Self-adaptive electronic license plate semi-finished product manufacturing method and system based on ASA material

Abstract

The invention discloses a self-adaptive electronic license plate semi-finished product manufacturing method and system based on an ASA material, and belongs to the technical field of intelligent traffic facility manufacturing. License plate performance parameters needing to be achieved are obtained by obtaining and calculating license plate manufacturing requirement parameters, accurate quantification of performance is achieved, and the manufacturing efficiency is improved. The corresponding material ratio is reasoned through the material ratio reasoning model, randomness of empirical ratio is avoided, a more accurate and stable ratio mechanism is formed, meanwhile, corresponding drying process parameters and injection molding process parameters are intelligently matched according to the material ratio, automatic process control is achieved, and production efficiency is improved. And the candidate electronic license plate semi-finished products are subjected to online nondestructive testing, so that the controllability and traceability of the process are improved.

Description

Technical Field

[0001] This invention belongs to the field of intelligent transportation facility manufacturing technology, specifically relating to a method and system for manufacturing semi-finished adaptive electronic license plates based on ASA materials. Background Technology

[0002] In the traditional electronic license plate manufacturing industry, there have long been many deep-seated problems restricting product quality and production efficiency. The core root cause lies in the fact that the fixed model of material ratios and process parameters is difficult to adapt to diverse product needs. Currently, the industry generally adopts a material formulation system based on fixed experience values. That is, for license plate products of different sizes and service life requirements, a pre-set ASA material ratio scheme is used. This static formulation strategy leads to a serious disconnect between material performance and actual needs: small-sized license plates suffer from cost waste due to material redundancy, while large-sized license plates are prone to deformation due to insufficient strength; short-term use license plates exhibit excessive weather resistance, resulting in overperformance, while license plates exposed to harsh environments for a long time fail prematurely due to rapid material aging. More prominently, electronic license plates face unique technical bottlenecks. Because the RFID chip needs to be embedded within the substrate, existing processes encounter a dilemma in the injection molding stage: if conventional drying parameters and injection pressure are used, the glass fiber content and crystallinity of the ASA material are difficult to control precisely, easily leading to micro-stress concentration around the chip and causing chip-substrate interface delamination; if the process temperature is lowered to protect the chip, insufficient material flow can cause filling defects, resulting in hidden damage such as internal pores. Even more serious is the fact that existing quality control systems use offline sampling inspection, meaning chip malfunctions are often only discovered days or even weeks after the product rolls off the production line. By then, the production batch has already passed through multiple process stages, and fault tracing requires retrieving data from the entire process and disassembling a large number of finished products, causing not only significant economic losses but also potentially triggering a crisis of customer trust due to delivery delays.

[0003] As mentioned above, how to provide a method and system for manufacturing adaptive electronic license plate semi-finished products based on ASA materials that can dynamically and adaptively generate process parameters, complete online inspection, and form an integrated control process has become an urgent problem to be solved. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for manufacturing semi-finished adaptive electronic license plates based on ASA materials, in order to solve the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides a method for manufacturing a semi-finished adaptive electronic license plate based on ASA material, comprising:

[0007] Obtain the license plate production requirement parameters, and calculate the license plate performance parameters based on the license plate production requirement parameters;

[0008] A pre-trained material ratio inference model is obtained, and the license plate performance parameters are used as input to the material ratio inference model to infer the corresponding material ratio. Based on the material ratio, the corresponding drying process parameters and injection molding process parameters are generated.

[0009] Based on the drying process parameters and the injection molding process parameters, the electronic license plate semi-finished product is manufactured to obtain a candidate electronic license plate semi-finished product, wherein the candidate electronic license plate semi-finished product is coated with an RFID chip.

[0010] The system obtains preset product qualification conditions and performs online non-destructive testing on the candidate electronic license plate semi-finished products to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products. Based on the product qualification conditions, the system determines the qualification of the chip signal strength and chip response time to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline process to generate electronic license plate semi-finished products.

[0011] In one possible design, license plate production requirement parameters are obtained, and license plate performance parameters are calculated based on these parameters, including:

[0012] Obtain license plate production requirement parameters, wherein the license plate production requirement parameters include license plate size requirement parameters and license plate age requirement parameters, and the license plate size requirement parameters include license plate length parameter, license plate width parameter and license plate thickness parameter;

[0013] Obtain the preset material calibration constants, and based on the license plate manufacturing requirements parameters, calculate the license plate mechanical strength threshold and license plate weather resistance coefficient using the following formulas:

[0014]

[0015] Where, N min The value represents the mechanical strength threshold of the license plate, C represents the weather resistance coefficient of the license plate, L represents the length parameter of the license plate, W represents the width parameter of the license plate, H represents the thickness parameter of the license plate, Y represents the annual requirement parameter of the license plate, k1, k2 and k3 are preset material calibration constants, and e is the base of the natural logarithm.

[0016] The license plate mechanical strength threshold N min The license plate weather resistance coefficient C is integrated with the license plate to form the license plate performance parameters.

[0017] In one possible design, the pre-training process of the material proportioning reasoning model includes:

[0018] Obtain historical qualified license plate production records, wherein the historical qualified license plate production records include historical qualified license plate size information, historical qualified license plate service life information, and historical qualified license plate material ratio information;

[0019] The performance parameters of the historically qualified license plates are calculated using the size information and the service life information of the historically qualified license plates.

[0020] Using the historical qualified license plate performance parameter information as input and the historical qualified license plate material ratio information as output, multiple rounds of model training are performed to obtain the model training result that optimizes the electronic license plate performance parameters, which serves as the material ratio inference model.

[0021] In one possible design, the license plate performance parameters are used as input to the material proportioning inference model to deduce the corresponding material proportions. Based on these material proportions, corresponding drying process parameters and injection molding process parameters are generated, including:

[0022] The license plate performance parameters are used as inputs to the material ratio inference model to infer the corresponding material ratio. The material ratio includes the usage proportions of ASA material, PC material, pigments and additives.

[0023] The proportion of ASA material in the material ratio is calculated based on the proportion of ASA material used in the material ratio.

[0024] Obtain a preset ASA material percentage threshold, compare the percentage of ASA material in the material ratio with the ASA material percentage threshold, and obtain the comparison result;

[0025] If the comparison result shows that the proportion of ASA material in the material ratio is lower than the threshold of the proportion of ASA material, then the first drying process parameters and the first injection molding process parameters are output.

[0026] If the comparison result shows that the proportion of ASA material in the material ratio is not lower than the ASA material proportion threshold, then the second drying process parameter and the second injection molding process parameter are output.

[0027] The first drying process parameter or the second drying process parameter is used as the drying process parameter, wherein the drying process parameter includes the drying temperature parameter and the drying time parameter;

[0028] The first injection molding process parameter or the second injection molding process parameter is used as the injection molding process parameter, wherein the injection molding process parameter includes the injection temperature range and the mold temperature range.

[0029] In one possible design, based on the drying process parameters and the injection molding process parameters, a semi-finished electronic license plate is manufactured to obtain a candidate semi-finished electronic license plate, including:

[0030] According to the material ratio, materials of the corresponding proportion are retrieved from the material library, and the materials are mixed to obtain a blend.

[0031] The blend is dried according to the drying process parameters, and the dried blend is then fed into the injection molding station.

[0032] According to the injection molding process parameters, the blend is injection molded at the injection molding station, and the RFID chip is added to the blend for coating treatment to obtain a candidate electronic license plate semi-finished product.

[0033] In one possible design, preset product qualification conditions are obtained, and online non-destructive testing is performed on the candidate electronic license plate semi-finished products to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products. Based on the product qualification conditions, the chip signal strength and chip response time are judged to determine their compliance, thereby selecting qualified candidate electronic license plate semi-finished products and automatically completing the production line removal process to generate electronic license plate semi-finished products, including:

[0034] At the injection molding station, a pre-set card reader is used to perform online non-destructive inspection on the candidate electronic license plate semi-finished product, so as to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished product through the pre-set card reader;

[0035] Obtain preset product qualification conditions for removal from the production line, wherein the product qualification conditions for removal from the production line include a chip signal strength threshold and a chip response time threshold;

[0036] Determine whether the signal strength of the chip is not lower than the signal strength threshold of the chip;

[0037] If the chip signal strength is lower than the chip signal strength threshold, the candidate electronic license plate semi-finished product is considered unqualified.

[0038] If the chip signal strength is not lower than the chip signal strength threshold, then determine whether the chip response time does not exceed the chip response time threshold.

[0039] If the chip response time exceeds the chip response time threshold, the candidate electronic license plate semi-finished product is considered unqualified.

[0040] If the chip response time does not exceed the chip response time threshold, the candidate electronic license plate semi-finished product is considered qualified.

[0041] The qualified candidate electronic license plate semi-finished products are automatically removed from the production line to obtain the electronic license plate semi-finished products.

[0042] In one possible design, after obtaining the semi-finished electronic license plate, the following is also included:

[0043] Determine whether any of the candidate electronic license plate semi-finished products are unqualified;

[0044] If any of the candidate electronic license plate semi-finished products are found to be unqualified, they will be kept at the injection molding station, an alarm signal will be issued, and a fault information record will be generated. The fault information record includes the license plate manufacturing requirements parameters of the unqualified candidate electronic license plate semi-finished product, the material ratio of the unqualified candidate electronic license plate semi-finished product, the drying process parameters of the unqualified candidate electronic license plate semi-finished product, and the injection molding process parameters of the unqualified candidate electronic license plate semi-finished product.

[0045] If no unqualified candidate electronic license plate semi-finished products are found, a production completion notification will be issued after the electronic license plate semi-finished product is obtained.

[0046] In a second aspect, the present invention provides an adaptive electronic license plate semi-finished product manufacturing system based on ASA material, applicable to the adaptive electronic license plate semi-finished product manufacturing method based on ASA material as described in the first aspect or any possible design of the first aspect, comprising:

[0047] The requirement acquisition module is used to acquire license plate production requirement parameters and calculate license plate performance parameters based on the license plate production requirement parameters.

[0048] The process reasoning module is used to obtain a pre-trained material ratio reasoning model, take the license plate performance parameters as input, input them into the material ratio reasoning model, and infer the corresponding material ratio through the material ratio reasoning model. Based on the material ratio, the module generates the corresponding drying process parameters and injection molding process parameters.

[0049] The license plate manufacturing module is used to manufacture electronic license plate semi-finished products based on the drying process parameters and the injection molding process parameters to obtain candidate electronic license plate semi-finished products, wherein the candidate electronic license plate semi-finished products are coated with RFID chips.

[0050] The product inspection module is used to obtain preset product qualification conditions and perform online non-destructive inspection on the candidate electronic license plate semi-finished products. It reads the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products, and judges the qualification of the chip signal strength and chip response time according to the product qualification conditions. In order to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline production, generating electronic license plate semi-finished products.

[0051] Thirdly, the present invention provides an electronic device comprising a memory, a processor, and a transceiver connected in sequence and communication, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the method for manufacturing a semi-finished adaptive electronic license plate based on ASA material as described in the first aspect or any possible design of the first aspect.

[0052] Fourthly, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, perform the XXXXXXX method described in the first aspect or any possible design of the first aspect.

[0053] Fifthly, the present invention provides a computer program product containing instructions that, when executed on a computer, cause the computer to perform the method for manufacturing a semi-finished adaptive electronic license plate based on ASA material as described in the first aspect or any possible design of the first aspect.

[0054] Beneficial Effects: This invention provides a method and system for manufacturing semi-finished adaptive electronic license plates based on ASA materials, including: firstly, acquiring license plate manufacturing requirement parameters and calculating license plate performance parameters based on these parameters; secondly, acquiring a pre-trained material ratio inference model, inputting the license plate performance parameters as input to the model to infer the corresponding material ratio, and generating corresponding drying process parameters and injection molding process parameters based on the material ratio; and then, based on the drying process parameters and the injection molding process... The system uses parameters to manufacture semi-finished electronic license plates, resulting in candidate semi-finished electronic license plates, each containing an RFID chip. Finally, preset product qualification conditions are obtained, and the candidate semi-finished electronic license plates undergo online non-destructive testing to read the signal strength and response time of the RFID chip. Based on the product qualification conditions, the chip signal strength and response time are judged for compliance, selecting qualified candidate semi-finished electronic license plates and automatically completing the production process to generate the finished electronic license plate. By acquiring and calculating the license plate manufacturing requirements parameters, the required license plate performance parameters are obtained, achieving precise performance quantification. A material ratio inference model is used to deduce the corresponding material ratio, avoiding the randomness of empirical ratios and forming a more accurate and stable ratio mechanism. Simultaneously, the corresponding drying and injection molding process parameters are intelligently matched based on the material ratio, achieving automated process control. Online non-destructive testing of the candidate semi-finished electronic license plates improves the controllability and traceability of the process. Attached Figure Description

[0055] Figure 1 A flowchart illustrating the method for manufacturing a semi-finished adaptive electronic license plate based on ASA material, as provided in an embodiment of the present invention.

[0056] Figure 2 This is a functional structure diagram of an adaptive electronic license plate semi-finished product manufacturing system based on ASA material provided in an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0058] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and descriptions of the embodiments or the prior art. Obviously, the following description of the structure of the accompanying drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0059] It should be understood that although the terms first, second, etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit, without departing from the scope of the exemplary embodiments of the invention.

[0060] It should be understood that the term "and / or" that may appear in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist simultaneously. The term " / and" that may appear in this document describes another relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " that may appear in this document generally indicates that the related objects before and after it are in an "or" relationship.

[0061] Example:

[0062] like Figure 1 As shown, the first aspect of this embodiment provides a method for manufacturing a semi-finished adaptive electronic license plate based on ASA material, which may include, but is not limited to, the following steps:

[0063] S1. Obtain the license plate production requirement parameters, and calculate the license plate performance parameters based on the license plate production requirement parameters;

[0064] In one possible implementation, step S1, obtaining the license plate production requirement parameters and calculating the license plate performance parameters based on these parameters, can be broken down into steps S11-S13, including, but not limited to:

[0065] S11. Obtain license plate production requirement parameters, wherein the license plate production requirement parameters include license plate size requirement parameters and license plate age requirement parameters, and the license plate size requirement parameters include license plate length parameter, license plate width parameter and license plate thickness parameter;

[0066] S12. Obtain the preset material calibration constant, and based on the license plate manufacturing requirements parameters, calculate the license plate mechanical strength threshold and license plate weather resistance coefficient using the following formula:

[0067]

[0068] Where, N min The value represents the mechanical strength threshold of the license plate, C represents the weather resistance coefficient of the license plate, L represents the length parameter of the license plate, W represents the width parameter of the license plate, H represents the thickness parameter of the license plate, Y represents the annual requirement parameter of the license plate, k1, k2 and k3 are preset material calibration constants, and e is the base of the natural logarithm.

[0069] S13. Set the license plate mechanical strength threshold N min The license plate weather resistance coefficient C is integrated with the license plate to form the license plate performance parameters.

[0070] It should be noted that the mechanical strength threshold N of the license plate min This parameter represents the minimum mechanical performance requirements for meeting specific license plate requirements (license plate size requirements parameters L, W, and H, and license plate age requirements parameter Y). The value varies depending on the requirements, as the size limits its area and thickness. The area affects the overall bending moment and stress of the license plate, while the thickness affects its stiffness. The age requirement takes into account the need to maintain the license plate's mechanical strength threshold N even under aging conditions. min The requirements are as follows; meanwhile, the license plate weather resistance coefficient C represents the minimum requirement for the anti-aging ability of the license plate material in order to be used normally for a certain number of years under normal outdoor environment (sunlight, rain, temperature difference and pollution, etc.) (refer to the license plate age requirement parameter Y).

[0071] In practical applications, different license plate mechanical strength thresholds N min The weather resistance coefficient C of the license plate imposes different requirements on the material ratio, and the specific requirements need to be based on the specific mechanical strength threshold N of the license plate. min It is obtained by reverse reasoning from the aforementioned license plate weather resistance coefficient C.

[0072] S2. Obtain a pre-trained material ratio inference model, input the license plate performance parameters as input to the material ratio inference model, infer the corresponding material ratio through the material ratio inference model, and generate the corresponding drying process parameters and injection molding process parameters based on the material ratio;

[0073] In one possible implementation, the pre-training process of the material proportioning reasoning model in step S2 may include, but is not limited to, the following steps S201-S203:

[0074] S201. Obtain historical qualified license plate production records, wherein the historical qualified license plate production records include historical qualified license plate size information, historical qualified license plate service life information, and historical qualified license plate material ratio information;

[0075] S202. Calculate the performance parameters of the historical qualified license plates using the size information and the service life information of the historical qualified license plates;

[0076] S203. Using the historical qualified license plate performance parameter information as input and the historical qualified license plate material ratio information as output, perform multiple rounds of model training to obtain the model training result that optimizes the electronic license plate performance parameters, and use it as the material ratio inference model.

[0077] In one possible implementation, step S2 involves inputting the license plate performance parameters as input to the material proportioning inference model to deduce the corresponding material proportions. Based on these material proportions, corresponding drying process parameters and injection molding process parameters are generated. This step can be broken down into steps S21-S27, but is not limited to:

[0078] S21. The license plate performance parameters are used as inputs to the material ratio inference model to infer the corresponding material ratio, wherein the material ratio includes the usage ratio of ASA material, PC material, pigment and additives.

[0079] S22. Calculate the proportion of ASA material in the material ratio based on the usage ratio of ASA material in the material ratio;

[0080] S23. Obtain a preset ASA material percentage threshold, compare the percentage of ASA material in the material ratio with the ASA material percentage threshold, and obtain a comparison result;

[0081] S24. If the comparison result shows that the proportion of ASA material in the material ratio is lower than the threshold of the proportion of ASA material, then output the first drying process parameters and the first injection molding process parameters;

[0082] S25. If the comparison result shows that the proportion of ASA material in the material ratio is not lower than the ASA material proportion threshold, then output the second drying process parameters and the second injection molding process parameters.

[0083] S26. Use the first drying process parameter or the second drying process parameter as the drying process parameter, wherein the drying process parameter includes a drying temperature parameter and a drying time parameter;

[0084] S27. Use the first injection molding process parameter or the second injection molding process parameter as the injection molding process parameter, wherein the injection molding process parameter includes the injection temperature range and the mold temperature range.

[0085] It should be noted that ASA (Acrylonitrile Styrene-acrylate copolymer) material has excellent weather resistance, making it very suitable for license plate production in this embodiment. PC (Polycarbonate) material, on the other hand, has non-crystalline thermoplasticity, high impact resistance, and heat and cold resistance. Therefore, using a higher proportion of PC material can improve the mechanical strength of the license plate. Thus, in order to balance the weather resistance and mechanical strength of the license plate, it is necessary to reverse-engineer based on the specific performance parameters of the license plate to obtain the accurate material ratio.

[0086] In practical applications, when pre-training the material proportioning inference model, environmental factors (temperature, humidity, light intensity, etc.) can be introduced to optimize the model, and the results can be optimized for cost (when the performance parameters corresponding to multiple proportioning results are the same or similar, the proportioning result with the lowest ASA material usage ratio can be selected as the material proportioning output by the final model), which significantly improves the accuracy and functionality of the model.

[0087] Specifically, in a preferred embodiment, the ASA material content threshold can be preset to 55%. If the ASA material content is not less than 55%, then 80°C is selected as the drying temperature parameter, 2 hours as the drying time parameter, the injection molding temperature range is selected as 230-260°C, and the mold temperature range is selected as 60-80°C. If the ASA material content is less than 55%, then 80°C is selected as the drying temperature parameter, 4 hours as the drying time parameter, the injection molding temperature range is selected as 250-270°C, and the mold temperature range is selected as 90-100°C.

[0088] S3. Based on the drying process parameters and the injection molding process parameters, the electronic license plate semi-finished product is manufactured to obtain a candidate electronic license plate semi-finished product, wherein the candidate electronic license plate semi-finished product is coated with an RFID chip;

[0089] In one possible implementation, step S3 involves manufacturing the electronic license plate semi-finished product based on the drying process parameters and the injection molding process parameters to obtain a candidate electronic license plate semi-finished product. This can be broken down into, but is not limited to, the following steps S31-S33, specifically including:

[0090] S31. According to the material ratio, retrieve the corresponding proportion of materials from the material library and mix the materials to obtain a blend;

[0091] S32. The blend is dried according to the drying process parameters, and the dried blend is then fed into the injection molding station.

[0092] S33. According to the injection molding process parameters, the blend is injection molded at the injection molding station, and the RFID chip is added to the blend for coating treatment to obtain a candidate electronic license plate semi-finished product.

[0093] It should be noted that an RFID chip (Radio Frequency Identification Chip) is a miniature electronic device that uses radio frequency signals for contactless data transmission. When placed inside a license plate, it can communicate with a card reader via radio waves, enabling the reading and writing of license plate information without physical contact, thus completing the subsequent license plate information entry and use.

[0094] Furthermore, in practical applications, retrieving materials in the corresponding proportions from a material library requires pre-establishing the material library. Examples of such material libraries include, but are not limited to, a main material library containing information such as main material ID, main material name, main material density, and main material tensile strength; an additive library containing information such as additive ID, additive name, additive type, additive UV resistance rating, and additive addition ratio; a composite material library containing information such as composite material ID and composite material name; and a related base material library containing information such as related base material ID, related base material name, and related base material additives. By matching material IDs from the material library using material proportions, material retrieval can be achieved quickly.

[0095] S4. Obtain preset product qualification conditions, perform online non-destructive testing on the candidate electronic license plate semi-finished products, read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products, determine the qualification of the chip signal strength and chip response time according to the product qualification conditions, screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline process to generate electronic license plate semi-finished products.

[0096] In one possible implementation, step S4 involves obtaining preset product qualification conditions, performing online non-destructive testing on the candidate electronic license plate semi-finished products to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products, and determining the qualification of the chip signal strength and chip response time according to the product qualification conditions to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline process to generate electronic license plate semi-finished products. This can be broken down into steps S41-S43, specifically including:

[0097] S41. At the injection molding station, a pre-set card reader is used to perform online non-destructive inspection on the candidate electronic license plate semi-finished product, so as to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished product through the pre-set card reader;

[0098] S42. Obtain preset product qualification conditions, wherein the product qualification conditions include a chip signal strength threshold and a chip response time threshold;

[0099] S43. Determine whether the chip signal strength is not lower than the chip signal strength threshold;

[0100] S44. If the chip signal strength is lower than the chip signal strength threshold, the candidate electronic license plate semi-finished product is considered unqualified;

[0101] S45. If the chip signal strength is not lower than the chip signal strength threshold, then determine whether the chip response time does not exceed the chip response time threshold;

[0102] S46. If the chip response time exceeds the chip response time threshold, the candidate electronic license plate semi-finished product is considered unqualified;

[0103] S47. If the chip response time does not exceed the chip response time threshold, the candidate electronic license plate semi-finished product is considered qualified;

[0104] S48. The qualified candidate electronic license plate semi-finished products are automatically removed from the production line to obtain the electronic license plate semi-finished products.

[0105] In one possible implementation, after obtaining the semi-finished electronic license plate, step S4 may further include, but is not limited to, the following steps S491-S493:

[0106] S491. Determine whether any of the candidate electronic license plate semi-finished products are unqualified;

[0107] If a substandard candidate electronic license plate semi-finished product is found, it shall be kept at the injection molding station, an alarm signal shall be issued, and a fault information record shall be generated. The fault information record shall include the license plate manufacturing requirements parameters of the substandard candidate electronic license plate semi-finished product, the material ratio of the substandard candidate electronic license plate semi-finished product, the drying process parameters of the substandard candidate electronic license plate semi-finished product, and the injection molding process parameters of the substandard candidate electronic license plate semi-finished product.

[0108] S493. If no unqualified candidate electronic license plate semi-finished product is found, a production completion notification shall be issued after the electronic license plate semi-finished product is obtained.

[0109] It should be noted that the online non-destructive testing method provided in this embodiment avoids the problem of tracing non-conforming products. It completes the screening of non-conforming products online, and provides feedback on corresponding fault information and alarms, which improves the reliability of chip integration, helps to achieve rapid tracing of non-conforming products, and facilitates subsequent fault diagnosis and overall system optimization. It greatly saves the time consumed in product tracing and analysis, improves the work efficiency of the entire license plate production process, and forms a closed-loop control of three stages: dynamic generation of material ratios, intelligent matching of process parameters, and online inspection of chip integration.

[0110] like Figure 2 As shown, the second aspect of this embodiment provides a hardware system for implementing the adaptive electronic license plate semi-finished product manufacturing method based on ASA material described in the first aspect of the embodiment, including:

[0111] The requirement acquisition module is used to acquire license plate production requirement parameters and calculate license plate performance parameters based on the license plate production requirement parameters.

[0112] The process reasoning module is used to obtain a pre-trained material ratio reasoning model, take the license plate performance parameters as input, input them into the material ratio reasoning model, and infer the corresponding material ratio through the material ratio reasoning model. Based on the material ratio, the module generates the corresponding drying process parameters and injection molding process parameters.

[0113] The license plate manufacturing module is used to manufacture electronic license plate semi-finished products based on the drying process parameters and the injection molding process parameters to obtain candidate electronic license plate semi-finished products, wherein the candidate electronic license plate semi-finished products are coated with RFID chips.

[0114] The product inspection module is used to obtain preset product qualification conditions and perform online non-destructive inspection on the candidate electronic license plate semi-finished products. It reads the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products, and judges the qualification of the chip signal strength and chip response time according to the product qualification conditions. In order to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline production, generating electronic license plate semi-finished products.

[0115] The working process, working details and technical effects of the system provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0116] like Figure 3 As shown, the third aspect of this embodiment provides an electronic device, including: a memory, a processor, and a transceiver that are sequentially and communicatively connected, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the method for manufacturing a semi-finished adaptive electronic license plate based on ASA material as described in the first aspect of the embodiment.

[0117] For specific examples, the memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out (FIFO) memory, and / or first-in-last-out (FILO) memory, etc.; specifically, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor may be implemented using at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor, also known as the CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state.

[0118] In some embodiments, the processor may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. For example, the processor may not be limited to microprocessors of the STM32F105 series, reduced instruction set computer (RISC) microprocessors, x86 architecture processors, or processors with integrated neural network processing units (NPUs). The transceiver may be, but is not limited to, a Wi-Fi transceiver, a Bluetooth transceiver, a General Packet Radio Service (GPRS) transceiver, a ZigBee (a low-power LAN protocol based on the IEEE 802.15.4 standard) transceiver, a 3G transceiver, a 4G transceiver, and / or a 5G transceiver. Furthermore, the device may also include, but is not limited to, a power module, a display screen, and other necessary components.

[0119] The working process, working details and technical effects of the electronic device provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0120] The fourth aspect of this embodiment provides a storage medium that stores instructions for an adaptive electronic license plate semi-finished product manufacturing method based on ASA material as described in the first aspect of the embodiment. That is, the storage medium stores instructions that, when executed on a computer, perform the adaptive electronic license plate semi-finished product manufacturing method based on ASA material as described in the first aspect of the embodiment.

[0121] The storage medium refers to a carrier for storing data, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or memory sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0122] The working process, working details and technical effects of the storage medium provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0123] The fifth aspect of this embodiment provides a computer program product containing instructions that, when executed on a computer, cause the computer to perform the method for manufacturing an adaptive electronic license plate semi-finished product based on ASA material as described in the first aspect of this embodiment. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0124] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0125] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for manufacturing a semi-finished adaptive electronic license plate based on ASA material, characterized in that, include: Obtain the license plate production requirement parameters, and calculate the license plate performance parameters based on the license plate production requirement parameters; A pre-trained material ratio inference model is obtained, and the license plate performance parameters are used as input to the material ratio inference model to infer the corresponding material ratio. Based on the material ratio, the corresponding drying process parameters and injection molding process parameters are generated. Based on the drying process parameters and the injection molding process parameters, the electronic license plate semi-finished product is manufactured to obtain a candidate electronic license plate semi-finished product, wherein the candidate electronic license plate semi-finished product is coated with an RFID chip. The system obtains preset product qualification conditions and performs online non-destructive testing on the candidate electronic license plate semi-finished products to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products. Based on the product qualification conditions, the system determines the qualification of the chip signal strength and chip response time to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline process to generate electronic license plate semi-finished products.

2. The method for manufacturing semi-finished adaptive electronic license plates based on ASA materials according to claim 1, characterized in that, Obtain the license plate production requirement parameters, and calculate the license plate performance parameters based on the license plate production requirement parameters, including: Obtain license plate production requirement parameters, wherein the license plate production requirement parameters include license plate size requirement parameters and license plate age requirement parameters, and the license plate size requirement parameters include license plate length parameter, license plate width parameter and license plate thickness parameter; Obtain the preset material calibration constants, and based on the license plate manufacturing requirements parameters, calculate the license plate mechanical strength threshold and license plate weather resistance coefficient using the following formulas: Where, N min The value represents the mechanical strength threshold of the license plate, C represents the weather resistance coefficient of the license plate, L represents the length parameter of the license plate, W represents the width parameter of the license plate, H represents the thickness parameter of the license plate, Y represents the annual requirement parameter of the license plate, k1, k2 and k3 are preset material calibration constants, and e is the base of the natural logarithm. The license plate mechanical strength threshold N min The license plate weather resistance coefficient C is integrated with the license plate to form the license plate performance parameters.

3. The method for manufacturing a semi-finished adaptive electronic license plate based on ASA material according to claim 1, characterized in that, The pre-training process of the material proportioning reasoning model includes: Obtain historical qualified license plate production records, wherein the historical qualified license plate production records include historical qualified license plate size information, historical qualified license plate service life information, and historical qualified license plate material ratio information; The performance parameters of the historically qualified license plates are calculated using the size information and the service life information of the historically qualified license plates. Using the historical qualified license plate performance parameter information as input and the historical qualified license plate material ratio information as output, multiple rounds of model training are performed to obtain the model training result that optimizes the electronic license plate performance parameters, which serves as the material ratio inference model.

4. The method for manufacturing a semi-finished adaptive electronic license plate based on ASA material according to claim 3, characterized in that, The license plate performance parameters are used as input to the material proportioning inference model to deduce the corresponding material proportions. Based on the material proportions, corresponding drying process parameters and injection molding process parameters are generated, including: The license plate performance parameters are used as inputs to the material ratio inference model to infer the corresponding material ratio. The material ratio includes the usage proportions of ASA material, PC material, pigments and additives. The proportion of ASA material in the material ratio is calculated based on the proportion of ASA material used in the material ratio. Obtain a preset ASA material percentage threshold, compare the percentage of ASA material in the material ratio with the ASA material percentage threshold, and obtain the comparison result; If the comparison result shows that the proportion of ASA material in the material ratio is lower than the ASA material proportion threshold, then the first drying process parameters and the first injection molding process parameters are output. If the comparison result shows that the proportion of ASA material in the material ratio is not lower than the ASA material proportion threshold, then the second drying process parameter and the second injection molding process parameter are output. The first drying process parameter or the second drying process parameter is used as the drying process parameter, wherein the drying process parameter includes the drying temperature parameter and the drying time parameter; The first injection molding process parameter or the second injection molding process parameter is used as the injection molding process parameter, wherein the injection molding process parameter includes the injection temperature range and the mold temperature range.

5. The method for manufacturing a semi-finished adaptive electronic license plate based on ASA material according to claim 1, characterized in that, Based on the drying process parameters and the injection molding process parameters, the electronic license plate semi-finished product is manufactured to obtain a candidate electronic license plate semi-finished product, including: According to the material ratio, materials of the corresponding proportion are retrieved from the material library, and the materials are mixed to obtain a blend. The blend is dried according to the drying process parameters, and the dried blend is then fed into the injection molding station. According to the injection molding process parameters, the blend is injection molded at the injection molding station, and the RFID chip is added to the blend for coating treatment to obtain a candidate electronic license plate semi-finished product.

6. The method for manufacturing a semi-finished adaptive electronic license plate based on ASA material according to claim 1, characterized in that, The system obtains preset product qualification conditions and performs online non-destructive testing on the candidate electronic license plate semi-finished products. This involves reading the chip signal strength and response time of the RFID chip encapsulated in the semi-finished product, and determining the passability of the chip signal strength and response time based on the product qualification conditions. This process filters out qualified candidate electronic license plate semi-finished products and automatically completes the production line removal, generating the final electronic license plate semi-finished product, including: At the injection molding station, a pre-set card reader is used to perform online non-destructive inspection on the candidate electronic license plate semi-finished product, so as to read the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished product through the pre-set card reader; Obtain preset product qualification conditions for removal from the production line, wherein the product qualification conditions for removal from the production line include a chip signal strength threshold and a chip response time threshold; Determine whether the signal strength of the chip is not lower than the signal strength threshold of the chip; If the chip signal strength is lower than the chip signal strength threshold, the candidate electronic license plate semi-finished product is considered unqualified. If the chip signal strength is not lower than the chip signal strength threshold, then determine whether the chip response time does not exceed the chip response time threshold. If the chip response time exceeds the chip response time threshold, the candidate electronic license plate semi-finished product is considered unqualified. If the chip response time does not exceed the chip response time threshold, the candidate electronic license plate semi-finished product is considered qualified. The qualified candidate electronic license plate semi-finished products are automatically removed from the production line to obtain the electronic license plate semi-finished products.

7. The method for manufacturing a semi-finished adaptive electronic license plate based on ASA material according to claim 6, characterized in that, After obtaining the semi-finished electronic license plate, the process also includes: Determine whether any of the candidate electronic license plate semi-finished products are unqualified; If any of the candidate electronic license plate semi-finished products are found to be unqualified, they will be kept at the injection molding station, an alarm signal will be issued, and a fault information record will be generated. The fault information record includes the license plate manufacturing requirements parameters of the unqualified candidate electronic license plate semi-finished product, the material ratio of the unqualified candidate electronic license plate semi-finished product, the drying process parameters of the unqualified candidate electronic license plate semi-finished product, and the injection molding process parameters of the unqualified candidate electronic license plate semi-finished product. If no unqualified candidate electronic license plate semi-finished products are found, a production completion notification will be issued after the electronic license plate semi-finished product is obtained.

8. A semi-finished manufacturing system for adaptive electronic license plates based on ASA materials, applied to the semi-finished manufacturing method for adaptive electronic license plates based on ASA materials as described in any one of claims 1 to 7, characterized in that, include: The requirement acquisition module is used to acquire license plate production requirement parameters and calculate license plate performance parameters based on the license plate production requirement parameters. The process reasoning module is used to obtain a pre-trained material ratio reasoning model, take the license plate performance parameters as input, input them into the material ratio reasoning model, and infer the corresponding material ratio through the material ratio reasoning model. Based on the material ratio, the module generates the corresponding drying process parameters and injection molding process parameters. The license plate manufacturing module is used to manufacture electronic license plate semi-finished products based on the drying process parameters and the injection molding process parameters to obtain candidate electronic license plate semi-finished products, wherein the candidate electronic license plate semi-finished products are coated with RFID chips. The product inspection module is used to obtain preset product qualification conditions and perform online non-destructive inspection on the candidate electronic license plate semi-finished products. It reads the chip signal strength and chip response time of the RFID chip encapsulated in the candidate electronic license plate semi-finished products, and judges the qualification of the chip signal strength and chip response time according to the product qualification conditions. In order to screen out qualified candidate electronic license plate semi-finished products and automatically complete the offline production, generating electronic license plate semi-finished products.

9. An electronic device, characterized in that, The device includes a memory, a processor, and a transceiver that are sequentially and communicatively connected. The memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the method for manufacturing a semi-finished adaptive electronic license plate based on ASA material as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program or instructions, characterized in that, When the computer program or the instructions are executed by the computer, they implement the method for manufacturing semi-finished adaptive electronic license plates based on ASA materials as described in any one of claims 1 to 7.

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