Equipment parameter adjusting method and device, medium and electronic equipment

Abstract

The invention provides an equipment parameter adjusting method and device, a medium and electronic equipment. The equipment parameter adjusting method comprises the following steps: acquiring binding data of first sewing equipment; acquiring a user efficiency change condition of the first sewing equipment based on the binding data; and performing parameter adjustment of the first sewing equipment based on the user efficiency change condition. The parameters of the first sewing equipment are adjusted in time according to the user efficiency change condition, and the sewing efficiency of the first sewing equipment can be improved in the working process of the first sewing equipment.

Description

Technical Field

[0001] This application belongs to the field of sewing machines, and relates to a method for adjusting device parameters, in particular to a method, device, medium and electronic device for adjusting device parameters. Background Art

[0002] Currently, industrial computer lockstitch sewing machines, Juki 9000C devices with NFC function, etc. can achieve parameter replication between sewing devices. Through the APP installed on mobile phones and tablets, data transmission is carried out using NFC to achieve parameter replication between devices. However, this solution replicates parameters from a process perspective and can only perform effective parameter replication when changing devices under the same process. Different sewing workers have different operating habits for devices and different set or habitual operating parameters. This solution cannot solve the problem of replicating habitual parameters when changing different personnel or when the person changes different devices. Therefore, the current parameter adjustment method has the problem of low sewing efficiency due to the inability to adjust the current parameters in a timely manner. Summary of the Invention

[0003] The purpose of this application is to provide a method, device, medium and electronic device for adjusting device parameters, which is used to solve the problem of low sewing efficiency of the current device parameter adjustment method.

[0004] In a first aspect, this application provides a method for adjusting device parameters, which is applied to an Internet of Things platform. The method for adjusting device parameters includes: obtaining the binding data of a first sewing device; obtaining the user efficiency change situation of the first sewing device based on the binding data; and adjusting the parameters of the first sewing device based on the user efficiency change situation.

[0005] By adjusting the parameters of the first sewing device in a timely manner according to the user efficiency change situation, the sewing efficiency of the first sewing device can be improved during the working process of the first sewing device.

[0006] In an embodiment of this application, the binding data includes the login user data of the first sewing device, the current parameters of the first sewing device, the working data of the first sewing device, and the first sewing device model.

[0007] In an embodiment of this application, the obtaining the user efficiency change situation of the first sewing device based on the binding data includes: obtaining a first efficiency based on the working data of the first sewing device, and obtaining a second efficiency based on the login user data; the user efficiency change situation includes situation one and situation two; situation one is that the first efficiency is not lower than the second efficiency; situation two is that the first efficiency is lower than the second efficiency.

[0008] In an embodiment of the present application, the method for obtaining the first efficiency and the second efficiency includes: the working data of the first sewing device includes the standard working hours and the actual working hours of the logged-in user under the current parameters of the first sewing device; the first efficiency is calculated and obtained based on the actual working hours and the standard working hours; the logged-in user data includes the second efficiency of the second sewing device under the habitual parameters; the model of the second sewing device is the same as that of the first sewing device.

[0009] In an embodiment of the present application, the parameter adjustment of the first sewing device based on the change of the user efficiency includes: the logged-in user data includes the habitual parameters of this user under the same model as the first sewing device; when the change of the user efficiency is in case one, the current parameters of the first sewing device are not adjusted; when the change of the user efficiency is in case two, the current parameters of the first sewing device are adjusted to the habitual parameters.

[0010] In an embodiment of the present application, when the change of the user efficiency is in case one, it further includes: updating the current parameters of the first sewing device to the habitual parameters of this user under the model of the first sewing device.

[0011] In an embodiment of the present application, the parameters include at least one of the following: the angle of the front and back pedal response, the acceleration curve matched by the governor, and the start-stop response speed of the motor.

[0012] In a second aspect, the present application provides a device parameter adjustment device, including: a device data acquisition module, configured to acquire the binding data of the first sewing device; an efficiency change situation acquisition module, configured to acquire the change situation of the user efficiency of the first sewing device based on the binding data; a parameter adjustment module, configured to adjust the parameters of the first sewing device based on the change situation of the user efficiency.

[0013] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the device parameter adjustment method according to any one of the first aspect.

[0014] In a fourth aspect, the present application provides an electronic device, where the electronic device includes: a memory, storing a computer program; a processor, communicatively connected to the memory, and when calling the computer program, executes the device parameter adjustment method according to any one of the first aspect of the present application.

[0015] As described above, the device parameter adjustment method, device, medium, and electronic device of the present application have the following beneficial effects:

[0016] By adjusting the parameters of the first sewing device in a timely manner according to the change of the user efficiency, the sewing efficiency of the first sewing device can be improved during the working process of the first sewing device. Brief Description of the Drawings

[0017] Figure 1 It shows a schematic diagram of the hardware structure for running the device parameter adjustment method according to the embodiment of the present application.

[0018] Figure 2 It shows a flowchart of the device parameter adjustment method according to the embodiment of the present application.

[0019] Figure 3 It shows a flowchart of the method for obtaining the first efficiency and the second efficiency according to the embodiment of the present application.

[0020] Figure 4 It shows a schematic diagram of the structure of the device parameter adjustment device according to the embodiment of the present application.

[0021] Description of Element Numbers

[0022] 10 Sewing device

[0023] 110 RFID receiver

[0024] 120 WiFi module

[0025] 130 Data acquisition module

[0026] 140 Data receiving module

[0027] 20 Internet of Things cloud platform

[0028] 30 Gateway

[0029] 400 Device parameter adjustment device

[0030] 410 Device data acquisition module

[0031] 420 Efficiency change situation acquisition module

[0032] 430 Parameter adjustment module

[0033] Steps S11 - S13

[0034] Steps S21 - S22 Detailed Embodiments

[0035] The following uses specific specific examples to illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0036] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present application in a schematic manner. Therefore, only the components related to the present application are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and proportion of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0037] The following will describe in detail the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.

[0038] As Figure 1 shown, an application system of the device parameter adjustment method includes a sewing device 10. The sewing device 10 is connected to the Internet of Things cloud platform 20 through the network provided by the gateway 30. The network can be 4G, 5G, WiFi, wired network, etc. The sewing device 10 includes a flat sewing machine, an overlock sewing machine, a cutting machine, a template machine, etc.

[0039] Optionally, the sewing device 10 includes an RFID receiver 110, a WiFi module 120, a data acquisition module 130, and a data receiving module 140. The RFID receiver 110 accesses the Internet of Things cloud platform 20 through the WiFi module 120. The RFID receiver 110 identifies the employee ID card to allow the employee to log in to the sewing device 10. The data acquisition module 130 is used to collect the data of the sewing device 10 and transmit the data to the Internet of Things cloud platform 20. The Internet of Things cloud platform 20 processes the acquired data and issues corresponding instructions to the data receiving module 140.

[0040] Optionally, the data acquisition module 130 includes an I account identification function, enabling the user to directly input the account to log in to the sewing device 10.

[0041] Optionally, the data receiving module 140 provides a parameter modification function. Specifically, several parameter templates are created through the Internet of Things cloud platform 20. The parameter templates contain sewing machine parameters. The Internet of Things cloud platform 2 sends an instruction to select the corresponding parameter template to the data receiving module 140, and the data receiving module 140 adjusts the parameters of the sewing machine. The parameter templates are stored in the Internet of Things cloud platform 20. The parameter templates can be temporarily created by the user on the Internet of Things cloud platform or pre-stored in the Internet of Things cloud platform. Selecting the corresponding parameter template can realize parameter configuration for the sewing device. The parameter template can be the habitual parameters of the logged-in user under a certain sewing device model.

[0042] As Figure 2 shown, this embodiment provides a device parameter adjustment method, which is applied to an Internet of Things cloud platform. The device parameter adjustment method includes:

[0043] S11. Obtain the binding data of the first sewing device.

[0044] Optionally, the binding data includes the login user data of the first sewing device, the current parameters of the first sewing device, the working data of the first sewing device, and the first sewing device model.

[0045] Optionally, the login user data may at least include the name data, job number data, etc. of the login user. The current parameters of the first sewing device may at least include: the angle of the pedal's front and back step response, the acceleration curve matched by the speed governor, and at least one of the start and stop response speeds of the motor. After the login user swipes the card or enters the job number to log in to the first sewing device, the first sewing device wirelessly transmits the login user data, the current parameters, the working data, and the device model to the Internet of Things cloud platform.

[0046] S12. Obtain the change in user efficiency of the first sewing device based on the binding data.

[0047] Optionally, the login user data includes the second efficiency of the second sewing device under the habitual parameters, and the model of the second sewing device is the same as that of the first sewing device.

[0048] Optionally, the implementation method for obtaining the change in user efficiency of the first sewing device based on the binding data includes: obtaining the first efficiency based on the working data of the first sewing device and obtaining the second efficiency based on the login user data; the change in user efficiency includes Case 1 and Case 2; Case 1 is that the first efficiency is not lower than the second efficiency; Case 2 is that the first efficiency is lower than the second efficiency.

[0049] Optionally, the first sewing device and the second sewing device are two different but same-model devices. In an actual scenario, the second sewing device may be the sewing device on which the login user generates the habitual parameters, and the first sewing device may be the device used by the login user during actual use. The login user can generate the habitual parameters on the second sewing device and then change the device used during actual use to the first sewing device.

[0050] S13. Adjust the parameters of the first sewing device based on the change in user efficiency.

[0051] Optionally, the implementation method for adjusting the parameters of the first sewing device based on the change in user efficiency includes: determining the parameters of the first sewing device based on the change in user efficiency and sending the parameters to the first sewing device. The first sewing device can adjust itself according to the received parameters.

[0052] Optionally, the parameter adjustment of the first sewing device based on the change of user efficiency includes: the logged-in user data includes the user habit parameters of the same model as the first sewing device; when the change of user efficiency is in case one, the current parameters of the first sewing device are not adjusted; when the change of user efficiency is in case two, the current parameters of the first sewing device are adjusted to the habit parameters. For example, when the change of user efficiency is in case two, the habit parameters are {a, b, c}, the current parameters of the first sewing device are {d, e, f}, and the current parameters {d, e, f} of the first sewing device are adjusted to {a, b, c}.

[0053] Optionally, when the change of user efficiency is in case two, the implementation method of adjusting the current parameters of the first sewing device to the habit parameters includes: the Internet of Things cloud platform sends the habit parameters to the first sewing device; the first sewing device adjusts the current parameters of the first sewing device to the habit parameters.

[0054] Optionally, when the change of user efficiency is in case one, it further includes: updating the current parameters of the first sewing device to the habit parameters of the user under the model of the first sewing device. For example, when the change of user efficiency is in case one, the habit parameters are {a, b, c}, the current parameters of the first sewing device are {d, e, f}, and the habit parameters are updated to {d, e, f}. The habit parameters can also have a sensitivity priority, which is determined according to the number of times the habit parameters are updated. The higher the number of updates, the higher the sensitivity priority. For example, the specific parameter of the angle of the front and back pedal response in the habit parameters is updated 7 times, and the start and stop response speed of the motor is updated 5 times, then the sensitivity priority of the angle of the front and back pedal response is higher than that of the start and stop response speed of the motor.

[0055] Optionally, the user habit parameters of the same model as the first sewing device are pre-acquired and stored in the Internet of Things platform. The specific acquisition method is: during the use of the sewing device, a habit parameter template is established, which includes the angle of the front and back pedal response, the acceleration curve matched by the speed regulator, and the start and stop response speed of the motor; then during the operation of the sewing device, the above parameters used by the user for a long time are collected, and the habit parameters of the user under this model are formed and stored in the Internet platform. Without replacing the device, the habit parameters are continuously monitored and updated.

[0056] According to the above description, it can be known that the device parameter adjustment method described in this embodiment includes: obtaining the binding data of the first sewing device; obtaining the change of user efficiency of the first sewing device based on the binding data; and adjusting the parameters of the first sewing device based on the change of user efficiency.

[0057] By adjusting the parameters of the first sewing device in a timely manner according to the change of user efficiency, the sewing efficiency of the first sewing device can be improved during the working process of the first sewing device.

[0058] As Figure 3 shown, this embodiment provides a method for obtaining the first efficiency and the second efficiency, including:

[0059] S21, the working data of the first sewing device includes the standard working hours and the actual working hours of the logged-in user under the current parameters of the first sewing device; the first efficiency is calculated and obtained based on the actual working hours and the standard working hours.

[0060] Optionally, the standard working hours may refer to the standard time required for the first sewing device to complete a specific sewing task, and the actual working hours of the logged-in user under the current parameters of the first sewing device may refer to the actual time required for the first sewing device to complete a specific sewing task under the current parameters of the first sewing device. The specific sewing task can be flexibly set according to the actual situation, and this embodiment does not clearly limit this.

[0061] Optionally, the first efficiency can be expressed as: where a represents the first efficiency, T1 represents the standard working hours, and T2 represents the actual working hours of the logged-in user under the current parameters of the first sewing device.

[0062] S22, the logged-in user data includes the second efficiency of the second sewing device under the habitual parameters; the model of the second sewing device is the same as that of the first sewing device.

[0063] Optionally, the second efficiency can be expressed as: where b represents the second efficiency, T3 represents the standard working hours, and T4 represents the actual working hours of the logged-in user on the second sewing device under the habitual parameters.

[0064] Optionally, the actual working hours of the second sewing device under the habitual parameters may refer to the actual time required for the second sewing device to complete a specific sewing task under the habitual parameters of the second sewing device.

[0065] The protection scope of the device parameter adjustment method in the embodiments of the present application is not limited to the execution order of the steps listed in this embodiment. Any solution achieved by adding or subtracting steps of the prior art and replacing steps according to the principle of the present application is included in the protection scope of the present application.

[0066] As Figure 4 shown, this embodiment provides a device parameter adjustment device 400, including:

[0067] The device data acquisition module 410 is configured to acquire the binding data of the first sewing device.

[0068] The efficiency change situation acquisition module 420 is configured to acquire the user efficiency change situation of the first sewing device based on the binding data.

[0069] The parameter adjustment module 430 is configured to adjust the parameters of the first sewing device based on the user efficiency change situation.

[0070] In the device parameter adjustment device 400 provided in this embodiment, the device data acquisition module 410 corresponds to step S11 of the device parameter adjustment method shown, the efficiency change situation acquisition module 420 corresponds to step S12, and the parameter adjustment module 430 corresponds to step S13. Figure 2 In several embodiments provided by the present application, it should be understood that the disclosed device or method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of devices or modules or units can be in electrical, mechanical or other forms.

[0071] The modules / units described as separate components may or may not be physically separated. The components shown as modules / units may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules / units can be selected according to actual needs to achieve the purpose of the embodiments of the present application. For example, in each embodiment of the present application, the various functional modules / units can be integrated in a processing module, or each module / unit can exist physically alone, or two or more modules / units can be integrated in one module / unit.

[0072] The modules / units described as separate components may or may not be physically separated. The components shown as modules / units may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules / units can be selected according to actual needs to achieve the purpose of the embodiments of the present application. For example, in each embodiment of the present application, the various functional modules / units can be integrated in a processing module, or each module / unit can exist physically alone, or two or more modules / units can be integrated in one module / unit.

[0073] Those of ordinary skill in the art should also be further aware that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0074] This embodiment provides an electronic device, the electronic device includes a memory storing a computer program; a processor communicatively connected to the memory and executing when calling the computer program Figure 2 the device parameter adjustment method shown.

[0075] The embodiments of the present application also provide a computer-readable storage medium. Those of ordinary skill in the art can understand that all or part of the steps of the methods in the above embodiments can be completed by instructing a processor through a program. The program can be stored in a computer-readable storage medium. The storage medium is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disc, and any combination thereof. The above storage medium can be any available medium that a computer can access or a data storage device such as a server or data center integrating one or more available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a digital video disc (DVD)), or a semiconductor medium (such as a solid-state disk (SSD)), etc.

[0076] The embodiments of the present application can also provide a computer program product, the computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions described in the embodiments of the present application are fully or partially generated. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, or data center to another website, computer, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.).

[0077] When the computer program product is executed by a computer, the computer executes the method described in the foregoing method embodiments. The computer program product may be a software installation package. In the case where the foregoing method needs to be used, the computer program product can be downloaded and executed on the computer.

[0078] The descriptions of the processes or structures corresponding to the foregoing respective drawings each have their own focuses. For parts not detailed in a certain process or structure, reference may be made to the relevant descriptions of other processes or structures.

[0079] The foregoing embodiments merely illustrate the principles and effects of the present application, rather than limiting the present application. Any person familiar with this technology can modify or change the foregoing embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present application should still be covered by the claims of the present application.

Claims

1. A method for adjusting device parameters, characterized in that, Applied to an Internet of Things cloud platform, the device parameter adjustment method includes: Obtain the binding data of the first sewing device; Obtain the change situation of the user efficiency of the first sewing device based on the binding data; Adjust the parameters of the first sewing device based on the change situation of the user efficiency.

2. The method for adjusting device parameters according to claim 1, characterized in that The binding data includes the login user data of the first sewing device, the current parameters of the first sewing device, the working data of the first sewing device, and the model of the first sewing device.

3. The method for adjusting device parameters according to claim 2, wherein, The obtaining of the change situation of the user efficiency of the first sewing device based on the binding data includes: Obtain the first efficiency based on the working data of the first sewing device, and obtain the second efficiency based on the login user data; the change situation of the user efficiency includes situation one and situation two; situation one is that the first efficiency is not lower than the second efficiency; situation two is that the first efficiency is lower than the second efficiency.

4. The method for adjusting device parameters according to claim 3, wherein The obtaining methods of the first efficiency and the second efficiency include: The working data of the first sewing device includes the standard working hours and the actual working hours of the login user under the current parameters of the first sewing device; calculate and obtain the first efficiency based on the actual working hours and the standard working hours; The login user data includes the second efficiency of the second sewing device under the habitual parameters; the model of the second sewing device is the same as that of the first sewing device.

5. The method for adjusting device parameters according to claim 3, wherein The adjustment of the parameters of the first sewing device based on the change situation of the user efficiency includes: the login user data includes the habitual parameters of this user under the same model as the first sewing device; when the change situation of the user efficiency is situation one, do not adjust the current parameters of the first sewing device; when the change situation of the user efficiency is situation two, adjust the current parameters of the first sewing device to the habitual parameters.

6. The method for adjusting device parameters according to claim 4, characterized in that When the change situation of the user efficiency is situation one, it further includes: updating the current parameters of the first sewing device to the habitual parameters of this user under the model of the first sewing device.

7. The method for adjusting device parameters according to claim 1, wherein The parameters include at least one of the angle of the front and back pedal response, the acceleration curve matched by the speed governor, and the start and stop response speed of the motor.

8. An apparatus parameter adjustment device, characterized in that, It includes: A device data acquisition module, used to acquire the binding data of the first sewing device; An efficiency change situation acquisition module, used to acquire the change situation of the user efficiency of the first sewing device based on the binding data; A parameter adjustment module, used to adjust the parameters of the first sewing device based on the change situation of the user efficiency.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the device parameter adjustment method described in any one of claims 1-7.

10. An electronic device, characterized in that, The electronic device includes: A memory, storing a computer program; A processor, communicatively connected to the memory, and when calling the computer program, executes the device parameter adjustment method described in any one of claims 1-7.

Images