the device basic information set that has the same device identifier as that included in the above-mentioned first basic information management request to the user terminal.

[0036] The second sub-step is to, in response to determining that the basic information management request is a second basic information management request, add the device basic information included in the second basic information management request to the device basic information set to perform an update process on the device basic information set. Among them, the second basic information management request can represent that the user terminal wants to add device basic information. The second basic information management request can include device basic information. In practice, in response to determining that the basic information management request is a second basic information management request, the precision parts processing subsystem can add the second basic information management request and the included device basic information to the device basic information set to perform an update process on the device basic information set.

[0037] The third sub-step is to, in response to determining that the basic information management request is a third basic information management request, update the device basic information in the device basic information set corresponding to the third basic information management request based on the device basic update information included in the third basic information management request. Among them, the third basic information management request can represent that the user terminal wants to change device basic information. The third basic information management request can include: a device identifier, device basic update information (the device basic update information can represent the information that the user terminal wants to change). In practice, in response to determining that the basic information management request is a third basic information management request, the precision parts processing subsystem can update the device basic information in the device basic information set with the same device identifier as that included in the third basic information management request to the device basic update information included in the third basic information management request to perform an update process on the device basic update information set.

[0038] The fourth sub-step is to, in response to determining that the basic information management request is a fourth basic information management request, delete the device basic information in the device basic information set corresponding to the fourth basic information management request to perform an update process on the device basic information set. Among them, the fourth basic information management request can represent that the user terminal wants to delete device basic update information. The fourth basic information request can include a device identifier. In practice, in response to determining that the basic information management request is a fourth basic information management request, the precision parts processing subsystem can delete the device basic information in the device basic information set with the same device identifier as that included in the fourth basic information management request from the device basic information set to perform an update process on the device basic information set.

[0039] In the second step, based on the calibration information management request included in the above device management request, the device calibration information set included in the device information and the device calibration information corresponding to the above calibration information management request are updated. In practice, the specific implementation method for updating the device calibration information set included in the device information and the device calibration information corresponding to the above calibration information management request and the technical effects brought thereby can refer to step 104 and will not be elaborated here.

[0040] In the third step, based on the control information management request included in the above device management request, the device control information set included in the device information and the device control information corresponding to the above control information management request are updated. In practice, the specific implementation method for updating the device control information set included in the device information and the device control information corresponding to the above control information management request and the technical effects brought thereby can refer to step 104 and will not be elaborated here.

[0041] In the fourth step, based on the reminder information management request included in the above device management request, the device reminder information set included in the device information and the device reminder information corresponding to the above reminder information management request are updated. In practice, the specific implementation method for updating the device reminder information set included in the device information and the device reminder information corresponding to the above reminder information management request and the technical effects brought thereby can refer to step 104 and will not be elaborated here.

[0042] In the fifth step, based on the project information management request included in the above device management request, the project information corresponding to the above project information management request in the project information set is updated. In practice, the specific implementation method for updating the project information corresponding to the above project information management request in the project information set and the technical effects brought thereby can refer to step 104 and will not be elaborated here.

[0043] Thus, the device basic information set, device calibration information set, device control information set, device reminder information set, and project information set included in the device information can be updated in real time, improving the real-time performance of the device information and project information set, so as to initiate the machining of machine parts based on the device information and project information set with higher real-time performance subsequently, making the detection drill bit machined by the machine parts more in line with the user's requirements.

[0044] Step 105, the pipeline collaborative control subsystem sends the preset machine part processing parameter information to the user terminal in response to receiving the user login information.

[0045] In some embodiments, in response to receiving user login information, the above-mentioned pipeline collaborative control subsystem sends preset mechanical part processing parameter information to the user terminal. Here, the preset mechanical part processing parameter information can characterize the current operating condition of the mechanical part. The preset mechanical part processing parameter information may include, but is not limited to, at least one of the following: equipment identifier, equipment name, equipment operating status, mechanical part pressure value, mechanical part delay. The equipment operating status can characterize "the mechanical part is running" or "the mechanical part is idle".

[0046] Step 106, in response to receiving a mechanical part processing start command sent by the user terminal, the pipeline collaborative control subsystem starts mechanical part processing based on the updated equipment information and engineering information set to generate a mechanical part processing start time, target equipment information, and target engineering information, and stores the mechanical part processing start time, mechanical part processing start command, target equipment information, and target engineering information in the schedule information.

[0047] In some embodiments, the above-mentioned pipeline collaborative control subsystem responds to the received machine part processing start command, and based on the updated device information and engineering information set, starts the machine part processing to generate the machine part processing start time, target device information, and target engineering information, and stores the machine part processing start time, machine part processing start command, target device information, and target engineering information into the schedule information. Among them, the machine part processing start command can represent that the user terminal wants to start a specified machine part. The machine part processing start command may include but is not limited to at least one of the following: device name, machine part pressure value, machine part delay. In practice, first, in response to the received machine part processing start command, the above-mentioned pipeline collaborative control subsystem can select each device basic information that meets the preset idle start condition from the device basic information set included in the updated device information as the target device basic information set. Here, the preset idle start condition may be: the device name included in the device basic information is the same as the device name included in the machine part processing command, and the device identifier included in the device basic information and the device operation state represented by the corresponding machine part processing parameter information indicate "machine part idle". Secondly, the above-mentioned pipeline collaborative control subsystem can randomly select target device basic information from the target device basic information set as the target start device basic information. After that, the above-mentioned pipeline collaborative control subsystem can start the machine part corresponding to the device identifier included in the target start basic information according to the machine part pressure value and machine part delay included in the machine part processing start command, and determine the current time as the machine part processing start time. Then, the above-mentioned pipeline collaborative control subsystem can determine the engineering information in the updated engineering information set that is the same as the device identifier included in the target start device basic information as the target engineering information. Next, the above-mentioned pipeline collaborative control subsystem can determine the device calibration information, device control information, and device reminder information in the device calibration information set, device control information set, and device reminder information set included in the updated device information that are respectively the same as the device identifier included in the target start device basic information as the target device calibration information, target device control information, and target device reminder information. After that, the above-mentioned pipeline collaborative control subsystem can determine the target start device basic information, target device calibration information, target device control information, and target device reminder information as the target device information. Finally, the above-mentioned pipeline collaborative control subsystem can store the machine part processing start time, machine part processing start command, target device information, and target engineering information into the engineering table information.

[0048] Step 107, the pipeline collaborative control subsystem responds to the received machine part processing stop command, stops the machine part processing to generate the probe drill processing information and the machine part processing stop time, and stores the probe drill processing information, the machine part processing stop time, and the machine part processing stop command into the schedule information.

[0049] In some embodiments, the above pipeline collaborative control subsystem responds to receiving a machine part processing stop command sent by the user terminal, stops the machine part processing, to generate probe bit processing information and the machine part processing stop time, and stores the probe bit processing information, the machine part processing stop time, and the machine part processing stop command into the schedule information. Among them, the machine part processing stop command may represent that the user terminal wants to stop a specified machine part. The machine part processing stop command may include: an equipment identifier. In practice, first, in response to receiving the machine part processing stop command sent by the user terminal, the above pipeline collaborative control subsystem may stop the machine part represented by the equipment identifier included in the machine part processing stop command, and determine the current time as the machine part processing stop time. Then, the above pipeline collaborative control subsystem may store the probe bit processing information, the machine part processing stop time, and the machine part processing stop command into the schedule information. Here, the probe bit processing information may represent the situation of the probe bit processed by the machine part. The probe bit processing information may include but is not limited to at least one of the following: the number of probe bits, the model of the probe bits, the size of the probe bits.

[0050] Optionally, the above login subsystem responds to determining that the above verification result does not meet the above preset verification conditions, and sends a preset prompt message to the above user terminal.

[0051] In some embodiments, the above login subsystem responds to determining that the above verification result does not meet the above preset verification conditions, and sends a preset prompt message to the above user terminal. For example, the preset prompt message may represent the information of "The username or password is incorrect. Please re-enter!"

[0052] Optionally, the above method further includes:

[0053] First step, the above pipeline collaborative control subsystem responds to receiving an automatic start command sent by the user terminal, and executes the automatic machine part processing mode.

[0054] In some embodiments, the above pipeline collaborative control subsystem responds to receiving an automatic start command sent by the user terminal, and executes the automatic machine part processing mode. Among them, the automatic start command may represent that the user terminal wants to specify that the machine part automatically produces probe bits. The automatic start command may include: an equipment identifier. The automatic machine part processing mode may represent that the above pipeline collaborative control subsystem can automatically start or stop the machine part processing without a command sent by the user terminal.

[0055] Second step, the above pipeline collaborative control subsystem obtains the historical automatic start information sequence corresponding to the above automatic start command.

[0056] In some embodiments, the above-mentioned pipeline collaborative control subsystem can obtain the historical automatic start information sequence within a preset time period corresponding to the above-mentioned automatic start command through wired connection or wireless connection. Here, each piece of historical automatic start information in the historical automatic start information sequence can characterize the operation of the machine part from start to stop. The historical automatic start information in the historical automatic start information sequence can include, but is not limited to, at least one of the following: machine part start parameter information, machine part start time, and machine part end time. The machine part start parameter information can include, but is not limited to, at least one of the following: device identifier, device name, machine part pressure value, and machine part delay. For example, the preset time period can be from January 1, 2024 to January 1, 2025.

[0057] It should be noted that the above-mentioned wireless connection methods can include, but are not limited to, 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other currently known or future-developed wireless connection methods.

[0058] In the third step, the above-mentioned pipeline collaborative control subsystem inputs the above-mentioned historical automatic start information sequence into a pre-trained machine part start information generation model to obtain machine part automatic start information.

[0059] In some embodiments, the above-mentioned pipeline collaborative control subsystem inputs the above-mentioned historical automatic start information sequence into a pre-trained machine part start information generation model to obtain machine part automatic start information. Among them, the above-mentioned machine part automatic start information can include, but is not limited to, at least one of the following: machine part start parameter information, machine part start time, and machine part end time. The pre-trained machine part start information generation model can be a neural network model pre-trained with the historical automatic start information sequence as the input and the machine part automatic start information as the output.

[0060] In the fourth step, the above-mentioned pipeline collaborative control subsystem starts the machine part processing based on the machine part start parameter information, machine part start time, and the updated device information and engineering information set included in the above-mentioned machine part automatic start information to generate engineering start information, and stores the machine part self-start information and engineering start information in the schedule information.

[0061] In some embodiments, the above pipeline collaborative control subsystem starts the machining of the parts based on the part start parameters information, part start time, and the updated equipment information and engineering information set included in the above part automatic start information, to generate engineering start information, and stores the part self-start information and engineering start information in the schedule information. In practice, first, in response to determining that the current time is the same as the part start time included in the part automatic start information, the above pipeline collaborative control subsystem can start the part corresponding to the equipment identifier included in the part automatic start information according to the part pressure value and part delay included in the part automatic start information. Then, the above pipeline collaborative control subsystem can determine the engineering information in the engineering information set that is the same as the equipment identifier included in the part automatic start information as the engineering start information. Next, the above pipeline collaborative control subsystem can store the part self-start information and engineering start information in the engineering table information.

[0062] In the fifth step, the above pipeline collaborative control subsystem stops the machining of the parts based on the part end time included in the above part automatic start information, to generate the automatic machining information of the detection drill bit, and stores the automatic machining information of the detection drill bit in the schedule.

[0063] In some embodiments, the above pipeline collaborative control subsystem stops the machining of the parts based on the part end time included in the above part automatic start information, to generate the automatic machining information of the detection drill bit, and stores the automatic machining information of the detection drill bit in the schedule. In practice, in response to determining that the current time is the same as the part end time included in the part automatic start information, the above pipeline collaborative control subsystem can stop the part corresponding to the equipment identifier included in the above part automatic start information, and store the automatic machining information of the detection drill bit in the schedule. Here, the automatic machining information of the detection drill bit can characterize the situation of the detection drill bit machined by the part in the part automatic machining mode. The automatic machining information of the detection drill bit can include but is not limited to at least one of the following: the number of detection drill bits, the model of the detection drill bit, and the size of the detection drill bit.

[0064] Thus, in addition to starting and stopping the machining of the parts according to the start command and stop command sent by the user terminal, the pipeline collaborative control subsystem can also execute the part automatic machining mode according to the automatic start command sent by the user terminal. Therefore, it is possible to automatically start the machining of the parts when no start command is received from the user terminal, so as to produce a batch of detection drill bits in advance, which can improve the production efficiency and reduce the waiting time of the user terminal for the machining of the parts.

[0065] Optionally, before the above pipeline collaborative control subsystem inputs the above historical automatic start information sequence into the pre-trained part start information generation model to obtain the part automatic start information, the above method further includes:

[0066] Step 1: Obtain a training sample set.

[0067] In some embodiments, the above pipeline collaborative control subsystem can obtain the training sample set from the terminal device through a wired connection or a wireless connection. Among them, the training samples in the above training sample set may include: a sample historical automatic start information sequence and sample component automatic start information.

[0068] Step 2: Determine an initial component start information generation model.

[0069] In some embodiments, the above pipeline collaborative control subsystem can determine an initial component start information generation model. Among them, the initial component start information generation model may include: an initial feature extraction model, an initial moving average model, an initial memory model, and an initial fusion model.

[0070] Here, the initial feature extraction model can be a neural network model that takes the sample historical automatic start information as input and the initial automatic start feature information as output. For example, the initial feature extraction model can be a self-attention model. Here, the initial automatic start feature information may include, but is not limited to: device identifier, component pressure value, component delay, component start time, and component end time.

[0071] The initial moving average model can be a neural network model that takes the initial automatic start feature information sequence as input and the initial moving average information as output. For example, the initial moving average model can be an ARMA (Auto-Regressive Moving Average Model). Here, the initial moving average information may include: component pressure value, component delay, component start time, and component end time.

[0072] The initial memory model can be a neural network model that takes the initial self-start feature information sequence as input and the initial memory information as output. For example, the initial memory model can be an LSTM (Long Short-Term Memory) network model. Here, the initial memory information may include: component pressure value, component delay, component start time, and component end time.

[0073] The initial fusion model can be a model that takes the initial moving average information and the initial memory information as inputs and outputs the initial machine part automatic start information. For example, the initial fusion model can be used to: determine the average value of each numerical value included in the initial moving average information and the corresponding numerical value of the initial memory information as the numerical value included in the initial machine part automatic start information. For example, the initial fusion model can be used to: First, determine the device identifier included in the initial automatic start feature information as the device identifier included in the initial machine part automatic start information. Second, determine the average value of the machine part pressure value included in the initial moving average information and the machine part pressure value included in the initial memory information as the machine part pressure value included in the initial machine part automatic start information. Then, determine the machine part delay included in the initial moving average information and the machine part delay included in the initial memory information as the machine part delay included in the initial machine part automatic start information. Next, determine the average value of the machine part start time included in the initial moving average information and the machine part start time included in the initial memory information as the machine part start time included in the initial machine part automatic start information. After that, determine the machine part end time included in the initial moving average information and the machine part end time included in the initial memory information as the machine part start time included in the initial machine part automatic start information.

[0074] Third step, select target training samples from the above training sample set.

[0075] In some embodiments, the above pipeline collaborative control subsystem can randomly select training samples from the above training sample set as target training samples.

[0076] Fourth step, input each sample historical automatic start information in the sample historical automatic start information sequence included in the selected target training samples into the initial feature extraction model to generate initial automatic start feature information, and obtain an initial automatic start feature information sequence.

[0077] In some embodiments, the above pipeline collaborative control subsystem can input each sample historical automatic start information in the sample historical automatic start information sequence included in the selected target training samples into the initial feature extraction model to generate initial automatic start feature information, and obtain an initial automatic start feature information sequence.

[0078] Fifth step, input the initial automatic start feature information sequence into the initial moving average model to obtain initial moving average information.

[0079] In some embodiments, the above pipeline collaborative control subsystem can input the initial automatic start feature information sequence into the initial moving average model to obtain initial moving average information.

[0080] Sixth step, input the initial automatic start feature information sequence into the initial memory model to obtain initial memory information.

[0081] In some embodiments, the above pipeline collaborative control subsystem may input the initial automatic start feature information sequence into the initial memory model to obtain initial memory information.

[0082] Step 7: Input the initial moving average information and the initial memory information into the initial fusion model to obtain the initial component automatic start information.

[0083] In some embodiments, the above pipeline collaborative control subsystem may input the initial moving average information and the initial memory information into the initial fusion model to obtain the initial component automatic start information.

[0084] Step 8: Based on a preset loss function, determine the difference value between the initial component automatic start information and the sample component automatic start information included in the selected target training sample.

[0085] In some embodiments, the above pipeline collaborative control subsystem may determine the difference value between the initial component automatic start information and the sample component automatic start information included in the selected target training sample based on a preset loss function. For example, the preset loss function may be, but is not limited to: mean square error loss function (MSE), hinge loss function, cross-entropy loss function (CrossEntropy), 0-1 loss function, absolute value loss function, log logarithmic loss function, square loss function, exponential loss function, etc.

[0086] Step 9: In response to determining that the difference value is greater than or equal to a preset difference value, adjust the network parameters of the initial component start information generation model.

[0087] In some embodiments, the above pipeline collaborative control subsystem may adjust the network parameters of the initial component start information generation model in response to determining that the difference value is greater than or equal to a preset difference value. For example, the difference between the difference value and the preset difference value may be calculated. On this basis, methods such as backpropagation and gradient descent are used to adjust the parameters of the initial component start information generation model. For example, the preset difference value may be 0.1.

[0088] Optionally, in response to determining that the difference value is less than the above preset difference value, determine the initial component start information generation model as the trained component start information generation model.

[0089] In some embodiments, the above pipeline collaborative control subsystem determines the initial component start information generation model as the trained component start information generation model in response to determining that the difference value is less than the above preset difference value.

[0090] Thus, first, the initial self-starting feature information representing key information can be extracted through the initial feature extraction model to reduce redundant information. Second, the initial moving average information can be predicted through the initial moving average model using linear prediction. Then, the initial memory information can be predicted through the initial memory model using non-linear prediction. Subsequently, the initial component automatic start information can be obtained more accurately through the initial fusion model by fusing the two prediction methods of linear prediction and non-linear prediction. Therefore, a relatively accurate component start information generation model can be trained by training the model including the initial feature extraction model, the initial moving average model, the initial memory model, and the initial fusion model. Thus, the component automatic start information predicted by the component start information generation model takes into account the two prediction methods of linear prediction and non-linear prediction, and the predicted component automatic start information is more accurate. Furthermore, the component can be automatically started and stopped through the relatively accurate component automatic start information, so that the detection drill bit automatically produced by the component can better meet the user's needs.

[0091] The above-mentioned various embodiments of the present application have the following beneficial effects: Through the intelligent control method for the production line of the precision mechanical part processing detection drill bit in some embodiments of the present application, the processing resources of the detection drill bit can be reduced. Specifically, the reason for the waste of the processing resources of the detection drill bit is that when controlling the precision mechanical part processing detection drill bit through the set mechanical part processing command, since the set command is difficult to change, when the user wants to change the parameters of the mechanical part processing, the parameters of the mechanical part processing can only be changed after the mechanical part processing command is completed, resulting in the processing of extra detection drill bits that do not meet the user's requirements, causing waste of the processing resources of the detection drill bit. Based on this, in some embodiments of the present application, for the intelligent control method of the production line of the precision mechanical part processing detection drill bit, first, the above-mentioned login subsystem responds to receiving the user login information sent by the user terminal, and verifies the above-mentioned user login information to generate a verification result. Thus, the user login information sent by the user terminal can be verified, so that the user terminal with successful verification can access the intelligent control system of the production line subsequently to ensure the security of the intelligent control system of the production line. Secondly, the above-mentioned login subsystem responds to determining that the above-mentioned verification result meets the preset verification conditions, sends the preset login success information to the above-mentioned user terminal, and sends the above-mentioned user login information to the above-mentioned precision mechanical part processing management subsystem and the pipeline collaborative control subsystem. Then, the above-mentioned precision mechanical part processing management subsystem responds to receiving the user login information, and sends the equipment information and the engineering information set to the user terminal. After that, the above-mentioned precision mechanical part processing management subsystem responds to receiving the equipment management request sent by the user terminal, updates the equipment information and the engineering information set, and sends the updated equipment information and engineering information set to the pipeline collaborative control subsystem. Thus, the precision mechanical part processing management subsystem can update the equipment information and the engineering information set in real time according to the equipment management request sent by the user terminal. Then, the above-mentioned pipeline collaborative control subsystem responds to receiving the user login information, and sends the preset mechanical part processing parameter information to the user terminal. Thus, the pipeline collaborative control subsystem can send the preset mechanical part processing parameter information representing the current processing situation of the mechanical part to the user terminal, so that the user terminal can start or pause the mechanical part processing. After that, the above-mentioned pipeline collaborative control subsystem responds to receiving the mechanical part processing start command sent by the user terminal, based on the updated equipment information and engineering information set, starts the mechanical part processing to generate the mechanical part processing start time, the target equipment information and the target engineering information, and stores the mechanical part processing start time, the mechanical part processing start command, the target equipment information and the target engineering information in the schedule information.Accordingly, the pipeline collaborative control subsystem can initiate component processing based on the updated device information and engineering information set, that is, the pipeline collaborative control subsystem can initiate component processing based on the device information and engineering information set with relatively high real-time performance. At the same time, the pipeline collaborative control subsystem can also store the component processing start time and the component processing start command into the schedule information for the user terminal to view, facilitating the user terminal to initiate different components according to the schedule information and enhancing the user experience. Finally, in response to receiving the component processing stop command sent by the user terminal, the above-mentioned pipeline collaborative control subsystem stops the component processing to generate the detection drill bit processing information and the component processing stop time, and stores the detection drill bit processing information, the component processing stop time, and the component processing stop command into the schedule information. Accordingly, the pipeline collaborative control subsystem can stop the component processing based on the device information and engineering information set with relatively high real-time performance. At the same time, the pipeline collaborative control subsystem can also store the detection drill bit processing information, the component processing stop time, and the component processing stop command into the schedule information for the user terminal to view, facilitating the user terminal to stop different component processing according to the schedule information and enhancing the user experience. Therefore, after receiving the device management request sent by the user terminal, the precision component processing management subsystem can update and process the device information and engineering information set in real time to improve the real-time performance of the device information and engineering information set. Thus, based on the device information and engineering information set with relatively high real-time performance, the component processing can be started or stopped more accurately. Furthermore, the detection drill bits processed by the components can meet the user requirements, and the processing resources of the detection drill bits can be reduced.

[0092] This application also provides a computer device 200. As Figure 2 shown, the computer device 200 includes: a bus 201, a processor 202, a memory 203, and a communication interface 204. The processor 202, the memory 203, and the communication interface 204 communicate with each other through the bus 201. The computer device 200 can be a server or a terminal device. It should be understood that this application does not limit the number of processors and memories in the computer device 200.

[0093] The bus 201 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 2It is represented by only one line in the figure, but it does not mean that there is only one bus or one type of bus. The bus 201 may include a path for transmitting information between various components of the computer device 200 (for example, the memory 203, the processor 202, and the communication interface 204).

[0094] The processor 202 may include any one or more of processors such as a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).

[0095] The memory 203 may include a volatile memory, such as a random access memory (RAM). The memory 203 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).

[0096] The memory 203 stores executable program codes, and the processor 202 executes the executable program codes to respectively implement the functions of the foregoing acquisition module, sampling module, determination module, and mixing module, so as to implement the above-mentioned intelligent control method for the production line of the detection drill for precision mechanical parts processing. That is to say, the memory 203 stores instructions for executing the above-mentioned intelligent control method for the production line of the detection drill for precision mechanical parts processing.

[0097] The communication interface 204 uses a transceiver module such as, but not limited to, a network interface card or a transceiver to implement the communication between the computer device 200 and other devices or communication networks.

[0098] The embodiment of the present application further provides a chip, which includes a processor and a data interface. The processor reads the instructions stored on the memory through the data interface to execute the above-mentioned intelligent control method for the production line of the detection drill for precision mechanical parts processing.

[0099] The embodiments of the present application also provide a computer-readable storage medium. The above computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center containing one or more available media. The above available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc. The computer-readable storage medium includes instructions that direct the computing device to execute the above-described intelligent control method for the production line of the probe bit for precision mechanical part machining.

[0100] Figure 3 It is a schematic diagram of an application scenario diagram according to some embodiments of the intelligent control method for the production line of the probe bit for precision mechanical part machining of the present application.

[0101] In Figure 3In the application scenario, first, the login subsystem 301, in response to receiving the user login information 302 sent by the user terminal, verifies the user login information 302 to generate a verification result 303. In this application scenario, the user login information 302 can be "login, 123456". The verification result 303 can be "verification successful". Second, the login subsystem 301, in response to determining that the verification result 303 meets the preset verification conditions, sends the preset login success information to the user terminal, and sends the user login information 302 to the precision parts processing management subsystem 304 and the pipeline collaborative control subsystem 309. Then, the precision parts processing management subsystem 304, in response to receiving the user login information 302, sends the device information 305 and the project information set 306 to the user terminal. In this application scenario, the device information 305 can be "part 1, photo a, CNC lathe, model a, numerically controlled lathe". The project information in the project information set 306 can be "001, user name a, part 1, CNC lathe". After that, the precision parts processing management subsystem 304, in response to receiving the device management request sent by the user terminal, updates the device information 305 and the project information set 306, and sends the updated device information 307 and the project information set 308 to the pipeline collaborative control subsystem 309. In this application scenario, the updated device information 307 can be "part 1, photo b, CNC lathe, model a, numerically controlled lathe". The project information in the updated project information set 308 can be "001, user name b, part 1, CNC lathe". Then, the pipeline collaborative control subsystem 309, in response to receiving the user login information 302, sends the preset part processing parameter information to the user terminal. After that, the pipeline collaborative control subsystem 309, in response to receiving the part processing start command sent by the user terminal, based on the updated device information 307 and the project information set 308, starts processing part 310 to generate the part processing start time, the target device information, and the target project information, and stores the part processing start time, the part processing start command, the target device information, and the target project information in the schedule information 311. In this application scenario, the information stored in the schedule information 311 can be "2025.1.1, part processing start command a, part 1, photo b, CNC lathe, model a, numerically controlled lathe, 001, user name b". Finally, the pipeline collaborative control subsystem 309, in response to receiving the part processing stop command sent by the user terminal, stops processing part 310 to generate the probe drill processing information and the part processing stop time, and stores the probe drill processing information, the part processing stop time, and the part processing stop command in the schedule information 311. In this application scenario, the information stored in the schedule information 311 can be "probe drill information a, 2025.1.2, part processing stop command a".

[0102] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as falling within the scope described in this specification.

[0103] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent control method for a production line of precision mechanical part processing detection drills, applied to an intelligent control system of a production line, the intelligent control system of the production line comprising: The login subsystem, the precision mechanical parts processing management subsystem, and the assembly line collaborative control subsystem, including: The login subsystem responds to receiving the user login information sent by the user terminal, verifies the user login information to generate a verification result; The login subsystem responds to determining that the verification result meets the preset verification conditions, sends the preset login success information to the user terminal, and sends the user login information to the precision mechanical parts processing management subsystem and the assembly line collaborative control subsystem; The precision mechanical parts processing management subsystem responds to receiving the user login information, and sends the equipment information and the engineering information set to the user terminal; The precision mechanical parts processing management subsystem responds to receiving the equipment management request sent by the user terminal, updates the equipment information and the engineering information set, and sends the updated equipment information and engineering information set to the assembly line collaborative control subsystem; The assembly line collaborative control subsystem responds to receiving the user login information, and sends the preset mechanical parts processing parameter information to the user terminal; The assembly line collaborative control subsystem responds to receiving the mechanical parts processing start command sent by the user terminal, starts the mechanical parts processing based on the updated equipment information and engineering information set to generate the mechanical parts processing start time, target equipment information, and target engineering information, and stores the mechanical parts processing start time, the mechanical parts processing start command, the target equipment information, and the target engineering information in the schedule information; The assembly line collaborative control subsystem responds to receiving the mechanical parts processing stop command sent by the user terminal, stops the mechanical parts processing to generate the detection drill bit processing information and the mechanical parts processing stop time, and stores the detection drill bit processing information, the mechanical parts processing stop time, and the mechanical parts processing stop command in the schedule information.

2. The intelligent control method for the production line of the detection drill bit for precision mechanical part machining according to claim 1, wherein, The method further includes: The login subsystem responds to determining that the verification result does not meet the preset verification conditions, and sends the preset prompt information to the user terminal.

3. The intelligent control method for the production line of the detection drill bit for precision mechanical part machining according to claim 1, wherein, The method further includes: The assembly line collaborative control subsystem responds to receiving the automatic start command sent by the user terminal and executes the mechanical parts automatic processing mode; The assembly line collaborative control subsystem obtains the historical automatic start information sequence corresponding to the automatic start command; The assembly line collaborative control subsystem inputs the historical automatic start information sequence into the pre-trained mechanical parts start information generation model to obtain the mechanical parts automatic start information, where the mechanical parts automatic start information includes: mechanical parts start parameter information, mechanical parts start time, and mechanical parts end time; The assembly line collaborative control subsystem starts the mechanical parts processing based on the mechanical parts start parameter information, the mechanical parts start time included in the mechanical parts automatic start information, and the updated equipment information and engineering information set to generate the project start information, and stores the mechanical parts self-start information and the project start information in the schedule information; The assembly line collaborative control subsystem stops the mechanical parts processing based on the mechanical parts end time included in the mechanical parts automatic start information to generate the detection drill bit automatic processing information, and stores the detection drill bit automatic processing information in the schedule.

4. The intelligent control method for the production line of the detection drill bit for precision mechanical part machining according to claim 1, wherein, The device information includes: a device basic information set, a device calibration information set, a device control information set, and a device reminder information set. The device management requests include: a basic information management request, a calibration information management request, a control information management request, a reminder information management request, and a project information management request; And in response to receiving a device management request sent by a user terminal, performing an update process on the device information and the project information set, including: Based on the basic information management request included in the device management request, performing an update process on the device basic information in the device basic information set included in the device information that corresponds to the basic information management request; Based on the calibration information management request included in the device management request, performing an update process on the device calibration information in the device calibration information set included in the device information that corresponds to the calibration information management request; Based on the control information management request included in the device management request, performing an update process on the device control information in the device control information set included in the device information that corresponds to the control information management request; Based on the reminder information management request included in the device management request, performing an update process on the device reminder information in the device reminder information set included in the device information that corresponds to the reminder information management request; Based on the project information management request included in the device management request, performing an update process on the project information in the project information set that corresponds to the project information management request.

5. The intelligent control method for the production line of the detection drill bit for precision mechanical part machining according to claim 4, wherein, The performing an update process on the device basic information in the device basic information set included in the device information that corresponds to the basic information management request based on the basic information management request included in the device management request includes: In response to determining that the basic information management request is a first basic information management request, sending the device basic information in the device basic information set that corresponds to the first basic information management request to the user terminal; In response to determining that the basic information management request is a second basic information management request, adding the device basic information included in the second basic information management request to the device basic information set to perform an update process on the device basic information set, where the second basic information management request includes: device basic information; In response to determining that the basic information management request is a third basic information management request, performing an update process on the device basic information in the device basic information set that corresponds to the third basic information management request based on the device basic update information included in the third basic information management request, where the third basic information management request includes: device basic update information; In response to determining that the basic information management request is a fourth basic information management request, deleting the device basic information in the device basic information set that corresponds to the fourth basic information management request to perform an update process on the device basic information set.

6. A computer device, wherein, The computer device includes a processor, a memory, and a computer program stored on the memory and executable by the processor. When the computer program is executed by the processor, the steps of the method as described in any one of claims 1-5 are implemented.

7. A computer-readable storage medium, wherein, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method described in any one of claims 1-5 are implemented.

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