Optimization control system, method and equipment and storage medium
By designing the tuning control system, the tuning effect of the terminal equipment motherboard is automatically verified, and the problem of low manual sampling efficiency is solved, and efficient and accurate verification and improvement of product quality is achieved.
Patent Information
- Application Number
- CN202311617680.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-29
- Publication Date
- 2025-05-30
AI Technical Summary
In the prior art, after the terminal equipment motherboard is tuned, manual random inspection and verification effects are relied on, resulting in a small number of random inspections and low efficiency, which affects product production quality.
Design a tuning control system, including the main control system, the dispatching vehicle system, the verification system, the rating system and the human-computer interaction system, transfer the target product from the dispatching vehicle system to the calibration system through an automated process, perform verification and rating, and output verification results.
Automatic verification of more target products has been achieved, calibration efficiency and accuracy have been improved, and product production quality and tuning reliability have been ensured.
Smart Images
Figure CN120065921A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of terminals, and in particular, to an optimization control system, method, device, and storage medium. Background Art
[0002] Products such as the main board of a terminal device usually need to go through some calibration or testing processes during production, so as to perform optimization based on the results of calibration or testing, thereby ensuring the production quality of the main board. However, in related technologies, after optimization, it is usually necessary to rely on manual sampling inspection to verify the optimization effect. Not only is the number of samples small, but the verification efficiency is also low, which will affect the production quality of products. Summary of the Invention
[0003] To overcome the problems existing in related technologies, embodiments of the present disclosure provide an optimization control system, method, device, and storage medium to solve the defects in related technologies.
[0004] According to a first aspect of an embodiment of the present disclosure, an optimization control system is provided. The optimization control system includes a main control system and a plurality of controlled systems communicatively connected to the main control system. The plurality of controlled systems include a scheduling vehicle system, a verification system, a rating system, and a human-computer interaction system;
[0005] The main control system is configured to perform information interaction with the plurality of controlled systems respectively to achieve scheduling of the plurality of controlled systems;
[0006] The scheduling vehicle system is configured to transfer a target product to the verification system based on an instruction sent by the main control system. The instruction includes an instruction sent by the main control system after determining that a preset index has been optimized. The target product includes products produced after the preset index is optimized;
[0007] The verification system is configured to verify the target product, obtain a verification result, and send it to the main control system;
[0008] The rating system is configured to obtain the verification result sent by the main control system, determine rating information of the verification result, and send it to the main control system;
[0009] The human-computer interaction system is configured to obtain the rating information sent by the main control system and output a target verification result in the verification result based on the rating information.
[0010] In some embodiments, the plurality of controlled systems further include:
[0011] A calculation system, configured to perform data analysis on the verification result to obtain an analysis result;
[0012] The rating system is also used to rate the analysis results to obtain the rating information.
[0013] In some embodiments, the computing system is also used to visualize the analysis results.
[0014] In some embodiments, the rating system is further used for:
[0015] In response to the analysis results meeting the first preset condition, determining the level of the analysis results as the first level, where the first level is used to indicate that production of the products in the batch to which the target product belongs is allowed;
[0016] In response to the analysis results meeting the second preset condition, determining the level of the analysis results as the second level, where the second level is used to indicate that the analysis results are transmitted to the human-computer interaction system for processing;
[0017] In response to the analysis results meeting the third preset condition, determining the level of the analysis results as the third level, where the third level is used to indicate that production of the products in the batch to which the target product belongs is prohibited.
[0018] In some embodiments, the third level is also used to indicate that the analysis results are transmitted to the human-computer interaction system for processing.
[0019] In some embodiments, the main control system includes:
[0020] A data preprocessing module, configured to preprocess the data sent by the controlled system to the main control system to obtain preprocessed data;
[0021] A model optimization module, configured to optimize the data processing model corresponding to the controlled system based on the preprocessed data to obtain an optimized model;
[0022] A model calculation module, configured to process the data sent by the controlled system to the main control system based on the optimized model.
[0023] In some embodiments, the main control system includes:
[0024] A data monitoring module, configured to monitor the data sent by the controlled system to the main control system.
[0025] In some embodiments, the scheduling vehicle system is further used for:
[0026] Based on the instruction sent by the main control system, controlling the loading platform to dock with the test platform of the verification system;
[0027] In response to the completion of the docking between the load platform and the test platform, transfer the target product to the calibration system.
[0028] In some embodiments, the calibration system is further configured to:
[0029] Obtain the product information of the target product from the load platform;
[0030] Determine the calibration mode of the target product based on the product information;
[0031] Calibrate the target product based on the calibration mode.
[0032] In some embodiments, the human-computer interaction system is further configured to:
[0033] Obtain the results in the calibration results where the rating information meets the set conditions, and use them as the target calibration results;
[0034] Output the target calibration results and receive the manual processing operations triggered by the target calibration results.
[0035] According to the second aspect of the embodiments of the present disclosure, there is provided an optimization control method, which is applied to an optimization control system. The optimization control system includes a main control system and a plurality of controlled systems communicatively connected to the main control system. The plurality of controlled systems include a dispatching vehicle system, a calibration system, a rating system, and a human-computer interaction system;
[0036] The method includes:
[0037] Perform information interaction with the plurality of controlled systems respectively through the main control system to achieve the scheduling of the plurality of controlled systems;
[0038] Receive the instruction sent by the main control system through the dispatching vehicle system, and transfer the target product to the calibration system based on the instruction. The instruction includes the instruction sent by the main control system after determining that the preset index has been optimized. The target product includes the product produced after the preset index is optimized;
[0039] Calibrate the target product through the calibration system to obtain a calibration result, and send it to the main control system;
[0040] Obtain the calibration result sent by the main control system through the rating system, determine the rating information of the calibration result, and send it to the main control system;
[0041] Obtain the rating information sent by the main control system through the human-computer interaction system, and output the target calibration result in the calibration result based on the rating information.
[0042] According to a third aspect of the embodiments of the present disclosure, an electronic device is provided, and the device includes:
[0043] a processor and a memory for storing a computer program;
[0044] wherein the processor is configured to, when executing the computer program, implement:
[0045] sending an instruction to a dispatching vehicle system after determining that a preset index has been optimized, so as to transfer a target product to a verification system through the dispatching vehicle system;
[0046] verifying the target product through the verification system to obtain a verification result, and sending the verification result to a rating system;
[0047] determining rating information of the verification result through the rating system, and sending the rating information to a human-computer interaction system;
[0048] outputting a target verification result in the verification result through the human-computer interaction system based on the rating information.
[0049] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the program implements:
[0050] sending an instruction to a dispatching vehicle system after determining that a preset index has been optimized, so as to transfer a target product to a verification system through the dispatching vehicle system;
[0051] verifying the target product through the verification system to obtain a verification result, and sending the verification result to a rating system;
[0052] determining rating information of the verification result through the rating system, and sending the rating information to a human-computer interaction system;
[0053] outputting a target verification result in the verification result through the human-computer interaction system based on the rating information.
[0054] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:
[0055] After the master control system determines that the preset indicators have been optimized, it sends instructions to the dispatching vehicle system to transfer the target product to the verification system through the dispatching vehicle system and verify the target product through the verification system to obtain a verification result, and determines the rating information of the verification result through the rating system, and outputs the target verification result in the verification result based on the rating information through the human-computer interaction system. Since the optimization control system is used to verify the target product without manual sampling inspection, more target products can be verified, the verification efficiency and accuracy can be improved, and thus the production quality of the product can be improved, and the optimization reliability closed-loop can be realized.
[0056] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. Brief Description of the Drawings
[0057] The drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.
[0058] Figure 1 is a block diagram of an optimization control system shown according to an exemplary embodiment of the present disclosure;
[0059] Figure 2 is another block diagram of an optimization control system shown according to an exemplary embodiment of the present disclosure;
[0060] Figure 3 is a block diagram of a master control system shown according to an exemplary embodiment of the present disclosure;
[0061] Figure 4 is a flowchart of an optimization control method shown according to an exemplary embodiment of the present disclosure;
[0062] Figure 5 is a block diagram of an electronic device shown according to an exemplary embodiment of the present disclosure. Detailed Description of the Embodiments
[0063] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.
[0064] During the production process of target products such as the main board of a terminal device (e.g., a smart phone), some calibrations or tests (e.g., radio frequency calibration or test, etc.) are usually required, and optimizations are carried out based on the results of the calibrations or tests to ensure the production quality of the main board. Taking radio frequency calibration or test as an example, when performing radio frequency calibration or test on the main board, it is necessary to use connection lines to connect the test instrument with the components of the main board (e.g., antenna base, transmitter or receiver, etc.). However, radio frequency line loss will be generated during the use of the connection lines, and this radio frequency line loss will increase with the change of the use time and the form of the connection lines. For example, the connection lines will gradually become bent during use, or several adapters are added to the connection lines, etc., all of which will make the resistance of the connection lines become larger, and then will cause the radio frequency line loss of the connection lines to increase. And the increase of the radio frequency line loss will cause deviations in the results of radio frequency calibration or test on the main board, thus affecting the production quality of the main board. Therefore, in the related art, the preset indicators such as the radio frequency line loss of the connection lines are usually optimized to produce the main board after optimization, so as to ensure the production quality of the main board.
[0065] However, after optimization in the related art, it is usually necessary to rely on manual sampling inspection to verify the optimization effect. Not only the number of samples is small, but also the verification efficiency is low, which will affect the production quality of the products.
[0066] In view of this, the present disclosure provides the following optimization control systems, methods, devices and storage media to solve the above drawbacks in the related art.
[0067] Figure 1 is a structural block diagram of an optimization control system shown according to an exemplary embodiment of the present disclosure; as Figure 1 shown, the optimization control system of this embodiment may include a main control system 110 and a plurality of controlled systems communicatively connected to the main control system 110 (e.g., wireless network connection, etc.). The plurality of controlled systems may include a dispatching vehicle system 120, a verification system 130, a rating system 140, and a human-computer interaction system 150;
[0068] Among them, the main control system 110 may be used to perform information interaction with the above-mentioned plurality of controlled systems respectively to realize the dispatching of the plurality of controlled systems;
[0069] The scheduling vehicle system 120 can be used to transfer a target product (such as the main board of a terminal device, etc.) to the verification system 130 based on an instruction sent by the main control system 110. As an example, the instruction can include an instruction sent by the main control system 110 after determining that a preset index (such as radio frequency line loss, etc.) has been optimized. The target product can include products produced after the preset index has been optimized. It should be noted that the above radio frequency line loss is only used to exemplarily illustrate the content of the preset index. In fact, the above preset index can refer to any adjustment and optimization object of the production equipment or detection equipment of the target product, and the present disclosure does not limit the content of the preset index. It can be understood that optimizing the preset index can improve the production quality of the target product.
[0070] For example, when the above preset index has been optimized, the main control system 110 will receive a notification message sent by the optimization end. Then, the main control system 11 can, in response to receiving the notification message, determine that the preset index has been optimized, and then send the above instruction to the scheduling vehicle system 120.
[0071] In some embodiments, the scheduling vehicle system 120 can also be used to control the docking of a load platform (such as a trolley, robot, or other equipment used to transfer the product to be tested) with the test platform of the verification system 130 based on the above instruction sent by the main control system 110. Then, in response to the load platform and the test platform completing the docking, the above target product can be transferred to the verification system 130.
[0072] The verification system 130 can be used to verify the target product, obtain a verification result, and send it to the main control system 110.
[0073] In some embodiments, the verification system 130 can also be used to obtain product information of the target product (such as product model information, etc.) from the load platform, and determine the verification mode of the target product based on the product information. Then, based on the verification mode, the target product can be verified. That is to say, in this embodiment, the corresponding relationship between various different product model information and the corresponding verification modes can be pre-constructed. Then, when the model information of the target product is determined, the verification mode applicable to the target product can be found based on this corresponding relationship.
[0074] The rating system 140 can be used to obtain the verification result from the main control system 110, determine the rating information of the verification result, and send it to the main control system 110.
[0075] The human-computer interaction system 150 can be used to obtain the above rating information from the main control system 110 and output the target verification result in the verification result based on the rating information.
[0076] For example, the human-computer interaction system 150 can obtain the result in the verification result where the rating information meets the set conditions, and use it as the target verification result, and output the target verification result (for example, the target verification result can be displayed to the staff in the form of images, data, or text), and then can receive the manual processing operation triggered by the staff for the target verification result. For example, the staff can manually determine whether production is possible, etc.
[0077] As can be seen from the above description, the system of this embodiment sends an instruction to the dispatching vehicle system after the main control system determines that the preset index has been optimized, so as to transfer the target product to the verification system through the dispatching vehicle system and verify the target product through the verification system to obtain a verification result, and determine the rating information of the verification result through the rating system, and output the target verification result in the verification result based on the rating information through the human-computer interaction system. Since the target product is verified using the optimization control system without manual sampling inspection, more target products can be verified, improving the verification efficiency and accuracy, and thus the production quality of the product can be improved, realizing a closed loop of optimization reliability. This closed loop of optimization reliability can refer to the process of discovering and improving product defects through verification and analysis after optimizing the target product, thereby improving the production quality of the product.
[0078] Figure 2 It is a structural block diagram of another optimization control system shown according to an exemplary embodiment of the present disclosure; wherein, the main control system 210, the dispatching vehicle system 220, the verification system 230, the rating system 240, and the human-computer interaction system 250 are the same as the Figure 1 main control system 110, the dispatching vehicle system 120, the verification system 130, the rating system 140, and the human-computer interaction system 150 in the shown embodiment, and will not be elaborated here.
[0079] As Figure 2 shown, the optimization control system of this embodiment may further include:
[0080] A computing system 260, configured to perform data analysis on the verification result to obtain an analysis result. In some other embodiments, the computing system 260 may also be configured to perform visualization processing on the analysis result, such as displaying the analysis result in the form of a graph or an icon.
[0081] Furthermore, the rating system 240 may also be configured to rate the analysis result to obtain the rating information.
[0082] For example, the rating system 140 can determine the level of the analysis result as the first level in response to the analysis result meeting a first preset condition (for example, if the analysis result indicates that the verification result is within the qualified range, then the analysis result meets the first preset condition). Here, the first level can be used to indicate that production of the products in the batch to which the target product belongs is allowed. For example, when the analysis result indicates
[0083] Alternatively, the rating system 140 can determine the level of the analysis result as the second level in response to the analysis result meeting a second preset condition (for example, if the analysis result indicates that the verification result is at the boundary between the qualified range and the unqualified range, then the analysis result meets the second preset condition). Here, the second level can be used to indicate that the analysis result is to be transmitted to the human-machine interaction system for processing.
[0084] Alternatively, the rating system 140 can also determine the level of the analysis result as the third level in response to the analysis result meeting a third preset condition (for example, if the analysis result indicates that the verification result is within the unqualified range, then the analysis result meets the third preset condition). Here, the third level can be used to indicate that production of the products in the batch to which the target product belongs is prohibited. In some embodiments, the above third level can also be used to indicate that the analysis result is to be transmitted to the human-machine interaction system for processing.
[0085] As can be seen from the above description, in this embodiment, the calculation system performs data analysis on the verification result to obtain an analysis result, and the rating system rates the analysis result to obtain the rating information, so as to accurately determine the rating information of the target product. Furthermore, subsequent output of the target verification result in the verification result through the human-machine interaction system based on the rating information can be achieved, which can improve the verification efficiency and accuracy, and further improve the production quality of the product, realizing the optimization of the reliability closed-loop.
[0086] Figure 3 is a structural block diagram of a main control system shown according to an exemplary embodiment of the present disclosure; as Figure 3 shown, the main control system 310 of this embodiment may include:
[0087] A data preprocessing module 311, configured to preprocess the data sent by the controlled system to the main control system to obtain preprocessed data;
[0088] A model optimization module 312, configured to optimize the data processing model corresponding to the controlled system based on the preprocessed data to obtain an optimized model;
[0089] A model calculation module 313, configured to process the data sent by the controlled system to the main control system based on the optimized model.
[0090] In some other embodiments, the above-mentioned master control system 310 may further include:
[0091] A data monitoring module 314, configured to monitor the data sent from the controlled system to the master control system.
[0092] For example, when the master control system 310 receives data sent by a verification system or the like, it can preprocess the data based on the data preprocessing module 311 (for example, compare the data with corresponding thresholds to distinguish qualified and / or unqualified data, etc.) to obtain preprocessed data, and then the model optimization module 312 optimizes the corresponding data processing model of the controlled system based on the preprocessed data to obtain an optimized model. Furthermore, the model calculation module 313 can process the data sent from the controlled system to the master control system based on the optimized model. By repeating this process, the closed-loop of model calculation and training can be achieved, which can improve the accuracy of model calculation and enhance the coordination ability of the master control system for each controlled system.
[0093] Figure 4 is a flowchart of a tuning control method shown according to an exemplary embodiment; the method of this embodiment can be executed by a tuning control system, which includes a master control system and multiple controlled systems communicatively connected to the master control system. The multiple controlled systems include a dispatching vehicle system, a verification system, a rating system, and a human-computer interaction system. For related content, reference can be made to the above Figures 1 to 3 illustrated embodiments and will not be elaborated here.
[0094] As Figure 4 shown, the method includes the following steps S401 - S405:
[0095] In step S401, the master control system respectively performs information interaction with the multiple controlled systems to achieve the scheduling of the multiple controlled systems;
[0096] In step S402, the dispatching vehicle system receives the instruction sent by the master control system and transfers the target product to the verification system based on the instruction. The instruction includes the instruction sent by the master control system after determining that the preset index has been optimized, and the target product includes the product produced after the preset index is optimized;
[0097] In step S403, the verification system verifies the target product to obtain a verification result and sends it to the master control system;
[0098] In step S404, obtain the verification result sent by the master control system through the rating system, determine the rating information of the verification result, and send it to the master control system;
[0099] In step S405, obtain the rating information sent by the master control system through the human-machine interaction system, and output the target verification result in the verification result based on the rating information.
[0100] Regarding the method in this embodiment, the relevant explanations of each step have been described in detail in the system embodiment of the method, and will not be elaborated here.
[0101] As can be seen from the above description, the method of this embodiment determines that the preset index has been optimized by the master control system and then sends an instruction to the dispatching vehicle system, so as to transfer the target product to the verification system through the dispatching vehicle system and verify the target product through the verification system to obtain a verification result, and determine the rating information of the verification result through the rating system, and output the target verification result in the verification result based on the rating information through the human-machine interaction system. Since the optimized control system is used to verify the target product without manual sampling inspection, more target products can be verified, the verification efficiency and accuracy can be improved, and then the production quality of the product can be improved, and the optimized reliability closed-loop can be realized.
[0102] Figure 5 It is a block diagram of an electronic device shown according to an exemplary embodiment. For example, device 900 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.
[0103] Refer to Figure 5 , device 900 may include one or more of the following components: a processing component 902, a memory 904, a power component 906, a multimedia component 908, an audio component 910, an input / output (I / O) interface 912, a sensor component 914, and a communication component 916.
[0104] The processing component 902 generally controls the overall operation of the device 900, such as operations associated with display, telephone call, data communication, camera operation, and recording operation. The processing component 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the above-described optimization control method. In addition, the processing component 902 may include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.
[0105] The memory 904 is configured to store various types of data to support the operation of the device 900. Examples of such data include instructions for any application or method operating on the device 900, contact data, phone book data, messages, pictures, videos, and the like. The memory 904 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.
[0106] The power supply component 906 provides power to various components of the device 900. The power supply component 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.
[0107] The multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display panel and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of touch or swipe actions but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 908 includes a front camera and / or a rear camera. When the device 900 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
[0108] The audio component 910 is configured to output and / or input audio signals. For example, the audio component 910 includes a microphone (MIC) that is configured to receive external audio signals when the device 900 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.
[0109] The I / O interface 912 provides an interface between the processing component 902 and a peripheral interface module, which can be a keyboard, a click wheel, buttons, etc. These buttons can include, but are not limited to: a home button, a volume button, a power-on button, and a lock button.
[0110] The sensor assembly 914 includes one or more sensors for providing a status assessment of various aspects of the device 900. For example, the sensor assembly 914 can detect the on / off state of the device 900, the relative positioning of components, such as the display panel and keypad of the device 900. The sensor assembly 914 can also detect a change in the position of the device 900 or a component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration / deceleration of the device 900, and the temperature change of the device 900. The sensor assembly 914 can also include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 914 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
[0111] The communication component 916 is configured to facilitate communication between the device 900 and other devices in a wired or wireless manner. The device 900 can access a wireless network based on communication standards, such as WiFi, 2G or 3G, 4G or 5G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
[0112] In an exemplary embodiment, the device 900 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described tuning control method.
[0113] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 904 including instructions, and the above instructions can be executed by a processor 920 of the device 900 to complete the above-described tuning control method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.
[0114] Other embodiments of the present disclosure will be readily apparent to those skilled in the art in view of the specification and practice of the disclosure herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.
[0115] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.
Claims
1. A tuning control system, characterized in that, the tuning control system includes a main control system and a plurality of controlled systems communicatively connected to the main control system, and the plurality of controlled systems include a dispatching vehicle system, a verification system, a rating system, and a human-computer interaction system; the main control system is configured to perform information interaction with the plurality of controlled systems respectively to achieve scheduling of the plurality of controlled systems; the dispatching vehicle system is configured to transfer a target product to the verification system based on an instruction sent by the main control system, where the instruction includes an instruction sent by the main control system after determining that a preset index has been optimized, and the target product includes a product produced after the preset index is optimized; the verification system is configured to verify the target product to obtain a verification result and send it to the main control system; the rating system is configured to obtain the verification result sent by the main control system, determine rating information of the verification result, and send it to the main control system; the human-computer interaction system is configured to obtain the rating information sent by the main control system and output a target verification result in the verification result based on the rating information.
2. The tuning control system according to claim 1, characterized in that, the plurality of controlled systems further include: a calculation system configured to perform data analysis on the verification result to obtain an analysis result; the rating system is further configured to rate the analysis result to obtain the rating information.
3. The tuning control system according to claim 2, characterized in that, the calculation system is further configured to perform visualization processing on the analysis result.
4. The tuning control system according to claim 2, characterized in that, the rating system is further configured to: in response to the analysis result satisfying a first preset condition, determine the level of the analysis result as a first level, where the first level is used to indicate that production of products in the batch to which the target product belongs is allowed; in response to the analysis result satisfying a second preset condition, determine the level of the analysis result as a second level, where the second level is used to indicate that the analysis result is transmitted to the human-computer interaction system for processing; in response to the analysis result satisfying a third preset condition, determine the level of the analysis result as a third level, where the third level is used to indicate that production of products in the batch to which the target product belongs is prohibited.
5. The tuning control system according to claim 4, characterized in that, the third level is further used to indicate that the analysis result is transmitted to the human-computer interaction system for processing.
6. The tuning control system according to claim 1, characterized in that, the main control system includes: a data preprocessing module configured to preprocess data sent by the controlled system to the main control system to obtain preprocessed data; a model optimization module configured to optimize a data processing model corresponding to the controlled system based on the preprocessed data to obtain an optimized model; a model calculation module configured to process data sent by the controlled system to the main control system based on the optimized model.
7. The tuning control system according to claim 1, It is characterized in that the main control system includes: a data monitoring module, configured to monitor the data sent from the controlled system to the main control system.
8. The optimization control system according to claim 1, it is characterized in that the scheduling vehicle system is further configured to: control the loading platform to dock with the test platform of the verification system based on the instruction sent by the main control system; in response to the completion of the docking between the loading platform and the test platform, transfer the target product to the verification system.
9. The optimization control system according to claim 8, it is characterized in that the verification system is further configured to: obtain the product information of the target product from the loading platform; determine the verification mode of the target product based on the product information; verify the target product based on the verification mode.
10. The optimization control system according to claim 1, it is characterized in that the human-computer interaction system is further configured to: obtain the results in the verification results where the rating information meets the set conditions, and use them as the target verification results; output the target verification results and receive the manual processing operations triggered for the target verification results.
11. An optimization control method, it is characterized in that it is applied to an optimization control system, the optimization control system includes a main control system and a plurality of controlled systems communicatively connected to the main control system, and the plurality of controlled systems include a scheduling vehicle system, a verification system, a rating system, and a human-computer interaction system; the method includes: respectively perform information interaction between the main control system and the plurality of controlled systems to realize the scheduling of the plurality of controlled systems; receive the instruction sent by the main control system through the scheduling vehicle system, and transfer the target product to the verification system based on the instruction, the instruction includes the instruction sent by the main control system after determining that the preset index has been optimized, and the target product includes the product produced after the preset index is optimized; verify the target product through the verification system to obtain a verification result, and send it to the main control system; obtain the verification result sent by the main control system through the rating system, determine the rating information of the verification result, and send it to the main control system; obtain the rating information sent by the main control system through the human-computer interaction system, and output the target verification result in the verification result based on the rating information.
12. An electronic device, it is characterized in that the device includes: a processor and a memory for storing a computer program; wherein, the processor is configured to, when executing the computer program, implement: send an instruction to the scheduling vehicle system after determining that the preset index has been optimized, so as to transfer the target product to the verification system through the scheduling vehicle system; verify the target product through the verification system to obtain a verification result, and send it to the rating system; determine the rating information of the verification result through the rating system, and send it to the human-computer interaction system; output the target verification result in the verification result based on the rating information through the human-computer interaction system.
13. A computer-readable storage medium having a computer program stored thereon, characterized in that, when the program is executed by a processor, it realizes: sending an instruction to a dispatching vehicle system after determining that a preset index has been optimized, so as to transfer a target product to a verification system through the dispatching vehicle system; verifying the target product through the verification system to obtain a verification result, and sending it to a rating system; determining rating information of the verification result through the rating system, and sending it to a human-computer interaction system; outputting a target verification result in the verification result through the human-computer interaction system based on the rating information.